Findlay
Also known as: Findlay
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 → | 1031 (#251) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1086 (#168) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1048 (#179) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +24.6 (#86) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.996 (#143) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.964 (#126) | AdjNet +28.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.965 (#128) | AdjNet +28.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.924 (#58) | AdjO 100.9 | AdjD 73.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.808 (#23) | AdjO 87.8 | AdjD 72.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.853 (#55) | 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 → | 0.835 (#56) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1122 (#141) | RD 269 | GP 2 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mason Brandt | - | 2 | 15.9 | 13.5 | 5.5 | 0.5 | 3.5 | 1.0 | 2.0 | 8.5 | 13.5 | - | - | - | 58.8 | 40.0 | 71.4 | - | 67.2 | 64.7 |
| Jagger Landers | - | 2 | 13.1 | 13.5 | 1.5 | 1.0 | 0.5 | 1.5 | 0.0 | 10.0 | 8.0 | - | - | - | 55.0 | 55.6 | 0 | - | 67.5 | 67.5 |
| Javonte Hill | - | 2 | 15.2 | 11.0 | 3.5 | 1.5 | 1.0 | 1.5 | 0.5 | 8.5 | 9.5 | 35 | 1.9 | 11.6 | 52.9 | 40.0 | 66.7 | 0.34 | 60.0 | 58.8 |
| Mekhi Elmore | - | 2 | 15.1 | 10.5 | 4.5 | 1.5 | 4.5 | 0.0 | 3.5 | 6.5 | 11.0 | - | - | - | 46.2 | 60.0 | 100.0 | - | 67.1 | 57.7 |
| Ian Ioppolo | - | 2 | 16.6 | 10.5 | 6.5 | 1.0 | 0.0 | 0.5 | 1.5 | 8.5 | 8.5 | - | - | - | 47.1 | 25.0 | 80.0 | - | 54.7 | 50.0 |
| Alex Kendall | - | 2 | 18.7 | 9.0 | 3.0 | 2.5 | 1.5 | 0.0 | 1.0 | 5.5 | 9.5 | -136 | -6.8 | -38.4 | 72.7 | 0.0 | 50.0 | 0.49 | 70.5 | 72.7 |
| Steele Meister | - | 2 | 14.4 | 7.5 | 5.0 | 3.5 | 0.5 | 0.5 | 1.5 | 8.0 | 7.5 | - | - | - | 37.5 | 37.5 | 0 | - | 46.9 | 46.9 |
| Luke Denbow | - | 2 | 11.8 | 7.0 | 2.0 | 2.0 | 0.0 | 0.0 | 1.5 | 5.0 | 4.5 | - | - | - | 40.0 | 44.4 | 100.0 | - | 64.3 | 60.0 |
| Anthony Johnson | - | 2 | 15.1 | 6.5 | 3.0 | 5.5 | 2.5 | 0.0 | 0.0 | 6.0 | 11.5 | 201 | 10.1 | 36.7 | 50.0 | 0.0 | 100.0 | 1.97 | 52.3 | 50.0 |
| Jacob Gerken | - | 1 | 13.7 | 6.0 | 9.0 | 0.0 | 1.0 | 0.0 | 0.0 | 7.0 | 9.0 | - | - | - | 28.6 | 20.0 | 33.3 | - | 36.1 | 35.7 |
| Jake Bishop | - | 2 | 15.0 | 5.5 | 2.0 | 1.5 | 2.5 | 0.0 | 0.5 | 6.5 | 4.5 | - | - | - | 30.8 | 12.5 | 100.0 | - | 39.6 | 34.6 |
| Max Roth | - | 2 | 11.7 | 4.0 | 0.5 | 1.5 | 1.5 | 0.5 | 0.5 | 2.0 | 5.5 | - | - | - | 75.0 | 66.7 | 0.0 | - | 90.1 | 100.0 |
| Dominic Francis | - | 2 | 5.6 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
| Josh Thorbahn | - | 2 | 11.2 | 2.5 | 4.0 | 2.5 | 0.5 | 0.0 | 0.5 | 2.0 | 7.0 | - | - | - | 50.0 | 33.3 | 0 | - | 62.5 | 62.5 |
| Jayson Levis | - | 1 | 18.4 | 2.0 | 2.0 | 6.0 | 4.0 | 1.0 | 2.0 | 6.0 | 7.0 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
| Jose Luna | - | 1 | 5.9 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | - | - | - | 100.0 | 0 | 0 | - | 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