🐻⬇️🏀

Knox

Also known as: Knox
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 → 915 (#514) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 901 (#491) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 947 (#608) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -15.3 (#317) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -14.3 (#601) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.272 (#620) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -16.7 More → 0.127 (#601) AdjNet -16.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.0 More → 0.121 (#603) AdjNet -17.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.3 | AdjD 81.5 More → 0.232 (#621) AdjO 68.3 | AdjD 81.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.7 | AdjD 79.5 More → 0.351 (#629) AdjO 72.7 | AdjD 79.5
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 → 0.248 (#625) 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 → 0.266 (#622) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 21 More → 924 (#460) RD 99 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Westminster (MO) W 68 - 65
2025-11-11 @ Blackburn W 82 - 67
2025-11-15 vs Franklin L 84 - 93
2025-11-18 vs Eureka W 72 - 69
2025-11-25 @ Illinois Col. L 71 - 86
2025-12-02 @ Lawrence W 77 - 65
2025-12-06 vs Monmouth (IL) L 64 - 71
2025-12-10 @ Greenville W 131 - 127
2025-12-16 vs Coe L 62 - 77
2025-12-19 @ Williams L 56 - 94
2025-12-21 vs SUNY Maritime L 69 - 79
2025-12-31 vs Millikin L 80 - 92
2026-01-03 @ Lake Forest L 67 - 101
2026-01-07 @ Beloit W 77 - 58
2026-01-13 vs Cornell College L 68 - 92
2026-01-17 vs Lake Forest L 87 - 105
2026-01-21 vs Grinnell L 74 - 98
2026-01-24 @ Ripon W 81 - 77
2026-01-27 vs Illinois Col. L 58 - 61
2026-02-04 @ Cornell College W 85 - 73
2026-02-07 vs Beloit W 86 - 74

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%
Noah Campbell - 21 25.7 13.2 4.0 2.7 1.6 0.0 2.4 11.5 7.5 6 0.3 1.6 43.0 32.9 81.5 -0.2 52.3 48.3
Josh Stewart - 21 30.1 13.2 7.5 3.1 1.1 0.3 3.1 8.8 13.3 73 3.8 16.5 56.0 34.8 62.4 2.56 60.6 58.2
Russell Wright - 21 28.2 11.3 6.5 1.6 0.7 1.0 1.8 7.6 11.6 39 1.9 10.4 56.0 28.6 64.7 1.37 60.3 57.2
Willie Rogers III - 20 20.1 7.7 3.1 1.4 0.7 0.3 3.0 7.1 3.2 -19 -0.9 -7.4 33.1 26.9 65.0 1.61 45.7 40.5
Ryan Erdos - 17 16.0 6.6 2.8 0.5 0.3 0.3 0.3 5.2 5.1 -6 -0.4 -3.8 48.9 38.3 80.0 -0.23 60.6 59.1
Aydan Ayer - 21 21.3 6.0 3.6 2.0 1.2 0.3 1.8 5.5 5.8 61 2.9 16.5 36.5 39.5 59.6 0.05 46.8 43.0
Carl Dortch - 21 13.0 5.3 1.9 0.2 0.3 0.1 0.7 4.2 2.9 -2 -0.1 -0.9 52.8 0 47.4 -0.5 53.0 52.8
Denim Tuala-Fata - 19 15.4 4.8 3.7 0.6 0.5 0.3 0.7 3.9 5.2 55 2.9 27.9 56.8 0.0 50.0 1.83 56.8 56.8
Vladimir Marinov - 21 11.8 3.9 1.7 1.1 0.4 0.0 0.8 3.4 3.0 -21 -1.0 -17.5 38.0 30.2 57.1 -1.09 51.1 49.3
Braedy Phelan - 17 11.6 3.3 1.6 0.8 0.7 0.1 1.4 2.7 2.4 15 0.9 16.7 32.6 35.7 56.8 -2.7 45.0 38.0
B.J. Cooley - 18 10.5 2.6 0.9 0.7 0.3 0.0 1.1 2.2 1.3 -21 -1.2 -17.8 35.0 30.0 86.7 -1.69 50.4 42.5
Cameron Betker - 9 7.1 1.3 1.2 0.4 0.8 0.2 0.2 1.6 2.2 - - - 42.9 0.0 0.0 - 40.3 42.9
Damarcus Harbor - 2 1.5 1.0 0.0 0.0 0.0 0.0 0.0 0.5 0.5 - - - 100.0 0 0 - 100.0 100.0
Jakob Morgenstern - 8 6.4 0.8 0.9 0.2 0.1 0.5 0.5 0.6 1.4 -12 -1.5 -64.6 40.0 0 100.0 -0.35 51.0 40.0
Logan Nicholas - 6 4.1 0.7 0.2 0.0 0.0 0.0 0.5 2.2 -1.8 - - - 7.7 0.0 100.0 - 14.4 7.7
Zach Hendrickx - 7 4.6 0.3 0.4 0.1 0.1 0.0 0.0 0.7 0.3 - - - 20.0 0.0 0 - 20.0 20.0
Marcus Carter - 2 2.1 0.0 0.0 0.0 0.0 0.0 1.0 0.5 -1.5 4 1.0 252.6 0.0 0 0 0.0 0.0 0.0
Lamarcus Harbor - 3 0.6 0.0 0.0 0.0 0.0 0.0 0.0 0.3 -0.3 - - - 0.0 0 0 - 0.0 0.0
Jayden McNabb - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 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