
F.B.I. agent Frank LaCrosse returns home to find his home has been broken into, his son is missing and Missy the babysitter is lying in a pool of her own insides. Her murder being the hallmarks of a elusive enigmatic serial killer whose slaughter spree...stretches nearly two years. Frank's desperate pursuit leads to Amarillo, Texas, where two more victims matching the killers M.O. have been found slashed to death. As Frank searches for his suspect the local Sheriff Buck Olmstead and his Deputy Nate Booker investigate the killings in-between a heated election feud, with his competition police chief Jack McGinnis. All the while drifting former doctor Lane Dixon is picked up by ex-railroad man, Bob Goodall. As a local Mechanic, Clyde 'Shorty' Callahan becomes the latest victim. Frank hopes and prays to find this sociopath before he disappears perhaps forever into the rocky mountains
Robert PetersColorado Trooper
Stuart Proud Eagle GrantLuke (as Stuart Grant)
Michael K. OsbornDeputy
R. Lee ErmeySheriff Buck Olmstead
Leo BurmesterClyde 'Shorty' CallahanAccording to an interview with Jeb Stuart in Premiere magazine, he had originally intended to make this movie back in the early 1980's under the title 'Going West in America', with Sidney Poitier, 'Robert Duvall (I)', and Kevin Bacon in the three main roles.
Sheriff Buck Olmstead:
He told the truth, and once you tell the truth, everything else is just cheap whiskey.
Factual errors: The illuminated numbers seen on the locomotives should show the locomotive number, not the train number. (It is true that there are instances where the lead locomotive number may be used as a train number, but that can't be the case here because here because the train number was known in advance. And even if it was, the train's second locomotive would still show a different number.)
Written by Keith Gattis and Kostas
Performed by Keith Gattis
With more than a million titles, it isn't feasible to handpick recommendations for every film. That's why we came up with a formula to suggest titles that fit along with the selected one. The formula uses factors such as user votes, genre and keywords to generate an automatic response. The system produces relevant results most of the time but since recommended titles are not manually chosen, occasionally they may include less than perfect matches.