Hooked
2009 · 97 min · Director: Pavel Sanaev
Show plot summary (may contain spoilers)
After a stunning victory at a cyber sport tournament, the winning gamers are awarded CDs with a brand new game. After playing this game, each of them is affected with some force, turning their gaming abilities into real ones. They each become the best fighters, shooters and racers in real life. However, this does not go unnoticed. Through blackmail, cheating and bribes, authorities offer the gamers a "job". But as soon as the lies are revealed it becomes clear that they are not heroes saving their country but nothing more than paid assassins. Moreover, the producer of the game is keeping many more of the same CDs, so many more "heroes" like themselves could also be produced. Now the gamers have to find the CDs and either destroy them or create an army of gamers and rule over all. The team becomes divided into two, each pitted against the other.
Emotional fingerprint
Hooked (2009) — Movie. Top emotional signals: Excitement 30%, Anxiety 25%, Fear 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Excitement30%
- Anxiety25%
- Fear20%
- Surprise15%
- Tension10%
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, Anxiety, Fear. Genres: Drama, Action, Sci-Fi. AI estimate.
Is it worth watching?
Consider this title if you are looking for Excitement, Anxiety and Fear. Its IMDb rating of 5.6/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 60/100.
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
- Disturbing
- Curiosity
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Curiosity
Dominant emotion: Excitement
Dominant emotion: Tension
Dominant emotion: Disturbing
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Disturbing | Curiosity |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Curiosity | 48 % | 27 % | 3 % | 32 % |
| 7.5 % | ≈ 7′ | Excitement | 51 % | 23 % | 2 % | 25 % |
| 12.5 % | ≈ 12′ | Curiosity | 45 % | 16 % | 4 % | 31 % |
| 17.5 % | ≈ 17′ | Curiosity | 45 % | 22 % | 9 % | 39 % |
| 22.5 % | ≈ 22′ | Tension | 49 % | 35 % | 19 % | 39 % |
| 27.5 % | ≈ 27′ | Curiosity | 56 % | 46 % | 26 % | 44 % |
| 32.5 % | ≈ 32′ | Tension | 65 % | 60 % | 28 % | 39 % |
| 37.5 % | ≈ 36′ | Tension | 70 % | 65 % | 38 % | 30 % |
| 42.5 % | ≈ 41′ | Disturbing | 65 % | 54 % | 46 % | 39 % |
| 47.5 % | ≈ 46′ | Curiosity | 57 % | 43 % | 35 % | 51 % |
| 52.5 % | ≈ 51′ | Curiosity | 61 % | 52 % | 38 % | 50 % |
| 57.5 % | ≈ 56′ | Tension | 73 % | 69 % | 58 % | 43 % |
| 62.5 % | ≈ 61′ | Tension | 72 % | 69 % | 59 % | 40 % |
| 67.5 % | ≈ 65′ | Tension | 64 % | 60 % | 46 % | 37 % |
| 72.5 % | ≈ 70′ | Tension | 71 % | 69 % | 47 % | 35 % |
| 77.5 % | ≈ 75′ | Tension | 85 % | 84 % | 63 % | 33 % |
| 82.5 % | ≈ 80′ | Tension | 91 % | 89 % | 75 % | 28 % |
| 87.5 % | ≈ 85′ | Tension | 92 % | 89 % | 77 % | 27 % |
| 92.5 % | ≈ 90′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 97.5 % | ≈ 95′ | 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 ↗
Kadri — your film companion
AIAsk anything about Hooked. 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
Vampire
Doc
Lena
Sergei Zaritsyn
Mosquito
Long
Yan
Max
Lebedev
Skolsky
Lebedev's assistant
Details
- Directed by
- Pavel Sanaev
- Written by
- Pavel Sanaev, Aleksandr Chubaryan
- Type
- Movies
- Released
- 2009
- Runtime
- 97 min
- Country
- Russia
- Ratings
- Feels mostly
- Excitement
- Data updated
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
