Northwest Indian
Model Outputs
2025-2026
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 → | 915 (#445) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 951 (#560) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -19.7 (#600) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.000 (#747) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.001 (#726) | AdjNet -61.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.001 (#726) | AdjNet -61.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.021 (#737) | AdjO 47.4 | AdjD 89.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.340 (#583) | AdjO 57.4 | AdjD 64.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.245 (#567) | 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 → | 0.253 (#567) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 844 (#460) | RD 236 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-13 | @ | Lewis & Clark | L | 56 - 78 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sophie Bronson | - | 1 | 20.8 | 15.0 | 0.0 | 0.0 | 3.0 | 0.0 | 8.0 | 14.0 | -4.0 | - | - | - | 35.7 | 33.3 | 100.0 | - | 50.4 | 46.4 |
| Kaylee Wilson | - | 1 | 30.3 | 13.0 | 1.0 | 2.0 | 0.0 | 0.0 | 3.0 | 22.0 | -9.0 | -185 | -6.4 | -43.0 | 27.3 | 0.0 | 100.0 | -0.48 | 29.0 | 27.3 |
| Aliesha Solomon | - | 1 | 22.9 | 6.0 | 8.0 | 0.0 | 1.0 | 0.0 | 0.0 | 5.0 | 10.0 | - | - | - | 60.0 | 0.0 | 0 | - | 60.0 | 60.0 |
| Zoey Juan | - | 1 | 27.9 | 6.0 | 6.0 | 2.0 | 5.0 | 1.0 | 7.0 | 1.0 | 12.0 | - | - | - | 100.0 | 0 | 100.0 | - | 108.7 | 100.0 |
| Tala Mitchell | - | 1 | 29.7 | 5.0 | 1.0 | 2.0 | 1.0 | 0.0 | 1.0 | 6.0 | 2.0 | - | - | - | 33.3 | 25.0 | 0 | - | 41.7 | 41.7 |
| Lila Bible | - | 1 | 22.2 | 4.0 | 5.0 | 0.0 | 2.0 | 0.0 | 1.0 | 3.0 | 7.0 | - | - | - | 33.3 | 0 | 100.0 | - | 51.5 | 33.3 |
| Wicahpi Cuny | - | 1 | 16.5 | 3.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 2.0 | - | - | - | 33.3 | 0 | 50.0 | - | 38.7 | 33.3 |
| Jade Liulamaga | - | 1 | 12.0 | 2.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 4.0 | 1.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Lea Armour | - | 1 | 9.4 | 2.0 | 0.0 | 1.0 | 2.0 | 0.0 | 1.0 | 2.0 | 2.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Jordan La Torre | - | 1 | 8.3 | 0.0 | 4.0 | 0.0 | 2.0 | 0.0 | 1.0 | 2.0 | 3.0 | - | - | - | 0.0 | 0.0 | 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