🐻⬇️🏀

Chatham

Also known as: Chatham
Program History

Model Outputs

2025-2026
Catalog

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. HCA +62 elo More → 1050 (#182) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +15.8 (#55) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 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. NetEff +29.0 More → 0.965 (#119) NetEff +29.0
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +20.5 More → 0.944 (#132) NetEff +20.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.1 More → 0.928 (#188) AdjNet +22.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +21.9 More → 0.931 (#185) AdjNet +21.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.0 | AdjD 57.2 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. AdjO 63.3 | AdjD 57.5 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 101 | GP 21 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