Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
W
D
W
W
W
W
W
D
W
W
26 of 30
7
league position
VS
10 games
Form · 10 matches
L
L
L
L
L
W
W
W
L
D
10 of 30
10
league position
Attack
Average per match in the sample
2.6
Goals
per match
1.0
0.0
Shots on target
per match
0.0
0.0
Corners
per match
0.0
Possession and passing
Average per match in the sample
0
Possession
% за матч
0
0
Accurate passes
per match
0
Discipline
Lower is better
0.0
Fouls
per match
0.0
0.0
Yellow cards
per match
0.0
Defense
Lower is better
1.6
Goals conceded
per match
1.6
Personal Meetings
MET ahead
draws
FS ahead
02.11.2025
FS Jelgava
2 : 2
Metta / LU
09.08.2025
Metta / LU
2 : 2
FS Jelgava
13.06.2025
FS Jelgava
2 : 1
Metta / LU
18.04.2025
Metta / LU
0 : 0
FS Jelgava
22.09.2024
Metta / LU
2 : 0
FS Jelgava
01.07.2024
FS Jelgava
1 : 0
Metta / LU
11.05.2024
Metta / LU
3 : 0
FS Jelgava
29.03.2024
FS Jelgava
0 : 1
Metta / LU
22.10.2023
Metta / LU
0 : 1
FS Jelgava
31.07.2023
Metta / LU
0 : 1
FS Jelgava
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 0.9 goals per match — more than the opponent (0.8).
The home team concedes an average of 2.1 goals per match — fewer than the opponent (2.3).
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.