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Halloween

If You Like Halloween(2007)

Horror

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

64 connections found

64 connections
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Halloween II#1276x

Halloween II

1981
50 voters
The Texas Chainsaw Massacre#2245x

The Texas Chainsaw Massacre

2003
62 voters
Halloween II#3149x

Halloween II

2009
59 voters
The Strangers#4124x

The Strangers

2008
54 voters
Scream 2#5113x

Scream 2

1997
HorrorThriller
50 voters
Halloween#6110x

Halloween

1978
Horror
86 voters
A Nightmare on Elm Street#7107x

A Nightmare on Elm Street

1984
Thriller
76 voters
The Texas Chain Saw Massacre#881x

The Texas Chain Saw Massacre

1974
50 voters
Child's Play#976x

Child's Play

1988
Thriller
62 voters
I Know What You Did Last Summer#1072x

I Know What You Did Last Summer

1997
50 voters
House of Wax#1171x

House of Wax

2005
Action
50 voters
Jeepers Creepers#1270x

Jeepers Creepers

2001
71 voters
Friday the 13th#1364x

Friday the 13th

1980
61 voters
The Hills Have Eyes#1457x

The Hills Have Eyes

2006
55 voters
Scream#1555x

Scream

1996
HorrorThriller
86 voters
Final Destination#1649x

Final Destination

2000
Action
71 voters
Poltergeist#1749x

Poltergeist

1982
Horror
50 voters
Hellraiser#1844x

Hellraiser

1987
Horror
52 voters
Sinister#1941x

Sinister

2012
Thriller
50 voters
The Cabin in the Woods#2039x

The Cabin in the Woods

2012
72 voters
Carrie#2138x

Carrie

1976
56 voters
Jennifer's Body#2237x

Jennifer's Body

2009
Horror
53 voters
Insidious#2336x

Insidious

2011
58 voters
The Exorcist#2436x

The Exorcist

1973
57 voters
The Ring#2534x

The Ring

2002
60 voters
The Conjuring#2630x

The Conjuring

2013
Action
54 voters
Saw#2727x

Saw

2004
Thriller
68 voters
It#2822x

It

2017
52 voters
Get Out#2915x

Get Out

2017
58 voters
Beetlejuice#3012x

Beetlejuice

1988
54 voters
Die Hard#3112x

Die Hard

1988
50 voters
#3210x

Terminator

1984
50 voters
Alien#3310x

Alien

1979
Sci-Fi
57 voters
Zombieland#3410x

Zombieland

2009
Horror
66 voters
I Am Legend#359.7x

I Am Legend

2007
58 voters
Shaun of the Dead#369.5x

Shaun of the Dead

2004
Horror
53 voters
Terminator 2: Judgment Day#379.3x

Terminator 2: Judgment Day

1991
53 voters
Black Swan#389.3x

Black Swan

2010
53 voters
The Shining#399.0x

The Shining

1980
68 voters
Edward Scissorhands#408.9x

Edward Scissorhands

1990
60 voters
Jurassic Park#418.9x

Jurassic Park

1993
66 voters
The Sixth Sense#428.4x

The Sixth Sense

1999
55 voters
Men in Black#438.2x

Men in Black

1997
Action
53 voters
American Psycho#448.1x

American Psycho

2000
59 voters
Kill Bill: Vol. 1#457.9x

Kill Bill: Vol. 1

2003
53 voters
Deadpool#467.8x

Deadpool

2016
64 voters
The Hangover#477.8x

The Hangover

2009
51 voters
The Silence of the Lambs#487.5x

The Silence of the Lambs

1991
Thriller
74 voters
The Green Mile#497.2x

The Green Mile

1999
Thriller
51 voters
Back to the Future#506.5x

Back to the Future

1985
60 voters
The Dark Knight Rises#516.4x

The Dark Knight Rises

2012
53 voters
Django Unchained#526.2x

Django Unchained

2012
58 voters
Se7en#536.2x

Se7en

1995
Thriller
58 voters
Batman Begins#545.6x

Batman Begins

2005
ActionThriller
50 voters
Iron Man#555.4x

Iron Man

2008
Action
53 voters
Shutter Island#565.3x

Shutter Island

2010
Thriller
56 voters
Forrest Gump#575.3x

Forrest Gump

1994
Action
66 voters
The Dark Knight#585.2x

The Dark Knight

2008
Action
65 voters
The Matrix#594.9x

The Matrix

1999
69 voters
The Truman Show#604.8x

The Truman Show

1998
57 voters
Inglourious Basterds#614.7x

Inglourious Basterds

2009
Action
50 voters
Pulp Fiction#624.3x

Pulp Fiction

1994
66 voters
Fight Club#633.9x

Fight Club

1999
Action
71 voters
Inception#643.0x

Inception

2010
54 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 Halloween consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Halloween 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.