Bowie St.
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 โ | 1173 (#67) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1079 (#118) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1096 (#75) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +4.9 (#124) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.4 (#258) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.535 (#135) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.827 (#169) | NetEff +10.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.473 (#193) | AdjNet -0.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.482 (#194) | AdjNet -0.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.496 (#189) | AdjO 63.2 | AdjD 63.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.643 (#128) | AdjO 63.2 | AdjD 56.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.667 (#217) | 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 โ | 0.674 (#204) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1132 (#87) | RD 100 | GP 21 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Malaka Cobb | - | 26 | 27.4 | 11.2 | 2.5 | 2.4 | 2.3 | 0.2 | 2.8 | 8.8 | 6.9 | 122 | 24 | 5.1 | 8.0 | 45.4 | 34.4 | 74.1 | -1.27 | 54.8 | 50.2 |
| Mia Smith | - | 26 | 26.2 | 11.0 | 3.7 | 1.7 | 2.1 | 0.7 | 2.3 | 9.4 | 7.5 | 180 | 24 | 7.5 | 11.8 | 42.4 | 32.9 | 79.1 | 2.32 | 52.3 | 47.8 |
| Afia Owusu-Mensah | - | 23 | 18.8 | 7.7 | 2.7 | 1.0 | 0.9 | 0.1 | 1.5 | 7.4 | 3.5 | 100 | 21 | 4.8 | 10.8 | 33.3 | 26.2 | 77.8 | 1.3 | 45.4 | 39.5 |
| Kristin Sterling | - | 26 | 19.9 | 6.9 | 5.4 | 0.9 | 1.9 | 0.8 | 1.5 | 5.7 | 8.7 | 149 | 24 | 6.2 | 12.8 | 36.5 | 26.7 | 89.3 | 3.25 | 49.4 | 37.8 |
| Mayah Garner | - | 26 | 20.5 | 5.8 | 3.8 | 0.5 | 0.6 | 0.5 | 1.5 | 5.7 | 4.0 | 107 | 24 | 4.5 | 9.1 | 44.3 | 25.0 | 62.1 | -0.88 | 46.7 | 44.6 |
| Chaniya Taylor | - | 26 | 16.9 | 5.1 | 5.3 | 0.5 | 0.8 | 0.6 | 1.6 | 4.5 | 6.2 | 48 | 24 | 2.0 | 4.9 | 39.3 | 0.0 | 56.2 | -0.72 | 44.6 | 39.3 |
| Sydney Anthony | - | 26 | 17.9 | 5.0 | 3.8 | 1.9 | 1.8 | 0.1 | 2.9 | 5.6 | 4.2 | 81 | 24 | 3.4 | 8.0 | 30.1 | 14.3 | 73.6 | -0.73 | 38.1 | 30.8 |
| Hannah Wilkerson | - | 19 | 13.5 | 4.9 | 1.5 | 0.3 | 0.7 | 0.1 | 1.3 | 4.5 | 1.7 | -40 | 17 | -2.4 | -6.9 | 32.6 | 34.1 | 73.3 | -4.47 | 46.9 | 41.3 |
| Taylor Timms | - | 24 | 7.9 | 3.5 | 0.9 | 0.2 | 0.8 | 0.0 | 0.9 | 3.5 | 1.0 | 74 | 22 | 3.4 | 15.2 | 27.4 | 22.7 | 77.3 | 1.63 | 41.1 | 30.4 |
| Gabriella Clary | - | 25 | 14.7 | 3.3 | 2.0 | 0.9 | 0.9 | 0.1 | 1.2 | 3.9 | 2.1 | 101 | 23 | 4.4 | 11.8 | 27.8 | 25.0 | 72.4 | 3.56 | 37.4 | 31.4 |
| Jada Bouknight | - | 26 | 15.0 | 3.1 | 4.1 | 0.3 | 0.7 | 2.3 | 0.8 | 3.0 | 6.6 | 68 | 24 | 2.8 | 7.6 | 41.0 | 0.0 | 70.8 | -0.47 | 45.7 | 41.0 |
| Jayla Tucker | - | 5 | 6.4 | 2.8 | 0.8 | 0.2 | 0.0 | 0.4 | 0.4 | 1.8 | 2.0 | - | - | - | - | 22.2 | 40.0 | 80.0 | -2.36 | 52.2 | 33.3 |
| JaiDen Anderson | - | 16 | 6.6 | 1.3 | 1.9 | 0.1 | 0.4 | 0.1 | 0.4 | 1.4 | 2.1 | 18 | 14 | 1.3 | 6.3 | 31.8 | 20.0 | 75.0 | -3.1 | 41.1 | 34.1 |
| Nyla Coleman | - | 14 | 5.3 | 1.0 | 0.8 | 0.1 | 0.2 | 0.0 | 0.4 | 1.1 | 0.5 | 6 | 11 | 0.5 | 3.9 | 31.2 | 0.0 | 80.0 | -3.87 | 38.5 | 31.2 |
| Theresha Miller | - | 4 | 2.6 | 0.5 | 0.5 | 0.0 | 0.2 | 0.2 | 0.2 | 0.2 | 1.0 | - | - | - | - | 100.0 | 0 | 0 | -1.41 | 100.0 | 100.0 |
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