Dirty Grandpa (2016) poster
2016 · comedy

Dirty Grandpa

Directed by Dan Mazer1h 42m2016
  • warm
  • brisk
  • gentle
  • tender

Jason Kelly is one week away from marrying his boss's uber-controlling daughter, putting him on the fast track for a partnership at the law firm. However, when the straight-laced Jason is tricked into driving his foul-mouthed grandfather, Dick, to Daytona for spring break, his pending nuptials are suddenly in jeopardy. Between riotous frat parties, bar fights, and an epic night of karaoke, Dick is on a quest to live his life to the fullest and bring Jason along for the ride.

Our read · Dirty Grandpa (2016) reads as a warm, kinetic, grounded comedy entry — gentle in intensity, mid-stakes in scope, tender in temperature, redemptive in outlook. Hand-scored on twelve axes of taste — mood, pacing, weirdness, hope, stakes, humour, reality, density, warmth, auteur, intensity, and era — with a derived palette drawn from its dominant cinematography.

Cast constellation
Where to watch

No streaming listing for Latvia right now — try the search links below.

More info & search links
Fingerprint

The shape of Dirty Grandpa

DNA · twelve axes

The reading.

Each axis is hand-scored — not derived from votes or genre averages. The marker shows where this film sits; the gradient fill uses the film's own cinematography palette.

Mood · HeavyCosy
Pacing · Slow-burnKinetic
Intensity · GentleExtreme
Weirdness · ConventionalSurreal
Hope · NihilisticRedemptive
Stakes · IntimateEpic
Humour · NoneBroad
Reality · GroundedFantastical
Density · SparseTwisty
Warmth · ColdTender
Auteur · TransparentSignature
Nearest by DNA

Eight films that read most like this one.

Geometric closeness in the twelve-axis space — pure DNA distance, not “people also liked.” Distance numbers are listed under each title for sceners who like to know the maths.

Your take
Rate it
star-clip-1-0star-clip-2-0star-clip-3-0star-clip-4-0star-clip-5-0
React
Discussion

Discussion

⌘↵ to post

What does your Movie DNA look like?

Rate a few films you've seen. We map your taste across the same twelve axes and find the films you'll actually want to watch tonight.

Calibrate yourself