Rutgers
2023 Team Stats (25 games)
66.2
PPG
63.7
Opp
+3.2
Margin
42.2%
FG%
32.1%
3P%
68.5%
FT%
35.7
RPG
14.1
APG
11.1
TO
76.7
Pace
Model Outputs
2022-2023
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 → | 1211 (#107) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1285 (#95) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.4 (#83) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.507 (#60) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.603 (#112) | NetEff +3.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.733 (#35) | AdjNet +8.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.736 (#33) | AdjNet +8.9 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Coulibaly
|
- | 1 | 34.0 | 18.0 | 8.0 | 2.0 | 0.0 | 2.0 | 1.0 | 0.0 | 29.0 | -6 | -0.5 | -2.4 | 0 | 0 | 0 | 0.21 | 0 | 0 |
Clifford Omoruyi
|
C | 26 | 30.8 | 12.8 | 9.4 | 0.9 | 0.6 | 2.2 | 1.8 | 9.3 | 14.8 | - | - | - | 49.8 | 8.3 | 60.0 | - | 57.6 | 50.0 |
Cam Spencer
|
- | 26 | 31.8 | 12.7 | 4.0 | 2.9 | 1.8 | 0.2 | 1.5 | 9.2 | 10.8 | - | - | - | 42.5 | 42.3 | 87.7 | - | 61.2 | 52.3 |
Caleb McConnell
|
- | 24 | 34.2 | 8.8 | 5.5 | 2.8 | 2.4 | 0.3 | 2.1 | 8.4 | 9.4 | - | - | - | 37.1 | 17.3 | 60.8 | - | 46.8 | 39.4 |
P. Mulcahy
|
- | 23 | 33.0 | 8.4 | 3.5 | 4.7 | 1.3 | 0.3 | 2.1 | 7.4 | 8.7 | - | - | - | 42.4 | 39.5 | 68.8 | - | 50.8 | 47.4 |
Aundre Hyatt
|
- | 26 | 22.5 | 8.1 | 3.5 | 0.7 | 0.6 | 0.3 | 0.8 | 7.5 | 4.8 | - | - | - | 36.4 | 30.2 | 62.5 | - | 50.2 | 44.6 |
Mawot Mag
|
- | 16 | 25.0 | 7.8 | 5.6 | 1.2 | 0.9 | 0.4 | 1.4 | 4.8 | 9.7 | - | - | - | 52.6 | 37.5 | 67.9 | - | 70.8 | 56.6 |
D. Simpson
|
G | 26 | 19.3 | 7.7 | 1.7 | 1.3 | 0.7 | 0.0 | 0.9 | 6.8 | 3.6 | -8 | -0.5 | -0.7 | 37.6 | 20.0 | 82.0 | 0.8 | 49.8 | 39.9 |
Oskar Palmquist
|
- | 14 | 10.9 | 2.9 | 1.1 | 0.4 | 0.1 | 0.1 | 0.4 | 2.4 | 1.9 | - | - | - | 42.4 | 38.5 | 100.0 | - | 59.0 | 57.6 |
A. Woolfolk
|
F | 24 | 6.6 | 2.0 | 1.4 | 0.2 | 0.2 | 0.2 | 0.5 | 1.1 | 2.4 | 19 | 1.5 | 1.8 | 63.0 | 0 | 36.4 | 1.2 | 76.9 | 63.0 |
A. Terry
|
- | 3 | 1.7 | 1.7 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 66.7 | 100.0 | 0 | - | 83.3 | 83.3 |
D. Reiber
|
F | 20 | 6.8 | 1.6 | 1.1 | 0.5 | 0.2 | 0.1 | 0.2 | 1.6 | 1.4 | - | - | - | 34.4 | 23.1 | 44.4 | - | 43.1 | 39.1 |
A. Chol
|
- | 2 | 3.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | 1.5 | 4 | 0.3 | 0.5 | 0.0 | 0.0 | 0 | 0.83 | 150.0 | 0.0 |
Jalen Miller
|
- | 16 | 5.9 | 0.6 | 0.6 | 0.2 | 0.2 | 0.0 | 0.1 | 0.6 | 1.0 | -56 | -4.7 | -5.9 | 11.1 | 0.0 | 50.0 | 0.06 | 46.5 | 11.1 |
L. Stephens
|
G | 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