Ithaca
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 → | 1036 (#154) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1014 (#314) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 867 (#641) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.3 (#158) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.7 (#451) | HCA +2.9 |
| 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 → | 0.538 (#347) | NetEff +1.1 |
| 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 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.414 (#522) | AdjO 59.5 | AdjD 63.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.374 (#479) | 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 → | 0.361 (#496) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 821 (#476) | RD 102 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | Colgate | L | 45 - 66 |
| 2025-11-11 | @ | St. John Fisher | W | 58 - 52 |
| 2025-11-13 | @ | Cortland | L | 44 - 73 |
| 2025-11-15 | @ | SUNY New Paltz | L | 65 - 72 |
| 2025-11-21 | @ | Fredonia | W | 65 - 59 |
| 2025-11-22 | @ | SUNY Brockport | L | 75 - 80 |
| 2025-12-02 | vs | Rochester (NY) | L | 70 - 80 |
| 2025-12-09 | @ | William Smith | W | 81 - 40 |
| 2026-01-10 | vs | Union (NY) | L | 51 - 58 |
| 2026-01-13 | vs | William Smith | W | 66 - 57 |
| 2026-01-16 | vs | Rensselaer | L | 49 - 60 |
| 2026-01-17 | vs | Bard | W | 71 - 45 |
| 2026-01-23 | @ | Clarkson | L | 69 - 79 |
| 2026-01-24 | @ | St. Lawrence | L | 72 - 80 |
| 2026-01-30 | @ | Union (NY) | L | 53 - 69 |
| 2026-01-31 | @ | RIT | L | 55 - 80 |
| 2026-02-06 | vs | St. Lawrence | L | 55 - 58 |
| 2026-02-07 | vs | Clarkson | L | 59 - 68 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Presleigh Brunner | - | 1 | 37.0 | 26.0 | 6.0 | 1.0 | 0.0 | 0.0 | 4.0 | 21.0 | 8.0 | 47 | 2.9 | 12.5 | 52.4 | 28.6 | 100.0 | 1.04 | 59.4 | 57.1 |
| Tori Drevna | - | 16 | 25.9 | 12.2 | 5.6 | 2.8 | 2.0 | 0.4 | 2.8 | 13.3 | 6.9 | -38 | -2.0 | -10.2 | 35.2 | 35.7 | 66.7 | -1.23 | 43.8 | 42.3 |
| GILL, Madison | - | 1 | 21.0 | 11.0 | 0.0 | 1.0 | 3.0 | 0.0 | 1.0 | 11.0 | 3.0 | - | - | - | 45.5 | 33.3 | 0 | - | 50.0 | 50.0 |
| MCNAMARA, Grace | - | 1 | 17.0 | 11.0 | 4.0 | 1.0 | 1.0 | 0.0 | 4.0 | 7.0 | 6.0 | - | - | - | 42.9 | 0 | 83.3 | - | 57.1 | 42.9 |
| Zoraida Icabalceta | - | 12 | 23.8 | 9.2 | 3.8 | 3.4 | 0.7 | 0.2 | 2.1 | 8.2 | 7.0 | -44 | -2.9 | -11.7 | 45.9 | 26.3 | 84.6 | 0.76 | 53.5 | 51.0 |
| Madison Gill | - | 16 | 22.9 | 9.1 | 2.4 | 1.1 | 0.6 | 0.1 | 1.2 | 9.6 | 2.5 | -22 | -1.2 | -6.4 | 37.7 | 32.4 | 40.0 | 0.43 | 44.8 | 44.8 |
| Grace McNamara | - | 16 | 20.3 | 7.2 | 4.4 | 1.3 | 0.9 | 0.3 | 0.8 | 6.4 | 7.1 | 15 | 0.8 | 5.6 | 45.6 | 33.3 | 79.2 | 0.42 | 51.1 | 47.1 |
| Valerosa Gambitta | - | 1 | 37.0 | 7.0 | 10.0 | 2.0 | 2.0 | 0.0 | 0.0 | 9.0 | 12.0 | 61 | 3.6 | 16.7 | 33.3 | 33.3 | 0 | 1.06 | 38.9 | 38.9 |
| DREVNA, Tori | - | 1 | 28.0 | 7.0 | 3.0 | 1.0 | 0.0 | 0.0 | 3.0 | 12.0 | -4.0 | - | - | - | 25.0 | 20.0 | 0 | - | 29.2 | 29.2 |
| Danielle Seamon | - | 1 | 28.0 | 6.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0 | 7.0 | 9.0 | 13 | 0.8 | 5.7 | 42.9 | 0.0 | 0 | -0.94 | 42.9 | 42.9 |
| Hannah Ferguson | - | 1 | 33.0 | 5.0 | 3.0 | 2.0 | 1.0 | 1.0 | 1.0 | 7.0 | 4.0 | 51 | 2.8 | 16.9 | 28.6 | 0.0 | 50.0 | 0.29 | 31.7 | 28.6 |
| Natalie Tucker | - | 16 | 19.5 | 4.9 | 1.5 | 1.6 | 0.6 | 0.0 | 0.9 | 5.2 | 2.5 | -58 | -3.1 | -24.9 | 38.6 | 29.0 | 83.3 | -1.07 | 45.5 | 44.0 |
| Avery McPeek | - | 15 | 19.1 | 4.3 | 3.5 | 0.9 | 0.4 | 0.1 | 1.0 | 3.4 | 4.7 | -51 | -2.8 | -18.0 | 45.1 | 0.0 | 75.0 | -1.79 | 52.0 | 45.1 |
| Mary Bernat | - | 15 | 14.5 | 4.1 | 3.7 | 1.3 | 1.2 | 0.9 | 2.0 | 3.9 | 5.5 | -16 | -0.9 | -10.6 | 44.8 | 0 | 58.8 | -3.15 | 47.3 | 44.8 |
| Julia Perales | - | 1 | 25.0 | 4.0 | 3.0 | 1.0 | 0.0 | 0.0 | 4.0 | 4.0 | 0.0 | 52 | 3.7 | 18.0 | 25.0 | 25.0 | 50.0 | 1.9 | 41.0 | 37.5 |
| BARROWS, Madalyn | - | 1 | 30.0 | 4.0 | 1.0 | 0.0 | 3.0 | 0.0 | 1.0 | 5.0 | 2.0 | - | - | - | 20.0 | 0.0 | 100.0 | - | 34.0 | 20.0 |
| Kenzie Perluke | - | 14 | 14.2 | 3.9 | 2.9 | 0.9 | 1.6 | 0.2 | 0.5 | 3.8 | 5.3 | -31 | -1.7 | -20.4 | 39.6 | 18.8 | 55.6 | -3.63 | 45.1 | 42.5 |
| Simone Pintinalli | - | 14 | 8.6 | 3.7 | 1.0 | 0.3 | 0.2 | 0.0 | 0.8 | 3.9 | 0.5 | 1 | 0.1 | 2.1 | 36.4 | 35.3 | 0 | -0.29 | 47.3 | 47.3 |
| Madalyn Barrows | - | 16 | 18.1 | 3.2 | 2.8 | 0.9 | 0.6 | 0.2 | 1.7 | 4.7 | 1.4 | -83 | -4.4 | -42.9 | 26.7 | 15.4 | 60.0 | -1.86 | 32.7 | 30.7 |
| PERLUKE, Kenzie | - | 1 | 12.0 | 3.0 | 1.0 | 0.0 | 3.0 | 1.0 | 0.0 | 3.0 | 5.0 | - | - | - | 33.3 | 0.0 | 50.0 | - | 38.7 | 33.3 |
| BERNAT, Mary | - | 1 | 18.0 | 3.0 | 4.0 | 0.0 | 0.0 | 1.0 | 1.0 | 4.0 | 3.0 | - | - | - | 25.0 | 0 | 50.0 | - | 30.7 | 25.0 |
| Lily Wohlleber | - | 11 | 7.5 | 2.3 | 1.5 | 0.3 | 0.3 | 0.0 | 0.5 | 1.7 | 2.0 | 15 | 1.2 | 31.4 | 63.2 | 0 | 16.7 | 0.81 | 57.8 | 63.2 |
| Natalie Mai | - | 1 | 18.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0.0 | 6.0 | 3.0 | -3.0 | 8 | 0.5 | 6.6 | 33.3 | 0.0 | 0.0 | -0.63 | 25.8 | 33.3 |
| Payton O'Dell | - | 1 | 12.0 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | 1.0 | 26 | 2.4 | 28.4 | 33.3 | 0 | 0 | 0.86 | 33.3 | 33.3 |
| TUCKER, Natalie | - | 1 | 25.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 | 4.0 | 3.0 | -1.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| MCPEEK, Avery | - | 1 | 16.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | 2.0 | - | - | - | 0.0 | 0 | 100.0 | - | 53.2 | 0.0 |
| Aila Dervisevic | - | 13 | 14.2 | 1.8 | 1.3 | 1.3 | 0.4 | 0.0 | 0.8 | 3.5 | 0.5 | 23 | 1.4 | 18.4 | 20.0 | 10.7 | 33.3 | 0.87 | 24.1 | 23.3 |
| Sonya Benhassen | - | 3 | 4.2 | 1.7 | 1.0 | 0.3 | 0.7 | 0.7 | 1.3 | 2.3 | 0.7 | - | - | - | 28.6 | 100.0 | 0 | - | 35.7 | 35.7 |
| Emma Phelan | - | 4 | 5.8 | 1.0 | 0.8 | 0.2 | 0.2 | 0.2 | 0.0 | 2.2 | 0.2 | -19 | -3.8 | -592.2 | 22.2 | 0.0 | 0 | 0.41 | 22.2 | 22.2 |
| PINTINALLI, Simone | - | 1 | 9.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 17.4 | 0.0 |
| Olivia Stevens | - | 6 | 5.2 | 0.8 | 0.7 | 0.8 | 0.7 | 0.0 | 0.0 | 1.0 | 2.0 | 20 | 3.3 | 623.4 | 33.3 | 0.0 | 33.3 | 0.41 | 34.2 | 33.3 |
| Megan Cassidy | - | 4 | 4.3 | 0.8 | 1.5 | 0.2 | 0.2 | 0.0 | 0.5 | 0.8 | 1.5 | -19 | -4.8 | -592.2 | 33.3 | 0 | 33.3 | 0.41 | 34.7 | 33.3 |
| Kate Mocho | - | 3 | 6.2 | 0.7 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -0.3 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
| Lili Shanahan | - | 6 | 2.6 | 0.3 | 0.3 | 0.2 | 0.0 | 0.0 | 0.2 | 0.8 | -0.2 | -18 | -3.6 | -561.0 | 20.0 | 0.0 | 0 | 0.41 | 20.0 | 20.0 |
| Alexa Gibson | - | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 35 | 2.2 | 78.8 | 0 | 0 | 0 | -1.77 | 0 | 0 |
| Leah Khuu | - | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 15 | 1.9 | 155.2 | 0 | 0 | 0 | 0.88 | 0 | 0 |
| Breanna Heidt | - | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13 | 0.8 | 8.7 | 0 | 0 | 0 | 1.24 | 0 | 0 |
| STEVENS, Olivia | - | 1 | 8.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| WOHLLEBER, Lily | - | 1 | 6.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| DERVISEVIC, Aila | - | 1 | 10.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 1.0 | -2.0 | - | - | - | 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