Stony Brook
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 → | 1019 (#200) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1095 (#158) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1053 (#240) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1167 (#43) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.5 (#181) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.6 (#306) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#68) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.743 (#337) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#46) | NetEff +69.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#43) | AdjNet +59.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.589 (#351) | AdjNet +3.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#48) | AdjNet +58.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.580 (#351) | AdjNet +2.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.962 (#69) | AdjO 80.5 | AdjD 44.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.546 (#334) | AdjO 71.8 | AdjD 69.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.671 (#159) | AdjO 74.0 | AdjD 66.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.692 (#222) | 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 → | 0.701 (#212) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1200 (#66) | RD 96 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Penn St.-Behrend | L | 76 - 83 |
| 2025-11-14 | @ | Mt. St. Mary (NY) | W | 94 - 64 |
| 2025-11-15 | @ | Trinity (CT) | L | 63 - 76 |
| 2025-11-18 | @ | Hamilton | L | 64 - 88 |
| 2025-11-21 | vs | William Smith | W | 86 - 66 |
| 2025-11-22 | vs | Ithaca | W | 80 - 75 |
| 2025-12-01 | vs | New Jersey City | W | 85 - 38 |
| 2025-12-02 | vs | RIT | W | 65 - 61 |
| 2026-01-10 | vs | Nazareth | L | 65 - 75 |
| 2026-01-13 | @ | Keuka | W | 75 - 53 |
| 2026-01-16 | @ | Utica | W | 97 - 78 |
| 2026-01-17 | @ | SUNY Poly | W | 76 - 66 |
| 2026-01-23 | @ | Houghton | W | 70 - 59 |
| 2026-01-24 | @ | Alfred | W | 81 - 50 |
| 2026-01-30 | vs | Russell Sage | W | 71 - 66 |
| 2026-01-31 | vs | Hartwick | W | 81 - 46 |
| 2026-02-03 | vs | SUNY Geneseo | W | 72 - 64 |
| 2026-02-06 | @ | Nazareth | L | 65 - 81 |
| 2026-02-07 | @ | St. John Fisher | W | 91 - 84 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Diaka Berete | - | 1 | 30.4 | 21.0 | 6.0 | 1.0 | 3.0 | 0.0 | 1.0 | 19.0 | 11.0 | - | - | - | 42.1 | 41.7 | 0 | - | 55.3 | 55.3 |
| Stephanie Jean-Baptiste | - | 18 | 31.2 | 19.7 | 6.1 | 1.7 | 1.9 | 0.6 | 2.4 | 16.1 | 11.4 | 111 | 5.3 | 21.8 | 46.2 | 28.1 | 79.5 | 3.6 | 54.7 | 50.5 |
| Nal'la Bennett | - | 1 | 31.4 | 18.0 | 2.0 | 4.0 | 1.0 | 0.0 | 1.0 | 12.0 | 12.0 | - | - | - | 58.3 | 44.4 | 0 | - | 75.0 | 75.0 |
| Mandy Brink | - | 18 | 27.3 | 13.7 | 4.9 | 3.2 | 2.3 | 0.1 | 2.7 | 12.4 | 9.0 | 114 | 5.2 | 22.7 | 37.5 | 26.4 | 81.8 | 2.72 | 48.6 | 42.9 |
| Brianna Carey | - | 18 | 25.2 | 11.2 | 3.0 | 1.7 | 2.1 | 0.2 | 1.8 | 9.8 | 6.6 | 22 | 1.0 | 5.3 | 40.3 | 28.9 | 84.4 | 0.22 | 51.6 | 46.6 |
| Johanna Potter | - | 1 | 34.0 | 11.0 | 7.0 | 4.0 | 3.0 | 1.0 | 1.0 | 5.0 | 20.0 | - | - | - | 100.0 | 0 | 50.0 | - | 93.5 | 100.0 |
| Caitlin Frost | - | 1 | 24.6 | 10.0 | 9.0 | 5.0 | 0.0 | 0.0 | 0.0 | 11.0 | 13.0 | - | - | - | 45.5 | 0.0 | 0.0 | - | 43.7 | 45.5 |
| Chloe Oliver | - | 1 | 23.8 | 9.0 | 4.0 | 3.0 | 2.0 | 0.0 | 2.0 | 5.0 | 11.0 | - | - | - | 80.0 | 100.0 | 0 | - | 90.0 | 90.0 |
| Peyton Maneri | - | 16 | 24.1 | 7.1 | 3.1 | 4.2 | 2.5 | 0.0 | 2.3 | 7.4 | 7.2 | 61 | 3.0 | 14.3 | 39.0 | 33.3 | 69.6 | 4.26 | 44.1 | 41.1 |
| Claire Turner | - | 18 | 21.2 | 6.0 | 8.1 | 1.0 | 1.5 | 1.2 | 1.3 | 6.8 | 9.7 | 90 | 4.1 | 21.6 | 38.2 | 0.0 | 58.3 | 2.08 | 40.4 | 38.2 |
| Melissa Mwanza | - | 1 | 19.4 | 6.0 | 7.0 | 1.0 | 1.0 | 1.0 | 1.0 | 9.0 | 6.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Sandra Frau-Garcia | - | 1 | 16.2 | 6.0 | 2.0 | 3.0 | 4.0 | 0.0 | 1.0 | 4.0 | 10.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
| Jackie Kozakiewicz | - | 18 | 16.9 | 5.2 | 1.3 | 1.3 | 1.2 | 0.0 | 1.6 | 5.1 | 2.4 | 17 | 0.8 | 6.8 | 33.7 | 26.8 | 77.3 | -2.25 | 46.2 | 41.8 |
| Delaney Cooper | - | 1 | 18.2 | 4.0 | 2.0 | 1.0 | 2.0 | 0.0 | 2.0 | 7.0 | 0.0 | - | - | - | 28.6 | 0 | 0 | - | 28.6 | 28.6 |
| Addy VanDeWater | - | 18 | 13.2 | 3.6 | 2.8 | 0.8 | 0.4 | 0.1 | 1.1 | 4.2 | 2.4 | -16 | -0.7 | -9.6 | 32.9 | 34.1 | 0.0 | 2.08 | 41.6 | 42.1 |
| Ava Howie | - | 18 | 8.7 | 3.1 | 2.0 | 0.2 | 0.3 | 0.1 | 0.3 | 3.8 | 1.6 | 8 | 0.4 | 4.9 | 29.4 | 25.8 | 100.0 | -0.02 | 38.7 | 35.3 |
| Lila Lovgren | - | 18 | 8.6 | 2.2 | 2.6 | 0.3 | 0.2 | 0.1 | 0.8 | 3.0 | 1.7 | -23 | -1.1 | -18.7 | 27.8 | 19.4 | 75.0 | -3.71 | 35.9 | 34.3 |
| Casey Mahony | - | 18 | 13.7 | 2.2 | 3.6 | 1.1 | 0.6 | 0.5 | 0.6 | 3.0 | 4.3 | 72 | 3.3 | 28.8 | 31.5 | 19.0 | 50.0 | 2.31 | 35.9 | 35.2 |
| Josie Wray | - | 13 | 6.2 | 1.9 | 1.8 | 0.5 | 0.1 | 0.4 | 0.5 | 1.8 | 2.3 | 1 | 0.1 | 3.1 | 37.5 | 57.1 | 50.0 | 0.68 | 46.9 | 45.8 |
| Mallory Turner | - | 9 | 3.7 | 1.4 | 0.2 | 0.0 | 0.4 | 0.0 | 0.2 | 1.7 | 0.2 | -28 | -2.3 | -123.5 | 33.3 | 28.6 | 25.0 | 1.22 | 38.8 | 40.0 |
| Madison Misser | - | 14 | 4.5 | 0.8 | 0.7 | 0.2 | 0.2 | 0.0 | 0.4 | 0.9 | 0.7 | -2 | -0.1 | -5.5 | 25.0 | 22.2 | 50.0 | 2.28 | 37.6 | 33.3 |
| Madeline Hoak | - | 13 | 3.6 | 0.5 | 0.8 | 0.3 | 0.2 | 0.1 | 0.2 | 1.0 | 0.7 | -15 | -0.9 | -41.8 | 23.1 | 0.0 | 0.0 | 0.14 | 21.6 | 23.1 |
| Ioanna Giannopoulou | - | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 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