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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Union Berlin
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Leverkusen
|
3 | 3 | 0 | 0 | +8 | +3.8 | 9 |
| 2 |
Bayern Munich
|
3 | 3 | 0 | 0 | +7 | +6.6 | 9 |
| 3 |
Stuttgart
|
3 | 2 | 0 | 1 | +6 | +2.4 | 6 |
| 4 |
Union Berlin
|
2 | 2 | 0 | 0 | +6 | -0.9 | 6 |
| 5 |
Hoffenheim
|
3 | 2 | 0 | 1 | +2 | -0.2 | 6 |
| 6 |
Wolfsburg
|
3 | 2 | 0 | 1 | +1 | +2.2 | 6 |
| 7 |
Freiburg
|
3 | 2 | 0 | 1 | -3 | +1.8 | 6 |
| 8 |
Dortmund
|
3 | 1 | 2 | 0 | +1 | +2.4 | 5 |
| 9 |
Ein Frankfurt
|
3 | 1 | 2 | 0 | +1 | +1.3 | 5 |
| 10 |
RB Leipzig
|
2 | 1 | 0 | 1 | +3 | +0.8 | 3 |
| 11 |
Werder Bremen
|
3 | 1 | 0 | 2 | -1 | -1.5 | 3 |
| 12 |
Augsburg
|
3 | 0 | 2 | 1 | -2 | -0.8 | 2 |
| 13 |
Bochum
|
3 | 0 | 2 | 1 | -5 | -3.4 | 2 |
| 14 |
FC Koln
|
3 | 0 | 1 | 2 | -2 | -2.9 | 1 |
| 15 |
Heidenheim
|
3 | 0 | 1 | 2 | -3 | -2.6 | 1 |
| 16 |
M'gladbach
|
3 | 0 | 1 | 2 | -4 | -4.1 | 1 |
| 17 |
Mainz
|
3 | 0 | 1 | 2 | -7 | -1.7 | 1 |
| 18 |
Darmstadt
|
3 | 0 | 0 | 3 | -8 | -2.9 | 0 |
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.
F. Rønnow
G
D. Doekhi
D
Diogo Leite
D
J. Juranović
M
A. Král
M
R. Gosens
M
D. Fofana
F
K. Behrens
F
Coach: U. Fischer
J. Blaswich
G
B. Henrichs
D
W. Orbán
D
D. Raum
D
X. Schlager
M
Dani Olmo
M
L. Openda
F
Y. Poulsen
F
Coach: M. Rose
Green columns are the outcomes that came in.
Darmstadt
Union Berlin
Union Berlin
Mainz
FC Astoria Walldorf
Union Berlin
Union Berlin
Werder Bremen
Hoffenheim
Union Berlin
D Schlager · 124 kamper i vår database
🟥 Red cards: 0,21 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.