Douglas (CAN)
Also known as: Douglas (CAN)
Program History
Model Outputs
2025-2026
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 → | 968 (#432) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 881 (#516) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 951 (#601) | HCA +56 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -41.6 (#428) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -37.8 (#775) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.002 (#793) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.001 (#795) | AdjNet -56.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.001 (#795) | AdjNet -57.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.019 (#795) | AdjO 55.2 | AdjD 98.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.222 (#727) | AdjO 66.8 | AdjD 80.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.081 (#760) | 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. More → | 0.100 (#756) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 848 (#525) | RD 250 | GP 2 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-12-15 | @ | Pacific Lutheran | L | 54 - 97 |
| 2025-12-29 | @ | Willamette | L | 60 - 96 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Oliver Richman | - | 2 | 36.4 | 20.5 | 10.5 | 1.0 | 2.0 | 0.0 | 6.5 | 15.5 | 12.0 | - | - | - | 41.9 | 33.3 | 73.3 | - | 54.5 | 48.4 |
| Lorenzo Bonamin | - | 2 | 32.0 | 8.5 | 9.0 | 1.0 | 1.0 | 0.0 | 4.5 | 8.5 | 6.5 | - | - | - | 41.2 | 0.0 | 75.0 | - | 45.3 | 41.2 |
| Jeevan Sidhu | - | 2 | 25.8 | 7.0 | 4.0 | 0.5 | 0.0 | 1.0 | 4.0 | 6.5 | 2.0 | - | - | - | 46.2 | 25.0 | 50.0 | - | 50.4 | 50.0 |
| Griffin White | - | 2 | 21.0 | 4.5 | 3.5 | 1.0 | 1.5 | 0.5 | 4.0 | 5.5 | 1.5 | - | - | - | 18.2 | 25.0 | 100.0 | - | 35.3 | 22.7 |
| Gurek Sran | - | 2 | 16.9 | 3.5 | 2.0 | 1.0 | 0.5 | 0.5 | 2.5 | 4.0 | 1.0 | - | - | - | 25.0 | 33.3 | 100.0 | - | 39.4 | 31.2 |
| Hunter Thomson | - | 2 | 24.5 | 3.5 | 1.5 | 0.0 | 0.0 | 0.0 | 3.5 | 4.0 | -2.5 | - | - | - | 25.0 | 16.7 | 66.7 | - | 37.6 | 31.2 |
| Kai Bohmert | - | 2 | 6.8 | 3.5 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 1.5 | 4.0 | - | - | - | 66.7 | 0 | 60.0 | - | 67.3 | 66.7 |
| Scottie Austin | - | 1 | 2.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 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