30.05.2015 - 05:00
Stadium : Anyang Stadium
Finished
# | 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 Anyang and Daegu 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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