FC BAYERN MUNICH
Model Outputs
2024-2025
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 → | 879 (#17) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 980 (#13) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.3 (#16) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.466 (#11) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.466 (#11) | NetEff -1.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.471 (#11) | AdjNet -1.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.470 (#11) | AdjNet -1.0 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OBST, ANDREAS | - | 25 | 26.1 | 14.8 | 2.0 | 1.6 | 0.4 | 0.1 | 1.5 | 11.1 | 6.2 | -26 | -1.0 | -1.6 | 42.4 | 39.4 | 93.4 | - | - | - |
| MIKE, ISIAHA | - | 26 | 23.2 | 10.4 | 4.2 | 1.7 | 0.8 | 0.2 | 1.3 | 8.2 | 7.7 | -45 | -1.7 | -3.0 | 47.9 | 43.0 | 74.3 | - | - | - |
| LUCIC, VLADIMIR | - | 24 | 23.4 | 9.0 | 4.0 | 1.5 | 0.5 | 0.1 | 1.0 | 6.2 | 7.9 | -80 | -3.3 | -5.7 | 47.7 | 31.3 | 86.9 | - | - | - |
| JESSUP, JUSTINIAN | - | 26 | 18.4 | 7.6 | 2.6 | 1.4 | 0.7 | 0.3 | 0.7 | 5.7 | 6.2 | 44 | 1.7 | 3.7 | 49.0 | 34.9 | 100.0 | - | - | - |
| GABRIEL, WENYEN | - | 25 | 16.9 | 5.8 | 3.3 | 0.8 | 0.8 | 0.7 | 1.4 | 4.3 | 5.5 | -61 | -2.4 | -5.8 | 59.3 | 25.0 | 38.9 | - | - | - |
| DA SILVA, OSCAR | - | 26 | 14.7 | 6.1 | 3.7 | 0.8 | 0.6 | 0.3 | 0.8 | 4.2 | 6.5 | 13 | 0.5 | 1.4 | 58.7 | 25.0 | 93.1 | - | - | - |
| JOVIC, STEFAN | - | 19 | 18.5 | 5.3 | 1.8 | 4.3 | 1.1 | 0.0 | 1.7 | 4.2 | 6.6 | -35 | -1.8 | -4.0 | 50.0 | 37.9 | 75.0 | - | - | - |
| RATHAN-MAYES, XAVIER | - | 25 | 12.6 | 5.6 | 1.6 | 1.6 | 0.5 | 0.1 | 0.9 | 6.0 | 2.5 | -100 | -4.0 | -12.7 | 32.9 | 24.4 | 68.8 | - | - | - |
| GIFFEY, NIELS | - | 23 | 12.9 | 4.1 | 1.3 | 0.7 | 0.5 | 0.0 | 0.6 | 3.5 | 2.6 | -45 | -2.0 | -6.1 | 39.5 | 32.6 | 85.0 | - | - | - |
| DINWIDDIE, SPENCER | - | 11 | 23.1 | 11.7 | 2.0 | 2.9 | 0.3 | 0.2 | 2.5 | 8.6 | 5.9 | 5 | 0.5 | 0.8 | 38.9 | 30.2 | 81.2 | - | - | - |
| HOLLATZ, JUSTUS | - | 19 | 13.0 | 2.1 | 1.5 | 1.7 | 0.8 | 0.0 | 0.7 | 1.9 | 3.5 | -49 | -2.6 | -7.9 | 33.3 | 38.9 | 90.0 | - | - | - |
| MCCORMACK, DAVID | - | 20 | 12.4 | 5.0 | 2.3 | 0.4 | 0.5 | 0.2 | 1.3 | 3.6 | 3.4 | -15 | -0.8 | -2.4 | 60.3 | 0.0 | 61.1 | - | - | - |
| VOIGTMANN, JOHANNES | - | 18 | 13.5 | 3.9 | 3.6 | 1.9 | 0.4 | 0.2 | 1.0 | 3.4 | 5.6 | 30 | 1.7 | 4.9 | 42.6 | 35.3 | 75.0 | - | - | - |
| BALDWIN, KAMAR | - | 9 | 16.3 | 6.7 | 1.9 | 2.4 | 0.9 | 0.0 | 1.1 | 6.4 | 4.3 | -2 | -0.2 | -0.5 | 37.9 | 27.3 | 90.9 | - | - | - |
| DIMITRIJEVIC, NENO | - | 7 | 20.1 | 9.6 | 1.9 | 3.9 | 0.9 | 0.0 | 1.9 | 6.9 | 7.4 | 22 | 3.1 | 6.2 | 50.0 | 33.3 | 71.4 | - | - | - |
| KRATZER, LEON | - | 17 | 3.4 | 0.2 | 0.6 | 0.2 | 0.1 | 0.0 | 0.3 | 0.2 | 0.6 | -26 | -1.5 | -17.9 | 66.7 | 0.0 | 0.0 | - | - | - |
| RADANOV, ALEKSA | - | 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