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Regis (CO)

Also known as: Regis (CO)
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 → 624 (#544) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 675 (#542) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 733 (#603) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → -16.3 (#363) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -21.9 (#539) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.188 (#495) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -90.9 More → 0.000 (#287) NetEff -90.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.6 More → 0.397 (#463) AdjNet -3.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.7 More → 0.394 (#463) AdjNet -3.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.7 | AdjD 77.2 More → 0.445 (#460) AdjO 74.7 | AdjD 77.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.6 | AdjD 88.5 More → 0.121 (#597) AdjO 66.6 | AdjD 88.5
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 → 0.102 (#580) 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 → 0.100 (#586) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 116 | GP 20 More → 598 (#516) RD 116 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ St. Mary's (TX) - Incomplete score
2025-11-16 @ Lubbock Christian - Incomplete score
2025-11-21 vs UT Tyler - Incomplete score
2025-11-22 vs Texas-Dallas - Incomplete score
2025-11-29 @ Northern Colo. - Incomplete score
2025-12-04 vs N.M. Highlands - Incomplete score
2025-12-13 @ Western Colo. - Incomplete score
2025-12-18 vs Neb.-Kearney - Incomplete score
2025-12-20 vs Fort Hays St. - Incomplete score
2026-01-03 @ Colorado Mesa - Incomplete score
2026-01-08 vs Black Hills St. - Incomplete score
2026-01-10 vs Chadron St. - Incomplete score
2026-01-15 @ UCCS - Incomplete score
2026-01-17 @ CSU Pueblo - Incomplete score
2026-01-20 @ MSU Denver - Incomplete score
2026-01-22 vs Colo. Sch. of Mines - Incomplete score
2026-01-29 @ Adams St. - Incomplete score
2026-01-31 @ N.M. Highlands - Incomplete score
2026-02-05 vs Westminster (UT) - Incomplete score
2026-02-07 vs Colorado Mesa - Incomplete score

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%
Luke Soden - 15 34.3 17.3 5.4 1.5 0.8 0.4 2.0 13.1 10.3 -287 -19.1 -55.1 44.4 42.0 66.7 -0.86 58.6 56.4
Cooper Frith - 16 32.4 14.4 1.8 2.6 1.0 0.1 2.7 10.5 6.7 -190 -11.9 -60.2 40.5 34.2 85.4 -2.34 56.6 47.9
Aaron Ofstun - 2 20.4 10.0 2.0 1.0 0.0 0.0 1.5 8.5 3.0 -19 -9.5 -28.3 52.9 100.0 33.3 0.16 54.6 55.9
Gunner Walters - 19 36.5 8.9 3.1 6.6 0.7 0.1 4.3 7.6 7.5 -415 -21.8 -75.9 44.4 30.0 75.0 -5.52 53.2 49.7
Myles Shields - 5 14.2 8.6 2.0 0.2 0.2 0.6 1.0 6.0 4.6 -22 -4.4 -163.5 63.3 50.0 40.0 1.34 66.8 68.3
Dyland Forbord - 19 29.5 7.8 4.3 0.8 0.6 0.7 1.3 5.7 7.2 -213 -11.8 -47.6 53.7 0.0 72.7 -1.51 58.1 53.7
Matt Yost - 18 29.8 7.6 5.1 1.6 1.3 0.5 2.2 7.1 6.7 -307 -17.1 -104.0 36.2 35.4 78.6 -1.32 49.2 45.3
Logan Peoples - 19 21.4 6.8 1.2 0.7 0.3 0.1 0.6 6.2 2.3 -54 -7.7 -73.1 36.8 30.9 84.6 3.61 50.2 45.7
Quinn Lambert - 3 30.0 5.7 6.0 1.0 0.3 0.0 1.3 5.3 6.3 -54 -18.0 -50.9 37.5 0 45.5 -2.51 40.8 37.5
Rifky Sedhom - 13 8.7 1.8 0.5 0.2 0.3 0.0 0.5 1.1 1.2 -82 -6.3 -63.5 57.1 0 77.8 -3.42 64.0 57.1

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