Rutgers Scarlet Knights
2026 Team Stats (27 games)
57.1
PPG
69.8
Opp
-12.7
Margin
36.3%
FG%
29.2%
3P%
67.3%
FT%
34.9
RPG
11.4
APG
16.6
TO
79.6
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 865 (#562) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.9 (#187) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.330 (#532) | AdjO 58.3 | AdjD 66.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.647 (#223) | 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 → | 0.570 (#242) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 907 (#383) | RD 173 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Ndiaye
|
F | 25 | 30.2 | 14.2 | 5.2 | 1.5 | 1.4 | 0.2 | 2.8 | 10.2 | 9.4 | 65 | 4.6 | 10.5 | 44.9 | 40.3 | 75.2 | 2.34 | 57.0 | 50.6 |
Z. Perkins
|
F | 23 | 32.8 | 11.8 | 4.7 | 1.7 | 1.1 | 0.7 | 2.6 | 10.3 | 7.1 | -56 | -2.8 | -3.5 | 41.1 | 36.5 | 69.0 | 1.36 | 49.6 | 45.1 |
I. Lester
|
G | 24 | 23.1 | 10.4 | 5.3 | 1.3 | 1.0 | 1.1 | 1.7 | 9.8 | 7.7 | 31 | 1.5 | 2.2 | 39.7 | 27.8 | 75.7 | 3.08 | 47.0 | 41.9 |
F. Blackstone
|
G | 18 | 23.9 | 9.9 | 4.0 | 0.9 | 1.1 | 0.6 | 2.1 | 8.8 | 5.7 | -62 | -4.4 | -9.1 | 37.3 | 25.4 | 71.4 | -0.02 | 47.9 | 42.1 |
K. Ivey
|
G | 27 | 35.2 | 7.7 | 2.7 | 3.4 | 1.1 | 0.1 | 2.4 | 10.1 | 2.5 | -18 | -0.9 | -0.9 | 27.6 | 26.0 | 61.9 | 4.26 | 37.0 | 35.8 |
L. Swann
|
G | 15 | 20.3 | 7.7 | 2.1 | 1.3 | 1.1 | 0.1 | 1.5 | 9.9 | 0.9 | -67 | -6.7 | -20.0 | 28.2 | 26.9 | 68.4 | -1.48 | 36.5 | 34.2 |
J. Walker
|
F | 26 | 17.4 | 2.4 | 3.5 | 0.5 | 0.2 | 0.4 | 1.5 | 2.5 | 3.0 | -4 | -0.3 | -2.5 | 42.2 | 0 | 32.0 | -1.22 | 41.3 | 42.2 |
A. Bates
|
G | 27 | 27.1 | 2.0 | 5.1 | 1.9 | 1.0 | 0.6 | 1.7 | 2.4 | 6.6 | -101 | -4.4 | -9.2 | 30.3 | 26.7 | 61.1 | -2.2 | 37.2 | 33.3 |
Y. Ndiaye
|
F | 9 | 9.6 | 1.1 | 2.2 | 0.3 | 0.3 | 0.2 | 1.0 | 2.0 | 1.2 | - | - | - | 22.2 | 0.0 | 25.0 | - | 23.2 | 22.2 |
M. Moore
|
G | 11 | 3.1 | 0.7 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 1.1 | -0.1 | 153 | 6.7 | 7.8 | 25.0 | 0.0 | 40.0 | 1.13 | 28.2 | 25.0 |
K. Brandt
|
G | 20 | 4.0 | 0.6 | 0.5 | 0.0 | 0.1 | 0.0 | 0.1 | 0.8 | 0.2 | -19 | -1.2 | -10.2 | 25.0 | 28.6 | 0 | -1.44 | 37.5 | 37.5 |
D. Young
|
G | 23 | 5.3 | 0.4 | 0.3 | 0.2 | 0.3 | 0.0 | 0.3 | 0.4 | 0.5 | 6 | 0.4 | 3.0 | 40.0 | 20.0 | 33.3 | 0.1 | 44.2 | 45.0 |
P. Wheeler
|
F | 23 | 6.3 | 0.4 | 1.5 | 0.1 | 0.0 | 0.2 | 0.5 | 0.7 | 1.1 | -90 | -5.0 | -49.1 | 26.7 | 0 | 14.3 | -4.94 | 24.9 | 26.7 |
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