feeldb

Perfect Match

2015 · 83 min · Director: Ron Oliver ★ IMDb 6 · 2,305 ratings

Show plot summary (may contain spoilers)

When an engaged couple can't agree on anything, the mother of the groom (Linda Gray) hires a wedding planner (Danica McKellar) and an event planner (Paul Greene) to help put together the wedding of their dreams. The two planners are as different as night and day, but as they too learn to compromise, they discover opposites do indeed attract and can combine to produce incredible results!

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Emotional fingerprint

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

35%Love
25%Joy
20%Humor
  1. Love35%
  2. Joy25%
  3. Humor20%
  4. Relief20%

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 Love, Joy, Humor. Genres: Comedy, Drama, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Love, Joy and Humor. Its IMDb rating of 6.0/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 64/100.

How did it make you feel?

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Pick up to three · 0/3

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Emotional journey

AI · from subtitles
  • Love
  • Joy
  • Humor

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Joy

Dominant emotion: Love

Dominant emotion: Sadness

Love
Joy
Humor
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 dips around 43 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityLoveJoyHumor
2.5 %≈ 2′Humor36 %13 %20 %28 %
7.5 %≈ 6′Joy39 %20 %25 %28 %
12.5 %≈ 10′Humor38 %19 %18 %30 %
17.5 %≈ 15′Humor38 %13 %11 %34 %
22.5 %≈ 19′Humor40 %15 %13 %29 %
27.5 %≈ 23′Love45 %31 %18 %21 %
32.5 %≈ 27′Love47 %40 %25 %25 %
37.5 %≈ 31′Humor39 %28 %25 %29 %
42.5 %≈ 35′Joy35 %20 %28 %26 %
47.5 %≈ 39′Joy41 %30 %36 %26 %
52.5 %≈ 44′Joy48 %41 %40 %30 %
57.5 %≈ 48′Love51 %45 %39 %35 %
62.5 %≈ 52′Love51 %45 %36 %38 %
67.5 %≈ 56′Love49 %44 %32 %35 %
72.5 %≈ 60′Love46 %40 %26 %30 %
77.5 %≈ 64′Love48 %38 %25 %23 %
82.5 %≈ 68′Sadness53 %38 %24 %13 %
87.5 %≈ 73′Love61 %46 %26 %11 %
92.5 %≈ 77′Love67 %57 %40 %20 %
97.5 %≈ 81′Love64 %57 %43 %25 %
Icarus

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

Cast

LG
Linda Gray

Gabby Taylor

EG
Elise Gatien

Lucy

Robin Givens

Wedding Coordinator

ET
Erica Tremblay

Madison

Details

Directed by
Ron Oliver
Written by
Patricia Resnick
Type
Movies
Released
2015
Runtime
83 min
Country
United States, Canada
Ratings
★ IMDb 6 · 2,305 ratings
Feels mostly
Love
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.