2026 March Madness Final Four Picks & Predictions

Saturday, March 28

Two games separate four teams from Indianapolis. For the Elite Eight, we’re running both of our primary frameworks side by side — the efficiency-based model that has been our foundation throughout the tournament, and a power ratings and adjusted offensive/defensive power ratings (AOPR) model that generates three separate predictions based on full season data, the last four games, and the last seven games. Where the two frameworks agree, the signal is strong. Where they diverge, the picture gets complicated. Saturday delivers one of each.

Game 1: Illinois vs. Iowa

Illinois -7 | Total: 138.5

Efficiency Model

Illinois 77.8, Iowa 73.2

The efficiency model has Illinois winning by 4.6 — a clear Illini win, but nowhere near covering the 7-point spread. Illinois owns the highest offensive efficiency (1.232) of any team remaining in the tournament, and Iowa’s defensive efficiency (1.017) has been adequate without being dominant. But the Hawkeyes have been a nightmare to put away all tournament long. Their ability to control pace — they project at 64.8 possessions in a vacuum, helping drag this game down toward the 65-possession range — is exactly the profile that turns a comfortable efficiency edge into a single-digit final margin. Illinois wins, but the efficiency model says Iowa and the points.

The efficiency model’s projected combined score of 151 against a 138.5 total is a 12.5-point over gap — one of the larger over signals we’ve tracked all tournament.

Power Ratings / AOPR Model

This is where it gets genuinely interesting. The full-season power ratings model essentially matches the posted line — Illinois wins by 8, covers the 7. That’s consistent with what we saw in the Sweet 16, where full-season data aligned almost perfectly with the market. But the moment you shift to recent form, the picture flips entirely. Both the last-seven and last-four windows project Iowa winning outright — by a single point in each case, but winning nonetheless. Two independent recent-form timeframes pointing to an Iowa upset, while the efficiency model says Illinois wins but doesn’t cover.

The convergence of signals here is notable: not one of the four model outputs — efficiency model, last-4, last-7, or full-season — projects Illinois covering -7. The full-season power model is the only framework that even has Illinois winning by enough to approach the spread.

The read: Illinois is the better team on paper, and probably wins this game. But -7 appears to be a full-season number against an Iowa team that has been playing its best basketball of the tournament. The model consensus points strongly toward Iowa and the 7 points, with genuine upset potential if the Hawkeyes control pace and make it a half-court game in the final ten minutes. The over at 138.5 also has support from the efficiency model, though the power ratings total projections (ranging from 137 to 147) are more mixed.

Game 2: Arizona vs. Purdue

Arizona -6 | Total: 153

Efficiency Model

Arizona 80.3, Purdue 75.8

Arizona wins by 4.5 in the efficiency model — another case where the favorite wins but doesn’t cover. Purdue’s offensive efficiency (1.224) is the highest of any team left in the bracket, and Braden Smith remains one of the most impactful players in the country. Arizona’s defensive efficiency (0.941) is legitimate, but containing Smith while also managing Purdue’s frontcourt depth is a serious challenge. The efficiency model respects both teams, projects a quality game, and doesn’t see Arizona pulling away for a 6-point win. The projected total of 156.1 is a mild 3.1-point over lean against the 153 line — present but not a major signal.

Power Ratings / AOPR Model

The power ratings model tells a three-part story here. Full season: Arizona wins, but only by 2 — well short of -6. Last seven games: a literal tie at 82-82. Last four games: Arizona covers comfortably, winning by 9. The three timeframes point in completely different directions on the margin, though they all agree Arizona wins or ties. What’s striking is that the last-four window is the only one with enough Arizona-side conviction to justify the -6 line — and even there, the question is whether the last four games represent Arizona’s genuine peak or a hot streak that may not hold at this level of competition. The totals across power ratings windows range from 162 to 179 — all above the 153 line, reinforcing the mild over signal from the efficiency model.

The read: Arizona is the right side directionally — every model framework has the Wildcats winning or tying. But covering -6 requires a consistent level of separation that only one of the four model outputs supports. The efficiency model and two of three power rating windows project a 2-to-4-point Arizona win. Purdue and the 6 points is the consistent cover signal here, with the Boilermakers’ offensive firepower keeping them within striking distance regardless of how Arizona’s backcourt performs. If Braden Smith has a big game and Purdue controls their half-court possessions, this is a 2-possession game late. The over also has modest support across models, with most projections landing in the 156-165 range against a 153 total.

Saturday Summary

Both games project the favorite winning but not covering. That’s not a coincidence — Elite Eight teams are separated by incredibly thin margins, and the betting market prices these games with full-season data that the efficiency model largely confirms. The recent-form model is where the divergences show up, and on Saturday both divergences point toward the underdog covering.

Iowa covering Illinois and Purdue covering Arizona would be the outcomes most consistent with the overall weight of the model evidence heading into Saturday. Both games project as closer than the spread in multiple frameworks, and in Illinois/Iowa, two independent recent-form windows are calling an outright Iowa upset.

The Final Four picture will come into focus Saturday night. Enjoy the games.

Thursday & Friday, March 26-27

The Sweet 16 is here, and we’re shifting gears on the model. Through the first two rounds, our projections used full-season efficiency data — and a quick note on that: when we ran the full-season model against the Sweet 16 lines, the outputs landed almost exactly on the posted spreads for every game. That’s a meaningful signal. It tells you the oddsmakers are building these lines from the same foundation — season-long efficiency and tempo data. When your model matches the market dead-on, the market is probably right.

So where does the edge come from? The last seven games. For the Sweet 16 and beyond, we’ve shifted to a rolling recent-form model that weights only the last seven games for each team. Recent form captures momentum, injuries, rotational adjustments, and the tactical evolution that happens as teams heat up or cool down heading into March. Predictably, some of those outputs diverge from the posted lines — in a few cases, quite sharply. Those divergences are the story of this preview.

One additional note before the breakdown: Houston hosts their Sweet 16 game with massive home crowd support, playing at their de facto home venue. That’s a real factor emotionally, but it’s worth acknowledging that the Cougars play only a game or two per season at this building, so there’s no genuine court-familiarity edge to price in. The crowd will show up. The home-court advantage in the traditional sense will not.

Thursday & Friday Breakdowns

Houston -3.5 vs. Illinois | Total: 140.5 Recent-form model: Houston 83, Illinois 70

The model strongly agrees with the market’s directional read here, but not its magnitude. Houston wins by 13 in the recent-form projection, covering the 3.5-point spread with room to spare. The crowd factor is real — this is as close to a home game as the Cougars will get in this tournament — and Illinois, despite its elite offensive efficiency (1.232 season-long), has been inconsistent in the back end of their schedule. Recent-form data appears to be pulling the Illini down meaningfully. The projected total of 153 against a 140.5 line is a 12.5-point over gap — one of the larger over signals we’ve seen all tournament. The combination of Houston covering and a notable over lean makes this the most straightforward game on the board from the model’s perspective.

Nebraska -1.5 vs. Iowa | Total: 133.5 Recent-form model: Iowa 69, Nebraska 67

Iowa wins outright according to the recent-form model, despite Nebraska being listed as a 1.5-point favorite. Nebraska has never won an NCAA Tournament game in program history — a fact that became relevant when they survived Troy in the first round — and the Cornhuskers barely advanced past Vanderbilt in the second round in what the model had projected as a virtual coin flip. Iowa, meanwhile, has been playing their best basketball of the tournament. The recent-form model sees the Hawkeyes as the slightly better team right now. Model total of 136 is a mild over lean against 133.5 — nothing actionable. The result call is the story: Iowa to upset Nebraska and reach the Elite Eight.

Purdue -7 vs. Texas | Total: 148.5 Recent-form model: Purdue 89, Texas 76

Purdue covers comfortably and the recent-form model shows the most dramatic over lean of the entire Sweet 16 slate. A projected combined score of 165 against a 148.5 line is a 16.5-point gap that’s hard to ignore. Braden Smith — now the all-time Division I assists leader — has been playing at an extraordinary level over the last seven games, and Purdue’s offensive efficiency (1.224) leads all eight Sweet 16 teams. Texas, meanwhile, has a defensive efficiency of 1.080 that has been getting carved up by quality offenses recently. The model sees this as a track meet that gets away from the Longhorns in the second half. Purdue covers, and the over at 148.5 may be the strongest totals signal of the Sweet 16 weekend.

Arizona -8 vs. Arkansas | Total: 167.5 Recent-form model: Arizona 99, Arkansas 82

Arizona wins by 17 in the model — easily covering the 8-point spread — and the projected total of 181 sits 13.5 points above the posted 167.5. Both signals are consistent: the Wildcats have been the most complete team in the tournament and the recent-form data reflects that, while Arkansas’s defensive liability (1.068 season DE, and apparently worse recently) is getting fully exposed. This is a high-octane West Region clash with significant pace (72.6 projected possessions), and the model sees it running up the scoreboard. Arizona advances convincingly, and the over at 167.5 appears underpriced.

Duke -7 vs. St. John’s | Total: 142 Recent-form model: Duke 69, St. John’s 68

The model’s most intriguing output of the Sweet 16. Duke wins by a single point — nowhere close to covering the 7-point spread. The full-season model had this lined up exactly with the posted spread, which means the divergence is entirely recent-form driven. St. John’s has been on a run, Rick Pitino’s team plays with an intensity and defensive identity that translates well in the tournament, and the Blue Devils have shown vulnerability in close games this season. Duke wins, but this is a cover alert against the Blue Devils at -7. The projected total of 137 sits 5 points below the 142 line — a modest under lean that is the only qualifying under signal of the Sweet 16 slate so far. Duke wins it, St. John’s covers, and the under has some merit.

UConn -1.5 vs. Michigan State | Total: 136.5 Recent-form model: Michigan State 81, UConn 70

Michigan State wins outright — the biggest recent-form upset call of the Sweet 16. UConn is listed as a 1.5-point favorite, but the model has the Spartans winning by 11. Michigan State’s recent-form numbers have clearly been trending upward, while UConn shot just 20% from three against Furman before Tarris Reed Jr. single-handedly kept them alive. The Huskies’ offense has looked inconsistent when Reed isn’t dominant. Dan Hurley’s teams have historically elevated in March, but the last-seven-games framework suggests MSU is the hotter team right now. This is a direct contradiction of the market — a team listed as a slight underdog projected to win by double digits on recent form. The projected total of 151 against a 136.5 line is a 14.5-point over gap, the second-largest of the weekend. Michigan State straight up, and the over.

Michigan -10 vs. Alabama | Total: 175 Recent-form model: Michigan 91, Alabama 85

Michigan wins in the model — the direction is right — but the margin of 6 points falls well short of the 10-point spread. Alabama covers per the model’s projection. The Crimson Tide’s defensive efficiency (1.081) has been an issue all season, but their offense (1.188) keeps them in games, and the recent-form model sees them playing competitive basketball down the stretch. The projected total of 176 is essentially dead-on to the 175 line — no totals edge here, just a straightforward spread signal. Michigan wins, Alabama covers the 10.

Iowa State -4.5 vs. Tennessee | Total: 138.5 Recent-form model: Iowa State 78, Tennessee 68

Iowa State covers by 10, and the projected total of 146 represents a 7.5-point over gap against the 138.5 line. The Cyclones have been dominant in their recent form, with the best defensive efficiency of any team still standing in the Midwest Region (0.934). Tennessee, despite their solid profile, has struggled to generate offense (1.137 OE, the lowest of any Sweet 16 team) and the model sees that limitation being exposed over four quarters against Iowa State’s defense. The Cyclones are a legitimate Final Four program, and both signals — cover and over — point in the same direction here.

Sweet 16 Summary

Model upsets (outright): Iowa over Nebraska, Michigan State over UConn

Non-covers despite wins: Duke (-7, wins by 1), Michigan (-10, wins by 6)

Strongest totals signals: Purdue/Texas (+16.5 over), Michigan State/UConn (+14.5 over), Arizona/Arkansas (+13.5 over), Houston/Illinois (+12.5 over)

Only under lean: Duke/St. John’s (-5 below line)

The biggest takeaway from the recent-form model is how much the landscape has shifted from the opening weekend. Where full-season data validated the posted lines almost exactly, the last-seven-games framework is projecting meaningful divergences across six of the eight matchups. Michigan State over UConn and Iowa over Nebraska are the two outright upset calls to watch. The totals landscape is almost uniformly pointing over — the market appears to have set Sweet 16 totals conservatively, and recent scoring trends suggest several of these games could blow past their numbers.

Lines as of March 24, 2026. All lines subject to movement.

Sunday, March 22

Before diving into Sunday’s slate, a quick recap of where we stand with the model and our first-weekend totals plays. This has been a strong tournament for the efficiency-based projections: High Point was called to beat Wisconsin straight up in Round 1, and it happened — 83-82. VCU was called to beat North Carolina, and it happened in overtime. On the totals side, our historically reliable first-weekend under plays finished either 2-2 or 3-1 depending on how the Michigan/Saint Louis under at 161.5 resolved Saturday.

There are no designated under plays for Sunday’s games — that closes out the first-weekend totals series at four plays. The focus Sunday is entirely on sides and where the model diverges most sharply from the market.

The Games

Purdue -7.5 vs. Miami (FL) | 12:10 p.m. | CBS | Total: 148.5 Model: Purdue 79.0, Miami 77.3

The market has Purdue laying 7.5 points. The model has Purdue winning by 1.7. That’s a six-point gap entirely in Miami’s favor from a cover standpoint, and it’s the second-strongest spread signal on Sunday’s board. Miami knocked off Missouri in the first round, Malik Reneau put up 24 points, and the Hurricanes bring a physical, experienced ACC roster into this game. Purdue’s defensive efficiency (1.048) has been a persistent vulnerability, and Miami’s front line can exploit it. Purdue wins in the model, but Miami and the 7.5 points is where the value is. Model-projected total of 156.3 vs. 148.5 is a 7.8-point over lean — notable but not a formal play.

Iowa State -4.5 vs. Kentucky | 2:45 p.m. | CBS | Total: 145.5 Model: Iowa State 79.4, Kentucky 69.6

The model’s most decisive result of the day. Iowa State wins by nearly 10 points, comfortably covering the 4.5-point spread. The Cyclones own the best defensive efficiency on Sunday’s slate (0.934), and Kentucky is coming off a draining overtime win against Santa Clara on Friday — playing back-to-back high-effort games with little margin for recovery. Iowa State’s offensive efficiency (1.173) is also legitimate, and the model sees this as a comfortable separation game in the second half. Iowa State covers.

St. John’s -3 vs. Kansas | 5:15 p.m. | CBS | Total: 144 Model: St. John’s 73.3, Kansas 68.7

The model has St. John’s winning by 4.6, which covers the 3-point spread. Rick Pitino’s team has back-to-back Big East regular season and tournament titles and enters with genuine Final Four ambitions. Kansas has the talent — Darryn Peterson is a potential top NBA Draft pick — but the Jayhawks have been inconsistent all season and escaped a scare against Cal Baptist in Round 1. The model trusts the Johnnies here. Model total of 142 is 2 points below the 144 line — a mild under lean but not enough to act on.

Virginia vs. Tennessee -1.5 | 6:10 p.m. | TNT | Total: 137.5 Model: Virginia 75.0, Tennessee 72.4

Virginia wins outright in the model despite being listed as a 1.5-point underdog. The Cavaliers are 29-5 and bring elite defensive efficiency (0.979) into a matchup where Tennessee (1.137 OE) has the lowest offensive efficiency of any team on Sunday’s slate. Tony Bennett’s system is built for exactly this environment — neutral court, slow pace, physical defense, low-margin basketball. Tennessee dominated Miami (Ohio) in Round 1 behind 53% shooting, but the model doesn’t expect that to carry against a completely different defensive identity. Rick Barnes has a well-documented rough history against the spread in the NCAA Tournament. The model takes Virginia. Model total of 147.4 vs. 137.5 shows a large over lean, but that’s a reflection of how low the market has set this number rather than a formal play signal.

Florida -10 vs. Iowa | 7:10 p.m. | TBS | Total: 145.5 Model: Florida 77.2, Iowa 72.4

Florida wins by 4.8 in the model, laying 10. Iowa covers by roughly five points per the model’s projection — the single strongest cover signal of Sunday’s eight games. Iowa held opponents to 66 points per game this season, shoots 49.1% from the field, and is built to control pace and keep games in the low-70s range regardless of opponent. The defending champion Gators have the interior trio of Haugh, Condon, and Chinyelu to impose their will, but Florida at -10 requires a type of blowout the model simply doesn’t project here. Iowa and the 10 points is the play.

Arizona -11 vs. Utah State | 7:50 p.m. | truTV | Total: 156.5 Model: Arizona 79.5, Utah State 73.3

Arizona wins by 6.2 in the model, but the market has them laying 11. Utah State covers according to the projection. The Aggies are 28-6, knocked off Villanova as a 9-seed, and their offensive efficiency (1.162) is legitimate against anyone. Arizona is the most complete team in the tournament with Burries and Bradley as the tournament’s best backcourt, and they advance — but the model doesn’t see the double-digit blowout the spread requires. Utah State and the points.

UConn -4 vs. UCLA | 8:45 p.m. | TNT | Total: 137.5 Model: UConn 75.4, UCLA 69.3

UConn wins by 6.1 and covers the 4-point spread. The Huskies’ edge over UCLA is almost entirely defensive (0.948 DE), and both teams carry nearly identical offensive efficiency marks. Tarris Reed Jr. was a force against Furman with 31 points and 27 rebounds, and Dan Hurley’s teams typically elevate from round to round. UCLA is a quality opponent — 38.2% from three makes them dangerous — but the model sees UConn controlling pace and pulling away. The model total of 144.7 vs. 137.5 is a 7.2-point over lean, which is notable even if not a formal play. UConn covers.

Alabama -1 vs. Texas Tech | 9:45 p.m. | TBS | Total: 165 Model: Texas Tech 84.7, Alabama 84.4

The night’s final game is the one the model refuses to decide. Texas Tech wins by 0.3 points — genuinely indistinguishable from a coin flip. What makes this more interesting is that the market now has Alabama as a 1-point favorite, while the model barely leans the other way. Alabama’s defensive efficiency (1.081) is a concern in a tournament setting, and Texas Tech has been playing inspired basketball since Christian Anderson stepped into J.T. Toppin’s role. But with a 0.3-point projection, there’s no conviction in either direction. Both offenses are in the 1.15+ range, both teams push pace, and the model total of 169.1 is 4.1 points above the 165 line — a mild over lean. Watch the line movement on this one and trust your read. The model has nothing to offer beyond “expect a game.”

Sunday Summary

Strongest model-vs.-market gaps: Iowa covers Florida (-10), Miami covers Purdue (-7.5), Utah State covers Arizona (-11), Virginia beats Tennessee outright.

Model advances to the Sweet 16: Iowa State, St. John’s, Virginia, Florida (barely), Arizona, UConn, Texas Tech (barely), and the toss-up between Purdue and Miami.

Enjoy the final day of the first weekend. The Sweet 16 preview is coming.

Saturday, March 21

The first round delivered. High Point pulled off one of the best 12-over-5 upsets of recent memory, knocking off Wisconsin, while VCU validated what our model projected by eliminating North Carolina. Both were among our model’s upset picks heading in, and both cashed — which makes Saturday’s slate considerably more interesting, because the same framework is projecting a few more results the betting market isn’t pricing correctly.

A quick reminder on methodology: these efficiency-based projections perform better across larger regular-season samples than in the one-and-done tournament environment. Use them as analytical context, not gospel. That said, the model has earned some credibility this weekend.

Also worth noting on the totals front: our under plays in the first round went 2-1, continuing a multi-year trend of hitting when there’s a significant gap between the model’s projected combined score and the posted total. There’s one qualifying under on the board for Saturday, and we’ll get to it.

Saturday Under Play

Michigan -12.5 vs. Saint Louis | Total: 161.5 ⬇️ UNDER

The model projects Michigan 79, Saint Louis 76 — a combined 155.5 against a 161.5 line. That’s a 6-point gap, which clears our historical threshold and matches the type of under signal that has hit consistently in first-weekend tournament action. Saint Louis came into this tournament 28-5 and knocked off Georgia in the first round playing controlled, deliberate basketball. Michigan’s projected pace of 72.2 and Saint Louis’s 73.5 suggest neither team is going to run. The model actually sees the Billikens keeping it surprisingly close — which, if true, only reinforces the under: tight games kill scoring volume. Michigan wins, but this total is too high.

The Games

Michigan State vs. Louisville | Total: 151 | Spread: MSU -4 Model: Louisville 76.7, Michigan State 75.3

The model calls the mild upset here — Louisville over Michigan State by a point and a half. The Spartans have been one of the most consistent programs in the country, but Louisville came into this tournament as a 6-seed with legitimate offensive efficiency numbers (1.171 OE) and has been undervalued most of the season. The projected pace of 69.2 keeps this in the low 150s, and the model total of 152 is essentially right on the posted line. The spread is the story: laying 4 with Michigan State when the model leans the other way is a hard sell.

Michigan -12.5 vs. Saint Louis | Total: 161.5 | Spread: Michigan -12.5 Model: Michigan 79.0, Saint Louis 76.5 — UNDER 161.5

Covered above. Michigan wins — but not by 12.5, and not at 161.5 points total if the model is right. The 6-point under gap is the best totals signal on Saturday’s board.

Duke -11.5 vs. TCU | Total: 139 | Spread: Duke -11.5 Model: Duke 78.7, TCU 65.0

Duke is the most dominant model output of the day at a projected 13-point win, which lands right in line with the spread. The efficiency numbers are stark: Duke’s 1.201 offensive efficiency and 0.915 defensive efficiency are elite, while TCU (1.083 OE) has struggled to score against quality competition. The projected pace of 69.1 keeps the total modest, and the model’s combined score of 143.7 suggests a mild lean toward the over at 139 — a 4.7-point gap, just under our formal trigger. Duke is the most trustworthy cover on the board if you’re looking for favorites to win big.

Illinois -10.5 vs. VCU | Total: 151.5 | Spread: Illinois -10.5 Model: Illinois 81.0, VCU 76.1

VCU earned this by beating North Carolina outright in Round 1, and the Rams won’t go quietly. But Illinois is built differently — their offensive efficiency of 1.232 is the highest mark among all eight teams on Saturday’s slate. The model projects a 5-point Illinois win, which means VCU covers even if they lose. The projected total of 157.1 vs. a 151.5 line is a 5.6-point over gap, which technically clears our threshold — though this is an over rather than an under, and over plays haven’t carried the same historical hit rate in our first-weekend data. Still worth noting if you’re playing totals on this game.

Nebraska vs. Vanderbilt -2.5 | Total: 147.5 | Spread: Vanderbilt -2.5 Model: Nebraska 75.4, Vanderbilt 75.3

Essentially a coin flip. The model projects a 0.07-point Nebraska edge — so close it’s functionally a pick ’em — while the market has Vanderbilt as a 2.5-point favorite. Nebraska has never won an NCAA Tournament game, which adds an interesting psychological layer to a matchup the model sees as dead even. Vanderbilt enters playing their best basketball of the season after the SEC tournament run, but their defensive efficiency (1.019) is a concern against any team with scoring ability. This projected pace of 69.8 and model total of 150.75 lands near the 147.5 line — no strong total signal.

Houston -10 vs. Texas A&M | Total: 142 | Spread: Houston -10 Model: Houston 79.9, Texas A&M 71.9

Houston wins by 8 in the model, which means Texas A&M covers the 10-point spread. The more interesting number here is the total: model projects 151.7 against a posted 142 — a 9.7-point over gap, the largest on Saturday’s board. This would normally flag as a strong over signal, though the same caveat applies as with Illinois/VCU — over signals haven’t been as clean in our historical first-weekend data as the under plays have been. Houston’s defensive efficiency (0.927) and slower 67.2 pace suggests they’ll keep the lid on somewhat, but the market may be dramatically undervaluing both teams’ scoring output here.

Arkansas -11.5 vs. High Point | Total: 168.5 | Spread: Arkansas -11.5 Model: High Point 86.3, Arkansas 81.5

Let’s just say it clearly: the model likes High Point to pull off a second consecutive upset. The Panthers beat Wisconsin in the first round and the same efficiency framework that projected that upset is projecting them to eliminate Arkansas as well. High Point’s offensive profile (1.181 OE) is legitimate — they averaged a 19.7-point margin all season — and Arkansas’s defensive efficiency (1.065) is a significant liability. The projected pace of 72.6 makes this a high-scoring affair, and the model total of 167.7 is nearly a perfect match to the 168.5 line. There’s no totals edge here — this is purely a result call, and it’s the most aggressive one on the board. Whether you believe in it is up to you, but this model called Wisconsin in Round 1.

Gonzaga -5.5 vs. Texas | Total: 147.5 | Spread: Gonzaga -5.5 Model: Gonzaga 84.5, Texas 71.8

Gonzaga covers comfortably in the model at a projected 12.7-point win, nearly double the spread. Texas (1.168 OE) has offensive capability but a defensive efficiency of 1.085 that has been exploited by quality offenses all year — and Gonzaga (1.179 OE, 0.914 DE) is exactly the type of team that exploits it. The projected combined score of 156.3 vs. a 147.5 total represents an 8.8-point over gap, another large over signal. At a projected pace of 70.1, neither team is especially slow, and if Gonzaga gets rolling early, this could become a track meet. The over at 147.5 appears underpriced if the model is anywhere close.

Summary

Designated under play: Michigan/Saint Louis under 161.5 (model: 155.5, gap: -6.0)

The High Point call is the headline, but the Saint Louis under is the play with the clearest historical backing. Enjoy Saturday.

Thursday, March 19 & Friday, March 20

The bracket is set, the First Four is underway, and the real madness kicks off Thursday when 32 teams take the floor across four venues simultaneously. As always at BettorsWorld, our multi-timeframe predictive models have been run across every matchup we can lock in — and there are a few games worth watching very closely from a totals perspective.

One important note: four games are not covered in this preview. The Thursday Michigan game (Midwest 1-seed), Thursday’s BYU game (West 6-seed), Friday’s Florida game (South 1-seed), and Friday’s Tennessee game (Midwest 6-seed) all depend on the outcomes of First Four matchups currently being decided Tuesday and Wednesday in Dayton. Once those results are in, we can run those lines. Check back for updates.

The model predictions you’ll see below reflect the same framework we’ve used all season. It’s also worth noting upfront: these models tend to perform better in the regular season, when sample sizes are larger and schedule-adjusted efficiency metrics have more data to work with. The tournament introduces neutral-court dynamics, one-and-done pressure, bracket positioning, and matchup quirks that regular-season data doesn’t always capture cleanly. Use these as one input, not a crystal ball.

The One Trend Worth Tracking This Weekend

Before breaking down the games, here’s a pattern that’s paid off consistently over the last five years of first-round tournament action: unders in games where our model’s predicted total falls 5 or more points below the posted line. Tournament basketball tends to run slower than regular-season averages suggest — defenses tighten, pace slows down in close games, and the margin for predictive model error usually benefits the under side when there’s a significant gap. There won’t be many qualifying games, but the ones that meet the threshold are worth noting. We’ll flag them in the breakdowns below.

Thursday, March 19

Nebraska -13.5 vs. Troy | Total: 134.5 Model: Nebraska 76, Troy 68 (Total: 144)

Nebraska opened as a heavy favorite and the model agrees on the winner, projecting a Huskers win but a Troy cover. Model predicted total of 144 is well above the 134.5 line — a near-10-point gap — which actually points toward the over here rather than our under trend. Nebraska has never won an NCAA Tournament game in program history, which adds a layer of caution when talking about covering large spreads.

Louisville -7.5 vs. South Florida | Total: 163.5 Model: Louisville 82, South Florida 79 (Total: 161)

The model likes Louisville to advance but sees a tighter game than the spread implies. With a projected total of 161 against the 163.5 line, it’s close but doesn’t quite clear the 5-point threshold for our under angle.

Wisconsin -12.5 vs. High Point | Total: 166.5 ⬇️ Under Watch Model: High Point 84, Wisconsin 77 (Total: 161)

This is one of the most fascinating games of the opening round regardless of betting angle. High Point is 30-4 with the nation’s largest average scoring margin at 19.7 points per game and has won 14 straight. The Panthers aren’t a typical 12-seed. Our model actually flips the result entirely and projects a High Point upset — which may or may not prove correct — but more importantly for totals purposes, it projects a combined score of 161 against a 166.5 line. That 5.5-point gap qualifies as one of our under plays of the weekend. Wisconsin fires from three at a massive rate (33 attempts per game), and if High Point can limit transition opportunities, this one could stay well in the 150s.

Duke -27.5 vs. Siena | Total: 136.5 Model: Duke 75, Siena 61 (Total: 136)

The model and the market are nearly in perfect alignment on the total here. Duke cruises as the No. 1 overall seed, but if you’re looking for anything of note, Siena has been battle-tested in the MAAC. The model sees the Blue Devils winning comfortably — nothing surprising — but Cameron Boozer and company have dealt with injuries this season that could affect their ceiling in this region.

Vanderbilt -10.5 vs. McNeese | Total: 150.5 Model: Vanderbilt 76, McNeese 75 (Total: 151)

McNeese has made three consecutive NCAA Tournament appearances and the Cowboys are high-octane with high-major athleticism. The model projects an absolute dogfight — a one-point Vanderbilt win — making this potentially the most on-edge game of the opening round. If you’re looking for a potential 12-over-5 upset, McNeese has the profile. The model’s near-perfect alignment with the total (151 vs. 150.5 posted) doesn’t signal a lean either way.

Michigan State -15.5 vs. North Dakota State | Total: 143.5 Model: Michigan State 75, North Dakota State 72 (Total: 147)

The model projects a surprisingly competitive game here. North Dakota State won the Summit League at 27-7, and the model pegging this as a 3-point MSU win should give Spartans backers a moment of pause. The projected total of 147 is above the 143.5 line, a modest gap that doesn’t clear our threshold but edges toward the over.

Arkansas -15.5 vs. Hawai’i | Total: 161.5 Model: Arkansas 80, Hawai’i 78 (Total: 158)

Hawai’i’s first tournament appearance since 2016 doesn’t have the Rainbows playing spoiler according to the model, but it does see them keeping it close. A projected 3.5-point under gap (158 vs. 161.5) doesn’t quite cross our threshold, but the under still has some merit if the game plays tight throughout.

North Carolina -2.5 vs. VCU | Total: 155.5 Model: VCU 76, North Carolina 75 (Total: 151)

One of the true upset calls of the weekend — the model actually sides with VCU to eliminate North Carolina. The Tar Heels have dealt with the Caleb Wilson injury situation late in the season, and VCU has been one of the hottest teams in the country, losing just once since January 10. That kind of form in a one-and-done environment is dangerous. The projected total of 151 vs. the 155.5 line represents a 4.5-point under lean but doesn’t quite hit our 5-point trigger.

Saint Mary’s -2.5 vs. Texas A&M | Total: 148.5 Model: Saint Mary’s 80, Texas A&M 75 (Total: 155)

The Gaels are disciplined and methodical, but the model projects a faster-paced game than the market expects, with the combined score coming in at 155 against a 148.5 total — a 6.5-point gap in favor of the over. It’s not an under spot, but worth noting if you’re tracking totals.

Illinois -21.5 vs. Penn | Total: 149.5 Model: Illinois 83, Penn 69 (Total: 152)

Illinois wins but doesn’t cover according to the model. The Illini have been one of the more volatile teams late in the season — four of their last nine games went to overtime — but against an Ivy League opponent on a neutral floor, expect the talent gap to show. Penn earns the bid as the Ivy champion, having beaten Yale in an overtime classic in the title game.

Georgia -1.5 vs. Saint Louis | Total: 171.5 ⬇️ Under Watch Model: Saint Louis 85, Georgia 79 (Total: 164)

Another model upset — Saint Louis over Georgia — and this one comes with the single biggest totals gap of the weekend. The line at 171.5 is enormous for a first-round game between an 8 and 9 seed. Our model projects a combined score of 164, a 7.5-point gap well clear of the 5-point threshold. Saint Louis finished 28-5, is one of the hottest teams in the South, and the model believes in them here. The under at 171.5 is the strongest under signal of the entire opening weekend.

Gonzaga -18.5 vs. Kennesaw State | Total: 157.5 ⬇️ Under Watch Model: Gonzaga 85, Kennesaw State 67 (Total: 152)

A third qualifying under spot. Gonzaga wins this game — that’s not in doubt — but the model projects a combined 152 against the 157.5 line, a 5.5-point gap. Kennesaw State, appearing in just its second-ever NCAA Tournament, won the C-USA crown but finished the season 21-13 overall. Gonzaga’s defense limiting a lower-tier offense to the mid-60s fits the model’s projection well.

Houston -21.5 vs. Idaho | Total: 133.5 Model: Houston 77, Idaho 64 (Total: 141)

Houston wins, but the model sees a 7.5-point over gap (141 vs. 133.5). Idaho is a Big Sky program appearing in its first tournament since 1990, finishing just 21-14 on the season. The Cougars have made six consecutive Sweet Sixteens and should dispatch Idaho efficiently. The model leans toward the over here, not the under.

Friday, March 20

Kentucky -2.5 vs. Santa Clara | Total: 161.5 Model: Santa Clara 80, Kentucky 77 (Total: 157)

Another called upset — Santa Clara over Kentucky. The Broncos return to the tournament for the first time in 30 years behind a 26-8 season and 15-3 WCC record, and the model says they pull it off. Kentucky at 21-13 is a team the committee arguably overseeded. The projected total of 157 vs. 161.5 reflects a 4.5-point under lean — just short of our trigger — but if Santa Clara controls pace (which is their identity), the under has natural appeal.

Texas Tech -8.5 vs. Akron | Total: 155.5 Model: Akron 82, Texas Tech 78 (Total: 160)

A potential bracket-buster: the model projects Akron upsets Texas Tech. The Zips won the MAC at 29-5 and 17-1 in conference play, and the model sees them as the more explosive team in this matchup. The projected total of 160 exceeds the 155.5 line by 4.5 points — a slight lean toward the over.

Arizona -29.5 vs. Long Island | Total: 150.5 Model: Arizona 80, LIU 66 (Total: 146)

The 1-seed eliminates the 16. The model has LIU playing respectably but losing by 14. The projected total of 146 vs. 150.5 is a mild under lean but doesn’t clear 5 points.

Iowa State -23.5 vs. Tennessee State | Total: 148.5 Model: Iowa State 79, Tennessee State 66 (Total: 145)

Iowa State cruises. The Cyclones are 27-7 with one of the best defensive profiles in the country, and Tennessee State’s first tournament since 1994 is likely to be a brief visit. Model and line are very close on the total.

Purdue -23.5 vs. Queens | Total: 165.5 Model: Purdue 90, Queens 79 (Total: 169)

Purdue rolls, though the model projects it as a significantly higher-scoring game than the market does — 169 projected vs. 165.5 line. This is a 3.5-point over lean, driven largely by Braden Smith and the Boilermakers’ explosive offense.

Virginia -17.5 vs. Wright State | Total: 144.5 Model: Virginia 80, Wright State 72 (Total: 152)

The model actually projects a 7.5-point over gap here (152 vs. 144.5), one of the larger over signals of the weekend. Virginia, the ACC runner-up at 29-5, is a quality team but Tony Bennett’s program typically plays at a methodical pace — yet Wright State won the Horizon League and has shown offensive capability. The model’s over signal here is notable.

Alabama -12.5 vs. Hofstra | Total: 162.5 Model: Alabama 80, Hofstra 80 (Total: 160)

The model’s most eye-opening output of the entire slate: a predicted tie at 80-80, of course impossible in the actual game, but the signal is clear — this is too close for comfort. Hofstra, making its first tournament appearance since 2001 after winning the CAA, is no pushover. The model is essentially saying Alabama covers nothing and this could come right down to the wire. Fade that spread at your own risk. The total projection of 160 vs. 162.5 is a mild under lean.

Kansas -12.5 vs. Cal Baptist | Total: 134.5 Model: Kansas 68, Cal Baptist 67 (Total: 135)

Similar warning to the Alabama-Hofstra situation: Kansas wins by one point in the model. Cal Baptist won the WAC championship in their first year of eligibility and are 25-8. The model sees this as a potential massive upset — Cal Baptist covering a 12.5-point spread and possibly winning outright. The total of 135 is nearly exactly at the line.

St. John’s -9.5 vs. Northern Iowa | Total: 130.5 Model: St. John’s 68, Northern Iowa 65 (Total: 133)

The Johnnies win according to the model, but Northern Iowa could be the value play of the weekend. The Panthers won four games in four nights at Arch Madness — the first team ever to accomplish that feat — including wins over teams they had no business beating. Tristan Smith’s return from injury makes them more dangerous. The model’s 3-point win for St. John’s is far tighter than the 9.5-point spread.

Miami -2.5 vs. Missouri | Total: 150.5 Model: Miami 81, Missouri 74 (Total: 155)

Miami advances in the model’s projection. The total of 155 vs. 150.5 posted is a 4.5-point over lean — close to the threshold but not quite there.

Villanova vs. Utah State -1.5 | Total: 147.5 Model: Utah State 77, Villanova 73 (Total: 150)

The model sides with Utah State, which opened as a slight favorite and is 28-6 on the season. Both schools fit a similar profile of disciplined mid-major-style basketball with tournament pedigree. A low-key but well-matched game.

Clemson vs. Iowa -1.5 | Total: 130.5 Model: Iowa 71, Clemson 69 (Total: 140)

Iowa opened as a narrow favorite and the model agrees, projecting a 2-point Hawkeyes win. The model’s projected total of 140 vs. the 130.5 line is a significant over gap of 9.5 points — the largest over signal of the entire weekend. If you’re playing totals on Friday, this one is worth a look on the over side.

UCLA -5.5 vs. UCF | Total: 154.5 Model: UCLA 80, UCF 76 (Total: 156)

UCLA wins comfortably enough and the model closely mirrors the market on the total. Nothing stands out here beyond a fairly routine higher-seed advance.

UConn -18.5 vs. Furman | Total: 136.5 Model: UConn 76, Furman 66 (Total: 142)

UConn wins but doesn’t cover according to the model. We dosagree and think UCONN bounces back from their Big East loss to St Johns in a big way. Furman won the Southern Conference for the second time in three years but the talent gap is significant. The model projects an over gap of about 5.5 points, but this is primarily a coverage question — not a totals play.

Summary: Totals to Watch

The three qualifying under plays — Wisconsin/High Point, Georgia/Saint Louis, and Gonzaga/Kennesaw State — align with our historically strong trend of tournament unders when the model gap exceeds 5 points. The Georgia/Saint Louis total of 171.5 stands out as the biggest single under opportunity on the board this weekend.

As always, the tournament rewards discipline. There are a lot of games, a lot of noise, and a lot of bad public bets to be made over the next two days. Pick your spots, trust the process, and enjoy the madness.

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Tournament Info

When: March 11–14, 2026
Where: Madison Square Garden, New York, NY
Format: Top 5 seeds receive first-round byes; 11-team field
TV: Peacock/NBCSN, FS1, FOX | Championship on FOX, March 14 at 6:30 PM ET

Team Stats at a Glance

Before we dive into the matchups, here’s a look at the key efficiency metrics for every team in the field. Offensive Efficiency (OE) and Defensive Efficiency (DE) are points per 100 possessions. Pace is possessions per 40 minutes. 3PT Rate is the share of field goal attempts taken from three.

The Contenders: Breaking Down the Top Four Seeds

#2 UConn Huskies (+100) — The Betting Favorite

The numbers back up the market. UConn’s net efficiency margin of +0.197 is the best in the field by a significant margin — nearly 5 points better than St. John’s. The Huskies play at the slowest pace in the conference (68.7 possessions per 40 minutes), which is by design. Dan Hurley’s teams control tempo, grind opponents into uncomfortable offensive situations, and exploit mistakes. Their 0.948 defensive efficiency is the best in the field, and at 40.0% three-point rate they’re balanced enough offensively to score in multiple ways.

The one legitimate vulnerability in UConn’s profile is foul trouble. The Huskies are near the bottom nationally in Free Throw Rate defense, meaning they send opponents to the line at a high clip. At a neutral court in MSG, officiating tendencies could play a bigger role than in conference play. Still, this is the class of the tournament and the right side to be on.

Best bet: UConn +100 to win the tournament. Near-even money on the most efficient team in the field is a gift. Back it.

#1 St. John’s Red Storm (+185)

St. John’s is the top seed by virtue of finishing with the best conference record, but the advanced metrics tell a slightly different story. Their 1.109 OE is third in the field, and their 0.956 DE is solid — but both trail UConn meaningfully. Where Rick Pitino’s Red Storm struggle is on offense: a 33.9% three-point rate (by far the lowest in the conference) means they live in the mid-range and at the rim. That makes them efficient on a per-possession basis, but predictable against disciplined defenses.

St. John’s plays at the fastest pace in the conference (73.8), which creates an interesting dynamic at MSG where they’ll have significant fan support. If they can push tempo, get to the foul line, and avoid half-court offensive stagnation, they’re dangerous. But in a potential semifinal against UConn on a neutral floor, the Huskies’ methodical pace will neuter the Red Storm’s transition attack. St. John’s is a fine play at +185 if you believe in home-crowd energy carrying them, but the metrics favor UConn head-to-head.

#3 Villanova Wildcats (+650)

Villanova is the most fascinating team in this bracket. Their 1.116 OE ranks second in the field — better than St. John’s — but a 1.017 DE means they’re giving up roughly a point per possession. They can score, but they can’t stop you. The 45.6% three-point rate is also the second highest in the field, making them extremely boom-or-bust. In a tournament environment, if those threes are falling, Villanova can beat anybody. If they’re not, that defense gets exposed fast.

Kevin Willard’s system is built around pace control (69.1 possessions, very deliberate) and spacing. The Wildcats take nearly half their shots from three — they need those to fall. A potential upset of St. John’s in the semifinals is absolutely on the table if Villanova shoots well. At +650, this is the best risk/reward play in the tournament after UConn.

Value pick: Villanova +650. They have the offensive firepower. If the three-ball goes in, they go to the final.

#4 Seton Hall Pirates (14-1)

Seton Hall’s profile is interesting. A 1.031 OE isn’t flashy, but their 0.953 DE is the third-best mark in the field — only UConn and St. John’s are better. The Pirates play extremely slow (68.2 pace, lowest in the conference) and take only 27.0% of their shots from three. They are a grind-it-out, defensive-identity team. That formula can work in tournament play — especially early — but their lack of offensive punch (lowest OE among the top 4 seeds) makes a deep run unlikely against UConn or St. John’s. Solid first- and second-round team, nothing more.

Upset Alerts: Teams That Can Cause Problems

Creighton Bluejays (40-1) — The Most Dangerous Lower Seed

Here’s why Creighton is worth a look: they shoot 48.0% of their field goal attempts from three — the highest rate in the entire conference. St. John’s, their potential quarterfinal opponent, ranks near the bottom nationally in defending the three-point line. The regular season matchups didn’t go well for Creighton (they lost by a combined 46 points to the Red Storm), but in a single-elimination game at MSG, a hot shooting night from three can flip the script entirely.

Creighton also has tournament pedigree under Greg McDermott — they reached the Big East final last year. Their 1.077 OE is respectable, and despite a bloated 1.071 DE, they can live with allowing some points if they’re making threes at a high rate. The Bluejays are the clearest upset threat in the top half of the bracket.

Upset alert: Creighton over St. John’s in the quarterfinals.

Butler Bulldogs (100-1)

Butler’s stats are deceptively interesting. A 1.086 OE is better than Seton Hall, Creighton’s net margin, Marquette, and DePaul — meaning the Bulldogs can score. They play at a brisk 73.0 pace and take a moderate 35.3% of shots from three. The problem is a 1.059 DE — they can’t stop anyone — which puts a hard ceiling on how far they can go. A first-round upset is conceivable, but advancing deep is a stretch.

Providence Friars (80-1)

Providence has the most misleading profile in the field. Their 1.124 OE ranks third among all 11 teams — better than St. John’s — meaning they can absolutely put up points. The catch is a 1.104 DE, the worst in the field. They play the fastest pace of any team at 76.3 possessions per 40 minutes and shoot 40.9% from three. Providence is the type of team that beats you in a shootout or gets buried — there’s no in-between. If they catch a favorable matchup and shoot lights-out from three, they can shock a higher seed.

Matchup Previews: Key Games to Watch

First Round: #8 Butler vs. #9 Providence (4 PM ET, Peacock/NBCSN)

This is the most volatile game of the tournament — two teams that can score (Butler 1.086 OE, Providence 1.124 OE) who both have porous defenses (Butler 1.059, Providence 1.104). Providence’s pace (76.3) will push this game into the 160s on the total. Look for this one to go over easily. Butler’s slightly better defense gives them the edge, but back Providence as the live dog here given their offensive upside and pace advantage.

Pick: Providence. Bet the Over.

First Round: #7 Marquette vs. #10 Xavier (6:30 PM ET, Peacock/NBCSN)

Marquette’s -0.011 net efficiency margin is the only negative in the field, making them the weakest of the 11 teams statistically. Xavier (-0.018) is actually comparably poor. Neither team has a reliable edge. Marquette plays faster (72.9 vs. 73.6 — similar) and both teams shoot significant volumes from three (41.6% and 40.4%). This is a coin flip in a bad way. The lean here is the under — two bad offenses, neither shooting especially well — and a slight nod to Marquette on familiarity.

Pick: Marquette. Lean Under.

Quarterfinal Spotlight: #5 Creighton vs. #1 St. John’s

As covered above, this is the most interesting matchup in the tournament. St. John’s is a 33.9% three-point rate team (they don’t shoot threes, and they may not guard them well enough). Creighton goes to the three at a 48.0% clip. The Red Storm’s pace of 73.8 could open things up for Creighton’s transition threes. This game sets up as a style clash — St. John’s wants to pound the paint, Creighton wants to spread the floor and launch. If Creighton’s shooters get hot in the first half, this one’s in play.

Potential Semifinal: #2 UConn vs. #3 Villanova

This would be the game of the tournament. UConn’s elite defense (0.948 DE) against Villanova’s three-point-heavy offense (45.6% 3PT rate, 1.116 OE). The Huskies’ methodical pace (68.7) will clash with Villanova’s desire to space and attack. UConn will be favored — and for good reason — but Villanova’s offensive efficiency is genuinely elite and they’ve shown they can win close games. The Wildcats will need to hit 40%+ from three to have a real shot. If the threes fall, this game comes down to the wire.

Betting Trends Worth Knowing

Historical Big East tournament data offers some sharp angles heading into this year’s event. Big East semifinal underdogs have gone 15-5 ATS (75%) since 2015 — making any dog in the final four worth consideration on the spread. Big East quarterfinal double-digit favorites have gone 13-3 ATS (81.3%) since 2006, so laying big numbers against the weaker seeds is historically profitable. The last 9 Big East first-round games have all gone Under the total (100%), which is a notable trend for the early games on Wednesday. Finally, 12 of the last 15 Big East championship games have gone Under (80%) — fade the total in Sunday’s final.

Final Predictions

First Round: Providence over Butler | Marquette over Xavier

Quarterfinals: St. John’s over Creighton | UConn over DePaul | Villanova over Marquette | Seton Hall over Providence

Semifinals: UConn over Seton Hall | Villanova over St. John’s

Championship: UConn over Villanova

Summary of Bets

Best Bet — UConn +100 to win the tournament. Elite defense, controlled pace, best net efficiency in the field. Near-even money is undervaluing them.

Value Play — Villanova +650. Second-best OE in the field at 1.116, plus shooting capability to beat anyone on a hot night.

Upset Alert — Creighton over St. John’s.** Three-point style matchup favors the Bluejays. Live dog in the quarterfinals.

Trend Play — Under in the Championship Game. 12 of the last 15 Big East title games have gone under. UConn’s defensive pace will suppress scoring on both sides.

Trend Play — Providence +First Round Over. The fastest-paced team (76.3) against a Butler team with a leaky defense. Points will come in bunches.

The Format: A Monster Event

With all 18 teams participating, the tournament begins Tuesday with a pair of play-in games, followed by more first-round action Wednesday before the bracket really starts to take shape Thursday through Sunday. The top four seeds — Michigan, Nebraska, Michigan State, and Illinois — all receive byes deep into the bracket, while the bottom of the field faces a brutal gauntlet. Two teams will already be eliminated by the time the top seeds even lace up their sneakers Friday morning.

The Bracket at a Glance

Here’s how the seedings shake out heading into the tournament:

• #1 Michigan (29-2, 19-1 B1G) — Top seed and clear favorite
• #2 Nebraska (26-5, 15-5) — Started 20-0 before fading slightly down the stretch
• #3 Michigan State (25-6, 15-5) — Perennial contender with a deep, experienced roster
• #4 Illinois (24-7, 15-5) — Talented squad led by Freshman of the Year Keaton Wegler
• #5 Wisconsin (22-9, 14-6) — The most dangerous dark horse in the field
• #6 UCLA (21-10, 13-7) — Quietly dangerous in the bottom half of the bracket
• #7 Purdue (23-8, 13-7) — Seeking a deep run with Braden Smith chasing an all-time assists record
• #8 Ohio State (20-11, 12-8) — Playing well heading into tournament week
• #9 Iowa (20-11, 10-10) — Solidly in the NCAA Tournament picture, can’t afford a first-round stumble
• #10 Indiana (18-13, 9-11) — Playing for NCAA Tournament survival

Tournament Odds

The oddsmakers agree with the seeding. Michigan is the clear-cut favorite at -105 to win the tournament, making them roughly a coin flip. Here’s how the full odds board looks (via FanDuel):

• Michigan: -105
• Illinois: +460
• Purdue: +600
• Michigan State: +650
• Nebraska: +1000
• Wisconsin: +3000
• UCLA: +3500
• Iowa: +5000
• Ohio State: +7500
• Indiana: +10000

The Favorite: Michigan (-105)

There’s a reason Michigan is priced like a near-lock. The Wolverines finished Big Ten play at 19-1, their only conference loss coming to Wisconsin when the Badgers caught fire from three-point range. Beyond the record, it’s how Michigan won that stands out. They beat Michigan State twice by a combined 22 points, handled Illinois by 14, and defeated Purdue by 11. When they faced the best, they rose to the occasion every single time.

Michigan’s one legitimate weakness is ball security. The Wolverines can be turnover-prone, and the loss of backup point guard L.J. Cason for the season adds some concern. However, Big Ten teams don’t pressure the ball the way SEC and Big 12 squads do — a factor that benefits Michigan greatly in this setting. Expect the Wolverines to cruise through the early rounds and reach Sunday’s championship game with relative ease.

Prediction: Michigan wins the tournament.

The Contenders

Illinois (+460)

Illinois is the most talented team capable of beating Michigan in a single game. Freshman of the Year Keaton Wegler is as good as advertised, and the Illini have the athletes to match up with anyone. The issue? Illinois has been a little brittle under pressure, dropping three overtime games since February 7th. They have the talent to win it all, but they also have the profile of a team that can crash out in the second round. A potential semifinal matchup against Michigan, where the Wolverines beat them by 14 in the regular season, is a tough ask. Illinois at +460 is fair value for the risk involved.

Purdue (+600)

Purdue has been on a roller coaster but enters the tournament with genuine momentum and a favorable draw. The Boilermakers landed a quarterfinal matchup against Nebraska — a team they beat in overtime in Lincoln with a dominant 37-minute performance. Point guard Braden Smith is chasing history, closing in on the all-time assists record, and will need several more postseason games to get there. That personal milestone adds extra motivation. If Purdue can avoid another late-game collapse and beat Michigan State in a potential semifinal rematch, a title game appearance is well within reach.

Dark horse pick: Purdue at +600.

Michigan State (+650)

The Spartans are always dangerous in a tournament format. Michigan State went 15-5 in conference play, won five straight games heading into the final week, and is battle-tested. Their one concern is a physical style that some officials let slide and others don’t. In a neutral-site tournament setting, that can be an issue. Still, +650 on a team this experienced and well-coached is solid value if you believe they can upset Michigan in a potential semifinal matchup.

The Best Value Play: Wisconsin (+3000)

If you’re looking for a longshot worth backing, Wisconsin stands out above the rest of the field. The Badgers are the only team to beat Michigan in Big Ten play this season, pulling off a road win in Ann Arbor. They also have road victories over Illinois and Purdue, proving they can win anywhere. Wisconsin plays at a fast pace, shoots a high volume of threes, and is led by dynamic scorers Nick Boyd and John Blackwell. When those threes are falling, this team can beat anybody.

The downside is a tough draw — Wisconsin will likely need to beat Illinois and then Michigan to reach the final. Their defense also ranks just 11th in the conference, and they can be bullied inside by bigger teams. But at +3000, you’re getting massive upside on a team with a proven track record against the field’s best teams. A small bet on Wisconsin as your tournament longshot is the best value on the board.

Team to Avoid: Nebraska (+1000)

Nebraska is the #2 seed and enters with legitimate expectations, but the Cornhuskers are slightly overvalued at +1000. After a stunning 20-0 start, Nebraska went just 6-5 down the stretch, with losses to Michigan, Illinois, and Purdue — the three teams most likely to stand between them and a championship. The path to the title from the bottom half of the bracket runs through Purdue and Michigan State, both of which match up well against Nebraska. For the price, UCLA at a longer number is a better play in that half of the bracket, especially after the Bruins routed Nebraska by 20 in the regular season.

Early Round Games to Watch

While most eyes will be on the top seeds when they enter Friday, a few Wednesday matchups deserve attention. Indiana vs. Northwestern (6:30pm, BTN) could determine whether the Hoosiers stay alive for an NCAA Tournament bid. Ohio State vs. Iowa (Thursday noon, BTN) is a quality game between two teams that should both be in the NCAA field — it’s the kind of matchup that would be a headliner in any other conference tournament. And keep an eye on Wisconsin vs. Washington (Thursday 2:30pm, BTN), where the Badgers look to continue their march toward a potential championship run.

Final Predictions

Quarterfinals: Michigan over Ohio State | Wisconsin over Washington | Purdue over Nebraska | Michigan State over UCLA

Semifinals: Michigan over Wisconsin | Purdue over Michigan State

Championship: Michigan over Purdue

Tournament MVP: Michigan’s backcourt leads the way as the Wolverines claim the Big Ten title and lock up a 1-seed in the NCAA Tournament.

Best bet: Michigan -105 to win the tournament. At near-even money for a team this dominant, it’s a rare case where the chalk is genuinely worth playing.

Value play: Wisconsin +3000. If their three-point shooting gets hot, the Badgers have shown they can beat everyone in their path.

Here’s your complete preview of the 2026 Phillips 66 Big 12 Tournament, including score predictions for every round, upset alerts, bracket projections, and a projected champion.

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The Big Picture: The Title Contenders

Arizona (1 seed) topped the Big 12 regular season and enters with the most well-rounded profile in the field. Their Offensive Efficiency (1.177) trails only Iowa State in the conference, but what truly separates the Wildcats is their elite defense — a 0.928 DE that is second-best in the entire field only to Houston. Arizona plays at a fast pace (73.6 possessions per game) and has the lowest three-point rate in the tournament at 26.9%, meaning they attack the basket relentlessly. The Wildcats’ two conference losses came against Kansas and Texas Tech, which means those two teams have already shown they can slow Arizona down. But on a neutral floor in Kansas City, Arizona is the most complete team in the field.

Houston (2 seed) is built like a wrecking ball. Their defensive efficiency (0.925) is the best in the entire field — better even than Arizona — and they combine it with strong offensive production (1.151 OE). Houston plays the slowest pace of any contender (67.4 possessions per game), which is a deliberate, suffocating style. They have a 41.6% three-point rate, giving them outside shooting to complement their interior dominance. Kelvin Sampson’s Cougars are the team with the best claim to the “best defense wins championships” narrative.

Iowa State (5 seed) — despite the seemingly low seed — is ranked No. 6 nationally and has the highest offensive efficiency in the tournament (1.170). The Cyclones play at a controlled pace (69.8) and have a balanced three-point rate of 38.7%. Their defensive efficiency (0.943) is third-best in the field. They drew the No. 5 seed due to a tougher schedule and some close losses, but Iowa State is a legitimate championship contender.

Kansas (3 seed) is carried by Darryn Peterson, one of the most explosive individual players in the country. Peterson can take over tournament games in ways that pure efficiency metrics don’t fully capture. Kansas plays a deliberate pace (70.3) and has a 35.7% three-point rate, suggesting a balanced but not three-happy offense. Their 0.978 DE is respectable. The Jayhawks tend to be a team that gets better as tournaments progress — and Peterson is an X-factor who can make or break entire bracket runs.

Texas Tech (4 seed) is the most intriguing team in the field. Their OE of 1.164 is third overall, and they shoot a remarkable 47.9% of field goal attempts from three — the highest rate in the tournament. Texas Tech literally beat Arizona in the regular season, giving them the proof of concept that they can knock off the top seed. The concern? Their DE of 1.032 suggests they surrender points at a worrying rate, which could catch up with them in a multi-game tournament setting.

Team Stats at a Glance

OE = Offensive Efficiency | DE = Defensive Efficiency | Pace = possessions per game | 3PT Rate = percentage of field goal attempts that are 3-pointers

First Round Predictions — Tuesday, March 10

Game 1: No. 12 Arizona State vs. No. 13 Baylor — 11:30 a.m. CT (ESPN+)

This is the best first-round game in the field. Baylor (1.126 OE, 1.084 DE) has significantly better offensive efficiency than Arizona State (1.069 OE, 1.069 DE), and the Bears have a more balanced defensive profile. Arizona State’s DE of 1.069 means they give up points freely, and Baylor’s offense is good enough to exploit that. Baylor’s 39.2% three-point rate allows spacing while their superior offensive efficiency should carry the day.

Upset Alert: Baylor is actually the better team statistically despite being the lower seed — this is a bracket placement quirk more than a true mismatch.

Prediction: Baylor 74, Arizona State 67

Game 2: No. 9 Cincinnati vs. No. 16 Utah — 3 p.m. CT (ESPN+)

Cincinnati (1.038 OE, 0.951 DE) is one of the most fascinating teams in this tournament. Their offense is the weakest among all 16 teams, but their defense (0.951 DE) is one of the best — third overall in the field. They’re a grind-and-defend team that gives up very few points. Utah (1.058 OE, 1.114 DE) has the worst defensive efficiency in the tournament by a significant margin, which makes this a favorable matchup for Cincinnati. The Bearcats need multiple wins to reach the NCAA Tournament bubble, and this should be the easiest game they get.

Prediction: Cincinnati 62, Utah 54

Game 3: No. 10 BYU vs. No. 15 Kansas State — 6 p.m. CT (ESPN+)

BYU enters this tournament with significant injury concerns after Richie Saunders tore his ACL in February. However, the Cougars still have A.J. Dybantsa, who is one of the top freshmen in the country — a player capable of single-handedly carrying a team through a tournament. BYU’s 1.153 OE is genuinely elite (fourth-best in the field), and despite a defensive slide (1.035 DE) without Saunders, their offensive firepower should be enough against Kansas State (1.050 OE, 1.068 DE), who struggles on both ends. BYU plays fast (73.2 pace) and Dybantsa thrives in open-floor situations.

Prediction: BYU 78, Kansas State 67

Game 4: No. 11 Colorado vs. No. 14 Oklahoma State — 8:30 p.m. CT (ESPN+)

Colorado (1.107 OE, 1.091 DE) edges Oklahoma State (1.090 OE, 1.068 DE) in offensive efficiency, while Oklahoma State has a slightly better defensive number. What stands out is Oklahoma State’s pace — a blistering 77.2 possessions per game, the fastest in the tournament. In a fast-paced shootout, Colorado’s marginally better offense should win out. Both teams have defensive issues, making this the most likely high-scoring game of the first round.

Prediction: Colorado 82, Oklahoma State 79

Second Round Predictions — Wednesday, March 11

Game 5: No. 5 Iowa State vs. Baylor — 11:30 a.m. CT

Iowa State is a legitimate Top 10 team playing a No. 5 seed due to the Big 12’s brutal schedule. Against Baylor (1.126 OE), the Cyclones’ superb defense (0.943 DE) should be the difference. Iowa State is simply more efficient on both ends — their 1.170 OE vs. Baylor’s 1.126, and their 0.943 DE vs. Baylor’s 1.084 — the gaps are significant. The Cyclones should handle business without too much drama, but Baylor won’t go quietly.

Prediction: Iowa State 75, Baylor 65

Game 6: No. 8 UCF vs. Cincinnati — 2 p.m. CT

UCF has solid offensive efficiency (1.131) but their defense is the second worst in the tournament (1.085 DE), making them vulnerable to any team that can score. Cincinnati’s defensive identity (0.951 DE) will slow UCF down, but the Bearcats’ anemic offense (1.038 OE) might not score enough to pull away. This is a clash of styles — UCF’s offense vs. Cincinnati’s defense. UCF’s offensive advantage should be the deciding factor.

Upset Alert: Cincinnati over UCF — the Bearcats’ superior defense can hold UCF’s offense below their season average and grind out a low-scoring win.

Prediction: Cincinnati 61, UCF 58

Game 7: No. 7 West Virginia vs. BYU — 6 p.m. CT

West Virginia (1.053 OE, 0.975 DE) is a team that relies heavily on defense and low-tempo basketball (66.3 pace — slowest in the entire tournament). BYU (1.153 OE, 1.035 DE) plays at one of the faster paces in the field (73.2) and has much better offensive efficiency. The matchup is a battle of WVU’s defense against BYU’s Dybantsa-led offense. WVU will try to slow the game to a crawl, but Dybantsa’s individual brilliance can generate buckets even in difficult half-court environments.

Prediction: BYU 68, West Virginia 60

Game 8: No. 6 TCU vs. Colorado — 8:30 p.m. CT

TCU (1.080 OE, 0.990 DE) is the more well-rounded team here, with a defensive efficiency just under break-even. Colorado’s defensive issues (1.091 DE) are a real concern against an efficient TCU offense. TCU plays at a comfortable 72.3 pace and has a balanced 36.9% three-point rate. This should be a comfortable TCU victory.

Prediction: TCU 73, Colorado 63

Quarterfinals — Thursday, March 12

Game 9: No. 4 Texas Tech vs. Iowa State — 11:30 a.m. CT

This is the most interesting quarterfinal matchup. Texas Tech (1.164 OE, 1.032 DE, 47.9% 3PT rate) proved they can beat anyone in the conference — including Arizona. They’re an offensive powerhouse. But Iowa State’s defense (0.943 DE) is built to handle high-powered offenses, and the Cyclones’ own offense (1.170 OE) is similarly elite. This game comes down to whether Texas Tech’s three-point shooting (nearly half of all their attempts) runs hot or cold. When it runs cold, their defense isn’t good enough to compensate. Iowa State is the pick, but by a slim margin.

Upset Alert: Texas Tech over Iowa State if the threes are falling — this is the single most likely big upset of the quarterfinals.

Prediction: Iowa State 71, Texas Tech 68

Game 10: No. 1 Arizona vs. Cincinnati — 2 p.m. CT

Arizona faces the tournament’s most defensive-minded team, but Cincinnati’s offense (1.038 OE) simply isn’t capable of keeping pace with the Wildcats’ balanced attack. Arizona’s 26.9% three-point rate means they attack the rim constantly — Cincinnati’s defense is good but not built to stop elite interior scoring. Arizona should pull away in the second half as Cincinnati’s offense runs out of answers.

Prediction: Arizona 76, Cincinnati 58

Game 11: No. 2 Houston vs. BYU — 6 p.m. CT

If BYU reaches the quarterfinals, it’s because Dybantsa has been playing at an elite level. But Houston’s defense (0.925 DE — best in the tournament) is a different animal entirely. The Cougars’ slow, methodical pace (67.4) will be jarring for a BYU team that wants to run (73.2 pace). Houston will control tempo, limit transition opportunities, and grind BYU into submission. Dybantsa is electric, but tournament-tested Houston defense wins this one.

Prediction: Houston 64, BYU 55

Game 12: No. 3 Kansas vs. TCU — 8:30 p.m. CT

Darryn Peterson is the reason Kansas can go deep in this tournament. Kansas (1.075 OE, 0.978 DE) doesn’t have the efficiency numbers of the top two seeds, but Peterson’s ability to create in late-game situations separates the Jayhawks from the pack. TCU (1.080 OE, 0.990 DE) is actually comparable to Kansas on both ends, making this closer than the seeding suggests. Peterson’s star quality is the tiebreaker.

Prediction: Kansas 70, TCU 65

Semifinals — Friday, March 13

Game 13: Iowa State vs. Arizona — 6 p.m. CT

The marquee semifinal. Arizona’s best statistical attribute — elite defense and interior offense — runs directly into Iowa State’s best attribute — elite defense and interior offense. The Wildcats’ 1.177 OE edges Iowa State’s 1.170 OE, and Arizona’s 0.928 DE edges Iowa State’s 0.943 DE. The Wildcats are marginally better on both ends and have the faster pace (73.6 vs. 69.8), which suits their style. But Iowa State is not outmatched here — this is a genuine toss-up that will likely come down to a few possessions at the end.

Arizona won the regular-season head-to-head, and on a neutral floor, that edge holds.

Prediction: Arizona 68, Iowa State 63

Game 14: Houston vs. Kansas — 8:30 p.m. CT

This is the semifinal the Big 12 has been building toward all season. Houston’s elite defense (0.925 DE) vs. Darryn Peterson’s ability to create shots against any defense. The Cougars will slow this game to a crawl — their 67.4 pace against Kansas’s 70.3 — and try to eliminate Kansas’s transition opportunities. Peterson is the kind of player who can overcome a defensive scheme with pure individual brilliance, and the Jayhawks have shown they can beat elite teams all season.

Houston’s defensive efficiency edge is significant, but this game will be closer than most expect. Kansas steals the semifinal in a tight one.

Upset Alert: Kansas over Houston

Prediction: Kansas 66, Houston 62

Championship Game — Saturday, March 14 (5 p.m. CT)

Arizona vs. Kansas

The Big 12 Championship final we might have drawn up at the start of the season. Arizona is the more efficient team on both ends — their 1.177 OE vs. Kansas’s 1.075 OE is a significant gap, and their 0.928 DE vs. Kansas’s 0.978 DE gives them another edge. Arizona plays faster, attacks the rim more, and doesn’t rely on three-point shooting that can go cold in big moments.

The counterargument: Kansas beat Arizona during the regular season. Darryn Peterson has been building toward a signature moment. And in a championship game, individual star power can neutralize efficiency advantages.

But Arizona’s combination of elite offense and elite defense — the best pairing of both in the tournament — is the profile of a champion. The Wildcats win the Big 12 Tournament for the first time since joining the conference, but only after surviving a genuine scare from Darryn Peterson and the Jayhawks.

🏆 Prediction: Arizona 73, Kansas 66 — Arizona wins the 2026 Phillips 66 Big 12 Tournament

Upset Watch Summary

The upset scenarios to watch throughout the week: Baylor over Arizona State is more of a bracket correction than a true upset, given the Bears’ superior efficiency numbers. The biggest potential chaos agent is Texas Tech, whose explosive three-point offense (47.9% of all shot attempts from three) can beat anyone when hot — keep a close eye on their quarterfinal against Iowa State. BYU’s Dybantsa presents another wildcard, as a transcendent individual performance could carry the Cougars past West Virginia and potentially deeper. And in the semifinals, Kansas over Houston is the most significant true upset pick — Peterson is the X-factor who can topple the Cougars’ suffocating defense.

Final Bracket Projection

Champion: Arizona
Runner-Up: Kansas
Semifinalists: Iowa State, Houston
Quarterfinalists: Texas Tech, Cincinnati, BYU, TCU
Best Upset Pick: Kansas over Houston (Semifinal)
Dark Horse: BYU — A.J. Dybantsa can go for 30+ any night
Bubble Watch: Cincinnati (needs multiple wins to lock up an NCAA Tournament bid)

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The Big Picture: Who’s In Charge

Duke (1 seed) is the class of the ACC and it isn’t particularly close on paper. The Blue Devils finished the regular season as the nation’s top-ranked team and are led by freshman Cameron Boozer, who is putting together one of the most statistically dominant freshman seasons in the history of college basketball. Boozer is averaging 22.7 points, 10.2 rebounds and 4.0 assists per game while shooting 58% from the field — analytics outlets have called it the best college season in over 30 years. Duke’s efficiency numbers back that up: an Offensive Efficiency (OE) of 1.205 leads the entire field by a wide margin, and their Defensive Efficiency (DE) of 0.906 is equally elite.

The only wrinkle heading into Charlotte: Duke has some injury concerns. Guard Caleb Foster was seen in a boot after Saturday’s win over UNC, and forward Patrick Ngongba sat out entirely. If those two are limited or unavailable, Duke’s depth is tested — though the Blue Devils still handled UNC by 15 even without Ngongba.

Virginia (2 seed) is the most interesting challenger. The Cavaliers finished 25-3 overall and went an impressive 15-2 after the calendar flipped to 2026, a remarkable run considering they entered the year with 11 new players. Under Tony Bennett’s deliberate, Pack-Line system, Virginia’s DE of 0.975 is among the best in the field. They play at a pace of 69.9 possessions per game — very slow, very controlled — and love to stretch defenses with a 46.8% three-point rate. Virginia lost to Duke by 26 at Cameron Indoor on Feb. 28, but neutral-site tournament basketball is a different animal, and the Cavaliers have shown they can make any game ugly enough to steal.

Miami (3 seed) enters at 1.153 OE and plays at a moderate 71.5 pace. The Hurricanes are a dangerous team but their DE of 0.979 puts them right on the edge — good enough to beat most teams in this field, but potentially exploitable against elite offenses. Their 31.8% three-point rate is the lowest in the tournament, meaning Miami relies heavily on interior and mid-range scoring.

North Carolina (4 seed) is navigating this tournament without star Caleb Wilson, who is nursing an injury. The Tar Heels’ 1.133 OE and 42.0% 3PT rate give them offensive tools, but their DE of 0.999 — essentially break-even — is a concern if they get into a shootout. They’ll need to get right quickly in Charlotte.

Team Stats at a Glance

OE = Offensive Efficiency | DE = Defensive Efficiency | Pace = possessions per game | 3PT Rate = percentage of field goal attempts that are 3-pointers

First Round Predictions — Tuesday, March 10

Game 1: No. 10 Stanford vs. No. 15 Pittsburgh — 2 p.m. (ACC Network)

Stanford holds a meaningful edge in every efficiency category. The Cardinal have a 1.089 OE to Pittsburgh’s 1.052, and Stanford’s DE of 1.039 is considerably better than Pitt’s 1.070. Pittsburgh plays at the slowest pace in the field (66.7), which could keep the game close by limiting possessions, but Stanford is the better team top to bottom.

The NCAA Tournament implications here are real: Stanford is projected as part of the “Next Four Out” in current bracketology projections, meaning they need to make a deep run in Charlotte. Expect a motivated Cardinal squad.

Prediction: Stanford 68, Pittsburgh 58

Game 2: No. 11 SMU vs. No. 14 Syracuse — 4:30 p.m. (ACC Network)

This is the most interesting game of the first round from a bubble perspective. SMU sits on the “Last Four In” line for the NCAA Tournament, meaning a loss here could end their season. The Mustangs have solid offensive efficiency (1.155) but their defense (1.056 DE) has been a weakness all year. Syracuse has the lowest offensive efficiency in the field (1.059) and plays a slower, deliberate style at 71.2 pace. SMU’s up-tempo 73.8 pace should create advantages and keep them from getting dragged into a grind.

Upset Alert: Don’t count Syracuse out entirely — their 2-3 zone has historically given SMU trouble in ACC play — but the Mustangs’ NCAA Tournament desperation tips this one their way.

Prediction: SMU 72, Syracuse 63

Game 3: No. 12 Virginia Tech vs. No. 13 Wake Forest — 7 p.m. (ACC Network)

Two teams on the wrong side of the bubble square off in what should be a competitive game. Virginia Tech (1.104 OE, 1.041 DE) edges Wake Forest (1.096 OE, 1.071 DE) in every efficiency category, and the Hokies play with more defensive discipline. Virginia Tech is on the “Last Four Out” bubble line according to ESPN’s Joe Lunardi, so this game has major NCAA Tournament seeding implications. Wake Forest’s 43.9% three-point rate means they live and die by the three — in a big game environment, that’s risky.

Prediction: Virginia Tech 71, Wake Forest 65

Second Round Predictions — Wednesday, March 11

Game 4: No. 7 NC State vs. Stanford/Pitt Winner — Noon

NC State presents an interesting profile: they have solid offensive efficiency (1.163) but their defense (1.054 DE) is a problem — one of the worst in the field. If Stanford advances, they’ll have a real shot at an upset. Stanford is the superior defensive team, and in a noon game on a neutral floor, NC State’s defensive liabilities could be exposed.

Upset Alert: Stanford over NC State. The Cardinal’s balanced profile beats NC State’s one-sided game.

Prediction: Stanford 74, NC State 70

Game 5: No. 6 Louisville vs. SMU/Syracuse Winner — 2:20 p.m.

Louisville is one of the most fascinating teams in this field. Their 1.174 OE is second only to Duke and Virginia, and they shoot an astonishing 53.2% of their field goal attempts from three — the highest rate in the tournament. That makes them incredibly boom-or-bust. When the shots fall, Louisville can beat anyone. When they don’t, they struggle. Against an SMU team whose defense gives up points freely, Louisville’s offensive firepower should shine.

Prediction: Louisville 80, SMU 73

Game 6: No. 8 Florida State vs. No. 9 California — 7 p.m.

The most evenly matched game of the second round. Both Florida State (1.082 OE, 1.054 DE) and California (1.070 OE, 1.004 DE) have defensive deficiencies, but Cal actually has the better defensive number. Florida State’s 50.7% three-point rate is extremely high — they are nearly as three-reliant as Louisville — which makes them volatile. Cal is the safer pick based on their slightly better defensive discipline.

Upset Alert: Cal over Florida State.

Prediction: California 69, Florida State 65

Game 7: No. 5 Clemson vs. Virginia Tech/Wake Forest Winner — 9:30 p.m.

Clemson is a well-balanced team: 1.104 OE, 0.979 DE, 67.4 pace. Their defense is legitimately good — one of the better defensive teams outside the top four seeds. Virginia Tech, if they advance, would be the most dangerous opponent here, but Clemson should have enough to advance comfortably.

Prediction: Clemson 73, Virginia Tech 66

Quarterfinals (Round of 8) — Thursday, March 12

Game 8: No. 2 Virginia vs. Stanford — Noon

If Stanford pulls off back-to-back upsets, they’d face Virginia in the quarters. This is where the Cardinal’s run would likely end. Virginia’s Pack-Line defense is the perfect antidote to Stanford’s offensive style, and UVA’s 46.8% three-point rate means they can stretch defenses themselves. Virginia is the more complete team and grinds teams into dust.

Prediction: Virginia 63, Stanford 54

Game 9: No. 3 Miami vs. Louisville — 2:30 p.m.

This is the game of the quarterfinals. Louisville’s 1.174 OE vs. Miami’s 1.153 OE — two elite offenses going head to head. Miami’s 31.8% three-point rate is the lowest in the field, meaning they won’t get into a three-point shooting contest with Louisville (53.2% rate). Miami will try to play a physical, interior-focused game, and their defense (0.979 DE) is better than Louisville’s (0.986 DE). This one is a coin flip, but Miami’s more balanced approach and deeper postseason experience gives them a narrow edge.

Prediction: Miami 77, Louisville 74

Game 10: No. 1 Duke vs. California — 7 p.m.

Cal would need to be playing the basketball of their lives to knock off Duke, and even then it might not be enough. Duke’s offensive efficiency gap over California (1.205 vs. 1.070) is enormous, and Boozer alone is a matchup nightmare. Cal is on the “Next Four Out” bubble and would need this upset to make the NCAA Tournament — they’ll be motivated, but Duke is simply on a different level.

Prediction: Duke 82, California 61

Game 11: No. 4 UNC vs. Clemson — 9:30 p.m.

North Carolina without Caleb Wilson against a Clemson team with legitimate defensive chops is a very different proposition than the regular-season Tar Heels. UNC’s OE drops meaningfully without their star, and Clemson’s 0.979 DE is built to take advantage of offensive limitations. This could be the most significant upset of the quarterfinals.

Upset Alert: Clemson over UNC.

Prediction: Clemson 68, North Carolina 64

Semifinals — Friday, March 13

Game 12: Virginia vs. Miami — 7 p.m.

A classic chess match. Virginia’s slow pace (69.9) will frustrate Miami’s transition game, and UVA’s Pack-Line defense is the ideal style to neutralize Miami’s interior-heavy attack. Virginia has gone 15-2 since January and is playing its best basketball of the season. Their 46.8% three-point rate allows them to space the floor and create — and against Miami’s 31.8% rate on the other end, Virginia owns the edge from distance.

Prediction: Virginia 61, Miami 55

Game 13: Duke vs. Clemson — 9:30 p.m.

Clemson would be riding high after a potential upset of UNC, but Duke is just on a different planet offensively. Cameron Boozer doesn’t care about the moment — he’s been doing this all season. Even with the injury concerns around Foster and Ngongba, Duke’s depth and Boozer’s brilliance are too much for Clemson’s defense to contain.

Prediction: Duke 79, Clemson 61

Championship Game — Saturday, March 14 (8:30 p.m.)

Duke vs. Virginia

The ACC Tournament final almost everyone expected heading into the week. Duke beat Virginia by 26 at Cameron Indoor on February 28, but the Cavaliers weren’t intimidated — they kept grinding and finished the regular season strong. On a neutral floor in Charlotte, this is a different game.

Virginia will try to do what no team has managed all season: slow Duke down to a crawl, take Boozer off rhythm with physicality and help defense, and make every possession a grind. Their 0.975 DE is formidable, and Tony Bennett’s schemes are specifically designed to neutralize high-usage big men.

The problem for Virginia? Duke’s defensive efficiency (0.906) is simply historic. Virginia’s deliberately paced offense (69.9 pace) may struggle to generate enough quality looks against a Duke defense that forces turnovers and contested shots at an elite rate.

Ultimately, Cameron Boozer is the difference. He’s been too consistent all season — the analytics say it’s a historically great freshman season, and the tournament stage won’t change that. Duke cuts down the nets for their third ACC Tournament title in four years.

🏆 Prediction: Duke 72, Virginia 58 — Duke wins the 2026 ACC Tournament

Upset Watch Summary

Keep a close eye on these potential bracket busters as the tournament unfolds: Stanford over NC State in the second round is the most likely early upset, driven by NC State’s defensive vulnerabilities. Cal over Florida State is another realistic pick based on Cal’s defensive discipline against a volatile, three-point-heavy Seminoles squad. And Clemson over UNC in the quarterfinals is perhaps the most consequential potential upset — if UNC can’t replace Caleb Wilson’s production, Clemson’s defense could send the Tar Heels home early.

Final Bracket Projection

Champion: Duke
Runner-Up: Virginia
Semifinalists: Miami, Clemson
Quarterfinalists: Stanford, Louisville, California, North Carolina
Best Upset Pick: Stanford over NC State (Second Round)