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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Bayern Munich
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
|
23 | 19 | 4 | 0 | +43 | +26.1 | 61 |
| 2 |
Bayern Munich
|
22 | 16 | 2 | 4 | +36 | +40.4 | 50 |
| 3 |
Stuttgart
|
23 | 15 | 2 | 6 | +23 | +26.0 | 47 |
| 4 |
Dortmund
|
22 | 11 | 8 | 3 | +17 | +8.7 | 41 |
| 5 |
RB Leipzig
|
22 | 12 | 4 | 6 | +20 | +16.4 | 40 |
| 6 |
Ein Frankfurt
|
22 | 8 | 9 | 5 | +6 | -4.6 | 33 |
| 7 |
Werder Bremen
|
23 | 8 | 6 | 9 | -3 | -6.4 | 30 |
| 8 |
Freiburg
|
22 | 8 | 5 | 9 | -11 | -0.0 | 29 |
| 9 |
Heidenheim
|
23 | 7 | 7 | 9 | -7 | -19.1 | 28 |
| 10 |
Hoffenheim
|
22 | 7 | 6 | 9 | -3 | -1.3 | 27 |
| 11 |
M'gladbach
|
23 | 6 | 7 | 10 | -4 | -4.9 | 25 |
| 12 |
Union Berlin
|
23 | 7 | 4 | 12 | -14 | -7.6 | 25 |
| 13 |
Bochum
|
23 | 5 | 10 | 8 | -18 | -16.1 | 25 |
| 14 |
Wolfsburg
|
22 | 6 | 6 | 10 | -8 | -2.8 | 24 |
| 15 |
Augsburg
|
22 | 5 | 8 | 9 | -9 | -6.4 | 23 |
| 16 |
FC Koln
|
23 | 3 | 8 | 12 | -21 | -24.0 | 17 |
| 17 |
Mainz
|
23 | 2 | 9 | 12 | -19 | -0.8 | 15 |
| 18 |
Darmstadt
|
23 | 2 | 7 | 14 | -28 | -23.5 | 13 |
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. Neuer
G
J. Kimmich
D
E. Dier
D
A. Pavlović
M
L. Sané
M
J. Musiala
M
H. Kane
F
Coach: T. Tuchel
J. Blaswich
G
B. Henrichs
D
W. Orbán
D
D. Raum
D
A. Haidara
M
X. Schlager
M
Dani Olmo
M
B. Šeško
F
L. Openda
F
Coach: M. Rose
Green columns are the outcomes that came in.
Bochum
Bayern Munich
Lazio
Bayern Munich
Leverkusen
Bayern Munich
Bayern Munich
M'gladbach
Augsburg
Bayern Munich
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.