# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Hapoel Ra'anana |
37 | 16 | 43% |
2 |
![]() Hapoel Acre |
37 | 14 | 38% |
3 |
![]() Hapoel Petah Tikva |
37 | 11 | 30% |
4 |
![]() Ironi Ramat HaSharon |
37 | 10 | 27% |
5 |
![]() Hapoel Ramat Gan |
37 | 16 | 43% |
6 |
![]() Hapoel Rishon LeZion |
37 | 19 | 51% |
7 |
![]() Maccabi Ahi Nazareth |
37 | 14 | 38% |
8 |
![]() Hapoel Nazareth Illit |
37 | 16 | 43% |
9 |
![]() Beitar Tel Aviv Ramla |
37 | 23 | 62% |
10 |
![]() Hapoel Afula |
37 | 16 | 43% |
11 |
![]() Hapoel Katamon |
37 | 11 | 30% |
12 |
![]() Hapoel Iksal |
37 | 20 | 54% |
13 |
![]() Sektzia Nes Tziona |
37 | 13 | 35% |
14 |
![]() Hapoel Umm al-Fahm |
37 | 15 | 41% |
15 |
![]() Kafr Qasim |
37 | 15 | 41% |
16 |
![]() Hapoel Kfar Shalem |
37 | 19 | 51% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Hapoel Ra'anana |
19 | 8 | 42% |
2 |
![]() Hapoel Acre |
18 | 7 | 39% |
3 |
![]() Hapoel Petah Tikva |
18 | 6 | 33% |
4 |
![]() Ironi Ramat HaSharon |
18 | 5 | 28% |
5 |
![]() Hapoel Ramat Gan |
18 | 6 | 33% |
6 |
![]() Hapoel Rishon LeZion |
18 | 9 | 50% |
7 |
![]() Maccabi Ahi Nazareth |
19 | 6 | 32% |
8 |
![]() Hapoel Nazareth Illit |
19 | 9 | 47% |
9 |
![]() Beitar Tel Aviv Ramla |
19 | 11 | 58% |
10 |
![]() Hapoel Afula |
19 | 5 | 26% |
11 |
![]() Hapoel Katamon |
19 | 6 | 32% |
12 |
![]() Hapoel Iksal |
18 | 11 | 61% |
13 |
![]() Sektzia Nes Tziona |
19 | 7 | 37% |
14 |
![]() Hapoel Umm al-Fahm |
18 | 8 | 44% |
15 |
![]() Kafr Qasim |
19 | 9 | 47% |
16 |
![]() Hapoel Kfar Shalem |
18 | 11 | 61% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Hapoel Ra'anana |
18 | 8 | 44% |
2 |
![]() Hapoel Acre |
19 | 7 | 37% |
3 |
![]() Hapoel Petah Tikva |
19 | 5 | 26% |
4 |
![]() Ironi Ramat HaSharon |
19 | 5 | 26% |
5 |
![]() Hapoel Ramat Gan |
19 | 10 | 53% |
6 |
![]() Hapoel Rishon LeZion |
19 | 10 | 53% |
7 |
![]() Maccabi Ahi Nazareth |
18 | 8 | 44% |
8 |
![]() Hapoel Nazareth Illit |
18 | 7 | 39% |
9 |
![]() Beitar Tel Aviv Ramla |
18 | 12 | 67% |
10 |
![]() Hapoel Afula |
18 | 11 | 61% |
11 |
![]() Hapoel Katamon |
18 | 5 | 28% |
12 |
![]() Hapoel Iksal |
19 | 9 | 47% |
13 |
![]() Sektzia Nes Tziona |
18 | 6 | 33% |
14 |
![]() Hapoel Umm al-Fahm |
19 | 7 | 37% |
15 |
![]() Kafr Qasim |
18 | 6 | 33% |
16 |
![]() Hapoel Kfar Shalem |
19 | 8 | 42% |
This section shows the statistics on how many times Hapoel Umm al-Fahm and Kafr Qasim have both scored and conceded in the same match in the Liga Leumit.
The “Both Teams to Score” stat is a good data point to use for seeing whether or not a match will feature many (or any) goals. If both teams have a high rate of both scoring and conceding goals, then there is a good chance that a couple of goals will go in. But if one or both teams have low BTTS rates, then their match could be a lower-scoring affair.
Check out the BTTS (both teams to score) stats for the match:
It’s important to consider BTTS statistics when analysing teams as they provide insight into the teams’ overall approach and performance in matches. Teams with a high percentage of both teams scoring usually have more attacking approaches, whilst a lower rate of both teams scoring could point to a slightly more conservative gameplan for the most part.
And of course, this information should prove quite valuable when picking bets on the “Both Teams to Score” market and other goal-related markets
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