Portland
Model Outputs
2024-2025
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1059 (#166) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.941 (#225) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.940 (#82) | NetEff +26.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.851 (#206) | AdjNet +15.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.844 (#214) | AdjNet +14.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.789 (#184) | AdjO 94.6 | AdjD 80.1 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-06 | vs | Lewis & Clark | W | 83 - 70 |
| 2024-12-16 | vs | Willamette | W | 100 - 69 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mezziah Oakman | - | 2 | 15.5 | 15.0 | 4.5 | 1.0 | 0.5 | 1.0 | 0.0 | 6.5 | 15.5 | - | - | - | 92.3 | 0 | 85.7 | - | 93.3 | 92.3 |
| Austin Rapp | - | 1 | 27.0 | 15.0 | 9.0 | 4.0 | 0.0 | 1.0 | 4.0 | 9.0 | 16.0 | - | - | - | 66.7 | 60.0 | 0 | - | 83.3 | 83.3 |
| Max Mackinnon | - | 2 | 24.0 | 14.5 | 7.0 | 5.5 | 2.0 | 1.0 | 3.5 | 10.5 | 16.0 | - | - | - | 52.4 | 62.5 | 50.0 | - | 63.7 | 64.3 |
| Bol Dengdit | - | 2 | 15.0 | 9.5 | 3.0 | 1.5 | 0.5 | 0.0 | 0.0 | 6.5 | 8.0 | - | - | - | 61.5 | 33.3 | 100.0 | - | 68.4 | 65.4 |
| Vincent Delano | - | 2 | 23.5 | 8.5 | 4.0 | 2.0 | 2.5 | 0.5 | 1.5 | 6.0 | 10.0 | - | - | - | 41.7 | 100.0 | 66.7 | - | 58.1 | 54.2 |
| Todd Jones | - | 2 | 18.0 | 8.0 | 5.5 | 3.5 | 0.0 | 3.0 | 1.5 | 6.0 | 12.5 | - | - | - | 58.3 | 0 | 50.0 | - | 58.1 | 58.3 |
| Vukasin Masic | - | 1 | 17.0 | 8.0 | 1.0 | 2.0 | 0.0 | 0.0 | 1.0 | 5.0 | 5.0 | - | - | - | 60.0 | 66.7 | 0 | - | 80.0 | 80.0 |
| Jermaine Ballisager Webb | - | 2 | 9.0 | 7.0 | 2.0 | 0.5 | 0.0 | 0.0 | 1.0 | 4.0 | 4.5 | 76 | 5.4 | 11.6 | 75.0 | 100.0 | 100.0 | 0.2 | 82.9 | 81.2 |
| Chris Austin | - | 2 | 25.5 | 5.5 | 4.0 | 1.5 | 0.5 | 0.0 | 2.0 | 4.5 | 5.0 | - | - | - | 44.4 | 50.0 | 66.7 | - | 53.3 | 50.0 |
| Mikah Ballew | - | 2 | 18.0 | 5.5 | 2.5 | 2.0 | 0.0 | 0.5 | 1.0 | 6.0 | 3.5 | - | - | - | 33.3 | 25.0 | 100.0 | - | 42.7 | 37.5 |
| Coleman Lemke | - | 2 | 10.5 | 4.0 | 1.0 | 1.5 | 0.0 | 0.0 | 0.5 | 3.0 | 3.0 | - | - | - | 50.0 | 40.0 | 0 | - | 66.7 | 66.7 |
| Kelson Gebbers | - | 1 | 17.0 | 3.0 | 3.0 | 1.0 | 0.0 | 1.0 | 2.0 | 2.0 | 4.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
| Jude Harris | - | 2 | 1.5 | 1.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 1.5 | 0.0 | 26 | 2.4 | 4.1 | 33.3 | 0.0 | 0 | 1.03 | 33.3 | 33.3 |
| Jinup Dobuol | - | 2 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | -1.0 | - | - | - | 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