Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 4 matches
W
W
L
W
9 of 12
2
league position
VS
9 games
Form · 5 matches
D
D
L
W
L
5 of 15
6
league position
Attack
Average per match in the sample
1.7
Goals
per match
1.6
5.5
Shots on target
per match
3.3
5.0
Corners
per match
4.6
Possession and passing
Average per match in the sample
48
Possession
% за матч
44
306
Accurate passes
per match
247
Discipline
Lower is better
15.9
Fouls
per match
14.2
2.4
Yellow cards
per match
2.5
Defense
Lower is better
1.3
Goals conceded
per match
2.0
Personal Meetings
PUS ahead
draws
DVT ahead
05.04.2026
Diosgyori VTK
1 : 2
Puskas Academy
13.12.2025
Puskas Academy
2 : 1
Diosgyori VTK
30.08.2025
Diosgyori VTK
1 : 1
Puskas Academy
24.05.2025
Puskas Academy
4 : 3
Diosgyori VTK
01.03.2025
Diosgyori VTK
2 : 1
Puskas Academy
26.10.2024
Puskas Academy
1 : 1
Diosgyori VTK
02.03.2024
Diosgyori VTK
1 : 1
Puskas Academy
04.11.2023
Puskas Academy
0 : 0
Diosgyori VTK
29.07.2023
Diosgyori VTK
0 : 1
Puskas Academy
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.8 goals per match — more than the opponent (1.3).
The home team concedes an average of 1.2 goals per match — fewer than the opponent (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.