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
W
W
L
W
W
22 of 30
6
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
2.0
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
2.0
Goals conceded
per match
1.7
Personal Meetings
LEV ahead
draws
FLO ahead
05.07.2026
Flora II
0 : 4
FCI Levadia II
05.04.2026
FCI Levadia II
1 : 3
Flora II
22.09.2025
Flora II
5 : 0
FCI Levadia II
18.08.2025
FCI Levadia II
1 : 2
Flora II
08.05.2025
FCI Levadia II
0 : 2
Flora II
02.03.2025
Flora II
2 : 0
FCI Levadia II
02.11.2024
FCI Levadia II
2 : 4
Flora II
21.08.2024
Flora II
4 : 1
FCI Levadia II
30.06.2024
FCI Levadia II
1 : 3
Flora II
30.03.2024
Flora II
3 : 1
FCI Levadia II
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 (1.7).
The away team concedes an average of 1.5 goals per match — fewer than the home team (2.0).
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.