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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Hamburg
Leverkusen
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
22 | 18 | 2 | 2 | +36 | 56 |
| 2 |
RB Leipzig
|
22 | 11 | 5 | 6 | +6 | 38 |
| 3 |
Dortmund
|
22 | 10 | 7 | 5 | +18 | 37 |
| 4 |
Ein Frankfurt
|
22 | 10 | 6 | 6 | +5 | 36 |
| 5 |
Leverkusen
|
22 | 9 | 8 | 5 | +12 | 35 |
| 6 |
Schalke 04
|
22 | 9 | 7 | 6 | +5 | 34 |
| 7 |
Augsburg
|
22 | 8 | 7 | 7 | +4 | 31 |
| 8 |
Hoffenheim
|
22 | 8 | 7 | 7 | +1 | 31 |
| 9 |
Hannover
|
22 | 8 | 7 | 7 | -1 | 31 |
| 10 |
M'gladbach
|
22 | 9 | 4 | 9 | -4 | 31 |
| 11 |
Hertha
|
23 | 7 | 9 | 7 | +0 | 30 |
| 12 |
Freiburg
|
22 | 5 | 10 | 7 | -14 | 25 |
| 13 |
Wolfsburg
|
22 | 4 | 12 | 6 | -3 | 24 |
| 14 |
Stuttgart
|
22 | 7 | 3 | 12 | -9 | 24 |
| 15 |
Werder Bremen
|
22 | 5 | 8 | 9 | -6 | 23 |
| 16 |
Mainz
|
23 | 6 | 5 | 12 | -13 | 23 |
| 17 |
Hamburg
|
22 | 4 | 5 | 13 | -15 | 17 |
| 18 |
FC Koln
|
22 | 3 | 4 | 15 | -22 | 13 |
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.
R. van Drongelen
D
F. Kostić
M
J. Arp
F
Coach: B. Hollerbach
B. Leno
G
P. Retsos
D
D. Kohr
M
K. Havertz
M
J. Brandt
M
L. Bailey
M
Coach: H. Herrlich
Green columns are the outcomes that came in.
Dortmund
Hamburg
Hamburg
Hannover
RB Leipzig
Hamburg
Hamburg
FC Koln
Augsburg
Hamburg
Felix Brych · 71 kamper i vår database
🟥 Red cards: 0,10 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.