Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
W
D
W
W
D
L
L
W
L
14 of 30
8
league position
VS
10 games
Form · 10 matches
L
W
L
W
L
D
L
L
D
W
11 of 30
3
league position
Attack
Average per match in the sample
1.9
Goals
per match
2.0
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
1.5
Goals conceded
per match
1.7
Personal Meetings
ELV ahead
draws
FLO ahead
22.06.2026
Elva
0 : 3
Flora II
23.04.2026
Flora II
3 : 2
Elva
02.11.2025
Elva
2 : 0
Flora II
12.07.2025
Flora II
2 : 0
Elva
29.05.2025
Flora II
0 : 1
Elva
03.05.2025
Elva
2 : 2
Flora II
22.09.2024
Flora II
2 : 0
Elva
27.07.2024
Elva
1 : 3
Flora II
12.05.2024
Elva
2 : 2
Flora II
09.03.2024
Flora II
2 : 0
Elva
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 2.7 goals per match — more than the home team (1.3).
The away team concedes an average of 1.5 goals per match — fewer than the home team (1.7).
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.