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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RB Leipzig
Hoffenheim
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
28 | 20 | 5 | 3 | +44 | 65 |
| 2 |
RB Leipzig
|
28 | 18 | 6 | 4 | +29 | 60 |
| 3 |
Wolfsburg
|
28 | 15 | 9 | 4 | +23 | 54 |
| 4 |
Ein Frankfurt
|
28 | 14 | 11 | 3 | +19 | 53 |
| 5 |
Dortmund
|
28 | 14 | 4 | 10 | +17 | 46 |
| 6 |
Leverkusen
|
28 | 12 | 8 | 8 | +13 | 44 |
| 7 |
Union Berlin
|
28 | 9 | 13 | 6 | +8 | 40 |
| 8 |
M'gladbach
|
28 | 10 | 10 | 8 | +5 | 40 |
| 9 |
Stuttgart
|
28 | 10 | 9 | 9 | +6 | 39 |
| 10 |
Freiburg
|
28 | 10 | 7 | 11 | -2 | 37 |
| 11 |
Augsburg
|
28 | 9 | 5 | 14 | -13 | 32 |
| 12 |
Hoffenheim
|
28 | 8 | 7 | 13 | -6 | 31 |
| 13 |
Werder Bremen
|
28 | 7 | 9 | 12 | -11 | 30 |
| 14 |
Mainz
|
28 | 7 | 7 | 14 | -18 | 28 |
| 15 |
Hertha
|
28 | 6 | 8 | 14 | -14 | 26 |
| 16 |
Bielefeld
|
28 | 7 | 5 | 16 | -24 | 26 |
| 17 |
FC Koln
|
28 | 5 | 8 | 15 | -23 | 23 |
| 18 |
Schalke 04
|
28 | 2 | 7 | 19 | -53 | 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.
P. Gulácsi
G
V. Orban
D
Angeliño
M
N. Mukiele
M
D. Upamecano
D
I. Konaté
D
M. Sabitzer
M
C. Nkunku
F
Daniel Olmo
M
T. Adams
M
Coach: J. Nagelsmann
O. Baumann
G
S. Posch
D
C. Richards
D
F. Grillitsch
M
R. Sessegnon
D
A. Kramarić
M
R. Skov
M
G. Rutter
F
Coach: S. Hoeneb
Green columns are the outcomes that came in.
Werder Bremen
RB Leipzig
RB Leipzig
Bayern Munich
Bielefeld
RB Leipzig
RB Leipzig
Ein Frankfurt
Freiburg
RB Leipzig
M Gräfe · 32 kamper i vår database
🟥 Red cards: 0,13 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.