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Karlsruher SC 1 - 4 Holstein Kiel

05.11.2022 - 08:00

Stadium: Wildparkstadion

Finished

Both Teams to Score

# Team MP BTTS BTTS%
1
Hamburger SV Team Logo

Hamburger SV

34 20 59%
2
Darmstadt 98 Team Logo

Darmstadt 98

34 16 47%
3
Hannover 96 Team Logo

Hannover 96

34 22 65%
4
Paderborn Team Logo

Paderborn

34 19 56%
5
Nürnberg Team Logo

Nürnberg

34 12 35%
6
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

34 22 65%
7
Kaiserslautern Team Logo

Kaiserslautern

34 18 53%
8
Arminia Bielefeld Team Logo

Arminia Bielefeld

34 24 71%
9
Greuther Fürth Team Logo

Greuther Fürth

34 24 71%
10
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

34 19 56%
11
Karlsruher SC Team Logo

Karlsruher SC

34 20 59%
12
St. Pauli Team Logo

St. Pauli

34 17 50%
13
Sandhausen Team Logo

Sandhausen

34 20 59%
14
Heidenheim Team Logo

Heidenheim

34 16 47%
15
Magdeburg Team Logo

Magdeburg

34 20 59%
16
Jahn Regensburg Team Logo

Jahn Regensburg

34 14 41%
17
Holstein Kiel Team Logo

Holstein Kiel

34 26 76%
18
Hansa Rostock Team Logo

Hansa Rostock

34 11 32%
# Team MP BTTS BTTS%
1
Hamburger SV Team Logo

Hamburger SV

17 11 65%
2
Darmstadt 98 Team Logo

Darmstadt 98

17 9 53%
3
Hannover 96 Team Logo

Hannover 96

17 11 65%
4
Paderborn Team Logo

Paderborn

17 9 53%
5
Nürnberg Team Logo

Nürnberg

17 5 29%
6
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

17 9 53%
7
Kaiserslautern Team Logo

Kaiserslautern

17 10 59%
8
Arminia Bielefeld Team Logo

Arminia Bielefeld

17 12 71%
9
Greuther Fürth Team Logo

Greuther Fürth

17 11 65%
10
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

17 11 65%
11
Karlsruher SC Team Logo

Karlsruher SC

17 10 59%
12
St. Pauli Team Logo

St. Pauli

17 8 47%
13
Sandhausen Team Logo

Sandhausen

17 9 53%
14
Heidenheim Team Logo

Heidenheim

17 8 47%
15
Magdeburg Team Logo

Magdeburg

17 9 53%
16
Jahn Regensburg Team Logo

Jahn Regensburg

17 8 47%
17
Holstein Kiel Team Logo

Holstein Kiel

17 14 82%
18
Hansa Rostock Team Logo

Hansa Rostock

17 6 35%
# Team MP BTTS BTTS%
1
Hamburger SV Team Logo

Hamburger SV

17 9 53%
2
Darmstadt 98 Team Logo

Darmstadt 98

17 7 41%
3
Hannover 96 Team Logo

Hannover 96

17 11 65%
4
Paderborn Team Logo

Paderborn

17 10 59%
5
Nürnberg Team Logo

Nürnberg

17 7 41%
6
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

17 13 76%
7
Kaiserslautern Team Logo

Kaiserslautern

17 8 47%
8
Arminia Bielefeld Team Logo

Arminia Bielefeld

17 12 71%
9
Greuther Fürth Team Logo

Greuther Fürth

17 13 76%
10
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

17 8 47%
11
Karlsruher SC Team Logo

Karlsruher SC

17 10 59%
12
St. Pauli Team Logo

St. Pauli

17 9 53%
13
Sandhausen Team Logo

Sandhausen

17 11 65%
14
Heidenheim Team Logo

Heidenheim

17 8 47%
15
Magdeburg Team Logo

Magdeburg

17 11 65%
16
Jahn Regensburg Team Logo

Jahn Regensburg

17 6 35%
17
Holstein Kiel Team Logo

Holstein Kiel

17 12 71%
18
Hansa Rostock Team Logo

Hansa Rostock

17 5 29%

This section shows the statistics on how many times Karlsruher SC and Holstein Kiel 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 59% at home, while it is 59% away from home.
  • Meanwhile, Holstein Kiel has scored and conceded in 26 of their 34 matches so far in the 2. Bundesliga, giving them a BTTS rate of 76%. Both teams have scored in 14 of Holstein Kiel’s 17 home matches, and it has happened 12 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