Harbhajan Turbanator

Harbhajan Turbanator

@harbhajan_singh

Member of Parliament (Rajya Sabha) Proud father,🏏 Facebook: https://www.facebook.com/unsupportedbrowser Instagram: https://www.facebook.com/unsupportedbrowser

India https://www.youtube.com/channel/UCxpqYhKi9JpOx-B6Q20N4yQ Joined 2009-11-27 Date of Analysis: Dec 16, 2025

11,824,361

Followers

240

Following

11,363

Tweets

6,602.7

Avg Engagement

3,689

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @harbhajan_singh'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: Mega Influencer (1M+)
  • Account Age:2009-11-27
  • Verification:Yes
  • Location:India

Data Summary

  • Tweets Analyzed:3,236
  • Avg Likes per Tweet:5,902.5
  • Avg Retweets per Tweet:700.2
  • Followers Analyzed:50,000
  • Following Analyzed:25

Engagement Analysis

Based on 3,236 tweets

His tweets receive a substantial number of likes and retweets, indicating strong audience interaction. The high engagement suggests that his content is both relevant and impactful to his followers.

5,902.5

Avg Likes/Tweet

700.2

Avg Retweets/Tweet

19,100,552

Total Likes

2,265,903

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1,582

Median Likes

125

Median Retweets

7,957

75th Percentile

129,894

Top Tweet

0.56

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

49.9%

Original

2.3%

Replies

29.7%

Retweets

18.0%

Quotes

0.0%

Threads

0.0%

With Media

47.7%

With Links

32.8%

With #Tags

67.1%

With @Mentions

41.4%

With Emojis

127

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.05

Reply/Original Ratio

0.61

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

65.7%

Weekday Posts

34.3%

Weekend Posts

Top Hashtags

#ipl2022 (116) #covid19 (43) #teamindia (32) #losliya (29) #friendshipmovie (27) #kkr (22) #friendship (21) #onthisday (15) #indveng (15) #indvseng (14)

Most Mentioned

@harbhajan_singh (171) @bcci (103) @kkriders (93) @ipl (87) @bhagwantmann (68) @vikrantgupta73 (65) @chennaiipl (64) @mipaltan (58) @starsportsindia (52) @imvkohli (41)

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Content Strategy Analysis

Based on 3,236 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,616 (50%)
Replies 75 (2%)
Retweets 961 (30%)
Quote Tweets 584 (18%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 961 retweets (30% 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 3,236 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 cricket fans and Indian citizens interested in politics and social issues. The content resonates with those who value national pride and sportsmanship.

Below Average

Audience Quality

44.6%

Suspicion Index

64.7%

Low-Quality %

2

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

74.1%

Empty Bio

73.0%

<10 Tweets

1.6%

Mass Following (>2K)

0.0%

New (<90 days)

88.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

96.8%

No URL

55.3%

<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.

4,924,417

Total Potential Reach

2

Median Follower Reach

8

75th Percentile Reach

0.5%

>1K followers

0.1%

>10K followers

0.0%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

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

9.3%

Creators

4,651 accounts

17.7%

Consumers

8,857 accounts

73.0%

Dormant

36,492 accounts

81

Verified Followers

0.16% of total

1.8%

Professional Bios

founder, dev, analyst, etc.

0.02

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):

India (577) New Delhi, India (296) Mumbai, India (223) Uttar Pradesh, India (163) Hyderabad, India (150) Kolkata, India (147) Bengaluru, India (137) Bihar, India (126) Pune, India (99) Chennai, India (99)

117

Verified Followers

0.12% of total

4,883

Protected Accounts

4.83% of total

1 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
@pragyanojha 1,722,736 Cricket Analyst Cricket, Spin, IPL
@TansuYegen 1,332,024 Author technology, RPA, artificialIntelligence
@Tiny_Dhillon 333,441 - -
@CricCrazyJohns 284,944 Cricket Fan Cricket, IPL, Collaborations
@ramansundar 262,995 Sports Business Cricket NFT, Sports, Technology
@SSscoop475 241,441 Activist World Peace, Civil Rights, Tibetan Buddhism
@noconversion 237,931 Activist Hinduism, Anti-conversion, Satire
@BwoodKhabri09 176,315 - -
@SRazaB24 138,845 Cricketer Cricket, Sports, Instagram
@_VishwajitPatil 122,887 - -

Top Keywords in Follower Bios

cricket (1,562) love (1,292) student (1,197) life (992) indian (774) lover (768) india (614) proud (492) follow (404) engineer (395)

Top Hashtags in Follower Bios

#cricket (41) #student (24) #indian (13) #rcb (12) #viratkohli (12) #म (11) #india (11) #स (10) #र (10) #csk (9)

26,173

Followers With Bio

74,821

Followers Without Bio

25.92%

% With Bio

74.08%

% 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 3,236 analyzed

594,997

Combined Engagement

537,885

Total Likes

57,112

Total Retweets

118,999

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

60%

With @Mentions

20%

With Links

Topical Analysis:

Cricket Nationalism Sportsmanship Politics Accountability

Network & Following Analysis

Based on 25 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

0.0%

Verified Accounts

0.0%

High Authority (>50K)

84.0%

Dormant Accounts

56.0%

Low Quality

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

100.0%

Individuals

25 accounts

0.0%

Brands/Orgs

0 accounts

0.0%

Media/News

0 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Avinash kr. Kajaria 23 - -
@ AsliNaam_Definite 16 - -
@ karthik karthik 2 - -
@ Panku Pankaj Singh Rawat 1 - -
@ muthu kumar 1 - -
@ Divendra Nakka 1 - -
@ Dhanesh 1 - -
@ Dr. ALI NAHDI YASHIN 1 - -
@ GAYASUL AZAM 1 - -
@ Manju Vijay 1 - -

Key Insights & Takeaways

He uses cricket as a platform to express national pride and call out perceived injustices in the sport. His tweets often highlight the importance of young talent and question the selection of players in international matches. He frequently engages with his audience by asking rhetorical questions and encouraging debate.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 11,824,361
  • + Strong original content creation
  • + 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 @harbhajan_singh reveals an exceptionally influential Twitter presence with 11,824,361 followers. The account demonstrates a content-creator strategy, averaging 6,602.7 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