Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
W
W
L
W
W
12 of 15
1
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
1.8
Goals
per match
1.6
4.2
Shots on target
per match
7.7
5.5
Corners
per match
5.3
Possession and passing
Average per match in the sample
57
Possession
% за матч
49
397
Accurate passes
per match
349
Discipline
Lower is better
11.2
Fouls
per match
13.0
1.8
Yellow cards
per match
1.3
Defense
Lower is better
1.2
Goals conceded
per match
1.2
Personal Meetings
SHA ahead
draws
WUH ahead
14.08.2026
Wuhan Three Towns
2 : 3
SHANGHAI SIPG
25.04.2026
SHANGHAI SIPG
4 : 0
Wuhan Three Towns
26.09.2025
SHANGHAI SIPG
3 : 2
Wuhan Three Towns
05.05.2025
Wuhan Three Towns
0 : 2
SHANGHAI SIPG
25.06.2024
Wuhan Three Towns
0 : 2
SHANGHAI SIPG
01.03.2024
SHANGHAI SIPG
3 : 1
Wuhan Three Towns
12.07.2023
SHANGHAI SIPG
3 : 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 3.2 goals per match — more than the opponent (1.0).
The home team concedes an average of 1.0 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.