DeSales
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 → | 1020 (#196) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1123 (#109) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1183 (#34) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.2 (#86) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.1 (#201) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.936 (#214) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.885 (#176) | NetEff +13.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.905 (#210) | AdjNet +19.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.905 (#211) | AdjNet +18.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.724 (#220) | AdjO 63.7 | AdjD 53.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.768 (#78) | AdjO 60.8 | AdjD 47.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.837 (#115) | 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 → | 0.838 (#109) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1258 (#41) | RD 96 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Gettysburg | L | 60 - 63 |
| 2025-11-09 | @ | Mary Washington | W | 81 - 59 |
| 2025-11-15 | vs | Saint Vincent | W | 65 - 55 |
| 2025-11-19 | vs | Rowan | L | 38 - 43 |
| 2025-11-22 | @ | Muhlenberg | W | 62 - 50 |
| 2025-11-24 | @ | Moravian | W | 66 - 46 |
| 2025-12-16 | vs | Scranton | L | 48 - 74 |
| 2025-12-29 | @ | CCNY | W | 92 - 22 |
| 2025-12-30 | @ | Lehman | W | 72 - 42 |
| 2026-01-10 | @ | Delaware Valley | W | 52 - 45 |
| 2026-01-14 | @ | Lebanon Valley | W | 46 - 33 |
| 2026-01-17 | @ | Stevens | L | 51 - 56 |
| 2026-01-21 | vs | Arcadia | W | 54 - 45 |
| 2026-01-24 | vs | Misericordia | W | 74 - 38 |
| 2026-01-28 | @ | King's (PA) | W | 62 - 59 |
| 2026-01-31 | vs | Delaware Valley | W | 73 - 48 |
| 2026-02-04 | vs | Lebanon Valley | W | 49 - 43 |
| 2026-02-07 | @ | FDU-Florham | W | 66 - 47 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lindsay Bednarek | - | 18 | 24.9 | 14.0 | 3.3 | 2.3 | 1.8 | 0.3 | 1.9 | 12.6 | 7.2 | 95 | 5.0 | 30.6 | 44.7 | 33.3 | 69.0 | 2.79 | 49.0 | 44.9 |
| Mikaili Donmoyer | - | 18 | 28.9 | 10.9 | 3.8 | 1.9 | 1.6 | 0.1 | 2.0 | 12.1 | 4.2 | 100 | 5.3 | 25.4 | 30.9 | 28.3 | 72.1 | 2.01 | 41.8 | 38.2 |
| Aubrey Pollard | - | 18 | 25.5 | 9.6 | 7.7 | 0.5 | 1.1 | 0.1 | 1.0 | 8.3 | 9.7 | 41 | 2.2 | 15.1 | 52.3 | 0.0 | 42.1 | -0.42 | 51.9 | 52.3 |
| Kayla Ishigami | - | 18 | 17.0 | 6.9 | 1.7 | 1.1 | 1.1 | 0.0 | 1.5 | 6.8 | 2.5 | 53 | 2.8 | 27.8 | 35.0 | 37.3 | 76.2 | 1.55 | 46.9 | 43.9 |
| Sammi White | - | 18 | 32.9 | 4.6 | 7.2 | 1.9 | 1.4 | 2.2 | 1.2 | 5.7 | 10.6 | 126 | 6.3 | 32.0 | 39.2 | 0.0 | 25.0 | 4.48 | 38.7 | 39.2 |
| Keara McCaffrey | - | 16 | 8.3 | 3.2 | 1.3 | 0.1 | 0.3 | 0.1 | 0.4 | 2.9 | 1.8 | 51 | 3.0 | 53.5 | 43.5 | 0 | 61.1 | -0.12 | 47.3 | 43.5 |
| Marissa Laverghetta | - | 1 | 13.0 | 3.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 4.0 | 3.0 | 116 | 6.1 | 35.2 | 25.0 | 0.0 | 100.0 | 1.32 | 33.8 | 25.0 |
| Lillirose Lang | - | 15 | 9.1 | 2.3 | 0.6 | 0.7 | 0.9 | 0.1 | 1.1 | 3.6 | -0.2 | 21 | 1.2 | 49.8 | 25.9 | 22.7 | 100.0 | 0.13 | 31.9 | 30.6 |
| Mia Soto | - | 4 | 4.6 | 2.2 | 1.2 | 0.5 | 0.2 | 0.0 | 0.2 | 2.0 | 2.0 | 4 | 0.8 | 157.4 | 50.0 | 50.0 | 0 | 0.13 | 56.2 | 56.2 |
| Emma O'Hare | - | 6 | 4.5 | 2.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.2 | 0.8 | 2.3 | 28 | 4.7 | 1101.6 | 40.0 | 33.3 | 80.0 | 0.13 | 69.1 | 50.0 |
| Emma Pyne | - | 10 | 9.4 | 1.8 | 1.7 | 0.5 | 0.5 | 0.0 | 0.5 | 2.2 | 1.8 | 44 | 4.4 | 85.8 | 27.3 | 23.1 | 75.0 | 1.1 | 37.9 | 34.1 |
| Julia Kowalski | - | 15 | 10.4 | 1.6 | 1.4 | 0.6 | 0.6 | 0.0 | 0.4 | 2.1 | 1.7 | 7 | 0.5 | 9.2 | 28.1 | 13.3 | 66.7 | 0.23 | 34.6 | 31.2 |
| Mia Stock | - | 14 | 7.5 | 0.9 | 1.5 | 0.5 | 0.2 | 0.3 | 0.5 | 1.6 | 1.3 | 39 | 2.8 | 28.3 | 21.7 | 0.0 | 75.0 | 1.41 | 26.3 | 21.7 |
| Mackenzie Gordos | - | 9 | 3.8 | 0.7 | 0.1 | 0.3 | 0.2 | 0.0 | 0.3 | 0.6 | 0.4 | 10 | 1.0 | 120.0 | 40.0 | 50.0 | 0 | -0.03 | 60.0 | 60.0 |
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