🐻⬇️🏀

Kenyon

Also known as: Kenyon
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 → 955 (#324) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 854 (#504) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 852 (#650) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -9.5 (#285) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -9.6 (#495) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.017 (#702) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -13.5 More → 0.139 (#475) NetEff -13.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -31.4 More → 0.026 (#636) AdjNet -31.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -31.6 More → 0.022 (#636) AdjNet -31.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 48.7 | AdjD 67.1 More → 0.158 (#620) AdjO 48.7 | AdjD 67.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.9 | AdjD 66.6 More → 0.311 (#594) AdjO 57.9 | AdjD 66.6
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 → 0.233 (#575) 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 → 0.242 (#576) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 113 | GP 21 More → 849 (#461) RD 113 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Pitt.-Greensburg W 56 - 44
2025-11-11 vs Heidelberg W 79 - 71
2025-11-14 @ Bluffton L 61 - 91
2025-11-21 @ Olivet W 62 - 59
2025-11-22 @ Kalamazoo L 63 - 77
2025-11-25 vs Grove City L 66 - 69
2025-12-01 vs Capital L 55 - 70
2025-12-28 vs Wilkes L 62 - 72
2025-12-30 @ King's (PA) W 66 - 55
2026-01-10 vs John Carroll L 44 - 80
2026-01-14 @ Ohio Wesleyan L 55 - 83
2026-01-17 @ DePauw L 47 - 67
2026-01-21 vs Wooster W 72 - 60
2026-01-24 vs Oberlin L 57 - 67
2026-01-31 vs Denison L 58 - 85
2026-02-04 @ Wittenberg L 52 - 79
2026-02-07 @ John Carroll L 50 - 72

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%
Kiana Mollabashy - 17 23.4 9.9 4.4 1.4 1.2 1.1 2.8 9.4 5.8 -36 -1.8 -9.7 35.8 44.2 64.5 1.47 48.7 46.5
Susannah Zimmerman - 17 29.2 8.4 4.2 2.9 1.1 0.3 2.9 8.8 5.1 -71 -3.5 -17.5 33.3 28.3 76.3 -0.32 42.6 37.7
Anissa Hardy - 17 17.5 7.5 6.4 0.8 0.8 0.9 2.0 6.1 8.2 -69 -3.5 -26.2 43.7 0.0 75.5 0.78 51.0 43.7
Alyssa Horsley - 17 21.7 6.8 2.6 0.8 0.8 0.1 2.0 6.8 2.3 -48 -2.4 -13.6 32.8 21.1 80.0 0.94 43.4 36.2
Abby Burdette - 12 19.5 6.7 2.1 1.4 0.2 0.1 1.3 7.9 1.2 -66 -4.7 -22.5 33.7 29.4 50.0 -2.14 41.7 41.6
Antonia Marzini - 16 18.2 6.7 3.7 1.1 0.5 0.6 1.3 5.4 5.8 -66 -3.3 -24.2 48.8 37.5 66.7 -0.4 56.2 54.1
Alyssa Gest - 8 16.7 6.1 0.9 0.5 0.9 0.0 0.8 5.2 2.4 -39 -3.9 -32.9 38.1 43.3 80.0 0.74 55.4 53.6
Lauren Muoz - 1 20.0 4.0 2.0 0.0 1.0 0.0 2.0 4.0 1.0 - - - 50.0 0.0 0 - 50.0 50.0
Grace Murphy - 17 26.4 3.6 2.8 1.2 0.5 0.3 1.3 3.2 3.9 -104 -5.2 -27.8 44.4 41.7 42.9 -2.55 53.4 53.7
Rae Oberster - 17 10.2 3.2 1.5 0.8 0.6 0.1 0.9 2.7 2.5 -32 -1.6 -27.0 41.3 0.0 69.6 1.15 48.1 41.3
Lauren Muñoz - 15 15.6 2.8 1.5 1.1 1.1 0.1 1.4 3.6 1.5 -73 -3.8 -28.4 18.5 23.8 65.4 -2.43 32.1 23.1
Kate Snodgrass - 10 5.5 1.7 0.8 0.2 0.1 0.5 0.1 1.5 1.7 -1 -0.1 -1.6 46.7 0 100.0 -1.12 52.1 46.7
Melana Pomerants - 6 9.7 1.3 2.0 0.2 0.5 0.2 0.2 1.7 2.3 13 1.6 17.0 40.0 0 0 2.0 40.0 40.0
Eva Winston - 14 5.2 0.9 0.9 0.1 0.2 0.0 0.6 0.9 0.6 -26 -1.6 -20.8 33.3 25.0 75.0 -0.05 43.6 37.5
Katherine Organ - 16 5.8 0.9 0.6 0.2 0.0 0.0 0.3 1.2 0.2 -10 -0.5 -13.7 30.0 25.0 28.6 -0.92 32.5 32.5
Alana Hogan - 3 0.9 0.7 0.0 0.0 0.3 0.0 0.0 0.3 0.7 - - - 100.0 0 0 - 100.0 100.0
Lia Wahl - 5 3.8 0.2 0.6 0.4 0.6 0.2 0.4 0.2 1.4 -17 -2.4 -131.6 0.0 0 25.0 -0.23 18.1 0.0
Kate Voelmle - 4 1.2 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.2 - - - 0 0 0 - 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