Cornell Big Red
2026 Team Stats (26 games)
89.2
PPG
82.3
Opp
+6.9
Margin
50.6%
FG%
40.1%
3P%
74.3%
FT%
35.0
RPG
21.8
APG
11.9
TO
81.8
Pace
85.6
AdjO
86.4
AdjD
#171
Rank
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1050 (#140) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 974 (#207) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1047 (#110) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.1 (#164) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.2 (#129) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.539 (#154) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.598 (#144) | NetEff +3.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.480 (#172) | AdjNet -0.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.478 (#172) | AdjNet -0.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.483 (#171) | AdjO 85.6 | AdjD 86.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.649 (#69) | AdjO 84.5 | AdjD 77.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.806 (#122) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.777 (#117) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1112 (#126) | RD 136 | GP 26 |
2026 Schedule & Results
2026 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Noard
|
- | 26 | 27.6 | 18.2 | 3.4 | 2.1 | 0.5 | 0.3 | 1.6 | 12.1 | 10.8 | -49 | -2.2 | -4.9 | 50.5 | 37.2 | 90.1 | -0.76 | 66.6 | 62.1 |
J. Fiegen
|
- | 22 | 26.3 | 17.8 | 5.0 | 2.2 | 1.0 | 0.5 | 1.0 | 11.5 | 13.9 | 67 | 3.7 | 9.0 | 55.7 | 42.4 | 78.1 | 0.46 | 68.7 | 66.2 |
A. Tsang Hinton
|
- | 26 | 24.7 | 12.7 | 3.0 | 2.0 | 0.8 | 0.5 | 1.3 | 9.0 | 8.7 | 20 | 1.0 | 2.1 | 50.2 | 43.9 | 76.9 | -0.13 | 64.0 | 61.7 |
J. Beccles
|
- | 26 | 23.3 | 7.6 | 2.5 | 3.1 | 1.1 | 0.3 | 1.4 | 6.0 | 7.2 | -43 | -2.1 | -4.9 | 47.1 | 33.9 | 66.0 | -0.53 | 55.9 | 53.2 |
J. Baldwin
|
- | 24 | 19.3 | 7.4 | 4.0 | 3.1 | 0.5 | 0.5 | 1.7 | 5.2 | 8.7 | 88 | 4.9 | 14.1 | 44.8 | 34.0 | 71.6 | 0.93 | 57.6 | 52.0 |
A. Nimani
|
- | 21 | 17.2 | 5.5 | 1.7 | 1.9 | 0.6 | 0.0 | 1.0 | 3.4 | 5.2 | 70 | 5.0 | 16.7 | 56.9 | 50.0 | 84.6 | 0.98 | 69.5 | 65.3 |
Kaspar Sepp
|
F | 26 | 19.0 | 5.0 | 5.5 | 2.7 | 0.5 | 0.2 | 1.4 | 3.5 | 8.9 | -40 | -2.0 | -6.1 | 50.5 | 27.8 | 64.7 | -0.38 | 57.3 | 53.3 |
I. Imegwu
|
- | 13 | 5.4 | 4.8 | 1.2 | 0.9 | 0.0 | 0.0 | 0.2 | 3.2 | 3.5 | 26 | 1.7 | 17.4 | 51.2 | 51.4 | 66.7 | -0.04 | 73.3 | 73.2 |
M. Rafiq
|
- | 17 | 8.6 | 4.1 | 1.2 | 1.4 | 0.1 | 0.0 | 0.4 | 3.1 | 3.5 | 85 | 6.5 | 36.1 | 48.1 | 44.7 | 60.0 | 0.54 | 64.6 | 64.4 |
T. Iwanonkiw
|
- | 3 | 7.7 | 4.0 | 1.0 | 0.7 | 0.0 | 0.0 | 0.0 | 3.0 | 2.7 | 7 | 2.3 | 144.8 | 44.4 | 44.4 | 0 | -0.0 | 66.7 | 66.7 |
G. Panzini
|
- | 26 | 10.1 | 3.7 | 1.9 | 0.6 | 0.4 | 0.2 | 0.5 | 2.1 | 4.3 | 17 | 0.9 | 4.2 | 67.3 | 47.8 | 60.0 | -0.41 | 76.0 | 77.3 |
DJ Nix
|
- | 25 | 12.1 | 3.5 | 1.7 | 1.2 | 0.2 | 0.4 | 0.8 | 2.9 | 3.5 | -47 | -2.8 | -10.0 | 43.1 | 37.0 | 57.1 | 0.26 | 55.7 | 54.9 |
C. Zentner
|
- | 23 | 11.6 | 3.3 | 0.8 | 0.7 | 0.3 | 0.0 | 0.3 | 2.7 | 2.2 | 29 | 1.8 | 7.5 | 41.9 | 40.0 | 66.7 | 0.32 | 60.0 | 59.7 |
Damaryon Fishburn
|
- | 19 | 8.9 | 2.6 | 2.2 | 1.5 | 0.5 | 0.0 | 0.7 | 1.3 | 4.7 | -24 | -1.4 | -8.5 | 70.8 | 63.6 | 57.1 | -0.51 | 81.2 | 85.4 |
Jax Abalos
|
- | 11 | 6.1 | 2.6 | 0.5 | 0.4 | 0.1 | 0.1 | 0.2 | 2.0 | 1.5 | 0 | 0.0 | 0.0 | 50.0 | 35.3 | 50.0 | -0.03 | 63.4 | 63.6 |
Ryan Burbach
|
- | 5 | 8.2 | 2.6 | 1.6 | 0.2 | 1.0 | 0.0 | 0.4 | 3.8 | 1.2 | 10 | 2.0 | 15.4 | 26.3 | 15.4 | 100.0 | 0.21 | 33.4 | 31.6 |
AJ LaBeau
|
- | 9 | 4.2 | 0.8 | 1.2 | 1.1 | 0.0 | 0.3 | 0.6 | 0.9 | 2.0 | 9 | 1.5 | 26.3 | 37.5 | 0 | 33.3 | -0.06 | 37.6 | 37.5 |
AJ Rodriguez
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -5 | -0.2 | -0.5 | - | - | - | -0.14 | - | - |
Elijah Griffin
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 32 | 4.6 | 112.9 | - | - | - | -0.14 | - | - |
Blake Lecklitner
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG