Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 3 matches
W
W
W
9 of 9
1
league position
VS
10 games
Form · 3 matches
L
L
D
1 of 9
10
league position
Attack
Average per match in the sample
1.7
Goals
per match
1.2
3.1
Shots on target
per match
0.0
3.0
Corners
per match
0.0
Possession and passing
Average per match in the sample
51
Possession
% за матч
0
361
Accurate passes
per match
0
Discipline
Lower is better
12.6
Fouls
per match
0.0
1.4
Yellow cards
per match
0.0
Defense
Lower is better
1.0
Goals conceded
per match
1.6
Personal Meetings
FC ahead
draws
BKM ahead
05.04.2026
FC Noah
2 : 0
BKMA
08.03.2026
BKMA
0 : 2
FC Noah
06.12.2025
FC Noah
2 : 3
BKMA
13.04.2025
BKMA
1 : 5
FC Noah
09.04.2025
FC Noah
3 : 0
BKMA
25.08.2024
BKMA
1 : 2
FC Noah
19.04.2024
FC Noah
1 : 0
BKMA
08.12.2023
BKMA
0 : 2
FC Noah
05.10.2023
FC Noah
3 : 0
BKMA
04.08.2023
BKMA
1 : 0
FC Noah
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 2.7 goals per match — more than the opponent (0.3).
The home team concedes an average of 1.0 goals per match — fewer than the opponent (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.