Bundesliga
Our AI model analyzes team form, head-to-head history, and recent performance to generate these predictions.
Based on our advanced statistical model, we predict a score around 2.0 - 0.8. Borussia Dortmund are favored to win this match. With a predicted total of 2.9 goals, this match is expected to go over 2.5 goals.
The probability of each team scoring a specific number of goals (0-4+).
The likelihood of the total match goals being above or below specific thresholds.
Performance statistics from the completed match, showing starters and substitutes.
# | Player | Rating | Mins |
---|---|---|---|
1 | Gregor Kobel |
90
|
|
3 | Waldemar Anton |
90
|
|
5 | Ramy Bensebaini |
90
|
|
25 | Niklas Süle |
90
|
|
26 | Julian Ryerson |
90
|
|
43 | Jamie Bynoe-Gittens |
67
|
|
8 | Felix Nmecha |
76
|
|
9 | Serhou Guirassy |
82
|
|
10 | Julian Brandt |
76
|
|
13 | Pascal Groß |
82
|
|
24 | Daniel Svensson |
90
|
2 | Yan Couto | - | |
6 | Salih Özcan | - | |
7 | Giovanni Reyna | - | |
16 | Julien Duranville |
14
|
|
17 | Carney Chukwuemeka |
8
|
|
20 | Marcel Sabitzer |
8
|
|
23 | Emre Can |
14
|
|
27 | Karim Adeyemi |
23
|
|
33 | Alexander Meyer | - |
# | Player | Rating | Mins |
---|---|---|---|
1 | Kamil Grabara |
90
|
|
2 | Kilian Fischer |
76
|
|
4 | Konstantinos Koulierakis |
90
|
|
6 | Aster Vranckx |
90
|
|
7 | Andreas Skov Olsen |
90
|
|
10 | Lukas Nmecha |
70
|
|
11 | Tiago Tomás |
70
|
|
18 | Denis Vavro |
76
|
|
21 | Joakim Mæhle |
90
|
|
24 | Bence Dárdai |
90
|
|
39 | Patrick Wimmer |
70
|
9 | Mohamed El Amine Amoura |
20
|
|
23 | Jonas Wind |
20
|
|
5 | Mads Roerslev |
14
|
|
12 | Pavao Pervan | - | |
16 | Jakub Kamiński | - | |
17 | Kevin Behrens | - | |
19 | Lovro Majer |
20
|
|
31 | Yannick Gerhardt | - | |
33 | David Odogu |
14
|
0.0 | Expected Goals (xG) | 0.0 |
55% | Possession | 45% |
11 | Shots | 11 |
5 | Shots on Target | 2 |
4 | Corners | 3 |
13 | Fouls | 6 |
0 | Yellow Cards | 1 |
0 | Red Cards | 0 |
1 | Offsides | 2 |