
If You Like Ma(2019)
Based on real preference data from thousands of voters, here's what fans of Ma also love.
72 connections found
#1110xThe Invisible Man
2020
#2103xGerald's Game
2017
#394xEscape Room
2019
#486xDoctor Sleep
2019
#581xReady or Not
2019
#666xHappy Death Day
2017
#763xHush
2016
#858xThe Ritual
2017
#957xUs
2019
#1057xThe Autopsy of Jane Doe
2016
#1149xThe Invitation
2015Don't Breathe
2016
#1341xSinister
2012
#1440xOrphan
2009
#1538xHereditary
2018
#1636xMidsommar
2019
#1736xBird Box
2018
#1832xInsidious
2011
#1932xSplit
2017
#2031xFinal Destination
2000
#2131xIt Follows
2015
#2230xJennifer's Body
2009
#2329xThe Cabin in the Woods
2012
#2429xThe Conjuring
2013
#2528xIt
2017
#2625xA Quiet Place
2018
#2725xGet Out
2017
#2824xThe Ring
2002
#2923x10 Cloverfield Lane
2016
#3020xKnives Out
2019
#3118xSaw
2004
#3217xJumanji: Welcome to the Jungle
2017
#3314xJoker
2019
#3411xDeadpool 2
2018
#3510xBlack Swan
2010
#369.9xMean Girls
2004
#379.0xThe Butterfly Effect
2004
#388.9xJohn Wick
2014
#398.4xGone Girl
2014
#408.2xThe Sixth Sense
1999
#418.1xEasy A
2010
#428.1xI Am Legend
2007
#437.8xZombieland
2009
#447.5xThe Shining
1980
#457.0xKill Bill: Vol. 1
2003
#467.0xThe Hangover
2009
#476.6xThe Silence of the Lambs
1991
#486.6xSe7en
1995
#496.5xAmerican Psycho
2000
#506.3xEdward Scissorhands
1990
#516.3xJurassic Park
1993
#526.1xMonsters, Inc.
2001
#536.0xDeadpool
2016
#546.0xThe Green Mile
1999
#556.0xShutter Island
2010
#565.4xThe Hunger Games
2012
#575.3xUp
2009
#585.0xDonnie Darko
2001
#594.8xThe Wolf of Wall Street
2013
#604.8xDjango Unchained
2012
#614.7xBack to the Future
1985
#624.5xThe Truman Show
1998
#634.5xCatch Me If You Can
2003
#644.3xV for Vendetta
2006
#654.2xForrest Gump
1994
#664.1xThe Shawshank Redemption
1994
#674.0xThe Matrix
1999
#683.7xThe Dark Knight
2008
#693.5xPulp Fiction
1994
#703.4xInterstellar
2014
#713.3xInception
2010
#723.3xFight Club
1999How 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 Ma consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Ma 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.