Colorado Mesa
Model Outputs
2024-2025
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 → | 1087 (#91) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.3 (#110) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.727 (#198) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.550 (#198) | NetEff +1.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.864 (#182) | AdjNet +16.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.867 (#184) | AdjNet +16.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.750 (#179) | AdjO 82.8 | AdjD 70.7 |
2025 Schedule & Results
2025 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 | - | 29 | 32.1 | 14.7 | 6.4 | 1.7 | 0.9 | 0.8 | 1.7 | 10.6 | 12.1 | 72 | 1.9 | 5.5 | 46.4 | 37.5 | 83.3 | 1.5 | 60.8 | 56.2 |
| Will Mortimore | - | 29 | 22.8 | 11.0 | 6.8 | 1.0 | 0.8 | 0.1 | 2.4 | 7.7 | 9.6 | -31 | -1.2 | -3.1 | 53.6 | 0.0 | 68.1 | 0.65 | 58.0 | 53.6 |
| Yaak Yaak | - | 29 | 23.9 | 10.6 | 6.2 | 1.2 | 0.4 | 1.7 | 1.0 | 8.3 | 10.7 | 1 | 0.1 | 0.1 | 48.3 | 20.0 | 77.5 | 0.85 | 54.6 | 49.2 |
| Harvey White | - | 29 | 25.8 | 9.7 | 1.9 | 2.9 | 1.1 | 0.1 | 2.4 | 9.2 | 4.2 | -25 | -0.7 | -2.4 | 39.7 | 35.6 | 75.6 | 0.85 | 49.2 | 46.4 |
| Mason Honeyman | - | 29 | 23.6 | 8.8 | 2.8 | 2.0 | 1.1 | 0.2 | 2.2 | 7.9 | 4.9 | -84 | -2.7 | -9.6 | 37.3 | 27.0 | 76.2 | -0.66 | 48.4 | 42.5 |
| Christopher Speller | - | 29 | 27.6 | 7.2 | 4.1 | 2.4 | 1.2 | 0.1 | 1.9 | 5.1 | 8.1 | -95 | -4.8 | -10.9 | 49.7 | 32.1 | 73.6 | -0.1 | 58.1 | 52.7 |
| Jaylen Pitman | - | 29 | 17.3 | 4.0 | 2.0 | 0.9 | 0.7 | 0.1 | 0.8 | 3.2 | 3.8 | -3 | -0.1 | -0.7 | 53.3 | 18.8 | 78.9 | -0.13 | 57.8 | 54.9 |
| Austin Thyne | - | 29 | 6.9 | 1.9 | 0.6 | 0.3 | 0.2 | 0.0 | 0.3 | 1.6 | 1.2 | 9 | 0.6 | 2.1 | 42.2 | 40.0 | 100.0 | 0.59 | 59.9 | 57.8 |
| Emilek Jallow | - | 29 | 8.0 | 1.2 | 1.7 | 0.2 | 0.2 | 0.7 | 0.3 | 0.9 | 2.7 | 139 | 5.3 | 61.5 | 44.4 | 45.5 | 50.0 | 0.41 | 54.3 | 53.7 |
| Tevin Riehl | - | 28 | 4.9 | 1.2 | 0.5 | 0.5 | 0.3 | 0.0 | 0.2 | 1.0 | 1.4 | 39 | 2.8 | 18.0 | 42.9 | 40.9 | 50.0 | 0.26 | 58.8 | 58.9 |
| Ben Kaye | - | 29 | 2.0 | 0.9 | 0.5 | 0.0 | 0.0 | 0.1 | 0.1 | 0.7 | 0.7 | 10 | 0.7 | 34.1 | 52.6 | 0 | 60.0 | -0.74 | 55.6 | 52.6 |
| Harley Kent | - | 29 | 2.5 | 0.5 | 0.4 | 0.2 | 0.2 | 0.0 | 0.2 | 0.7 | 0.4 | 35 | 7.0 | 32.2 | 25.0 | 9.1 | 100.0 | -0.11 | 32.8 | 27.5 |
| Eric Pollert | - | 27 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | 11 | 2.8 | 187.2 | 66.7 | 0 | 0.0 | -1.44 | 42.0 | 66.7 |
| Paul Agamba | - | 9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Malakye Cunningham | - | 8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 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