Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
W
D
W
W
D
W
L
W
W
D
21 of 30
3
league position
VS
10 games
Form · 10 matches
D
L
D
D
W
D
W
D
L
W
14 of 30
12
league position
Attack
Average per match in the sample
1.6
Goals
per match
1.0
0.0
Shots on target
per match
0.0
0.0
Corners
per match
0.0
Possession and passing
Average per match in the sample
0
Possession
% за матч
0
0
Accurate passes
per match
0
Discipline
Lower is better
0.0
Fouls
per match
0.0
0.0
Yellow cards
per match
0.0
Defense
Lower is better
1.2
Goals conceded
per match
1.4
Personal Meetings
SEO ahead
draws
GYE ahead
07.03.2026
Seoul E-Land FC
1 : 0
Gyeongnam FC
01.11.2025
Gyeongnam FC
0 : 0
Seoul E-Land FC
16.08.2025
Gyeongnam FC
1 : 1
Seoul E-Land FC
26.04.2025
Seoul E-Land FC
2 : 1
Gyeongnam FC
03.11.2024
Gyeongnam FC
0 : 3
Seoul E-Land FC
01.06.2024
Seoul E-Land FC
2 : 1
Gyeongnam FC
21.04.2024
Gyeongnam FC
2 : 1
Seoul E-Land FC
07.10.2023
Seoul E-Land FC
1 : 3
Gyeongnam FC
06.08.2023
Seoul E-Land FC
1 : 2
Gyeongnam FC
03.05.2023
Gyeongnam FC
1 : 2
Seoul E-Land FC
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.7 goals per match — more than the opponent (1.3).
The home team concedes an average of 1.3 goals per match — fewer than the opponent (1.7).
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.