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McKendree

Also known as: McKendree
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 β†’ 1113 (#38) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1183 (#52) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More β†’ 1198 (#11) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More β†’ +16.8 (#33) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More β†’ +14.3 (#107) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β†’ 0.629 (#267) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +6.8 More β†’ 0.674 (#236) NetEff +6.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.7 More β†’ 0.896 (#144) AdjNet +18.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.8 More β†’ 0.899 (#139) AdjNet +18.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.7 | AdjD 66.3 More β†’ 0.772 (#149) AdjO 79.7 | AdjD 66.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.0 | AdjD 63.0 More β†’ 0.732 (#54) AdjO 74.0 | AdjD 63.0
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 β†’ 0.823 (#49) 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 β†’ 0.817 (#44) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 23 More β†’ 1266 (#20) RD 100 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Southern Ill. L 42 - 83
2025-11-14 @ Tiffin W 63 - 44
2025-11-15 vs Malone W 65 - 53
2025-11-21 vs Hannibal-La Grange W 80 - 39
2025-11-25 vs Central Mo. L 67 - 75
2025-11-26 @ Concordia-St. Paul W 80 - 66
2025-12-01 vs Rockhurst W 95 - 85
2025-12-04 @ Ill. Springfield L 58 - 63
2025-12-11 @ Maryville (MO) W 70 - 50
2025-12-16 @ Roosevelt W 66 - 49
2025-12-19 @ Ferris St. W 75 - 70
2025-12-21 @ Hillsdale W 79 - 66
2026-01-02 vs Lewis W 68 - 44
2026-01-04 vs UIndy L 75 - 82
2026-01-08 @ Truman St. W 73 - 62
2026-01-10 @ William Jewell L 60 - 64
2026-01-15 vs Southwest Baptist W 69 - 62
2026-01-17 vs Drury W 89 - 76
2026-01-22 @ Missouri S&T W 70 - 59
2026-01-24 @ Lincoln (MO) W 60 - 48
2026-01-29 vs Mo.-St. Louis W 82 - 78
2026-01-31 vs Maryville (MO) W 88 - 71
2026-02-07 vs Ill. Springfield W 77 - 69

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%
Cha'Vez Woods - 21 28.9 14.8 3.7 1.6 0.7 0.1 2.1 10.8 8.0 92 4.6 21.1 41.4 34.7 80.8 -2.55 57.5 50.9
Rini Harris - 22 28.6 13.5 6.6 2.5 1.3 0.9 2.9 9.7 12.3 183 8.7 37.3 50.7 29.5 64.5 2.13 57.3 53.8
Joey Cabana - 1 31.0 13.0 1.0 4.0 1.0 0.0 0.0 9.0 10.0 -9 -0.5 -2.5 44.4 40.0 60.0 -0.3 58.0 55.6
Chang Hoth - 1 31.0 13.0 2.0 1.0 2.0 0.0 2.0 10.0 6.0 2 0.1 0.6 30.0 0.0 100.0 -1.4 49.7 30.0
Owen Hardy - 1 31.0 12.0 13.0 3.0 1.0 3.0 1.0 6.0 25.0 -23 -1.2 -6.9 83.3 0 100.0 0.14 87.2 83.3
Noah Franklin - 20 28.1 11.4 6.5 0.8 0.5 0.8 1.7 7.3 10.9 132 6.9 27.7 55.8 43.2 78.0 0.34 66.2 62.2
Andrew Moore - 22 27.4 11.4 5.2 1.9 1.1 0.2 1.3 8.2 10.3 135 6.4 27.8 48.6 37.3 72.6 3.3 58.9 54.7
Brandon Claerbaut - 1 36.0 7.0 2.0 2.0 0.0 1.0 3.0 8.0 1.0 -35 -1.8 -11.7 37.5 25.0 0 1.96 43.8 43.8
Moses Wilson - 11 14.7 5.3 2.2 0.5 1.2 0.5 0.6 3.5 5.6 13 1.3 36.7 63.2 33.3 54.5 0.29 67.7 68.4
Joshua SchΓΆnbΓ€ck - 20 14.3 4.7 2.1 0.6 0.5 0.1 0.8 3.3 4.0 29 2.6 16.1 51.5 40.9 60.7 -1.82 60.0 58.3
Wyatt Zellers - 22 24.8 4.0 3.4 0.6 0.5 0.3 0.9 3.7 4.1 132 6.3 35.8 36.6 31.4 66.7 1.15 48.9 46.3
Justin Asi - 1 11.0 4.0 2.0 0.0 0.0 0.0 0.0 5.0 1.0 -7 -0.5 -5.9 40.0 0.0 0 0.26 40.0 40.0
Justin King - 22 19.7 3.8 3.0 1.1 0.6 0.0 0.7 3.0 4.7 95 4.5 24.9 44.8 23.8 76.0 4.08 53.8 48.5
Caleb Burton - 17 10.7 3.4 0.6 0.2 0.3 0.0 0.2 2.3 1.9 -42 -2.6 -26.5 46.2 40.9 66.7 -2.58 60.7 57.7
Jakob Fredricksen - 22 11.4 2.7 2.0 0.4 0.1 0.0 0.6 2.3 2.4 56 2.8 39.7 41.2 36.4 37.0 -0.51 47.7 49.0
Bryce Moore - 1 15.0 2.0 1.0 0.0 1.0 0.0 2.0 3.0 -1.0 58 3.1 18.6 33.3 0.0 0 -3.87 33.3 33.3
Blake Pingeton - 3 8.3 2.0 0.7 0.0 0.3 0.0 0.0 4.0 -1.0 - - - 16.7 0.0 100.0 - 23.3 16.7
Grant Fridley - 17 6.7 1.9 0.7 0.2 0.2 0.0 0.1 1.5 1.4 0 0.0 0.0 38.5 35.0 62.5 -0.18 54.2 51.9
Jackson Wors - 5 5.9 1.6 0.8 0.2 0.0 0.0 0.0 2.0 0.6 -7 -1.4 -227.0 40.0 0.0 0.0 -0.08 38.3 40.0
Lachlan Clague - 2 10.9 0.0 3.0 0.0 0.0 0.0 0.5 2.0 0.5 - - - 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