feeldb

L.O.R.D: Legend of Ravaging Dynasties

2016 · 113 min · Director: Jingming Guo, Edward Guo ★ IMDb 5.1 · 1,478 ratings

Show plot summary (may contain spoilers)

An orphan becomes the disciple of a powerful sorcerer and is drawn into a larger conflict among the world's magical elite.

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Emotional fingerprint

L.O.R.D: Legend of Ravaging Dynasties (2016) — Movie. Top emotional signals: Awe 30%, Excitement 25%, Confusion 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Awe30%

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 Awe, Excitement, Confusion. Genres: Adventure, Action, Animation. AI estimate.

Is it worth watching?

Consider this title if you are looking for Awe, Excitement and Confusion. Its IMDb rating of 5.1/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 57/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Tension
  • Curiosity
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Sadness

Dominant emotion: Awe

Dominant emotion: Humor

Dominant emotion: Tension

Tension
Curiosity
Sadness
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 8 %, then peaks around 78 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionCuriositySadness
2.5 %≈ 3′Curiosity52 %41 %47 %20 %
7.5 %≈ 8′Curiosity50 %42 %48 %9 %
12.5 %≈ 14′Curiosity51 %37 %51 %3 %
17.5 %≈ 20′Curiosity55 %35 %45 %17 %
22.5 %≈ 25′Sadness59 %38 %38 %31 %
27.5 %≈ 31′Awe56 %31 %40 %16 %
32.5 %≈ 37′Humor52 %30 %41 %3 %
37.5 %≈ 42′Curiosity56 %47 %39 %9 %
42.5 %≈ 48′Tension66 %63 %37 %18 %
47.5 %≈ 54′Tension67 %61 %46 %21 %
52.5 %≈ 59′Curiosity62 %50 %55 %13 %
57.5 %≈ 65′Tension62 %54 %56 %10 %
62.5 %≈ 71′Curiosity69 %64 %49 %18 %
67.5 %≈ 76′Tension75 %72 %35 %23 %
72.5 %≈ 82′Tension77 %76 %35 %26 %
77.5 %≈ 88′Tension77 %76 %40 %38 %
82.5 %≈ 93′Tension76 %67 %43 %54 %
87.5 %≈ 99′Curiosity69 %51 %57 %52 %
92.5 %≈ 105′Curiosity64 %45 %64 %44 %
97.5 %≈ 110′Sadness62 %45 %58 %45 %
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

AI

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Afterward 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

Fan Bingbing

Guishan Lian Quan

KW
Kris Wu

CX
Chen Xuedong

Qi Ling

CC
Cheney Chen

KW
Kris Wu

Yin Chen

AK
Amber Kuo Tsai-Chieh

Thalia

WC
William Chan

You Ming

YM
Yang Mi

Shen Yin

LY
Lin Yun

Tianshu You Hua

AR
Aarif Rahman

Ni Hong

KY
Kevin Yan Yikuan

RW
Roy Wang

WD
Wang Duo

XW
Xiao Wei

Priestess

EG
Edward Guo

ZS
Zhang Sifan

RC
Randy Che

Details

Directed by
Jingming Guo, Edward Guo
Written by
Jingming Guo, Edward Guo
Type
Animation
Released
2016
Runtime
113 min
Country
China, Cambodia
Ratings
★ IMDb 5.1 · 1,478 ratings
Feels mostly
Awe
Data updated

Where to watch

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.