Railroad Tigers
2016 · 124 min · Director: Sheng Ding, Ding Sheng
Show plot summary (may contain spoilers)
In December 1941, The railway from Tianjin to Nanjing in East China became a key military transportation route, heavily guarded by Japanese soldiers. Ma Yuan, a railroad worker and his group of freedom fighters find themselves on the wrong side of the tracks when they decide to ambush a heavily armed military train filled with desperately needed provisions. Unarmed and outnumbered, they must rely on their wits to battle an entire army.
Emotional fingerprint
Railroad Tigers (2016) — Movie. Top emotional signals: Humor 30%, Excitement 25%, Happiness 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Humor30%
- Excitement25%
- Happiness20%
- Love15%
- 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, Happiness. Genres: Comedy, Adventure, Action. AI estimate.
Is it worth watching?
Consider this title if you are looking for Humor, Excitement and Happiness. Its IMDb rating of 5.8/10 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
- Humor
- Excitement
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Humor
Dominant emotion: Sadness
Dominant emotion: Tension
Dominant emotion: Excitement
Dominant emotion: Hope
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Humor | Excitement |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Humor | 45 % | 18 % | 42 % | 22 % |
| 7.5 % | ≈ 9′ | Humor | 51 % | 25 % | 48 % | 25 % |
| 12.5 % | ≈ 16′ | Humor | 49 % | 35 % | 41 % | 21 % |
| 17.5 % | ≈ 22′ | Humor | 50 % | 41 % | 36 % | 19 % |
| 22.5 % | ≈ 28′ | Sadness | 57 % | 43 % | 33 % | 23 % |
| 27.5 % | ≈ 34′ | Sadness | 56 % | 39 % | 30 % | 25 % |
| 32.5 % | ≈ 40′ | Humor | 54 % | 39 % | 39 % | 30 % |
| 37.5 % | ≈ 47′ | Tension | 59 % | 50 % | 46 % | 40 % |
| 42.5 % | ≈ 53′ | Humor | 60 % | 53 % | 49 % | 38 % |
| 47.5 % | ≈ 59′ | Humor | 56 % | 46 % | 46 % | 31 % |
| 52.5 % | ≈ 65′ | Excitement | 58 % | 50 % | 36 % | 38 % |
| 57.5 % | ≈ 71′ | Tension | 61 % | 56 % | 29 % | 40 % |
| 62.5 % | ≈ 78′ | Hope | 63 % | 54 % | 36 % | 36 % |
| 67.5 % | ≈ 84′ | Humor | 65 % | 53 % | 48 % | 41 % |
| 72.5 % | ≈ 90′ | Excitement | 69 % | 60 % | 45 % | 54 % |
| 77.5 % | ≈ 96′ | Excitement | 72 % | 69 % | 33 % | 56 % |
| 82.5 % | ≈ 102′ | Tension | 76 % | 74 % | 25 % | 51 % |
| 87.5 % | ≈ 109′ | Tension | 79 % | 76 % | 28 % | 51 % |
| 92.5 % | ≈ 115′ | Tension | 78 % | 65 % | 36 % | 44 % |
| 97.5 % | ≈ 121′ | Humor | 72 % | 42 % | 50 % | 30 % |
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 Railroad Tigers. 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
Dahai
Fan Chuan
Xiaohu
Yuko
Huang Yifeng
Feng Banxian
Sakamoto
Sasaki
Xing'er
Kameda
Erpang
Sanlaizi
KId
Zhuzi
Details
- Directed by
- Sheng Ding, Ding Sheng
- Written by
- Sheng Ding, Keke He, Alex Jia, Ding Sheng, He Keke
- Type
- Movies
- Released
- 2016
- Runtime
- 124 min
- Country
- China
- Ratings
- Feels mostly
- Humor
- Data updated
Where to watch
Free
Rent
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