If You Like Nymphomaniac: Volume I(2013)
MoviesBased on real preference data from thousands of voters, here's what fans of Nymphomaniac: Volume I also love. Use these connections to discover your next favorite.
194 connections found
Nymphomaniac: Vol. II
2014
#265xLove
2015
#348xAntichrist
2009
#447xClimax
2018
#534xMelancholia
2011Blue Is the Warmest Colour
2013
#732xSuspiria
2018
#830xDancer in the Dark
2000
#930xDogtooth
2009
#1030xDogville
2004La piel que habito
2011
#1227xIrreversible
2002
#1326xEnter the Void
2010
#1425xOnly Lovers Left Alive
2013Mulholland Dr.
2001
#1625xSuspiria
1977
#1725xUnder the Skin
2014
#1824xThe Killing of a Sacred Deer
2017Mother!
2017mulholland drive
#2121xThe Witch
2016
#2221xThe Lighthouse
2019
#2321xGummo
1997
#2419xThe Lobster
2015
#2519xNocturnal Animals
2016
#2618xThe Hunt
2013
#2718xWe Need to Talk About Kevin
2011
#2816xLost Highway
1997
#2916xOldboy
2003
#3015xKids
1995
#3115xCloser
2004
#3215xMidsommar
2019
#3315xEraserhead
1978
#3414xBlue Velvet
1986
#3514xRosemary's Baby
1968
#3613xIt Follows
2015
#3713xThe Virgin Suicides
2000
#3813xEyes Wide Shut
1999
#3913xOnce Upon a Time... in Hollywood
2019
#4013xBirdman or (The Unexpected Virtue of Ignorance)
2014
#4112xHereditary
2018
#4212xParasite
2019
#4312xRoom
2016
#4411xTaxi Driver
1976
#4511xPerfume: The Story of a Murderer
2007
#4611xLady Bird
2017
#4711xThe Girl with the Dragon Tattoo
2011
#4811xA Clockwork Orange
1972
#4910xHard Candy
2006
#5010xKill Bill: Vol. 2
2004
#5110xMagnolia
2000
#5210xThe Cabin in the Woods
2012
#539.7xAnnihilation
2018
#549.6xBoyhood
2014
#559.1xDrive
2011
#569.1xMr. Nobody
2013
#579.1xGhost World
2001
#588.9xBlack Swan
2010
#598.6xHeathers
1989
#608.6xHer
2014
#618.5xPi
1998
#628.4xPsycho
1960
#638.4xThe Pianist
2003
#648.2xJoker
2019
#658.1xAmerican Beauty
1999
#667.9xLost in Translation
2003
#677.8xNatural Born Killers
1994
#687.8xMidnight in Paris
2011
#697.7xOne Flew Over the Cuckoo's Nest
1975
#707.5xZodiac
2007
#717.3xTwelve Monkeys
1996
#727.3xThe Hateful Eight
2015
#737.1xNightcrawler
2014
#747.1xGet Out
2017
#757.0xLéon: The Professional
1994
#766.8xFear and Loathing in Las Vegas
1998
#776.7xSilver Linings Playbook
2012
#786.7xMoonrise Kingdom
2012
#796.6xPrisoners
2013
#806.6xRequiem for a Dream
2000
#816.6xThere Will Be Blood
2008
#826.5xFantastic Mr. Fox
2009El laberinto del fauno
2006
#846.4xThe Machinist
2004
#856.4xBeing John Malkovich
1999
#866.4xThe Royal Tenenbaums
2002
#876.4x2001: A Space Odyssey
1968
#886.4xThe Shining
1980
#896.4xKill Bill: Vol. 1
2003
#906.3xTrainspotting
1996
#916.2xMemento
2001
#926.2xAmerican Psycho
2000
#936.0xApocalypse Now
1979
#946.0xDead Poets Society
1989
#956.0xAmélie
2001
#965.9xScarface
1983
#975.8xBig Fish
2004
#985.7xGone Girl
2014
#995.7xBeetlejuice
1988
#1005.6xFargo
1996
#1015.4xThe Grand Budapest Hotel
2014
#1025.4xInto the Wild
2007
#1035.4xCorpse Bride
2005
#1045.3xMoon
2009
#1055.2xEx Machina
2015
#1065.2xBlade Runner
1982
#1075.2xPrincess Mononoke
1997
#1085.2xThe Silence of the Lambs
1991
#1095.2xFull Metal Jacket
1987
#1105.1xSe7en
1995
#1115.1xSchindler's List
1994
#1125.1xSlumdog Millionaire
2009
#1135.1xNo Country for Old Men
2007
#1145.1xLittle Miss Sunshine
2006
#1155.1xCoraline
2009
#1164.9xThe Butterfly Effect
2004
#1174.9xMy Neighbor Totoro
1990
#1184.9xWhiplash
2014
#1194.8xThe Big Lebowski
1998
#1204.8xEternal Sunshine of the Spotless Mind
2004
#1214.8xArrival
2016
#1224.7xDonnie Darko
2001
#1234.7xEdward Scissorhands
1990
#1244.7xThe Social Network
2010
#1254.7xSin City
2005
#1264.6xAlien
1979
#1274.6xAmerican History X
1998
#1284.5xThe Sixth Sense
1999
#1294.4x10 Things I Hate About You
1999
#1304.4xMad Max: Fury Road
2015
#1314.4xThe Wolf of Wall Street
2013
#1324.4xSpirited Away
2001
#1334.4xMean Girls
2004
#1344.4xThe Godfather
1972
#1354.4x(500) Days of Summer
2009Goodfellas
1990
#1374.3xWALL·E
2008
#1384.2xHowl's Moving Castle
2005Terminator
1984
#1404.1xThe Fifth Element
1997
#1414.1xHot Fuzz
2007
#1424.1xJuno
2007
#1434.1xGroundhog Day
1993
#1444.1xCast Away
2000
#1454.0xGood Will Hunting
1998Star Wars: Episode V - The Empire Strikes Back
1980
#1473.9xDjango Unchained
2012
#1483.9xPulp Fiction
1994
#1493.9xThe Perks of Being a Wallflower
2012
#1503.9xV for Vendetta
2006
#1513.9xReservoir Dogs
1992
#1523.9xDistrict 9
2009
#1533.9xThe Breakfast Club
1985
#1543.8xSnatch
2001
#1553.8xThe Nightmare Before Christmas
1993
#1563.8xSaving Private Ryan
1998
#1573.8xInglourious Basterds
2009
#1583.8xThe Green Mile
1999
#1593.7xFight Club
1999
#1603.7xShaun of the Dead
2004
#1613.7xShutter Island
2010
#1623.6xThe Truman Show
1998
#1633.6xThe Imitation Game
2014
#1643.6xScott Pilgrim vs. the World
2010
#1653.5xZombieland
2009star wars: episode iv - a new hope
#1673.4xThe Shawshank Redemption
1994
#1683.4xThe Prestige
2006
#1693.4xThe Departed
2006
#1703.3xDeadpool
2016
#1713.2xI Am Legend
2007
#1723.2xMen in Black
1997
#1733.2xThe Dark Knight Rises
2012
#1743.1xForrest Gump
1994
#1753.1xUp
2009
#1763.0xCatch Me If You Can
2003
#1773.0xThe Martian
2015
#1782.9xJurassic Park
1993
#1792.8xShrek
2001
#1802.8xInterstellar
2014
#1812.7xThe Matrix
1999
#1822.7xThe Dark Knight
2008
#1832.7xBatman Begins
2005
#1842.6xBack to the Future
1985
#1852.6xMonsters, Inc.
2001
#1862.6xThe Lord of the Rings: The Fellowship of the Ring
2001
#1872.5xThe Lord of the Rings: The Two Towers
2002
#1882.5xThe Lord of the Rings: The Return of the King
2003
#1892.4xGladiator
2000
#1902.4xInception
2010
#1912.3xGuardians of the Galaxy
2014
#1922.1xIron Man
2008Harry Potter and the Sorcerer's Stone
2001
#1942.0xPirates of the Caribbean: The Curse of the Black Pearl
2003How 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 Nymphomaniac: Volume I consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Nymphomaniac: Volume I 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.