If You Like Lars and the Real Girl(2007)
Based on real preference data from thousands of voters, here's what fans of Lars and the Real Girl also love.
117 connections found
#131xWristcutters: A Love Story
2007
#226xAway We Go
2009
#326xHalf Nelson
2006
#422xSubmarine
2011
#518xMe and You and Everyone We Know
2005
#618xThe Virgin Suicides
2000
#717xAlmost Famous
2000
#816xEverything Is Illuminated
2005
#915xThe Squid and the Whale
2005
#1013xStranger Than Fiction
2006
#1113xHigh Fidelity
2000I Heart Huckabees
2004
#1312xSafety Not Guaranteed
2012
#1412xGarden State
2004
#1512xFrances Ha
2013
#1611xBlue Valentine
2011
#1711xChildren of Men
2006
#1810xGhost World
2001
#1910xThe Graduate
1967
#209.5xThe Darjeeling Limited
2007crazy, stupid, love
#229.3xPunch-Drunk Love
2002
#238.7xRushmore
1999
#248.7xWhat's Eating Gilbert Grape
1994
#258.6xThe Curious Case of Benjamin Button
2008
#268.5xThe Royal Tenenbaums
2002
#278.2xLittle Miss Sunshine
2006
#288.1x50/50
2011
#298.1xAmerican Beauty
1999
#308.1xLost in Translation
2003
#318.0xNick and Norah's Infinite Playlist
2008
#327.9xAdventureland
2009
#337.7xThe Life Aquatic with Steve Zissou
2004
#347.5xThank You for Smoking
2006
#357.1xOne Flew Over the Cuckoo's Nest
1975
#367.0xFantastic Mr. Fox
2009
#376.9xMoonrise Kingdom
2012
#386.8xLady Bird
2017
#396.4xMagnolia
2000
#406.2xJuno
2007
#416.0xBurn After Reading
2008
#426.0xA Clockwork Orange
1972
#436.0xBeing John Malkovich
1999
#446.0xBirdman or (The Unexpected Virtue of Ignorance)
2014
#455.7x(500) Days of Summer
2009
#465.5xBig Fish
2004
#475.5xSilver Linings Playbook
2012
#485.5xThe Pianist
2003
#495.2xMidnight in Paris
2011
#505.1xThere Will Be Blood
2008
#514.7xDrive
2011
#524.7xHer
2014memento
#544.5xThe Usual Suspects
1995
#554.1xA Beautiful Mind
2002
#564.1xEternal Sunshine of the Spotless Mind
2004
#574.0xGet Out
2017
#583.7xFerris Bueller's Day Off
1986
#593.7xMemento
2001
#603.7xSlumdog Millionaire
2009
#613.6xGroundhog Day
1993
#623.6xClueless
1995
#633.6xOffice Space
1999
#643.4xMoon
2009
#653.4xAmélie
2001
#663.3xTwelve Monkeys
1996
#673.3xDead Poets Society
1989
#683.2xInto the Wild
2007
#693.2xThe Breakfast Club
1985
#703.2xThe Social Network
2010
#713.1xThe Grand Budapest Hotel
2014
#723.1xDonnie Darko
2001
#733.0xFargo
1996
#743.0xBlack Swan
2010
#753.0xBeetlejuice
1988
#763.0xSuperbad
2007El laberinto del fauno
2006
#782.8xEdward Scissorhands
1990
#792.8xThe Truman Show
1998
#802.8xThe Perks of Being a Wallflower
2012
#812.7x10 Things I Hate About You
1999
#822.7xKill Bill: Vol. 1
2003
#832.7xThe Big Lebowski
1998
#842.7xLéon: The Professional
1994
#852.7xThe Butterfly Effect
2004
#862.6xAmerican Psycho
2000
#872.6xEx Machina
2015
#882.5xNo Country for Old Men
2007
#892.5xMean Girls
2004
#902.5xSe7en
1995
#912.4xGood Will Hunting
1998
#922.4xWALL·E
2008
#932.4xWhiplash
2014
#942.4xThe Sixth Sense
1999
#952.3xGone Girl
2014
#962.3xScott Pilgrim vs. the World
2010
#972.3xThe Shining
1980
#982.3xShaun of the Dead
2004
#992.3xZombieland
2009
#1002.2xTrainspotting
1996
#1012.2xRequiem for a Dream
2000
#1022.1xThe Green Mile
1999
#1032.0xSpirited Away
2001
#1042.0xReservoir Dogs
1992
#1052.0xThe Silence of the Lambs
1991
#1061.9xAmerican History X
1998
#1071.9xThe Departed
2006
#1081.9xDjango Unchained
2012
#1091.8xThe Wolf of Wall Street
2013
#1101.8xCatch Me If You Can
2003
#1111.8xInglourious Basterds
2009
#1121.7xBack to the Future
1985
#1131.7xThe Martian
2015
#1141.7xUp
2009
#1151.7xForrest Gump
1994
#1161.6xShutter Island
2010
#1171.5xPulp Fiction
1994How 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 Lars and the Real Girl consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Lars and the Real Girl 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.