Emotional fingerprint
Yu-Gi-Oh!: The Dark Side of Dimensions (2016) — Movie. Top emotional signals: Excitement 35%, Nostalgia 25%, Love 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Excitement35%
- Nostalgia25%
- Love20%
- Surprise10%
- 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 Excitement, Nostalgia, Love. Genres: Drama, Adventure, Animation. AI estimate.
Is it worth watching?
Consider this title if you are looking for Excitement, Nostalgia and Love. Its IMDb rating of 6.8/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 67/100.
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
- Excitement
- Curiosity
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Humor
Dominant emotion: Curiosity
Dominant emotion: Excitement
Dominant emotion: Tension
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Excitement | Curiosity |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Humor | 43 % | 23 % | 13 % | 30 % |
| 7.5 % | ≈ 10′ | Curiosity | 52 % | 40 % | 26 % | 39 % |
| 12.5 % | ≈ 16′ | Excitement | 59 % | 50 % | 41 % | 43 % |
| 17.5 % | ≈ 23′ | Curiosity | 58 % | 46 % | 39 % | 45 % |
| 22.5 % | ≈ 29′ | Tension | 61 % | 54 % | 41 % | 43 % |
| 27.5 % | ≈ 36′ | Excitement | 66 % | 60 % | 57 % | 36 % |
| 32.5 % | ≈ 42′ | Excitement | 64 % | 48 % | 59 % | 41 % |
| 37.5 % | ≈ 49′ | Curiosity | 62 % | 44 % | 41 % | 51 % |
| 42.5 % | ≈ 55′ | Tension | 72 % | 64 % | 24 % | 53 % |
| 47.5 % | ≈ 62′ | Tension | 80 % | 76 % | 19 % | 45 % |
| 52.5 % | ≈ 68′ | Sadness | 72 % | 66 % | 20 % | 41 % |
| 57.5 % | ≈ 75′ | Curiosity | 61 % | 51 % | 30 % | 43 % |
| 62.5 % | ≈ 81′ | Excitement | 63 % | 51 % | 51 % | 36 % |
| 67.5 % | ≈ 88′ | Tension | 71 % | 63 % | 60 % | 28 % |
| 72.5 % | ≈ 94′ | Tension | 72 % | 63 % | 60 % | 24 % |
| 77.5 % | ≈ 101′ | Excitement | 72 % | 59 % | 65 % | 26 % |
| 82.5 % | ≈ 107′ | Excitement | 77 % | 69 % | 68 % | 33 % |
| 87.5 % | ≈ 114′ | Tension | 85 % | 80 % | 70 % | 33 % |
| 92.5 % | ≈ 120′ | Excitement | 81 % | 74 % | 65 % | 36 % |
| 97.5 % | ≈ 127′ | Curiosity | 68 % | 60 % | 52 % | 47 % |
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 ↗
Kadri — your film companion
AIAsk anything about Yu-Gi-Oh!: The Dark Side of Dimensions. 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
Tea Gardner (voice)
Aigami (voice)
Solomon Moto (voice)
Details
- Directed by
- Satoshi Kuwabara
- Written by
- Kazuki Takahashi, Masahiro Hikokubo, Satoshi Kuwabara
- Type
- Animation
- Released
- 2016
- Runtime
- 130 min
- Country
- Japan
- Ratings
- Feels mostly
- Excitement
- Data updated
Where to watch
Also on
Availability varies by country
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
