# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
24 | 10 | 42% |
2 |
![]() Jeju United |
24 | 13 | 54% |
3 |
![]() FC Seoul |
24 | 12 | 50% |
4 |
![]() Daegu |
24 | 15 | 63% |
5 |
![]() Pohang Steelers |
24 | 14 | 58% |
6 |
![]() Ulsan |
23 | 12 | 52% |
7 |
![]() Jeonbuk Motors |
24 | 13 | 54% |
8 |
![]() Sangju Sangmu |
24 | 12 | 50% |
9 |
![]() Gwangju |
24 | 14 | 58% |
10 |
![]() Suwon |
23 | 15 | 65% |
11 |
![]() Daejeon Citizen |
24 | 14 | 58% |
12 |
![]() Anyang |
24 | 14 | 58% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
12 | 5 | 42% |
2 |
![]() Jeju United |
12 | 5 | 42% |
3 |
![]() FC Seoul |
11 | 8 | 73% |
4 |
![]() Daegu |
12 | 7 | 58% |
5 |
![]() Pohang Steelers |
12 | 6 | 50% |
6 |
![]() Ulsan |
11 | 6 | 55% |
7 |
![]() Jeonbuk Motors |
12 | 9 | 75% |
8 |
![]() Sangju Sangmu |
12 | 4 | 33% |
9 |
![]() Gwangju |
13 | 8 | 62% |
10 |
![]() Suwon |
12 | 9 | 75% |
11 |
![]() Daejeon Citizen |
12 | 5 | 42% |
12 |
![]() Anyang |
12 | 7 | 58% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gangwon |
12 | 5 | 42% |
2 |
![]() Jeju United |
12 | 8 | 67% |
3 |
![]() FC Seoul |
13 | 4 | 31% |
4 |
![]() Daegu |
12 | 8 | 67% |
5 |
![]() Pohang Steelers |
12 | 8 | 67% |
6 |
![]() Ulsan |
12 | 6 | 50% |
7 |
![]() Jeonbuk Motors |
12 | 4 | 33% |
8 |
![]() Sangju Sangmu |
12 | 8 | 67% |
9 |
![]() Gwangju |
11 | 6 | 55% |
10 |
![]() Suwon |
11 | 6 | 55% |
11 |
![]() Daejeon Citizen |
12 | 9 | 75% |
12 |
![]() Anyang |
12 | 7 | 58% |
This section shows the statistics on how many times Jeju United and Gwangju 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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