feeldb

Rage

2016 · 142 min · Director: Sang-il Lee ★ IMDb 7 · 3,746 ratings

Show plot summary (may contain spoilers)

A grisly unsolved murder links three seemingly unrelated stories in three different Japanese cities.

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Emotional fingerprint

Rage (2016) — Movie. Top emotional signals: Anxiety 30%, Confusion 25%, Tension 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Anxiety, Confusion, Tension. Genres: Thriller, Drama, Mystery. AI estimate.

Is it worth watching?

Consider this title if you are looking for Anxiety, Confusion and Tension. Its IMDb rating of 7.0/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 69/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Empathy
  • Sadness
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Disturbing

Dominant emotion: Empathy

Dominant emotion: Tension

Dominant emotion: Love

Dominant emotion: Sadness

Empathy
Sadness
Tension
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 8 %, then peaks around 88 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityEmpathySadnessTension
2.5 %≈ 4′Disturbing55 %52 %38 %33 %
7.5 %≈ 11′Empathy41 %31 %21 %28 %
12.5 %≈ 18′Tension44 %14 %8 %40 %
17.5 %≈ 25′Tension51 %15 %5 %45 %
22.5 %≈ 32′Love45 %24 %6 %30 %
27.5 %≈ 39′Love44 %34 %16 %25 %
32.5 %≈ 46′Empathy49 %44 %29 %23 %
37.5 %≈ 53′Love59 %56 %44 %29 %
42.5 %≈ 60′Sadness69 %66 %57 %45 %
47.5 %≈ 67′Empathy61 %56 %48 %44 %
52.5 %≈ 75′Empathy55 %46 %32 %43 %
57.5 %≈ 82′Love63 %46 %28 %55 %
62.5 %≈ 89′Tension70 %48 %31 %66 %
67.5 %≈ 96′Tension71 %49 %41 %68 %
72.5 %≈ 103′Tension71 %50 %48 %64 %
77.5 %≈ 110′Empathy79 %60 %53 %68 %
82.5 %≈ 117′Disturbing90 %71 %63 %68 %
87.5 %≈ 124′Sadness93 %79 %77 %50 %
92.5 %≈ 131′Sadness81 %70 %66 %29 %
97.5 %≈ 138′Love68 %50 %37 %15 %
Cinderella

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

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Afterward Reveal viewer responses · may contain spoilers

Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

Satoshi Tsumabuki

Yuma Fujita

Go Ayano

Naoto Onishi

SH
Suzu Hirose

Izumi Komiya

Kenichi Matsuyama

Tetsuya Tashiro

HH
Hideko Hara

Takako Fujita, Yuma's Mother

CI
Chizuru Ikewaki

Asuka

Takahiro Miura

Sosuke Kitami

Pierre Taki

Kunihisa Nanjo

TS
Takara Sakumoto

Tatsuya

HI
Hiroaki Iwanaga

Guy at Party

SM
Shingo Mizusawa

Hayakawa

UA
Urara Awata

Izumi's Mother

JC
James Carlsen

Smoking Bar Guy

MH
Masato Hyugaji

Yuma's Friend #1

KE
Kenji Ebisawa

Yuma's Friend #2

KM
Kiara Minami

Akira, Yuma's Friend #3

Details

Directed by
Sang-il Lee
Written by
Sang-il Lee, Shûichi Yoshida
Type
Movies
Released
2016
Runtime
142 min
Country
Japan
Ratings
★ IMDb 7 · 3,746 ratings
Feels mostly
Anxiety
Data updated

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Emotion overlap shows mood similarity, not a prediction of enjoyment.