Profilo di Jerome Schröder
![de](https://cdn.resfu.com/media/img/flags/st3/large/de.png?size=60x&lossy=1)
Nato il 05 Marzo 1993
![Germania](https://cdn.resfu.com/media/img/flags/st3/large/de.png?size=30x&lossy=1)
![TSV Farge](https://cdn.resfu.com/img_data/escudos/medium/115562.jpg?size=60x&lossy=1)
![Landesliga](https://cdn.resfu.com/media/img/league_logos/landesliga.png?size=60x&lossy=1)
![TSV Farge](https://cdn.resfu.com/img_data/escudos/medium/115562.jpg?size=60x&lossy=1)
![Landesliga](https://cdn.resfu.com/media/img/league_logos/landesliga.png?size=60x&lossy=1)
Serie ultime partite
Progresso in classifica
![15412º](https://cdn.resfu.com/media/img/flags/st3/large/de.png?size=30x&lossy=1)
Evoluzione del valore di mercato
![12380º](https://cdn.resfu.com/media/img/flags/st3/large/de.png?size=30x&lossy=1)
Rendimento professionale
![]() |
||||
---|---|---|---|---|
Carriera | 14 |
53
▲
|
3.79
▲
|
30
▲
|
Carriera con i suoi club
Squadre | Stag | PG |
![]() |
PG | PT | PR | MIN | Età | Pti. | ELO | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() |
2017/18 | 12 | 53 | 0 | 0 | 0 | 12 | 12 | 0 | 1080' | 24 | 5.8 | 30 |
![]() |
12 | 53 | 0 | 0 | 0 | 12 | 12 | 0 | 1080' | 24 | 5.8 | 30 | |
![]() |
2015/16 | 2 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 134' | 22 | 6.5 | 25 |
Compagni di squadra
Rendimento storico nei suoi club
Per squadre | Stag. | PG | PT | Min. | ||
---|---|---|---|---|---|---|
![]() |
1 | 12 | 12 | 1080' | 53 | 0 |
![]() |
1 | 2 | 1 | 134' | 0 | 0 |
Per competizione | Stag. | PG | PT | Min. | ||
---|---|---|---|---|---|---|
![]() |
1 | 12 | 12 | 1080' | 53 | 0 |
![]() |
1 | 2 | 1 | 134' | 0 | 0 |
Squadre in cui ha giocato
I suoi traguardi più importanti
![TSV Farge](https://cdn.resfu.com/img_data/escudos/medium/115562.jpg?size=60x&lossy=1)
![Landesliga](https://cdn.resfu.com/media/img/league_logos/landesliga.png?size=60x&lossy=1)
![Blumenthaler SV](https://cdn.resfu.com/img_data/escudos/medium/17077.jpg?size=60x&lossy=1)
![Oberliga](https://cdn.resfu.com/media/img/league_logos/oberliga.png?size=60x&lossy=1)