# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Darmstadt 98 |
34 | 24 | 71% |
2 |
![]() Nürnberg |
34 | 24 | 71% |
3 |
![]() Würzburger Kickers |
34 | 24 | 71% |
4 |
![]() Hamburger SV |
34 | 23 | 68% |
5 |
![]() Greuther Fürth |
34 | 23 | 68% |
6 |
![]() Hannover 96 |
34 | 20 | 59% |
7 |
![]() Karlsruher SC |
34 | 20 | 59% |
8 |
![]() St. Pauli |
34 | 20 | 59% |
9 |
![]() Holstein Kiel |
34 | 20 | 59% |
10 |
![]() Paderborn |
34 | 19 | 56% |
11 |
![]() Osnabrück |
34 | 19 | 56% |
12 |
![]() Bochum |
34 | 18 | 53% |
13 |
![]() Fortuna Düsseldorf |
34 | 18 | 53% |
14 |
![]() Jahn Regensburg |
34 | 18 | 53% |
15 |
![]() Sandhausen |
34 | 17 | 50% |
16 |
![]() Heidenheim |
34 | 17 | 50% |
17 |
![]() Erzgebirge Aue |
34 | 16 | 47% |
18 |
![]() Eintracht Braunschweig |
34 | 14 | 41% |
# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Würzburger Kickers |
17 | 14 | 82% |
2 |
![]() Nürnberg |
17 | 13 | 76% |
3 |
![]() Paderborn |
17 | 12 | 71% |
4 |
![]() Greuther Fürth |
17 | 12 | 71% |
5 |
![]() Erzgebirge Aue |
17 | 11 | 65% |
6 |
![]() Osnabrück |
17 | 11 | 65% |
7 |
![]() Hamburger SV |
17 | 10 | 59% |
8 |
![]() Darmstadt 98 |
17 | 10 | 59% |
9 |
![]() Jahn Regensburg |
17 | 10 | 59% |
10 |
![]() Holstein Kiel |
17 | 10 | 59% |
11 |
![]() Hannover 96 |
17 | 9 | 53% |
12 |
![]() St. Pauli |
17 | 9 | 53% |
13 |
![]() Eintracht Braunschweig |
17 | 8 | 47% |
14 |
![]() Bochum |
17 | 8 | 47% |
15 |
![]() Fortuna Düsseldorf |
17 | 8 | 47% |
16 |
![]() Sandhausen |
17 | 8 | 47% |
17 |
![]() Karlsruher SC |
17 | 7 | 41% |
18 |
![]() Heidenheim |
17 | 7 | 41% |
# | Team | MP | BTTS | BTTS% |
---|
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Darmstadt 98 |
17 | 14 | 82% |
2 |
![]() Hamburger SV |
17 | 13 | 76% |
3 |
![]() Karlsruher SC |
17 | 13 | 76% |
4 |
![]() Hannover 96 |
17 | 11 | 65% |
5 |
![]() Nürnberg |
17 | 11 | 65% |
6 |
![]() Greuther Fürth |
17 | 11 | 65% |
7 |
![]() St. Pauli |
17 | 11 | 65% |
8 |
![]() Bochum |
17 | 10 | 59% |
9 |
![]() Fortuna Düsseldorf |
17 | 10 | 59% |
10 |
![]() Würzburger Kickers |
17 | 10 | 59% |
11 |
![]() Heidenheim |
17 | 10 | 59% |
12 |
![]() Holstein Kiel |
17 | 10 | 59% |
13 |
![]() Sandhausen |
17 | 9 | 53% |
14 |
![]() Osnabrück |
17 | 8 | 47% |
15 |
![]() Jahn Regensburg |
17 | 8 | 47% |
16 |
![]() Paderborn |
17 | 7 | 41% |
17 |
![]() Eintracht Braunschweig |
17 | 6 | 35% |
18 |
![]() Erzgebirge Aue |
17 | 5 | 29% |
This section shows the statistics on how many times Hamburger SV and Karlsruher SC have both scored and conceded in the same match in the 2. Bundesliga.
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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