Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 2 matches
W
W
6 of 6
1
league position
VS
10 games
Form · 2 matches
L
L
0 of 6
9
league position
Attack
Average per match in the sample
1.5
Goals
per match
1.2
0.0
Shots on target
per match
2.5
0.0
Corners
per match
2.0
Possession and passing
Average per match in the sample
0
Possession
% за матч
56
0
Accurate passes
per match
0
Discipline
Lower is better
0.0
Fouls
per match
10.5
1.7
Yellow cards
per match
1.5
Defense
Lower is better
1.0
Goals conceded
per match
1.4
Personal Meetings
PAR ahead
draws
QUE ahead
01.05.2026
Partick
1 : 1
Queen's Park
27.12.2025
Queen's Park
2 : 2
Partick
01.11.2025
Partick
5 : 0
Queen's Park
30.09.2025
Queen's Park
0 : 1
Partick
11.03.2025
Queen's Park
0 : 2
Partick
28.12.2024
Partick
2 : 1
Queen's Park
26.10.2024
Queen's Park
0 : 1
Partick
31.08.2024
Partick
3 : 0
Queen's Park
09.03.2024
Queen's Park
2 : 2
Partick
02.01.2024
Partick
3 : 2
Queen's Park
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.5 goals per match — more than the opponent (0.5).
The home team concedes an average of 0.0 goals per match — fewer than the opponent (2.0).
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.