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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Bayern Munich
Augsburg
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: 2–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
25 | 19 | 5 | 1 | +48 | 62 |
| 2 |
RB Leipzig
|
25 | 15 | 4 | 6 | +15 | 49 |
| 3 |
Hoffenheim
|
26 | 12 | 12 | 2 | +23 | 48 |
| 4 |
Dortmund
|
25 | 13 | 7 | 5 | +27 | 46 |
| 5 |
Hertha
|
26 | 12 | 4 | 10 | +2 | 40 |
| 6 |
FC Koln
|
25 | 9 | 10 | 6 | +8 | 37 |
| 7 |
Ein Frankfurt
|
25 | 10 | 6 | 9 | -1 | 36 |
| 8 |
Freiburg
|
25 | 10 | 5 | 10 | -10 | 35 |
| 9 |
Schalke 04
|
25 | 9 | 6 | 10 | +5 | 33 |
| 10 |
M'gladbach
|
25 | 9 | 5 | 11 | -4 | 32 |
| 11 |
Leverkusen
|
25 | 9 | 4 | 12 | -3 | 31 |
| 12 |
Mainz
|
25 | 8 | 5 | 12 | -8 | 29 |
| 13 |
Werder Bremen
|
25 | 8 | 5 | 12 | -10 | 29 |
| 14 |
Augsburg
|
25 | 7 | 8 | 10 | -10 | 29 |
| 15 |
Wolfsburg
|
25 | 8 | 5 | 12 | -11 | 29 |
| 16 |
Hamburg
|
25 | 7 | 6 | 12 | -22 | 27 |
| 17 |
FC Ingolstadt 04
|
25 | 5 | 4 | 16 | -19 | 19 |
| 18 |
Darmstadt
|
25 | 4 | 3 | 18 | -30 | 15 |
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.
S. Ulreich
G
Juan Bernat
D
J. Kimmich
D
Coach: C. Ancelotti
D. Kohr
M
K. Danso
D
Coach: M. Baum
Green columns are the outcomes that came in.
M'gladbach
Bayern Munich
Bayern Munich
Ein Frankfurt
FC Koln
Bayern Munich
Bayern Munich
Hamburg
Hertha
Bayern Munich
Christian Dingert · 74 kamper i vår database
🟥 Red cards: 0,15 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.