
If You Like Underworld: Awakening(2012)
Based on real preference data from thousands of voters, here's what fans of Underworld: Awakening also love.
112 connections found
#1230xUnderworld
2003
#2159xBlade II
2002
#3125xRiddick
2013
#4105xResident Evil: Retribution
2012
#596xHellboy
2004X2: X-Men United
2003
#788xJurassic Park III
2001
#883xIron Man 3
2013
#982xResident Evil: Afterlife
2010
#1082xUnderworld: Evolution
2006Alien vs. Predator
2004
#1268xUnderworld: Rise of the Lycans
2009
#1364xBlade: Trinity
2004
#1462xResident Evil
2002
#1560xTransformers: Age of Extinction
2014
#1659xVan Helsing
2004
#1759xResident Evil: Extinction
2007
#1856xThe Mummy
1999
#1953xResident Evil: Apocalypse
2004
#2053xÆon Flux
2005
#2150xLara Croft: Tomb Raider
2001
#2249xThe Chronicles of Riddick
2004
#2347xBlade
1998
#2447xHellboy II: The Golden Army
2008
#2546xTransformers: Dark of the Moon
2011
#2645xTransformers: Revenge of the Fallen
2009
#2745xThe League of Extraordinary Gentlemen
2003
#2843xPrince of Persia: The Sands of Time
2010
#2941xThe Mummy Returns
2001
#3040xIndependence Day
1996
#3140xSpider-Man 2
2004
#3240xSherlock Holmes
2009
#3338xPitch Black
2000
#3436xConstantine
2005
#3536xNational Treasure
2004
#3635xPacific Rim
2013
#3735xThe Day After Tomorrow
2004
#3833xFantastic Four
2005
#3932xMen in Black 3
2012
#4031xThe Lost World: Jurassic Park
1997
#4130xJumper
2008
#4230xVenom
2018
#4330xPirates of the Caribbean: On Stranger Tides
2011
#4429xHancock
2008
#4528xWorld War Z
2013
#4628xMr. & Mrs. Smith
2005
#4727xTransformers
2007
#4827xJurassic World
2015
#4927xThe Wolverine
2013
#5027x300
2007
#5127xMen in Black II
2002
#5225xX-Men Origins: Wolverine
2009
#5325xStar Trek Into Darkness
2013
#5422xI, Robot
2004
#5522xThe Matrix Revolutions
2003X-Men 3: The Last Stand
2006
#5721xSherlock Holmes: A Game of Shadows
2011
#5821xThe Matrix Reloaded
2003
#5920xDeadpool 2
2018
#6020xLogan
2017
#6120xThor: The Dark World
2013
#6219xX-Men
2000
#6319xThe Hunger Games: Catching Fire
2013
#6419xStar Trek
2009
#6519xHarry Potter and the Deathly Hallows: Part 2
2011
#6618xThe Fifth Element
1997
#6718xGhostbusters
1984
#6818xPirates of the Caribbean: At World's End
2007
#6918xI Am Legend
2007
#7018xPirates of the Caribbean: Dead Man's Chest
2006
#7118xX-Men: Days of Future Past
2014
#7217xX-Men: First Class
2011
#7317xSpider-Man
2002
#7417xMen in Black
1997
#7517xAnt-Man
2015
#7617xThor: Ragnarok
2017
#7717xCaptain America: Civil War
2016
#7816xAvengers: Age of Ultron
2015
#7915xKingsman: The Secret Service
2015
#8015xGuardians of the Galaxy Vol. 2
2017
#8115xCaptain America: The First Avenger
2011
#8215xIron Man 2
2010
#8315xMinority Report
2002
#8415xDoctor Strange
2016
#8514xCaptain America: The Winter Soldier
2014
#8614xThor
2011
#8714xEdge of Tomorrow
2014Star Wars: Episode V - The Empire Strikes Back
1980
#8913xHarry Potter and the Half-Blood Prince
2009
#9013xHarry Potter and the Order of the Phoenix
2007
#9113xTerminator 2: Judgment Day
1991
#9213xThe Avengers
2012
#9312xJurassic Park
1993
#9412xHarry Potter and the Chamber of Secrets
2002
#9511xHarry Potter and the Prisoner of Azkaban
2004
#9610xAvatar
2009
#9710xPirates of the Caribbean: The Curse of the Black Pearl
2003
#9810xDeadpool
2016
#999.9xGuardians of the Galaxy
2014
#1009.7xIron Man
2008
#1019.5xThe Hunger Games
2012
#1029.0xThe Dark Knight Rises
2012
#1038.3xBatman Begins
2005
#1048.1xThe Lord of the Rings: The Two Towers
2002
#1057.9xThe Lord of the Rings: The Return of the King
2003
#1067.9xThe Lord of the Rings: The Fellowship of the Ring
2001
#1077.6xThe Matrix
1999
#1087.5xV for Vendetta
2006Harry Potter and the Sorcerer's Stone
2001
#1105.9xThe Dark Knight
2008
#1115.6xInterstellar
2014
#1124.5xInception
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 Underworld: Awakening consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Underworld: Awakening 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.