feeldb

Accattone

1961 · 117 min · Director: Pier Paolo Pasolini ★ IMDb 7.6 · 11,410 ratings

Show plot summary (may contain spoilers)

A pimp with no other means to provide for himself finds his life spiralling out of control when his prostitute is sent to prison.

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Emotional fingerprint

Accattone (1961) — Movie. Top emotional signals: Melancholy 35%, Empathy 25%, Sadness 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 Melancholy, Empathy, Sadness. Genres: Drama. AI estimate.

Is it worth watching?

Consider this title if you are looking for Melancholy, Empathy and Sadness. Its IMDb rating of 7.6/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 74/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Sympathy
  • Sadness
  • Disturbing

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Disturbing

Dominant emotion: Tension

Dominant emotion: Sadness

Dominant emotion: Sympathy

Sympathy
Sadness
Disturbing
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 3 %, then peaks around 23 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensitySympathySadnessDisturbing
2.5 %≈ 3′Humor47 %17 %18 %18 %
7.5 %≈ 9′Humor51 %28 %29 %30 %
12.5 %≈ 15′Disturbing61 %38 %39 %50 %
17.5 %≈ 20′Tension68 %46 %38 %60 %
22.5 %≈ 26′Disturbing74 %53 %34 %63 %
27.5 %≈ 32′Tension70 %48 %35 %49 %
32.5 %≈ 38′Sadness59 %45 %44 %30 %
37.5 %≈ 44′Sadness59 %49 %50 %31 %
42.5 %≈ 50′Tension64 %49 %49 %39 %
47.5 %≈ 56′Humor60 %44 %40 %38 %
52.5 %≈ 61′Tension54 %43 %31 %31 %
57.5 %≈ 67′Sympathy55 %51 %36 %26 %
62.5 %≈ 73′Sympathy59 %54 %40 %34 %
67.5 %≈ 79′Disturbing64 %52 %40 %51 %
72.5 %≈ 85′Sympathy71 %63 %50 %63 %
77.5 %≈ 91′Sympathy70 %65 %50 %53 %
82.5 %≈ 97′Sympathy64 %59 %44 %36 %
87.5 %≈ 102′Sadness64 %57 %53 %38 %
92.5 %≈ 108′Sadness66 %55 %59 %41 %
97.5 %≈ 114′Sadness70 %53 %58 %40 %
Oedipus

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

FC
Franco Citti

Vittorio 'Accattone' Cataldi

FP
Franca Pasut

SC
Silvana Corsini

PG
Paola Guidi

AA
Adriana Asti

Amore

LC
Luciano Conti

LG
Luciano Gonini

RC
Renato Capogna

AL
Alfredo Leggi

GR
Galeazzo Riccardi

LM
Leonardo Muraglia

Mommoletto

GR
Giuseppe Ristagno

Peppe il Folle

RG
Roberto Giovannoni

Il Tedesco

MC
Mario Cipriani

Balilla

RS
Roberto Scaringella

Cartagine

SC
Silvio Citti

Sabino

GO
Giovanni Orgitano

Lo Scucchia

PM
Piero Morgia

Pio

UB
Umberto Bevilacqua

Salvatore

FB
Franco Bevilacqua

Franco

Details

Type
Movies
Released
1961
Runtime
117 min
Country
Italy
Genres
Drama
Ratings
★ IMDb 7.6 · 11,410 ratings
Feels mostly
Melancholy
Data updated

Where to watch

Data: JustWatch · Wikidata

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