Sniper 3
2004 · 91 min · Director: P.J. Pesce
Show plot summary (may contain spoilers)
Sniper Thomas Beckett (Tom Berenger) is hired by NSA officials, William Avery (Denis Arndt) and Richard Addis (William Duffy) to perform a covert operation to eliminate a suspected terrorist. The terrorist turns out to be a friend of Beckett's and the real purpose of the mission turns out to be something other than what Beckett was told.
Emotional fingerprint
Sniper 3 (2004) — Movie. Top emotional signals: Tension 35%, Anxiety 25%, Anger 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Tension35%
- Anxiety25%
- Anger20%
- Sadness10%
- 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 Tension, Anxiety, Anger. Genres: Thriller, Drama, Action. AI estimate.
Is it worth watching?
Consider this title if you are looking for Tension, Anxiety and Anger. Its IMDb rating of 5.2/10 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?
Votes are saved to the fingerprint once you’re signed in.
Pick up to three · 0/3
Emotional journey
- Tension
- Curiosity
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Sadness
Dominant emotion: Curiosity
Dominant emotion: Relief
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Curiosity | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Tension | 58 % | 57 % | 25 % | 2 % |
| 7.5 % | ≈ 7′ | Tension | 48 % | 40 % | 25 % | 9 % |
| 12.5 % | ≈ 11′ | Sadness | 45 % | 31 % | 24 % | 25 % |
| 17.5 % | ≈ 16′ | Tension | 56 % | 44 % | 31 % | 36 % |
| 22.5 % | ≈ 20′ | Curiosity | 58 % | 48 % | 46 % | 31 % |
| 27.5 % | ≈ 25′ | Curiosity | 49 % | 41 % | 48 % | 21 % |
| 32.5 % | ≈ 30′ | Tension | 48 % | 43 % | 39 % | 25 % |
| 37.5 % | ≈ 34′ | Sadness | 52 % | 45 % | 33 % | 38 % |
| 42.5 % | ≈ 39′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 47.5 % | ≈ 43′ | Tension | 77 % | 75 % | 50 % | 35 % |
| 52.5 % | ≈ 48′ | Curiosity | 71 % | 65 % | 61 % | 28 % |
| 57.5 % | ≈ 52′ | Curiosity | 66 % | 56 % | 66 % | 28 % |
| 62.5 % | ≈ 57′ | Curiosity | 68 % | 61 % | 59 % | 25 % |
| 67.5 % | ≈ 61′ | Tension | 69 % | 68 % | 44 % | 18 % |
| 72.5 % | ≈ 66′ | Tension | 60 % | 59 % | 31 % | 13 % |
| 77.5 % | ≈ 71′ | Tension | 59 % | 56 % | 34 % | 15 % |
| 82.5 % | ≈ 75′ | Tension | 68 % | 58 % | 39 % | 28 % |
| 87.5 % | ≈ 80′ | Relief | 59 % | 35 % | 31 % | 29 % |
| 92.5 % | ≈ 84′ | Relief | 45 % | 17 % | 27 % | 18 % |
| 97.5 % | ≈ 89′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not 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 ↗
Kadri — your film companion
AIAsk anything about Sniper 3. From the film’s own dialogue and FeelDB data, at your spoiler level.
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
Richard Addis
Chu
Chinaman
Vietnamese Woman
Vietnamese Policeman
Vietnamese Policeman
Asian Bodyguard
Neil Finnegan
Jocelyn Finnegan
Li
Khan Choi
Taxi Driver
Hotel Clerk
Details
- Directed by
- P.J. Pesce
- Written by
- J.S. Cardone, Michael Frost Beckner (based on characters created by), Crash Leyland (based on characters created by), Ross Helford, Ross Helford
- Type
- Movies
- Released
- 2004
- Runtime
- 91 min
- Country
- USA
- Ratings
- Feels mostly
- Tension
- Data updated
Where to watch
Rent
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
