# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Shakhtar Donetsk |
18 | 9 | 50% |
2 |
![]() Dynamo Kyiv |
18 | 7 | 39% |
3 |
![]() Chornomorets |
18 | 11 | 61% |
4 |
![]() Mariupol |
18 | 11 | 61% |
5 |
![]() Vorskla |
18 | 9 | 50% |
6 |
![]() Zorya |
18 | 9 | 50% |
7 |
![]() Oleksandria |
18 | 8 | 44% |
8 |
![]() Inhulets |
17 | 7 | 41% |
9 |
![]() Kolos Kovalivka |
18 | 6 | 33% |
10 |
![]() Rukh Lviv |
17 | 7 | 41% |
11 |
![]() Desna |
18 | 8 | 44% |
12 |
![]() Dnipro-1 |
18 | 7 | 39% |
13 |
![]() Metalist 1925 Kharkiv |
18 | 7 | 39% |
14 |
![]() Lviv |
18 | 10 | 56% |
15 |
![]() Veres Rivne |
18 | 4 | 22% |
16 |
![]() Minai |
18 | 8 | 44% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Shakhtar Donetsk |
9 | 6 | 67% |
2 |
![]() Dynamo Kyiv |
9 | 2 | 22% |
3 |
![]() Chornomorets |
10 | 6 | 60% |
4 |
![]() Mariupol |
9 | 5 | 56% |
5 |
![]() Vorskla |
10 | 4 | 40% |
6 |
![]() Zorya |
9 | 2 | 22% |
7 |
![]() Oleksandria |
7 | 3 | 43% |
8 |
![]() Inhulets |
8 | 3 | 38% |
9 |
![]() Kolos Kovalivka |
10 | 5 | 50% |
10 |
![]() Rukh Lviv |
8 | 3 | 38% |
11 |
![]() Desna |
9 | 4 | 44% |
12 |
![]() Dnipro-1 |
9 | 4 | 44% |
13 |
![]() Metalist 1925 Kharkiv |
8 | 4 | 50% |
14 |
![]() Lviv |
10 | 6 | 60% |
15 |
![]() Veres Rivne |
9 | 2 | 22% |
16 |
![]() Minai |
9 | 5 | 56% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Shakhtar Donetsk |
9 | 3 | 33% |
2 |
![]() Dynamo Kyiv |
9 | 5 | 56% |
3 |
![]() Chornomorets |
8 | 5 | 63% |
4 |
![]() Mariupol |
9 | 6 | 67% |
5 |
![]() Vorskla |
8 | 5 | 63% |
6 |
![]() Zorya |
9 | 7 | 78% |
7 |
![]() Oleksandria |
11 | 5 | 45% |
8 |
![]() Inhulets |
9 | 4 | 44% |
9 |
![]() Kolos Kovalivka |
8 | 1 | 13% |
10 |
![]() Rukh Lviv |
9 | 4 | 44% |
11 |
![]() Desna |
9 | 4 | 44% |
12 |
![]() Dnipro-1 |
9 | 3 | 33% |
13 |
![]() Metalist 1925 Kharkiv |
10 | 3 | 30% |
14 |
![]() Lviv |
8 | 4 | 50% |
15 |
![]() Veres Rivne |
9 | 2 | 22% |
16 |
![]() Minai |
9 | 3 | 33% |
This section shows the statistics on how many times Inhulets and Dnipro-1 have both scored and conceded in the same match in the Ukrainian Premier 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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