Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
D
L
W
W
W
10 of 15
11
league position
VS
6 games
Form · 4 matches
L
L
W
L
3 of 12
8
league position
Attack
Average per match in the sample
1.3
Goals
per match
1.5
4.5
Shots on target
per match
0.0
3.0
Corners
per match
0.0
Possession and passing
Average per match in the sample
50
Possession
% за матч
0
296
Accurate passes
per match
0
Discipline
Lower is better
12.0
Fouls
per match
0.0
2.5
Yellow cards
per match
0.0
Defense
Lower is better
1.6
Goals conceded
per match
1.8
Personal Meetings
CHR ahead
draws
ZIZ ahead
01.03.2026
Viktoria Žižkov
2 : 1
Chrudim
30.07.2025
Chrudim
3 : 2
Viktoria Žižkov
04.05.2025
Viktoria Žižkov
1 : 2
Chrudim
05.10.2024
Chrudim
1 : 5
Viktoria Žižkov
21.04.2024
Viktoria Žižkov
3 : 1
Chrudim
23.09.2023
Chrudim
2 : 2
Viktoria Žižkov
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 (1.3).
The home team concedes an average of 1.7 goals per match — fewer than the opponent (1.7).
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.