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Coker

Also known as: Coker
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 โ†’ 837 (#245) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 799 (#267) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +73 elo More โ†’ 888 (#263) HCA +73 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ -3.6 (#258) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -4.2 (#254) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.127 (#283) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.6 More โ†’ 0.320 (#263) AdjNet -6.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.4 More โ†’ 0.322 (#262) AdjNet -6.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.9 | AdjD 78.0 More โ†’ 0.386 (#262) AdjO 72.9 | AdjD 78.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 80.4 More โ†’ 0.314 (#276) AdjO 71.8 | AdjD 80.4
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 โ†’ 0.337 (#258) 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 โ†’ 0.322 (#264) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 180 | GP 28 More โ†’ 832 (#249) RD 180 | GP 28

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Ferrum W 81 - 73
2025-11-15 vs Converse L 57 - 92
2025-11-25 @ Fayetteville St. L 79 - 86
2025-11-29 @ Tusculum L 68 - 70
2025-12-03 @ Mount Olive L 80 - 89
2025-12-06 vs Carson-Newman L 72 - 78
2025-12-10 vs Newberry L 54 - 67
2025-12-13 @ Mars Hill L 81 - 86
2025-12-17 @ Catawba L 66 - 91
2025-12-20 @ Emmanuel (GA) L 65 - 68
2025-12-21 vs Young Harris L 69 - 88
2026-01-03 vs UVA Wise L 84 - 102
2026-01-07 @ Anderson (SC) L 55 - 88
2026-01-10 vs Emory & Henry L 58 - 69
2026-01-14 vs Lenoir-Rhyne L 79 - 105
2026-01-17 @ Lincoln Memorial L 72 - 84
2026-01-21 @ Wingate L 67 - 87
2026-01-24 vs Tusculum - Incomplete score
2026-01-28 @ Newberry - Incomplete score
2026-01-30 @ Carson-Newman - Incomplete score
2026-02-04 vs Catawba W 92 - 85
2026-02-07 vs Mars Hill W 75 - 69
2026-02-11 vs Anderson (SC) L 70 - 97
2026-02-14 @ UVA Wise L 69 - 86
2026-02-18 @ Lenoir-Rhyne L 72 - 107
2026-02-21 vs Lincoln Memorial W 81 - 76
2026-02-25 vs Wingate L 58 - 81
2026-02-28 @ Emory & Henry L 63 - 78

2026 Roster

Estimated Minutes by Position

Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Isayah Owens - 14 35.3 20.1 2.8 4.5 1.7 0.0 3.0 15.0 11.1 -134 12 -11.2 -14.3 45.7 35.8 83.3 -2.41 58.1 52.6
Zundra Jackson - 24 32.8 15.3 5.0 2.3 1.8 0.3 2.1 12.8 9.9 -159 22 -7.2 -9.9 40.9 26.7 64.5 0.9 49.9 45.3
Aaron Hall - 26 30.6 13.6 5.8 1.8 0.6 0.2 2.6 10.2 9.2 -268 25 -10.7 -15.7 50.4 24.0 83.1 -4.01 58.0 52.6
Xavier Moultrie - 26 22.8 7.9 2.9 2.4 1.2 0.0 2.1 6.6 5.8 -140 24 -5.8 -10.6 45.0 37.8 76.9 1.57 56.2 54.1
Jonah Vaysbakh - 26 21.2 6.6 1.3 1.1 0.3 0.0 0.5 5.1 3.8 -119 24 -5.0 -10.1 43.2 43.8 100.0 -1.24 63.3 61.7
Predrag Panisic - 27 25.1 6.4 4.8 1.8 0.5 0.5 1.6 6.3 6.0 -119 25 -4.8 -8.7 38.6 28.2 64.3 1.14 46.9 45.0
Adonis Thomas - 11 13.9 4.5 1.7 0.8 0.2 0.0 0.5 4.7 2.0 -85 10 -8.5 -24.9 34.6 30.0 83.3 -1.64 45.8 43.3
Ryan Webster - 26 14.8 4.0 1.4 0.9 0.2 0.0 0.8 3.7 2.1 -122 23 -5.3 -16.1 36.5 31.0 84.2 -2.29 49.8 45.8
Matthew Knafelz - 26 19.2 3.8 3.8 1.1 0.6 0.5 1.2 2.5 6.0 -96 24 -4.0 -9.3 64.1 0.0 64.0 0.44 65.3 64.1
Brady Franz - 7 12.7 3.3 1.4 0.4 0.4 0.1 0.6 4.0 1.1 -58 5 -11.6 -32.3 35.7 7.7 66.7 -5.17 39.2 37.5
Iason Binis - 22 8.2 2.6 1.8 0.2 0.1 0.1 0.5 2.4 2.0 -79 20 -4.0 -21.3 51.9 0 50.0 -4.04 52.2 51.9
Cyncier Harrison - 3 22.6 2.3 1.3 2.7 0.3 0.0 0.3 4.3 2.0 -10 3 -3.3 -6.6 23.1 16.7 0.0 -1.44 26.0 26.9
Rodney Brown - 8 6.1 1.8 0.6 0.2 0.1 0.0 0.2 2.4 0.1 - - - - 26.3 23.5 0 - 36.8 36.8
Austin Glasscho - 8 9.1 1.5 1.0 0.5 0.5 0.1 0.6 1.4 1.6 -15 7 -2.1 -9.4 45.5 33.3 100.0 -0.05 52.4 50.0
Avantae Hood - 3 2.6 1.3 0.0 0.0 0.0 0.0 0.3 1.0 0.0 4 2 2.0 34.8 33.3 0.0 100.0 0.22 51.5 33.3

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