
If You Like Fallen(1998)
Based on real preference data from thousands of voters, here's what fans of Fallen also love.
133 connections found
#188xThe Bone Collector
1999
#248xSpeed
1994
#345xThe Fugitive
1993
#444xCon Air
1997
#540xRed Dragon
2002
#640xMan on Fire
2004
#737xIdentity
2003
#837xFace/Off
1997
#932xThe Rock
1996
#1032xHannibal
2001
#1131xEnemy of the State
1998
#1228xThe Devil's Advocate
1997
#1327xInside Man
2006
#1426xThe Crow
1994
#1524xThe Book of Eli
2010
#1624xArmageddon
1998
#1723xTraining Day
2001
#1823xIndependence Day
1996
#1922xCollateral
2004
#2020xUnbreakable
2000
#2120xThe Game
1997
#2219xBlade
1998
#2319xHeat
1995
#2419xThe Day After Tomorrow
2004
#2518x300
2007
#2618xStarship Troopers
1997
#2717xKill Bill: Vol. 2
2004
#2817xTotal Recall
1990
#2916xConstantine
2005
#3016xPredator
1987
#3114xDie Hard
1988
#3213xMemento
2001
#3313xAliens
1986
#3413xTwelve Monkeys
1996
#3513xZodiac
2007
#3612xThe Bourne Identity
2002
#3712xLéon: The Professional
1994
#3812xGet Out
2017
#3911xScarface
1983
#4011xThe Machinist
2004Terminator
1984
#4211xLooper
2012
#4311xThe Sixth Sense
1999
#4411xThe Fifth Element
1997
#4511xWatchmen
2009
#4611xBack to the Future Part II
1989
#4710xBraveheart
1995
#4810xBeetlejuice
1988
#4910xJohn Wick
2014
#5010xI, Robot
2004Star Wars: Episode VI - Return of the Jedi
1983
#5210xIndiana Jones and the Last Crusade
1989
#5310.0xMinority Report
2002
#5410.0xTerminator 2: Judgment Day
1991
#559.8xOcean's Eleven
2001
#569.7xThe Green Mile
1999
#579.6xBlade Runner
1982
#589.6xI Am Legend
2007
#599.5xAlien
1979
#609.4xGroundhog Day
1993
#619.4xKick-Ass
2010
#629.4xCast Away
2000
#639.2xSpider-Man
2002
#649.0xMen in Black
1997
#659.0xSin City
2005
#668.9xThe Butterfly Effect
2004
#678.9xSe7en
1995
#688.8xFargo
1996
#698.7xFull Metal Jacket
1987Goodfellas
1990Star Wars: Episode V - The Empire Strikes Back
1980
#728.6xX-Men
2000
#738.3xKill Bill: Vol. 1
2003
#748.3xJurassic Park
1993
#758.3xThe Departed
2006
#768.2xShaun of the Dead
2004
#778.1xThe Silence of the Lambs
1991
#788.0xMad Max: Fury Road
2015
#797.9xSaving Private Ryan
1998
#807.8xGladiator
2000
#817.7xSnatch
2001
#827.7xDistrict 9
2009
#837.7xZombieland
2009
#847.6xEdge of Tomorrow
2014
#857.5xLimitless
2011
#867.3xThe Hangover
2009
#877.1xIron Man 2
2010
#887.1xEdward Scissorhands
1990
#897.0xNo Country for Old Men
2007
#907.0xThe Incredibles
2004
#917.0xThe Breakfast Club
1985
#926.8xThe Shining
1980
#936.8xGone Girl
2014
#946.7xThe Dark Knight Rises
2012
#956.6xBatman Begins
2005
#966.5xAmerican History X
1998
#976.5xShrek
2001
#986.3xGood Will Hunting
1998
#996.3xCatch Me If You Can
2003
#1006.3xAmerican Psycho
2000
#1016.3xThe Martian
2015
#1026.3xBack to the Future
1985
#1036.2xThe Big Lebowski
1998
#1046.2xDeadpool
2016
#1056.1xThe Godfather
1972
#1065.8xReservoir Dogs
1992
#1075.8xShutter Island
2010
#1085.8xMonsters, Inc.
2001
#1095.6xThe Prestige
2006
#1105.5xThe Shawshank Redemption
1994
#1115.4xV for Vendetta
2006
#1125.4xUp
2009
#1135.4xRequiem for a Dream
2000
#1145.3xAvatar
2009
#1155.3xThe Avengers
2012
#1165.1xDjango Unchained
2012
#1175.0xThe Matrix
1999
#1185.0xThe Lord of the Rings: The Two Towers
2002
#1195.0xThe Dark Knight
2008
#1205.0xForrest Gump
1994
#1215.0xThe Lord of the Rings: The Return of the King
2003
#1224.9xGuardians of the Galaxy
2014
#1234.9xThe Truman Show
1998
#1244.9xIron Man
2008
#1254.8xDonnie Darko
2001
#1264.7xThe Lord of the Rings: The Fellowship of the Ring
2001
#1274.6xPulp Fiction
1994
#1284.4xInglourious Basterds
2009
#1294.1xFight Club
1999
#1304.0xEternal Sunshine of the Spotless Mind
2004Harry Potter and the Sorcerer's Stone
2001
#1323.6xInterstellar
2014
#1333.5xInception
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 Fallen consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Fallen 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.