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 1.4 - 1.3. Heidenheim are favored to win this match. With a predicted total of 2.7 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 | Kevin Müller |
60
|
|
2 | Marnon Busch |
90
|
|
3 | Jan Schöppner |
80
|
|
4 | Tim Siersleben |
90
|
|
5 | Benedikt Gimber |
90
|
|
6 | Patrick Mainka |
90
|
|
8 | Leo Scienza |
29
|
|
13 | Frans Krätzig |
90
|
|
18 | Marvin Pieringer |
81
|
|
21 | Adrian Beck |
90
|
|
23 | Haktab Omar Traore |
90
|
16 | Julian Niehues |
10
|
|
10 | Paul Wanner | - | |
12 | Budu Zivzivadze |
9
|
|
17 | Mathias Honsak |
10
|
|
19 | Jonas Föhrenbach | - | |
20 | Luca Kerber | - | |
27 | Thomas Keller | - | |
31 | Sirlord Conteh |
51
|
|
40 | Frank Feller |
30
|
# | Player | Rating | Mins |
---|---|---|---|
1 | Timo Horn |
90
|
|
5 | Bernardo |
90
|
|
6 | Ibrahima Sissoko |
90
|
|
11 | Giorgos Masouras |
79
|
|
14 | Tim Oermann |
90
|
|
15 | Felix Passlack |
79
|
|
17 | Tom Krauß |
90
|
|
19 | Matúš Bero |
90
|
|
20 | Ivan Ordets |
90
|
|
32 | Maximilian Wittek |
90
|
|
33 | Philipp Hofmann |
10
|
4 | Erhan Mašović | - | |
8 | Anthony Losilla | - | |
9 | Myron Boadu |
80
|
|
10 | Dani de Wit |
8
|
|
13 | Jakov Medić |
8
|
|
21 | Gerrit Holtmann |
11
|
|
24 | Mats Pannewig | - | |
27 | Patrick Drewes | - | |
29 | Moritz Broschinski |
11
|
0.0 | Expected Goals (xG) | 0.0 |
46% | Possession | 54% |
12 | Shots | 14 |
3 | Shots on Target | 3 |
6 | Corners | 4 |
8 | Fouls | 14 |
0 | Yellow Cards | 1 |
0 | Red Cards | 0 |
1 | Offsides | 2 |