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
W
L
W
D
D
8 of 15
5
league position
Attack
Average per match in the sample
1.0
Goals
per match
1.3
2.9
Shots on target
per match
4.0
3.8
Corners
per match
5.2
Possession and passing
Average per match in the sample
45
Possession
% за матч
50
291
Accurate passes
per match
320
Discipline
Lower is better
13.5
Fouls
per match
15.2
2.4
Yellow cards
per match
2.5
Defense
Lower is better
1.4
Goals conceded
per match
1.1
Personal Meetings
PAN ahead
draws
ARI ahead
31.01.2026
Panetolikos
0 : 1
Aris Thessalonikis
06.01.2026
Aris Thessalonikis
2 : 0
Panetolikos
17.09.2025
Panetolikos
0 : 1
Aris Thessalonikis
30.08.2025
Aris Thessalonikis
0 : 2
Panetolikos
23.02.2025
Aris Thessalonikis
2 : 1
Panetolikos
09.11.2024
Panetolikos
2 : 1
Aris Thessalonikis
06.03.2024
Aris Thessalonikis
0 : 0
Panetolikos
13.02.2024
Panetolikos
0 : 1
Aris Thessalonikis
14.01.2024
Panetolikos
0 : 4
Aris Thessalonikis
24.09.2023
Aris Thessalonikis
3 : 0
Panetolikos
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.2 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 (1.1).
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.