Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
W
D
D
D
D
W
L
W
L
13 of 30
1
league position
VS
9 games
Form · 10 matches
W
W
W
W
W
L
D
W
W
W
25 of 30
6
league position
Attack
Average per match in the sample
1.0
Goals
per match
1.6
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
1.0
Goals conceded
per match
0.8
Personal Meetings
MIN ahead
draws
UNI ahead
13.09.2025
Uni Azzurri
2 : 1
Mindil Aces
16.08.2025
Mindil Aces
1 : 1
Uni Azzurri
07.06.2025
Uni Azzurri
2 : 0
Mindil Aces
04.04.2025
Mindil Aces
0 : 1
Uni Azzurri
09.08.2024
Mindil Aces
6 : 0
Uni Azzurri
07.06.2024
Uni Azzurri
1 : 2
Mindil Aces
13.04.2024
Mindil Aces
2 : 0
Uni Azzurri
20.09.2023
Mindil Aces
1 : 4
Uni Azzurri
24.06.2023
Uni Azzurri
0 : 2
Mindil Aces
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 3.7 goals per match — more than the opponent (2.0).
The home team concedes an average of 0.9 goals per match — fewer than the opponent (2.2).
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.