Rutgers Scarlet
2026 Team Stats (33 games)
70.0
PPG
74.7
Opp
-4.7
Margin
41.5%
FG%
32.0%
3P%
73.9%
FT%
32.9
RPG
12.0
APG
10.1
TO
77.4
Pace
76.4
AdjO
72.4
AdjD
#109
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 → | 984 (#196) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1062 (#122) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 956 (#591) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.8 (#112) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.0 (#103) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.319 (#275) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.078 (#314) | NetEff -23.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.649 (#111) | AdjNet +5.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.653 (#111) | AdjNet +5.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.591 (#109) | AdjO 76.4 | AdjD 72.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.502 (#237) | AdjO 72.5 | AdjD 72.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.772 (#164) | 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 → | 0.724 (#170) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1050 (#191) | RD 116 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Francis
|
- | 33 | 27.9 | 17.1 | 2.3 | 2.9 | 1.0 | 0.0 | 1.2 | 12.6 | 9.5 | -30 | -1.9 | -6.1 | 42.1 | 35.9 | 91.0 | 0.29 | 56.9 | 48.2 |
D. Grant
|
- | 33 | 24.4 | 9.7 | 4.4 | 0.5 | 0.6 | 0.5 | 1.2 | 7.5 | 7.0 | -18 | -0.8 | -1.4 | 44.4 | 30.4 | 72.7 | 0.31 | 54.1 | 48.6 |
D. Buchanan Jr.
|
G | 33 | 24.0 | 8.2 | 3.8 | 1.7 | 0.6 | 0.2 | 1.3 | 6.6 | 6.4 | -43 | -3.1 | -11.8 | 45.9 | 31.2 | 61.5 | 1.14 | 51.7 | 48.2 |
J. Davis
|
- | 33 | 26.2 | 7.4 | 2.9 | 2.5 | 0.9 | 0.2 | 0.8 | 6.2 | 6.9 | 16 | 0.7 | 1.7 | 39.3 | 36.4 | 77.1 | 0.36 | 51.5 | 46.1 |
Kaden Powers
|
- | 28 | 15.5 | 6.0 | 1.7 | 1.4 | 0.5 | 0.1 | 1.0 | 6.6 | 2.2 | -45 | -2.6 | -7.7 | 35.1 | 33.3 | 70.6 | -0.04 | 43.9 | 42.4 |
Harun Zrno
|
- | 33 | 18.8 | 6.0 | 1.7 | 0.6 | 0.5 | 0.0 | 1.0 | 5.6 | 2.2 | -98 | -4.5 | -10.7 | 34.8 | 32.4 | 75.0 | -0.83 | 50.2 | 47.6 |
Lino Mark
|
- | 32 | 16.0 | 5.9 | 1.8 | 1.2 | 0.9 | 0.1 | 0.9 | 5.2 | 3.8 | 1 | 0.1 | 1.2 | 39.3 | 23.3 | 76.2 | 0.09 | 48.5 | 42.3 |
E. Ogbole
|
- | 33 | 18.9 | 4.7 | 5.9 | 0.4 | 0.3 | 1.2 | 1.1 | 3.3 | 8.1 | -63 | -2.9 | -8.5 | 59.1 | 0 | 54.3 | 0.08 | 59.5 | 59.1 |
Denis Badalau
|
- | 24 | 12.5 | 3.1 | 1.7 | 0.9 | 0.2 | 0.2 | 0.5 | 3.5 | 2.1 | -24 | -1.3 | -4.2 | 30.1 | 21.3 | 66.7 | 0.07 | 40.1 | 36.1 |
Christopher Nwuli
|
- | 29 | 10.1 | 2.1 | 1.5 | 0.4 | 0.2 | 0.3 | 0.6 | 1.7 | 2.2 | -22 | -1.0 | -4.4 | 35.4 | 30.0 | 68.6 | -0.24 | 48.1 | 38.5 |
B. Dortch
|
- | 30 | 14.4 | 2.0 | 3.2 | 0.1 | 0.5 | 0.6 | 0.4 | 1.3 | 4.8 | 5 | 0.2 | 0.6 | 60.5 | 0 | 50.0 | 0.52 | 59.7 | 60.5 |
B. Fall
|
- | 9 | 5.1 | 0.6 | 1.7 | 0.1 | 0.1 | 0.3 | 0.2 | 0.7 | 1.9 | -16 | -1.8 | -14.5 | 33.3 | 0 | 50.0 | -0.14 | 36.3 | 33.3 |
Gevonte Ware
|
- | 6 | 5.8 | 0.3 | 0.5 | 0.0 | 0.2 | 0.0 | 0.3 | 0.7 | 0.0 | -21 | -3.5 | -23.1 | 25.0 | 0 | 0.0 | -0.2 | 20.5 | 25.0 |
Dorian Jones
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 103 | 4.7 | 17.3 | - | - | - | 1.0 | - | - |
M. Fradkin
|
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