Princeton
2024 Team Stats (29 games)
77.1
PPG
66.6
Opp
+10.5
Margin
45.8%
FG%
35.6%
3P%
80.6%
FT%
33.3
RPG
14.6
APG
8.2
TO
73.7
Pace
Model Outputs
2023-2024
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 → | 1082 (#189) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1245 (#97) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.8 (#125) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.724 (#12) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.786 (#27) | NetEff +12.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.378 (#80) | AdjNet -4.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.377 (#80) | AdjNet -4.3 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
X. Lee
|
G | 29 | 31.1 | 17.1 | 5.7 | 3.7 | 1.0 | 0.5 | 1.4 | 13.0 | 13.6 | 15 | 1.7 | 4.2 | 45.1 | 33.8 | 79.8 | 0.17 | 57.1 | 52.0 |
Caden Pierce
|
F | 29 | 32.9 | 16.6 | 9.2 | 3.2 | 1.2 | 0.5 | 1.8 | 11.2 | 17.7 | 27 | 2.5 | 7.2 | 54.6 | 34.2 | 76.7 | 0.28 | 63.0 | 58.7 |
Matt Allocco
|
- | 29 | 33.6 | 12.7 | 2.9 | 3.3 | 0.7 | 0.1 | 1.3 | 8.6 | 9.9 | 41 | 4.6 | 10.5 | 50.8 | 42.7 | 90.9 | 0.45 | 65.5 | 60.3 |
Zach Martini
|
- | 29 | 29.8 | 8.4 | 3.3 | 0.9 | 0.5 | 0.1 | 0.5 | 6.6 | 6.2 | 3 | 0.3 | 0.9 | 44.5 | 38.5 | 83.3 | -0.01 | 61.6 | 60.2 |
Blake Peters
|
G | 29 | 27.2 | 7.8 | 2.5 | 0.8 | 1.0 | 0.1 | 0.5 | 7.3 | 4.4 | 33 | 3.7 | 11.7 | 33.3 | 32.2 | 77.8 | -0.06 | 50.5 | 48.4 |
D. Davis
|
G | 29 | 15.2 | 6.6 | 1.1 | 0.9 | 0.5 | 0.1 | 0.8 | 5.7 | 2.8 | 4 | 0.4 | 0.9 | 40.9 | 36.9 | 89.7 | 0.1 | 54.0 | 50.3 |
J. Scott
|
- | 29 | 12.2 | 2.3 | 2.2 | 0.6 | 0.5 | 0.1 | 0.4 | 1.8 | 3.5 | 29 | 3.2 | 21.4 | 41.5 | 27.3 | 66.7 | 0.34 | 51.9 | 47.2 |
Darius Gakwasi
|
G | 19 | 4.3 | 2.2 | 0.5 | 0.3 | 0.2 | 0.0 | 0.2 | 1.9 | 1.1 | -3 | -0.5 | -150.0 | 47.2 | 33.3 | 0 | -0.07 | 56.9 | 56.9 |
V. Collins
|
F | 15 | 3.4 | 2.0 | 1.2 | 0.1 | 0.0 | 0.1 | 0.2 | 1.1 | 2.1 | -8 | -1.6 | -73.0 | 56.2 | 0 | 92.3 | -0.06 | 69.1 | 56.2 |
J. Huggins
|
F | 22 | 6.0 | 1.5 | 1.4 | 0.2 | 0.0 | 0.1 | 0.1 | 0.8 | 2.2 | -1 | -0.2 | -9.7 | 66.7 | 0 | 64.3 | -0.04 | 68.3 | 66.7 |
D. Sangster
|
- | 13 | 3.8 | 1.4 | 0.7 | 0.2 | 0.0 | 0.4 | 0.2 | 1.4 | 1.1 | - | - | - | 33.3 | 36.4 | 66.7 | - | 46.6 | 44.4 |
Ryan Duncan
|
G | 7 | 3.9 | 1.3 | 0.1 | 0.1 | 0.3 | 0.0 | 0.1 | 0.6 | 1.1 | - | - | - | 75.0 | 100.0 | 0 | - | 112.5 | 112.5 |
J. Hicke
|
G | 16 | 7.4 | 1.2 | 1.6 | 0.7 | 0.4 | 0.2 | 0.4 | 0.9 | 2.9 | 5 | 1.0 | 25.2 | 50.0 | 66.7 | 100.0 | 0.02 | 63.5 | 57.1 |
Philip Byriel
|
F | 11 | 5.5 | 0.8 | 0.8 | 0.4 | 0.1 | 0.0 | 0.0 | 1.5 | 0.5 | - | - | - | 23.5 | 8.3 | 0.0 | - | 25.8 | 26.5 |
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