
If You Like Thoroughbreds(2018)
Based on real preference data from thousands of voters, here's what fans of Thoroughbreds also love.
133 connections found
#179xGood Time
2017
#267xSorry to Bother You
2018
#363xThe Neon Demon
2016
#459xThe Killing of a Sacred Deer
2017
#555xA Simple Favor
2018
#654xThe Favourite
2018
#754xThe Florida Project
2017
#853xBooksmart
2019
#950xIsle of Dogs
2018Mother!
2017
#1139xI, Tonya
2018
#1238xNocturnal Animals
2016
#1337xGame Night
2018
#1435xBlacKkKlansman
2018
#1533xUs
2019
#1632xAnnihilation
2018
#1731xHereditary
2018
#1830xThe Shape of Water
2017
#1929xIt Follows
2015
#2028xMidsommar
2019
#2128xThe Lobster
2015
#2227xLady Bird
2017
#2327xThe Nice Guys
2016
#2426xWe Need to Talk About Kevin
2011
#2524xMelancholia
2011
#2623xA Quiet Place
2018
#2722x10 Cloverfield Lane
2016
#2820xGet Out
2017
#2919xHeathers
1989
#3019xParasite
2019
#3118xIt
2017
#3218xKnives Out
2019
#3317xGhost World
2001
#3413xBaby Driver
2017
#3513xThe Royal Tenenbaums
2002
#3613xNightcrawler
2014
#3713xPrisoners
2013
#3813xDrive
2011
#3912xTaxi Driver
1976
#4012xZodiac
2007
#4112xJoker
2019
#4211xLost in Translation
2003
#4311xMoonrise Kingdom
2012
#4411xBlack Swan
2010
#4511xClueless
1995
#4611xEx Machina
2015
#4710xArrival
2016
#4810xTwelve Monkeys
1996
#4910xThere Will Be Blood
2008
#5010xBeing John Malkovich
1999
#5110.0xMoon
2009
#529.7xCoraline
2009
#539.7xBlack Panther
2018
#549.4xFear and Loathing in Las Vegas
1998
#559.4xThe Social Network
2010
#569.3xBeetlejuice
1988
#579.2xLittle Miss Sunshine
2006
#589.1xFargo
1996
#598.9xMean Girls
2004
#608.8xGone Girl
2014
#618.7xHer
2014
#628.7xBig Fish
2004
#638.7xWhiplash
2014
#648.6xDeadpool 2
2018
#658.5xAmerican Psycho
2000
#668.5xLéon: The Professional
1994
#678.4xThe Grand Budapest Hotel
2014
#688.4xAlien
1979
#698.3xThe Shining
1980
#708.2x2001: A Space Odyssey
1968El laberinto del fauno
2006
#727.9xBlade Runner
1982
#737.8xJuno
2007
#747.8xNo Country for Old Men
2007
#757.7xJohn Wick
2014
#767.6xThor: Ragnarok
2017
#777.5xThe Breakfast Club
1985
#787.4xThe Butterfly Effect
2004
#797.4xKick-Ass
2010
#807.2xMad Max: Fury Road
2015
#817.2xGroundhog Day
1993
#827.2xZombieland
2009
#837.1xTrainspotting
1996
#847.1xDistrict 9
2009
#857.1x10 Things I Hate About You
1999
#867.0xEasy A
2010
#877.0xDonnie Darko
2001
#886.9xKill Bill: Vol. 1
2003
#896.9xFull Metal Jacket
1987
#906.9xShaun of the Dead
2004
#916.8xScott Pilgrim vs. the World
2010
#926.7xEdward Scissorhands
1990
#936.7xEdge of Tomorrow
2014
#946.6xThe Nightmare Before Christmas
1993
#956.6xThe Perks of Being a Wallflower
2012
#966.5xRequiem for a Dream
2000
#976.4xThe Big Lebowski
1998
#986.3xThe Silence of the Lambs
1991
#996.3xTerminator 2: Judgment Day
1991Goodfellas
1990
#1015.9xAmélie
2001
#1025.9xSe7en
1995
#1035.8xReservoir Dogs
1992
#1045.8xDjango Unchained
2012
#1055.7xEternal Sunshine of the Spotless Mind
2004
#1065.7xThe Wolf of Wall Street
2013
#1075.5xThe Sixth Sense
1999
#1085.5xGood Will Hunting
1998
#1095.5xThe Truman Show
1998
#1105.4xAmerican History X
1998
#1115.4xDeadpool
2016
#1125.4xThe Departed
2006
#1135.4xJurassic Park
1993
#1145.3xThe Martian
2015
#1155.3xSpirited Away
2001
#1164.9xInglourious Basterds
2009
#1174.9xBack to the Future
1985
#1184.9xShutter Island
2010
#1194.7xThe Prestige
2006
#1204.7xMonsters, Inc.
2001
#1214.6xCatch Me If You Can
2003
#1224.6xPulp Fiction
1994
#1234.4xBatman Begins
2005
#1244.3xThe Dark Knight Rises
2012
#1254.1xThe Dark Knight
2008
#1264.0xFight Club
1999
#1273.9xThe Matrix
1999
#1283.8xGuardians of the Galaxy
2014
#1293.7xInterstellar
2014
#1303.6xThe Shawshank Redemption
1994
#1313.6xForrest Gump
1994
#1323.6xV for Vendetta
2006
#1333.4xInception
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 Thoroughbreds consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Thoroughbreds 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.