Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 7 matches
L
L
L
L
L
D
W
4 of 21
7
league position
VS
9 games
Form · 2 matches
L
W
3 of 6
2
league position
Attack
Average per match in the sample
0.9
Goals
per match
1.3
3.3
Shots on target
per match
2.0
3.7
Corners
per match
3.0
Possession and passing
Average per match in the sample
49
Possession
% за матч
50
255
Accurate passes
per match
305
Discipline
Lower is better
15.0
Fouls
per match
11.0
2.7
Yellow cards
per match
2.5
Defense
Lower is better
1.4
Goals conceded
per match
1.2
Personal Meetings
BLO ahead
draws
STR ahead
26.07.2026
Blooming
1 : 1
The Strongest
28.03.2026
Blooming
1 : 2
The Strongest
03.08.2025
The Strongest
3 : 2
Blooming
30.03.2025
Blooming
3 : 1
The Strongest
26.01.2025
Blooming
1 : 4
The Strongest
20.12.2024
Blooming
4 : 1
The Strongest
22.09.2024
The Strongest
1 : 1
Blooming
20.10.2023
The Strongest
1 : 0
Blooming
29.04.2023
Blooming
1 : 3
The Strongest
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 2.1 goals per match — more than the home team (1.2).
The away team concedes an average of 1.1 goals per match — fewer than the home team (1.4).
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.