Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
W
W
L
L
D
7 of 15
9
league position
VS
10 games
Form · 5 matches
L
W
W
W
L
9 of 15
6
league position
Attack
Average per match in the sample
1.0
Goals
per match
1.4
2.9
Shots on target
per match
3.1
3.8
Corners
per match
2.8
Possession and passing
Average per match in the sample
45
Possession
% за матч
44
291
Accurate passes
per match
300
Discipline
Lower is better
13.5
Fouls
per match
13.1
2.4
Yellow cards
per match
2.4
Defense
Lower is better
1.4
Goals conceded
per match
1.6
Personal Meetings
PAN ahead
draws
OFI ahead
25.01.2026
OFI
1 : 0
Panetolikos
18.10.2025
Panetolikos
4 : 2
OFI
19.01.2025
Panetolikos
1 : 0
OFI
29.09.2024
OFI
1 : 2
Panetolikos
25.09.2024
OFI
2 : 1
Panetolikos
11.05.2024
OFI
1 : 2
Panetolikos
31.01.2024
Panetolikos
3 : 1
OFI
23.01.2024
OFI
1 : 2
Panetolikos
20.01.2024
OFI
1 : 0
Panetolikos
27.09.2023
Panetolikos
1 : 1
OFI
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.4 goals per match — more than the home team (0.8).
The home team concedes an average of 0.9 goals per match — fewer than the opponent (1.5).
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.