If You Like Kill List(2011)
Based on real preference data from thousands of voters, here's what fans of Kill List also love.
112 connections found
#1161xThe House of the Devil
2009
#2111xBone Tomahawk
2016
#390xBlue Ruin
2014
#478xCreep
2015
#567xThe Invitation
2015
#662xSuspiria
1977
#759xFunny Games
1997
#857xUnder the Skin
2014
#955xAntichrist
2009
#1052xVideodrome
1983
#1147xThe Killing of a Sacred Deer
2017
#1246xLet the Right One In
2008
#1344xIt Follows
2015
#1443xThe Descent
2006
#1539xThey Live
1988
#1638xRosemary's Baby
1968
#1737xThe Babadook
2014
#1835xThe Fly
1986
#1935xA History of Violence
2005
#2034xMisery
1990
#2133xCoherence
2014
#2233xEraserhead
1978
#2330xBlue Velvet
1986
#2430xThe Evil Dead
1983
#2529xWe Need to Talk About Kevin
2011
#2629xHereditary
2018
#2728xThe Exorcist
1973
#2827xThe Thing
1982
#2926xThe Mist
2007
#3025xMidsommar
2019
#3125xMagnolia
2000
#3225x10 Cloverfield Lane
2016
#3324xAnnihilation
2018
#3424xThe Lobster
2015
#3523xPi
1998
#3623xFrom Dusk Till Dawn
1996
#3723xPrimer
2005
#3821xNatural Born Killers
1994
#3921xDark City
1998
#4021xApocalypse Now
1979
#4121xJackie Brown
1997
#4221xMystic River
2003
#4321xIn Bruges
2008
#4420xEyes Wide Shut
1999
#4520xThere Will Be Blood
2008
#4617xMoon
2009
#4717xBurn After Reading
2008
#4817xThe Game
1997
#4917xTaxi Driver
1981
#5017xDrive
2011
#5117xPrisoners
2013
#5216xPsycho
1960
#5316xNightcrawler
2014
#5416xPredator
1987
#5516xZodiac
2007
#5616xGet Out
2017
#5715xBeing John Malkovich
1999
#5815xAliens
1986
#5915xFargo
1996
#6014xFear and Loathing in Las Vegas
1998
#6114xThe Machinist
2004
#6213xFull Metal Jacket
1987
#6313xBlade Runner
1982
#6413xNo Country for Old Men
2007
#6512xAlien
1979
#6612xScarface
1983
#6712xLooper
2012
#6812xThe Shining
1980El laberinto del fauno
2006
#7011xAmerican Psycho
2000
#7111x2001: A Space Odyssey
1968
#7211xLock, Stock and Two Smoking Barrels
1998
#7311xSin City
2005
#7411xBlack Swan
2010
#7510xEx Machina
2015
#7610.0xDistrict 9
2009
#779.9xTrainspotting
1996Goodfellas
1990
#799.6xReservoir Dogs
1992
#809.4xLéon: The Professional
1994
#819.3xThe Big Lebowski
1998
#829.2xShaun of the Dead
2004
#839.2xRequiem for a Dream
2000
#848.7xArrival
2016
#858.7xAmerican History X
1998
#868.6xGone Girl
2014
#878.4xSnatch
2001
#888.3xMad Max: Fury Road
2015
#898.1xDonnie Darko
2001
#908.1xThe Departed
2006
#918.0xWhiplash
2014
#928.0xTerminator 2: Judgment Day
1991
#938.0xHer
2014
#947.5xThe Silence of the Lambs
1991
#956.9xThe Godfather
1972
#966.8xDjango Unchained
2012
#976.7xThe Grand Budapest Hotel
2014
#986.6xKill Bill: Vol. 1
2003
#996.1xEternal Sunshine of the Spotless Mind
2004
#1006.0xInglourious Basterds
2009
#1015.8xShutter Island
2010
#1025.8xSe7en
1995
#1035.5xPulp Fiction
1994
#1045.5xThe Wolf of Wall Street
2013
#1054.8xFight Club
1999
#1064.7xThe Truman Show
1998
#1074.6xThe Prestige
2006
#1084.4xThe Dark Knight
2008
#1094.2xThe Matrix
1999
#1104.1xThe Shawshank Redemption
1994
#1113.8xInterstellar
2014
#1123.3xInception
2010How 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 Kill List consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Kill List 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.