# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
42 | 17 | 40% |
2 |
![]() Daegu |
40 | 21 | 53% |
3 |
![]() Daejeon Citizen |
40 | 22 | 55% |
4 |
![]() Busan I'Park |
41 | 17 | 41% |
5 |
![]() Gyeongnam |
40 | 23 | 58% |
6 |
![]() Anyang |
40 | 20 | 50% |
7 |
![]() Asan Mugunghwa |
40 | 18 | 45% |
8 |
![]() Seoul E-Land |
40 | 19 | 48% |
9 |
![]() Goyang Zaicro |
40 | 14 | 35% |
10 |
![]() Bucheon 1995 |
41 | 16 | 39% |
11 |
![]() Chungju |
40 | 21 | 53% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
21 | 8 | 38% |
2 |
![]() Daegu |
20 | 10 | 50% |
3 |
![]() Daejeon Citizen |
20 | 11 | 55% |
4 |
![]() Busan I'Park |
20 | 10 | 50% |
5 |
![]() Gyeongnam |
20 | 10 | 50% |
6 |
![]() Anyang |
20 | 10 | 50% |
7 |
![]() Asan Mugunghwa |
20 | 10 | 50% |
8 |
![]() Seoul E-Land |
20 | 10 | 50% |
9 |
![]() Goyang Zaicro |
20 | 5 | 25% |
10 |
![]() Bucheon 1995 |
21 | 10 | 48% |
11 |
![]() Chungju |
20 | 10 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
21 | 9 | 43% |
2 |
![]() Daegu |
20 | 11 | 55% |
3 |
![]() Daejeon Citizen |
20 | 11 | 55% |
4 |
![]() Busan I'Park |
21 | 7 | 33% |
5 |
![]() Gyeongnam |
20 | 13 | 65% |
6 |
![]() Anyang |
20 | 10 | 50% |
7 |
![]() Asan Mugunghwa |
20 | 8 | 40% |
8 |
![]() Seoul E-Land |
20 | 9 | 45% |
9 |
![]() Goyang Zaicro |
20 | 9 | 45% |
10 |
![]() Bucheon 1995 |
20 | 6 | 30% |
11 |
![]() Chungju |
20 | 11 | 55% |
This section shows the statistics on how many times Chungju and Busan I'Park have both scored and conceded in the same match in the K League 2.
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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