# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Paderborn |
38 | 17 | 45% |
2 |
![]() Karlsruher SC |
38 | 12 | 32% |
3 |
![]() Würzburger Kickers |
38 | 20 | 53% |
4 |
![]() Aalen |
38 | 20 | 53% |
5 |
![]() Preußen Münster |
38 | 17 | 45% |
6 |
![]() Wehen Wiesbaden |
38 | 19 | 50% |
7 |
![]() Magdeburg |
38 | 17 | 45% |
8 |
![]() Rot-Weiß Erfurt |
38 | 15 | 39% |
9 |
![]() Zwickau |
38 | 18 | 47% |
10 |
![]() Sportfreunde Lotte |
38 | 18 | 47% |
11 |
![]() Osnabrück |
38 | 19 | 50% |
12 |
![]() Werder Bremen II |
38 | 21 | 55% |
13 |
![]() Sonnenhof Großaspach |
38 | 20 | 53% |
14 |
![]() Hansa Rostock |
38 | 14 | 37% |
15 |
![]() Fortuna Köln |
38 | 19 | 50% |
16 |
![]() Chemnitzer FC |
38 | 25 | 66% |
17 |
![]() Hallescher FC |
38 | 21 | 55% |
18 |
![]() Unterhaching |
38 | 20 | 53% |
19 |
![]() Meppen |
38 | 19 | 50% |
20 |
![]() Carl Zeiss Jena |
38 | 21 | 55% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Paderborn |
19 | 7 | 37% |
2 |
![]() Karlsruher SC |
19 | 6 | 32% |
3 |
![]() Würzburger Kickers |
19 | 8 | 42% |
4 |
![]() Aalen |
19 | 11 | 58% |
5 |
![]() Preußen Münster |
19 | 8 | 42% |
6 |
![]() Wehen Wiesbaden |
19 | 11 | 58% |
7 |
![]() Magdeburg |
19 | 7 | 37% |
8 |
![]() Rot-Weiß Erfurt |
19 | 9 | 47% |
9 |
![]() Zwickau |
19 | 11 | 58% |
10 |
![]() Sportfreunde Lotte |
19 | 9 | 47% |
11 |
![]() Osnabrück |
19 | 10 | 53% |
12 |
![]() Werder Bremen II |
19 | 10 | 53% |
13 |
![]() Sonnenhof Großaspach |
19 | 11 | 58% |
14 |
![]() Hansa Rostock |
19 | 10 | 53% |
15 |
![]() Fortuna Köln |
19 | 8 | 42% |
16 |
![]() Chemnitzer FC |
19 | 12 | 63% |
17 |
![]() Hallescher FC |
19 | 5 | 26% |
18 |
![]() Unterhaching |
19 | 10 | 53% |
19 |
![]() Meppen |
19 | 11 | 58% |
20 |
![]() Carl Zeiss Jena |
19 | 12 | 63% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Paderborn |
19 | 10 | 53% |
2 |
![]() Karlsruher SC |
19 | 6 | 32% |
3 |
![]() Würzburger Kickers |
19 | 12 | 63% |
4 |
![]() Aalen |
19 | 9 | 47% |
5 |
![]() Preußen Münster |
19 | 9 | 47% |
6 |
![]() Wehen Wiesbaden |
19 | 8 | 42% |
7 |
![]() Magdeburg |
19 | 10 | 53% |
8 |
![]() Rot-Weiß Erfurt |
19 | 6 | 32% |
9 |
![]() Zwickau |
19 | 7 | 37% |
10 |
![]() Sportfreunde Lotte |
19 | 9 | 47% |
11 |
![]() Osnabrück |
19 | 9 | 47% |
12 |
![]() Werder Bremen II |
19 | 11 | 58% |
13 |
![]() Sonnenhof Großaspach |
19 | 9 | 47% |
14 |
![]() Hansa Rostock |
19 | 4 | 21% |
15 |
![]() Fortuna Köln |
19 | 11 | 58% |
16 |
![]() Chemnitzer FC |
19 | 13 | 68% |
17 |
![]() Hallescher FC |
19 | 16 | 84% |
18 |
![]() Unterhaching |
19 | 10 | 53% |
19 |
![]() Meppen |
19 | 8 | 42% |
20 |
![]() Carl Zeiss Jena |
19 | 9 | 47% |
This section shows the statistics on how many times Rot-Weiß Erfurt and Unterhaching have both scored and conceded in the same match in the 3. 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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