Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
W
W
W
W
D
D
W
W
W
L
23 of 30
4
league position
VS
8 games
Form · 5 matches
D
W
L
L
L
4 of 15
11
league position
Attack
Average per match in the sample
2.1
Goals
per match
1.3
5.8
Shots on target
per match
4.5
6.3
Corners
per match
4.4
Possession and passing
Average per match in the sample
62
Possession
% за матч
45
421
Accurate passes
per match
292
Discipline
Lower is better
13.1
Fouls
per match
12.9
1.8
Yellow cards
per match
2.4
Defense
Lower is better
1.5
Goals conceded
per match
1.9
Personal Meetings
BEI ahead
draws
WUH ahead
27.06.2026
Beijing Guoan
1 : 0
Wuhan Three Towns
08.03.2026
Wuhan Three Towns
0 : 2
Beijing Guoan
25.08.2025
Beijing Guoan
4 : 0
Wuhan Three Towns
15.04.2025
Wuhan Three Towns
4 : 4
Beijing Guoan
07.07.2024
Beijing Guoan
1 : 2
Wuhan Three Towns
30.03.2024
Wuhan Three Towns
0 : 1
Beijing Guoan
16.07.2023
Beijing Guoan
1 : 1
Wuhan Three Towns
20.04.2023
Wuhan Three Towns
1 : 1
Beijing Guoan
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 2.2 goals per match — more than the opponent (1.0).
The home team concedes an average of 1.2 goals per match — fewer than the opponent (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.