feeldb

Ghosted

2009 · 89 min · Director: Monika Treut ★ IMDb 4.6 · 411 ratings

Show plot summary (may contain spoilers)

A woman who is mourning the love of her life falls into a relationship with a mysterious stranger.

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Emotional fingerprint

Ghosted (2009) — Movie. Top emotional signals: Sadness 30%, Confusion 25%, Love 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Love20%

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 Sadness, Confusion, Love. Genres: Thriller, Drama, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Sadness, Confusion and Love. Its IMDb rating of 4.6/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 61/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Curiosity
  • Sadness
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Sadness

Dominant emotion: Love

Dominant emotion: Tension

Curiosity
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. Not enough subtitle evidence
Ending hidden

Dominant emotion

Intensity dips around 3 %, then dips around 18 %, then peaks around 83 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityCuriositySadnessTension
2.5 %≈ 2′Curiosity38 %40 %13 %23 %
7.5 %≈ 7′Curiosity40 %39 %20 %19 %
12.5 %≈ 11′Sadness41 %34 %31 %14 %
17.5 %≈ 16′Sadness36 %29 %31 %13 %
22.5 %≈ 20′Sadness39 %28 %35 %13 %
27.5 %≈ 24′Sadness45 %28 %40 %18 %
32.5 %≈ 29′Curiosity40 %28 %29 %26 %
37.5 %≈ 33′Love41 %25 %29 %32 %
42.5 %≈ 38′Sadness50 %28 %35 %35 %
47.5 %≈ 42′Curiosity50 %39 %25 %35 %
52.5 %≈ 47′Curiosity48 %44 %23 %36 %
57.5 %≈ 51′Curiosity45 %40 %29 %35 %
62.5 %≈ 56′Sadness44 %40 %26 %32 %
67.5 %≈ 60′Curiosity51 %49 %29 %38 %
72.5 %≈ 65′Sadness63 %60 %41 %49 %
77.5 %≈ 69′Curiosity71 %69 %44 %61 %
82.5 %≈ 73′Curiosity79 %73 %45 %73 %
87.5 %≈ 78′Tension76 %66 %53 %68 %
92.5 %≈ 82′Sadness65 %57 %53 %50 %
97.5 %≈ 87′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence
Riches to rags

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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Feeling details appear after at least 3 viewers respond, to protect privacy.

Cast

IB
Inga Busch

IB
Inga Busch

Sophie Schmitt

HK
Huan-Ru Ke

KH
Ke Huan-ru

Ai-ling Chen

HT
Hu Tingting

HT
Hu Tingting

Mei Li

JS
Jana Schulz

MH
Marek Harloff

MH
Marek Harloff

Leon

LY
Lu Yi-ching

LY
Lu Yi-ching

Ya-ching

Jack Kao

Chen Fu

ND
Nick Dong-Sik

ND
Nick Dong-Sik

Herr Lee

Details

Directed by
Monika Treut
Written by
Monika Treut, Astrid Ströher
Type
Movies
Released
2009
Runtime
89 min
Country
Germany
Ratings
★ IMDb 4.6 · 411 ratings
Feels mostly
Sadness
Data updated

Where to watch

Data: JustWatch · Wikidata

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