Purdue
2026 Team Stats (39 games)
81.6
PPG
70.5
Opp
+11.1
Margin
49.9%
FG%
38.3%
3P%
74.6%
FT%
35.2
RPG
19.6
APG
8.9
TO
76.2
Pace
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 → | 1387 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1315 (#16) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1210 (#6) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.0 (#8) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +35.7 (#8) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.843 (#17) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.416 (#195) | NetEff -3.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.974 (#8) | AdjNet +31.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.975 (#8) | AdjNet +31.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.898 (#8) | AdjO 87.5 | AdjD 63.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.806 (#8) | AdjO 81.7 | AdjD 66.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.967 (#8) | 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 → | 0.955 (#8) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1401 (#6) | RD 87 | GP 39 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Smith
|
G | 39 | 34.5 | 14.3 | 3.5 | 8.8 | 1.7 | 0.2 | 2.9 | 11.5 | 14.2 | 268 | 11.2 | 20.3 | 44.0 | 36.2 | 82.5 | 1.13 | 55.6 | 51.1 |
T. Kaufman-Renn
|
F | 37 | 28.2 | 14.2 | 8.3 | 2.5 | 0.4 | 0.2 | 1.4 | 10.6 | 13.6 | 210 | 9.5 | 21.0 | 57.8 | 15.4 | 63.6 | 1.31 | 59.5 | 58.0 |
F. Loyer
|
G | 39 | 29.3 | 14.1 | 2.3 | 2.1 | 0.7 | 0.1 | 1.0 | 9.5 | 8.7 | 76 | 3.2 | 7.0 | 45.0 | 43.2 | 87.4 | 1.78 | 65.0 | 60.2 |
O. Cluff
|
C | 39 | 24.7 | 10.6 | 7.5 | 1.8 | 0.5 | 0.9 | 0.8 | 6.2 | 14.3 | 210 | 9.5 | 17.2 | 68.3 | 0 | 69.9 | 1.74 | 70.4 | 68.3 |
C.J. Cox
|
G | 39 | 24.4 | 8.5 | 2.8 | 1.3 | 0.5 | 0.1 | 0.3 | 6.6 | 6.2 | 221 | 10.0 | 17.7 | 45.7 | 37.3 | 84.2 | 1.79 | 60.1 | 57.8 |
D. Jacobsen
|
C | 39 | 12.9 | 5.5 | 3.0 | 0.3 | 0.1 | 1.2 | 0.6 | 3.3 | 6.3 | 85 | 3.7 | 10.6 | 64.6 | 37.5 | 62.7 | 0.8 | 66.9 | 65.7 |
Omer Mayer
|
- | 39 | 14.3 | 5.5 | 1.1 | 1.2 | 0.4 | 0.0 | 0.9 | 5.0 | 2.2 | 81 | 3.7 | 10.8 | 41.2 | 35.5 | 65.2 | 0.84 | 52.4 | 51.3 |
G. Harris
|
G | 39 | 15.8 | 4.6 | 1.6 | 0.8 | 0.8 | 0.1 | 0.3 | 3.6 | 3.9 | 64 | 2.7 | 7.4 | 40.1 | 35.5 | 86.1 | 0.68 | 56.4 | 51.8 |
J. Benter
|
- | 38 | 14.7 | 4.4 | 2.6 | 0.8 | 0.4 | 0.1 | 0.4 | 3.2 | 4.6 | 103 | 4.9 | 14.2 | 47.9 | 40.9 | 60.9 | 0.89 | 63.3 | 62.8 |
L. Murphy
|
F | 13 | 6.8 | 2.2 | 0.8 | 0.2 | 0.1 | 0.0 | 0.0 | 2.1 | 1.2 | 0 | 0.0 | 0.0 | 37.0 | 34.8 | 0 | -0.04 | 51.9 | 51.9 |
A. Fine
|
- | 9 | 2.4 | 1.2 | 0.0 | 0.3 | 0.0 | 0.0 | 0.2 | 1.1 | 0.2 | -18 | -2.2 | -37.6 | 50.0 | 0 | 50.0 | -0.25 | 50.6 | 50.0 |
R. Burgess
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
S. King
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Antione West Jr
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
J. Rayl
|
- | 8 | 2.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.2 | -16 | -2.3 | -46.4 | 0.0 | 0 | 0 | -0.22 | 0.0 | 0.0 |
J. Lusk
|
- | 9 | 2.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | 0.2 | -16 | -2.0 | -37.9 | 0 | 0 | 0 | -0.2 | 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