# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Stomil Olsztyn |
34 | 20 | 59% |
2 |
![]() Sandecja Nowy Sącz |
34 | 19 | 56% |
3 |
![]() Chrobry Głogów |
34 | 19 | 56% |
4 |
![]() Chojniczanka Chojnice |
34 | 18 | 53% |
5 |
![]() Tychy 71 |
34 | 18 | 53% |
6 |
![]() Dolcan Ząbki |
34 | 18 | 53% |
7 |
![]() Widzew Łódź |
34 | 18 | 53% |
8 |
![]() Wigry Suwałki |
34 | 17 | 50% |
9 |
![]() GKS Katowice |
34 | 17 | 50% |
10 |
![]() Nieciecza |
34 | 17 | 50% |
11 |
![]() Olimpia Grudziądz |
34 | 16 | 47% |
12 |
![]() Pogoń Siedlce |
34 | 16 | 47% |
13 |
![]() Bytovia Bytów |
34 | 16 | 47% |
14 |
![]() Wisła Płock |
34 | 16 | 47% |
15 |
![]() Arka Gdynia |
34 | 14 | 41% |
16 |
![]() Miedź Legnica |
34 | 13 | 38% |
17 |
![]() Zagłębie Lubin |
34 | 12 | 35% |
18 |
![]() Flota Świnoujście |
34 | 10 | 29% |
# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Bytovia Bytów |
17 | 11 | 65% |
2 |
![]() Olimpia Grudziądz |
17 | 10 | 59% |
3 |
![]() Pogoń Siedlce |
17 | 10 | 59% |
4 |
![]() Stomil Olsztyn |
17 | 10 | 59% |
5 |
![]() Wisła Płock |
17 | 10 | 59% |
6 |
![]() Tychy 71 |
17 | 9 | 53% |
7 |
![]() GKS Katowice |
17 | 9 | 53% |
8 |
![]() Dolcan Ząbki |
17 | 9 | 53% |
9 |
![]() Chojniczanka Chojnice |
17 | 8 | 47% |
10 |
![]() Sandecja Nowy Sącz |
17 | 8 | 47% |
11 |
![]() Wigry Suwałki |
17 | 8 | 47% |
12 |
![]() Chrobry Głogów |
17 | 8 | 47% |
13 |
![]() Miedź Legnica |
17 | 7 | 41% |
14 |
![]() Nieciecza |
17 | 7 | 41% |
15 |
![]() Arka Gdynia |
17 | 7 | 41% |
16 |
![]() Widzew Łódź |
17 | 7 | 41% |
17 |
![]() Zagłębie Lubin |
17 | 5 | 29% |
18 |
![]() Flota Świnoujście |
17 | 4 | 24% |
# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Sandecja Nowy Sącz |
17 | 11 | 65% |
2 |
![]() Chrobry Głogów |
17 | 11 | 65% |
3 |
![]() Widzew Łódź |
17 | 11 | 65% |
4 |
![]() Chojniczanka Chojnice |
17 | 10 | 59% |
5 |
![]() Stomil Olsztyn |
17 | 10 | 59% |
6 |
![]() Nieciecza |
17 | 10 | 59% |
7 |
![]() Tychy 71 |
17 | 9 | 53% |
8 |
![]() Wigry Suwałki |
17 | 9 | 53% |
9 |
![]() Dolcan Ząbki |
17 | 9 | 53% |
10 |
![]() GKS Katowice |
17 | 8 | 47% |
11 |
![]() Arka Gdynia |
17 | 7 | 41% |
12 |
![]() Zagłębie Lubin |
17 | 7 | 41% |
13 |
![]() Olimpia Grudziądz |
17 | 6 | 35% |
14 |
![]() Pogoń Siedlce |
17 | 6 | 35% |
15 |
![]() Miedź Legnica |
17 | 6 | 35% |
16 |
![]() Flota Świnoujście |
17 | 6 | 35% |
17 |
![]() Wisła Płock |
17 | 6 | 35% |
18 |
![]() Bytovia Bytów |
17 | 5 | 29% |
This section shows the statistics on how many times Widzew Łódź and Wisła Płock have both scored and conceded in the same match in the 1. Liga.
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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