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
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
30 | 23 | 3 | 4 | +60 | 72 |
| 2 |
Dortmund
|
30 | 20 | 3 | 7 | +33 | 63 |
| 3 |
Leverkusen
|
29 | 15 | 7 | 7 | +26 | 52 |
| 4 |
RB Leipzig
|
29 | 15 | 6 | 8 | +33 | 51 |
| 5 |
Freiburg
|
30 | 14 | 9 | 7 | +15 | 51 |
| 6 |
Union Berlin
|
30 | 13 | 8 | 9 | +1 | 47 |
| 7 |
FC Koln
|
30 | 12 | 10 | 8 | +0 | 46 |
| 8 |
Hoffenheim
|
30 | 13 | 6 | 11 | +5 | 45 |
| 9 |
Mainz
|
30 | 11 | 6 | 13 | +7 | 39 |
| 10 |
Ein Frankfurt
|
30 | 10 | 9 | 11 | -2 | 39 |
| 11 |
M'gladbach
|
30 | 10 | 7 | 13 | -13 | 37 |
| 12 |
Bochum
|
30 | 10 | 6 | 14 | -13 | 36 |
| 13 |
Wolfsburg
|
30 | 10 | 4 | 16 | -17 | 34 |
| 14 |
Augsburg
|
30 | 8 | 8 | 14 | -13 | 32 |
| 15 |
Hertha
|
30 | 8 | 5 | 17 | -34 | 29 |
| 16 |
Stuttgart
|
30 | 6 | 10 | 14 | -17 | 28 |
| 17 |
Bielefeld
|
30 | 5 | 11 | 14 | -23 | 26 |
| 18 |
Greuther Furth
|
30 | 3 | 8 | 19 | -48 | 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.
Green columns are the outcomes that came in.
Bochum
Leverkusen
Leverkusen
Hertha
Wolfsburg
Leverkusen
Leverkusen
FC Koln
Bayern Munich
Leverkusen
D Siebert · 158 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.