Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 4 matches
L
D
L
W
4 of 12
3
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
2.3
Goals
per match
1.8
5.3
Shots on target
per match
4.7
6.2
Corners
per match
3.6
Possession and passing
Average per match in the sample
48
Possession
% за матч
50
248
Accurate passes
per match
352
Discipline
Lower is better
14.8
Fouls
per match
11.1
2.2
Yellow cards
per match
2.6
Defense
Lower is better
1.7
Goals conceded
per match
1.4
Personal Meetings
PAK ahead
draws
ZAL ahead
03.08.2026
Zalaegerszegi TE
5 : 2
Paks
14.03.2026
Paks
1 : 1
Zalaegerszegi TE
29.11.2025
Zalaegerszegi TE
1 : 0
Paks
17.08.2025
Paks
2 : 2
Zalaegerszegi TE
22.04.2025
Paks
2 : 1
Zalaegerszegi TE
29.03.2025
Zalaegerszegi TE
1 : 1
Paks
24.11.2024
Paks
2 : 2
Zalaegerszegi TE
10.08.2024
Zalaegerszegi TE
3 : 1
Paks
11.05.2024
Zalaegerszegi TE
1 : 1
Paks
16.02.2024
Paks
3 : 4
Zalaegerszegi TE
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 2.0 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 (1.4).
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.