Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 4 matches
D
D
W
L
5 of 12
7
league position
VS
7 games
Form · 4 matches
L
D
L
D
2 of 12
14
league position
Attack
Average per match in the sample
1.0
Goals
per match
1.4
2.7
Shots on target
per match
3.6
4.0
Corners
per match
4.6
Possession and passing
Average per match in the sample
43
Possession
% за матч
44
232
Accurate passes
per match
241
Discipline
Lower is better
15.7
Fouls
per match
11.7
2.1
Yellow cards
per match
1.8
Defense
Lower is better
1.1
Goals conceded
per match
1.1
Personal Meetings
RUB ahead
draws
AKH ahead
22.11.2025
Rubin
1 : 0
Akhmat Grozny
26.08.2025
Akhmat Grozny
2 : 0
Rubin
20.07.2025
Akhmat Grozny
0 : 2
Rubin
01.03.2025
Akhmat Grozny
2 : 1
Rubin
05.10.2024
Rubin
2 : 0
Akhmat Grozny
31.03.2024
Rubin
2 : 1
Akhmat Grozny
08.10.2023
Akhmat Grozny
0 : 1
Rubin
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.4 goals per match — more than the opponent (0.9).
The home team concedes an average of 1.5 goals per match — fewer than the opponent (1.6).
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.