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 (#367) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 922 (#399) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 981 (#494) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.9 (#453) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.886 (#192) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.361 (#317) | NetEff -4.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.923 (#191) | AdjNet +21.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.935 (#178) | AdjNet +22.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.783 (#188) | AdjO 67.9 | AdjD 53.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.485 (#403) | AdjO 61.9 | AdjD 62.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.409 (#441) | 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 → | 0.419 (#430) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 912 (#359) | RD 350 | GP 1 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Eleecia Carter | - | 1 | 30.9 | 12.0 | 2.0 | 1.0 | 3.0 | 0.0 | 5.0 | 7.0 | 6.0 | - | - | - | 57.1 | 66.7 | 100.0 | - | 76.1 | 71.4 |
| Molly Moffitt | - | 1 | 24.8 | 12.0 | 9.0 | 2.0 | 1.0 | 2.0 | 1.0 | 11.0 | 14.0 | - | - | - | 18.2 | 0.0 | 100.0 | - | 41.3 | 18.2 |
| Cali Smallwood | - | 1 | 36.2 | 12.0 | 5.0 | 0.0 | 0.0 | 1.0 | 1.0 | 11.0 | 6.0 | - | - | - | 27.3 | 25.0 | 100.0 | - | 47.0 | 36.4 |
| Riley Talbert | - | 1 | 31.2 | 9.0 | 4.0 | 2.0 | 2.0 | 0.0 | 2.0 | 7.0 | 8.0 | - | - | - | 42.9 | 50.0 | 100.0 | - | 57.1 | 50.0 |
| Jordan Rosier | - | 1 | 24.2 | 5.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 3.0 | 4.0 | - | - | - | 66.7 | 100.0 | 0 | - | 83.3 | 83.3 |
| Ashlyn Howard | - | 1 | 10.7 | 4.0 | 2.0 | 0.0 | 1.0 | 0.0 | 2.0 | 6.0 | -1.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Monae' Duffy | - | 1 | 7.0 | 3.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 5.0 | - | - | - | 100.0 | 0 | 100.0 | - | 104.2 | 100.0 |
| Mari Miller | - | 1 | 8.8 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 166 | 8.3 | 39.1 | 0.0 | 0 | 100.0 | 0.68 | 53.2 | 0.0 |
| Samari Taylor | - | 1 | 1.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Sofia Munoz | - | 1 | 25.0 | 0.0 | 0.0 | 5.0 | 2.0 | 0.0 | 2.0 | 5.0 | 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