Bundesliga
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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FC Koln
Ein Frankfurt
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
11 | 10 | 1 | 0 | +33 | +22.5 | 31 |
| 2 |
Leverkusen
|
11 | 7 | 2 | 2 | +12 | +7.1 | 23 |
| 3 |
Dortmund
|
11 | 6 | 4 | 1 | +9 | +7.1 | 22 |
| 4 |
RB Leipzig
|
10 | 7 | 1 | 2 | +7 | +4.2 | 22 |
| 5 |
Stuttgart
|
11 | 7 | 1 | 3 | +5 | +2.4 | 22 |
| 6 |
Hoffenheim
|
11 | 6 | 2 | 3 | +5 | +0.6 | 20 |
| 7 |
Ein Frankfurt
|
10 | 5 | 2 | 3 | +4 | +3.7 | 17 |
| 8 |
Werder Bremen
|
10 | 4 | 3 | 3 | -3 | -5.3 | 15 |
| 9 |
FC Koln
|
10 | 4 | 2 | 4 | +2 | -1.5 | 14 |
| 10 |
Freiburg
|
11 | 3 | 4 | 4 | -5 | -1.5 | 13 |
| 11 |
M'gladbach
|
11 | 3 | 3 | 5 | -3 | -0.5 | 12 |
| 12 |
Union Berlin
|
10 | 3 | 3 | 4 | -4 | -5.4 | 12 |
| 13 |
Augsburg
|
11 | 3 | 1 | 7 | -9 | -8.5 | 10 |
| 14 |
Hamburg
|
11 | 2 | 3 | 6 | -8 | -4.0 | 9 |
| 15 |
Wolfsburg
|
11 | 2 | 2 | 7 | -8 | -3.5 | 8 |
| 16 |
St Pauli
|
10 | 2 | 1 | 7 | -11 | -5.3 | 7 |
| 17 |
Mainz
|
11 | 1 | 3 | 7 | -8 | -2.5 | 6 |
| 18 |
Heidenheim
|
11 | 1 | 2 | 8 | -18 | -9.3 | 5 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
Green columns are the outcomes that came in.
M'gladbach
FC Koln
FC Koln
Hamburg
FC Koln
Bayern Munich
Dortmund
FC Koln
FC Koln
Augsburg
Florian Badstubner · 20 kamper i vår database
🟥 Red cards: 0,20 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.