Rensselaer
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 → | 988 (#261) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1039 (#188) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.7 (#220) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.486 (#459) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.656 (#181) | NetEff +4.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.406 (#408) | AdjNet -3.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.410 (#402) | AdjNet -3.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.439 (#410) | AdjO 59.3 | AdjD 62.0 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-08 | vs | Plattsburgh St. | W | 57 - 48 |
| 2024-11-09 | vs | SUNY Potsdam | W | 63 - 44 |
| 2024-11-13 | vs | Coast Guard | W | 53 - 50 |
| 2024-11-17 | @ | SUNY Cobleskill | L | 88 - 92 |
| 2024-11-22 | @ | Hartwick | W | 76 - 59 |
| 2024-11-23 | @ | Me.-Farmington | W | 75 - 70 |
| 2024-11-27 | @ | UAlbany | L | 42 - 90 |
| 2024-12-06 | @ | St. Lawrence | W | 73 - 65 |
| 2024-12-07 | @ | Clarkson | W | 68 - 55 |
| 2024-12-30 | vs | VTSU Castleton | W | 71 - 46 |
| 2025-01-04 | @ | William Smith | L | 48 - 54 |
| 2025-01-10 | vs | Skidmore | L | 52 - 59 |
| 2025-01-11 | vs | RIT | L | 44 - 58 |
| 2025-01-14 | vs | William Smith | W | 73 - 42 |
| 2025-01-17 | @ | Vassar | L | 57 - 58 |
| 2025-01-18 | @ | Bard | W | 71 - 42 |
| 2025-01-24 | vs | Ithaca | L | 55 - 58 |
| 2025-01-25 | vs | Union (NY) | L | 59 - 63 |
| 2025-01-31 | @ | RIT | L | 58 - 59 |
| 2025-02-02 | @ | Skidmore | L | 37 - 68 |
| 2025-02-07 | @ | Union (NY) | L | 46 - 59 |
| 2025-02-08 | @ | Ithaca | L | 59 - 85 |
| 2025-02-14 | vs | Bard | W | 87 - 40 |
| 2025-02-15 | vs | Vassar | L | 64 - 75 |
| 2025-02-21 | vs | Clarkson | L | 55 - 59 |
| 2025-02-22 | vs | St. Lawrence | L | 40 - 62 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Siena Smith | - | 24 | 26.0 | 11.2 | 5.4 | 1.8 | 1.7 | 0.7 | 1.8 | 8.8 | 10.1 | 116 | 4.8 | 5.4 | 49.1 | 35.4 | 61.1 | 0.66 | 55.2 | 53.1 |
| Callie Flynn | - | 24 | 17.0 | 7.7 | 4.8 | 0.2 | 0.5 | 1.6 | 1.3 | 6.7 | 6.8 | 89 | 3.6 | 6.2 | 50.3 | 0 | 63.9 | 0.69 | 52.3 | 50.3 |
| Amanda Gallagher | - | 21 | 17.3 | 6.7 | 3.5 | 0.8 | 1.1 | 0.8 | 1.2 | 6.9 | 4.9 | - | - | - | 36.6 | 21.9 | 73.7 | - | 43.6 | 39.0 |
| Tyler Hormazabal | - | 26 | 27.2 | 6.3 | 3.7 | 3.5 | 2.2 | 0.2 | 3.0 | 6.5 | 6.3 | 153 | 5.3 | 6.2 | 34.1 | 20.4 | 75.0 | 0.6 | 42.6 | 37.4 |
| Ashlyn O'neil | - | 2 | 15.0 | 6.0 | 4.5 | 1.5 | 0.0 | 0.0 | 3.0 | 4.5 | 4.5 | 24 | 1.0 | 1.8 | 11.1 | 0 | 100.0 | -0.01 | 44.8 | 11.1 |
| Sophie Costello | - | 26 | 16.7 | 4.6 | 1.8 | 1.5 | 1.3 | 0.1 | 2.1 | 5.1 | 2.1 | 72 | 2.5 | 3.7 | 28.6 | 20.0 | 66.7 | -0.13 | 38.3 | 32.0 |
| Julia Rowe | - | 26 | 24.4 | 4.5 | 5.2 | 2.2 | 1.2 | 0.7 | 1.9 | 4.7 | 7.2 | 78 | 3.4 | 4.1 | 33.3 | 25.0 | 67.6 | 0.55 | 42.4 | 37.8 |
| Emilia Rojik | - | 26 | 14.7 | 4.2 | 2.8 | 0.5 | 0.6 | 0.2 | 1.1 | 4.5 | 2.7 | 77 | 3.0 | 5.7 | 37.6 | 38.5 | 70.8 | 0.57 | 43.1 | 39.7 |
| Marley Mueller | - | 23 | 12.2 | 4.1 | 3.0 | 0.6 | 0.4 | 0.0 | 1.3 | 5.0 | 1.8 | 15 | 0.9 | 1.9 | 36.2 | 7.1 | 39.1 | 0.05 | 37.3 | 36.6 |
| Brooke Boyle | - | 25 | 5.0 | 2.0 | 1.2 | 0.3 | 0.3 | 0.1 | 0.2 | 1.5 | 2.1 | 51 | 2.7 | 6.0 | 45.9 | 8.3 | 60.9 | -0.04 | 52.0 | 47.3 |
| Molly Libby | - | 24 | 7.5 | 2.0 | 0.9 | 0.5 | 0.2 | 0.0 | 0.7 | 2.5 | 0.5 | 45 | 1.7 | 5.3 | 31.1 | 32.0 | 100.0 | -0.24 | 39.3 | 37.7 |
| Sydney Blaney | - | 25 | 9.2 | 1.8 | 0.8 | 0.8 | 0.3 | 0.0 | 0.9 | 3.0 | -0.1 | 59 | 2.3 | 6.0 | 20.3 | 25.0 | 53.3 | 0.42 | 28.5 | 25.7 |
| Ava Gallup | - | 25 | 1.4 | 1.1 | 0.5 | 0.0 | 0.0 | 0.1 | 0.1 | 0.6 | 1.0 | - | - | - | 62.5 | 80.0 | 100.0 | - | 77.9 | 75.0 |
| Ava Letizia | - | 25 | 2.2 | 0.8 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 0.8 | 0.3 | 28 | 2.5 | 18.0 | 40.0 | 0.0 | 75.0 | 0.18 | 43.7 | 40.0 |
| Simran Randhawa | - | 16 | 1.1 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.1 | 0.6 | 0.2 | 25 | 3.1 | 34.8 | 40.0 | 40.0 | 0 | 0.05 | 60.0 | 60.0 |
| Calissa Tyrrell | - | 25 | 4.6 | 0.7 | 0.7 | 0.2 | 0.1 | 0.1 | 0.2 | 1.0 | 0.8 | 9 | 0.6 | 2.7 | 33.3 | 0.0 | 100.0 | 0.04 | 36.2 | 33.3 |
| Jessica Sterbens | - | 25 | 1.7 | 0.2 | 0.4 | 0.0 | 0.0 | 0.1 | 0.2 | 0.4 | 0.0 | - | - | - | 18.2 | 0.0 | 40.0 | - | 22.7 | 18.2 |
| Megan Heyns | - | 25 | 2.5 | 0.2 | 0.4 | 0.2 | 0.1 | 0.0 | 0.3 | 0.7 | -0.0 | 40 | 2.9 | 12.5 | 11.8 | 0.0 | 50.0 | -0.29 | 14.0 | 11.8 |
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