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
FC Ingolstadt 04
Dortmund
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: 2–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
7 | 5 | 2 | 0 | +14 | 17 |
| 2 |
FC Koln
|
7 | 4 | 3 | 0 | +8 | 15 |
| 3 |
RB Leipzig
|
7 | 4 | 3 | 0 | +7 | 15 |
| 4 |
Ein Frankfurt
|
8 | 4 | 2 | 2 | +5 | 14 |
| 5 |
Hertha
|
7 | 4 | 2 | 1 | +4 | 14 |
| 6 |
Dortmund
|
7 | 4 | 1 | 2 | +10 | 13 |
| 7 |
Hoffenheim
|
7 | 3 | 4 | 0 | +3 | 13 |
| 8 |
Mainz
|
7 | 3 | 2 | 2 | +2 | 11 |
| 9 |
M'gladbach
|
7 | 3 | 2 | 2 | +0 | 11 |
| 10 |
Leverkusen
|
7 | 3 | 1 | 3 | +2 | 10 |
| 11 |
Freiburg
|
7 | 3 | 0 | 4 | -3 | 9 |
| 12 |
Augsburg
|
7 | 2 | 2 | 3 | -3 | 8 |
| 13 |
Werder Bremen
|
7 | 2 | 1 | 4 | -9 | 7 |
| 14 |
Wolfsburg
|
7 | 1 | 3 | 3 | -4 | 6 |
| 15 |
Darmstadt
|
7 | 1 | 2 | 4 | -9 | 5 |
| 16 |
Schalke 04
|
7 | 1 | 1 | 5 | -4 | 4 |
| 17 |
Hamburg
|
8 | 0 | 2 | 6 | -13 | 2 |
| 18 |
FC Ingolstadt 04
|
7 | 0 | 1 | 6 | -10 | 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.
Ø. Nyland
G
F. Hadergjonaj
D
P. Groß
F
L. Hinterseer
F
Coach: M. Kauczinski
Bartra
D
M. Ginter
D
O. Dembélé
F
P. Aubameyang
F
Coach: T. Tuchel
Green columns are the outcomes that came in.
FC Koln
FC Ingolstadt 04
FC Ingolstadt 04
Hoffenheim
M'gladbach
FC Ingolstadt 04
FC Ingolstadt 04
Ein Frankfurt
Bayern Munich
FC Ingolstadt 04
Felix Zwayer · 92 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.