Trinity Baptist
Model Outputs
2024-2025
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 → | 894 (#411) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 796 (#451) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -38.9 (#413) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.869 (#260) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.003 (#733) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.009 (#666) | AdjNet -39.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.001 (#724) | AdjNet -61.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.008 (#666) | AdjNet -42.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.001 (#723) | AdjNet -61.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.093 (#665) | AdjO 25.4 | AdjD 50.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.026 (#729) | AdjO 43.9 | AdjD 83.7 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-25 | @ | Minn.-Morris | L | 39 - 88 |
| 2025-01-20 | vs | Minn.-Morris | L | 29 - 74 |
| 2025-03-03 | @ | North Central (MN) | L | 56 - 68 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Madeline Berkey | - | 3 | 35.0 | 11.7 | 8.3 | 0.7 | 0.7 | 0.3 | 3.0 | 11.3 | 7.3 | - | - | - | 32.4 | 21.4 | 83.3 | -0.37 | 44.6 | 36.8 |
| Marlyssa Ledgerwood | - | 3 | 35.3 | 11.3 | 7.3 | 3.0 | 0.3 | 1.7 | 4.0 | 13.3 | 6.3 | - | - | - | 35.0 | 0.0 | 66.7 | -0.24 | 38.7 | 35.0 |
| Angie Soto | - | 3 | 35.3 | 8.3 | 5.7 | 2.7 | 1.3 | 1.0 | 4.3 | 11.3 | 3.3 | - | - | - | 26.5 | 20.0 | 75.0 | -0.1 | 35.0 | 32.4 |
| Jaelle Fischer | - | 3 | 32.7 | 5.7 | 1.3 | 0.7 | 0.7 | 0.3 | 5.3 | 4.0 | -0.7 | - | - | - | 50.0 | 25.0 | 66.7 | - | 58.1 | 54.2 |
| Victoria Wilson | - | 1 | 20.0 | 5.0 | 0.0 | 0.0 | 1.0 | 0.0 | 7.0 | 5.0 | -6.0 | - | - | - | 40.0 | 25.0 | 0 | - | 50.0 | 50.0 |
| Morgan Carlson | - | 3 | 28.7 | 2.0 | 4.3 | 0.0 | 0.0 | 0.3 | 6.3 | 4.0 | -3.7 | -39 | -6.5 | -7.6 | 16.7 | 0.0 | 100.0 | -0.38 | 23.3 | 16.7 |
| Emily Potts | - | 3 | 10.0 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.7 | 0.7 | 0.0 | -40 | -1.3 | -3.1 | 0.0 | 0 | 100.0 | -0.25 | 34.7 | 0.0 |
| Emma Reeder | - | 2 | 24.5 | 0.0 | 1.5 | 1.0 | 0.5 | 0.0 | 2.0 | 1.5 | -0.5 | - | - | - | 0.0 | 0 | 0 | -0.35 | 0.0 | 0.0 |
| Julie Hull | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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