Trinity Baptist
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 → | 894 (#411) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1017 (#307) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 730 (#568) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 921 (#590) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -33.4 (#401) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -32.0 (#672) | HCA +2.9 |
| 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 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.223 (#650) | AdjO 56.2 | AdjD 69.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.064 (#682) | 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 → | 0.081 (#678) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 744 (#517) | RD 274 | GP 5 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | vs | Wesleyan (GA) | L | 0 - 0 |
| 2025-11-18 | vs | Minn.-Morris | L | 49 - 100 |
| 2025-12-03 | @ | Martin Luther | L | 52 - 84 |
| 2025-12-13 | @ | North Central (MN) | L | 64 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Madeline Berkey | - | 3 | 29.1 | 12.3 | 8.7 | 1.0 | 0.7 | 0.7 | 1.3 | 11.0 | 11.0 | - | - | - | 39.4 | 20.0 | 69.2 | - | 47.8 | 42.4 |
| Mikendra Ledgerwood | - | 3 | 28.4 | 9.3 | 7.3 | 2.3 | 1.0 | 0.0 | 9.0 | 11.0 | 0.0 | - | - | - | 27.3 | 23.1 | 50.0 | - | 35.8 | 31.8 |
| Marlyssa Ledgerwood | - | 3 | 16.1 | 8.0 | 5.0 | 0.3 | 0.3 | 1.0 | 3.7 | 6.7 | 4.3 | - | - | - | 50.0 | 0.0 | 66.7 | - | 53.0 | 50.0 |
| Jaelle Fischer | - | 3 | 28.1 | 8.0 | 4.3 | 1.3 | 2.0 | 0.0 | 4.7 | 6.3 | 4.7 | - | - | - | 57.9 | 0.0 | 66.7 | - | 59.1 | 57.9 |
| Julie Hull | - | 3 | 22.9 | 6.7 | 5.3 | 0.7 | 0.3 | 0.3 | 5.3 | 9.7 | -1.7 | - | - | - | 24.1 | 20.8 | 50.0 | - | 33.5 | 32.8 |
| Kayla De Campos | - | 3 | 22.8 | 5.0 | 3.7 | 1.3 | 2.7 | 0.0 | 4.3 | 7.3 | 1.0 | - | - | - | 18.2 | 25.0 | 50.0 | - | 30.4 | 27.3 |
| Mikayla Ledgerwood | - | 3 | 20.5 | 2.3 | 2.7 | 1.7 | 1.3 | 0.0 | 4.3 | 3.0 | 0.7 | - | - | - | 22.2 | 0 | 50.0 | - | 30.1 | 22.2 |
| Addy Warneke | - | 3 | 9.0 | 2.0 | 1.0 | 0.3 | 0.0 | 0.0 | 1.0 | 1.0 | 1.3 | - | - | - | 66.7 | 0 | 100.0 | - | 77.3 | 66.7 |
| Ellie Ortega | - | 2 | 18.5 | 2.0 | 2.0 | 0.5 | 1.5 | 0.0 | 0.0 | 2.5 | 3.5 | - | - | - | 40.0 | 0 | 0 | - | 40.0 | 40.0 |
| Jazmin Parrill | - | 2 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Emily Potts | - | 2 | 3.4 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -67 | -3.9 | -29.8 | 0.0 | 0 | 0 | -1.7 | 0.0 | 0.0 |
| Hannah Fischer | - | 2 | 9.6 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.5 | 0.5 | -1.0 | - | - | - | 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