πŸ»β¬‡οΈπŸ€

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†’ 1158 (#67) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1200 (#50) -
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 +2.7 More β†’ +17.1 (#39) HCA +2.7
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 (#112) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +6.8 More β†’ 0.674 (#229) NetEff +6.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.7 More β†’ 0.896 (#42) AdjNet +18.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.8 More β†’ 0.899 (#38) 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 (#48) 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. - Incomplete score
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 - Incomplete score
2026-01-24 @ Lincoln (MO) - Incomplete score
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
2026-02-12 @ UIndy L 77 - 79
2026-02-14 @ Lewis W 69 - 59
2026-02-19 vs Upper Iowa W 81 - 76
2026-02-21 vs Quincy W 86 - 56
2026-02-26 @ Rockhurst L 58 - 73
2026-02-28 @ Southwest Baptist L 63 - 64
2026-03-06 @ Ill. Springfield W 89 - 63
2026-03-07 @ William Jewell L 66 - 77

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Cha'Vez Woods - 29 29.3 15.7 3.7 1.8 0.7 0.1 1.9 10.6 9.5 - - - - 45.6 38.7 82.3 - 61.5 55.0
Rini Harris - 30 28.8 13.4 6.6 2.7 1.3 0.9 2.9 9.4 12.5 - - - - 50.5 33.9 66.0 - 57.9 54.1
Noah Franklin - 27 27.9 11.7 6.4 0.8 0.5 0.8 1.9 7.5 10.7 - - - - 55.7 41.4 76.7 - 65.6 61.6
Andrew Moore - 30 28.3 11.5 5.2 1.7 1.0 0.1 1.2 8.2 10.0 - - - - 49.8 35.9 66.7 - 58.7 55.5
Joshua SchΓΆnbΓ€ck - 27 13.0 4.8 2.1 0.4 0.5 0.1 0.7 3.4 3.9 - - - - 52.7 37.1 63.3 - 61.2 59.7
Moses Wilson - 12 12.3 4.8 1.9 0.4 1.0 0.5 0.4 2.9 5.3 - - - - 68.6 36.4 85.7 - 76.2 74.3
Wyatt Zellers - 30 24.9 4.4 3.1 0.6 0.4 0.3 0.8 4.0 4.0 - - - - 38.8 31.6 65.0 - 50.8 49.2
Justin King - 29 19.3 3.9 2.7 1.1 0.6 0.0 0.7 2.9 4.6 - - - - 45.2 22.2 75.6 - 55.4 48.8
Caleb Burton - 25 12.9 3.8 1.4 0.3 0.4 0.1 0.6 2.8 2.6 - - - - 44.3 30.2 83.3 - 59.0 53.6
Jakob Fredricksen - 30 10.6 2.4 1.7 0.4 0.2 0.0 0.5 2.2 2.0 - - - - 40.0 29.6 35.5 - 45.1 46.2
Jackson Wors - 8 3.7 1.6 0.8 0.1 0.0 0.0 0.1 1.4 1.0 - - - - 54.5 50.0 0 - 59.1 59.1
Grant Fridley - 25 6.6 1.5 0.8 0.2 0.2 0.0 0.2 1.3 1.3 - - - - 36.4 33.3 60.0 - 50.8 48.5
Blake Pingeton - 4 3.6 1.0 0.2 0.0 0.2 0.0 0.0 2.0 -0.5 - - - - 12.5 0.0 100.0 - 22.5 12.5
Rolen Adams - 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Lachlan Clague - 3 2.9 0.0 1.0 0.0 0.0 0.0 0.3 1.0 -0.3 - - - - 0.0 0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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