feeldb

Term Life

2016 · 93 min · Director: Peter Billingsley, Peter Billingsley ★ IMDb 5.6 · 9,049 ratings

Show plot summary (may contain spoilers)

A guy wanted around town by various hitmen hopes to stay alive long enough for his life insurance policy to kick in and pay out for his estranged daughter.

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Emotional fingerprint

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

  1. Humor15%
  2. Relief10%

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 Tension, Excitement, Anxiety. Genres: Drama, Crime, Action. AI estimate.

Is it worth watching?

Consider this title if you are looking for Tension, Excitement and Anxiety. Its IMDb rating of 5.6/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 58/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Tension
  • Empathy
  • Relief

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Tension

Dominant emotion: Empathy

Dominant emotion: Joy

Dominant emotion: Relief

Tension
Empathy
Relief
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 78 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionEmpathyRelief
2.5 %≈ 2′Tension47 %43 %18 %2 %
7.5 %≈ 7′Tension53 %49 %31 %3 %
12.5 %≈ 12′Empathy59 %54 %39 %1 %
17.5 %≈ 16′Tension70 %66 %39 %3 %
22.5 %≈ 21′Tension72 %66 %45 %6 %
27.5 %≈ 26′Empathy63 %50 %54 %8 %
32.5 %≈ 30′Empathy64 %49 %55 %8 %
37.5 %≈ 35′Tension65 %57 %44 %6 %
42.5 %≈ 40′Tension57 %55 %34 %5 %
47.5 %≈ 44′Tension53 %49 %35 %5 %
52.5 %≈ 49′Tension56 %40 %41 %11 %
57.5 %≈ 53′Joy65 %39 %44 %16 %
62.5 %≈ 58′Tension73 %60 %38 %8 %
67.5 %≈ 63′Tension79 %79 %39 %0 %
72.5 %≈ 67′Tension84 %84 %51 %6 %
77.5 %≈ 72′Tension86 %85 %56 %13 %
82.5 %≈ 77′Tension83 %81 %51 %16 %
87.5 %≈ 81′Tension77 %68 %46 %39 %
92.5 %≈ 86′Relief65 %41 %36 %50 %
97.5 %≈ 91′Joy47 %17 %20 %32 %
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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Feeling details appear after at least 3 viewers respond, to protect privacy.

Cast

Bill Paxton

Detective Keenan

Mike Epps

Darryl Mosley

Jordi Mollà

Victor Fuentes

Shea Whigham

Matty Miller

Jon Favreau

Jimmy Lincoln

WL
William Levy

Allejandro

Taraji P. Henson

Samantha Thurman

Terrence Howard

Sheriff Braydon

CV
Cain Velasquez

Marco

RH
Rio Hackford

Deputy Dean

BF
Brian F. Durkin

John Stasio

JP
James Paxton

Adam

JC
Javier Carrasquillo

Jaime

Details

Written by
Andy Lieberman, Nick Thornborrow
Type
Movies
Released
2016
Runtime
93 min
Country
United States
Ratings
★ IMDb 5.6 · 9,049 ratings
Feels mostly
Tension
Data updated

Where to watch

Data: JustWatch · Wikidata

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