Skidmore
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 → | 932 (#362) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 936 (#417) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1015 (#329) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.1 (#192) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.7 (#341) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.682 (#372) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.217 (#443) | NetEff -8.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.782 (#279) | AdjNet +11.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.783 (#279) | AdjNet +10.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.598 (#303) | AdjO 59.9 | AdjD 55.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.591 (#243) | AdjO 59.9 | AdjD 55.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.548 (#342) | 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 → | 0.560 (#330) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 997 (#316) | RD 99 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | @ | Williams | W | 73 - 69 |
| 2025-11-19 | @ | Trinity (CT) | L | 56 - 72 |
| 2025-11-22 | vs | Bowdoin | L | 46 - 68 |
| 2025-12-02 | @ | Middlebury | L | 49 - 62 |
| 2026-01-10 | @ | Rensselaer | L | 47 - 51 |
| 2026-01-16 | @ | St. Lawrence | L | 59 - 61 |
| 2026-01-17 | @ | Clarkson | W | 77 - 48 |
| 2026-01-20 | vs | Vassar | L | 50 - 53 |
| 2026-01-23 | vs | Bard | W | 54 - 29 |
| 2026-01-27 | vs | Union (NY) | W | 71 - 54 |
| 2026-01-30 | vs | Rensselaer | L | 61 - 68 |
| 2026-01-31 | vs | William Smith | W | 62 - 39 |
| 2026-02-03 | @ | Vassar | W | 59 - 55 |
| 2026-02-06 | @ | Union (NY) | L | 54 - 59 |
| 2026-02-07 | @ | Bard | W | 67 - 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Madison Meyer | - | 15 | 23.8 | 11.8 | 3.7 | 2.2 | 2.5 | 0.0 | 1.7 | 12.8 | 5.7 | -49 | -2.5 | -13.6 | 37.0 | 19.6 | 63.4 | 1.37 | 42.1 | 39.3 |
| Sophia Martinez | - | 14 | 24.8 | 9.6 | 2.4 | 1.5 | 2.3 | 0.1 | 4.1 | 10.0 | 1.8 | -50 | -2.6 | -13.6 | 39.3 | 32.3 | 51.9 | 1.81 | 44.1 | 42.9 |
| Claudia Schneider | - | 15 | 27.7 | 9.1 | 5.3 | 1.4 | 2.0 | 0.5 | 1.3 | 8.9 | 8.1 | -48 | -2.4 | -11.5 | 42.1 | 35.3 | 55.9 | 2.14 | 46.3 | 44.4 |
| Sara Hastie | - | 15 | 22.7 | 5.3 | 3.8 | 2.5 | 1.9 | 0.3 | 1.3 | 5.3 | 7.1 | -25 | -1.2 | -6.8 | 35.4 | 25.9 | 66.7 | 1.12 | 44.1 | 39.9 |
| Meghan Drury | - | 15 | 14.7 | 4.9 | 0.6 | 0.6 | 0.7 | 0.0 | 1.5 | 4.7 | 0.6 | -20 | -1.0 | -7.8 | 42.3 | 34.3 | 50.0 | -0.43 | 50.9 | 50.7 |
| Ruby Krop | - | 15 | 22.1 | 4.3 | 5.3 | 0.7 | 0.9 | 3.1 | 1.3 | 5.1 | 7.9 | -52 | -2.6 | -14.3 | 31.6 | 21.4 | 72.2 | 1.05 | 38.1 | 33.6 |
| Stella Criniti | - | 12 | 16.8 | 4.3 | 1.8 | 0.7 | 1.0 | 0.0 | 1.2 | 5.3 | 1.2 | 4 | 0.2 | 1.5 | 31.2 | 28.1 | 75.0 | 0.01 | 39.5 | 38.3 |
| Audrey Bowen | - | 11 | 15.3 | 4.2 | 4.3 | 1.0 | 1.2 | 0.2 | 0.9 | 2.8 | 7.1 | -21 | -1.5 | -8.0 | 51.6 | 0 | 58.3 | 0.9 | 55.3 | 51.6 |
| Rachel Carpenter | - | 14 | 11.5 | 3.6 | 0.3 | 0.5 | 0.4 | 0.0 | 1.0 | 2.6 | 1.1 | -22 | -1.2 | -16.7 | 45.9 | 47.1 | 50.0 | -0.61 | 67.3 | 67.6 |
| Haley McCarthy | - | 4 | 6.0 | 3.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 2.8 | 0.5 | 9 | 1.3 | 17.3 | 45.5 | 40.0 | 0 | 0.56 | 54.5 | 54.5 |
| Melissa Severino | - | 15 | 17.5 | 2.5 | 3.1 | 1.0 | 0.5 | 0.1 | 1.1 | 2.2 | 3.8 | -28 | -1.4 | -9.9 | 45.5 | 40.0 | 83.3 | 2.19 | 51.9 | 48.5 |
| Jenny Shine | - | 12 | 12.3 | 1.8 | 1.2 | 0.4 | 0.1 | 0.8 | 0.3 | 2.2 | 1.8 | 12 | 0.7 | 6.5 | 37.0 | 20.0 | 33.3 | 3.06 | 38.8 | 38.9 |
| Cairenn Sergi | - | 4 | 5.5 | 0.0 | 1.8 | 0.2 | 0.5 | 0.0 | 1.8 | 1.0 | -0.2 | 8 | 2.0 | 17.7 | 0.0 | 0.0 | 0 | 0.39 | 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