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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M'gladbach
Bielefeld
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 |
Wolfsburg
|
4 | 4 | 0 | 0 | +5 | 12 |
| 2 |
Bayern Munich
|
4 | 3 | 1 | 0 | +9 | 10 |
| 3 |
Dortmund
|
4 | 3 | 0 | 1 | +4 | 9 |
| 4 |
Mainz
|
4 | 3 | 0 | 1 | +4 | 9 |
| 5 |
Freiburg
|
4 | 2 | 2 | 0 | +2 | 8 |
| 6 |
Leverkusen
|
4 | 2 | 1 | 1 | +6 | 7 |
| 7 |
FC Koln
|
4 | 2 | 1 | 1 | +2 | 7 |
| 8 |
Union Berlin
|
4 | 1 | 3 | 0 | +1 | 6 |
| 9 |
Hoffenheim
|
4 | 1 | 1 | 2 | +1 | 4 |
| 10 |
Stuttgart
|
4 | 1 | 1 | 2 | -1 | 4 |
| 11 |
Bielefeld
|
3 | 0 | 3 | 0 | +0 | 3 |
| 12 |
RB Leipzig
|
4 | 1 | 0 | 3 | -1 | 3 |
| 13 |
Bochum
|
4 | 1 | 0 | 3 | -2 | 3 |
| 14 |
Ein Frankfurt
|
4 | 0 | 3 | 1 | -3 | 3 |
| 15 |
Hertha
|
4 | 1 | 0 | 3 | -6 | 3 |
| 16 |
Augsburg
|
4 | 0 | 2 | 2 | -7 | 2 |
| 17 |
M'gladbach
|
3 | 0 | 1 | 2 | -5 | 1 |
| 18 |
Greuther Furth
|
4 | 0 | 1 | 3 | -9 | 1 |
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.
Y. Sommer
G
M. Ginter
D
N. Elvedi
D
J. Scally
M
L. Netz
M
J. Hofmann
F
F. Neuhaus
M
D. Zakaria
M
A. Pléa
F
Coach: A. Hütter
S. Ortega Moreno
G
A. Schöpf
M
R. Hack
M
P. Wimmer
F
Coach: F. Kramer
Green columns are the outcomes that came in.
Union Berlin
M'gladbach
Leverkusen
M'gladbach
M'gladbach
Bayern Munich
Werder Bremen
M'gladbach
M'gladbach
Stuttgart
S Stegemann · 140 kamper i vår database
🟥 Red cards: 0,20 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.