Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
W
L
L
W
6 of 15
7
league position
VS
10 games
Form · 5 matches
L
L
W
W
D
7 of 15
4
league position
Attack
Average per match in the sample
1.3
Goals
per match
1.2
4.3
Shots on target
per match
3.4
4.3
Corners
per match
3.9
Possession and passing
Average per match in the sample
50
Possession
% за матч
51
357
Accurate passes
per match
388
Discipline
Lower is better
12.9
Fouls
per match
11.4
2.3
Yellow cards
per match
1.9
Defense
Lower is better
1.2
Goals conceded
per match
1.5
Personal Meetings
GWA ahead
draws
POH ahead
15.08.2026
Gwangju FC
1 : 2
Pohang Steelers
11.07.2026
Gwangju FC
0 : 3
Pohang Steelers
22.04.2026
Pohang Steelers
1 : 0
Gwangju FC
10.08.2025
Pohang Steelers
1 : 0
Gwangju FC
18.05.2025
Pohang Steelers
0 : 1
Gwangju FC
22.03.2025
Gwangju FC
2 : 3
Pohang Steelers
13.09.2024
Gwangju FC
2 : 1
Pohang Steelers
28.05.2024
Gwangju FC
0 : 1
Pohang Steelers
17.03.2024
Pohang Steelers
1 : 0
Gwangju FC
03.12.2023
Gwangju FC
0 : 0
Pohang Steelers
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.6 goals per match — more than the home team (1.2).
The away team concedes an average of 1.3 goals per match — fewer than the home team (1.4).
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.