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Ohio Wesleyan

Also known as: Ohio Wesleyan
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 → 1145 (#28) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1358 (#7) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1224 (#16) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +20.4 (#28) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +16.3 (#144) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.975 (#169) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +15.8 More → 0.896 (#164) NetEff +15.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +35.9 More → 0.985 (#128) AdjNet +35.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +35.5 More → 0.985 (#131) AdjNet +35.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.7 | AdjD 52.6 More → 0.882 (#131) AdjO 74.7 | AdjD 52.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.0 | AdjD 55.0 More → 0.782 (#70) AdjO 69.0 | AdjD 55.0
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 → 0.874 (#84) 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 → 0.872 (#78) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 20 More → 1394 (#12) RD 112 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-10 vs Otterbein W 72 - 62
2025-11-14 @ Calvin L 45 - 70
2025-11-15 vs Hope W 65 - 62
2025-11-22 vs Heidelberg W 86 - 48
2025-11-25 vs Ohio Northern W 74 - 59
2025-12-03 @ John Carroll W 65 - 63
2025-12-16 vs Capital W 68 - 53
2025-12-20 vs Simpson W 67 - 59
2025-12-30 vs Wash. & Jeff. W 61 - 50
2025-12-31 vs Allegheny W 75 - 60
2026-01-10 @ Wittenberg W 76 - 67
2026-01-14 vs Kenyon W 83 - 55
2026-01-17 @ Wooster W 71 - 59
2026-01-21 vs DePauw W 55 - 50
2026-01-24 vs Denison W 72 - 65
2026-01-31 @ Oberlin W 71 - 39
2026-02-04 vs John Carroll L 65 - 70
2026-02-07 vs Wittenberg W 65 - 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%
Macy Miller - 17 26.8 16.5 12.1 1.8 2.2 2.0 2.0 13.5 19.0 96 5.1 47.6 51.3 0 74.6 1.45 54.7 51.3
Alyssa Griner - 18 24.7 10.0 5.6 0.8 0.9 0.1 1.7 10.1 5.7 105 5.2 33.9 36.3 0.0 70.6 3.24 42.5 36.3
Maddie Ebbert - 18 22.9 9.0 5.6 1.9 1.3 0.3 1.9 7.5 8.7 86 4.5 27.3 39.3 30.0 60.2 5.06 46.6 40.4
Kendall Dieringer - 18 20.5 8.3 1.9 2.3 1.4 0.0 2.3 6.3 5.3 144 7.2 52.4 39.5 42.3 69.8 1.0 54.3 49.1
Nora Johns - 18 27.5 6.2 2.6 2.0 1.1 0.4 1.8 6.3 4.1 108 5.4 28.9 36.8 37.5 83.3 2.2 45.5 42.1
Mia Guscoff - 18 23.1 5.5 0.9 0.9 0.4 0.1 0.8 6.1 0.8 42 2.1 14.2 30.9 31.9 50.0 1.51 44.3 44.1
Katie Neuhart - 18 15.3 4.4 3.5 0.9 0.4 0.1 0.7 4.5 4.1 85 4.2 39.3 43.2 0.0 50.0 1.35 44.4 43.2
Carly Lehman - 18 14.4 3.8 2.3 0.9 0.8 0.2 0.7 3.7 3.6 127 6.3 72.7 41.8 27.6 50.0 0.87 48.3 47.8
Chloe Ebeling - 14 7.5 2.1 1.6 0.2 0.4 0.1 0.4 1.7 2.3 11 0.7 13.2 54.2 0 50.0 -1.08 54.4 54.2
Grace Heliger - 8 4.0 1.9 0.2 0.1 0.0 0.0 0.8 1.2 0.2 10 1.2 18.0 70.0 0 50.0 -0.15 68.9 70.0
Claire Wakim - 16 7.9 1.6 1.5 0.1 0.6 0.2 0.4 1.9 1.6 8 0.4 14.0 40.0 0.0 12.5 -1.36 37.3 40.0
Sophia Roush - 12 5.5 1.4 0.9 0.6 0.5 0.1 0.3 1.2 1.9 11 0.8 51.6 46.7 20.0 100.0 0.07 53.5 50.0
Bella Brader - 17 5.6 0.7 0.3 0.4 0.1 0.1 0.5 1.7 -0.6 7 0.4 10.4 10.3 10.7 75.0 0.94 19.5 15.5
Camryn Brunner - 6 2.0 0.7 0.5 0.2 0.0 0.0 0.2 0.3 0.8 0 0.0 0.0 100.0 0 0 0.33 100.0 100.0
Chloe Kelly - 5 2.6 0.6 0.4 0.0 0.0 0.0 0.2 0.6 0.2 3 0.6 52.9 33.3 50.0 0 -0.12 50.0 50.0
Alexandria Magers - 5 5.3 0.4 0.4 0.4 0.0 0.0 0.2 2.0 -1.0 1 0.1 11.1 0.0 0.0 100.0 0.32 9.2 0.0
Amia Tate - 5 2.0 0.0 0.2 0.0 0.0 0.0 0.2 0.4 -0.4 -3 -0.6 -79.1 0.0 0.0 0 -0.08 0.0 0.0
Skylar Grabow - 5 2.5 0.0 0.4 0.2 0.4 0.0 0.2 0.0 0.8 3 0.6 52.9 0 0 0 -0.12 0 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