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 → | 1101 (#72) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1187 (#36) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +49.8 (#1) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.998 (#132) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.998 (#12) | NetEff +48.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 1.000 (#26) | AdjNet +66.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 1.000 (#37) | AdjNet +65.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.982 (#25) | AdjO 91.3 | AdjD 47.2 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-08 | vs | MIT | W | 80 - 39 |
| 2024-11-09 | vs | Babson | W | 65 - 36 |
| 2024-11-15 | vs | Kean | W | 105 - 36 |
| 2024-11-17 | @ | Merchant Marine | W | 96 - 65 |
| 2024-11-24 | vs | Colby | W | 90 - 56 |
| 2024-12-06 | vs | SUNY Cobleskill | W | 119 - 55 |
| 2024-12-08 | @ | Tufts | W | 97 - 50 |
| 2024-12-11 | @ | Brooklyn | W | 104 - 40 |
| 2024-12-29 | vs | Middlebury | W | 73 - 49 |
| 2025-01-02 | vs | Nazareth | W | 109 - 40 |
| 2025-01-04 | @ | Skidmore | W | 100 - 54 |
| 2025-01-11 | vs | Brandeis | W | 95 - 41 |
| 2025-01-17 | vs | Emory | W | 83 - 52 |
| 2025-01-19 | vs | Rochester (NY) | W | 101 - 68 |
| 2025-01-24 | @ | Carnegie Mellon | W | 91 - 62 |
| 2025-01-26 | @ | CWRU | W | 107 - 31 |
| 2025-01-31 | @ | UChicago | W | 76 - 49 |
| 2025-02-02 | @ | WashU | W | 80 - 46 |
| 2025-02-07 | vs | UChicago | W | 80 - 58 |
| 2025-02-09 | vs | WashU | W | 77 - 58 |
| 2025-02-14 | @ | Emory | W | 67 - 40 |
| 2025-02-16 | @ | Rochester (NY) | W | 87 - 58 |
| 2025-02-21 | vs | Carnegie Mellon | W | 83 - 52 |
| 2025-02-23 | vs | CWRU | W | 86 - 62 |
| 2025-03-01 | @ | Brandeis | W | 89 - 58 |
| 2025-03-07 | vs | Gallaudet | W | 102 - 62 |
| 2025-03-08 | vs | Trinity (CT) | W | 83 - 45 |
| 2025-03-14 | vs | SUNY Geneseo | W | 74 - 53 |
| 2025-03-15 | @ | Gettysburg | W | 76 - 51 |
| 2025-03-20 | vs | Wis.-Stout | W | 74 - 55 |
| 2025-03-22 | vs | Smith | W | 77 - 49 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Bruns | - | 31 | 26.2 | 17.2 | 6.5 | 5.3 | 2.2 | 2.9 | 2.3 | 12.4 | 19.4 | 261 | 8.2 | 9.8 | 58.1 | 36.8 | 79.5 | 1.53 | 63.4 | 60.8 |
| Belle Pellecchia | - | 31 | 25.9 | 14.6 | 4.1 | 3.9 | 3.6 | 0.4 | 1.9 | 9.9 | 14.9 | 237 | 7.6 | 8.7 | 58.8 | 26.9 | 77.3 | 1.2 | 63.7 | 59.9 |
| Caroline Peper | - | 31 | 25.5 | 11.8 | 2.0 | 2.9 | 1.1 | 0.5 | 1.3 | 9.5 | 7.5 | 189 | 5.9 | 5.5 | 45.7 | 38.3 | 93.3 | 1.11 | 59.8 | 57.7 |
| Jamie Behar | - | 31 | 20.0 | 9.7 | 4.5 | 1.7 | 0.9 | 0.7 | 1.2 | 7.8 | 8.5 | 172 | 5.4 | 8.1 | 46.9 | 36.8 | 80.8 | 0.96 | 59.4 | 57.9 |
| Brooke Batchelor | - | 31 | 24.5 | 9.1 | 6.1 | 1.6 | 1.6 | 0.3 | 1.3 | 7.5 | 10.0 | 232 | 7.2 | 7.2 | 48.3 | 24.4 | 72.5 | 1.95 | 55.6 | 53.0 |
| Mary kate Fahey | - | 3 | 11.7 | 9.0 | 0.7 | 0.3 | 0.7 | 0.0 | 0.7 | 5.0 | 5.0 | 87 | 2.7 | 5.5 | 66.7 | 70.0 | 0 | 0.09 | 90.0 | 90.0 |
| Paika Van der maas | - | 1 | 7.0 | 7.0 | 1.0 | 1.0 | 3.0 | 0.0 | 0.0 | 3.0 | 9.0 | 35 | 1.8 | 14.3 | 33.3 | 100.0 | 100.0 | 0.12 | 73.5 | 50.0 |
| Zahra Alexander | - | 31 | 10.5 | 3.4 | 0.8 | 0.4 | 0.3 | 0.0 | 0.4 | 2.4 | 2.1 | 126 | 3.9 | 6.6 | 56.2 | 44.4 | 55.6 | 1.75 | 59.7 | 58.9 |
| Yasmene Clark | - | 31 | 5.0 | 2.7 | 1.8 | 0.2 | 0.3 | 0.1 | 0.6 | 2.0 | 2.5 | 33 | 1.1 | 3.3 | 49.2 | 0 | 56.8 | 0.42 | 52.3 | 49.2 |
| Eden Williamson | - | 31 | 14.8 | 2.6 | 2.6 | 1.2 | 1.3 | 0.1 | 0.6 | 2.5 | 4.6 | 208 | 5.0 | 8.3 | 39.7 | 16.7 | 57.7 | 1.65 | 45.3 | 42.3 |
| Alexia Mousouroulis | - | 30 | 3.6 | 1.9 | 0.7 | 0.6 | 0.3 | 0.0 | 0.2 | 1.1 | 2.3 | -4 | -0.1 | -1.5 | 50.0 | 55.6 | 80.8 | -0.28 | 66.8 | 57.8 |
| Katherine Peek | - | 8 | 5.0 | 1.5 | 0.5 | 0.5 | 0.5 | 0.1 | 0.4 | 2.0 | 0.8 | 15 | 0.9 | 0.7 | 25.0 | 30.8 | 0 | 0.51 | 37.5 | 37.5 |
| Maria Alvarado | - | 26 | 3.7 | 1.0 | 1.2 | 0.5 | 0.4 | 0.1 | 0.4 | 0.7 | 2.1 | 27 | 2.5 | 7.3 | 41.2 | 100.0 | 75.0 | 0.18 | 56.2 | 44.1 |
| Kelsey Dubois | - | 2 | 4.5 | 1.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.5 | 1.5 | 0.0 | -1 | -0.0 | -0.4 | 0.0 | 0.0 | 100.0 | -0.24 | 25.8 | 0.0 |
| Caitlin Kenney | - | 30 | 4.3 | 0.9 | 1.8 | 0.4 | 0.3 | 0.3 | 0.4 | 0.8 | 2.3 | 8 | 0.3 | 1.1 | 45.8 | 0.0 | 66.7 | 1.0 | 48.8 | 45.8 |
| Chloe Teter | - | 31 | 2.3 | 0.9 | 0.1 | 0.2 | 0.2 | 0.0 | 0.2 | 0.9 | 0.4 | 25 | 0.8 | 7.0 | 42.9 | 26.7 | 50.0 | 0.1 | 50.2 | 50.0 |
| Josie Munson | - | 23 | 1.4 | 0.7 | 0.5 | 0.1 | 0.1 | 0.0 | 0.3 | 0.5 | 0.7 | 29 | 2.9 | 7.1 | 45.5 | 0.0 | 63.6 | 0.42 | 53.7 | 45.5 |
| Olive Batch | - | 24 | 1.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.1 | 0.5 | 0.1 | -11 | -1.0 | -7.9 | 27.3 | 11.1 | 0 | -0.05 | 31.8 | 31.8 |
| Madison Goodhart | - | 18 | 0.4 | 0.1 | 0.2 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.3 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
| Serenity Mcnair | - | 2 | 4.0 | 0.0 | 0.5 | 0.5 | 0.5 | 0.0 | 1.0 | 1.5 | -1.0 | 51 | 1.5 | 12.7 | 0.0 | 0 | 0 | 0.34 | 0.0 | 0.0 |
| Maya Bateau | - | 25 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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