feeldb

Under Siege 2: Dark Territory

1995 · 99 min · Director: Geoff Murphy ★ IMDb 5.6 · 53,978 ratings

Show plot summary (may contain spoilers)

Seal Team Commander Casey Ryback has retired from the Navy since the conclusion of the events in the first movie, and is now a chef at the Mile High Cafe in Denver, Colorado. Ryback is taking his niece Sarah Ryback on vacation, to reconnect and commiserate with her after the death of her parents. They board a train traveling westbound through the Rocky Mountains from Denver to LA. With the help of gun-for-hire Marcus Penn a couple dozen of his mercenaries, ex-CIA brain (and mentally unstable) Travis Dane commandeers the train, takes the passengers and crew hostage, and sets up a mobile control center. He hacks into the CIA database and gains control of a Top-Secret defence satellite he designed during his Agency days that has just been deployed. Funded by various foreign interests, he stands to make 1 billion dollars for using the space weapon to blow up the Eastern seaboard by targeting a nuclear reactor housed beneath the Pentagon. Dane taunts the Joint Chiefs in the Pentagon Situation Room by using it to blow up a Chinese chemical weapons plant and the two stealth planes sent to intercept him, secure in the knowledge that he cannot be stopped because his location can't be traced as long as the train keeps moving, his location can't be fixed. Ryback, aided by young porter Bobby Zachs, is the only ones who can take out the bad guys, rescue the hostages, and prevent the destruction of the eastern seaboard before Dane can realise his dastardly plans!

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Emotional fingerprint

Under Siege 2: Dark Territory (1995) — Movie. Top emotional signals: Excitement 35%, Tension 25%, Anxiety 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Love10%
  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 Excitement, Tension, Anxiety. Genres: Thriller, Adventure, Action. AI estimate.

Is it worth watching?

Consider this title if you are looking for Excitement, Tension 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 59/100.

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Emotional journey

AI · from subtitles
  • Tension
  • Fear
  • Relief

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Tension

Dominant emotion: Relief

Tension
Fear
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 8 %, then rises around 18 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionFearRelief
2.5 %≈ 2′Curiosity38 %17 %4 %5 %
7.5 %≈ 7′Curiosity34 %13 %4 %4 %
12.5 %≈ 12′Curiosity38 %21 %8 %5 %
17.5 %≈ 17′Tension55 %47 %27 %7 %
22.5 %≈ 22′Tension73 %71 %51 %3 %
27.5 %≈ 27′Tension77 %75 %56 %2 %
32.5 %≈ 32′Tension72 %70 %50 %2 %
37.5 %≈ 37′Tension76 %74 %53 %4 %
42.5 %≈ 42′Tension78 %77 %52 %7 %
47.5 %≈ 47′Tension76 %75 %47 %8 %
52.5 %≈ 52′Tension73 %73 %44 %8 %
57.5 %≈ 57′Tension72 %72 %46 %6 %
62.5 %≈ 62′Tension77 %77 %52 %4 %
67.5 %≈ 67′Tension81 %81 %56 %4 %
72.5 %≈ 72′Tension82 %83 %59 %6 %
77.5 %≈ 77′Tension82 %80 %56 %21 %
82.5 %≈ 82′Relief82 %78 %52 %31 %
87.5 %≈ 87′Tension85 %84 %60 %21 %
92.5 %≈ 92′Tension87 %72 %50 %35 %
97.5 %≈ 97′Relief86 %45 %25 %66 %
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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Cast

Eric Bogosian

Travis Dane

Katherine Heigl

Sarah Ryback

Morris Chestnut

Bobby Zachs

BB
Brenda Bakke

Cap. Linda Gilder

Peter Greene

Merc #1

Andy Romano

Admiral Bates

NM
Nick Mancuso

Tom Breaker

RD
Royce D. Applegate

Ryback's Cook

Dale Dye

Captain Garza

DG
David Gianopoulos

Captain David Trilling

ST
Sandra Taylor

Kelly

Kurtwood Smith

General Stanley Cooper

SS
Scott Sowers

Merc #3

AA
Afifi Alaouie

Female Merc

CD
Christopher Darga

Cook #1

DB
Don Blakely

Cook #2

Details

Directed by
Geoff Murphy
Written by
J.F. Lawton, Richard Hatem, Matt Reeves
Type
Movies
Released
1995
Runtime
99 min
Country
United States
Ratings
★ IMDb 5.6 · 53,978 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.