🐻⬇️🏀

Baldwin Wallace

Also known as: Baldwin Wallace
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 → 1233 (#1) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1314 (#14) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1284 (#5) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +25.8 (#10) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +21.1 (#109) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.926 (#217) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +28.1 More → 0.980 (#105) NetEff +28.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +31.9 More → 0.976 (#145) AdjNet +31.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +31.5 More → 0.976 (#146) AdjNet +31.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.3 | AdjD 51.2 More → 0.850 (#148) AdjO 70.3 | AdjD 51.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.6 | AdjD 48.6 More → 0.860 (#30) AdjO 68.6 | AdjD 48.6
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 → 0.920 (#55) 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 → 0.920 (#40) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 106 | GP 22 More → 1414 (#9) RD 106 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 @ Trine L 38 - 42
2025-11-14 @ Grove City W 75 - 57
2025-11-15 @ Wooster W 84 - 56
2025-11-19 @ Oberlin W 60 - 45
2025-11-25 @ John Carroll L 45 - 52
2025-12-02 vs Mount Union W 54 - 52
2025-12-14 vs Marietta W 62 - 51
2025-12-17 vs La Roche W 66 - 45
2025-12-20 @ Capital W 74 - 64
2025-12-29 vs Stevenson W 73 - 36
2025-12-30 vs CWRU W 76 - 52
2026-01-14 vs Heidelberg W 92 - 38
2026-01-17 vs Wilmington (OH) W 80 - 46
2026-01-21 @ Ohio Northern W 55 - 46
2026-01-24 vs Muskingum W 63 - 39
2026-01-28 vs Otterbein W 67 - 52
2026-01-31 @ Marietta W 89 - 66
2026-02-04 @ Mount Union W 62 - 58
2026-02-07 vs Capital W 63 - 49

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%
Laura McCoy - 19 20.5 9.6 4.4 1.2 0.6 0.3 1.5 9.2 5.5 130 5.9 58.8 43.1 29.4 92.9 2.09 50.8 48.9
Leah Riley - 19 18.3 8.8 2.7 1.8 0.7 0.1 1.6 6.8 5.7 196 8.9 84.8 43.1 34.7 79.5 2.09 57.1 52.7
Ava Wilkerson - 19 22.4 8.5 1.6 1.7 0.6 0.1 1.6 6.9 3.9 154 7.0 72.5 39.7 37.0 96.8 3.53 55.7 50.0
Brooke Thompson - 19 20.3 8.1 7.1 0.4 0.6 0.7 1.3 5.4 10.2 124 6.2 59.1 60.2 40.0 68.4 0.15 64.3 62.1
Kaycie Badylak - 19 15.7 6.2 1.2 1.1 0.6 0.2 0.8 5.3 3.1 142 7.1 72.8 38.0 40.7 69.2 -0.44 55.8 54.5
Kayla Jones - 19 22.0 6.1 4.8 2.1 1.5 0.4 1.7 6.7 6.4 210 10.5 86.2 37.0 25.9 53.6 3.69 41.6 39.8
Taylor Bass - 19 14.2 4.9 2.9 0.7 0.6 0.2 0.7 4.6 4.1 156 7.8 77.9 36.8 40.0 55.6 1.33 49.5 48.3
Elise Champagne - 19 15.8 4.2 1.6 1.7 0.8 0.2 1.4 4.4 2.7 136 6.8 69.7 31.0 29.3 83.3 0.8 43.0 38.1
Alyssa Miller - 19 23.1 3.5 4.6 1.4 0.9 1.8 2.2 3.6 6.5 158 7.9 64.6 37.7 25.0 68.4 3.44 43.3 39.1
Maddy Stumpf - 19 10.0 2.0 3.1 0.3 0.2 0.3 0.2 1.8 3.8 123 6.2 87.3 48.6 0.0 57.1 3.57 49.9 48.6
Delaney Garcia - 18 6.9 1.9 1.3 0.3 0.4 0.0 0.4 1.3 2.2 37 1.9 52.4 45.8 0.0 52.2 -1.12 49.8 45.8
Ali Menendez - 10 3.9 1.6 0.2 0.6 0.2 0.0 0.5 1.3 0.8 17 1.7 57.8 46.2 50.0 37.5 -0.42 48.4 50.0
Sarah Scott - 8 4.2 1.4 1.9 0.0 0.1 0.0 0.5 1.0 1.9 26 3.2 99.7 37.5 50.0 66.7 -0.11 51.7 43.8
Claire Bartlome - 9 2.9 1.4 0.3 0.0 0.1 0.0 0.4 0.8 0.7 11 1.1 96.0 71.4 60.0 0 -0.52 92.9 92.9
Izzy Kurka - 12 3.2 1.2 0.8 0.1 0.2 0.1 0.4 1.4 0.7 4 0.3 20.1 29.4 11.1 80.0 -0.93 39.1 32.4
Jessica Wolanin - 10 3.5 0.6 0.4 0.2 0.1 0.0 0.1 0.6 0.6 19 1.9 98.5 33.3 25.0 50.0 -1.29 43.6 41.7
Sky Regan - 11 3.7 0.5 0.6 0.4 0.2 0.1 0.2 0.7 0.8 39 3.5 187.2 25.0 16.7 0 -0.95 31.2 31.2

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