Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
W
W
L
D
7 of 15
4
league position
VS
9 games
Form · 5 matches
W
W
L
W
L
9 of 15
3
league position
Attack
Average per match in the sample
1.1
Goals
per match
1.2
0.0
Shots on target
per match
4.6
0.0
Corners
per match
5.1
Possession and passing
Average per match in the sample
0
Possession
% за матч
45
0
Accurate passes
per match
272
Discipline
Lower is better
0.0
Fouls
per match
11.7
0.0
Yellow cards
per match
1.9
Defense
Lower is better
1.5
Goals conceded
per match
1.3
Personal Meetings
ZAK ahead
draws
KRA ahead
12.04.2025
AE Zakakiou
0 : 1
Krasava Ypsonas
22.02.2025
Krasava Ypsonas
2 : 0
AE Zakakiou
09.11.2024
AE Zakakiou
2 : 3
Krasava Ypsonas
15.10.2022
Krasava Ypsonas
1 : 2
AE Zakakiou
09.04.2022
Krasava Ypsonas
2 : 1
AE Zakakiou
18.12.2021
AE Zakakiou
2 : 1
Krasava Ypsonas
10.04.2021
AE Zakakiou
2 : 0
Krasava Ypsonas
07.11.2020
Krasava Ypsonas
0 : 0
AE Zakakiou
19.08.2020
Krasava Ypsonas
2 : 3
AE Zakakiou
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.7 goals per match — more than the opponent (1.6).
The home team concedes an average of 1.0 goals per match — fewer than the opponent (1.0).
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.