Toledo
Also known as: Toledo
Program History
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 → | 1042 (#145) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1088 (#112) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1019 (#250) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.3 (#110) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.981 (#130) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.995 (#52) | AdjNet +46.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.996 (#55) | AdjNet +45.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.950 (#38) | AdjO 85.0 | AdjD 52.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.623 (#146) | AdjO 67.5 | AdjD 61.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.772 (#124) | 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 → | 0.750 (#135) | Blend of Elo, BT, Margin, PythLog, PtsOD |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-12-17 | vs | Wayne St. (MI) | W | 75 - 63 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kendall Carruthers | - | 1 | 33.3 | 20.0 | 4.0 | 3.0 | 0.0 | 0.0 | 5.0 | 11.0 | 11.0 | - | - | - | 54.5 | 66.7 | 85.7 | - | 71.0 | 63.6 |
| Faith Fedd-Robinson | - | 1 | 32.0 | 16.0 | 8.0 | 3.0 | 1.0 | 1.0 | 3.0 | 7.0 | 19.0 | - | - | - | 71.4 | 0 | 85.7 | - | 79.4 | 71.4 |
| Ella Weaver | - | 1 | 33.2 | 9.0 | 3.0 | 3.0 | 1.0 | 0.0 | 0.0 | 8.0 | 8.0 | - | - | - | 37.5 | 50.0 | 0 | - | 56.2 | 56.2 |
| Evalyse Cole | - | 1 | 27.5 | 7.0 | 6.0 | 3.0 | 1.0 | 0.0 | 0.0 | 7.0 | 10.0 | -1 | -0.1 | -1.1 | 42.9 | 0.0 | 50.0 | 5.0 | 44.4 | 42.9 |
| Miriam Diala | - | 1 | 12.9 | 7.0 | 4.0 | 1.0 | 0.0 | 0.0 | 3.0 | 4.0 | 5.0 | - | - | - | 75.0 | 0 | 100.0 | - | 78.8 | 75.0 |
| Evyn Carrier | - | 1 | 12.3 | 7.0 | 4.0 | 3.0 | 1.0 | 2.0 | 1.0 | 4.0 | 12.0 | - | - | - | 75.0 | 0 | 50.0 | - | 71.7 | 75.0 |
| Patricia Anumgba | - | 1 | 23.7 | 4.0 | 5.0 | 1.0 | 1.0 | 0.0 | 4.0 | 7.0 | 0.0 | - | - | - | 28.6 | 0.0 | 0 | - | 28.6 | 28.6 |
| Alexa Hocevar | - | 1 | 5.2 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 2.0 | 0.0 | - | - | - | 50.0 | 100.0 | 0 | - | 75.0 | 75.0 |
| Lizzy Puot | - | 1 | 3.8 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Cadence Dykstra | - | 1 | 13.8 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Elisha Dykstra | - | 1 | 2.3 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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