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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Freiburg
Mainz
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
21 | 17 | 1 | 3 | +47 | 52 |
| 2 |
Dortmund
|
21 | 14 | 1 | 6 | +18 | 43 |
| 3 |
Leverkusen
|
21 | 11 | 5 | 5 | +20 | 38 |
| 4 |
RB Leipzig
|
22 | 10 | 4 | 8 | +16 | 34 |
| 5 |
Union Berlin
|
21 | 9 | 7 | 5 | +2 | 34 |
| 6 |
Freiburg
|
21 | 9 | 6 | 6 | +9 | 33 |
| 7 |
FC Koln
|
22 | 8 | 8 | 6 | -3 | 32 |
| 8 |
Hoffenheim
|
21 | 9 | 4 | 8 | +7 | 31 |
| 9 |
Ein Frankfurt
|
21 | 8 | 7 | 6 | +1 | 31 |
| 10 |
Mainz
|
21 | 9 | 3 | 9 | +7 | 30 |
| 11 |
Bochum
|
21 | 7 | 4 | 10 | -10 | 25 |
| 12 |
Wolfsburg
|
21 | 7 | 3 | 11 | -12 | 24 |
| 13 |
M'gladbach
|
21 | 6 | 5 | 10 | -11 | 23 |
| 14 |
Hertha
|
21 | 6 | 5 | 10 | -20 | 23 |
| 15 |
Bielefeld
|
21 | 4 | 10 | 7 | -6 | 22 |
| 16 |
Augsburg
|
21 | 5 | 7 | 9 | -13 | 22 |
| 17 |
Stuttgart
|
21 | 4 | 6 | 11 | -14 | 18 |
| 18 |
Greuther Furth
|
21 | 2 | 4 | 15 | -38 | 10 |
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.
M. Flekken
G
L. Kübler
D
C. Günter
D
P. Lienhart
D
N. Schlotterbeck
D
V. Grifo
M
M. Eggestein
M
R. Sallai
M
Jeong Woo-Yeong
M
L. Höler
F
Coach: C. Streich
R. Zentner
G
S. Bell
D
S. Widmer
M
A. Hack
D
Aarón Martín
M
M. Niakhate
D
D. Kohr
M
Lee Jae-Sung
F
A. Stach
M
J. Burkardt
F
Coach: B. Svensson
Green columns are the outcomes that came in.
FC Koln
Freiburg
Freiburg
Stuttgart
Dortmund
Freiburg
Freiburg
Bielefeld
Freiburg
Leverkusen
D Aytekin · 111 kamper i vår database
🟥 Red cards: 0,19 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.