Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
D
W
W
D
W
11 of 15
5
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
2.2
Goals
per match
1.3
5.8
Shots on target
per match
4.5
4.9
Corners
per match
4.4
Possession and passing
Average per match in the sample
51
Possession
% за матч
45
344
Accurate passes
per match
292
Discipline
Lower is better
14.3
Fouls
per match
12.9
2.1
Yellow cards
per match
2.4
Defense
Lower is better
1.6
Goals conceded
per match
1.9
Personal Meetings
SHA ahead
draws
WUH ahead
24.05.2026
Shandong Luneng
3 : 3
Wuhan Three Towns
22.11.2025
Wuhan Three Towns
1 : 5
Shandong Luneng
25.06.2025
Shandong Luneng
3 : 1
Wuhan Three Towns
21.09.2024
Shandong Luneng
0 : 0
Wuhan Three Towns
11.05.2024
Wuhan Three Towns
1 : 2
Shandong Luneng
29.09.2023
Shandong Luneng
2 : 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 1.6 goals per match — more than the opponent (1.0).
The home team concedes an average of 1.3 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.