| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Gangwon |
40 | 24 | 60% |
| 2 |
Daegu |
41 | 26 | 63% |
| 3 |
Sangju Sangmu |
40 | 24 | 60% |
| 4 |
Suwon |
42 | 28 | 67% |
| 5 |
Gyeongnam |
40 | 15 | 38% |
| 6 |
Anyang |
40 | 25 | 63% |
| 7 |
Asan Mugunghwa |
40 | 15 | 38% |
| 8 |
Seoul E-Land |
41 | 26 | 63% |
| 9 |
Goyang Zaicro |
40 | 22 | 55% |
| 10 |
Bucheon 1995 |
40 | 18 | 45% |
| 11 |
Chungju |
40 | 23 | 58% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Gangwon |
20 | 13 | 65% |
| 2 |
Daegu |
21 | 14 | 67% |
| 3 |
Sangju Sangmu |
20 | 11 | 55% |
| 4 |
Suwon |
21 | 15 | 71% |
| 5 |
Gyeongnam |
20 | 7 | 35% |
| 6 |
Anyang |
20 | 11 | 55% |
| 7 |
Asan Mugunghwa |
20 | 7 | 35% |
| 8 |
Seoul E-Land |
20 | 10 | 50% |
| 9 |
Goyang Zaicro |
20 | 12 | 60% |
| 10 |
Bucheon 1995 |
20 | 10 | 50% |
| 11 |
Chungju |
20 | 13 | 65% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Gangwon |
20 | 11 | 55% |
| 2 |
Daegu |
20 | 12 | 60% |
| 3 |
Sangju Sangmu |
20 | 13 | 65% |
| 4 |
Suwon |
21 | 13 | 62% |
| 5 |
Gyeongnam |
20 | 8 | 40% |
| 6 |
Anyang |
20 | 14 | 70% |
| 7 |
Asan Mugunghwa |
20 | 8 | 40% |
| 8 |
Seoul E-Land |
21 | 16 | 76% |
| 9 |
Goyang Zaicro |
20 | 10 | 50% |
| 10 |
Bucheon 1995 |
20 | 8 | 40% |
| 11 |
Chungju |
20 | 10 | 50% |
This section shows the statistics on how many times Suwon and Seoul E-Land 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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