# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ventspils |
27 | 10 | 37% |
2 |
![]() Daugava Daugavpils |
27 | 8 | 30% |
3 |
![]() Jelgava |
27 | 13 | 48% |
4 |
![]() Spartaks Jūrmala |
27 | 13 | 48% |
5 |
![]() Metta - LU |
27 | 9 | 33% |
6 |
![]() Skonto |
27 | 8 | 30% |
7 |
![]() FC Jūrmala |
27 | 8 | 30% |
8 |
![]() Daugava Rīga |
27 | 7 | 26% |
9 |
![]() Ilūkstes NSS |
27 | 18 | 67% |
10 |
![]() Liepājas Metalurgs |
27 | 14 | 52% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ventspils |
14 | 5 | 36% |
2 |
![]() Daugava Daugavpils |
14 | 5 | 36% |
3 |
![]() Jelgava |
13 | 7 | 54% |
4 |
![]() Spartaks Jūrmala |
14 | 7 | 50% |
5 |
![]() Metta - LU |
13 | 3 | 23% |
6 |
![]() Skonto |
14 | 5 | 36% |
7 |
![]() FC Jūrmala |
13 | 5 | 38% |
8 |
![]() Daugava Rīga |
13 | 4 | 31% |
9 |
![]() Ilūkstes NSS |
14 | 10 | 71% |
10 |
![]() Liepājas Metalurgs |
13 | 3 | 23% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ventspils |
13 | 5 | 38% |
2 |
![]() Daugava Daugavpils |
13 | 3 | 23% |
3 |
![]() Jelgava |
14 | 6 | 43% |
4 |
![]() Spartaks Jūrmala |
13 | 6 | 46% |
5 |
![]() Metta - LU |
14 | 6 | 43% |
6 |
![]() Skonto |
13 | 3 | 23% |
7 |
![]() FC Jūrmala |
14 | 3 | 21% |
8 |
![]() Daugava Rīga |
14 | 3 | 21% |
9 |
![]() Ilūkstes NSS |
13 | 8 | 62% |
10 |
![]() Liepājas Metalurgs |
14 | 11 | 79% |
This section shows the statistics on how many times Metta - LU and Ventspils have both scored and conceded in the same match in the Virsliga.
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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