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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Augsburg
Ein Frankfurt
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: 1–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
RB Leipzig
|
13 | 10 | 3 | 0 | +18 | 33 |
| 2 |
Bayern Munich
|
13 | 9 | 3 | 1 | +20 | 30 |
| 3 |
Hertha
|
13 | 8 | 3 | 2 | +9 | 27 |
| 4 |
Hoffenheim
|
13 | 6 | 7 | 0 | +11 | 25 |
| 5 |
Dortmund
|
13 | 7 | 3 | 3 | +16 | 24 |
| 6 |
Ein Frankfurt
|
12 | 7 | 3 | 2 | +8 | 24 |
| 7 |
FC Koln
|
13 | 6 | 4 | 3 | +6 | 22 |
| 8 |
Schalke 04
|
13 | 5 | 2 | 6 | +3 | 17 |
| 9 |
Leverkusen
|
13 | 5 | 2 | 6 | -1 | 17 |
| 10 |
Mainz
|
13 | 5 | 2 | 6 | -2 | 17 |
| 11 |
Freiburg
|
13 | 5 | 1 | 7 | -8 | 16 |
| 12 |
Augsburg
|
12 | 3 | 4 | 5 | -4 | 13 |
| 13 |
M'gladbach
|
13 | 3 | 4 | 6 | -9 | 13 |
| 14 |
Werder Bremen
|
13 | 3 | 2 | 8 | -15 | 11 |
| 15 |
Wolfsburg
|
13 | 2 | 4 | 7 | -6 | 10 |
| 16 |
Darmstadt
|
13 | 2 | 2 | 9 | -15 | 8 |
| 17 |
Hamburg
|
13 | 1 | 4 | 8 | -17 | 7 |
| 18 |
FC Ingolstadt 04
|
13 | 1 | 3 | 9 | -14 | 6 |
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.
D. Kohr
M
Coach: D. Schuster
L. Hradecky
G
T. Chandler
M
Jesús Vallejo
D
M. Gaćinović
M
B. Hrgota
F
Coach: N. Kovač
Green columns are the outcomes that came in.
FC Koln
Augsburg
Augsburg
Hertha
FC Ingolstadt 04
Augsburg
Augsburg
Bayern Munich
Freiburg
Augsburg
Sascha Stegemann · 85 kamper i vår database
🟥 Red cards: 0,16 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.