Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
D
D
D
W
6 of 15
9
league position
VS
10 games
Form · 5 matches
W
W
L
D
D
8 of 15
6
league position
Attack
Average per match in the sample
1.1
Goals
per match
1.9
0.0
Shots on target
per match
5.3
0.0
Corners
per match
4.6
Possession and passing
Average per match in the sample
0
Possession
% за матч
48
0
Accurate passes
per match
335
Discipline
Lower is better
0.0
Fouls
per match
13.5
0.0
Yellow cards
per match
2.5
Defense
Lower is better
1.3
Goals conceded
per match
1.8
Personal Meetings
HAP ahead
draws
MAC ahead
25.07.2026
Maccabi Netanya
3 : 1
Hapoel Katamon
04.05.2026
Maccabi Netanya
1 : 0
Hapoel Katamon
09.01.2026
Maccabi Netanya
1 : 1
Hapoel Katamon
27.09.2025
Hapoel Katamon
1 : 2
Maccabi Netanya
09.08.2025
Hapoel Katamon
4 : 0
Maccabi Netanya
08.02.2025
Maccabi Netanya
2 : 1
Hapoel Katamon
02.11.2024
Hapoel Katamon
2 : 3
Maccabi Netanya
03.08.2024
Hapoel Katamon
1 : 2
Maccabi Netanya
20.04.2024
Maccabi Netanya
1 : 0
Hapoel Katamon
16.01.2024
Maccabi Netanya
2 : 1
Hapoel Katamon
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.5 goals per match — more than the home team (1.2).
The home team concedes an average of 1.4 goals per match — fewer than the opponent (1.4).
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.