水谷隼🏓Jun Mizutani

水谷隼🏓Jun Mizutani

@Mizutani__Jun

元プロ卓球選手。 座右の銘 「強者であり、弱者であれ」 著者「打ち返す力・最強のメンタルを手に入れろ」https://www.amazon.co.jp/%25E6%2589%2593%25E3%2581%25A1%25E8%25BF%2594%25E3%2581%2599%25E5%258A%259B-%25E6%259C%2580%25E5%25BC%25B7%25E3%2581%25AE%25E3%2583%25A1%25E3%2583%25B3%25E3%2582%25BF%25E3%2583%25AB%25E3%2582%2592%25E6%2589%258B%25E3%2581%25AB%25E5%2585%25A5%25E3%2582%258C%25E3%2582%258D-%25E6%25B0%25B4%25E8%25B0%25B7-%25E9%259A%25BC/dp/4065261325 インスタ始めました🏓https://www.facebook.com/unsupportedbrowser

Joined 2015-01-02 Date of Analysis: Dec 16, 2025

252,899

Followers

637

Following

5,631

Tweets

4,366.3

Avg Engagement

838

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Mizutani__Jun's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2015-01-02
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,246
  • Avg Likes per Tweet:1,227.9
  • Avg Retweets per Tweet:3,138.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,246 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.

1,227.9

Avg Likes/Tweet

3,138.4

Avg Retweets/Tweet

3,985,672

Total Likes

10,187,184

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

121

Median Likes

32

Median Retweets

1,039

75th Percentile

3,681,148

Top Tweet

17.26

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

36.4%

Original

36.5%

Replies

21.7%

Retweets

5.4%

Quotes

0.0%

Threads

0.0%

With Media

48.7%

With Links

15.3%

With #Tags

56.5%

With @Mentions

72.9%

With Emojis

72

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.01

Reply/Original Ratio

0.25

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

66.2%

Weekday Posts

33.8%

Weekend Posts

Top Hashtags

#水谷隼 (228) #卓球 (66) #テレ東卓球塾 (38) #武井壮 (20) #tbs (18) #水谷隼クイズ (16) #テレビ東京 (15) #世界卓球 (13) #卓球ジャパン (12) #bsテレ東 (11)

Most Mentioned

@mizutani__jun (62) @kiokio_coc (61) @0803_maharu (57) @kenji19890406 (52) @kent_golemeshi (49) @tvtokyo_tt (40) @m_jun_staff (38) @takurepo (36) @txttjyuku (34) @yutokizu1022 (34)

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Content Strategy Analysis

Based on 3,246 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,180 (36%)
Replies 1,186 (37%)
Retweets 706 (22%)
Quote Tweets 174 (5%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 706 retweets (22% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,246 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

His audience primarily consists of sports enthusiasts and individuals interested in mental training and personal development.

Average

Audience Quality

20.8%

Suspicion Index

27.5%

Low-Quality %

28

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

39.2%

Empty Bio

23.1%

<10 Tweets

6.7%

Mass Following (>2K)

0.0%

New (<90 days)

45.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.4%

No URL

15.8%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

52,865,907

Total Potential Reach

28

Median Follower Reach

151

75th Percentile Reach

4.5%

>1K followers

0.5%

>10K followers

0.2%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

58.6%

Creators

29,322 accounts

18.2%

Consumers

9,107 accounts

23.1%

Dormant

11,571 accounts

132

Verified Followers

0.26% of total

0.3%

Professional Bios

founder, dev, analyst, etc.

0.12

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

日本 (1,486) Japan (485) 日本 東京 (294) 東京 (271) 東京都 (210) 北海道 (120) Tokyo (116) Tokyo-to, Japan (115) 大阪 (114) 日本 大阪 (92)

299

Verified Followers

0.3% of total

21,847

Protected Accounts

21.63% of total

6 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@hajimesyacho 5,477,143 YouTuber Comedy, Vlogs, Pranks
@hirox246 2,384,264 Author Books, Comedy, Effort
@MINAMI373HAMABE 2,275,155 Actress Detective Conan, Kakegurui, Drama
@enako_cos 2,043,951 Cosplayer 田村ゆかり, FPS, 音ゲー
@aimyonGtter 1,698,963 Singer Music, Bright, Aimyong
@ndahoFischers 1,465,133 YouTuber music, comedy, family
@jfa_samuraiblue 1,331,659 Soccer Player soccer, Japan national team, Tokyo 2020
@SeikinTV 1,258,949 YouTuber Music, YouTube, Songwriting
@fuwa876 1,109,962 Influencer Justin Bieber, YouTube, Fuwa-chan
@shoko55mmts 905,368 YouTuber cats, gaming, anime songs

Top Keywords in Follower Bios

twitter (934) dm (659) love (587) youtube (543) rt (481) w (323) apex (313) b (295) line (253) f (249)

Top Hashtags in Follower Bios

#ハ (184) #フ (143) #ホ (120) #シ (77) #ト (75) #卓球 (62) #ヒ (58) #タ (56) #フォロハ (50) #カ (47)

66,236

Followers With Bio

34,754

Followers Without Bio

65.59%

% With Bio

34.41%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,246 analyzed

9,041,704

Combined Engagement

749,846

Total Likes

8,291,858

Total Retweets

1,808,341

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

60%

With @Mentions

0%

With Links

Topical Analysis:

Motivation Sports Personal Development Mental Strength Emotional Expression
水谷隼🏓Jun Mizutani
@Mizutani__Jun

RT @yousuck2020: ZOZOTOWN新春セールが史上最速で取扱高100億円を先ほど突破!!日頃の感謝を込め、僕個人から100名様に100万円【総額1億円のお年玉】を現金でプレゼントします。応募方法は、僕をフォローいただいた上、このツイートをRTするだけ。受付は1/…

2019-01-05
Retweets: 3,681,148 Likes: 0 Engagement: 3,681,148
水谷隼🏓Jun Mizutani
@Mizutani__Jun

RT @yousuck2020: 🎍謹賀新年🎍 【総額10億円】#前澤お年玉 100万円を1000人にプレゼントします! 100万円で皆さまの人生がよりハッピーになりますように。 応募方法は僕のフォローとこのツイートのリツイート。締切は1月7日23:59まで。 企画趣旨…

2020-01-07
Retweets: 2,908,799 Likes: 0 Engagement: 2,908,799
水谷隼🏓Jun Mizutani
@Mizutani__Jun

RT @hikakin: #ヒカキンサンタ のプレゼント🎅🎄🎁 わたくしヒカキンをフォロー&amp;この投稿をリツイートで【総額1,000万円分】iPhone 13が103名様に当たります🎉🤣🎊 応募締切は12/25(土)23:59まで! 詳しくはYouTube動画とこのツイートの…

2021-12-19
Retweets: 1,644,426 Likes: 0 Engagement: 1,644,426
水谷隼🏓Jun Mizutani
@Mizutani__Jun

ありえねぇだろ〜🥇🇯🇵😭

2021-07-26
Retweets: 40,538 Likes: 519,870 Engagement: 560,408
水谷隼🏓Jun Mizutani
@Mizutani__Jun

明日にこの5年間の全てを賭ける🏓🏅

2021-07-24
Retweets: 16,947 Likes: 229,976 Engagement: 246,923

Key Insights & Takeaways

His content often highlights personal triumphs and emotional moments, which resonate deeply with followers. He uses a mix of motivational language and personal storytelling to connect with his audience. His verified status is low, suggesting a more organic and authentic online presence.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 252,899
  • + High community engagement through conversations
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @Mizutani__Jun reveals an exceptionally influential Twitter presence with 252,899 followers. The account demonstrates a conversation-first approach, averaging 4,366.3 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025