Stony Brook Seawolves
2026 Team Stats (31 games)
58.5
PPG
56.5
Opp
+2.0
Margin
38.9%
FG%
30.9%
3P%
68.2%
FT%
36.5
RPG
12.3
APG
17.4
TO
78.5
Pace
54.9
AdjO
62.2
AdjD
#251
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 → | 1043 (#156) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 942 (#218) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1070 (#101) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -7.2 (#251) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.2 (#224) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.334 (#230) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.375 (#209) | NetEff -3.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.200 (#260) | AdjNet -12.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.193 (#261) | AdjNet -12.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.340 (#251) | AdjO 54.9 | AdjD 62.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.510 (#198) | AdjO 57.6 | AdjD 57.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.701 (#197) | 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 → | 0.671 (#201) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1114 (#130) | RD 125 | GP 31 |
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. Brantley
|
G | 26 | 31.6 | 12.8 | 4.5 | 2.0 | 1.5 | 0.7 | 2.2 | 12.2 | 7.1 | 123 | 6.8 | 7.8 | 36.3 | 29.4 | 82.4 | 1.98 | 46.8 | 41.3 |
D. Berete
|
G | 31 | 26.5 | 11.0 | 4.5 | 0.9 | 1.3 | 0.1 | 2.2 | 9.4 | 6.2 | 78 | 3.4 | 5.9 | 40.1 | 35.4 | 73.0 | 2.16 | 53.5 | 50.7 |
C. Frost
|
F | 31 | 30.5 | 9.1 | 6.9 | 1.5 | 1.3 | 0.8 | 2.4 | 9.9 | 7.3 | 49 | 2.1 | 2.7 | 36.5 | 26.4 | 46.7 | 0.87 | 43.3 | 42.7 |
S. Frau Garcia
|
G | 31 | 32.5 | 6.7 | 4.8 | 4.9 | 2.4 | 0.1 | 4.1 | 6.7 | 8.1 | - | - | - | 34.0 | 20.0 | 75.3 | - | 42.7 | 35.4 |
C. Oliver
|
G | 31 | 21.5 | 5.2 | 2.4 | 1.1 | 0.4 | 0.1 | 1.3 | 4.9 | 3.1 | 8 | 0.3 | 0.6 | 38.4 | 36.2 | 76.3 | -2.01 | 48.3 | 44.0 |
J. Potter
|
F | 31 | 20.6 | 4.8 | 2.3 | 0.5 | 0.5 | 0.4 | 1.2 | 3.2 | 4.1 | 28 | 1.2 | 2.7 | 58.0 | 0 | 68.1 | -0.03 | 61.3 | 58.0 |
M. Mwanza
|
F | 23 | 11.4 | 4.2 | 3.4 | 0.3 | 0.7 | 0.3 | 0.9 | 3.7 | 4.3 | -11 | -0.8 | -2.5 | 42.4 | 0 | 55.8 | -3.39 | 46.2 | 42.4 |
N. Bennett
|
G | 28 | 14.6 | 3.4 | 0.7 | 0.8 | 0.1 | 0.0 | 0.5 | 3.3 | 1.2 | 59 | 3.0 | 9.0 | 35.9 | 34.8 | 100.0 | 3.28 | 50.7 | 48.9 |
A. Brown
|
F | 27 | 14.3 | 3.4 | 2.9 | 0.4 | 0.5 | 0.5 | 1.0 | 2.8 | 4.0 | 251 | 16.7 | 19.6 | 49.3 | 0.0 | 40.9 | 5.14 | 48.7 | 49.3 |
A. Sellers
|
F | 3 | 10.7 | 3.3 | 3.3 | 0.0 | 0.3 | 0.0 | 0.7 | 3.0 | 3.3 | 8 | 2.7 | 20.3 | 55.6 | 0 | 0 | 1.86 | 55.6 | 55.6 |
D. Cooper
|
G | 15 | 7.9 | 1.5 | 0.9 | 0.4 | 1.1 | 0.2 | 0.7 | 2.1 | 1.3 | -30 | -2.5 | -22.9 | 25.8 | 33.3 | 75.0 | -2.02 | 33.3 | 27.4 |
E. Egbirika
|
G | 15 | 7.1 | 1.1 | 1.0 | 0.5 | 0.1 | 0.0 | 0.7 | 1.1 | 0.9 | 12 | 0.8 | 4.7 | 35.3 | 20.0 | 80.0 | -1.71 | 44.3 | 38.2 |
I. Giannopoulou
|
G | 3 | 2.3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -0.3 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
L. Filien
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
K. Whiting
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 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