Profile of Marc Knackstedt
![de](https://cdn.resfu.com/media/img/flags/st3/large/de.png?size=60x&lossy=1)
Born on 03 July 1970
![Germany](https://cdn.resfu.com/media/img/flags/st3/large/de.png?size=30x&lossy=1)
![I. SC Göttingen](https://cdn.resfu.com/img_data/equipos/17134.png?size=60x&lossy=1)
![Regionalliga](https://cdn.resfu.com/media/img/league_logos/regionalliga_4.png?size=60x&lossy=1)
![Hamburg 93](https://cdn.resfu.com/img_data/escudos/medium/83305.jpg?size=60x&lossy=1)
![Regionalliga](https://cdn.resfu.com/media/img/league_logos/regionalliga_4.png?size=60x&lossy=1)
Form in last matches
Rating progression
Evolution of market value
Professional performance
Career | 106 |
0.35
▲
|
41
▲
|
List of clubs played for
Teams | Season | MP | MP | GS | MS | MIN | Age | Pts. | ELO | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() |
1997/98 | 20 | 0 | 0 | 7 | 1 | 20 | 20 | 0 | 1756' | 27 | 5.6 | 43 |
![]() |
20 | 0 | 0 | 7 | 1 | 20 | 20 | 0 | 1756' | 27 | 5.6 | 43 | |
![]() |
1996/97 | 26 | 0 | 0 | 10 | 0 | 26 | 25 | 1 | 2082' | 26 | 6.3 | 43 |
![]() |
1995/96 | 29 | 1 | 0 | 9 | 0 | 29 | 26 | 3 | 2276' | 25 | 6.5 | 41 |
![]() |
1994/95 | 31 | 0 | 0 | 7 | 3 | 31 | 27 | 4 | 2559' | 24 | 6.7 | 38 |
Teammates
Historical performance in clubs
By teams | Season. | MP | GS | Min. | ||
---|---|---|---|---|---|---|
![]() |
2 | 60 | 53 | 4835' | 1 | 19 |
![]() |
1 | 26 | 25 | 2082' | 0 | 10 |
![]() |
1 | 20 | 20 | 1756' | 0 | 8 |
By competition | Season. | MP | GS | Min. | ||
---|---|---|---|---|---|---|
![]() |
4 | 106 | 98 | 8673' | 1 | 37 |
Most important achievements
![Regionalliga](https://cdn.resfu.com/media/img/league_logos/regionalliga_4.png?size=60x&lossy=1)
![I. SC Göttingen](https://cdn.resfu.com/img_data/escudos/medium/17134.jpg?size=60x&lossy=1)
![Lüneburger SK](https://cdn.resfu.com/img_data/escudos/medium/2981.jpg?size=60x&lossy=1)
![Hamburg 93](https://cdn.resfu.com/img_data/escudos/medium/83305.jpg?size=60x&lossy=1)
![Hamburg 93](https://cdn.resfu.com/img_data/escudos/medium/83305.jpg?size=60x&lossy=1)