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Colo. Sch. of Mines

Also known as: Colo. Sch. of Mines
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 → 1058 (#91) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1015 (#237) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1071 (#103) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +7.5 (#131) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +4.6 (#251) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.757 (#181) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +88.0 More → 1.000 (#9) NetEff +88.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.8 More → 0.861 (#187) AdjNet +15.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.8 More → 0.863 (#189) AdjNet +15.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.3 | AdjD 69.3 More → 0.750 (#180) AdjO 81.3 | AdjD 69.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.0 | AdjD 72.2 More → 0.587 (#164) AdjO 76.0 | AdjD 72.2
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 → 0.616 (#222) 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 → 0.614 (#215) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 25 More → 1041 (#186) RD 96 | GP 25

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Central Mo. L 84 - 96
2025-11-08 @ Neb.-Kearney L 76 - 85
2025-11-09 @ Angelo St. L 66 - 74
2025-11-14 @ Lubbock Christian L 58 - 63
2025-11-16 @ St. Mary's (TX) L 62 - 68
2025-11-21 vs Texas-Dallas W 85 - 56
2025-11-22 vs UT Tyler L 79 - 87
2025-11-25 @ Colorado Col. W 105 - 72
2025-12-04 vs Adams St. W 97 - 87
2025-12-06 vs N.M. Highlands W 81 - 80
2025-12-11 @ Westminster (UT) L 70 - 87
2025-12-13 @ Colorado Mesa L 73 - 81
2025-12-20 vs Mont. St. Billings L 66 - 81
2025-12-21 vs Rollins W 72 - 70
2026-01-03 vs Northern N.M. W 92 - 84
2026-01-08 vs Chadron St. W 74 - 60
2026-01-10 vs South Dakota Mines W 88 - 72
2026-01-15 @ CSU Pueblo L 54 - 63
2026-01-17 @ Colo. Christian W 69 - 56
2026-01-22 @ Regis (CO) W 120 - 81
2026-01-24 vs MSU Denver W 83 - 69
2026-01-29 @ Fort Lewis L 70 - 78
2026-01-31 @ Adams St. L 78 - 96
2026-02-05 vs Western Colo. W 84 - 67
2026-02-07 vs Westminster (UT) W 77 - 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%
Markus Pastorcic-Straun - 14 30.6 19.9 4.4 3.5 0.9 0.1 2.1 12.3 14.4 20 1.4 4.8 52.9 47.1 63.5 -0.88 61.1 57.6
Alex Romack - 25 30.0 13.7 9.4 2.2 1.1 1.0 2.0 9.3 16.0 65 2.6 7.8 54.3 20.0 68.2 1.22 59.2 54.7
Jonathan Moore - 18 25.7 12.5 5.3 1.6 0.5 1.8 2.1 8.1 11.6 23 1.3 6.4 48.6 47.9 89.1 -1.45 66.1 60.3
Shelton Henton - 25 22.2 10.6 2.3 1.9 0.7 0.1 1.2 7.9 6.6 88 3.5 15.1 43.7 43.4 81.6 -1.58 62.2 59.6
Kasen Lehman - 10 18.8 9.2 1.6 0.5 1.0 0.1 0.9 7.4 4.1 15 1.5 7.0 45.9 37.0 50.0 0.21 59.3 59.5
Kellon Johnson - 25 26.5 7.3 2.5 1.8 0.8 0.2 1.3 6.0 5.4 14 0.6 2.5 45.0 28.2 64.9 2.45 54.4 52.3
Will Essman - 6 18.4 7.3 4.8 0.5 0.7 0.3 0.7 5.7 7.3 20 4.0 14.0 50.0 36.8 60.0 0.11 60.8 60.3
Trent Minter - 25 22.1 5.5 4.2 3.4 0.9 0.4 1.9 4.8 7.7 39 1.6 5.8 42.1 17.2 77.5 0.31 49.8 44.2
Cooper Mroczek - 24 12.4 5.5 2.2 0.8 0.3 0.2 1.0 3.9 4.2 36 1.5 13.5 43.0 35.3 71.4 -0.39 58.0 52.7
Will Cordonnier - 24 12.9 4.3 2.5 1.0 0.6 0.4 0.6 4.7 3.6 15 0.6 3.7 32.1 25.0 66.7 1.04 42.0 38.8
Braydon Jacob - 25 18.0 4.3 1.5 1.6 0.6 0.1 0.7 4.3 3.0 24 1.0 5.4 32.4 28.6 80.0 0.33 46.2 42.6
Matija Jordovic - 13 4.5 1.2 0.8 0.5 0.2 0.0 0.5 1.2 1.0 -3 -0.2 -4.4 26.7 20.0 71.4 1.94 41.5 33.3
Derek Lamb - 23 6.2 1.2 1.8 0.3 0.1 0.3 0.3 1.3 2.2 4 0.2 3.6 38.7 25.0 27.3 0.69 39.1 40.3
Silas McCurnin - 12 4.7 0.8 0.2 0.2 0.1 0.0 0.1 0.8 0.3 -2 -0.2 -4.4 30.0 12.5 100.0 2.18 41.4 35.0

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