Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
L
W
W
W
9 of 15
6
league position
VS
9 games
Form · 6 matches
D
W
D
L
D
W
9 of 18
5
league position
Attack
Average per match in the sample
1.3
Goals
per match
2.0
0.0
Shots on target
per match
4.9
0.0
Corners
per match
4.2
Possession and passing
Average per match in the sample
0
Possession
% за матч
48
0
Accurate passes
per match
328
Discipline
Lower is better
0.0
Fouls
per match
12.8
0.0
Yellow cards
per match
2.3
Defense
Lower is better
1.2
Goals conceded
per match
1.9
Personal Meetings
MEZ ahead
draws
MTK ahead
29.10.2025
MTK Budapest
5 : 1
Mezokovesd-zsory
17.05.2024
Mezokovesd-zsory
1 : 1
MTK Budapest
23.02.2024
MTK Budapest
3 : 1
Mezokovesd-zsory
29.10.2023
Mezokovesd-zsory
1 : 0
MTK Budapest
01.02.2023
MTK Budapest
0 : 2
Mezokovesd-zsory
29.06.2022
Mezokovesd-zsory
5 : 4
MTK Budapest
22.04.2022
MTK Budapest
0 : 4
Mezokovesd-zsory
30.01.2022
Mezokovesd-zsory
1 : 1
MTK Budapest
25.09.2021
MTK Budapest
1 : 0
Mezokovesd-zsory
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.6 goals per match — more than the home team (1.4).
The home team concedes an average of 1.0 goals per match — fewer than the opponent (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.