Chatham
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 → | 1101 (#128) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1146 (#104) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1050 (#182) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.3 (#85) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.8 (#339) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.958 (#192) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.965 (#119) | NetEff +29.0 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.944 (#132) | NetEff +20.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.928 (#188) | AdjNet +22.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.931 (#185) | AdjNet +21.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.793 (#182) | AdjO 72.0 | AdjD 57.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.629 (#198) | AdjO 63.3 | AdjD 57.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.672 (#239) | 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 → | 0.663 (#248) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1074 (#216) | RD 101 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | RIT | - | Incomplete score |
| 2025-11-09 | vs | Wash. & Lee | - | Incomplete score |
| 2025-11-11 | @ | Carlow | - | Incomplete score |
| 2025-11-14 | vs | Mary Washington | - | Incomplete score |
| 2025-11-15 | vs | Wittenberg | - | Incomplete score |
| 2025-11-18 | vs | Pitt.-Greensburg | - | Incomplete score |
| 2025-11-21 | @ | Indiana (PA) | - | Incomplete score |
| 2025-11-25 | vs | Penn St.-Behrend | - | Incomplete score |
| 2025-12-03 | @ | Wash. & Jeff. | - | Incomplete score |
| 2025-12-10 | @ | Bethany (WV) | - | Incomplete score |
| 2025-12-30 | @ | Juniata | - | Incomplete score |
| 2026-01-10 | vs | Thiel | - | Incomplete score |
| 2026-01-14 | @ | Saint Vincent | - | Incomplete score |
| 2026-01-17 | vs | Grove City | - | Incomplete score |
| 2026-01-21 | vs | Franciscan | - | Incomplete score |
| 2026-01-24 | @ | Hiram | - | Incomplete score |
| 2026-01-28 | vs | Wash. & Jeff. | - | Incomplete score |
| 2026-01-31 | @ | Westminster (PA) | - | Incomplete score |
| 2026-02-04 | vs | Bethany (WV) | - | Incomplete score |
| 2026-02-07 | @ | Allegheny | - | Incomplete score |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Madison Nereu | - | 19 | 32.5 | 18.5 | 9.3 | 3.6 | 1.9 | 0.3 | 2.6 | 14.9 | 16.0 | 20 | 1.1 | 3.0 | 51.6 | 9.1 | 66.7 | 2.12 | 54.6 | 51.8 |
| Alyssa Laukus | - | 19 | 28.8 | 13.1 | 5.4 | 3.5 | 2.4 | 1.4 | 2.1 | 8.9 | 14.7 | 40 | 2.1 | 7.1 | 58.8 | 50.0 | 65.3 | 2.37 | 61.5 | 59.1 |
| Hanah Chenault | - | 1 | 33.0 | 12.0 | 2.0 | 2.0 | 2.0 | 0.0 | 2.0 | 9.0 | 7.0 | 47 | 2.6 | 7.8 | 33.3 | 25.0 | 100.0 | 1.24 | 55.8 | 44.4 |
| Hannah Chenault | - | 18 | 29.6 | 9.2 | 3.1 | 1.7 | 1.6 | 0.3 | 1.5 | 8.7 | 5.6 | 47 | 2.6 | 7.8 | 33.8 | 29.3 | 80.6 | 0.92 | 48.3 | 44.6 |
| Maria Barela | - | 19 | 27.8 | 8.4 | 2.5 | 3.3 | 1.6 | 0.2 | 2.0 | 8.3 | 5.6 | 21 | 1.2 | 4.1 | 30.4 | 29.0 | 84.3 | 2.09 | 44.1 | 36.7 |
| Julia Calvin | - | 19 | 16.6 | 5.7 | 3.0 | 0.7 | 1.4 | 0.3 | 0.8 | 6.5 | 3.8 | 79 | 4.2 | 25.4 | 32.5 | 35.1 | 66.7 | 0.37 | 43.4 | 43.1 |
| Hannah Stephanites | - | 15 | 10.5 | 4.8 | 0.7 | 0.3 | 0.7 | 0.1 | 0.5 | 4.1 | 1.9 | 30 | 2.0 | 12.5 | 44.3 | 35.3 | 75.0 | 1.32 | 55.8 | 54.1 |
| Erin Dixon | - | 8 | 11.2 | 3.9 | 1.1 | 0.5 | 0.5 | 0.2 | 1.0 | 4.5 | 0.8 | -27 | -3.9 | -81.4 | 33.3 | 37.5 | 80.0 | -1.12 | 40.6 | 37.5 |
| Ashley Lippold | - | 3 | 4.9 | 3.3 | 1.0 | 0.3 | 1.7 | 0.3 | 0.7 | 3.3 | 2.7 | - | - | - | 40.0 | 0 | 50.0 | - | 42.5 | 40.0 |
| Jordyn Jensen | - | 19 | 14.9 | 2.8 | 2.9 | 0.6 | 1.1 | 0.1 | 0.8 | 3.3 | 3.4 | 0 | 0.0 | 0.0 | 30.6 | 12.5 | 73.7 | -0.37 | 38.4 | 32.3 |
| JaKaia Lotz | - | 9 | 9.6 | 2.6 | 2.8 | 0.7 | 0.6 | 0.2 | 0.8 | 2.7 | 3.3 | -28 | -3.5 | -54.0 | 37.5 | 0 | 62.5 | 2.72 | 41.8 | 37.5 |
| Giavonna Richter | - | 6 | 4.0 | 2.5 | 0.7 | 0.5 | 0.2 | 0.0 | 0.5 | 2.3 | 1.0 | - | - | - | 35.7 | 40.0 | 50.0 | - | 50.4 | 50.0 |
| Emily Venick | - | 19 | 15.6 | 2.2 | 0.6 | 1.0 | 1.1 | 0.1 | 0.6 | 2.3 | 2.1 | 25 | 1.3 | 7.4 | 34.9 | 25.0 | 50.0 | -1.19 | 41.7 | 39.5 |
| Erica Olszewski | - | 16 | 9.3 | 1.5 | 2.4 | 0.5 | 0.9 | 0.4 | 0.6 | 2.1 | 3.2 | -1 | -0.1 | -2.1 | 30.3 | 14.3 | 37.5 | -2.29 | 32.9 | 31.8 |
| Aliyah Maldonado | - | 2 | 2.3 | 1.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | -99 | -6.2 | -58.0 | 100.0 | 100.0 | 0 | -5.32 | 150.0 | 150.0 |
| Brielle Watson | - | 2 | 1.8 | 1.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.0 | -124 | -6.2 | -45.9 | 100.0 | 0 | 0 | -2.92 | 100.0 | 100.0 |
| Jordyn Miller | - | 6 | 2.6 | 0.8 | 0.3 | 0.5 | 0.3 | 0.0 | 0.0 | 0.7 | 1.3 | - | - | - | 50.0 | 33.3 | 0 | - | 62.5 | 62.5 |
| Reese Kresslein | - | 8 | 7.7 | 0.8 | 2.6 | 0.5 | 0.5 | 0.1 | 0.6 | 1.6 | 2.2 | 21 | 3.0 | 207.4 | 15.4 | 0.0 | 28.6 | -0.42 | 18.7 | 15.4 |
| Layla Lammert | - | 3 | 3.5 | 0.7 | 1.3 | 0.0 | 0.3 | 0.0 | 1.0 | 1.0 | 0.3 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
| Kristin Szymusiak | - | 7 | 4.3 | 0.7 | 0.3 | 0.4 | 0.1 | 0.0 | 0.3 | 0.9 | 0.4 | - | - | - | 33.3 | 33.3 | 0 | - | 41.7 | 41.7 |
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