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
Hertha
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
26 | 21 | 3 | 2 | +47 | 66 |
| 2 |
Schalke 04
|
26 | 13 | 7 | 6 | +10 | 46 |
| 3 |
Dortmund
|
26 | 12 | 9 | 5 | +20 | 45 |
| 4 |
Leverkusen
|
26 | 12 | 8 | 6 | +14 | 44 |
| 5 |
Ein Frankfurt
|
26 | 12 | 6 | 8 | +5 | 42 |
| 6 |
RB Leipzig
|
26 | 11 | 7 | 8 | +4 | 40 |
| 7 |
Hoffenheim
|
26 | 10 | 8 | 8 | +5 | 38 |
| 8 |
Stuttgart
|
27 | 11 | 4 | 12 | -5 | 37 |
| 9 |
Augsburg
|
26 | 9 | 8 | 9 | +3 | 35 |
| 10 |
M'gladbach
|
26 | 10 | 5 | 11 | -6 | 35 |
| 11 |
Hertha
|
26 | 7 | 11 | 8 | -1 | 32 |
| 12 |
Hannover
|
26 | 8 | 8 | 10 | -5 | 32 |
| 13 |
Werder Bremen
|
26 | 7 | 9 | 10 | -4 | 30 |
| 14 |
Freiburg
|
27 | 6 | 12 | 9 | -18 | 30 |
| 15 |
Wolfsburg
|
26 | 4 | 13 | 9 | -8 | 25 |
| 16 |
Mainz
|
26 | 6 | 7 | 13 | -14 | 25 |
| 17 |
Hamburg
|
26 | 4 | 6 | 16 | -23 | 18 |
| 18 |
FC Koln
|
26 | 4 | 5 | 17 | -24 | 17 |
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: C. Titz
N. Stark
D
M. Mittelstädt
D
M. Weiser
D
Coach: P. Dárdai
Green columns are the outcomes that came in.
Bayern Munich
Hamburg
Hamburg
Mainz
Werder Bremen
Hamburg
Hamburg
Leverkusen
Dortmund
Hamburg
Robert Kampka · 33 kamper i vår database
🟥 Red cards: 0,03 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.