# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Žalgiris |
36 | 13 | 36% |
2 |
![]() Sūduva |
36 | 10 | 28% |
3 |
![]() Kauno Žalgiris |
36 | 22 | 61% |
4 |
![]() Trakai |
36 | 15 | 42% |
5 |
![]() Dainava |
36 | 12 | 33% |
6 |
![]() Banga |
36 | 10 | 28% |
7 |
![]() Panevėžys |
36 | 11 | 31% |
8 |
![]() Džiugas Telšiai |
36 | 15 | 42% |
9 |
![]() Hegelmann Litauen |
36 | 13 | 36% |
10 |
![]() FA Šiauliai |
36 | 17 | 47% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Žalgiris |
18 | 7 | 39% |
2 |
![]() Sūduva |
18 | 3 | 17% |
3 |
![]() Kauno Žalgiris |
18 | 11 | 61% |
4 |
![]() Trakai |
18 | 7 | 39% |
5 |
![]() Dainava |
18 | 8 | 44% |
6 |
![]() Banga |
18 | 6 | 33% |
7 |
![]() Panevėžys |
18 | 5 | 28% |
8 |
![]() Džiugas Telšiai |
18 | 9 | 50% |
9 |
![]() Hegelmann Litauen |
18 | 6 | 33% |
10 |
![]() FA Šiauliai |
18 | 7 | 39% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Žalgiris |
18 | 6 | 33% |
2 |
![]() Sūduva |
18 | 7 | 39% |
3 |
![]() Kauno Žalgiris |
18 | 11 | 61% |
4 |
![]() Trakai |
18 | 8 | 44% |
5 |
![]() Dainava |
18 | 4 | 22% |
6 |
![]() Banga |
18 | 4 | 22% |
7 |
![]() Panevėžys |
18 | 6 | 33% |
8 |
![]() Džiugas Telšiai |
18 | 6 | 33% |
9 |
![]() Hegelmann Litauen |
18 | 7 | 39% |
10 |
![]() FA Šiauliai |
18 | 10 | 56% |
This section shows the statistics on how many times Dainava and Kauno Žalgiris have both scored and conceded in the same match in the A Lyga.
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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