Venus Wars
1989 · 102 min · Director: Kôichi Chigira, Yoshikazu Yasuhiko
Show plot summary (may contain spoilers)
The new frontier of Venus has degenerated into a dystopia ravaged by the civil war between Ishtar and Aphrodia. Bubbly reporter Susan Sommers arrives in the capitol of Aphrodia just before it's captured by Ishtar. She falls in with a bunch of teen-agers who live for a sort of motorcycle version of Roller Derby. Daredevil rider Hiro and his friends reluctantly join the struggle to free Aphrodia from the invaders. Not surprisingly, Hiro proves an ace at piloting the mono-cycles that are the Aphrodians' secret weapon in the key battle.
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Emotional fingerprint
Venus Wars (1989) — Movie. Top emotional signals: Excitement 35%, Tension 25%, Fear 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Excitement35%
- Tension25%
- Fear15%
- Inspiration15%
- Awe10%
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, Tension, Fear. Genres: Drama, Action, Animation. AI estimate.
Is it worth watching?
Consider this title if you are looking for Excitement, Tension and Fear. Its IMDb rating of 6.6/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 64/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Tension
- Excitement
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Excitement
Dominant emotion: Sadness
Dominant emotion: Hope
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Excitement | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Tension | 45 % | 35 % | 33 % | 13 % |
| 7.5 % | ≈ 8′ | Excitement | 57 % | 46 % | 45 % | 14 % |
| 12.5 % | ≈ 13′ | Tension | 68 % | 61 % | 50 % | 15 % |
| 17.5 % | ≈ 18′ | Tension | 60 % | 56 % | 36 % | 19 % |
| 22.5 % | ≈ 23′ | Tension | 56 % | 52 % | 23 % | 27 % |
| 27.5 % | ≈ 28′ | Tension | 64 % | 63 % | 28 % | 27 % |
| 32.5 % | ≈ 33′ | Tension | 63 % | 59 % | 29 % | 25 % |
| 37.5 % | ≈ 38′ | Sadness | 55 % | 44 % | 20 % | 35 % |
| 42.5 % | ≈ 43′ | Sadness | 56 % | 44 % | 26 % | 36 % |
| 47.5 % | ≈ 48′ | Tension | 68 % | 61 % | 44 % | 24 % |
| 52.5 % | ≈ 54′ | Tension | 79 % | 76 % | 54 % | 20 % |
| 57.5 % | ≈ 59′ | Tension | 73 % | 69 % | 48 % | 21 % |
| 62.5 % | ≈ 64′ | Excitement | 60 % | 56 % | 43 % | 18 % |
| 67.5 % | ≈ 69′ | Tension | 64 % | 61 % | 46 % | 24 % |
| 72.5 % | ≈ 74′ | Tension | 71 % | 66 % | 43 % | 41 % |
| 77.5 % | ≈ 79′ | Tension | 74 % | 66 % | 36 % | 48 % |
| 82.5 % | ≈ 84′ | Tension | 78 % | 73 % | 44 % | 39 % |
| 87.5 % | ≈ 89′ | Tension | 79 % | 75 % | 55 % | 28 % |
| 92.5 % | ≈ 94′ | Hope | 69 % | 52 % | 43 % | 24 % |
| 97.5 % | ≈ 99′ | Hope | 57 % | 23 % | 22 % | 27 % |
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
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Cast
Miranda
Tao
Cathy
Jack
Manuel
Kenny
Details
- Directed by
- Kôichi Chigira, Yoshikazu Yasuhiko
- Written by
- Yoshikazu Yasuhiko, Yuichi Sasamoto
- Type
- Animation
- Released
- 1989
- Runtime
- 102 min
- Country
- Japan
- Ratings
- Feels mostly
- Excitement
- Data updated
Where to watch
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





