No Man's Land
2013 · 118 min · Director: Hao Ning, Ning Hao
Show plot summary (may contain spoilers)
A young lawyer from the city travels to the Gobi desert where he embarks on a series of adventures and challenges.
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Emotional fingerprint
No Man's Land (2013) — Movie. Top emotional signals: Tension 30%, Excitement 25%, Anxiety 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Tension30%
- Excitement25%
- Anxiety20%
- Surprise15%
- Humor10%
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, Excitement, Anxiety. Genres: Drama, Crime, Adventure. AI estimate.
Is it worth watching?
Consider this title if you are looking for Tension, Excitement and Anxiety. Its IMDb rating of 7.3/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 70/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Tension
- Sympathy
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Humor
Dominant emotion: Sympathy
Dominant emotion: Hope
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Sympathy | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Tension | 33 % | 25 % | 3 % | 3 % |
| 7.5 % | ≈ 9′ | Tension | 41 % | 35 % | 8 % | 9 % |
| 12.5 % | ≈ 15′ | Tension | 44 % | 39 % | 9 % | 10 % |
| 17.5 % | ≈ 21′ | Humor | 48 % | 44 % | 15 % | 8 % |
| 22.5 % | ≈ 27′ | Tension | 55 % | 49 % | 25 % | 8 % |
| 27.5 % | ≈ 32′ | Humor | 58 % | 45 % | 29 % | 10 % |
| 32.5 % | ≈ 38′ | Sympathy | 56 % | 45 % | 31 % | 14 % |
| 37.5 % | ≈ 44′ | Humor | 57 % | 52 % | 33 % | 13 % |
| 42.5 % | ≈ 50′ | Tension | 66 % | 65 % | 43 % | 19 % |
| 47.5 % | ≈ 56′ | Tension | 68 % | 65 % | 51 % | 28 % |
| 52.5 % | ≈ 62′ | Hope | 66 % | 61 % | 49 % | 23 % |
| 57.5 % | ≈ 68′ | Tension | 76 % | 73 % | 53 % | 28 % |
| 62.5 % | ≈ 74′ | Tension | 79 % | 76 % | 54 % | 35 % |
| 67.5 % | ≈ 80′ | Tension | 78 % | 75 % | 52 % | 28 % |
| 72.5 % | ≈ 86′ | Tension | 83 % | 80 % | 60 % | 26 % |
| 77.5 % | ≈ 91′ | Tension | 84 % | 83 % | 57 % | 25 % |
| 82.5 % | ≈ 97′ | Tension | 84 % | 84 % | 55 % | 28 % |
| 87.5 % | ≈ 103′ | Tension | 86 % | 83 % | 68 % | 48 % |
| 92.5 % | ≈ 109′ | Sympathy | 79 % | 57 % | 60 % | 49 % |
| 97.5 % | ≈ 115′ | Hope | 65 % | 23 % | 37 % | 28 % |
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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Cast
Driver B
Liu San (Falcon Buyer)
Liu Si (Falcon Buyer Underling)
Gas Station Boss
Gas Station Boss's Wife
Dumb Son
Officer Wang
Forest Police
Horsecart Driver
Horsecart Driver's Wife
Judge
Boss (voice)
Details
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





