Yuzvendra Chahal
Indian Cricketer 🇮🇳 | Rajasthan Royals | For Business Enquiries E-mail : [email protected]
3,789,041
Followers
310
Following
4,162
Tweets
5,223.8
Avg Engagement
768
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @yuzi_chahal'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:2011-12-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:4,673.6
- Avg Retweets per Tweet:550.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,227 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is relatable and emotionally engaging, contributing to high engagement rates.
4,673.6
Avg Likes/Tweet
550.2
Avg Retweets/Tweet
15,081,625
Total Likes
1,775,565
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
7
Median Retweets
1,224
75th Percentile
554,073
Top Tweet
1.38
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
53.9%
Original
20.6%
Replies
21.2%
Retweets
4.4%
Quotes
0.0%
Threads
0.2%
With Media
36.4%
With Links
36.2%
With #Tags
53.7%
With @Mentions
32.4%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,227 tweetsContent Type Distribution
Content Breakdown
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 684 retweets (21% 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 3,227 tweetsEngagement 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 followersHis audience includes cricket fans, especially those interested in Indian cricket and the Rajasthan Royals. It also includes family and friends who follow his personal updates.
Below Average
Audience Quality
47.5%
Suspicion Index
71.7%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
78.0%
Empty Bio
81.0%
<10 Tweets
0.9%
Mass Following (>2K)
0.0%
New (<90 days)
91.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.5%
No URL
65.3%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
2,295,944
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.3%
>1K followers
0.0%
>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).
6.1%
Creators
3,071 accounts
12.8%
Consumers
6,418 accounts
81.0%
Dormant
40,511 accounts
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):
74
Verified Followers
0.07% of total
9,877
Protected Accounts
9.78% 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 |
|---|---|---|---|
| @RailaOdinga | 4,265,542 | Politician | Politics, Infrastructure, Africa |
| @ArianaNews_ | 417,704 | News Network | News, Current Affairs, Television |
| @FIAFormulaE | 315,260 | Motorsport | Electric racing, Net zero carbon, Global |
| @SSscoop475 | 241,477 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @AgataCentasso | 88,909 | - | - |
| @kaviya_00 | 85,721 | - | - |
| @Deepti_Sharma06 | 72,584 | - | - |
| @iamsktiwarii | 72,479 | Film Producer | Films, Ad Films, Music |
| @anitada23854181 | 58,138 | - | - |
| @Sam_RockyEdits | 52,443 | Editor | Cricket, Editing, Friendship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
23,521
Followers With Bio
77,476
Followers Without Bio
23.29%
% With Bio
76.71%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,227 analyzed1,330,141
Combined Engagement
731,315
Total Likes
598,826
Total Retweets
266,028
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
We said “Yes” along with our families❤️ #rokaceremony https://t.co/Sf4t7bIgQt
We are so proud of you @MdShami11 bhaiya 🇮🇳
22.12.20 💍 We started at “Once Upon A Time” and found “Our Happily Ever After,” coz’ finally, #DhanaSaidYuz for infinity & beyond! https://t.co/h7k3G3QrYx
Extremely happy & blessed ❤️ https://t.co/yMlQYomCe9
Key Insights & Takeaways
His tweets often highlight personal and family milestones, which create an emotional connection with followers. He uses hashtags effectively to increase visibility and engagement. His content is a mix of personal achievements and cricket-related updates, appealing to a broad audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,789,041
- + 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 @yuzi_chahal reveals an exceptionally influential Twitter presence with 3,789,041 followers. The account demonstrates a content-creator strategy, averaging 5,223.8 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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