| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Žalgiris |
36 | 19 | 53% |
| 2 |
Sūduva |
36 | 14 | 39% |
| 3 |
Kauno Žalgiris |
36 | 17 | 47% |
| 4 |
Dainava |
36 | 11 | 31% |
| 5 |
Banga |
36 | 15 | 42% |
| 6 |
Panevėžys |
36 | 15 | 42% |
| 7 |
Džiugas Telšiai |
36 | 12 | 33% |
| 8 |
Hegelmann Litauen |
36 | 22 | 61% |
| 9 |
FA Siauliai |
36 | 20 | 56% |
| 10 |
TransINVEST Vilnius |
36 | 13 | 36% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Žalgiris |
18 | 11 | 61% |
| 2 |
Sūduva |
18 | 6 | 33% |
| 3 |
Kauno Žalgiris |
18 | 8 | 44% |
| 4 |
Dainava |
18 | 7 | 39% |
| 5 |
Banga |
18 | 8 | 44% |
| 6 |
Panevėžys |
18 | 5 | 28% |
| 7 |
Džiugas Telšiai |
18 | 6 | 33% |
| 8 |
Hegelmann Litauen |
18 | 12 | 67% |
| 9 |
FA Siauliai |
18 | 9 | 50% |
| 10 |
TransINVEST Vilnius |
18 | 7 | 39% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Žalgiris |
18 | 8 | 44% |
| 2 |
Sūduva |
18 | 8 | 44% |
| 3 |
Kauno Žalgiris |
18 | 9 | 50% |
| 4 |
Dainava |
18 | 4 | 22% |
| 5 |
Banga |
18 | 7 | 39% |
| 6 |
Panevėžys |
18 | 10 | 56% |
| 7 |
Džiugas Telšiai |
18 | 6 | 33% |
| 8 |
Hegelmann Litauen |
18 | 10 | 56% |
| 9 |
FA Siauliai |
18 | 11 | 61% |
| 10 |
TransINVEST Vilnius |
18 | 6 | 33% |
This section shows the statistics on how many times TransINVEST Vilnius and Banga 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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