feeldb

Nine Lives

2016 · 87 min · Director: Barry Sonnenfeld ★ IMDb 5.3 · 26,154 ratings

Show plot summary (may contain spoilers)

Tom Brand (Kevin Spacey) is a daredevil billionaire at the top of his game. His eponymous company FireBrand is nearing completion on its greatest achievement to date - the tallest skyscraper in the northern hemisphere. But Tom's workaholic lifestyle has disconnected him from his family, particularly his beautiful wife Lara (Jennifer Garner) and his adoring daughter Rebecca (Malina Weissman). Rebecca's 11th birthday is here, and she wants the gift she wants every year, a cat. Tom hates cats, but he is without a gift and time is running out. His GPS directs him to a mystical pet store brimming with odd and exotic cats- where the store's eccentric owner- Felix Perkins (Christopher Walken), presents him with a majestic tomcat, named Mr. Fuzzypants. En route to present his daughter with her dream pet, a bizarre turn of events finds Tom trapped inside the body of Mr. Fuzzypants. Adopted by his own family, he begins to experience what life is truly like for the family pet, and as a cat, Tom begins to see his family and his life through a new and unexpected perspective. Meanwhile, his family adjusts to life with an odd and stubborn cat, and his son David (Robbie Amell), steps up in ways Tom never expected. If any hope exists of returning to his family as the husband and father they deserve, Tom will have to learn why he has been placed in this peculiar situation and the great lengths he must go to earn back his human existence.

Trailer for Nine Lives

Playing the trailer connects to YouTube. No connection is made until you choose to play.

Rate how it felt
Working…

Your viewing check-in

Emotional fingerprint

Nine Lives (2016) — Movie. Top emotional signals: Humor 35%, Empathy 20%, Satisfaction 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Humor35%
  2. Hope15%
  3. 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 Humor, Empathy, Satisfaction. Genres: Comedy, Drama, Family. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Empathy and Satisfaction. Its IMDb rating of 5.3/10 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?

Votes are saved to the fingerprint once you’re signed in.

Pick up to three · 0/3

1
2
3

Emotional journey

AI · from subtitles
  • Humor
  • Empathy
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Tension

Dominant emotion: Empathy

Dominant emotion: Sadness

Dominant emotion: Relief

Humor
Empathy
Tension
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. Not enough subtitle evidence
Ending hidden

Dominant emotion

Intensity dips around 3 %, then rises around 78 %, then peaks around 88 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorEmpathyTension
2.5 %≈ 2′Humor45 %43 %12 %16 %
7.5 %≈ 7′Humor46 %44 %16 %19 %
12.5 %≈ 11′Humor50 %48 %24 %17 %
17.5 %≈ 15′Humor55 %43 %30 %29 %
22.5 %≈ 20′Tension61 %34 %41 %47 %
27.5 %≈ 24′Empathy59 %40 %47 %38 %
32.5 %≈ 28′Humor52 %46 %42 %21 %
37.5 %≈ 33′Humor50 %47 %37 %21 %
42.5 %≈ 37′Humor50 %47 %36 %27 %
47.5 %≈ 41′Humor51 %47 %33 %31 %
52.5 %≈ 46′Humor53 %44 %33 %29 %
57.5 %≈ 50′Sadness54 %35 %42 %27 %
62.5 %≈ 54′Empathy53 %27 %48 %35 %
67.5 %≈ 59′Sadness57 %24 %52 %42 %
72.5 %≈ 63′Sadness60 %23 %54 %45 %
77.5 %≈ 67′Tension64 %20 %53 %56 %
82.5 %≈ 72′Sadness75 %19 %56 %71 %
87.5 %≈ 76′Tension80 %30 %52 %61 %
92.5 %≈ 80′Relief79 %41 %46 %35 %
97.5 %≈ 85′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence
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 ↗

Afterward Reveal viewer responses · may contain spoilers

Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

0 responses so far

Feeling details appear after at least 3 viewers respond, to protect privacy.

Cast

Jennifer Garner

Lara Brand

Cheryl Hines

Madison Camden

MC
Mark Consuelos

Ian Cox

MW
Malina Weissman

Rebecca Brand

Christopher Walken

Felix Perkins

TE
Talitha Eliana Bateman

Nicole Camden

TS
Teddy Sears

Josh Myers

JB
Jewelle Blackman

Dr. Cole

MC
Mark Camacho

Josh Boone

ED
Ellen David

Tom's secretary

TD
Tristan D. Lalla

Hefty Guard

BA
Brad Aldous

Lanky

JJ
Julianne Jain

Fatima Banker

MG
Meghan Gabruch

Ian's Assistant

CS
Chloe Sonnenfeld

Cat (voice)

BS
Barry Sonnenfeld

Cat (voice)

Details

Directed by
Barry Sonnenfeld
Written by
Matt Allen, Caleb Wilson, Gwyn Lurie, Daniel Antoniazzi, Ben Shiffrin
Type
Movies
Released
2016
Runtime
87 min
Country
France, China, Canada, United States
Ratings
★ IMDb 5.3 · 26,154 ratings
Feels mostly
Humor
Data updated

Where to watch

Also on

Availability varies by country

Data: JustWatch · Wikidata

Feels similar

More like this →

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