Princeton
2026 Team Stats (26 games)
68.7
PPG
71.8
Opp
-3.1
Margin
43.3%
FG%
34.9%
3P%
74.2%
FT%
32.7
RPG
12.9
APG
11.4
TO
73.3
Pace
67.1
AdjO
72.9
AdjD
#250
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 → | 904 (#249) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 855 (#290) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 922 (#642) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.9 (#248) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.7 (#268) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.307 (#283) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.219 (#270) | NetEff -10.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.298 (#244) | AdjNet -7.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.295 (#244) | AdjNet -7.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.370 (#250) | AdjO 67.1 | AdjD 72.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.473 (#377) | AdjO 67.8 | AdjD 69.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.620 (#274) | 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 → | 0.578 (#276) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 943 (#313) | RD 156 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Hicke
|
G | 26 | 33.5 | 15.2 | 5.2 | 2.2 | 1.0 | 0.3 | 1.9 | 11.2 | 10.8 | -20 | -0.9 | -1.4 | 45.7 | 40.4 | 83.3 | -0.24 | 58.8 | 53.3 |
D. Davis
|
G | 19 | 27.8 | 14.9 | 2.4 | 2.4 | 0.5 | 0.1 | 2.2 | 11.9 | 6.3 | 7 | 0.5 | 2.2 | 40.3 | 41.0 | 88.6 | -0.51 | 54.5 | 47.3 |
J. Stanton
|
G | 20 | 30.4 | 11.1 | 3.4 | 1.6 | 0.9 | 0.1 | 0.9 | 8.1 | 8.0 | -11 | -0.5 | -0.7 | 42.2 | 39.8 | 94.6 | -0.2 | 62.6 | 58.1 |
M. Abdullahi
|
F | 25 | 28.4 | 9.4 | 5.5 | 1.4 | 0.4 | 0.3 | 1.5 | 6.0 | 9.5 | 6 | 0.3 | 0.5 | 56.4 | 8.7 | 71.4 | 0.13 | 62.2 | 57.0 |
CJ Happy
|
F | 22 | 18.0 | 6.8 | 2.2 | 1.4 | 0.5 | 0.3 | 1.4 | 6.6 | 3.3 | -27 | -1.3 | -3.2 | 42.1 | 30.3 | 26.3 | -0.65 | 48.9 | 50.0 |
Landon Clark
|
- | 26 | 28.6 | 5.7 | 3.8 | 1.9 | 1.0 | 0.4 | 1.2 | 4.9 | 6.7 | -73 | -3.3 | -5.4 | 40.2 | 35.6 | 68.2 | -0.85 | 54.1 | 52.4 |
J. Huggins
|
F | 26 | 21.8 | 4.9 | 4.5 | 1.7 | 0.3 | 0.6 | 0.7 | 3.7 | 7.7 | -5 | -0.2 | -0.6 | 38.1 | 30.0 | 61.5 | 0.21 | 48.7 | 41.2 |
Sebastian Whitfield
|
- | 26 | 11.6 | 3.0 | 1.7 | 0.5 | 0.3 | 0.2 | 0.8 | 3.1 | 1.9 | -18 | -0.8 | -3.3 | 38.8 | 25.7 | 50.0 | -0.31 | 45.4 | 44.4 |
Jacob Hammond
|
- | 21 | 7.0 | 2.4 | 1.2 | 0.2 | 0.1 | 0.1 | 0.6 | 2.0 | 1.5 | -24 | -1.4 | -9.6 | 41.9 | 7.7 | 72.2 | -0.36 | 49.1 | 43.0 |
P. Seals
|
G | 16 | 9.2 | 2.2 | 1.4 | 0.4 | 0.2 | 0.0 | 0.4 | 1.9 | 1.9 | -8 | -0.7 | -8.7 | 38.7 | 30.4 | 100.0 | -0.14 | 54.2 | 50.0 |
Jake Sussberg
|
- | 17 | 5.9 | 2.2 | 0.9 | 0.2 | 0.0 | 0.1 | 0.1 | 1.7 | 1.6 | 16 | 1.1 | 7.4 | 41.4 | 37.5 | 71.4 | 0.16 | 59.2 | 56.9 |
Z. Kim
|
G | 7 | 1.4 | 1.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.1 | 0.4 | 0.7 | 2 | 0.3 | 24.4 | 66.7 | 50.0 | 100.0 | 0.05 | 90.2 | 83.3 |
Cash Mcsweeney
|
- | 13 | 5.9 | 0.8 | 1.0 | 1.0 | 0.2 | 0.0 | 0.8 | 1.0 | 1.2 | 18 | 1.6 | 13.9 | 30.8 | 28.6 | 25.0 | 0.38 | 37.3 | 38.5 |
Ryan Mandes
|
- | 7 | 1.3 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.4 | -19 | -2.1 | -7.7 | 100.0 | 0 | 0.0 | -0.22 | 69.4 | 100.0 |
C. Mueller
|
- | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | -1.0 | 5 | 1.7 | 42.9 | 0.0 | 0 | 0 | 0.09 | 0.0 | 0.0 |
William Kutzler
|
- | 4 | 1.2 | 0.0 | 0.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 8 | 2.7 | 165.5 | 0 | 0 | 0 | 0.11 | 0 | 0 |
L. Denault
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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