Rückfällig's primary photo
  • Tatort Rückfällig (Season 1, Episode 311)
  • TV-14
    TV Episode | 88 min | Crime, Drama, Mystery

Tatort

Rückfällig (Season 1, Episode 311)
TV-14
TV Episode | 88 min | Crime, Drama, Mystery

Director
Producer
Composer
Cinematographer
Editor
Casting Director
Production Designer
Status
Edit Released
Updated Jun 5, 1995

Release date
Jun 5, 1995 (Austria)
Awards

Contacts

Become a member to see contact information for Rückfällig.

Cast

+ Add Cast
20 cast members
Name Known for
László I. Kish
Kommissar Philipp von Burg Kommissar Philipp von Burg   See fewer
Ernst C. Sigrist
Wachtmeister Markus Gertsch Wachtmeister Markus Gertsch   See fewer
Andrea Gloggner
Loredana Castelli Loredana Castelli   See fewer
Karl Spoerri
Manuel Bossert Manuel Bossert   See fewer
Hans Schenker
Rolf Zehnder Rolf Zehnder   See fewer
Anne-Marie Kuster
Lydia Bossert Andermatt Lydia Bossert Andermatt   See fewer
Wolfgang M. Bauer
Jo Andermatt (as Wolfgang Maria Bauer) Jo Andermatt (as Wolfgang Maria Bauer)   See fewer
Sibylle Courvoisier
Valerie Zehnder Valerie Zehnder   See fewer
Verena Peter
Dr. Isabelle Schlegel Dr. Isabelle Schlegel   See fewer
Ulrich Bodamer
Urs Jenni Urs Jenni   See fewer
Eva-Leda Helmy
Elisabeth Jenni Elisabeth Jenni   See fewer
Markus John
Vorarbeiter Vorarbeiter   See fewer
Heinz Bühlmann
Gerichtsmediziner Gerichtsmediziner   See fewer
Katja Eveline Meier
Jacqueline Viton Jacqueline Viton   See fewer
Suzanne Thommen
Schulleiterin Schulleiterin   See fewer
Peter Bollag
Herr Abt Herr Abt   See fewer
Gaby Hess
Bianca Bianca   See fewer
Diethelm Stix
Hohes Tier Hohes Tier   See fewer
Hans-Joachim Frick
Sprengmeister Sprengmeister   See fewer
There was an issue loading this tab.
There was an issue loading this tab.
There was an issue loading this tab.
There was an issue loading this tab.
There was an issue loading this tab.
There was an issue loading this tab.
There was an issue loading this tab.
There was an issue loading this tab.

MOVIEmeter

Members only

Become a member to access additional data

Ratings Breakdown