FC BAYERN MUNICH
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2018 yet, so this section is showing the latest available team-model rows.
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 → | 1032 (#9) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 958 (#14) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.9 (#15) | HCA +3.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.384 (#15) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.384 (#15) | NetEff -3.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.406 (#15) | AdjNet -2.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.405 (#15) | AdjNet -2.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.445 (#15) | AdjO 79.6 | AdjD 82.0 |
2018 Schedule & Results
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LUCIC, VLADIMIR | - | 29 | 26.2 | 10.0 | 3.8 | 1.2 | 1.1 | 0.2 | 0.7 | 6.9 | 8.8 | -30 | -1.0 | -1.6 | 52.3 | 35.1 | 82.6 | - | - | - |
| WILLIAMS, DERRICK | - | 29 | 26.0 | 13.4 | 4.2 | 0.6 | 0.6 | 0.5 | 1.5 | 9.5 | 8.3 | 19 | 0.7 | 1.0 | 46.0 | 33.3 | 78.4 | - | - | - |
| BARTHEL, DANILO | - | 30 | 23.7 | 8.1 | 4.0 | 1.9 | 0.3 | 0.2 | 1.3 | 6.0 | 7.3 | -32 | -1.1 | -1.8 | 50.8 | 40.4 | 70.5 | - | - | - |
| DEDOVIC, NIHAD | - | 30 | 23.1 | 9.9 | 2.5 | 2.7 | 1.0 | 0.0 | 1.1 | 7.7 | 7.2 | -46 | -1.5 | -2.7 | 46.3 | 33.0 | 83.6 | - | - | - |
| KOPONEN, PETTERI | - | 30 | 18.2 | 9.0 | 1.6 | 1.9 | 0.3 | 0.0 | 0.9 | 6.3 | 5.6 | -2 | -0.1 | -0.1 | 51.6 | 46.8 | 92.3 | - | - | - |
| LO, MAODO | - | 29 | 18.3 | 6.7 | 1.5 | 1.9 | 1.0 | 0.1 | 1.3 | 5.3 | 4.4 | -23 | -0.8 | -1.7 | 44.5 | 34.4 | 78.6 | - | - | - |
| JOVIC, STEFAN | - | 23 | 21.4 | 8.3 | 2.4 | 4.6 | 1.3 | 0.0 | 1.8 | 6.5 | 8.3 | -5 | -0.2 | -0.4 | 51.0 | 40.0 | 74.1 | - | - | - |
| RADOSEVIC, LEON | - | 29 | 15.4 | 4.6 | 2.0 | 0.9 | 0.3 | 0.4 | 1.0 | 3.7 | 3.7 | -43 | -1.5 | -3.9 | 55.7 | 0.0 | 66.7 | - | - | - |
| DANGUBIC, NEMANJA | - | 30 | 14.8 | 4.2 | 2.4 | 0.5 | 0.3 | 0.1 | 0.4 | 3.2 | 3.8 | -37 | -1.2 | -3.3 | 41.2 | 39.5 | 75.7 | - | - | - |
| BOOKER, DEVIN | - | 16 | 20.6 | 8.9 | 3.4 | 1.5 | 0.6 | 0.3 | 1.2 | 7.1 | 6.4 | 11 | 0.7 | 1.3 | 55.3 | 37.5 | 61.1 | - | - | - |
| HOBBS, BRAYDON | - | 28 | 6.4 | 2.4 | 0.6 | 1.7 | 0.3 | 0.0 | 0.6 | 1.7 | 2.7 | -3 | -0.1 | -0.7 | 42.6 | 48.8 | 87.5 | - | - | - |
| AMAIZE, ROBIN | - | 20 | 3.1 | 0.6 | 0.1 | 0.2 | 0.1 | 0.0 | 0.1 | 0.6 | 0.3 | -16 | -0.8 | -10.2 | 36.4 | 42.9 | 50.0 | - | - | - |
| OGUNSIPE, MARVIN | - | 11 | 5.7 | 0.8 | 0.6 | 0.1 | 0.2 | 0.0 | 0.4 | 1.0 | 0.4 | -32 | -2.9 | -20.5 | 36.4 | 0.0 | 50.0 | - | - | - |
| KING, ALEX | - | 25 | 1.6 | 0.3 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 | 0.4 | 0.3 | -21 | -0.8 | -21.1 | 30.0 | 22.2 | 0.0 | - | - | - |
| WEIDEMANN, NELSON | - | 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