Emory
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 → | 1113 (#57) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1152 (#58) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +19.8 (#26) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.837 (#277) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.741 (#146) | NetEff +8.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.966 (#155) | AdjNet +28.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.967 (#155) | AdjNet +28.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.844 (#152) | AdjO 74.3 | AdjD 55.7 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-13 | @ | LaGrange | W | 70 - 66 |
| 2024-11-16 | vs | Wash. & Lee | L | 79 - 84 |
| 2024-11-17 | vs | Oberlin | W | 60 - 28 |
| 2024-11-23 | @ | Belhaven | W | 53 - 48 |
| 2024-11-24 | @ | Millsaps | L | 54 - 82 |
| 2024-11-30 | @ | Rhodes | W | 74 - 46 |
| 2024-12-01 | @ | Rhodes | W | 80 - 44 |
| 2024-12-29 | @ | Husson | W | 90 - 43 |
| 2024-12-30 | vs | Bowdoin | L | 49 - 65 |
| 2025-01-02 | vs | Piedmont | W | 100 - 57 |
| 2025-01-05 | @ | Oglethorpe | W | 81 - 61 |
| 2025-01-11 | vs | Rochester (NY) | L | 51 - 74 |
| 2025-01-17 | @ | NYU | L | 52 - 83 |
| 2025-01-19 | @ | Brandeis | W | 65 - 62 |
| 2025-01-24 | vs | UChicago | W | 52 - 47 |
| 2025-01-26 | vs | WashU | L | 56 - 67 |
| 2025-01-31 | vs | Carnegie Mellon | W | 77 - 67 |
| 2025-02-02 | vs | CWRU | W | 69 - 56 |
| 2025-02-07 | @ | Carnegie Mellon | L | 66 - 78 |
| 2025-02-09 | @ | CWRU | W | 73 - 58 |
| 2025-02-14 | vs | NYU | L | 40 - 67 |
| 2025-02-16 | vs | Brandeis | W | 77 - 69 |
| 2025-02-21 | @ | UChicago | W | 62 - 55 |
| 2025-02-23 | @ | WashU | L | 66 - 83 |
| 2025-03-01 | @ | Rochester (NY) | L | 56 - 61 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexandra Loucopoulos | - | 25 | 23.2 | 11.8 | 3.4 | 1.1 | 1.8 | 0.6 | 2.6 | 10.7 | 5.4 | 19 | 0.6 | 0.8 | 43.4 | 31.6 | 81.2 | 0.33 | 51.2 | 47.9 |
| Hanna Malik | - | 25 | 24.8 | 10.8 | 3.1 | 0.7 | 0.4 | 0.1 | 2.3 | 10.7 | 2.1 | -53 | -2.1 | -2.6 | 31.3 | 33.5 | 79.7 | -0.18 | 45.9 | 41.6 |
| Morgan Laudick | - | 18 | 19.2 | 7.6 | 6.4 | 0.8 | 0.5 | 0.3 | 1.1 | 6.9 | 7.7 | -39 | -2.4 | -3.5 | 44.4 | 38.2 | 93.3 | -0.09 | 52.5 | 49.6 |
| Mary Mullinax | - | 25 | 17.5 | 7.1 | 3.7 | 1.2 | 0.7 | 0.1 | 1.6 | 6.3 | 5.0 | 55 | 1.7 | 2.8 | 44.3 | 30.2 | 70.0 | -0.2 | 51.7 | 49.4 |
| Daniella Aronsky | - | 25 | 26.7 | 6.8 | 2.4 | 3.7 | 0.9 | 0.0 | 2.2 | 6.5 | 5.2 | -52 | -2.2 | -2.8 | 32.5 | 31.3 | 70.6 | -0.2 | 48.0 | 45.1 |
| Katherine Martini | - | 23 | 18.3 | 6.4 | 3.6 | 1.0 | 0.5 | 1.1 | 1.6 | 6.7 | 4.4 | -13 | -0.5 | -1.1 | 40.5 | 0.0 | 70.6 | 0.09 | 44.1 | 40.5 |
| Lily Kennedy | - | 22 | 18.5 | 6.3 | 3.5 | 1.2 | 0.7 | 0.0 | 1.2 | 4.7 | 5.7 | 80 | 3.0 | 5.1 | 48.1 | 31.2 | 77.8 | 0.77 | 57.6 | 52.9 |
| Chloe Kreusser | - | 25 | 14.1 | 3.4 | 2.7 | 0.4 | 1.0 | 0.4 | 0.5 | 3.1 | 4.4 | 28 | 0.9 | 2.0 | 46.2 | 0 | 60.9 | 0.27 | 48.8 | 46.2 |
| Erin Martin | - | 25 | 13.3 | 3.0 | 4.0 | 1.1 | 0.9 | 0.4 | 0.9 | 2.9 | 5.6 | -32 | -1.4 | -2.6 | 37.0 | 46.2 | 60.9 | -0.06 | 44.5 | 41.1 |
| Emma Starr | - | 25 | 14.8 | 2.3 | 1.4 | 1.9 | 0.4 | 0.1 | 1.4 | 2.8 | 1.9 | 17 | 0.5 | 1.1 | 31.4 | 23.5 | 83.3 | 0.21 | 39.2 | 37.1 |
| Caroline Connelly | - | 25 | 2.8 | 1.0 | 0.6 | 0.1 | 0.0 | 0.0 | 0.3 | 1.1 | 0.4 | 64 | 2.8 | 8.3 | 44.4 | 0.0 | 100.0 | 0.26 | 45.6 | 44.4 |
| Sydney Cummings | - | 25 | 1.1 | 0.2 | 0.1 | 0.0 | 0.1 | 0.0 | 0.2 | 0.3 | -0.1 | 10 | 0.7 | 8.0 | 25.0 | 20.0 | 0 | 0.37 | 31.2 | 31.2 |
| Mckenzi Carter | - | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -47 | -2.0 | -5.5 | 0 | 0 | 0 | -0.61 | 0 | 0 |
| Riley Allen | - | 7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.66 | 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