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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Leverkusen
Augsburg
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
27 | 21 | 3 | 3 | +46 | 66 |
| 2 |
Schalke 04
|
27 | 14 | 7 | 6 | +11 | 49 |
| 3 |
Dortmund
|
27 | 13 | 9 | 5 | +21 | 48 |
| 4 |
Ein Frankfurt
|
27 | 13 | 6 | 8 | +8 | 45 |
| 5 |
Leverkusen
|
27 | 12 | 8 | 7 | +12 | 44 |
| 6 |
RB Leipzig
|
27 | 12 | 7 | 8 | +5 | 43 |
| 7 |
Hoffenheim
|
27 | 10 | 9 | 8 | +5 | 39 |
| 8 |
Stuttgart
|
27 | 11 | 4 | 12 | -5 | 37 |
| 9 |
M'gladbach
|
27 | 10 | 6 | 11 | -6 | 36 |
| 10 |
Augsburg
|
27 | 9 | 8 | 10 | +1 | 35 |
| 11 |
Hertha
|
27 | 8 | 11 | 8 | +0 | 35 |
| 12 |
Werder Bremen
|
27 | 8 | 9 | 10 | -2 | 33 |
| 13 |
Hannover
|
27 | 8 | 8 | 11 | -6 | 32 |
| 14 |
Freiburg
|
27 | 6 | 12 | 9 | -18 | 30 |
| 15 |
Wolfsburg
|
27 | 4 | 13 | 10 | -9 | 25 |
| 16 |
Mainz
|
27 | 6 | 7 | 14 | -17 | 25 |
| 17 |
FC Koln
|
27 | 5 | 5 | 17 | -22 | 20 |
| 18 |
Hamburg
|
27 | 4 | 6 | 17 | -24 | 18 |
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.
B. Leno
G
J. Tah
D
P. Retsos
D
D. Kohr
M
J. Brandt
M
L. Bailey
M
Coach: H. Herrlich
J. Gouweleeuw
D
M. Gregoritsch
M
R. Khedira
M
Coach: M. Baum
Green columns are the outcomes that came in.
FC Koln
Leverkusen
Leverkusen
M'gladbach
Wolfsburg
Leverkusen
Leverkusen
Schalke 04
Hamburg
Leverkusen
Frank Willenborg · 42 kamper i vår database
🟥 Red cards: 0,24 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.