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.
Unlock with ProAlready have an account? Log in
RB Leipzig
Mainz
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 5–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
M'gladbach
|
9 | 6 | 1 | 2 | +10 | 19 |
| 2 |
Bayern Munich
|
9 | 5 | 3 | 1 | +13 | 18 |
| 3 |
Freiburg
|
9 | 5 | 2 | 2 | +7 | 17 |
| 4 |
Wolfsburg
|
9 | 4 | 5 | 0 | +6 | 17 |
| 5 |
Hoffenheim
|
10 | 5 | 2 | 3 | +1 | 17 |
| 6 |
Dortmund
|
9 | 4 | 4 | 1 | +9 | 16 |
| 7 |
RB Leipzig
|
9 | 4 | 3 | 2 | +7 | 15 |
| 8 |
Schalke 04
|
9 | 4 | 3 | 2 | +5 | 15 |
| 9 |
Leverkusen
|
9 | 4 | 3 | 2 | +1 | 15 |
| 10 |
Ein Frankfurt
|
9 | 4 | 2 | 3 | +2 | 14 |
| 11 |
Hertha
|
9 | 3 | 2 | 4 | -1 | 11 |
| 12 |
Werder Bremen
|
9 | 2 | 4 | 3 | -4 | 10 |
| 13 |
Mainz
|
9 | 3 | 0 | 6 | -9 | 9 |
| 14 |
Fortuna Dusseldorf
|
9 | 2 | 1 | 6 | -6 | 7 |
| 15 |
Union Berlin
|
9 | 2 | 1 | 6 | -6 | 7 |
| 16 |
FC Koln
|
9 | 2 | 1 | 6 | -10 | 7 |
| 17 |
Augsburg
|
9 | 1 | 4 | 4 | -11 | 7 |
| 18 |
Paderborn
|
10 | 1 | 1 | 8 | -14 | 4 |
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.
P. Gulácsi
G
L. Klostermann
D
N. Mukiele
D
D. Upamecano
D
M. Sabitzer
M
K. Laimer
M
C. Nkunku
M
Y. Poulsen
F
Coach: J. Nagelsmann
R. Zentner
G
A. Hack
D
Aarón Martín
D
J. St. Juste
D
R. Pierre-Gabriel
D
R. Baku
M
Coach: S. Schwarz
Green columns are the outcomes that came in.
Freiburg
RB Leipzig
RB Leipzig
Wolfsburg
Leverkusen
RB Leipzig
RB Leipzig
Schalke 04
Werder Bremen
RB Leipzig
G Winkmann · 25 kamper i vår database
🟥 Red cards: 0,12 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.