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UCCS

Also known as: UCCS
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 → 993 (#192) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1041 (#195) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 976 (#417) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +7.9 (#128) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -0.1 (#333) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.576 (#298) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +6.8 More → 0.686 (#307) AdjNet +6.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +6.7 More → 0.686 (#314) AdjNet +6.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.6 | AdjD 77.5 More → 0.615 (#310) AdjO 82.6 | AdjD 77.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 84.8 | AdjD 85.6 More → 0.481 (#343) AdjO 84.8 | AdjD 85.6
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 → 0.499 (#313) 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 → 0.488 (#326) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 23 More → 986 (#235) RD 95 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Midwestern St. L 90 - 97
2025-11-15 @ Cameron W 91 - 85
2025-11-22 @ Cal Poly Pomona W 85 - 84
2025-11-23 @ Cal St. Dom. Hills L 83 - 87
2025-11-28 @ Western Wash. W 85 - 81
2025-11-29 @ Simon Fraser L 84 - 87
2025-12-04 vs Colorado Mesa W 92 - 80
2025-12-06 vs Westminster (UT) W 80 - 79
2025-12-11 @ Black Hills St. L 92 - 97
2025-12-13 @ Chadron St. W 100 - 74
2025-12-16 @ Denver L 93 - 129
2025-12-19 vs Bethany (KS) W 103 - 83
2026-01-02 vs Western Colo. W 98 - 89
2026-01-06 @ Colo. Christian L 87 - 88
2026-01-08 vs CSU Pueblo L 73 - 82
2026-01-15 vs Regis (CO) W 93 - 74
2026-01-17 vs MSU Denver W 98 - 85
2026-01-22 @ N.M. Highlands L 79 - 94
2026-01-24 @ Fort Lewis L 84 - 90
2026-01-29 @ Western Colo. W 93 - 82
2026-01-31 @ Colorado Mesa L 83 - 95
2026-02-05 vs South Dakota Mines W 89 - 77
2026-02-07 vs Black Hills St. L 81 - 112

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%
Marzouq Ibn Abdur-Razaaq - 23 22.7 13.6 6.1 1.0 0.7 0.1 1.4 9.5 10.6 73 3.2 15.4 56.9 37.5 67.1 0.47 61.9 59.6
Mario Williams Jr. - 23 23.3 12.6 3.1 0.5 0.7 0.3 0.6 9.5 7.0 107 4.7 25.2 43.4 34.1 73.1 -0.72 57.0 53.0
Xavier Martinez - 22 28.7 12.0 2.2 4.7 1.6 0.0 2.3 9.0 9.4 -3 -0.1 -0.6 43.7 32.0 77.9 -0.34 57.0 51.5
Brody Hull - 23 23.4 11.8 4.5 1.6 1.4 0.3 2.3 8.0 9.3 86 3.9 19.4 45.1 31.0 84.7 0.73 59.7 51.1
Gavin Carter - 19 16.9 7.7 2.0 1.5 0.8 0.1 1.3 5.9 4.9 -19 -1.1 -6.9 50.0 23.1 56.4 -3.33 53.6 51.3
Jayden Washington - 3 18.1 7.3 4.7 1.0 1.7 0.3 0.7 5.0 9.3 8 2.7 6.5 60.0 50.0 50.0 -0.68 69.3 70.0
Derik Pranger - 11 13.3 6.3 2.0 0.5 0.2 0.3 0.8 6.3 2.1 -16 -1.5 -12.4 33.3 29.3 78.6 -1.38 45.9 42.0
Alexander Hurr - 21 13.5 6.3 2.1 0.6 0.2 0.0 0.6 4.7 4.0 -30 -1.4 -17.0 49.5 38.5 60.9 -2.1 60.5 59.6
Jezza McKenzie - 23 21.1 6.1 3.8 1.7 0.7 0.3 1.0 4.7 7.1 37 1.8 9.3 42.1 39.2 67.4 1.4 55.4 51.4
Shawn Williams - 23 13.9 5.3 3.3 0.9 0.6 0.4 1.0 4.2 5.3 13 0.6 6.2 55.7 0 51.7 1.61 56.0 55.7
Tre Lucia - 23 7.5 4.0 0.7 0.4 0.4 0.0 0.4 3.0 2.1 25 1.1 23.0 48.5 44.2 87.5 0.37 64.3 62.5
Evan McKean - 23 13.6 3.7 1.7 0.8 0.7 0.0 0.8 3.7 2.3 13 0.6 5.4 34.1 26.5 54.5 -0.59 42.7 39.4
Brady Jones - 7 4.5 3.1 0.9 0.1 0.1 0.1 0.0 1.6 2.9 -29 -4.8 -71.7 90.9 0 100.0 -1.05 92.6 90.9
Gunter Daniels - 3 3.9 3.0 1.0 0.0 0.0 0.3 0.0 2.0 2.3 - - - 33.3 33.3 100.0 - 58.0 41.7
James Ellis - 16 7.8 2.8 1.2 0.4 0.2 0.1 0.4 1.9 2.6 10 0.7 25.5 53.3 47.6 75.0 0.45 70.8 70.0
Greg Gerhardt - 3 3.1 0.7 0.0 0.0 0.0 0.0 0.3 0.7 -0.3 - - - 50.0 0 0 - 50.0 50.0
Joshua Ray - 17 5.1 0.7 1.0 0.4 0.2 0.0 0.5 0.6 1.3 110 5.5 83.3 50.0 0 50.0 -2.64 51.0 50.0
Azar Ghezae - 3 2.9 0.0 0.3 0.0 0.0 0.0 0.3 0.7 -0.7 - - - 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