
As the legendary stuntman travels to Mexico to prepare for one of his greatest stunts yet, he takes time out of his schedule to meet his fans, help out lonely orphans, and try to get his alcoholic mechanic to reconcile with his son. While all of this is going on, Evel's main rival is plotting to have Evel killed and then get rich by using the Team Evel 18-wheeler to smuggle cocaine into America.
Lauren HuttonKate Morgan
Leslie NielsenStanley Millard
Marjoe GortnerJessie
Gene KellyWill Atkins
Cameron MitchellBartonThe more difficult stunts in the film were performed by stunt man Gary Lee Davis, though that fact was kept under wraps during the original release of the film.
Jessie:
End of the line Evel.
Evel Knieval:
What did you say?
Jessie:
End of the line, man.
Evel Knieval:
What are you talking about, your suppose to be at the other end.
Jessie:
No. I always have been before, but not anymore. Today is my turn, my shot at the glory, I'm making this jump.
Evel Knieval:
What are you talking about. Those people paid their pesos to see me jump.
Jessie:
No way, man. I'm jumping. I've always known I was better than you. Today I'm gonna prove it. Now you just get out of my way.
Evel Knieval:
Hey! You been smoking something? You're high!
Jessie:
Man, maybe you oughtta get high! Hey man, Millard wants to kill you and your buddy Will to. You know, he even thinks he's gonna kill me.
Evel Knieval:
Why? Why would he do that?
Jessie:
Millard only brought you down here for one purpose and that's to take your body back to the United States as cover for about $50,000,000 worth of cocaine.
Evel Knieval:
Look, I've got a jump to make...
[Evel gets hit in the head with his helmet and is knocked out]
Evel Knieval:
.
Superuomini, superdonne, superbotte
The In-Laws
Superman
Due superpiedi quasi piatti, I
Ivan Vasilevich menyaet professiyuWith 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.