Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
D
L
W
D
D
6 of 15
7
league position
VS
7 games
Form · 5 matches
D
W
L
L
L
4 of 15
11
league position
Attack
Average per match in the sample
2.0
Goals
per match
1.2
5.5
Shots on target
per match
3.3
3.5
Corners
per match
1.7
Possession and passing
Average per match in the sample
44
Possession
% за матч
51
296
Accurate passes
per match
208
Discipline
Lower is better
11.5
Fouls
per match
8.3
1.8
Yellow cards
per match
1.5
Defense
Lower is better
2.0
Goals conceded
per match
1.2
Personal Meetings
HAN ahead
draws
WUH ahead
21.04.2026
Wuhan Three Towns
2 : 0
Hangzhou Greentown
27.07.2025
Hangzhou Greentown
3 : 2
Wuhan Three Towns
28.03.2025
Wuhan Three Towns
0 : 4
Hangzhou Greentown
18.10.2024
Wuhan Three Towns
0 : 2
Hangzhou Greentown
21.05.2024
Hangzhou Greentown
3 : 1
Wuhan Three Towns
04.08.2023
Hangzhou Greentown
2 : 1
Wuhan Three Towns
05.05.2023
Wuhan Three Towns
0 : 0
Hangzhou Greentown
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.8 goals per match — more than the opponent (1.0).
The away team concedes an average of 1.5 goals per match — fewer than the home team (2.0).
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.