# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
18 | 6 | 33% |
2 |
![]() Jeju United |
18 | 9 | 50% |
3 |
![]() FC Seoul |
18 | 8 | 44% |
4 |
![]() Daegu |
18 | 12 | 67% |
5 |
![]() Pohang Steelers |
18 | 9 | 50% |
6 |
![]() Ulsan |
19 | 9 | 47% |
7 |
![]() Jeonbuk Motors |
18 | 8 | 44% |
8 |
![]() Sangju Sangmu |
18 | 8 | 44% |
9 |
![]() Gwangju |
18 | 9 | 50% |
10 |
![]() Suwon |
18 | 10 | 56% |
11 |
![]() Daejeon Citizen |
18 | 10 | 56% |
12 |
![]() Anyang |
19 | 12 | 63% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
9 | 3 | 33% |
2 |
![]() Jeju United |
9 | 4 | 44% |
3 |
![]() FC Seoul |
8 | 6 | 75% |
4 |
![]() Daegu |
9 | 5 | 56% |
5 |
![]() Pohang Steelers |
9 | 3 | 33% |
6 |
![]() Ulsan |
9 | 4 | 44% |
7 |
![]() Jeonbuk Motors |
9 | 7 | 78% |
8 |
![]() Sangju Sangmu |
9 | 2 | 22% |
9 |
![]() Gwangju |
10 | 5 | 50% |
10 |
![]() Suwon |
9 | 6 | 67% |
11 |
![]() Daejeon Citizen |
9 | 4 | 44% |
12 |
![]() Anyang |
10 | 6 | 60% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
9 | 3 | 33% |
2 |
![]() Jeju United |
9 | 5 | 56% |
3 |
![]() FC Seoul |
10 | 2 | 20% |
4 |
![]() Daegu |
9 | 7 | 78% |
5 |
![]() Pohang Steelers |
9 | 6 | 67% |
6 |
![]() Ulsan |
10 | 5 | 50% |
7 |
![]() Jeonbuk Motors |
9 | 1 | 11% |
8 |
![]() Sangju Sangmu |
9 | 6 | 67% |
9 |
![]() Gwangju |
8 | 4 | 50% |
10 |
![]() Suwon |
9 | 4 | 44% |
11 |
![]() Daejeon Citizen |
9 | 6 | 67% |
12 |
![]() Anyang |
9 | 6 | 67% |
This section shows the statistics on how many times Suwon and Anyang have both scored and conceded in the same match in the K League 1.
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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