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 → | 989 (#257) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1037 (#269) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 974 (#528) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.6 (#168) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -0.6 (#380) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.404 (#489) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.824 (#208) | NetEff +10.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.319 (#439) | AdjNet -6.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.299 (#445) | AdjNet -7.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.408 (#429) | AdjO 57.6 | AdjD 61.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.535 (#324) | AdjO 55.7 | AdjD 54.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.568 (#319) | 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 → | 0.556 (#334) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1031 (#274) | RD 107 | GP 20 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Rutgers-Camden | W | 71 - 57 |
| 2025-11-12 | vs | Rutgers-Newark | W | 91 - 45 |
| 2025-11-15 | @ | Franklin & Marshall | L | 62 - 67 |
| 2025-11-19 | vs | Scranton | L | 48 - 71 |
| 2025-11-22 | @ | Juniata | W | 56 - 49 |
| 2025-11-25 | @ | FDU-Florham | W | 60 - 46 |
| 2025-11-30 | vs | Penn St. Harrisburg | W | 69 - 33 |
| 2025-12-03 | @ | Elizabethtown | L | 39 - 59 |
| 2025-12-13 | @ | Saint Elizabeth | L | 52 - 60 |
| 2026-01-10 | @ | Catholic | L | 53 - 66 |
| 2026-01-14 | @ | Wilkes | W | 72 - 44 |
| 2026-01-17 | vs | Susquehanna | L | 44 - 63 |
| 2026-01-21 | vs | Moravian | W | 65 - 54 |
| 2026-01-24 | vs | Juniata | W | 66 - 48 |
| 2026-01-28 | @ | Scranton | L | 35 - 76 |
| 2026-01-31 | @ | Lycoming | W | 53 - 46 |
| 2026-02-04 | vs | Elizabethtown | L | 59 - 60 |
| 2026-02-07 | @ | Goucher | L | 54 - 56 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kaitlyn Reiner | - | 1 | 16.7 | 10.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 7.0 | 7.0 | 12 | 0.8 | 18.0 | 57.1 | 33.3 | 100.0 | -1.18 | 67.2 | 64.3 |
| Gianna Pica | - | 18 | 22.8 | 8.4 | 3.4 | 0.4 | 0.8 | 0.4 | 1.4 | 9.3 | 2.7 | -21 | -1.2 | -10.9 | 37.7 | 24.2 | 65.4 | -1.16 | 42.3 | 40.1 |
| Olivia Aliotta | - | 18 | 22.7 | 8.1 | 6.2 | 1.3 | 1.2 | 0.6 | 2.0 | 8.7 | 6.8 | 31 | 1.7 | 13.6 | 35.0 | 20.0 | 53.3 | 0.7 | 39.8 | 36.3 |
| Amy Rachilla | - | 18 | 29.2 | 7.1 | 3.3 | 2.4 | 1.7 | 0.0 | 1.8 | 6.2 | 6.3 | 12 | 0.7 | 5.1 | 33.0 | 25.0 | 77.6 | -1.62 | 46.2 | 36.6 |
| Jocelyn Kingsley | - | 18 | 20.1 | 6.9 | 3.1 | 1.8 | 1.2 | 0.2 | 2.5 | 5.5 | 5.2 | 104 | 5.8 | 58.6 | 44.4 | 30.8 | 64.0 | 2.8 | 51.2 | 46.5 |
| Maddie Beyer | - | 18 | 26.9 | 6.4 | 2.4 | 2.8 | 1.1 | 0.2 | 1.8 | 7.2 | 3.8 | 42 | 2.3 | 19.8 | 31.5 | 31.9 | 76.9 | -0.71 | 42.4 | 40.4 |
| Molly Chapman | - | 18 | 19.8 | 5.7 | 4.9 | 0.8 | 0.9 | 0.5 | 0.9 | 4.2 | 7.7 | 56 | 3.3 | 33.1 | 40.8 | 27.3 | 77.6 | -0.44 | 52.8 | 42.8 |
| Brenna Hezel | - | 17 | 18.5 | 5.0 | 4.5 | 1.2 | 0.9 | 1.1 | 0.9 | 4.8 | 6.9 | 40 | 2.5 | 36.8 | 42.0 | 0 | 56.7 | -0.74 | 45.1 | 42.0 |
| Alice Altomare | - | 18 | 14.8 | 4.8 | 1.6 | 0.6 | 0.3 | 0.2 | 1.2 | 6.7 | -0.4 | 61 | 3.6 | 59.2 | 23.1 | 23.3 | 62.5 | -0.59 | 33.6 | 31.4 |
| Miabella Diaz | - | 17 | 19.1 | 4.2 | 3.5 | 0.8 | 1.2 | 0.5 | 1.3 | 4.8 | 4.2 | 23 | 1.5 | 26.3 | 33.3 | 29.6 | 71.4 | 0.79 | 41.3 | 38.3 |
| Harrison Anderson | - | 1 | 10.5 | 3.0 | 3.0 | 1.0 | 0.0 | 0.0 | 2.0 | 3.0 | 2.0 | - | - | - | 33.3 | 50.0 | 0 | - | 50.0 | 50.0 |
| Katie Reiner | - | 15 | 4.8 | 1.1 | 1.3 | 0.1 | 0.2 | 0.1 | 0.3 | 1.7 | 0.9 | 12 | 0.8 | 18.0 | 24.0 | 14.3 | 100.0 | -1.18 | 32.3 | 28.0 |
| Vivian O'Quinn | - | 5 | 3.1 | 0.8 | 0.2 | 0.2 | 0.2 | 0.0 | 0.2 | 0.4 | 0.8 | 15 | 3.0 | 1241.4 | 100.0 | 0 | 0 | 0.58 | 100.0 | 100.0 |
| Emily Bass | - | 13 | 2.9 | 0.3 | 0.2 | 0.3 | 0.1 | 0.0 | 0.4 | 0.6 | -0.1 | 27 | 2.5 | 233.9 | 25.0 | 0.0 | 0 | 0.48 | 25.0 | 25.0 |
| Mia Hartman | - | 6 | 2.8 | 0.3 | 0.5 | 0.0 | 0.3 | 0.0 | 0.2 | 1.0 | 0.0 | 23 | 3.8 | 745.9 | 16.7 | 0.0 | 0 | 1.59 | 16.7 | 16.7 |
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