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
Hertha
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: 1–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
RB Leipzig
|
4 | 3 | 1 | 0 | +8 | 10 |
| 2 |
Bayern Munich
|
4 | 3 | 0 | 1 | +9 | 9 |
| 3 |
Dortmund
|
4 | 3 | 0 | 1 | +6 | 9 |
| 4 |
Stuttgart
|
5 | 2 | 2 | 1 | +4 | 8 |
| 5 |
Ein Frankfurt
|
4 | 2 | 2 | 0 | +3 | 8 |
| 6 |
Augsburg
|
4 | 2 | 1 | 1 | +2 | 7 |
| 7 |
Werder Bremen
|
4 | 2 | 1 | 1 | +0 | 7 |
| 8 |
Hoffenheim
|
4 | 2 | 0 | 2 | +2 | 6 |
| 9 |
Leverkusen
|
4 | 1 | 3 | 0 | +1 | 6 |
| 10 |
Union Berlin
|
4 | 1 | 2 | 1 | +2 | 5 |
| 11 |
M'gladbach
|
4 | 1 | 2 | 1 | -1 | 5 |
| 12 |
Freiburg
|
4 | 1 | 2 | 1 | -3 | 5 |
| 13 |
Wolfsburg
|
4 | 0 | 4 | 0 | +0 | 4 |
| 14 |
Bielefeld
|
4 | 1 | 1 | 2 | -3 | 4 |
| 15 |
Hertha
|
4 | 1 | 0 | 3 | -2 | 3 |
| 16 |
FC Koln
|
5 | 0 | 2 | 3 | -4 | 2 |
| 17 |
Schalke 04
|
4 | 0 | 1 | 3 | -14 | 1 |
| 18 |
Mainz
|
4 | 0 | 0 | 4 | -10 | 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.
P. Gulácsi
G
V. Orban
D
B. Henrichs
M
Angeliño
D
N. Mukiele
D
D. Upamecano
D
C. Nkunku
M
A. Sørloth
F
J. Kluivert
M
Coach: J. Nagelsmann
A. Schwolow
G
N. Stark
M
O. Alderete
D
M. Mittelstädt
D
L. Tousart
M
D. Lukébakio
M
Matheus Cunha
M
Coach: B. Labbadia
Green columns are the outcomes that came in.
Augsburg
RB Leipzig
RB Leipzig
Schalke 04
Leverkusen
RB Leipzig
RB Leipzig
Mainz
Augsburg
RB Leipzig
T Stieler · 148 kamper i vår database
🟥 Red cards: 0,18 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.