Wash. & Jeff.
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 → | 1015 (#214) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1214 (#41) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1166 (#45) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +19.4 (#34) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.7 (#204) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.938 (#211) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.893 (#168) | NetEff +15.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.941 (#176) | AdjNet +24.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.942 (#178) | AdjNet +23.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.796 (#179) | AdjO 71.5 | AdjD 56.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.773 (#73) | AdjO 67.2 | AdjD 53.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.817 (#121) | 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 → | 0.816 (#121) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1204 (#64) | RD 103 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-10 | @ | Penn St.-Behrend | W | 78 - 66 |
| 2025-11-14 | vs | Ohio Northern | W | 82 - 42 |
| 2025-11-15 | vs | Mount Union | W | 66 - 65 |
| 2025-11-21 | @ | Marietta | W | 81 - 65 |
| 2025-11-22 | vs | Cortland | L | 62 - 74 |
| 2025-11-25 | @ | La Roche | W | 68 - 50 |
| 2025-12-03 | vs | Chatham | W | 61 - 52 |
| 2025-12-17 | vs | Carnegie Mellon | L | 67 - 78 |
| 2025-12-29 | @ | Otterbein | L | 43 - 52 |
| 2025-12-30 | @ | Ohio Wesleyan | L | 50 - 61 |
| 2026-01-10 | vs | Geneva | W | 94 - 66 |
| 2026-01-14 | @ | Waynesburg | W | 73 - 44 |
| 2026-01-17 | @ | Hiram | W | 79 - 62 |
| 2026-01-21 | vs | Saint Vincent | L | 59 - 72 |
| 2026-01-24 | vs | Allegheny | W | 76 - 47 |
| 2026-01-28 | @ | Chatham | W | 64 - 52 |
| 2026-01-31 | @ | Grove City | W | 72 - 50 |
| 2026-02-04 | vs | Franciscan | W | 76 - 47 |
| 2026-02-07 | vs | Westminster (PA) | W | 82 - 53 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Riley DeRubbo | - | 19 | 32.2 | 15.4 | 7.0 | 2.6 | 1.5 | 0.4 | 2.3 | 12.5 | 12.1 | 215 | 10.2 | 47.6 | 39.1 | 33.9 | 86.4 | 4.28 | 53.5 | 46.8 |
| Katie Kovalchick | - | 19 | 26.9 | 14.2 | 5.1 | 1.8 | 1.2 | 1.2 | 1.7 | 10.6 | 11.2 | 140 | 6.7 | 34.8 | 51.7 | 34.4 | 79.7 | 1.03 | 58.9 | 54.5 |
| Stellanie Loutsion | - | 19 | 29.8 | 13.9 | 5.2 | 2.1 | 1.7 | 0.8 | 3.2 | 12.2 | 8.4 | 164 | 8.2 | 40.0 | 42.9 | 29.5 | 81.5 | 1.5 | 52.0 | 47.8 |
| Marina Grado | - | 19 | 31.2 | 6.5 | 4.1 | 3.2 | 1.8 | 0.3 | 2.3 | 5.3 | 8.4 | 170 | 8.1 | 44.3 | 40.0 | 28.2 | 84.6 | 2.76 | 52.9 | 45.5 |
| Jaden Wan | - | 18 | 18.6 | 6.4 | 2.8 | 0.8 | 1.1 | 0.3 | 0.8 | 5.4 | 5.3 | 113 | 5.7 | 46.8 | 43.3 | 44.4 | 76.2 | 3.61 | 54.6 | 51.5 |
| Jacey Mullen | - | 13 | 18.2 | 4.4 | 5.2 | 2.0 | 0.8 | 0.8 | 0.8 | 3.5 | 8.8 | 58 | 4.1 | 20.4 | 40.0 | 20.0 | 83.3 | 4.01 | 51.3 | 41.1 |
| Raegan Kadlecik | - | 17 | 18.7 | 3.8 | 3.5 | 1.5 | 0.6 | 0.1 | 1.6 | 3.5 | 4.4 | 87 | 4.6 | 47.8 | 31.7 | 32.1 | 85.0 | 2.32 | 46.5 | 39.2 |
| Michelle Jellison | - | 19 | 8.6 | 3.1 | 1.5 | 0.6 | 0.3 | 0.1 | 0.9 | 2.8 | 1.8 | 10 | 0.5 | 5.8 | 41.5 | 14.3 | 60.0 | 0.92 | 46.9 | 43.4 |
| Shannon Conley | - | 13 | 6.8 | 2.1 | 1.1 | 0.2 | 0.2 | 0.2 | 1.1 | 2.5 | 0.2 | 37 | 2.6 | 37.7 | 33.3 | 28.6 | 60.0 | 0.17 | 38.4 | 36.4 |
| Emily Mountain | - | 8 | 5.4 | 2.1 | 1.2 | 0.8 | 0.6 | 0.0 | 0.8 | 1.8 | 2.2 | 22 | 2.4 | 52.7 | 50.0 | 0.0 | 75.0 | -0.26 | 53.9 | 50.0 |
| Brooke Paylo | - | 14 | 6.4 | 0.9 | 1.0 | 0.4 | 0.3 | 0.1 | 0.7 | 0.6 | 1.3 | 16 | 1.0 | 16.4 | 37.5 | 33.3 | 83.3 | 0.51 | 56.4 | 43.8 |
| Jasmine Twitty | - | 7 | 6.1 | 0.9 | 1.4 | 0.7 | 0.4 | 0.0 | 0.1 | 1.0 | 2.3 | 9 | 1.3 | 21.7 | 42.9 | 0.0 | 0 | -0.06 | 42.9 | 42.9 |
| Alayna Wagner | - | 11 | 6.9 | 0.8 | 1.1 | 0.6 | 0.4 | 0.0 | 0.3 | 1.0 | 1.6 | 18 | 1.5 | 17.7 | 27.3 | 0.0 | 75.0 | 0.54 | 35.3 | 27.3 |
| Ava Capozzoli | - | 7 | 3.3 | 0.7 | 0.4 | 0.0 | 0.0 | 0.1 | 0.4 | 0.4 | 0.4 | -6 | -0.8 | -19.6 | 66.7 | 100.0 | 0 | -0.09 | 83.3 | 83.3 |
| Olivia Kemp | - | 7 | 3.9 | 0.6 | 0.4 | 0.0 | 0.1 | 0.0 | 0.1 | 0.9 | 0.1 | 2 | 0.2 | 6.5 | 16.7 | 0.0 | 28.6 | -0.09 | 22.0 | 16.7 |
| Brianna Toal | - | 12 | 6.0 | 0.5 | 0.7 | 0.2 | 0.2 | 0.0 | 0.3 | 1.9 | -0.6 | -6 | -0.4 | -9.8 | 8.7 | 20.0 | 0.0 | -0.92 | 12.6 | 13.0 |
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