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 → | 1019 (#202) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1129 (#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 → | +15.8 (#55) | HCA +2.3 |
| 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 → | 1072 (#222) | RD 101 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | RIT | W | 64 - 40 |
| 2025-11-09 | vs | Wash. & Lee | L | 65 - 77 |
| 2025-11-11 | @ | Carlow | W | 92 - 28 |
| 2025-11-14 | vs | Mary Washington | W | 86 - 56 |
| 2025-11-15 | vs | Wittenberg | W | 57 - 38 |
| 2025-11-18 | vs | Pitt.-Greensburg | W | 97 - 58 |
| 2025-11-21 | @ | Indiana (PA) | L | 66 - 88 |
| 2025-11-25 | vs | Penn St.-Behrend | W | 92 - 52 |
| 2025-12-03 | @ | Wash. & Jeff. | L | 52 - 61 |
| 2025-12-10 | @ | Bethany (WV) | L | 43 - 58 |
| 2025-12-30 | @ | Juniata | W | 80 - 63 |
| 2026-01-10 | vs | Thiel | W | 85 - 54 |
| 2026-01-14 | @ | Saint Vincent | L | 51 - 56 |
| 2026-01-17 | vs | Grove City | W | 84 - 54 |
| 2026-01-21 | vs | Franciscan | W | 76 - 46 |
| 2026-01-24 | @ | Hiram | W | 70 - 56 |
| 2026-01-28 | vs | Wash. & Jeff. | L | 52 - 64 |
| 2026-01-31 | @ | Westminster (PA) | W | 60 - 51 |
| 2026-02-04 | vs | Bethany (WV) | L | 67 - 74 |
| 2026-02-07 | @ | Allegheny | W | 63 - 59 |
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 | - | 20 | 32.4 | 18.2 | 9.1 | 3.5 | 1.9 | 0.2 | 2.8 | 14.6 | 15.7 | 20 | 1.1 | 3.0 | 51.9 | 9.1 | 66.7 | 1.68 | 55.0 | 52.1 |
| Alyssa Laukus | - | 20 | 28.9 | 13.3 | 5.1 | 3.4 | 2.3 | 1.3 | 2.0 | 9.1 | 14.2 | 40 | 2.1 | 7.1 | 58.8 | 25.0 | 67.1 | 0.45 | 61.7 | 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 | 1.7 | 55.8 | 44.4 |
| Hannah Chenault | - | 19 | 29.6 | 9.3 | 3.1 | 1.6 | 1.6 | 0.3 | 1.5 | 8.8 | 5.5 | 47 | 2.6 | 7.8 | 34.1 | 30.1 | 80.6 | 1.7 | 48.7 | 45.2 |
| Maria Barela | - | 20 | 28.1 | 8.3 | 2.5 | 3.4 | 1.7 | 0.1 | 2.1 | 8.2 | 5.7 | 21 | 1.2 | 4.1 | 30.7 | 29.6 | 84.9 | -0.52 | 44.5 | 37.1 |
| Julia Calvin | - | 20 | 16.7 | 5.5 | 3.0 | 0.8 | 1.3 | 0.3 | 0.8 | 6.2 | 3.8 | 79 | 4.2 | 25.4 | 32.8 | 34.7 | 66.7 | 3.51 | 43.5 | 43.2 |
| Hannah Stephanites | - | 16 | 10.0 | 4.5 | 0.7 | 0.2 | 0.6 | 0.1 | 0.5 | 3.9 | 1.8 | 30 | 2.0 | 12.5 | 43.5 | 34.3 | 75.0 | 1.33 | 54.9 | 53.2 |
| Erin Dixon | - | 9 | 11.4 | 3.4 | 1.0 | 0.4 | 0.4 | 0.2 | 1.0 | 4.3 | 0.2 | -27 | -3.9 | -81.4 | 30.8 | 33.3 | 80.0 | -1.45 | 37.6 | 34.6 |
| 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 | - | 20 | 14.7 | 3.1 | 2.9 | 0.7 | 1.0 | 0.1 | 0.8 | 3.2 | 3.6 | 0 | 0.0 | 0.0 | 32.3 | 17.6 | 73.9 | -2.37 | 41.3 | 34.6 |
| JaKaia Lotz | - | 10 | 9.8 | 2.9 | 3.1 | 0.6 | 0.5 | 0.2 | 0.8 | 2.9 | 3.6 | -28 | -3.5 | -54.0 | 37.9 | 0 | 63.6 | 1.57 | 42.8 | 37.9 |
| 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 | - | 20 | 15.2 | 2.0 | 0.6 | 0.9 | 1.1 | 0.1 | 0.7 | 2.2 | 1.9 | 25 | 1.3 | 7.4 | 33.3 | 22.2 | 50.0 | 0.95 | 40.1 | 37.8 |
| 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 | -3.03 | 150.0 | 150.0 |
| Erica Olszewski | - | 17 | 9.2 | 1.4 | 2.4 | 0.5 | 0.9 | 0.4 | 0.5 | 2.0 | 3.1 | -1 | -0.1 | -2.1 | 29.4 | 12.5 | 37.5 | -1.11 | 32.0 | 30.9 |
| 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 | -2.36 | 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 | - | 9 | 7.2 | 0.7 | 2.3 | 0.4 | 0.4 | 0.1 | 0.7 | 1.4 | 1.9 | 21 | 3.0 | 207.4 | 15.4 | 0.0 | 28.6 | 0.26 | 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 | - | 8 | 4.0 | 0.6 | 0.2 | 0.4 | 0.1 | 0.0 | 0.2 | 0.8 | 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