Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
D
D
L
L
L
W
W
W
D
12 of 30
5
league position
VS
10 games
Form · 10 matches
L
L
W
D
L
D
W
D
D
W
13 of 30
4
league position
Attack
Average per match in the sample
2.1
Goals
per match
1.4
5.7
Shots on target
per match
3.9
6.6
Corners
per match
4.6
Possession and passing
Average per match in the sample
51
Possession
% за матч
49
255
Accurate passes
per match
332
Discipline
Lower is better
11.7
Fouls
per match
11.7
2.1
Yellow cards
per match
2.7
Defense
Lower is better
1.3
Goals conceded
per match
1.4
Personal Meetings
DUN ahead
draws
SHE ahead
03.07.2026
Shelbourne
2 : 1
Dundalk
01.05.2026
Dundalk
1 : 2
Shelbourne
03.04.2026
Shelbourne
2 : 3
Dundalk
20.01.2026
Shelbourne
2 : 1
Dundalk
30.08.2024
Dundalk
0 : 1
Shelbourne
07.06.2024
Shelbourne
1 : 0
Dundalk
03.05.2024
Dundalk
0 : 0
Shelbourne
29.03.2024
Shelbourne
2 : 1
Dundalk
06.10.2023
Shelbourne
1 : 0
Dundalk
06.08.2023
Dundalk
1 : 1
Shelbourne
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 (1.2).
The away team concedes an average of 0.8 goals per match — fewer than the home team (1.2).
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.