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Mystery Train

If You Like Mystery Train(1989)

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

98 connections found

98 connections
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Stranger Than Paradise#1231x

Stranger Than Paradise

1984
96 voters
Down by Law#2230x

Down by Law

1986
Thriller
105 voters
Night on Earth#3205x

Night on Earth

1991
107 voters
Ghost Dog: The Way of the Samurai#4129x

Ghost Dog: The Way of the Samurai

2000
67 voters
Dead Man#5125x

Dead Man

1996
Thriller
85 voters
Coffee and Cigarettes#683x

Coffee and Cigarettes

2004
89 voters
Wild at Heart#779x

Wild at Heart

1990
68 voters
Broken Flowers#872x

Broken Flowers

2005
87 voters
Paris, Texas#971x

Paris, Texas

1984
53 voters
Buffalo '66#1065x

Buffalo '66

1998
56 voters
Barton Fink#1153x

Barton Fink

1991
83 voters
Welcome to the Dollhouse#1249x

Welcome to the Dollhouse

1996
Action
52 voters
Raising Arizona#1345x

Raising Arizona

1987
62 voters
Gummo#1445x

Gummo

1997
52 voters
Lost Highway#1542x

Lost Highway

1997
Thriller
68 voters
Twin Peaks: Fire Walk with Me#1640x

Twin Peaks: Fire Walk with Me

1992
Thriller
55 voters
The Squid and the Whale#1739x

The Squid and the Whale

2005
52 voters
A Serious Man#1838x

A Serious Man

2009
60 voters
Eraserhead#1937x

Eraserhead

1978
68 voters
Synecdoche, New York#2037x

Synecdoche, New York

2009
Action
61 voters
Punch-Drunk Love#2135x

Punch-Drunk Love

2002
61 voters
Blue Velvet#2235x

Blue Velvet

1986
89 voters
The Graduate#2334x

The Graduate

1967
60 voters
Brazil#2433x

Brazil

1985
67 voters
Chinatown#2533x

Chinatown

1974
Thriller
62 voters
True Romance#2631x

True Romance

1993
63 voters
Rosemary's Baby#2729x

Rosemary's Baby

1968
57 voters
Magnolia#2828x

Magnolia

2000
71 voters
Ghost World#2928x

Ghost World

2001
75 voters
Boogie Nights#3028x

Boogie Nights

1997
65 voters
#3128x

mulholland dr.

Thriller
57 voters
Annie Hall#3228x

Annie Hall

1977
50 voters
Melancholia#3327x

Melancholia

2011
52 voters
Rushmore#3424x

Rushmore

1999
67 voters
Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb#3524x

Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb

1964
Action
72 voters
Eyes Wide Shut#3624x

Eyes Wide Shut

1999
70 voters
The Life Aquatic with Steve Zissou#3724x

The Life Aquatic with Steve Zissou

2004
Fantasy
72 voters
The Darjeeling Limited#3823x

The Darjeeling Limited

2007
70 voters
Rear Window#3922x

Rear Window

1954
Thriller
50 voters
Jackie Brown#4021x

Jackie Brown

1997
68 voters
Burn After Reading#4121x

Burn After Reading

2008
67 voters
Pi#4219x

Pi

1998
55 voters
Death Proof#4319x

Death Proof

2007
Thriller
50 voters
Lost in Translation#4419x

Lost in Translation

2003
99 voters
Natural Born Killers#4518x

Natural Born Killers

1994
Thriller
61 voters
Taxi Driver#4618x

Taxi Driver

1981
Action
72 voters
The Royal Tenenbaums#4718x

The Royal Tenenbaums

2002
86 voters
From Dusk Till Dawn#4818x

From Dusk Till Dawn

1996
55 voters
Being John Malkovich#4917x

Being John Malkovich

1999
92 voters
Fear and Loathing in Las Vegas#5016x

Fear and Loathing in Las Vegas

1998
79 voters
Apocalypse Now#5116x

Apocalypse Now

1979
65 voters
Fargo#5216x

Fargo

1996
Thriller
108 voters
Psycho#5315x

Psycho

1960
59 voters
There Will Be Blood#5415x

There Will Be Blood

2008
69 voters
2001: A Space Odyssey#5514x

2001: A Space Odyssey

1968
75 voters
Moonrise Kingdom#5614x

Moonrise Kingdom

2012
68 voters
Drive#5712x

Drive

2011
52 voters
Lock, Stock and Two Smoking Barrels#5812x

Lock, Stock and Two Smoking Barrels

1998
61 voters
Trainspotting#5912x

Trainspotting

1996
104 voters
Blade Runner#6012x

Blade Runner

1982
Sci-Fi
68 voters
Full Metal Jacket#6112x

Full Metal Jacket

1987
Action
75 voters
The Big Lebowski#6211x

The Big Lebowski

1998
103 voters
Monty Python and the Holy Grail#6311x

Monty Python and the Holy Grail

1975
52 voters
The Shining#6410x

The Shining

1980
95 voters
Reservoir Dogs#6510.0x

Reservoir Dogs

1992
113 voters
No Country for Old Men#6610.0x

No Country for Old Men

2007
89 voters
Big Fish#679.9x

Big Fish

2004
51 voters
Scarface#689.6x

Scarface

1983
50 voters
Little Miss Sunshine#699.5x

Little Miss Sunshine

2006
69 voters
Groundhog Day#709.1x

Groundhog Day

1993
57 voters
Snatch#718.8x

Snatch

2001
Action
69 voters
Sin City#728.7x

Sin City

2005
58 voters
#738.7x

El laberinto del fauno

2006
Fantasy
54 voters
American Psycho#748.5x

American Psycho

2000
78 voters
Dead Poets Society#758.3x

Dead Poets Society

1989
50 voters
#768.0x

Goodfellas

1990
Thriller
61 voters
Her#778.0x

Her

2014
55 voters
The Grand Budapest Hotel#787.9x

The Grand Budapest Hotel

2014
65 voters
Requiem for a Dream#797.8x

Requiem for a Dream

2000
77 voters
Alien#807.5x

Alien

1979
Sci-Fi
52 voters
Amélie#817.5x

Amélie

2001
62 voters
Edward Scissorhands#827.5x

Edward Scissorhands

1990
63 voters
Black Swan#837.3x

Black Swan

2010
52 voters
Eternal Sunshine of the Spotless Mind#846.9x

Eternal Sunshine of the Spotless Mind

2004
96 voters
The Breakfast Club#856.7x

The Breakfast Club

1985
52 voters
Donnie Darko#866.6x

Donnie Darko

2001
Thriller
84 voters
Spirited Away#876.5x

Spirited Away

2001
61 voters
Pulp Fiction#886.1x

Pulp Fiction

1994
117 voters
American History X#896.1x

American History X

1998
62 voters
Inglourious Basterds#905.7x

Inglourious Basterds

2009
Action
76 voters
Django Unchained#915.3x

Django Unchained

2012
63 voters
The Truman Show#925.1x

The Truman Show

1998
76 voters
The Silence of the Lambs#934.8x

The Silence of the Lambs

1991
Thriller
59 voters
Fight Club#944.4x

Fight Club

1999
Action
100 voters
Se7en#954.4x

Se7en

1995
Thriller
52 voters
The Matrix#963.3x

The Matrix

1999
59 voters
The Shawshank Redemption#973.3x

The Shawshank Redemption

1994
50 voters
Inception#982.4x

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

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