Ithaca
Model Outputs
2026-2027
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 → | 893 (#268) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 882 (#274) | HCA +60 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 931 (#273) | HCA +60 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -8.9 (#267) | HCA +3.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -8.8 (#268) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.154 (#269) | - |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.334 (#271) | AdjO 60.6 | AdjD 65.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.362 (#270) | AdjO 60.6 | AdjD 65.3 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 861 (#275) | RD 218 | GP 1 |
2026-2027 Schedule & Results
2026-2027 Roster
Estimated Minutes by Position
Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Tucker | - | 1 | 29.3 | 14.0 | 1.0 | 5.0 | 2.0 | 0.0 | 2.0 | 11.0 | 9.0 | - | - | - | - | 45.5 | 40.0 | 100.0 | - | 58.9 | 54.5 |
| Simone Pintinalli | - | 1 | 25.8 | 12.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 | 3.0 | - | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
| Tori Drevna | - | 1 | 32.2 | 10.0 | 7.0 | 4.0 | 1.0 | 1.0 | 2.0 | 11.0 | 10.0 | - | - | - | - | 36.4 | 40.0 | 0 | - | 45.5 | 45.5 |
| Madison Gill | - | 1 | 22.1 | 9.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | 9.0 | -3.0 | - | - | - | - | 33.3 | 33.3 | 50.0 | - | 45.5 | 44.4 |
| Mary Bernat | - | 1 | 28.1 | 5.0 | 13.0 | 1.0 | 4.0 | 1.0 | 2.0 | 5.0 | 17.0 | - | - | - | - | 40.0 | 0 | 25.0 | - | 37.0 | 40.0 |
| Grace McNamara | - | 1 | 14.2 | 4.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 3.0 | 3.0 | - | - | - | - | 33.3 | 0.0 | 100.0 | - | 51.5 | 33.3 |
| Ava Paone | - | 1 | 12.3 | 4.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 7.0 | -1.0 | - | - | - | - | 28.6 | 0.0 | 0 | - | 28.6 | 28.6 |
| Sonya Benhassen | - | 1 | 16.4 | 3.0 | 3.0 | 1.0 | 3.0 | 4.0 | 2.0 | 5.0 | 7.0 | - | - | - | - | 20.0 | 0 | 50.0 | - | 25.5 | 20.0 |
| Lily Wohlleber | - | 1 | 11.9 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
| Kenzie Perluke | - | 1 | 7.8 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | - | - | - | - | 0.0 | 0.0 | 100.0 | - | 53.2 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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