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Western Colorado Mountaineers

Season: 2025 2024 2023 2022
Also known as: Western Colorado Mountaineers
Program History

Model Outputs

2021-2022
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 → 973 (#411) -
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 887 (#690) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 945 (#534) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 876 (#704) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 998 (#207) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → -4.3 (#556) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → -11.2 (#484) HCA +2.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.6 | AdjD 69.7 More → 0.475 (#354) AdjO 68.6 | AdjD 69.7
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 → 0.278 (#483) 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 → 0.321 (#470) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 928 (#366) RD 350 | GP 1

2022 Schedule & Results

Date Vs/At Opponent Result Score
2021-11-09 @ Weber State Wildcats L 60 - 100

2022 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%
A. Rembao A. Rembao - 1 16.0 12.0 2.0 2.0 0.0 0.0 2.0 0.0 14.0 - - - 0 0 0 - 0 0
J. McCloud J. McCloud - 1 18.0 4.0 1.0 0.0 0.0 0.0 4.0 0.0 1.0 - - - 0 0 0 - 0 0
D. Conkright D. Conkright G 1 5.0 2.0 2.0 0.0 0.0 0.0 0.0 0.0 4.0 - - - 0 0 0 - 0 0
K. Juelfs K. Juelfs G 1 21.0 0.0 7.0 2.0 0.0 0.0 3.0 0.0 6.0 - - - 0 0 0 - 0 0
J. McCloud J. McCloud - 1 15.0 0.0 4.0 1.0 0.0 0.0 3.0 0.0 2.0 - - - 0 0 0 - 0 0
T. Lieck T. Lieck F 1 4.0 0.0 4.0 0.0 0.0 0.0 0.0 0.0 4.0 - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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