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Meatballs

If You Like Meatballs(1979)

Based on real preference data from thousands of voters, here's what fans of Meatballs also love.

63 connections found

63 connections
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Fletch#1241x

Fletch

1985
55 voters
Revenge of the Nerds#2192x

Revenge of the Nerds

1984
Action
62 voters
Stripes#3189x

Stripes

1981
72 voters
Scrooged#4132x

Scrooged

2018
Horror
61 voters
Trading Places#5123x

Trading Places

1983
69 voters
Caddyshack#6121x

Caddyshack

1980
70 voters
Weird Science#799x

Weird Science

1985
62 voters
Uncle Buck#890x

Uncle Buck

1989
52 voters
Fast Times at Ridgemont High#978x

Fast Times at Ridgemont High

1982
50 voters
Blazing Saddles#1065x

Blazing Saddles

1974
50 voters
Young Frankenstein#1159x

Young Frankenstein

1974
52 voters
Bill & Ted's Excellent Adventure#1257x

Bill & Ted's Excellent Adventure

1989
60 voters
Airplane!#1353x

Airplane!

1980
62 voters
Spaceballs#1444x

Spaceballs

1987
Sci-Fi
63 voters
Gremlins#1543x

Gremlins

1984
63 voters
Who Framed Roger Rabbit#1637x

Who Framed Roger Rabbit

1988
ThrillerAnimation
55 voters
The Goonies#1734x

The Goonies

1985
57 voters
Willy Wonka & the Chocolate Factory#1834x

Willy Wonka & the Chocolate Factory

1971
54 voters
Jaws#1934x

Jaws

1975
55 voters
Stand by Me#2031x

Stand by Me

1986
50 voters
Predator#2130x

Predator

1987
Action
58 voters
Total Recall#2229x

Total Recall

1990
55 voters
Ghostbusters#2325x

Ghostbusters

1984
Horror
69 voters
#2422x

raiders of the lost ark

Action
61 voters
Office Space#2522x

Office Space

1999
57 voters
Monty Python and the Holy Grail#2620x

Monty Python and the Holy Grail

1975
54 voters
Groundhog Day#2719x

Groundhog Day

1993
67 voters
#2819x

Terminator

1984
62 voters
Die Hard#2918x

Die Hard

1988
56 voters
Beetlejuice#3018x

Beetlejuice

1988
56 voters
Back to the Future Part II#3117x

Back to the Future Part II

1989
59 voters
The Princess Bride#3217x

The Princess Bride

1987
57 voters
Indiana Jones and the Last Crusade#3317x

Indiana Jones and the Last Crusade

1989
54 voters
Indiana Jones and the Temple of Doom#3416x

Indiana Jones and the Temple of Doom

1984
55 voters
The Fifth Element#3516x

The Fifth Element

1997
59 voters
Alien#3615x

Alien

1979
Sci-Fi
57 voters
Minority Report#3715x

Minority Report

2002
Thriller
55 voters
Fargo#3814x

Fargo

1996
Thriller
55 voters
The Breakfast Club#3914x

The Breakfast Club

1985
59 voters
Terminator 2: Judgment Day#4013x

Terminator 2: Judgment Day

1991
53 voters
The Sixth Sense#4113x

The Sixth Sense

1999
59 voters
Men in Black#4212x

Men in Black

1997
Action
55 voters
#4312x

Goodfellas

1990
Thriller
51 voters
Jurassic Park#4412x

Jurassic Park

1993
60 voters
The Big Lebowski#4511x

The Big Lebowski

1998
58 voters
The Godfather#4611x

The Godfather

1972
Thriller
54 voters
Edward Scissorhands#4711x

Edward Scissorhands

1990
52 voters
Back to the Future#4811x

Back to the Future

1985
72 voters
The Shining#4910x

The Shining

1980
54 voters
American Psycho#5010x

American Psycho

2000
52 voters
Gladiator#5110x

Gladiator

2000
Thriller
57 voters
Reservoir Dogs#529.4x

Reservoir Dogs

1992
59 voters
Good Will Hunting#538.9x

Good Will Hunting

1998
51 voters
The Truman Show#548.2x

The Truman Show

1998
68 voters
The Silence of the Lambs#558.1x

The Silence of the Lambs

1991
Thriller
56 voters
Iron Man#567.3x

Iron Man

2008
Action
50 voters
The Matrix#577.1x

The Matrix

1999
70 voters
The Shawshank Redemption#586.9x

The Shawshank Redemption

1994
59 voters
Forrest Gump#596.7x

Forrest Gump

1994
Action
59 voters
The Dark Knight#606.2x

The Dark Knight

2008
Action
55 voters
Pulp Fiction#616.0x

Pulp Fiction

1994
65 voters
Fight Club#625.3x

Fight Club

1999
Action
67 voters
Inception#634.2x

Inception

2010
53 voters

How does this work?

These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Meatballs consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Meatballs are to enjoy each recommendation compared to the average person.

Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.