feeldb

Sisters

2015 · 118 min · Director: Jason Moore ★ IMDb 6 · 74,094 ratings

Show plot summary (may contain spoilers)

Sisters Kate and Maura Ellis are summoned home to clean out their childhood bedroom before their parents sell the family house, much to their dismay. Looking to recapture their glory days, they throw one final high-school-style party for their classmates, which turns into the cathartic rager that a bunch of ground-down adults really need.

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Emotional fingerprint

Sisters (2015) — Movie. Top emotional signals: Humor 35%, Joy 25%, Love 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

35%Humor
25%Joy
20%Love
  1. Humor35%
  2. Joy25%
  3. Love20%

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, Joy, Love. Genres: Comedy. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Joy and Love. Its IMDb rating of 6.0/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 62/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Humor
  • Joy
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Tension

Humor
Joy
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.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 83 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorJoyTension
2.5 %≈ 3′Humor50 %50 %10 %13 %
7.5 %≈ 9′Humor57 %56 %11 %16 %
12.5 %≈ 15′Humor64 %60 %18 %21 %
17.5 %≈ 21′Humor63 %59 %20 %21 %
22.5 %≈ 27′Humor59 %56 %14 %23 %
27.5 %≈ 32′Humor57 %55 %15 %23 %
32.5 %≈ 38′Humor58 %56 %23 %20 %
37.5 %≈ 44′Humor60 %59 %26 %19 %
42.5 %≈ 50′Humor61 %57 %25 %20 %
47.5 %≈ 56′Humor60 %56 %21 %24 %
52.5 %≈ 62′Humor61 %60 %19 %24 %
57.5 %≈ 68′Humor63 %63 %19 %25 %
62.5 %≈ 74′Humor65 %64 %23 %33 %
67.5 %≈ 80′Humor66 %63 %23 %41 %
72.5 %≈ 86′Humor64 %59 %18 %43 %
77.5 %≈ 91′Humor66 %57 %13 %46 %
82.5 %≈ 97′Tension70 %56 %16 %54 %
87.5 %≈ 103′Humor65 %54 %26 %44 %
92.5 %≈ 109′Humor60 %55 %31 %24 %
97.5 %≈ 115′Humor62 %60 %35 %13 %
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 ↗

Kadri — your film companion

AI

Ask anything about Sisters. From the film’s own dialogue and FeelDB data, at your spoiler level.

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

Cast

Maya Rudolph

Brinda

Dianne Wiest

Deana Ellis

James Brolin

Bucky Ellis

John Cena

Pazuzu

Greta Lee

Hae-Won

SF
Santino Fontana

Mr. Geernt

BL
Britt Lower

Mrs. Geernt

SB
Samantha Bee

Liz

MO
Matt Oberg

Rob

JG
Jon Glaser

Dan

CW
Colleen Werthmann

Cray

Details

Directed by
Jason Moore
Written by
Paula Pell, Paula Pell
Type
Movies
Released
2015
Runtime
118 min
Country
United States
Genres
Comedy
Ratings
★ IMDb 6 · 74,094 ratings
Feels mostly
Humor
Data updated

Where to watch

Data: JustWatch · Wikidata

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