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Karlsruher SC 1 - 0 Paderborn

28.11.2020 - 07:00

Stadium: Wildparkstadion

Finished

Both Teams to Score

# Team MP BTTS BTTS%
1
Hamburger SV Team Logo

Hamburger SV

34 23 68%
2
Darmstadt 98 Team Logo

Darmstadt 98

34 24 71%
3
Hannover 96 Team Logo

Hannover 96

34 20 59%
4
Paderborn Team Logo

Paderborn

34 19 56%
5
Nürnberg Team Logo

Nürnberg

34 24 71%
6
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

34 14 41%
7
Bochum Team Logo

Bochum

34 18 53%
8
Greuther Fürth Team Logo

Greuther Fürth

34 23 68%
9
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

34 18 53%
10
Karlsruher SC Team Logo

Karlsruher SC

34 20 59%
11
St. Pauli Team Logo

St. Pauli

34 20 59%
12
Würzburger Kickers Team Logo

Würzburger Kickers

34 24 71%
13
Sandhausen Team Logo

Sandhausen

34 17 50%
14
Erzgebirge Aue Team Logo

Erzgebirge Aue

34 16 47%
15
Heidenheim Team Logo

Heidenheim

34 17 50%
16
Osnabrück Team Logo

Osnabrück

34 19 56%
17
Jahn Regensburg Team Logo

Jahn Regensburg

34 18 53%
18
Holstein Kiel Team Logo

Holstein Kiel

34 20 59%
# Team MP BTTS BTTS%
1
Hamburger SV Team Logo

Hamburger SV

17 10 59%
2
Darmstadt 98 Team Logo

Darmstadt 98

17 10 59%
3
Hannover 96 Team Logo

Hannover 96

17 9 53%
4
Paderborn Team Logo

Paderborn

17 12 71%
5
Nürnberg Team Logo

Nürnberg

17 13 76%
6
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

17 8 47%
7
Bochum Team Logo

Bochum

17 8 47%
8
Greuther Fürth Team Logo

Greuther Fürth

17 12 71%
9
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

17 8 47%
10
Karlsruher SC Team Logo

Karlsruher SC

17 7 41%
11
St. Pauli Team Logo

St. Pauli

17 9 53%
12
Würzburger Kickers Team Logo

Würzburger Kickers

17 14 82%
13
Sandhausen Team Logo

Sandhausen

17 8 47%
14
Erzgebirge Aue Team Logo

Erzgebirge Aue

17 11 65%
15
Heidenheim Team Logo

Heidenheim

17 7 41%
16
Osnabrück Team Logo

Osnabrück

17 11 65%
17
Jahn Regensburg Team Logo

Jahn Regensburg

17 10 59%
18
Holstein Kiel Team Logo

Holstein Kiel

17 10 59%
# Team MP BTTS BTTS%
1
Hamburger SV Team Logo

Hamburger SV

17 13 76%
2
Darmstadt 98 Team Logo

Darmstadt 98

17 14 82%
3
Hannover 96 Team Logo

Hannover 96

17 11 65%
4
Paderborn Team Logo

Paderborn

17 7 41%
5
Nürnberg Team Logo

Nürnberg

17 11 65%
6
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

17 6 35%
7
Bochum Team Logo

Bochum

17 10 59%
8
Greuther Fürth Team Logo

Greuther Fürth

17 11 65%
9
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

17 10 59%
10
Karlsruher SC Team Logo

Karlsruher SC

17 13 76%
11
St. Pauli Team Logo

St. Pauli

17 11 65%
12
Würzburger Kickers Team Logo

Würzburger Kickers

17 10 59%
13
Sandhausen Team Logo

Sandhausen

17 9 53%
14
Erzgebirge Aue Team Logo

Erzgebirge Aue

17 5 29%
15
Heidenheim Team Logo

Heidenheim

17 10 59%
16
Osnabrück Team Logo

Osnabrück

17 8 47%
17
Jahn Regensburg Team Logo

Jahn Regensburg

17 8 47%
18
Holstein Kiel Team Logo

Holstein Kiel

17 10 59%

This section shows the statistics on how many times Karlsruher SC and Paderborn 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:

  • In 34 matches played in the 2. Bundesliga, Karlsruher SC has scored and conceded goals in 20 matches. In other words, 59% of its matches have seen both teams score. Their BTTS percentage is 41% at home, while it is 76% away from home.
  • Meanwhile, Paderborn has scored and conceded in 19 of their 34 matches so far in the 2. Bundesliga, giving them a BTTS rate of 56%. Both teams have scored in 12 of Paderborn’s 17 home matches, and it has happened 7 times in 17 matches as the away side.

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