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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Hertha
Dortmund
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
|
17 | 14 | 1 | 2 | +40 | 43 |
| 2 |
Dortmund
|
16 | 11 | 1 | 4 | +16 | 34 |
| 3 |
Leverkusen
|
16 | 8 | 4 | 4 | +13 | 28 |
| 4 |
Hoffenheim
|
17 | 8 | 4 | 5 | +9 | 28 |
| 5 |
Ein Frankfurt
|
17 | 7 | 6 | 4 | +3 | 27 |
| 6 |
Union Berlin
|
17 | 7 | 6 | 4 | +2 | 27 |
| 7 |
Freiburg
|
16 | 7 | 5 | 4 | +11 | 26 |
| 8 |
Mainz
|
17 | 7 | 3 | 7 | +8 | 24 |
| 9 |
RB Leipzig
|
17 | 6 | 4 | 7 | +8 | 22 |
| 10 |
FC Koln
|
16 | 5 | 7 | 4 | -1 | 22 |
| 11 |
Bochum
|
17 | 6 | 2 | 9 | -10 | 20 |
| 12 |
Wolfsburg
|
17 | 6 | 2 | 9 | -12 | 20 |
| 13 |
M'gladbach
|
17 | 5 | 4 | 8 | -10 | 19 |
| 14 |
Augsburg
|
17 | 4 | 6 | 7 | -9 | 18 |
| 15 |
Hertha
|
16 | 5 | 3 | 8 | -16 | 18 |
| 16 |
Stuttgart
|
16 | 4 | 5 | 7 | -8 | 17 |
| 17 |
Bielefeld
|
17 | 3 | 7 | 7 | -8 | 16 |
| 18 |
Greuther Furth
|
17 | 1 | 2 | 14 | -36 | 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.
A. Schwolow
G
N. Stark
D
J. Torunarigha
D
M. Mittelstädt
D
J. Ekkelenkamp
M
M. Richter
M
Coach: T. Korkut
T. Meunier
D
M. Pongracic
D
A. Witsel
D
J. Brandt
M
D. Malen
M
E. Haaland
F
Coach: M. Rose
Green columns are the outcomes that came in.
Mainz
Hertha
Hertha
Bielefeld
Stuttgart
Hertha
Hertha
Augsburg
Union Berlin
Hertha
M Fritz · 83 kamper i vår database
🟥 Red cards: 0,08 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.