Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
D
L
D
W
W
8 of 15
9
league position
VS
8 games
Form · 10 matches
W
L
L
D
L
D
D
D
L
W
10 of 30
11
league position
Attack
Average per match in the sample
1.4
Goals
per match
1.8
3.8
Shots on target
per match
5.1
4.1
Corners
per match
4.7
Possession and passing
Average per match in the sample
46
Possession
% за матч
53
366
Accurate passes
per match
408
Discipline
Lower is better
11.4
Fouls
per match
12.1
1.8
Yellow cards
per match
1.9
Defense
Lower is better
1.7
Goals conceded
per match
1.1
Personal Meetings
IF ahead
draws
MJA ahead
18.04.2026
Mjallby AIF
3 : 0
IF Brommapojkarna
28.09.2025
IF Brommapojkarna
0 : 1
Mjallby AIF
19.05.2025
Mjallby AIF
1 : 0
IF Brommapojkarna
21.09.2024
IF Brommapojkarna
0 : 0
Mjallby AIF
04.05.2024
Mjallby AIF
1 : 1
IF Brommapojkarna
15.03.2024
IF Brommapojkarna
2 : 1
Mjallby AIF
05.11.2023
Mjallby AIF
1 : 2
IF Brommapojkarna
24.04.2023
IF Brommapojkarna
2 : 0
Mjallby AIF
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.5 goals per match — more than the opponent (1.5).
The away team concedes an average of 1.4 goals per match — fewer than the home team (1.5).
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.