feeldb

S.W.A.T.: Under Siege

2017 · 89 min · Director: Tony Giglio, Tony Giglio ★ IMDb 4.6 · 5,226 ratings

Show plot summary (may contain spoilers)

A SWAT compound comes under fire from an international terrorist who relentlessly and violently pursues a mystery man who was apprehended by Seattle SWAT after a raid went horribly wrong.

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Emotional fingerprint

S.W.A.T.: Under Siege (2017) — Movie. Top emotional signals: Tension 35%, Fear 25%, Excitement 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Fear25%

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, Fear, Excitement. Genres: Thriller, Action. AI estimate.

Is it worth watching?

Consider this title if you are looking for Tension, Fear and Excitement. 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 56/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Tension
  • Curiosity
  • Excitement

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Tension

Dominant emotion: Relief

Dominant emotion: Joy

Tension
Curiosity
Excitement
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 intensityTensionCuriosityExcitement
2.5 %≈ 2′Curiosity30 %23 %28 %12 %
7.5 %≈ 7′Tension48 %45 %30 %30 %
12.5 %≈ 11′Tension68 %64 %38 %44 %
17.5 %≈ 16′Curiosity60 %49 %49 %28 %
22.5 %≈ 20′Curiosity48 %35 %53 %11 %
27.5 %≈ 24′Curiosity59 %53 %60 %20 %
32.5 %≈ 29′Tension73 %70 %70 %33 %
37.5 %≈ 33′Curiosity75 %73 %70 %34 %
42.5 %≈ 38′Tension80 %79 %54 %45 %
47.5 %≈ 42′Tension84 %84 %38 %54 %
52.5 %≈ 47′Tension79 %79 %44 %36 %
57.5 %≈ 51′Tension70 %70 %53 %26 %
62.5 %≈ 56′Tension66 %66 %50 %39 %
67.5 %≈ 60′Tension74 %74 %51 %49 %
72.5 %≈ 65′Tension83 %83 %48 %56 %
77.5 %≈ 69′Tension85 %85 %31 %68 %
82.5 %≈ 73′Tension81 %80 %34 %58 %
87.5 %≈ 78′Tension75 %61 %46 %30 %
92.5 %≈ 82′Relief68 %34 %36 %18 %
97.5 %≈ 87′Joy60 %18 %22 %18 %
Man in a hole

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

Adrianne Palicki

Ellen Dwyer

Ty Olsson

Ward

PH
Pascale Hutton

Carley

Sam Jaeger

Travis Hall

KZ
Kyra Zagorsky

Sophia Gutierrez

OC
Olivia Cheng

Chu

ZP
Zahf Paroo

Hooks

AB
Aren Buchholz

York

FC
Francisco Cano

Guard #2

LC
Lisa Chandler

Phoenix

GC
Garvin Cross

Drug Enforcement Agent Weir

Mike Dopud

Franklin

DG
Dakota Guppy

Becky

MT
Marci T. House

Angela Jefferson

ON
Omari Newton

Benson

Details

Written by
Robert Hamner, Jonas Barnes, Keith Domingue
Type
Movies
Released
2017
Runtime
89 min
Country
United States
Ratings
★ IMDb 4.6 · 5,226 ratings
Feels mostly
Tension
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.