Liar Game

seriesGlobal2007
Updated last week
Last deep analysis: never
Popular Love
90
Signal Breakdown
Wiki Activity
Sentiment Consistency
Longevity of Affection
Social Sentiment
Fan Works
90-Day Trend
True Feel
79
Cult Favourite
--
Rising
--
Recommend
100
Reach Meter
0
Reach Breakdown
No data available
90-Day Reach Trend

1Core Metadata

Title & Origin
Canonical title
Liar Game
Original title
Not yet measured
Country
Not yet measured
Language
Not yet measured
Territory
Global
Release & Format
Format
film_tv
Release status
concluded
Release date
1/1/2007
Duration (min)
Not yet measured
Episodes
Not yet measured
Rights & Rating
Rating system
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Rating
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Licensing
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Distribution
Not yet measured
Volume count
Not yet measured
Network
Fuji TelevisionNetwork

2Content

Synopsis

Nao Kanzaki, is a college student who is known for her honesty and naivete. One day, she receives a black postcard indicating that she has been selected to participate in the "Liar Game Tournament". Along with the postcard is a box with 100 million yen. The goal of the first round of the game is to trick the other player out of their hundred million yen. At the end, the winner would get to keep the hundred million earned, and the loser owes the LGT 100 million yen, which "will be collected by any means and at all costs".

Tags & Format

Themes

dramathrillermystery

Tone

Not yet measured

Content Warnings

Not yet measured
Target age rating
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Content format
scripted_series
Awards

Not yet measured

3Commercial Metrics

Box Office
Box office
Not yet measured
Currency
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Original
Not yet measured
Revenue
Total revenue
Not yet measured
Revenue tier
Not yet measured
Awards
Not yet measured
Sales & Streams
Units sold
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Streams
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Rights
Rights status
Not yet measured
Distribution
Not yet measured
Revenue tier
Not yet measured

4Audience Intelligence

reddit
Score
65.2
Score count
6
Rank
5
Audience size
16,923
Last updated
6/11/2026

5Industry Links

TMDB tv/300126

tmdb

TVmaze

tvmaze

IMDb

imdb

TVDB

tvdb

6Community Sentiment

How people are talking about this IP — each row is a different signal: reviews, ratings or comments from one source.

Positive ≥0.6Mixed 0.4–0.6Negative <0.4
How sentiment scores are calculated