# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Sporting KC |
36 | 25 | 69% |
2 |
![]() Real Salt Lake |
37 | 25 | 68% |
3 |
![]() Los Angeles FC |
34 | 25 | 74% |
4 |
![]() New England Revolution |
35 | 24 | 69% |
5 |
![]() Orlando City |
35 | 24 | 69% |
6 |
![]() Vancouver Whitecaps |
35 | 23 | 66% |
7 |
![]() Toronto |
34 | 23 | 68% |
8 |
![]() Portland Timbers |
38 | 23 | 61% |
9 |
![]() New York City |
38 | 22 | 58% |
10 |
![]() Houston Dynamo |
34 | 22 | 65% |
11 |
![]() LA Galaxy |
34 | 22 | 65% |
12 |
![]() FC Dallas |
34 | 22 | 65% |
13 |
![]() SJ Earthquakes |
34 | 22 | 65% |
14 |
![]() Philadelphia Union |
37 | 21 | 57% |
15 |
![]() DC United |
34 | 21 | 62% |
16 |
![]() Nashville SC |
36 | 21 | 58% |
17 |
![]() Montreal Impact |
34 | 20 | 59% |
18 |
![]() Columbus Crew |
34 | 19 | 56% |
19 |
![]() Seattle Sounders |
35 | 19 | 54% |
20 |
![]() Colorado Rapids |
35 | 18 | 51% |
21 |
![]() Minnesota United |
35 | 18 | 51% |
22 |
![]() Atlanta United FC |
35 | 18 | 51% |
23 |
![]() FC Cincinnati |
34 | 18 | 53% |
24 |
![]() New York RB |
35 | 17 | 49% |
25 |
![]() Inter Miami |
34 | 15 | 44% |
26 |
![]() Austin |
34 | 15 | 44% |
27 |
![]() Chicago Fire |
34 | 14 | 41% |
# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Sporting KC |
19 | 14 | 74% |
2 |
![]() LA Galaxy |
17 | 13 | 76% |
3 |
![]() New England Revolution |
18 | 13 | 72% |
4 |
![]() Toronto |
17 | 13 | 76% |
5 |
![]() Portland Timbers |
20 | 13 | 65% |
6 |
![]() Los Angeles FC |
17 | 13 | 76% |
7 |
![]() Nashville SC |
18 | 13 | 72% |
8 |
![]() Columbus Crew |
17 | 12 | 71% |
9 |
![]() Real Salt Lake |
17 | 12 | 71% |
10 |
![]() FC Dallas |
17 | 11 | 65% |
11 |
![]() SJ Earthquakes |
17 | 11 | 65% |
12 |
![]() Orlando City |
17 | 11 | 65% |
13 |
![]() Inter Miami |
17 | 11 | 65% |
14 |
![]() Montreal Impact |
17 | 10 | 59% |
15 |
![]() Houston Dynamo |
17 | 10 | 59% |
16 |
![]() Colorado Rapids |
18 | 10 | 56% |
17 |
![]() Austin |
17 | 10 | 59% |
18 |
![]() Vancouver Whitecaps |
17 | 9 | 53% |
19 |
![]() FC Cincinnati |
17 | 9 | 53% |
20 |
![]() DC United |
17 | 9 | 53% |
21 |
![]() Philadelphia Union |
20 | 8 | 40% |
22 |
![]() Seattle Sounders |
18 | 8 | 44% |
23 |
![]() New York City |
18 | 7 | 39% |
24 |
![]() New York RB |
17 | 7 | 41% |
25 |
![]() Chicago Fire |
17 | 7 | 41% |
26 |
![]() Minnesota United |
17 | 7 | 41% |
27 |
![]() Atlanta United FC |
17 | 7 | 41% |
# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() New York City |
20 | 15 | 75% |
2 |
![]() Vancouver Whitecaps |
18 | 14 | 78% |
3 |
![]() Real Salt Lake |
20 | 13 | 65% |
4 |
![]() Philadelphia Union |
17 | 13 | 76% |
5 |
![]() Orlando City |
18 | 13 | 72% |
6 |
![]() Houston Dynamo |
17 | 12 | 71% |
7 |
![]() Los Angeles FC |
17 | 12 | 71% |
8 |
![]() DC United |
17 | 12 | 71% |
9 |
![]() Sporting KC |
17 | 11 | 65% |
10 |
![]() New England Revolution |
17 | 11 | 65% |
11 |
![]() FC Dallas |
17 | 11 | 65% |
12 |
![]() SJ Earthquakes |
17 | 11 | 65% |
13 |
![]() Seattle Sounders |
17 | 11 | 65% |
14 |
![]() Minnesota United |
18 | 11 | 61% |
15 |
![]() Atlanta United FC |
18 | 11 | 61% |
16 |
![]() Montreal Impact |
17 | 10 | 59% |
17 |
![]() New York RB |
18 | 10 | 56% |
18 |
![]() Toronto |
17 | 10 | 59% |
19 |
![]() Portland Timbers |
18 | 10 | 56% |
20 |
![]() LA Galaxy |
17 | 9 | 53% |
21 |
![]() FC Cincinnati |
17 | 9 | 53% |
22 |
![]() Colorado Rapids |
17 | 8 | 47% |
23 |
![]() Nashville SC |
18 | 8 | 44% |
24 |
![]() Chicago Fire |
17 | 7 | 41% |
25 |
![]() Columbus Crew |
17 | 7 | 41% |
26 |
![]() Austin |
17 | 5 | 29% |
27 |
![]() Inter Miami |
17 | 4 | 24% |
This section shows the statistics on how many times Sporting KC and Real Salt Lake have both scored and conceded in the same match in the MLS.
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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