Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
W
W
W
D
W
D
D
L
D
L
16 of 30
2
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
2.0
Goals
per match
1.9
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
1.8
Personal Meetings
NOM ahead
draws
TAM ahead
02.08.2026
Kalju Nomme
5 : 1
Tammeka
17.06.2026
Kalju Nomme
1 : 2
Tammeka
08.03.2026
Tammeka
0 : 1
Kalju Nomme
02.11.2025
Kalju Nomme
2 : 1
Tammeka
03.08.2025
Tammeka
1 : 3
Kalju Nomme
10.05.2025
Tammeka
0 : 1
Kalju Nomme
16.03.2025
Kalju Nomme
2 : 2
Tammeka
29.09.2024
Tammeka
2 : 3
Kalju Nomme
27.07.2024
Kalju Nomme
3 : 0
Tammeka
28.06.2024
Tammeka
1 : 1
Kalju Nomme
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 2.2 goals per match — more than the opponent (1.3).
The home team concedes an average of 1.2 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.