# | Team | MP | Clean Sheet | Overall |
---|
# | Team | MP | Clean Sheet | Overall |
---|---|---|---|---|
1 |
![]() Elversberg |
34 | 13 | 38% |
2 |
![]() Köln |
34 | 11 | 32% |
3 |
![]() Hannover 96 |
34 | 11 | 32% |
4 |
![]() Hamburger SV |
34 | 9 | 26% |
5 |
![]() Paderborn |
34 | 9 | 26% |
6 |
![]() Fortuna Düsseldorf |
34 | 9 | 26% |
7 |
![]() Preussen Munster |
34 | 9 | 26% |
8 |
![]() Nürnberg |
34 | 8 | 24% |
9 |
![]() Eintracht Braunschweig |
34 | 8 | 24% |
10 |
![]() Kaiserslautern |
34 | 8 | 24% |
11 |
![]() Karlsruher SC |
34 | 8 | 24% |
12 |
![]() Magdeburg |
34 | 8 | 24% |
13 |
![]() Ulm |
34 | 8 | 24% |
14 |
![]() Jahn Regensburg |
34 | 7 | 21% |
15 |
![]() Hertha BSC |
34 | 6 | 18% |
16 |
![]() Schalke 04 |
34 | 4 | 12% |
17 |
![]() Darmstadt 98 |
34 | 4 | 12% |
18 |
![]() Greuther Fürth |
34 | 4 | 12% |
# | Team | MP | Clean Sheet | Home |
---|
# | Team | MP | Clean Sheet | Home |
---|---|---|---|---|
1 |
![]() Hannover 96 |
17 | 7 | 41% |
2 |
![]() Köln |
17 | 6 | 35% |
3 |
![]() Eintracht Braunschweig |
17 | 6 | 35% |
4 |
![]() Fortuna Düsseldorf |
17 | 6 | 35% |
5 |
![]() Karlsruher SC |
17 | 6 | 35% |
6 |
![]() Jahn Regensburg |
17 | 6 | 35% |
7 |
![]() Elversberg |
17 | 6 | 35% |
8 |
![]() Hamburger SV |
17 | 5 | 29% |
9 |
![]() Paderborn |
17 | 5 | 29% |
10 |
![]() Nürnberg |
17 | 5 | 29% |
11 |
![]() Preussen Munster |
17 | 5 | 29% |
12 |
![]() Magdeburg |
17 | 5 | 29% |
13 |
![]() Darmstadt 98 |
17 | 4 | 24% |
14 |
![]() Hertha BSC |
17 | 3 | 18% |
15 |
![]() Kaiserslautern |
17 | 3 | 18% |
16 |
![]() Greuther Fürth |
17 | 3 | 18% |
17 |
![]() Ulm |
17 | 3 | 18% |
18 |
![]() Schalke 04 |
17 | 2 | 12% |
# | Team | MP | Clean Sheet | Away |
---|
# | Team | MP | Clean Sheet | Away |
---|---|---|---|---|
1 |
![]() Elversberg |
17 | 7 | 41% |
2 |
![]() Köln |
17 | 5 | 29% |
3 |
![]() Kaiserslautern |
17 | 5 | 29% |
4 |
![]() Ulm |
17 | 5 | 29% |
5 |
![]() Hamburger SV |
17 | 4 | 24% |
6 |
![]() Hannover 96 |
17 | 4 | 24% |
7 |
![]() Paderborn |
17 | 4 | 24% |
8 |
![]() Preussen Munster |
17 | 4 | 24% |
9 |
![]() Hertha BSC |
17 | 3 | 18% |
10 |
![]() Nürnberg |
17 | 3 | 18% |
11 |
![]() Fortuna Düsseldorf |
17 | 3 | 18% |
12 |
![]() Magdeburg |
17 | 3 | 18% |
13 |
![]() Schalke 04 |
17 | 2 | 12% |
14 |
![]() Eintracht Braunschweig |
17 | 2 | 12% |
15 |
![]() Karlsruher SC |
17 | 2 | 12% |
16 |
![]() Greuther Fürth |
17 | 1 | 6% |
17 |
![]() Jahn Regensburg |
17 | 1 | 6% |
18 |
![]() Darmstadt 98 |
17 | 0 | 0% |
The number of clean sheets, or matches a team has without conceding a single goal, in a competition is a strong indicator of how well their defence is playing. The more times a team can completely keep their opponents from scoring, the more likely it is the team’s actual ability rather than just random chance.
We keep track of all the clean sheet information here, and these are the stats for Darmstadt 98 vs Ulm:
If both clubs have a high rate of keeping clean sheets, then there’s a decent chance of seeing a low-scoring battle between two strong defensive clubs. But for matches between clubs with low rates of clean sheets, then it’s fair to expect a goal or two.
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