Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
D
D
L
W
L
5 of 15
6
league position
VS
10 games
Form · 4 matches
L
L
W
L
3 of 12
10
league position
Attack
Average per match in the sample
1.6
Goals
per match
1.8
3.7
Shots on target
per match
4.7
4.2
Corners
per match
3.6
Possession and passing
Average per match in the sample
46
Possession
% за матч
50
245
Accurate passes
per match
352
Discipline
Lower is better
14.6
Fouls
per match
11.1
2.5
Yellow cards
per match
2.6
Defense
Lower is better
1.8
Goals conceded
per match
1.4
Personal Meetings
DIO ahead
draws
ZAL ahead
28.02.2026
Diosgyori VTK
1 : 1
Zalaegerszegi TE
08.11.2025
Zalaegerszegi TE
2 : 0
Diosgyori VTK
02.08.2025
Diosgyori VTK
2 : 2
Zalaegerszegi TE
04.05.2025
Diosgyori VTK
1 : 1
Zalaegerszegi TE
09.02.2025
Zalaegerszegi TE
2 : 1
Diosgyori VTK
28.09.2024
Diosgyori VTK
2 : 1
Zalaegerszegi TE
30.03.2024
Zalaegerszegi TE
5 : 1
Diosgyori VTK
27.02.2024
Diosgyori VTK
4 : 2
Zalaegerszegi TE
03.12.2023
Diosgyori VTK
0 : 3
Zalaegerszegi TE
18.08.2023
Zalaegerszegi TE
1 : 3
Diosgyori VTK
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.3 goals per match — more than the opponent (1.1).
The away team concedes an average of 1.3 goals per match — fewer than the home team (1.6).
Estimate — a statistical Poisson model based on average goals, not an AI-model prediction.
This is not an AI model prediction — it's a simple statistical estimate based on average figures, without accounting for lineups, injuries or opponents' form.