Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
L
L
L
L
L
D
W
L
L
4 of 30
12
league position
VS
6 games
Form · 5 matches
D
W
L
L
L
4 of 15
11
league position
Attack
Average per match in the sample
1.3
Goals
per match
1.3
4.2
Shots on target
per match
4.5
4.5
Corners
per match
4.4
Possession and passing
Average per match in the sample
48
Possession
% за матч
45
300
Accurate passes
per match
292
Discipline
Lower is better
12.9
Fouls
per match
12.9
2.2
Yellow cards
per match
2.4
Defense
Lower is better
1.8
Goals conceded
per match
1.9
Personal Meetings
QIN ahead
draws
WUH ahead
06.05.2026
Wuhan Three Towns
1 : 3
Qingdao Jonoon
02.11.2025
Qingdao Jonoon
1 : 0
Wuhan Three Towns
13.06.2025
Wuhan Three Towns
2 : 0
Qingdao Jonoon
15.09.2024
Qingdao Jonoon
1 : 1
Wuhan Three Towns
05.05.2024
Wuhan Three Towns
1 : 0
Qingdao Jonoon
30.07.2023
Wuhan Three Towns
1 : 0
Qingdao Jonoon
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.0 goals per match — more than the home team (0.9).
The away team concedes an average of 1.5 goals per match — fewer than the home team (1.8).
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.