Ithaca
Model Outputs
2023-2024
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 → | +7.1 (#100) | HCA +2.4 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-09 | @ | Cortland | W | 70 - 69 |
| 2023-11-13 | vs | Trinity (CT) | L | 50 - 61 |
| 2023-11-18 | @ | FDU-Florham | W | 94 - 46 |
| 2023-11-19 | @ | Emmanuel (MA) | W | 76 - 68 |
| 2023-11-28 | @ | St. John Fisher | W | 69 - 55 |
| 2023-12-01 | @ | Vassar | L | 68 - 76 |
| 2023-12-02 | @ | Bard | W | 73 - 52 |
| 2023-12-06 | vs | Rochester (NY) | W | 62 - 54 |
| 2023-12-09 | @ | SUNY New Paltz | W | 74 - 73 |
| 2024-01-05 | vs | Union (NY) | W | 70 - 43 |
| 2024-01-06 | vs | William Smith | W | 76 - 38 |
| 2024-01-09 | vs | RIT | W | 79 - 52 |
| 2024-01-12 | @ | Clarkson | W | 72 - 59 |
| 2024-01-13 | @ | St. Lawrence | W | 64 - 59 |
| 2024-01-19 | vs | Rensselaer | W | 61 - 60 |
| 2024-01-20 | vs | Skidmore | L | 59 - 66 |
| 2024-01-26 | @ | William Smith | W | 78 - 56 |
| 2024-01-27 | @ | Union (NY) | W | 54 - 53 |
| 2024-02-02 | @ | Skidmore | L | 26 - 50 |
| 2024-02-03 | @ | Rensselaer | W | 72 - 62 |
| 2024-02-06 | @ | RIT | W | 70 - 52 |
| 2024-02-09 | vs | St. Lawrence | W | 60 - 51 |
| 2024-02-10 | vs | Clarkson | W | 63 - 46 |
| 2024-02-16 | vs | Bard | W | 91 - 36 |
| 2024-02-17 | vs | Vassar | L | 59 - 66 |
| 2024-02-20 | vs | RIT | W | 78 - 59 |
| 2024-02-23 | @ | Skidmore | L | 62 - 66 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| JUNE DICKSON | - | 2 | 30.5 | 19.5 | 2.0 | 4.0 | 3.0 | 0.5 | 2.5 | 16.0 | 10.5 | - | - | - | 43.8 | 52.9 | 100.0 | -0.03 | 59.3 | 57.8 |
| Junie Dickson | - | 25 | 27.1 | 11.6 | 3.7 | 2.1 | 1.8 | 0.4 | 1.6 | 11.1 | 6.8 | - | - | - | 41.4 | 27.9 | 85.3 | -0.03 | 49.5 | 46.9 |
| Camryn Coffey | - | 25 | 25.6 | 10.9 | 2.6 | 1.2 | 1.2 | 0.5 | 2.1 | 8.2 | 6.2 | - | - | - | 47.1 | 39.8 | 79.3 | -0.21 | 59.5 | 55.6 |
| Annabella Yorio | - | 22 | 20.3 | 9.7 | 6.8 | 1.0 | 0.8 | 0.5 | 1.7 | 8.9 | 8.3 | - | - | - | 42.6 | 0.0 | 61.5 | -0.14 | 46.7 | 42.6 |
| Anya Watkins | - | 25 | 24.0 | 8.9 | 7.6 | 1.3 | 1.1 | 0.2 | 1.4 | 8.0 | 9.8 | 17 | 2.4 | 9.6 | 46.7 | 0 | 52.2 | -0.01 | 48.4 | 46.7 |
| Hannah Polce | - | 25 | 24.7 | 7.1 | 4.2 | 2.6 | 1.6 | 0.1 | 1.3 | 7.5 | 6.8 | - | - | - | 37.2 | 29.3 | 81.2 | -0.06 | 44.0 | 40.4 |
| Tori Drevna | - | 25 | 15.6 | 4.7 | 2.5 | 1.3 | 1.0 | 0.1 | 1.0 | 5.0 | 3.5 | -17 | -1.4 | -2.0 | 31.2 | 32.0 | 88.5 | 0.12 | 42.9 | 37.6 |
| Zoraida Icabalceta | - | 19 | 18.1 | 4.1 | 2.6 | 2.6 | 0.5 | 0.2 | 1.3 | 3.5 | 5.2 | 9 | 0.9 | 1.4 | 47.8 | 35.7 | 81.8 | 0.21 | 54.3 | 51.5 |
| Jillian Payne | - | 25 | 12.8 | 2.3 | 1.9 | 0.6 | 0.4 | 0.0 | 0.6 | 3.1 | 1.4 | - | - | - | 25.6 | 20.9 | 61.5 | -0.33 | 34.0 | 31.4 |
| Graycen Dubin | - | 25 | 8.2 | 2.2 | 1.6 | 0.6 | 0.3 | 0.4 | 0.7 | 2.2 | 2.2 | - | - | - | 45.5 | 15.8 | 42.9 | - | 48.2 | 48.2 |
| HANNAH POLCE | - | 2 | 28.5 | 2.0 | 2.5 | 2.0 | 1.0 | 0.0 | 1.5 | 6.0 | 0.0 | - | - | - | 16.7 | 0.0 | 0 | -0.06 | 16.7 | 16.7 |
| Avery McPeek | - | 25 | 7.9 | 1.8 | 2.2 | 0.4 | 0.6 | 0.2 | 0.4 | 1.5 | 3.3 | -79 | -7.2 | -11.3 | 42.1 | 0.0 | 65.0 | -0.77 | 48.1 | 42.1 |
| Grace McNamara | - | 25 | 3.4 | 1.6 | 0.9 | 0.1 | 0.2 | 0.1 | 0.3 | 1.4 | 1.2 | 5 | 0.5 | 1.0 | 44.4 | 0.0 | 63.6 | -0.14 | 47.7 | 44.4 |
| Shana Desir | - | 9 | 2.4 | 1.2 | 0.7 | 0.1 | 0.3 | 0.1 | 0.1 | 0.8 | 1.6 | - | - | - | 71.4 | 0 | 50.0 | - | 69.8 | 71.4 |
| Isabella Mittelman | - | 25 | 4.0 | 0.7 | 0.6 | 0.2 | 0.2 | 0.1 | 0.3 | 0.7 | 0.8 | - | - | - | 35.3 | 37.5 | 100.0 | - | 47.5 | 44.1 |
| Aila Dervisevic | - | 25 | 2.4 | 0.7 | 0.3 | 0.2 | 0.2 | 0.0 | 0.2 | 0.8 | 0.4 | -1 | -0.1 | -0.3 | 33.3 | 26.7 | 0 | -0.11 | 42.9 | 42.9 |
| ELIZABETH MAJKA | - | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| SHAE SABINO | - | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| JILLIAN PAYNE | - | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | -0.33 | 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