Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
D
W
L
W
D
W
W
D
D
L
16 of 30
3
league position
VS
10 games
Form · 10 matches
W
L
L
W
W
W
D
L
W
W
19 of 30
5
league position
Attack
Average per match in the sample
1.7
Goals
per match
1.9
1.5
Shots on target
per match
0.0
2.5
Corners
per match
0.0
Possession and passing
Average per match in the sample
30
Possession
% за матч
0
248
Accurate passes
per match
0
Discipline
Lower is better
8.0
Fouls
per match
0.0
1.5
Yellow cards
per match
0.0
Defense
Lower is better
1.3
Goals conceded
per match
1.8
Personal Meetings
PAI ahead
draws
TAM ahead
01.05.2026
Paide
0 : 1
Tammeka
12.04.2026
Tammeka
1 : 4
Paide
29.10.2025
Paide
3 : 0
Tammeka
18.10.2025
Paide
5 : 0
Tammeka
23.08.2025
Tammeka
0 : 1
Paide
28.06.2025
Tammeka
0 : 2
Paide
05.04.2025
Paide
1 : 0
Tammeka
26.10.2024
Paide
2 : 0
Tammeka
24.08.2024
Tammeka
1 : 3
Paide
18.05.2024
Tammeka
1 : 2
Paide
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 2.1 goals per match — more than the opponent (1.3).
The home team concedes an average of 1.1 goals per match — fewer than the opponent (1.5).
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.