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200 Cigarettes

If You Like 200 Cigarettes(1999)

Based on real preference data from thousands of voters, here's what fans of 200 Cigarettes also love.

53 connections found

53 connections
Sort by
Reality Bites#1112x

Reality Bites

1994
Documentary
65 voters
Can't Hardly Wait#2106x

Can't Hardly Wait

1998
54 voters
Party Monster#387x

Party Monster

2003
Documentary
55 voters
Empire Records#476x

Empire Records

1995
87 voters
Welcome to the Dollhouse#573x

Welcome to the Dollhouse

1996
Action
65 voters
Jawbreaker#670x

Jawbreaker

1999
73 voters
Romy and Michele's High School Reunion#768x

Romy and Michele's High School Reunion

1997
57 voters
#866x

SLC Punk!

1999
64 voters
Saved!#961x

Saved!

2004
57 voters
Kids#1044x

Kids

1995
59 voters
Pretty in Pink#1143x

Pretty in Pink

1986
66 voters
Thirteen#1239x

Thirteen

2003
Thriller
62 voters
Ghost World#1338x

Ghost World

2001
84 voters
High Fidelity#1437x

High Fidelity

2000
56 voters
Cruel Intentions#1536x

Cruel Intentions

1999
53 voters
The Craft#1636x

The Craft

1996
74 voters
Sixteen Candles#1734x

Sixteen Candles

1984
63 voters
Heathers#1834x

Heathers

1989
82 voters
What's Eating Gilbert Grape#1929x

What's Eating Gilbert Grape

1994
51 voters
Rushmore#2023x

Rushmore

1999
53 voters
Garden State#2121x

Garden State

2004
57 voters
Natural Born Killers#2220x

Natural Born Killers

1994
Thriller
56 voters
The Rocky Horror Picture Show#2319x

The Rocky Horror Picture Show

1975
54 voters
The Royal Tenenbaums#2419x

The Royal Tenenbaums

2002
74 voters
Clueless#2518x

Clueless

1995
68 voters
Fear and Loathing in Las Vegas#2616x

Fear and Loathing in Las Vegas

1998
65 voters
Ferris Bueller's Day Off#2715x

Ferris Bueller's Day Off

1986
55 voters
Beetlejuice#2814x

Beetlejuice

1988
65 voters
Being John Malkovich#2914x

Being John Malkovich

1999
63 voters
Office Space#3013x

Office Space

1999
51 voters
Lost in Translation#3113x

Lost in Translation

2003
58 voters
The Breakfast Club#3213x

The Breakfast Club

1985
85 voters
10 Things I Hate About You#3312x

10 Things I Hate About You

1999
63 voters
Little Miss Sunshine#3411x

Little Miss Sunshine

2006
67 voters
Edward Scissorhands#3510x

Edward Scissorhands

1990
72 voters
Trainspotting#369.8x

Trainspotting

1996
72 voters
Juno#379.5x

Juno

2007
58 voters
Fargo#389.4x

Fargo

1996
Thriller
54 voters
Sin City#399.0x

Sin City

2005
50 voters
Requiem for a Dream#409.0x

Requiem for a Dream

2000
74 voters
Black Swan#418.4x

Black Swan

2010
50 voters
American Psycho#428.4x

American Psycho

2000
64 voters
The Shining#438.2x

The Shining

1980
65 voters
Amélie#448.2x

Amélie

2001
57 voters
The Big Lebowski#457.9x

The Big Lebowski

1998
60 voters
Donnie Darko#467.8x

Donnie Darko

2001
Thriller
83 voters
American History X#477.1x

American History X

1998
61 voters
Eternal Sunshine of the Spotless Mind#486.3x

Eternal Sunshine of the Spotless Mind

2004
74 voters
Reservoir Dogs#496.2x

Reservoir Dogs

1992
59 voters
The Silence of the Lambs#505.6x

The Silence of the Lambs

1991
Thriller
58 voters
Pulp Fiction#515.3x

Pulp Fiction

1994
85 voters
The Truman Show#524.4x

The Truman Show

1998
54 voters
Fight Club#533.8x

Fight Club

1999
Action
72 voters

How 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 200 Cigarettes consistently tend to also love certain other things. The "strength" score shows how much more likely fans of 200 Cigarettes 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.