
If You Like Boss Level(2021)
Based on real preference data from thousands of voters, here's what fans of Boss Level also love.
70 connections found
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#2129xFree Guy
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#389xTenet
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#837xSherlock Holmes
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#937xSpider-Man 2
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#1034xVenom
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#1133xJohn Wick: Chapter 2
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#1230xBlade Runner 2049
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#1328xIn Time
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#1427xAvengers: Endgame
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#1526xConstantine
2005
#1626xWonder Woman
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#1722xDeadpool 2
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#1822xSource Code
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#1922xBlack Panther
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#2022xLooper
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#2120xLogan
2017
#2219xAnt-Man
2015
#2319xJohn Wick
2014
#2418xCaptain America: Civil War
2016
#2518xThor: Ragnarok
2017
#2617xX-Men: Days of Future Past
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#2717xSpider-Man: Homecoming
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#2817xKingsman: The Secret Service
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#2917xDoctor Strange
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#3017xMinority Report
2002
#3117xI, Robot
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#3217xEdge of Tomorrow
2014
#3317xAvengers: Age of Ultron
2015
#3416xSpider-Man
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#3516xGuardians of the Galaxy Vol. 2
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#3616xX-Men: First Class
2011
#3715xCaptain America: The Winter Soldier
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#3815xArrival
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#3915xCaptain America: The First Avenger
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#4014xIron Man 2
2010
#4114xI Am Legend
2007
#4214xDistrict 9
2009
#4314xTerminator 2: Judgment Day
1991
#4413xMen in Black
1997
#4513xMad Max: Fury Road
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#4613xWALL·E
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#4713xLimitless
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#4812xDeadpool
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#4911xThe Avengers
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#5011xJurassic Park
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#5111xKill Bill: Vol. 1
2003
#5210xGuardians of the Galaxy
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#5310xThe Martian
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#5410.0xIron Man
2008
#559.0xAvatar
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#569.0xBatman Begins
2005
#578.9xBack to the Future
1985
#588.9xThe Dark Knight Rises
2012
#598.4xThe Prestige
2006
#608.2xPirates of the Caribbean: The Curse of the Black Pearl
2003
#617.9xDjango Unchained
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#627.8xSe7en
1995
#637.8xCatch Me If You Can
2003
#647.7xV for Vendetta
2006
#657.4xThe Matrix
1999
#667.3xInterstellar
2014
#677.0xThe Truman Show
1998
#686.8xThe Dark Knight
2008
#696.5xInception
2010
#705.0xFight 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 Boss Level consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Boss Level 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.