LDLC ASVEL VILLEURBANNE
Model Outputs
2023-2024
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 → | 870 (#18) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 795 (#20) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.7 (#20) | HCA +3.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.263 (#20) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.297 (#17) | AdjNet -7.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.296 (#17) | AdjNet -7.5 |
2024 Schedule & Results
2024 Roster
Minutes by Position
Not enough player minute data to plot.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MALEDON, THEO | - | 33 | 27.6 | 17.0 | 3.5 | 4.6 | 1.0 | 0.2 | 2.9 | 10.3 | 13.0 | -73 | -2.2 | -3.2 | 44.0 | 34.4 | 90.4 | - | - | - |
| SAKO, NEAL | - | 34 | 21.3 | 8.7 | 6.0 | 0.8 | 0.8 | 0.5 | 0.9 | 5.4 | 10.4 | -85 | -2.5 | -4.7 | 68.1 | 0.0 | 57.0 | - | - | - |
| DE COLO, NANDO | - | 33 | 20.0 | 11.2 | 1.7 | 4.3 | 0.7 | 0.0 | 2.3 | 7.5 | 8.1 | -63 | -1.9 | -3.8 | 44.6 | 38.5 | 94.8 | - | - | - |
| ROBERSON, ANDRE | - | 26 | 24.8 | 8.1 | 6.0 | 1.4 | 1.1 | 1.0 | 1.6 | 6.7 | 9.3 | 37 | 1.4 | 2.3 | 45.7 | 35.7 | 61.0 | - | - | - |
| LIGHTY, DAVID | - | 33 | 19.4 | 4.4 | 1.8 | 1.0 | 0.5 | 0.1 | 0.6 | 3.8 | 3.4 | -25 | -0.8 | -1.6 | 41.9 | 40.6 | 77.8 | - | - | - |
| LEE, PARIS | - | 27 | 21.2 | 8.0 | 1.4 | 3.0 | 0.8 | 0.0 | 1.0 | 8.0 | 4.1 | -36 | -1.3 | -2.5 | 32.4 | 34.1 | 84.2 | - | - | - |
| HARRISON, SHAQUILLE | - | 34 | 16.4 | 5.2 | 1.6 | 1.6 | 1.1 | 0.2 | 1.1 | 4.5 | 4.2 | -100 | -2.9 | -7.2 | 46.7 | 41.7 | 57.1 | - | - | - |
| AJINCA, MELVIN | - | 27 | 14.4 | 5.4 | 1.2 | 0.3 | 0.1 | 0.0 | 0.6 | 4.2 | 2.2 | -101 | -3.7 | -10.4 | 44.7 | 42.7 | 90.9 | - | - | - |
| LAUVERGNE, JOFFREY | - | 21 | 18.3 | 10.2 | 4.5 | 1.0 | 0.4 | 0.2 | 0.9 | 7.5 | 8.0 | -82 | -3.9 | -8.5 | 55.4 | 33.3 | 72.7 | - | - | - |
| JACKSON, EDWIN | - | 24 | 13.8 | 3.3 | 1.3 | 0.6 | 0.2 | 0.0 | 0.5 | 3.6 | 1.3 | -59 | -2.5 | -7.1 | 34.5 | 25.0 | 100.0 | - | - | - |
| BLACK, TARIK | - | 32 | 9.0 | 3.2 | 2.0 | 0.3 | 0.1 | 0.1 | 0.9 | 1.9 | 3.1 | -58 | -1.8 | -8.0 | 68.3 | 0.0 | 57.9 | - | - | - |
| NDIAYE, MBAYE | - | 15 | 18.2 | 6.7 | 2.7 | 0.7 | 0.6 | 0.5 | 1.1 | 4.8 | 5.5 | -34 | -2.3 | -5.0 | 52.8 | 40.6 | 66.7 | - | - | - |
| KAHUDI, CHARLES | - | 15 | 11.4 | 3.1 | 1.1 | 0.1 | 0.1 | 0.1 | 0.7 | 2.4 | 1.5 | -33 | -2.2 | -7.7 | 44.4 | 27.8 | 90.0 | - | - | - |
| BENTIL, BENJAMIN | - | 10 | 11.8 | 4.0 | 2.1 | 0.4 | 0.2 | 0.0 | 0.5 | 3.1 | 3.1 | -41 | -4.1 | -13.9 | 35.5 | 25.0 | 77.8 | - | - | - |
| SCHOFIELD, ADMIRAL | - | 7 | 14.6 | 5.3 | 1.9 | 0.1 | 0.0 | 0.1 | 0.9 | 4.3 | 2.3 | 14 | 2.0 | 5.5 | 43.3 | 45.5 | 33.3 | - | - | - |
| SISSOKO, YOHANN | - | 15 | 2.3 | 0.3 | 0.5 | 0.3 | 0.0 | 0.0 | 0.1 | 0.2 | 0.7 | -1 | -0.1 | -1.2 | 33.3 | 50.0 | 50.0 | - | - | - |
| PAUL, MBIYA | - | 14 | 1.6 | 0.3 | 0.4 | 0.0 | 0.1 | 0.2 | 0.0 | 0.3 | 0.7 | -10 | -0.7 | -17.7 | 50.0 | 0.0 | 0.0 | - | - | - |
| GUEDEGBE, THEO | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 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