Vassar
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 → | 954 (#327) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1068 (#205) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1019 (#298) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.7 (#180) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.4 (#416) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.858 (#266) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.428 (#381) | NetEff -2.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.858 (#236) | AdjNet +15.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.859 (#239) | AdjNet +15.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.677 (#253) | AdjO 66.8 | AdjD 58.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.493 (#401) | AdjO 56.3 | AdjD 56.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.481 (#394) | 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 → | 0.480 (#402) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 998 (#311) | RD 97 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-12 | @ | SUNY New Paltz | L | 55 - 70 |
| 2025-11-22 | vs | Misericordia | W | 66 - 30 |
| 2025-11-29 | @ | Mt. St. Mary (NY) | L | 68 - 72 |
| 2025-12-03 | @ | Trinity (CT) | L | 60 - 68 |
| 2025-12-29 | @ | Bowdoin | L | 44 - 64 |
| 2025-12-30 | @ | Tufts | L | 68 - 84 |
| 2026-01-10 | vs | St. Lawrence | W | 70 - 58 |
| 2026-01-16 | @ | RIT | L | 43 - 62 |
| 2026-01-17 | @ | Union (NY) | W | 54 - 52 |
| 2026-01-20 | @ | Skidmore | W | 53 - 50 |
| 2026-01-23 | vs | Rensselaer | L | 41 - 52 |
| 2026-01-24 | vs | Bard | W | 51 - 34 |
| 2026-01-30 | @ | St. Lawrence | L | 59 - 68 |
| 2026-01-31 | @ | Clarkson | W | 65 - 53 |
| 2026-02-03 | vs | Skidmore | L | 55 - 59 |
| 2026-02-06 | @ | Bard | W | 63 - 41 |
| 2026-02-07 | @ | Rensselaer | L | 39 - 57 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sierra McDermed | - | 17 | 33.6 | 12.9 | 5.9 | 2.1 | 1.6 | 0.8 | 2.9 | 10.4 | 10.1 | -82 | -3.9 | -17.5 | 44.9 | 43.9 | 75.9 | 0.2 | 54.6 | 50.0 |
| Lindsey Shoulders | - | 14 | 23.1 | 11.0 | 6.6 | 0.8 | 0.9 | 0.2 | 1.4 | 10.4 | 7.6 | -33 | -1.8 | -14.8 | 42.8 | 21.4 | 58.7 | 1.36 | 46.6 | 43.8 |
| Maureen Regan | - | 17 | 32.0 | 9.3 | 4.8 | 2.0 | 2.5 | 0.1 | 3.0 | 10.1 | 5.6 | -91 | -4.3 | -18.0 | 38.0 | 25.4 | 61.1 | -2.05 | 44.2 | 43.0 |
| Elodie Ware | - | 17 | 21.8 | 6.5 | 3.2 | 0.8 | 0.5 | 1.1 | 1.6 | 7.8 | 2.6 | -68 | -3.2 | -21.2 | 30.1 | 15.2 | 83.3 | -1.6 | 37.6 | 32.0 |
| Erin Lovett | - | 15 | 18.2 | 5.8 | 3.7 | 1.2 | 1.0 | 0.4 | 2.6 | 5.7 | 3.8 | 53 | 2.8 | 20.4 | 32.9 | 0.0 | 72.1 | 2.74 | 41.9 | 32.9 |
| Sophia Ippolito | - | 17 | 28.3 | 5.6 | 1.6 | 0.9 | 0.9 | 0.1 | 1.8 | 5.3 | 2.1 | -75 | -3.6 | -19.6 | 32.2 | 17.1 | 81.1 | -2.09 | 44.7 | 36.1 |
| Emery Mullen | - | 10 | 17.7 | 4.1 | 3.6 | 1.0 | 1.2 | 0.7 | 1.8 | 3.1 | 5.7 | -23 | -2.1 | -11.3 | 58.1 | 50.0 | 66.7 | 1.16 | 60.9 | 59.7 |
| Maddie Ahearn | - | 14 | 21.4 | 3.1 | 1.6 | 0.9 | 0.4 | 0.1 | 1.1 | 3.1 | 1.9 | 2 | 0.1 | 0.5 | 36.4 | 29.2 | 100.0 | 1.62 | 47.0 | 44.3 |
| Sam Lederman | - | 17 | 11.6 | 1.9 | 1.1 | 0.4 | 0.7 | 0.1 | 1.1 | 2.5 | 0.6 | -78 | -3.7 | -42.9 | 27.9 | 31.6 | 50.0 | -2.43 | 36.2 | 34.9 |
| Ava Gurley | - | 17 | 9.4 | 0.8 | 1.6 | 0.5 | 0.2 | 0.2 | 0.5 | 1.0 | 1.9 | -40 | -1.9 | -23.7 | 29.4 | 11.1 | 100.0 | -4.61 | 36.4 | 32.4 |
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