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
FC Koln
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: 0–3
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
30 | 22 | 5 | 3 | +47 | 71 |
| 2 |
RB Leipzig
|
30 | 18 | 7 | 5 | +28 | 61 |
| 3 |
Wolfsburg
|
30 | 16 | 9 | 5 | +24 | 57 |
| 4 |
Ein Frankfurt
|
30 | 15 | 11 | 4 | +17 | 56 |
| 5 |
Dortmund
|
30 | 16 | 4 | 10 | +22 | 52 |
| 6 |
Leverkusen
|
30 | 13 | 8 | 9 | +14 | 47 |
| 7 |
M'gladbach
|
30 | 11 | 10 | 9 | +8 | 43 |
| 8 |
Union Berlin
|
30 | 10 | 13 | 7 | +7 | 43 |
| 9 |
Freiburg
|
29 | 11 | 7 | 11 | +2 | 40 |
| 10 |
Stuttgart
|
30 | 10 | 9 | 11 | +3 | 39 |
| 11 |
Hoffenheim
|
30 | 9 | 8 | 13 | -5 | 35 |
| 12 |
Augsburg
|
30 | 9 | 6 | 15 | -15 | 33 |
| 13 |
Mainz
|
29 | 8 | 7 | 14 | -17 | 31 |
| 14 |
Werder Bremen
|
30 | 7 | 9 | 14 | -15 | 30 |
| 15 |
Bielefeld
|
30 | 8 | 6 | 16 | -23 | 30 |
| 16 |
Hertha
|
28 | 6 | 8 | 14 | -14 | 26 |
| 17 |
FC Koln
|
30 | 6 | 8 | 16 | -25 | 26 |
| 18 |
Schalke 04
|
30 | 2 | 7 | 21 | -58 | 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.
J. Gouweleeuw
D
R. Vargas
M
Coach: H. Herrlich
T. Horn
G
J. Horn
D
S. Bornauw
D
M. Wolf
M
E. Skhiri
M
Coach: F. Funkel
Green columns are the outcomes that came in.
Ein Frankfurt
Augsburg
Augsburg
Bielefeld
Schalke 04
Augsburg
Augsburg
Hoffenheim
Freiburg
Augsburg
M Petersen · 103 kamper i vår database
🟥 Red cards: 0,22 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.