The Do-Over
2016 · 108 min · Director: Steven Brill
Show plot summary (may contain spoilers)
Max (Adam Sandler) and Charlie (David Spade) old school friends who reunite at their 25th high school reunion are tired of their mundane lives: they decide to wipe the slate clean for a do-over. After faking their deaths and assuming new identities, could their lives be better the second time around?
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Emotional fingerprint
The Do-Over (2016) — Movie. Top emotional signals: Humor 35%, Excitement 25%, Anger 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Humor35%
- Excitement25%
- Anger15%
- Surprise15%
- Satisfaction10%
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, Excitement, Anger. Genres: Comedy, Adventure, Action. AI estimate.
Is it worth watching?
Consider this title if you are looking for Humor, Excitement and Anger. Its IMDb rating of 5.7/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 58/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Humor
- Curiosity
- Tension
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Humor
Dominant emotion: Curiosity
Dominant emotion: Sadness
Dominant emotion: Tension
Dominant emotion: Relief
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Humor | Curiosity | Tension |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Humor | 53 % | 50 % | 20 % | 10 % |
| 7.5 % | ≈ 8′ | Humor | 54 % | 48 % | 21 % | 9 % |
| 12.5 % | ≈ 14′ | Humor | 59 % | 50 % | 32 % | 16 % |
| 17.5 % | ≈ 19′ | Curiosity | 61 % | 53 % | 46 % | 29 % |
| 22.5 % | ≈ 24′ | Humor | 60 % | 55 % | 43 % | 26 % |
| 27.5 % | ≈ 30′ | Humor | 61 % | 59 % | 30 % | 18 % |
| 32.5 % | ≈ 35′ | Humor | 64 % | 59 % | 28 % | 25 % |
| 37.5 % | ≈ 41′ | Humor | 65 % | 54 % | 39 % | 45 % |
| 42.5 % | ≈ 46′ | Curiosity | 64 % | 49 % | 53 % | 51 % |
| 47.5 % | ≈ 51′ | Curiosity | 63 % | 49 % | 57 % | 44 % |
| 52.5 % | ≈ 57′ | Curiosity | 61 % | 51 % | 50 % | 39 % |
| 57.5 % | ≈ 62′ | Humor | 61 % | 53 % | 35 % | 36 % |
| 62.5 % | ≈ 68′ | Humor | 64 % | 49 % | 35 % | 39 % |
| 67.5 % | ≈ 73′ | Curiosity | 66 % | 40 % | 49 % | 48 % |
| 72.5 % | ≈ 78′ | Sadness | 66 % | 38 % | 55 % | 49 % |
| 77.5 % | ≈ 84′ | Curiosity | 68 % | 41 % | 55 % | 51 % |
| 82.5 % | ≈ 89′ | Tension | 76 % | 38 % | 50 % | 68 % |
| 87.5 % | ≈ 95′ | Tension | 83 % | 38 % | 35 % | 61 % |
| 92.5 % | ≈ 100′ | Relief | 82 % | 47 % | 20 % | 33 % |
| 97.5 % | ≈ 105′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
Riches to rags
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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Cast
Dakota
Twin #1
Twin #2
Details
- Directed by
- Steven Brill
- Written by
- Kevin Barnett, Chris Pappas
- Type
- Movies
- Released
- 2016
- Runtime
- 108 min
- Country
- United States
- Ratings
- Feels mostly
- Humor
- Data updated
Where to watch
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





