Neumann
Model Outputs
2025-2026
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 → | 884 (#426) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 862 (#496) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 898 (#614) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -11.0 (#296) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -13.7 (#540) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.617 (#392) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.167 (#461) | NetEff -11.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.271 (#462) | AdjNet -8.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.248 (#467) | AdjNet -9.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.363 (#466) | AdjO 57.2 | AdjD 63.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.337 (#585) | AdjO 56.0 | AdjD 63.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.239 (#572) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.247 (#574) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 843 (#465) | RD 104 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Penn St. Brandywine | W | 60 - 47 |
| 2025-11-12 | vs | Ursinus | L | 44 - 65 |
| 2025-11-14 | @ | Delaware Valley | L | 42 - 74 |
| 2025-11-18 | @ | Haverford | L | 44 - 52 |
| 2025-11-22 | vs | Lebanon Valley | L | 50 - 64 |
| 2025-11-25 | @ | Widener | L | 52 - 78 |
| 2025-12-02 | vs | Eastern | L | 53 - 57 |
| 2025-12-29 | @ | Franklin & Marshall | L | 49 - 66 |
| 2025-12-30 | @ | Montclair St. | L | 62 - 76 |
| 2026-01-10 | @ | Saint Elizabeth | W | 61 - 41 |
| 2026-01-14 | @ | Marymount (VA) | L | 51 - 60 |
| 2026-01-17 | @ | Gwynedd Mercy | W | 71 - 45 |
| 2026-01-21 | vs | Marywood | L | 52 - 61 |
| 2026-01-24 | vs | Centenary (NJ) | L | 66 - 72 |
| 2026-01-28 | @ | Pratt | W | 53 - 36 |
| 2026-01-31 | @ | Immaculata | L | 72 - 82 |
| 2026-02-04 | vs | Marymount (VA) | W | 70 - 58 |
| 2026-02-07 | vs | Saint Elizabeth | L | 63 - 72 |
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Emily Dupont | - | 1 | 28.0 | 14.0 | 8.0 | 3.0 | 0.0 | 4.0 | 4.0 | 8.0 | 17.0 | -39 | -2.3 | -7.5 | 87.5 | 0.0 | 0 | 2.18 | 87.5 | 87.5 |
| Bri Gautier | - | 10 | 27.9 | 10.2 | 4.3 | 1.8 | 1.4 | 1.6 | 1.1 | 8.3 | 9.9 | -71 | -6.5 | -17.9 | 54.2 | 0 | 63.2 | 1.66 | 55.8 | 54.2 |
| Jess Aponik | - | 18 | 24.6 | 10.1 | 5.2 | 1.7 | 0.9 | 1.5 | 2.9 | 9.3 | 7.2 | -134 | -7.1 | -30.8 | 40.7 | 23.5 | 82.4 | -3.51 | 48.0 | 41.9 |
| Jenna Aponik | - | 18 | 27.5 | 7.2 | 3.6 | 2.5 | 2.0 | 0.2 | 2.3 | 6.9 | 6.2 | -26 | -1.3 | -6.9 | 42.4 | 33.3 | 40.5 | 2.15 | 45.3 | 45.2 |
| Lindsay Holden | - | 17 | 31.6 | 6.2 | 3.1 | 2.4 | 1.2 | 0.1 | 2.6 | 6.9 | 3.4 | -78 | -4.1 | -21.2 | 26.5 | 27.7 | 63.6 | -1.77 | 40.3 | 36.3 |
| Elaina Guerzon | - | 17 | 30.4 | 6.1 | 2.3 | 1.5 | 1.8 | 0.1 | 2.0 | 6.4 | 3.4 | -44 | -2.3 | -11.3 | 39.8 | 27.0 | 72.7 | 2.19 | 46.1 | 44.4 |
| Taylor Hehnly | - | 17 | 12.0 | 2.9 | 1.9 | 0.2 | 0.4 | 0.2 | 1.4 | 3.8 | 0.5 | 29 | 1.5 | 27.6 | 28.1 | 22.2 | 40.0 | -0.18 | 35.4 | 34.4 |
| Tessa Mullins | - | 11 | 13.2 | 2.1 | 1.9 | 0.7 | 0.3 | 0.2 | 0.6 | 3.4 | 1.2 | -32 | -2.7 | -18.8 | 27.0 | 20.0 | 0 | 1.94 | 31.1 | 31.1 |
| Hannah Cappelletti | - | 18 | 10.0 | 1.8 | 0.6 | 0.3 | 0.2 | 0.1 | 0.5 | 2.6 | -0.2 | -17 | -0.8 | -11.3 | 21.3 | 16.7 | 83.3 | -1.57 | 32.2 | 28.7 |
| Madi Kamulda | - | 14 | 12.4 | 1.6 | 2.6 | 0.4 | 0.5 | 0.3 | 0.7 | 1.8 | 2.9 | -33 | -2.1 | -38.5 | 32.0 | 0.0 | 29.2 | -1.82 | 32.3 | 32.0 |
| Enaysia Harmon | - | 9 | 2.9 | 0.9 | 0.7 | 0.0 | 0.2 | 0.0 | 0.4 | 0.9 | 0.4 | -16 | -1.6 | -107.9 | 37.5 | 0 | 50.0 | -1.98 | 41.0 | 37.5 |
| Kyla Carney | - | 9 | 6.6 | 0.7 | 1.0 | 0.4 | 0.4 | 0.0 | 0.7 | 1.6 | 0.3 | -7 | -0.6 | -28.7 | 14.3 | 10.0 | 33.3 | -1.42 | 19.6 | 17.9 |
| Emma Pfeiffer | - | 8 | 1.9 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.0 | -18 | -2.0 | -169.4 | 0.0 | 0.0 | 50.0 | -2.23 | 26.6 | 0.0 |
| Paige Horton | - | 9 | 3.1 | 0.0 | 0.7 | 0.1 | 0.2 | 0.1 | 0.3 | 0.2 | 0.6 | -20 | -2.0 | -121.2 | 0.0 | 0 | 0.0 | -2.35 | 0.0 | 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