Hannibal-La Grange
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 863 (#484) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 966 (#446) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -21.0 (#533) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.004 (#687) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.028 (#704) | AdjNet -30.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.025 (#704) | AdjNet -30.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.155 (#667) | AdjO 59.9 | AdjD 78.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.329 (#519) | AdjO 67.1 | AdjD 75.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.146 (#563) | 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 → | 0.165 (#562) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 844 (#428) | RD 350 | GP 3 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chris Cross | - | 3 | 28.4 | 10.7 | 4.7 | 1.7 | 0.7 | 1.0 | 2.7 | 11.7 | 4.3 | - | - | - | 22.9 | 15.4 | 70.0 | - | 36.5 | 25.7 |
| Josh Talton | - | 3 | 26.1 | 8.7 | 2.7 | 0.3 | 0.0 | 0.3 | 2.7 | 8.7 | 0.7 | - | - | - | 30.8 | 0.0 | 66.7 | - | 39.9 | 30.8 |
| Ignacio Diaz | - | 3 | 14.6 | 3.3 | 2.3 | 0.0 | 0.0 | 0.0 | 1.7 | 3.7 | 0.3 | - | - | - | 27.3 | 50.0 | 66.7 | - | 40.6 | 36.4 |
| Braylon Diggs | - | 3 | 27.6 | 3.3 | 4.7 | 0.7 | 0.7 | 0.3 | 1.7 | 2.3 | 5.7 | - | - | - | 57.1 | 0 | 100.0 | - | 63.5 | 57.1 |
| Josiah Talton | - | 3 | 24.0 | 3.3 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 4.7 | 1.7 | - | - | - | 21.4 | 20.0 | 66.7 | - | 32.6 | 28.6 |
| Malakai Munoz | - | 3 | 14.6 | 2.3 | 1.0 | 0.7 | 0.0 | 0.0 | 1.0 | 2.3 | 0.7 | - | - | - | 28.6 | 20.0 | 100.0 | - | 44.4 | 35.7 |
| Toby Ford | - | 3 | 10.7 | 2.0 | 1.3 | 0.7 | 0.0 | 0.0 | 1.7 | 3.3 | -1.0 | - | - | - | 20.0 | 25.0 | 0 | - | 30.0 | 30.0 |
| Christian Gonzalez | - | 2 | 6.2 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 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