Who will win Cornell vs Syracuse?
The model gives Syracuse a 98% chance to beat Cornell, with a projected score of Syracuse 91, Cornell 68.
Half of games like thisFour in five
Calls of 90–100% have been right 95.4% of the time in 11,767 past games, and the typical miss on the margin is 8.8 points. After the final, the result is pinned to this strip. As of 2:23 AM ET on November 13, 2026. Updated three times a day until tip-off.
Players to watch
| Player | Pts | Reb | Ast | Last games | Chance of |
|---|---|---|---|---|---|
 Syracuse | |||||
| DotyG · 28 min | 14.5 | 7.2 | 2.3 | 15+ 46% | |
| AnthonyG · 22 min | 14.1 | 2.2 | 2.0 | 15+ 44% | |
| White Jr.F · 25 min | 12.2 | 6.9 | 0.7 | 10+ 64% | |
| WilsonC · 24 min | 11.3 | 6.6 | 0.6 | 10+ 57% | |
 Cornell | |||||
| BecclesG · 21 min | 8.2 | 1.9 | 1.8 | 10+ 35% | |
| GibsonF · 22 min | 8.0 | 5.3 | 1.3 | 10+ 33% | |
| RafiqG · 21 min | 7.1 | 1.6 | 1.5 | 5+ 66% | |
| NimaniG · 24 min | 6.7 | 1.7 | 1.9 | 5+ 62% | |
Bars: points in the player's latest games this season. Blue line: tonight's projection. Every regular's line
The game without one player
Without Gavin Doty: Cornell 4%Syracuse 96%
The white mark is the call with him: Syracuse 98%.
| Player | Points a game he adds | Syracuse without him | Change | Projected score |
|---|---|---|---|---|
| Syracuse | ||||
| Gavin Doty | 3.2 | 96% | −2 | 70–89 |
| Garwey Dual | 2.6 | 96% | −2 | 70–89 |
| Luke Wilson | 2.5 | 96% | −2 | 70–90 |
| Sadiq White Jr. | 2.5 | 96% | −2 | 70–90 |
Change is in Syracuse's win chance, in points. Scores read Cornell, then Syracuse. A player's value is what the team is better by with him than with a replacement, from the player ratings.
Model against the line
Your call
All of today's gamesPlay-by-play
Team numbers
Form
Cornell 2-2WLWL
- Nov 11L 64-88at St BonaventureDidn't cover +7.5 · Under 157.5
- Nov 8W 99-59vs Keuka
- Nov 5L 64-71at LehighDidn't cover −1.5 · Under 159.5
- Nov 2W 86-85vs Pepperdine
- Last 4
- 2–2, scoring 78.2 and allowing 75.8
- Against the spread, this season
- 0–2
- Totals, this season
- 0 over, 2 under
The spread and the total are the lines logged with each prediction. Form is what happened; the ratings above already count recent games more.
Offense against defense
| Cornell | Syracuse | |
|---|---|---|
| Points scored per 100 possessions | 104.5 172nd | 116.2 35th |
| Points allowed per 100 | 113.0 311th | 100.7 68th |
| Possessions a game | 72.3 49th | 70.4 222nd |
| Shooting (effective field-goal %) | 51.1% 138th | 53.1% 34th |
| Opponents' shooting | 49.6% 119th | 49.1% 72nd |
| Turnovers, share of possessions | 17.9% 159th | 16.4% 23rd |
| Offensive rebounds, share of misses | 29.6% 299th | 31.4% 206th |
| Free throws per shot | 0.20 363rd | 0.28 76th |
The widest gap: Syracuse's offense (35th) against Cornell's defense (311th), of 365 teams.
First half
- Projected halftime score
- Cornell 31, Syracuse 43
- First-half margin
- Syracuse by 12.3
- First-half points, both teams
- 74.7
- Projected second half
- Cornell 37, Syracuse 47
- Second-half points, both teams
- 84.6
- Tied at the half
- 4%
- Cornell, first halves so far
- Led 2 of 4 · 38.8 scored, 39.5 allowed
- Syracuse, first halves so far
- Led 3 of 3 · 41.3 scored, 24.7 allowed
Our own projection, not a sportsbook's first-half line. On 11,516 past games it had not seen, the halftime leader was right 67.2% of the time and the first-half total was off by 8.1 points on average. This season: 366 of 476 halftime leaders right. Scorecard
Player projections
Cornell
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Anthony NimaniG | 24 | 6.7 | 1.7 | 1.9 | 0.7 |
| 5+ pts 62% · 2+ reb 47% · 1+ threes 48% | |||||
| Quinn GibsonF | 22 | 8.0 | 5.3 | 1.3 | 0.3 |
| 10+ pts 33% · 5+ reb 57% · 2+ ast 35% | |||||
| Jacob BecclesG | 21 | 8.2 | 1.9 | 1.8 | 1.0 |
| 10+ pts 35% · 2+ reb 52% · 2+ ast 51% | |||||
| Mateen RafiqG | 21 | 7.1 | 1.6 | 1.5 | 1.6 |
| 5+ pts 66% · 2+ reb 43% · 2+ threes 44% | |||||
| Kaspar SeppF | 18 | 4.9 | 4.0 | 2.1 | 0.5 |
| 5+ pts 45% · 4+ reb 53% · 2+ ast 57% | |||||
| Mikehi WilliamsF | 17 | 4.8 | 3.2 | 0.5 | 0.4 |
| 5+ pts 44% · 3+ reb 56% · 1+ threes 32% | |||||
| Ryan BurbachG | 15 | 3.5 | 1.9 | 0.4 | 0.8 |
| 5+ pts 30% · 2+ reb 52% · 1+ threes 52% | |||||
| Jax AbalosF | 13 | 4.8 | 1.3 | 0.3 | 0.8 |
| 5+ pts 44% · 2+ reb 36% · 1+ threes 53% | |||||
Syracuse
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Gavin DotyG | 28 | 14.5 | 7.2 | 2.3 | 1.4 |
| 15+ pts 46% · 7+ reb 54% · 3+ ast 39% | |||||
| Garwey DualG | 26 | 8.7 | 2.9 | 3.9 | 0.6 |
| 10+ pts 38% · 3+ reb 51% · 4+ ast 53% | |||||
| Sadiq White Jr.F | 25 | 12.2 | 6.9 | 0.7 | 0.5 |
| 10+ pts 64% · 7+ reb 51% · 1+ threes 40% | |||||
| Luke WilsonC | 24 | 11.3 | 6.6 | 0.6 | 0.0 |
| 10+ pts 57% · 7+ reb 47% | |||||
| Ryan MoeschG | 22 | 9.4 | 2.3 | 4.2 | 1.3 |
| 10+ pts 44% · 2+ reb 61% · 4+ ast 58% | |||||
| Kiyan AnthonyG | 22 | 14.1 | 2.2 | 2.0 | 1.4 |
| 15+ pts 44% · 2+ reb 59% · 2+ ast 55% | |||||
| Mark MoranoF | 18 | 9.2 | 3.6 | 0.9 | 1.5 |
| 10+ pts 42% · 4+ reb 46% · 2+ threes 42% | |||||
| Amarri MonroeF | 16 | 7.9 | 4.0 | 1.3 | 0.8 |
| 10+ pts 32% · 4+ reb 53% · 1+ threes 52% | |||||
Our own projections from each player's minutes and production, this opponent and the game's pace: not a sportsbook's lines. Under each name, the round numbers the player is about as likely as not to reach. How they have done
Win probability
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