# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Guangzhou Evergrande |
33 | 16 | 48% |
2 |
![]() Shijiazhuang Ever Bright |
33 | 16 | 48% |
3 |
![]() Shanghai SIPG |
33 | 13 | 39% |
4 |
![]() Henan Jianye |
33 | 16 | 48% |
5 |
![]() Hangzhou |
33 | 16 | 48% |
6 |
![]() Beijing Guoan |
33 | 20 | 61% |
7 |
![]() Hebei CFFC |
33 | 13 | 39% |
8 |
![]() Changchun Yatai |
33 | 18 | 55% |
9 |
![]() Shandong Luneng |
33 | 15 | 45% |
10 |
![]() Guangzhou R&F |
33 | 14 | 42% |
11 |
![]() Shanghai Shenhua |
33 | 18 | 55% |
12 |
![]() Tianjin Teda |
33 | 15 | 45% |
13 |
![]() Dalian Yifang |
33 | 20 | 61% |
14 |
![]() Shenzhen |
33 | 14 | 42% |
15 |
![]() Wuhan Zall |
33 | 18 | 55% |
16 |
![]() Meizhou Hakka |
33 | 14 | 42% |
17 |
![]() Wuhan Three Towns |
33 | 17 | 52% |
18 |
![]() Chengdu Better City FC |
33 | 15 | 45% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Guangzhou Evergrande |
17 | 10 | 59% |
2 |
![]() Shijiazhuang Ever Bright |
17 | 7 | 41% |
3 |
![]() Shanghai SIPG |
16 | 5 | 31% |
4 |
![]() Henan Jianye |
17 | 8 | 47% |
5 |
![]() Hangzhou |
16 | 5 | 31% |
6 |
![]() Beijing Guoan |
17 | 9 | 53% |
7 |
![]() Hebei CFFC |
16 | 6 | 38% |
8 |
![]() Changchun Yatai |
17 | 8 | 47% |
9 |
![]() Shandong Luneng |
16 | 5 | 31% |
10 |
![]() Guangzhou R&F |
16 | 8 | 50% |
11 |
![]() Shanghai Shenhua |
16 | 8 | 50% |
12 |
![]() Tianjin Teda |
17 | 8 | 47% |
13 |
![]() Dalian Yifang |
17 | 12 | 71% |
14 |
![]() Shenzhen |
17 | 6 | 35% |
15 |
![]() Wuhan Zall |
17 | 11 | 65% |
16 |
![]() Meizhou Hakka |
16 | 10 | 63% |
17 |
![]() Wuhan Three Towns |
16 | 9 | 56% |
18 |
![]() Chengdu Better City FC |
16 | 9 | 56% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Guangzhou Evergrande |
16 | 6 | 38% |
2 |
![]() Shijiazhuang Ever Bright |
16 | 9 | 56% |
3 |
![]() Shanghai SIPG |
17 | 8 | 47% |
4 |
![]() Henan Jianye |
16 | 8 | 50% |
5 |
![]() Hangzhou |
17 | 11 | 65% |
6 |
![]() Beijing Guoan |
16 | 11 | 69% |
7 |
![]() Hebei CFFC |
17 | 7 | 41% |
8 |
![]() Changchun Yatai |
16 | 10 | 63% |
9 |
![]() Shandong Luneng |
17 | 10 | 59% |
10 |
![]() Guangzhou R&F |
17 | 6 | 35% |
11 |
![]() Shanghai Shenhua |
17 | 10 | 59% |
12 |
![]() Tianjin Teda |
16 | 7 | 44% |
13 |
![]() Dalian Yifang |
16 | 8 | 50% |
14 |
![]() Shenzhen |
16 | 8 | 50% |
15 |
![]() Wuhan Zall |
16 | 7 | 44% |
16 |
![]() Meizhou Hakka |
17 | 4 | 24% |
17 |
![]() Wuhan Three Towns |
17 | 8 | 47% |
18 |
![]() Chengdu Better City FC |
17 | 6 | 35% |
This section shows the statistics on how many times Guangzhou R&F and Wuhan Zall have both scored and conceded in the same match in the Chinese Super League.
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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