Hannibal-La Grange
Also known as: Hannibal-La Grange
Program History
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 → | 1025 (#290) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1006 (#394) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -18.9 (#594) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.819 (#292) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.021 (#639) | AdjNet -33.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.016 (#642) | AdjNet -35.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.106 (#651) | AdjO 50.5 | AdjD 73.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.454 (#466) | AdjO 60.2 | AdjD 62.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.253 (#564) | 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 → | 0.296 (#536) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1056 (#247) | RD 350 | GP 1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ivy Lesley | - | 1 | 35.0 | 24.0 | 14.0 | 3.0 | 0.0 | 3.0 | 3.0 | 16.0 | 25.0 | - | - | - | 62.5 | 0.0 | 66.7 | - | 64.4 | 62.5 |
| Candice Dowell | - | 1 | 39.0 | 18.0 | 6.0 | 1.0 | 1.0 | 0.0 | 4.0 | 11.0 | 11.0 | - | - | - | 63.6 | 50.0 | 0.0 | - | 78.7 | 81.8 |
| Mykaela Elliott | - | 1 | 22.0 | 13.0 | 10.0 | 0.0 | 0.0 | 0.0 | 2.0 | 7.0 | 14.0 | - | - | - | 71.4 | 0.0 | 50.0 | - | 67.4 | 71.4 |
| Abby White | - | 1 | 34.0 | 10.0 | 12.0 | 1.0 | 0.0 | 0.0 | 1.0 | 11.0 | 11.0 | 26 | 1.4 | 20.5 | 45.5 | 0 | 0 | 0.75 | 45.5 | 45.5 |
| Zady Gundry | - | 1 | 33.0 | 9.0 | 4.0 | 7.0 | 1.0 | 2.0 | 5.0 | 10.0 | 8.0 | - | - | - | 20.0 | 0.0 | 83.3 | - | 35.6 | 20.0 |
| Ainsley Diepenbrock | - | 1 | 29.0 | 4.0 | 4.0 | 6.0 | 0.0 | 1.0 | 4.0 | 5.0 | 6.0 | - | - | - | 20.0 | 0.0 | 50.0 | - | 29.6 | 20.0 |
| Ayden Lippincott | - | 1 | 7.0 | 0.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | - | - | - | 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