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Colorado Mesa

Also known as: Colorado Mesa
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 → 1088 (#59) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1114 (#92) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1140 (#42) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +11.2 (#86) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +5.4 (#239) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.727 (#198) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.4 More → 0.387 (#258) NetEff -4.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.0 More → 0.864 (#182) AdjNet +16.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.1 More → 0.867 (#184) AdjNet +16.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.8 | AdjD 70.7 More → 0.750 (#179) AdjO 82.8 | AdjD 70.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.3 | AdjD 72.3 More → 0.589 (#163) AdjO 76.3 | AdjD 72.3
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 → 0.681 (#159) 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 → 0.679 (#149) 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 → 1132 (#91) RD 97 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ DBU W 78 - 77
2025-11-15 vs St. Edward's L 62 - 72
2025-11-21 vs Lubbock Christian L 75 - 77
2025-11-22 vs Western N.M. L 70 - 78
2025-11-28 vs Tex. A&M Int'l W 72 - 62
2025-11-29 vs Mont. St. Billings W 87 - 84
2025-12-04 @ UCCS L 80 - 92
2025-12-06 @ Colo. Christian W 57 - 43
2025-12-13 vs Colo. Sch. of Mines W 81 - 73
2025-12-19 vs Western Wash. L 73 - 83
2025-12-20 vs Simon Fraser W 78 - 69
2026-01-03 vs Regis (CO) W 90 - 62
2026-01-08 @ N.M. Highlands W 94 - 84
2026-01-10 @ Adams St. L 98 - 102
2026-01-13 @ Western Colo. W 75 - 61
2026-01-15 vs Westminster (UT) W 77 - 60
2026-01-22 vs Black Hills St. L 63 - 85
2026-01-24 vs Chadron St. W 86 - 68
2026-01-29 vs CSU Pueblo W 70 - 66
2026-01-31 vs UCCS W 95 - 83
2026-02-05 @ MSU Denver W 74 - 70
2026-02-07 @ Regis (CO) W 95 - 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%
Ty Allred - 22 34.5 18.5 8.0 1.7 0.8 1.0 2.5 12.4 15.2 72 3.3 11.6 50.7 40.4 84.1 1.94 63.6 58.1
Clayton Jewell - 22 25.5 11.3 7.1 1.5 0.7 1.1 1.5 8.1 12.1 84 3.8 16.4 53.9 35.7 85.0 -0.4 60.7 55.3
Cohen Gonzales - 21 26.7 11.1 2.0 2.6 0.7 0.1 1.8 8.6 6.2 -28 -2.0 -5.2 42.2 40.6 93.3 -4.68 58.3 53.1
Mason Honeyman - 11 21.8 10.7 2.3 1.9 0.7 0.2 2.3 7.8 5.7 -20 -1.8 -20.9 44.2 31.0 80.5 0.01 56.7 49.4
Harvey White - 22 25.9 10.5 1.9 3.4 0.9 0.2 1.6 8.4 6.9 44 2.0 7.5 50.3 32.8 78.1 3.28 58.0 55.7
Ben Henderson - 22 30.5 9.3 4.1 2.4 1.1 0.0 1.0 6.7 9.3 122 5.5 21.3 48.3 38.1 79.6 1.92 60.8 56.5
Wes Ball - 22 18.1 6.5 4.4 0.6 0.4 0.6 1.1 4.8 6.6 -36 -1.6 -9.6 54.3 75.0 68.8 -1.65 59.6 57.1
Jaylen Pitman - 12 15.9 4.2 2.2 0.5 0.3 0.2 0.7 3.2 3.6 9 0.8 4.8 50.0 33.3 83.3 1.6 57.8 52.6
Tevin Riehl - 14 6.0 3.2 0.6 0.6 0.2 0.0 0.3 2.2 2.1 15 1.1 13.7 51.6 46.2 50.0 1.52 70.6 71.0
Kapalisok Laila - 21 14.6 2.0 2.7 0.5 0.4 0.2 0.5 2.3 2.9 -9 -0.6 -5.0 32.7 18.2 83.3 -2.45 39.7 36.7
Ben Kaye - 16 4.7 0.7 0.6 0.2 0.1 0.2 0.3 0.8 0.7 -12 -0.8 -22.3 41.7 0 50.0 -1.12 42.7 41.7
Mason Farr - 4 1.7 0.0 0.5 0.2 0.0 0.0 0.5 0.2 0.0 -10 -2.5 -110.6 0.0 0.0 0 -0.77 0.0 0.0
Yanis Mahoundo - 1 1.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -2 -2.0 -71.6 0 0 0 -0.36 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