Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 1 matches
W
3 of 3
7
league position
VS
10 games
Form · 1 matches
L
0 of 3
14
league position
Attack
Average per match in the sample
1.6
Goals
per match
1.6
5.0
Shots on target
per match
1.0
3.0
Corners
per match
0.5
Possession and passing
Average per match in the sample
51
Possession
% за матч
43
255
Accurate passes
per match
295
Discipline
Lower is better
15.0
Fouls
per match
14.0
1.0
Yellow cards
per match
6.0
Defense
Lower is better
2.0
Goals conceded
per match
1.8
Personal Meetings
PAN ahead
draws
LEV ahead
19.01.2026
Panetolikos
1 : 3
Levadiakos
05.10.2025
Levadiakos
6 : 0
Panetolikos
25.07.2025
Levadiakos
0 : 0
Panetolikos
14.05.2025
Levadiakos
1 : 2
Panetolikos
29.03.2025
Panetolikos
1 : 2
Levadiakos
09.03.2025
Panetolikos
0 : 0
Levadiakos
30.11.2024
Levadiakos
1 : 1
Panetolikos
29.04.2023
Panetolikos
2 : 2
Levadiakos
26.02.2023
Levadiakos
0 : 0
Panetolikos
06.11.2022
Panetolikos
0 : 0
Levadiakos
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.0 goals per match — more than the opponent (0.5).
The home team concedes an average of 1.5 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.