🐻⬇️🏀

Muskingum

Also known as: Muskingum
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 → 1079 (#133) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1178 (#49) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 954 (#595) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +3.8 (#75) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -7.3 (#487) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.416 (#516) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -1.1 More → 0.469 (#366) AdjNet -1.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -1.3 More → 0.463 (#368) AdjNet -1.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.6 | AdjD 76.3 More → 0.484 (#361) AdjO 75.6 | AdjD 76.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.2 | AdjD 80.3 More → 0.431 (#540) AdjO 77.2 | AdjD 80.3
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 → 0.429 (#455) 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 → 0.417 (#477) 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 21 More → 1003 (#368) RD 106 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 @ Carnegie Mellon W 75 - 74
2025-11-14 @ Transylvania W 92 - 81
2025-11-15 @ Asbury W 81 - 77
2025-11-20 vs La Roche W 94 - 67
2025-11-22 vs Westminster (PA) W 72 - 64
2025-11-25 vs Earlham W 82 - 72
2025-12-03 @ Capital W 95 - 78
2025-12-06 vs Baldwin Wallace W 80 - 61
2025-12-13 vs Mount Union L 82 - 85
2025-12-16 @ Allegheny W 93 - 82
2025-12-20 @ Heidelberg W 75 - 71
2026-01-02 vs Olivet L 70 - 87
2026-01-03 @ Hope W 98 - 93
2026-01-10 @ Ohio Northern L 65 - 73
2026-01-14 vs Wilmington (OH) W 113 - 90
2026-01-17 vs Otterbein L 62 - 78
2026-01-21 @ Marietta L 86 - 91
2026-01-24 @ Baldwin Wallace L 66 - 80
2026-01-31 vs Heidelberg W 95 - 86
2026-02-04 vs Capital L 79 - 97
2026-02-07 @ Mount Union L 62 - 88

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%
Duane Davis - 21 31.9 18.2 4.2 2.0 2.0 0.4 1.7 13.7 11.4 -33 -1.6 -6.7 53.7 27.8 57.9 -0.52 56.3 54.5
Owen Emig - 21 30.2 16.7 2.7 2.0 0.6 0.1 2.4 12.5 7.2 -52 -2.5 -11.2 42.6 38.9 85.2 0.47 58.8 53.6
J'Allen Barrino - 13 22.6 10.8 5.4 2.6 1.1 0.2 2.1 7.3 10.6 84 7.0 58.9 61.1 33.3 66.7 1.75 63.9 62.1
Alieu Ceesay - 17 23.0 8.9 3.5 1.4 1.0 0.4 1.8 6.7 6.7 10 0.6 7.1 54.4 25.0 86.7 -1.42 59.4 54.8
Phil Towns - 21 16.8 7.9 1.5 2.3 0.7 0.0 1.3 6.2 4.8 29 1.4 9.4 42.0 37.7 76.1 0.38 54.5 49.6
Nathan Walker - 21 22.7 6.6 4.0 0.9 0.8 0.2 0.7 5.0 6.7 -33 -1.6 -11.0 39.6 36.1 72.7 3.67 57.3 53.8
Roman Crosby - 21 14.9 6.5 2.7 0.9 0.1 0.3 1.0 5.1 4.5 24 1.2 11.7 45.8 35.4 75.9 -0.56 57.2 53.7
Brett Devault - 21 22.4 4.8 5.4 1.8 1.2 0.8 0.9 4.0 9.0 24 1.2 7.2 48.2 21.1 68.2 -0.9 53.3 50.6
Terrell Darden - 21 14.4 3.5 3.4 0.4 0.4 0.1 0.3 2.6 5.0 32 1.6 15.3 48.1 51.5 100.0 -3.16 65.5 63.9
Rob Oster - 10 4.3 2.1 0.5 0.2 0.0 0.0 0.1 1.8 0.9 2 0.2 2.9 38.9 33.3 100.0 0.87 54.3 50.0
Nemiah Waugh - 4 4.4 2.0 0.5 0.0 0.2 0.0 0.0 1.5 1.2 -7 -1.8 -32.7 50.0 100.0 33.3 -0.8 54.6 58.3
Skyler Nicholson - 3 1.9 1.7 0.0 0.0 0.3 0.0 0.0 1.0 1.0 0 0.0 0.0 66.7 50.0 0 0.03 83.3 83.3
Chance Allen - 15 5.5 1.3 1.3 0.1 0.2 0.2 0.2 1.3 1.5 -18 -1.4 -13.4 36.8 12.5 50.0 -0.32 42.2 39.5
Alex Taylor - 4 1.9 0.8 0.5 0.2 0.2 0.0 0.5 0.5 0.8 0 0.0 0.0 50.0 50.0 0 -0.08 75.0 75.0
Reed Coconis - 14 3.9 0.6 0.7 0.6 0.1 0.0 0.1 0.4 1.6 0 0.0 0.0 40.0 50.0 75.0 0.6 66.6 60.0
Logan Stotzer - 14 3.6 0.6 0.4 0.2 0.1 0.0 0.1 0.9 0.3 8 0.7 16.1 25.0 22.2 0 0.73 33.3 33.3
Tanner Holbert - 12 1.9 0.3 0.2 0.0 0.1 0.0 0.1 0.7 -0.1 -3 -0.3 -28.1 12.5 12.5 50.0 0.42 22.5 18.8
Konlan Mcintyre - 3 1.9 0.3 0.7 0.0 0.0 0.0 1.0 0.7 -0.7 -5 -2.5 -112.1 0.0 0.0 33.3 -0.72 15.1 0.0
Dylan Fox - 3 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 -0.3 -4 -2.0 -89.7 0.0 0.0 0 -0.72 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