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
RB Leipzig
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 |
Dortmund
|
10 | 7 | 3 | 0 | +20 | 24 |
| 2 |
Bayern Munich
|
10 | 6 | 2 | 2 | +7 | 20 |
| 3 |
Ein Frankfurt
|
10 | 5 | 2 | 3 | +10 | 17 |
| 4 |
M'gladbach
|
9 | 5 | 2 | 2 | +8 | 17 |
| 5 |
Werder Bremen
|
9 | 5 | 2 | 2 | +3 | 17 |
| 6 |
Hoffenheim
|
10 | 5 | 1 | 4 | +8 | 16 |
| 7 |
RB Leipzig
|
9 | 4 | 4 | 1 | +7 | 16 |
| 8 |
Hertha
|
9 | 4 | 4 | 1 | +5 | 16 |
| 9 |
Augsburg
|
10 | 3 | 4 | 3 | +2 | 13 |
| 10 |
Freiburg
|
10 | 3 | 4 | 3 | -2 | 13 |
| 11 |
Wolfsburg
|
10 | 3 | 3 | 4 | -1 | 12 |
| 12 |
Leverkusen
|
10 | 3 | 2 | 5 | -5 | 11 |
| 13 |
Schalke 04
|
10 | 3 | 1 | 6 | -4 | 10 |
| 14 |
Nurnberg
|
10 | 2 | 4 | 4 | -11 | 10 |
| 15 |
Mainz
|
9 | 2 | 3 | 4 | -5 | 9 |
| 16 |
Hannover
|
10 | 1 | 3 | 6 | -9 | 6 |
| 17 |
Fortuna Dusseldorf
|
9 | 1 | 2 | 6 | -15 | 5 |
| 18 |
Stuttgart
|
10 | 1 | 2 | 7 | -18 | 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.
N. Stark
D
M. Mittelstädt
D
Coach: P. Dárdai
P. Gulácsi
G
W. Orban
D
N. Mukiele
D
I. Konaté
D
M. Sabitzer
M
Bruma
M
Matheus Cunha
F
Coach: R. Rangnick
Green columns are the outcomes that came in.
Dortmund
Hertha
Hertha
Freiburg
Mainz
Hertha
Hertha
Bayern Munich
Werder Bremen
Hertha
Deniz Aytekin · 80 kamper i vår database
🟥 Red cards: 0,21 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.