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CUI

Also known as: CUI
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†’ 1032 (#143) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1015 (#160) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1000 (#281) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +6.9 (#139) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +0.4 (#320) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.517 (#159) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +54.1 More โ†’ 0.998 (#46) NetEff +54.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +5.2 More โ†’ 0.646 (#172) AdjNet +5.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.1 More โ†’ 0.694 (#152) AdjNet +7.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.1 | AdjD 68.4 More โ†’ 0.627 (#149) AdjO 74.1 | AdjD 68.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.4 | AdjD 67.1 More โ†’ 0.530 (#250) AdjO 68.4 | AdjD 67.1
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†’ 0.537 (#291) 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†’ 0.538 (#284) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 23 More โ†’ 1009 (#223) RD 94 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Cal St. San Marcos W 77 - 74
2025-11-15 vs Cal State LA W 77 - 62
2025-11-18 vs Cal Poly Pomona L 73 - 75
2025-11-22 vs CSUSB W 75 - 66
2025-11-26 @ Cal St. Dom. Hills L 63 - 75
2025-11-29 vs Cal St. East Bay L 58 - 68
2025-12-03 vs Westmont W 72 - 61
2025-12-06 vs Azusa Pacific W 80 - 76
2025-12-15 vs Dominican (CA) W 80 - 66
2025-12-18 vs Fresno Pacific W 89 - 61
2026-01-03 @ Dominican (CA) W 70 - 65
2026-01-05 @ Menlo L 68 - 75
2026-01-08 vs Vanguard L 56 - 59
2026-01-10 vs Point Loma L 64 - 74
2026-01-15 @ Fresno Pacific L 55 - 66
2026-01-17 @ Jessup W 81 - 77
2026-01-23 @ Hawaii Hilo L 63 - 73
2026-01-24 @ Hawaii Pacific L 61 - 67
2026-01-29 vs Jessup W 73 - 63
2026-01-31 vs Chaminade W 80 - 68
2026-02-03 vs Menlo W 78 - 66
2026-02-05 @ Azusa Pacific W 71 - 61
2026-02-07 vs Hawaii Hilo W 69 - 51
2026-02-11 @ Westmont L 65 - 76
2026-02-14 @ Vanguard L 69 - 76
2026-02-21 @ Point Loma L 59 - 85
2026-02-26 @ Biola L 58 - 70
2026-02-28 vs Hawaii Pacific W 93 - 90
2026-03-05 @ Fresno Pacific W 70 - 60
2026-03-06 @ Westmont L 73 - 82

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%
Macarhy Morris - 27 35.4 16.3 3.4 2.2 0.9 0.1 2.7 12.0 8.1 32 18 1.8 2.4 47.7 37.3 85.1 -1.52 58.3 52.0
Kaden Minter - 27 32.7 14.6 4.7 0.6 1.0 0.4 1.4 11.5 8.4 56 18 3.1 4.4 42.3 40.7 75.0 2.32 56.6 53.2
Marcellus Edwards - 27 28.0 11.7 2.3 1.4 1.1 0.1 2.1 9.6 4.9 31 18 1.7 2.8 41.9 27.3 75.2 0.33 51.3 44.8
Nicholas Corbett - 27 26.0 9.5 6.7 0.7 0.6 0.3 1.5 6.7 9.6 37 18 2.1 3.6 53.8 30.8 56.4 1.26 56.7 54.9
Radek Homer - 27 24.0 4.8 4.6 1.4 1.2 0.1 1.7 4.0 6.3 43 18 2.4 4.4 42.2 26.8 59.1 -0.24 50.2 47.2
Kevin Haupt - 24 14.9 4.5 1.1 1.2 0.5 0.0 0.6 3.7 3.1 -19 15 -1.3 -4.3 44.3 38.7 100.0 -2.22 59.6 58.0
Blake Ballard - 5 7.4 4.4 1.0 0.2 0.0 0.0 0.8 3.4 1.4 - - - - 52.9 33.3 50.0 -0.4 61.5 61.8
Jackson Tucker - 23 9.3 3.4 0.7 0.2 0.5 0.0 0.7 2.2 1.9 -9 14 -0.6 -3.2 51.0 31.2 77.8 -0.12 62.0 55.9
Ben Krystkowiak - 27 16.3 3.1 2.0 0.6 0.4 0.2 0.6 3.9 1.9 -31 18 -1.7 -5.0 31.1 20.4 57.1 -2.99 37.4 35.8
Logan Cremonesi - 27 11.8 2.3 2.7 0.3 0.6 0.1 0.8 1.8 3.3 17 18 0.9 3.7 47.9 0.0 51.7 1.87 50.2 47.9
Roman Rose - 3 2.1 2.0 0.0 0.0 0.0 0.0 0.0 1.3 0.7 - - - - 50.0 66.7 0 -0.69 75.0 75.0
James Freeman IV - 18 4.8 0.9 0.7 0.0 0.1 0.1 0.1 0.8 0.9 6 11 0.5 5.5 46.7 0 50.0 0.37 47.7 46.7
Akeem Akeredolu - 5 2.7 0.4 0.2 0.0 0.0 0.2 0.0 0.2 0.6 - - - - 100.0 0 0 -1.17 100.0 100.0

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