🐻⬇️🏀

Rockhurst

Also known as: Rockhurst
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 → 1045 (#113) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1184 (#49) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1172 (#25) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +21.7 (#10) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +22.5 (#45) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.666 (#241) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +58.0 More → 0.996 (#66) NetEff +58.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.9 More → 0.862 (#186) AdjNet +15.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +17.7 More → 0.887 (#155) AdjNet +17.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 86.3 | AdjD 73.0 More → 0.771 (#152) AdjO 86.3 | AdjD 73.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 89.8 | AdjD 71.4 More → 0.842 (#6) AdjO 89.8 | AdjD 71.4
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 → 0.898 (#10) 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 → 0.890 (#9) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 22 More → 1238 (#30) RD 97 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Davenport W 82 - 72
2025-11-15 @ Purdue Northwest W 85 - 78
2025-11-19 @ Washburn L 81 - 85
2025-11-25 @ Mo. Southern St. W 94 - 86
2025-11-29 vs Truman St. W 95 - 79
2025-12-01 @ McKendree L 85 - 95
2025-12-06 @ William Jewell W 76 - 59
2025-12-08 vs Calvary W 96 - 40
2025-12-13 vs Missouri Western L 74 - 78
2025-12-16 vs William Woods W 104 - 59
2025-12-20 vs Emporia St. W 92 - 72
2026-01-02 @ Drury L 98 - 104
2026-01-04 vs Southwest Baptist W 87 - 78
2026-01-08 vs Mo.-St. Louis W 85 - 79
2026-01-10 vs Maryville (MO) W 104 - 65
2026-01-15 @ Ill. Springfield W 84 - 56
2026-01-17 @ UIndy L 87 - 89
2026-01-22 vs Lewis W 96 - 68
2026-01-24 vs Upper Iowa W 100 - 89
2026-01-29 @ Quincy W 82 - 69
2026-01-31 @ Truman St. W 92 - 74
2026-02-05 vs William Jewell W 89 - 71

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%
Drenin Dinkins - 22 30.4 22.7 5.3 1.8 1.0 0.1 2.1 14.4 14.4 112 5.1 21.8 45.9 43.7 89.2 4.97 64.3 55.7
Jaylen Wesley - 22 33.1 21.4 6.4 2.3 2.0 0.4 2.7 13.0 16.8 149 6.8 27.9 52.8 41.4 82.6 2.98 66.0 59.1
Jaden Flournoy - 22 28.6 11.1 5.5 1.6 1.1 0.4 1.2 7.2 11.4 153 7.0 31.0 55.1 45.2 76.5 1.27 65.2 61.1
Dillon Mong - 19 21.7 6.9 4.2 1.1 0.4 0.3 0.9 6.3 5.5 48 2.5 14.3 40.3 29.9 68.2 3.0 50.9 48.7
Micah Deaver - 22 23.5 6.6 2.5 1.6 0.7 0.2 0.5 4.3 6.8 77 3.5 18.4 54.7 48.8 63.6 -1.6 66.2 65.3
Jack Scott - 21 17.8 6.2 3.0 0.8 0.3 0.8 0.6 4.7 5.7 65 3.1 23.0 55.6 34.9 71.4 -1.1 63.7 63.1
Peyton Newbern - 20 20.1 6.0 3.0 1.6 1.4 0.2 1.0 4.5 6.8 49 2.5 16.0 53.9 9.1 71.0 -0.48 58.0 54.5
Massi Malterer - 16 8.2 4.4 1.2 0.2 0.2 0.0 0.5 3.7 1.9 9 0.6 9.9 42.4 16.7 82.6 -2.61 50.6 43.2
London Burton - 20 9.0 3.5 0.8 0.4 0.5 0.1 0.4 2.9 1.9 23 1.1 26.3 40.4 22.7 81.8 -3.5 51.7 44.7
Callen Eskew - 5 7.6 2.4 2.4 0.4 0.2 0.4 0.2 2.0 3.6 25 5.0 179.1 40.0 0.0 57.1 -0.21 45.9 40.0
Landon Eiland - 16 11.4 2.4 1.8 0.6 0.2 0.2 0.5 2.2 2.5 5 0.3 2.9 36.1 23.8 57.1 0.03 46.3 43.1
Matthew Michalski - 2 7.5 1.5 2.5 0.0 0.0 0.0 0.5 1.5 2.0 - - - 33.3 0 33.3 - 34.7 33.3
Davit Abuladze - 11 7.1 1.4 0.5 0.3 0.2 0.2 0.1 1.5 0.9 12 1.1 52.4 37.5 37.5 0 -1.11 46.9 46.9
Tyler DeGroote - 14 4.9 1.1 1.7 0.1 0.1 0.1 0.0 0.9 2.3 28 2.0 66.1 46.2 0.0 33.3 -2.43 44.2 46.2
Spencer Engle - 3 0.9 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