Detective Chinatown 3
2021 · 136 min · Director: Sicheng Chen, Chen Sicheng
Show plot summary (may contain spoilers)
A major crime occurs in Tokyo when detectives Tang Ren and Qin Feng are invited to investigate the crime. A battle between the strongest detectives in Asia is about to break out with bursts of laughter.
Your viewing check-in
Emotional fingerprint
Detective Chinatown 3 (2021) — Movie. Top emotional signals: Humor 35%, Confusion 25%, Excitement 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Humor35%
- Confusion25%
- Excitement20%
- Surprise10%
- Anticipation10%
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, Confusion, Excitement. Genres: Comedy, Adventure, Action. AI estimate.
Is it worth watching?
Consider this title if you are looking for Humor, Confusion and Excitement. 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 61/100.
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
- Curiosity
- Tension
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Humor
Dominant emotion: Curiosity
Dominant emotion: Tension
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Curiosity | Tension | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Humor | 48 % | 38 % | 22 % | 7 % |
| 7.5 % | ≈ 10′ | Humor | 54 % | 46 % | 31 % | 4 % |
| 12.5 % | ≈ 17′ | Curiosity | 59 % | 57 % | 38 % | 5 % |
| 17.5 % | ≈ 24′ | Curiosity | 57 % | 59 % | 35 % | 8 % |
| 22.5 % | ≈ 31′ | Humor | 55 % | 45 % | 34 % | 5 % |
| 27.5 % | ≈ 37′ | Humor | 56 % | 38 % | 39 % | 1 % |
| 32.5 % | ≈ 44′ | Curiosity | 59 % | 49 % | 48 % | 3 % |
| 37.5 % | ≈ 51′ | Curiosity | 64 % | 53 % | 57 % | 9 % |
| 42.5 % | ≈ 58′ | Tension | 66 % | 48 % | 60 % | 10 % |
| 47.5 % | ≈ 65′ | Curiosity | 69 % | 51 % | 63 % | 9 % |
| 52.5 % | ≈ 71′ | Tension | 74 % | 56 % | 69 % | 13 % |
| 57.5 % | ≈ 78′ | Curiosity | 73 % | 64 % | 65 % | 11 % |
| 62.5 % | ≈ 85′ | Curiosity | 70 % | 70 % | 61 % | 8 % |
| 67.5 % | ≈ 92′ | Curiosity | 66 % | 64 % | 60 % | 8 % |
| 72.5 % | ≈ 99′ | Tension | 65 % | 61 % | 59 % | 8 % |
| 77.5 % | ≈ 105′ | Curiosity | 73 % | 73 % | 63 % | 15 % |
| 82.5 % | ≈ 112′ | Curiosity | 81 % | 69 % | 63 % | 43 % |
| 87.5 % | ≈ 119′ | Sadness | 80 % | 49 % | 53 % | 63 % |
| 92.5 % | ≈ 126′ | Curiosity | 70 % | 42 % | 42 % | 53 % |
| 97.5 % | ≈ 133′ | 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 Detective Chinatown 3. From the film’s own dialogue and FeelDB data, at your spoiler level.
Kadri
Hi, I’m Kadri. Ask me anything about Detective Chinatown 3 — I’ll stay inside your spoiler line.
Premise onlyAfterward 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
Kiko
Lin Mo
Lu Jingjing
Kawamura Yoshiko / Kawamura Haruko
Young Kobayashi Anna
Liu Feng
Money Withdarwing Man-In-Suits
Details
- Directed by
- Sicheng Chen, Chen Sicheng
- Written by
- Sicheng Chen, Wusi Liu, Nomy Xu, Chen Sicheng, Yan Yining, Zhang Chun
- Type
- Movies
- Released
- 2021
- Runtime
- 136 min
- Country
- China
- Ratings
- Feels mostly
- Humor
- Data updated
Where to watch
Subscription
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





