Ithaca
Model Outputs
2024-2025
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 → | 1036 (#154) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 997 (#243) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.9 (#100) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.797 (#314) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.830 (#109) | NetEff +12.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.808 (#267) | AdjNet +12.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.812 (#264) | AdjNet +12.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.651 (#278) | AdjO 66.2 | AdjD 59.3 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-13 | vs | Cortland | L | 60 - 65 |
| 2024-11-19 | vs | St. John Fisher | L | 67 - 73 |
| 2024-11-23 | vs | SUNY New Paltz | W | 73 - 59 |
| 2024-12-03 | @ | Rochester (NY) | L | 42 - 92 |
| 2024-12-06 | vs | Vassar | W | 75 - 69 |
| 2024-12-07 | vs | Bard | W | 71 - 44 |
| 2024-12-31 | @ | Tufts | L | 42 - 57 |
| 2025-01-01 | @ | Middlebury | L | 52 - 65 |
| 2025-01-03 | @ | Trinity (CT) | L | 64 - 69 |
| 2025-01-10 | @ | Union (NY) | L | 62 - 66 |
| 2025-01-11 | @ | William Smith | W | 48 - 24 |
| 2025-01-14 | @ | RIT | W | 65 - 62 |
| 2025-01-17 | vs | Clarkson | W | 59 - 42 |
| 2025-01-18 | vs | St. Lawrence | W | 79 - 59 |
| 2025-01-24 | @ | Rensselaer | W | 58 - 55 |
| 2025-01-25 | @ | Skidmore | W | 65 - 55 |
| 2025-01-31 | vs | William Smith | W | 60 - 45 |
| 2025-02-01 | vs | Union (NY) | W | 74 - 61 |
| 2025-02-07 | vs | Skidmore | W | 62 - 40 |
| 2025-02-08 | vs | Rensselaer | W | 85 - 59 |
| 2025-02-11 | vs | RIT | W | 68 - 53 |
| 2025-02-14 | @ | St. Lawrence | W | 77 - 65 |
| 2025-02-15 | @ | Clarkson | W | 71 - 56 |
| 2025-02-21 | @ | Bard | W | 85 - 34 |
| 2025-02-22 | @ | Vassar | W | 78 - 74 |
| 2025-02-28 | vs | RIT | W | 64 - 48 |
| 2025-03-02 | vs | Vassar | L | 31 - 31 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anya Watkins | - | 27 | 26.2 | 9.7 | 8.7 | 1.3 | 1.3 | 0.5 | 0.9 | 7.9 | 12.6 | 87 | 3.2 | 3.8 | 46.7 | 0.0 | 66.7 | 0.54 | 51.4 | 46.7 |
| Annabella Yorio | - | 23 | 22.0 | 9.1 | 6.7 | 1.0 | 1.0 | 0.9 | 1.7 | 7.9 | 9.2 | 67 | 2.9 | 4.0 | 39.8 | 28.6 | 72.9 | 0.4 | 48.1 | 40.9 |
| Emma Waite | - | 27 | 25.6 | 9.0 | 2.7 | 3.6 | 1.5 | 0.2 | 1.9 | 9.7 | 5.4 | 100 | 3.7 | 4.5 | 34.1 | 35.7 | 61.3 | 0.72 | 44.2 | 42.9 |
| Elizabeth Majka | - | 25 | 20.3 | 9.0 | 4.3 | 1.0 | 0.6 | 0.8 | 1.9 | 7.1 | 6.6 | 79 | 3.2 | 5.0 | 53.7 | 20.0 | 64.7 | 0.61 | 56.2 | 54.0 |
| Zoraida Icabalceta | - | 27 | 27.7 | 8.8 | 2.8 | 3.2 | 1.4 | 0.5 | 2.4 | 7.7 | 6.7 | 96 | 2.9 | 3.6 | 41.5 | 33.7 | 80.5 | 0.84 | 52.7 | 49.3 |
| Madison Gill | - | 26 | 13.7 | 5.6 | 1.5 | 0.4 | 0.5 | 0.1 | 1.0 | 5.1 | 2.0 | 15 | 0.5 | 0.9 | 42.9 | 35.3 | 66.7 | -0.31 | 51.3 | 49.6 |
| Tori Drevna | - | 27 | 15.0 | 5.2 | 2.9 | 1.2 | 0.6 | 0.0 | 1.4 | 6.0 | 2.6 | 6 | 0.2 | 0.3 | 30.2 | 34.1 | 66.7 | -0.24 | 41.2 | 39.5 |
| Junie Dickson | - | 24 | 14.7 | 3.2 | 2.1 | 1.2 | 1.0 | 0.2 | 1.2 | 4.7 | 2.0 | 45 | 1.9 | 3.4 | 26.8 | 21.0 | 57.1 | 0.44 | 33.5 | 32.6 |
| Jillian Payne | - | 24 | 8.2 | 1.5 | 1.1 | 0.5 | 0.2 | 0.0 | 0.3 | 2.4 | 0.7 | -24 | -1.2 | -3.4 | 20.7 | 17.1 | 85.7 | -0.39 | 30.3 | 26.7 |
| Aila Dervisevic | - | 27 | 4.9 | 1.2 | 0.7 | 0.0 | 0.3 | 0.2 | 0.3 | 1.8 | 0.3 | 30 | 1.1 | 4.0 | 22.4 | 25.6 | 0.0 | 0.06 | 31.5 | 32.7 |
| Grace McNamara | - | 27 | 3.1 | 1.0 | 0.9 | 0.3 | 0.2 | 0.1 | 0.2 | 0.9 | 1.3 | -5 | -0.2 | -0.6 | 44.0 | 0 | 50.0 | -0.06 | 45.9 | 44.0 |
| Avery McPeek | - | 27 | 4.7 | 0.9 | 1.8 | 0.2 | 0.1 | 0.0 | 0.2 | 0.6 | 2.2 | 4 | 0.1 | 0.4 | 60.0 | 0 | 55.6 | -0.32 | 60.7 | 60.0 |
| Natalie Tucker | - | 27 | 2.3 | 0.7 | 0.1 | 0.1 | 0.0 | 0.0 | 0.2 | 0.9 | -0.1 | 19 | 1.1 | 2.9 | 33.3 | 9.1 | 50.0 | -0.02 | 36.2 | 35.4 |
| Madalyn Barrows | - | 25 | 2.6 | 0.7 | 0.5 | 0.1 | 0.2 | 0.1 | 0.3 | 0.8 | 0.5 | -3 | -0.1 | -0.5 | 36.8 | 18.2 | 100.0 | -0.42 | 45.3 | 42.1 |
| Mary Bernat | - | 20 | 1.8 | 0.6 | 0.6 | 0.1 | 0.3 | 0.0 | 0.5 | 0.6 | 0.5 | 17 | 1.3 | 4.2 | 36.4 | 0 | 60.0 | 0.29 | 41.7 | 36.4 |
| Simone Pintinalli | - | 26 | 1.9 | 0.5 | 0.1 | 0.1 | 0.2 | 0.0 | 0.2 | 0.7 | 0.0 | 29 | 1.9 | 9.8 | 29.4 | 36.4 | 0 | 0.41 | 41.2 | 41.2 |
| Kenzie Perluke | - | 26 | 1.3 | 0.3 | 0.4 | 0.2 | 0.1 | 0.0 | 0.1 | 0.5 | 0.4 | 27 | 2.1 | 7.1 | 25.0 | 20.0 | 0 | 0.63 | 29.2 | 29.2 |
| Olivia Stevens | - | 26 | 1.3 | 0.2 | 0.4 | 0.1 | 0.1 | 0.0 | 0.1 | 0.3 | 0.4 | 18 | 2.0 | 13.9 | 25.0 | 25.0 | 50.0 | 0.02 | 33.8 | 31.2 |
| Isabella Mittelman | - | 26 | 2.5 | 0.2 | 0.1 | 0.1 | 0.2 | 0.0 | 0.2 | 0.3 | 0.2 | 9 | 0.8 | 4.7 | 25.0 | 0.0 | 20.0 | 0.04 | 24.5 | 25.0 |
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