Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
L
W
W
W
W
L
W
D
L
16 of 30
6
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
1.3
Goals
per match
1.3
3.3
Shots on target
per match
4.5
4.0
Corners
per match
4.4
Possession and passing
Average per match in the sample
46
Possession
% за матч
45
293
Accurate passes
per match
292
Discipline
Lower is better
11.5
Fouls
per match
12.9
1.8
Yellow cards
per match
2.4
Defense
Lower is better
1.3
Goals conceded
per match
1.9
Personal Meetings
TIA ahead
draws
WUH ahead
01.05.2026
Tianjin Teda
2 : 2
Wuhan Three Towns
14.09.2025
Tianjin Teda
4 : 0
Wuhan Three Towns
27.04.2025
Wuhan Three Towns
2 : 1
Tianjin Teda
16.08.2024
Tianjin Teda
1 : 0
Wuhan Three Towns
26.04.2024
Wuhan Three Towns
2 : 1
Tianjin Teda
23.09.2023
Wuhan Three Towns
0 : 1
Tianjin Teda
04.06.2023
Tianjin Teda
1 : 1
Wuhan Three Towns
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.5 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 (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.