feeldb

Lethal Weapon

1987 · 110 min · Director: Richard Donner ★ IMDb 7.6 · 299,699 ratings

Show plot summary (may contain spoilers)

Martin Riggs is an L.A. cop with suicidal tendencies and Roger Murtaugh is the unlucky police officer with whom Riggs is assigned. Together they uncover a huge drug-smuggling operation, and as their success rate grows so does their friendship.

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Emotional fingerprint

Lethal Weapon (1987) — Movie. Top emotional signals: Excitement 30%, Humor 25%, Tension 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Humor25%
  2. Love10%

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, Humor, Tension. Genres: Thriller, Crime, Action. AI estimate.

Is it worth watching?

Consider this title if you are looking for Excitement, Humor and Tension. Its IMDb rating of 7.6/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 73/100.

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Emotional journey

AI · from subtitles
  • Tension
  • Relief
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Joy

Dominant emotion: Humor

Dominant emotion: Tension

Dominant emotion: Sadness

Dominant emotion: Relief

Tension
Relief
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.
Ending hidden

Dominant emotion

Intensity eases around 38 %, then dips around 48 %, then peaks around 78 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionReliefSadness
2.5 %≈ 3′Joy58 %7 %0 %10 %
7.5 %≈ 8′Humor57 %29 %1 %15 %
12.5 %≈ 14′Tension64 %53 %3 %20 %
17.5 %≈ 19′Sadness68 %55 %1 %39 %
22.5 %≈ 25′Tension71 %60 %0 %49 %
27.5 %≈ 30′Tension76 %70 %4 %40 %
32.5 %≈ 36′Tension74 %69 %18 %26 %
37.5 %≈ 41′Relief63 %49 %28 %10 %
42.5 %≈ 47′Humor51 %26 %20 %5 %
47.5 %≈ 52′Humor50 %31 %9 %9 %
52.5 %≈ 58′Tension55 %48 %3 %11 %
57.5 %≈ 63′Tension61 %56 %0 %16 %
62.5 %≈ 69′Tension73 %69 %0 %29 %
67.5 %≈ 74′Tension83 %81 %3 %36 %
72.5 %≈ 80′Tension88 %86 %5 %31 %
77.5 %≈ 85′Tension91 %88 %10 %26 %
82.5 %≈ 91′Tension89 %84 %20 %18 %
87.5 %≈ 96′Tension83 %76 %31 %15 %
92.5 %≈ 102′Relief79 %55 %50 %23 %
97.5 %≈ 107′Relief77 %27 %65 %22 %
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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Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

Mitchell Ryan

General Peter McAllister

Tom Atkins

Michael Hunsaker

DL
Darlene Love

Trish Murtaugh

TW
Traci Wolfe

Rianne Murtaugh

JS
Jackie Swanson

Amanda Hunsaker

DH
Damon Hines

Nick Murtaugh

ES
Ebonie Smith

Carrie Murtaugh

BK
Bill Kalmenson

Beat Cop

LN
Lycia Naff

Dixie

PC
Patrick Cameron

Cop #1

DG
Don Gordon

Cop #2

JF
Jimmie F. Skaggs

Drug Dealer #1

JR
Jason Ronard

Drug Dealer #2

BD
Blackie Dammett

Drug Dealer #3

GB
Gail Bowman

Cop

RF
Robert Fol

Cop

SA
Selma Archerd

Policewoman

Details

Directed by
Richard Donner
Type
Movies
Released
1987
Runtime
110 min
Country
United States
Ratings
★ IMDb 7.6 · 299,699 ratings
Feels mostly
Excitement
Data updated

Where to watch

Data: JustWatch · Wikidata

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