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The Gunman

2015 · 115 min · Director: Pierre Morel ★ IMDb 5.8 · 45,961 ratings

Show plot summary (may contain spoilers)

A sniper on a mercenary assassination team, working for an unknown client, kills the minister of mines of the Congo. Terrier's (Sean Penn's) successful kill shot forces him to go into hiding to protect himself and the members of the team from retribution. This includes abruptly abandoning his girlfriend who has no idea what is going on. The assassination, paid for by a foreign mining company, triggers wide spread chaos and death in an already inflamed Congo. Terrier returns to the Congo years later working for an NGO, but eventually finds himself to be the target of a paid hit squad somehow connected to the ministers assassination. This leads to immediate deaths and the endangerment of the people working around him, and forces him back into hiding. In trying to discover who has put a price on his head, he begins to reconnect to the members of his old assassination team, including his old girlfriend. Always aware there is no path to redemption for his crimes, he is also periodically incapacitated by a type of accumulated and evolving physical brain damage caused by the hard knocks of his occupation. Unexpectedly, given the time that has elapsed, his reconnection to his old assassination team exposes additional intrigues with immediate deadly consequences. All of his years spent in hiding, have merely delayed the twisted end game that now enfolds.

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Emotional fingerprint

The Gunman (2015) — Movie. Top emotional signals: Excitement 30%, Tension 25%, Fear 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Fear20%

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 Excitement, Tension, Fear. Genres: Mystery, Crime, Action. AI estimate.

Is it worth watching?

Consider this title if you are looking for Excitement, Tension and Fear. Its IMDb rating of 5.8/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 59/100.

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Emotional journey

AI · from subtitles
  • Tension
  • Fear
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Tension

Dominant emotion: Sadness

Dominant emotion: Relief

Tension
Fear
Sadness
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 peaks around 53 %, then peaks around 83 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionFearSadness
2.5 %≈ 3′Curiosity40 %33 %15 %15 %
7.5 %≈ 9′Curiosity46 %44 %21 %14 %
12.5 %≈ 14′Tension61 %61 %39 %18 %
17.5 %≈ 20′Tension68 %68 %48 %15 %
22.5 %≈ 26′Tension63 %60 %39 %16 %
27.5 %≈ 32′Tension58 %51 %31 %24 %
32.5 %≈ 37′Curiosity51 %45 %24 %24 %
37.5 %≈ 43′Curiosity49 %40 %13 %31 %
42.5 %≈ 49′Sadness56 %44 %16 %43 %
47.5 %≈ 55′Tension73 %65 %44 %48 %
52.5 %≈ 60′Tension80 %78 %60 %50 %
57.5 %≈ 66′Tension68 %64 %46 %41 %
62.5 %≈ 72′Relief54 %50 %31 %25 %
67.5 %≈ 78′Curiosity54 %51 %26 %18 %
72.5 %≈ 83′Tension65 %63 %35 %21 %
77.5 %≈ 89′Tension78 %76 %54 %33 %
82.5 %≈ 95′Tension84 %84 %65 %36 %
87.5 %≈ 101′Tension83 %81 %65 %28 %
92.5 %≈ 106′Tension78 %75 %60 %25 %
97.5 %≈ 112′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 ↗

Afterward Reveal viewer responses · may contain spoilers

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

0 responses so far

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

Cast

Javier Bardem

Felix Marti

Ray Winstone

Stanley Edgerton

Mark Rylance

Terrance Cox

PF
Peter Franzén

Reiniger

BB
Billy Billingham

Reed

AO
Ade Oyefeso

Eugene

SM
Sarah Moyle

Ruth

RL
Rachel Lascar

Camille

MS
Mark Schardan

Procurement Chief (NGO)

CP
Carla Pérez

Female Aid Worker

PP
Prasanna Puwanarajah

Doctor (UCL)

AW
Annick Weerts

Restaurant Hostess

DC
Dacio Caballero

Shooter

CU
Cuco Usín

Company Man

OF
Oscar Foronda

Company Man

AF
Angela Fuente

Nurse

Details

Directed by
Pierre Morel
Written by
Sean Penn, Pete Travis, Jean-Patrick Manchette, Don MacPherson
Type
Movies
Released
2015
Runtime
115 min
Country
United States, Spain, United Kingdom, France
Ratings
★ IMDb 5.8 · 45,961 ratings
Feels mostly
Excitement
Data updated

Where to watch

Also on

Availability varies by country

Data: JustWatch · Wikidata

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