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Colorado St.

Also known as: Colorado St.
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

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 → 1024 (#201) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1036 (#217) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1036 (#179) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +33.1 (#26) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.998 (#74) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +66.9 More → 1.000 (#36) NetEff +66.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +48.5 More → 0.997 (#40) AdjNet +48.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +48.3 More → 0.997 (#44) AdjNet +48.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.1 | AdjD 49.0 More → 0.944 (#43) AdjO 80.1 | AdjD 49.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.4 | AdjD 62.5 More → 0.521 (#306) AdjO 63.4 | AdjD 62.5
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 → 0.780 (#118) 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 → 0.772 (#116) Blend of Elo, BT, Margin, PythLog, PtsOD

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-21 vs South Dakota Mines W 92 - 56

2024 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%
McKenna Hofschild - 1 34.0 20.0 2.0 14.0 2.0 0.0 2.0 14.0 22.0 - - - 57.1 50.0 100.0 - 67.2 64.3
Marta Leimane - 1 31.0 18.0 5.0 0.0 4.0 0.0 0.0 9.0 18.0 - - - 77.8 100.0 50.0 - 83.6 88.9
Kendyll Kinzer - 1 15.0 10.0 1.0 1.0 0.0 1.0 0.0 6.0 7.0 - - - 66.7 50.0 0 - 83.3 83.3
Jackie Carman - 1 12.0 7.0 1.0 0.0 0.0 0.0 0.0 4.0 4.0 - - - 50.0 33.3 50.0 - 60.8 62.5
Jadyn Fife - 1 10.0 7.0 3.0 0.0 1.0 0.0 0.0 4.0 7.0 - - - 75.0 50.0 0 0.25 87.5 87.5
Sanna Strom - 1 25.0 6.0 5.0 0.0 2.0 0.0 2.0 7.0 4.0 - - - 28.6 50.0 0 - 42.9 42.9
Cali Clark - 1 10.0 6.0 3.0 0.0 1.0 1.0 0.0 6.0 5.0 -13 -2.2 -3.2 50.0 0 0 0.08 50.0 50.0
Cailyn Crocker - 1 15.0 6.0 4.0 2.0 1.0 0.0 1.0 4.0 8.0 - - - 75.0 0 0 - 75.0 75.0
Sydney Mech - 1 27.0 5.0 1.0 2.0 2.0 3.0 0.0 4.0 9.0 - - - 50.0 33.3 0 - 62.5 62.5
Meghan Boyd - 1 6.0 5.0 0.0 1.0 0.0 0.0 0.0 2.0 4.0 - - - 100.0 100.0 0 -0.1 125.0 125.0
Hannah Ronsiek - 1 15.0 2.0 4.0 3.0 0.0 1.0 0.0 4.0 6.0 - - - 25.0 0.0 0 0.47 25.0 25.0

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