Union (NY)
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 → | 1098 (#79) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1125 (#76) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.9 (#188) | HCA +2.4 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-08 | vs | SUNY Cobleskill | L | 66 - 73 |
| 2023-11-11 | @ | SUNY New Paltz | L | 61 - 82 |
| 2023-11-13 | @ | Utica | W | 78 - 70 |
| 2023-11-27 | vs | Middlebury | L | 50 - 68 |
| 2023-12-01 | vs | William Smith | W | 49 - 33 |
| 2023-12-02 | vs | RIT | L | 64 - 68 |
| 2023-12-06 | @ | Bard | W | 63 - 40 |
| 2023-12-19 | @ | Albion | L | 36 - 56 |
| 2023-12-20 | @ | Loras | L | 32 - 72 |
| 2023-12-30 | @ | Russell Sage | L | 42 - 52 |
| 2024-01-05 | @ | Ithaca | L | 43 - 70 |
| 2024-01-06 | @ | Skidmore | L | 40 - 66 |
| 2024-01-09 | vs | Bard | W | 62 - 34 |
| 2024-01-12 | @ | St. Lawrence | L | 53 - 71 |
| 2024-01-13 | @ | Clarkson | W | 64 - 48 |
| 2024-01-19 | vs | Vassar | L | 60 - 70 |
| 2024-01-23 | vs | Rensselaer | W | 60 - 45 |
| 2024-01-26 | vs | Skidmore | L | 50 - 57 |
| 2024-01-27 | vs | Ithaca | L | 53 - 54 |
| 2024-02-02 | @ | Rensselaer | W | 59 - 42 |
| 2024-02-03 | @ | Vassar | L | 53 - 60 |
| 2024-02-09 | vs | Clarkson | W | 45 - 40 |
| 2024-02-10 | vs | St. Lawrence | W | 61 - 56 |
| 2024-02-16 | @ | RIT | W | 67 - 62 |
| 2024-02-17 | @ | William Smith | W | 60 - 55 |
| 2024-02-20 | @ | St. Lawrence | W | 64 - 58 |
| 2024-02-23 | @ | Vassar | L | 53 - 64 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jelena Perovic | - | 25 | 25.9 | 11.6 | 6.3 | 1.2 | 0.8 | 0.7 | 1.6 | 10.4 | 8.6 | 28 | 1.8 | 2.0 | 49.4 | 33.3 | 71.7 | 0.01 | 51.9 | 49.6 |
| Kennedy Clark | - | 26 | 27.8 | 7.9 | 3.3 | 2.4 | 1.4 | 0.0 | 2.1 | 7.7 | 5.2 | -19 | -1.1 | -2.3 | 33.3 | 29.5 | 66.2 | 0.16 | 44.4 | 39.8 |
| Jenna Forman | - | 27 | 20.6 | 6.9 | 6.6 | 0.5 | 0.8 | 1.6 | 1.6 | 6.5 | 8.2 | -2 | -0.4 | -0.8 | 41.1 | 25.7 | 63.5 | -0.05 | 47.0 | 43.7 |
| Emma Riley | - | 27 | 22.7 | 6.5 | 3.6 | 1.4 | 0.7 | 0.0 | 1.9 | 8.1 | 2.2 | -1 | -0.2 | -0.2 | 30.9 | 24.3 | 68.8 | -0.1 | 37.4 | 34.8 |
| Grace Enselek | - | 27 | 20.6 | 5.2 | 3.1 | 0.5 | 0.4 | 1.0 | 1.3 | 5.4 | 3.5 | - | - | - | 30.8 | 0.0 | 71.4 | -0.11 | 39.6 | 30.8 |
| Grace Arcoleo | - | 27 | 28.6 | 4.7 | 4.7 | 2.4 | 1.0 | 0.3 | 2.3 | 5.4 | 5.4 | 8 | 1.6 | 1.7 | 32.7 | 36.2 | 48.3 | -0.09 | 39.7 | 38.4 |
| Claudia Porto | - | 7 | 13.9 | 4.4 | 3.0 | 0.7 | 0.3 | 0.9 | 2.1 | 2.9 | 4.3 | - | - | - | 50.0 | 100.0 | 64.3 | - | 59.3 | 55.0 |
| Grace Ardito | - | 20 | 9.8 | 4.2 | 1.0 | 0.3 | 0.2 | 0.1 | 0.5 | 3.2 | 2.0 | 69 | 4.3 | 5.3 | 41.5 | 42.3 | 87.5 | 0.47 | 60.6 | 58.5 |
| Morgan Schultz | - | 27 | 6.9 | 1.9 | 1.3 | 0.2 | 0.1 | 0.1 | 0.6 | 1.7 | 1.3 | 47 | 3.9 | 9.8 | 46.8 | 0.0 | 61.5 | 0.35 | 49.3 | 46.8 |
| Casey Weeren | - | 27 | 5.6 | 1.8 | 0.9 | 0.3 | 0.3 | 0.0 | 0.2 | 2.1 | 0.9 | - | - | - | 27.6 | 21.9 | 75.0 | - | 37.9 | 33.6 |
| Talia Weinstock | - | 13 | 6.8 | 1.5 | 1.0 | 0.2 | 0.3 | 0.0 | 0.7 | 1.7 | 0.6 | - | - | - | 31.8 | 50.0 | 50.0 | - | 38.6 | 36.4 |
| Maddy Mandalinci | - | 27 | 8.4 | 1.5 | 0.8 | 0.3 | 0.3 | 0.1 | 0.7 | 2.0 | 0.2 | - | - | - | 22.6 | 14.3 | 77.8 | - | 32.8 | 24.5 |
| Sophia Poplyk | - | 24 | 7.6 | 1.5 | 0.6 | 0.1 | 0.2 | 0.1 | 0.5 | 1.9 | 0.2 | -35 | -7.0 | -15.4 | 28.9 | 37.5 | 61.5 | -0.43 | 36.5 | 32.2 |
| Maura Conan | - | 25 | 4.6 | 0.9 | 0.5 | 0.2 | 0.1 | 0.0 | 0.3 | 1.3 | 0.1 | - | - | - | 25.0 | 22.2 | 66.7 | - | 33.0 | 31.2 |
| Davita Honig | - | 26 | 5.7 | 0.7 | 0.3 | 0.5 | 0.2 | 0.0 | 0.4 | 0.7 | 0.5 | - | - | - | 27.8 | 30.8 | 75.0 | - | 43.0 | 38.9 |
| Ally Burke | - | 27 | 2.3 | 0.6 | 0.1 | 0.1 | 0.1 | 0.0 | 0.0 | 0.5 | 0.4 | -36 | -4.5 | -10.3 | 35.7 | 16.7 | 83.3 | 0.24 | 48.1 | 39.3 |
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