The Standoff
2016 · 90 min · Director: Ilyssa Goodman
Show plot summary (may contain spoilers)
They can barely stand each other, but can they stand next to each other for three days, without sleep, for the chance to win the car of their dreams?
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Emotional fingerprint
The Standoff (2016) — Movie. Top emotional signals: Excitement 35%, Humor 30%, Anxiety 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Excitement35%
- Humor30%
- Anxiety20%
- Satisfaction15%
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, Humor, Anxiety. Genres: Comedy. AI estimate.
Is it worth watching?
Consider this title if you are looking for Excitement, Humor and Anxiety. Its IMDb rating of 5.4/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 63/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Humor
- Anticipation
- Joy
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Humor
Dominant emotion: Anticipation
Dominant emotion: Love
Dominant emotion: Joy
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Humor | Anticipation | Joy |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Humor | 38 % | 37 % | 27 % | 13 % |
| 7.5 % | ≈ 7′ | Humor | 44 % | 40 % | 36 % | 19 % |
| 12.5 % | ≈ 11′ | Humor | 48 % | 45 % | 39 % | 20 % |
| 17.5 % | ≈ 16′ | Humor | 46 % | 48 % | 34 % | 15 % |
| 22.5 % | ≈ 20′ | Humor | 48 % | 49 % | 38 % | 13 % |
| 27.5 % | ≈ 25′ | Humor | 53 % | 54 % | 38 % | 10 % |
| 32.5 % | ≈ 29′ | Humor | 54 % | 55 % | 29 % | 9 % |
| 37.5 % | ≈ 34′ | Humor | 51 % | 50 % | 26 % | 14 % |
| 42.5 % | ≈ 38′ | Humor | 49 % | 45 % | 25 % | 19 % |
| 47.5 % | ≈ 43′ | Humor | 50 % | 45 % | 23 % | 19 % |
| 52.5 % | ≈ 47′ | Humor | 53 % | 51 % | 21 % | 14 % |
| 57.5 % | ≈ 52′ | Humor | 49 % | 53 % | 16 % | 9 % |
| 62.5 % | ≈ 56′ | Humor | 48 % | 53 % | 14 % | 9 % |
| 67.5 % | ≈ 61′ | Humor | 50 % | 50 % | 21 % | 9 % |
| 72.5 % | ≈ 65′ | Anticipation | 51 % | 43 % | 31 % | 8 % |
| 77.5 % | ≈ 70′ | Humor | 54 % | 45 % | 34 % | 10 % |
| 82.5 % | ≈ 74′ | Humor | 56 % | 43 % | 34 % | 19 % |
| 87.5 % | ≈ 79′ | Love | 57 % | 33 % | 35 % | 28 % |
| 92.5 % | ≈ 83′ | Humor | 57 % | 36 % | 28 % | 36 % |
| 97.5 % | ≈ 88′ | Joy | 60 % | 43 % | 17 % | 48 % |
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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Premise onlyAfterward 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
Big Jim Malone
Lala Zzyzx
Chris Goodman
Maya
Mia
Klyde Kosar
Colby Mann
Christie
Frank
Gamekingninja
Crazy Cat Lady
Cheerleader
Cheerleader
Details
- Directed by
- Ilyssa Goodman
- Written by
- Leigh Dunlap
- Type
- Movies
- Released
- 2016
- Runtime
- 90 min
- Country
- United States
- Genres
- Comedy
- Ratings
- Feels mostly
- Excitement
- Data updated
Where to watch
Subscription
Free
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Plex Channel
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Amazon Prime Video Free with Ads
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Cineverse
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Tubi TV
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Amazon MX Player
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Rent
Data: JustWatch
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More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





