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Greuther Fürth 3 - 1 Preußen Münster

04.08.2024 - 07:30

Stadium: Sportpark Ronhof Thomas Sommer

Finished

Both Teams to Score

# Team MP BTTS BTTS%
1
Schalke 04 Team Logo

Schalke 04

34 22 65%
2
Hamburger SV Team Logo

Hamburger SV

34 23 68%
3
Köln Team Logo

Köln

34 18 53%
4
Hertha BSC Team Logo

Hertha BSC

34 22 65%
5
Darmstadt 98 Team Logo

Darmstadt 98

34 23 68%
6
Hannover 96 Team Logo

Hannover 96

34 19 56%
7
Paderborn Team Logo

Paderborn

34 23 68%
8
Nürnberg Team Logo

Nürnberg

34 22 65%
9
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

34 20 59%
10
Kaiserslautern Team Logo

Kaiserslautern

34 20 59%
11
Greuther Fürth Team Logo

Greuther Fürth

34 20 59%
12
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

34 22 65%
13
Karlsruher SC Team Logo

Karlsruher SC

34 24 71%
14
Preußen Münster Team Logo

Preußen Münster

34 19 56%
15
Magdeburg Team Logo

Magdeburg

34 22 65%
16
Jahn Regensburg Team Logo

Jahn Regensburg

34 11 32%
17
Elversberg Team Logo

Elversberg

34 18 53%
18
Ulm Team Logo

Ulm

34 20 59%
# Team MP BTTS BTTS%
1
Schalke 04 Team Logo

Schalke 04

17 13 76%
2
Hamburger SV Team Logo

Hamburger SV

17 12 71%
3
Köln Team Logo

Köln

17 10 59%
4
Hertha BSC Team Logo

Hertha BSC

17 11 65%
5
Darmstadt 98 Team Logo

Darmstadt 98

17 9 53%
6
Hannover 96 Team Logo

Hannover 96

17 10 59%
7
Paderborn Team Logo

Paderborn

17 12 71%
8
Nürnberg Team Logo

Nürnberg

17 9 53%
9
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

17 10 59%
10
Kaiserslautern Team Logo

Kaiserslautern

17 13 76%
11
Greuther Fürth Team Logo

Greuther Fürth

17 12 71%
12
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

17 9 53%
13
Karlsruher SC Team Logo

Karlsruher SC

17 10 59%
14
Preußen Münster Team Logo

Preußen Münster

17 9 53%
15
Magdeburg Team Logo

Magdeburg

17 9 53%
16
Jahn Regensburg Team Logo

Jahn Regensburg

17 5 29%
17
Elversberg Team Logo

Elversberg

17 10 59%
18
Ulm Team Logo

Ulm

17 11 65%
# Team MP BTTS BTTS%
1
Schalke 04 Team Logo

Schalke 04

17 9 53%
2
Hamburger SV Team Logo

Hamburger SV

17 11 65%
3
Köln Team Logo

Köln

17 8 47%
4
Hertha BSC Team Logo

Hertha BSC

17 11 65%
5
Darmstadt 98 Team Logo

Darmstadt 98

17 14 82%
6
Hannover 96 Team Logo

Hannover 96

17 9 53%
7
Paderborn Team Logo

Paderborn

17 11 65%
8
Nürnberg Team Logo

Nürnberg

17 13 76%
9
Eintracht Braunschweig Team Logo

Eintracht Braunschweig

17 10 59%
10
Kaiserslautern Team Logo

Kaiserslautern

17 7 41%
11
Greuther Fürth Team Logo

Greuther Fürth

17 8 47%
12
Fortuna Düsseldorf Team Logo

Fortuna Düsseldorf

17 13 76%
13
Karlsruher SC Team Logo

Karlsruher SC

17 14 82%
14
Preußen Münster Team Logo

Preußen Münster

17 10 59%
15
Magdeburg Team Logo

Magdeburg

17 13 76%
16
Jahn Regensburg Team Logo

Jahn Regensburg

17 6 35%
17
Elversberg Team Logo

Elversberg

17 8 47%
18
Ulm Team Logo

Ulm

17 9 53%

This section shows the statistics on how many times Greuther Fürth and Preußen Münster 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, Greuther Fürth has scored and conceded goals in 20 matches. In other words, 59% of its matches have seen both teams score. Their BTTS percentage is 71% at home, while it is 47% away from home.
  • Meanwhile, Preußen Münster 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 9 of Preußen Münster’s 17 home matches, and it has happened 10 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