# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Bnei Sakhnin |
37 | 20 | 54% |
2 |
![]() Maccabi Petah Tikva |
37 | 19 | 51% |
3 |
![]() Hapoel Ashkelon |
37 | 16 | 43% |
4 |
![]() Hapoel Acre |
37 | 12 | 32% |
5 |
![]() Hapoel Petah Tikva |
36 | 26 | 72% |
6 |
![]() Ironi Ramat HaSharon |
37 | 18 | 49% |
7 |
![]() Hapoel Ramat Gan |
37 | 15 | 41% |
8 |
![]() Hapoel Rishon LeZion |
37 | 17 | 46% |
9 |
![]() Maccabi Ahi Nazareth |
37 | 20 | 54% |
10 |
![]() Hapoel Nazareth Illit |
37 | 21 | 57% |
11 |
![]() Beitar Tel Aviv Ramla |
37 | 21 | 57% |
12 |
![]() Hapoel Afula |
38 | 20 | 53% |
13 |
![]() Hapoel Bnei Lod |
36 | 20 | 56% |
14 |
![]() Hapoel Katamon |
37 | 14 | 38% |
15 |
![]() Hapoel Umm al-Fahm |
36 | 18 | 50% |
16 |
![]() Kafr Qasim |
37 | 19 | 51% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Bnei Sakhnin |
19 | 10 | 53% |
2 |
![]() Maccabi Petah Tikva |
19 | 10 | 53% |
3 |
![]() Hapoel Ashkelon |
18 | 8 | 44% |
4 |
![]() Hapoel Acre |
19 | 8 | 42% |
5 |
![]() Hapoel Petah Tikva |
19 | 10 | 53% |
6 |
![]() Ironi Ramat HaSharon |
18 | 10 | 56% |
7 |
![]() Hapoel Ramat Gan |
18 | 7 | 39% |
8 |
![]() Hapoel Rishon LeZion |
19 | 11 | 58% |
9 |
![]() Maccabi Ahi Nazareth |
18 | 9 | 50% |
10 |
![]() Hapoel Nazareth Illit |
19 | 12 | 63% |
11 |
![]() Beitar Tel Aviv Ramla |
18 | 12 | 67% |
12 |
![]() Hapoel Afula |
19 | 10 | 53% |
13 |
![]() Hapoel Bnei Lod |
17 | 9 | 53% |
14 |
![]() Hapoel Katamon |
19 | 8 | 42% |
15 |
![]() Hapoel Umm al-Fahm |
18 | 8 | 44% |
16 |
![]() Kafr Qasim |
18 | 6 | 33% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Bnei Sakhnin |
18 | 10 | 56% |
2 |
![]() Maccabi Petah Tikva |
18 | 9 | 50% |
3 |
![]() Hapoel Ashkelon |
19 | 8 | 42% |
4 |
![]() Hapoel Acre |
18 | 4 | 22% |
5 |
![]() Hapoel Petah Tikva |
17 | 16 | 94% |
6 |
![]() Ironi Ramat HaSharon |
19 | 8 | 42% |
7 |
![]() Hapoel Ramat Gan |
19 | 8 | 42% |
8 |
![]() Hapoel Rishon LeZion |
18 | 6 | 33% |
9 |
![]() Maccabi Ahi Nazareth |
19 | 11 | 58% |
10 |
![]() Hapoel Nazareth Illit |
18 | 9 | 50% |
11 |
![]() Beitar Tel Aviv Ramla |
19 | 9 | 47% |
12 |
![]() Hapoel Afula |
19 | 10 | 53% |
13 |
![]() Hapoel Bnei Lod |
19 | 11 | 58% |
14 |
![]() Hapoel Katamon |
18 | 6 | 33% |
15 |
![]() Hapoel Umm al-Fahm |
18 | 10 | 56% |
16 |
![]() Kafr Qasim |
19 | 13 | 68% |
This section shows the statistics on how many times Hapoel Afula and Hapoel Umm al-Fahm 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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