Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
D
W
D
W
L
8 of 15
10
league position
VS
3 games
Form · 3 matches
D
L
W
4 of 9
11
league position
Attack
Average per match in the sample
1.3
Goals
per match
1.0
4.5
Shots on target
per match
3.4
5.2
Corners
per match
4.4
Possession and passing
Average per match in the sample
52
Possession
% за матч
45
343
Accurate passes
per match
274
Discipline
Lower is better
12.1
Fouls
per match
11.6
2.1
Yellow cards
per match
2.3
Defense
Lower is better
1.3
Goals conceded
per match
2.0
Personal Meetings
FAR ahead
draws
MET ahead
18.05.2026
Farul Constanta
0 : 1
Metaloglobus
07.12.2025
Metaloglobus
2 : 1
Farul Constanta
01.08.2025
Farul Constanta
2 : 1
Metaloglobus
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.3 goals per match — more than the home team (1.0).
The home team concedes an average of 1.3 goals per match — fewer than the opponent (1.3).
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.