feeldb

Ice Sharks

2016 · 85 min · Director: Emile Edwin Smith ★ IMDb 3 · 1,654 ratings

Show plot summary (may contain spoilers)

A new breed of aggressive, ravenous sharks cracks the frozen ocean floor of an Arctic research station, devouring all who fall through. As the station sinks into frigid waters, those alive must fashion makeshift weapons or suffer the same fate.

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Emotional fingerprint

Ice Sharks (2016) — Movie. Top emotional signals: Fear 35%, Tension 25%, Excitement 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Fear35%
  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 Fear, Tension, Excitement. Genres: Adventure, Action, Horror. AI estimate.

Is it worth watching?

Consider this title if you are looking for Fear, Tension and Excitement. Its IMDb rating of 3.0/10 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
  • Fear
  • Hope

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Hope

Dominant emotion: Tension

Dominant emotion: Relief

Tension
Fear
Hope
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 rises around 18 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionFearHope
2.5 %≈ 2′Not enough subtitle evidence19 %14 %5 %10 %
7.5 %≈ 6′Hope25 %21 %9 %13 %
12.5 %≈ 11′Tension35 %32 %18 %11 %
17.5 %≈ 15′Tension54 %51 %38 %10 %
22.5 %≈ 19′Tension68 %66 %57 %14 %
27.5 %≈ 23′Relief65 %63 %51 %14 %
32.5 %≈ 28′Tension69 %67 %52 %11 %
37.5 %≈ 32′Tension80 %79 %66 %18 %
42.5 %≈ 36′Tension77 %75 %59 %30 %
47.5 %≈ 40′Tension74 %72 %55 %30 %
52.5 %≈ 45′Tension82 %81 %68 %23 %
57.5 %≈ 49′Tension86 %85 %73 %21 %
62.5 %≈ 53′Tension83 %81 %71 %24 %
67.5 %≈ 57′Tension76 %72 %60 %35 %
72.5 %≈ 62′Relief70 %63 %50 %45 %
77.5 %≈ 66′Tension74 %69 %53 %53 %
82.5 %≈ 70′Tension82 %79 %63 %54 %
87.5 %≈ 74′Tension87 %85 %71 %46 %
92.5 %≈ 79′Tension89 %86 %73 %49 %
97.5 %≈ 83′Tension89 %86 %72 %52 %
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

JP
Jenna Parker

KL
Kaiwi Lyman

Michael

CT
Clarissa Thibeaux

CT
Clarissa Thibeaux

Alex

TL
Travis Lincoln Cox

MD
Mia Danelle

LG
Leddie Garcia

SP
Shamar Philippe

SP
Shamar Philippe

Eddie

JH
Jim Helton

EE
Emile Edwin Smith

KM
Kris Marconi

Pilot Brigman

SC
Sharnae Caceres

Co-Pilot Palmer

ZZ
Zo Zosak

Crewman Childs

CA
Chris Arellano

Crewman Nauls

Details

Directed by
Emile Edwin Smith
Written by
Emile Edwin Smith
Type
Movies
Released
2016
Runtime
85 min
Country
United States of America
Ratings
★ IMDb 3 · 1,654 ratings
Feels mostly
Fear
Data updated

Where to watch

Data: JustWatch · Wikidata

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