Hazratullah Zazai-3 🇦🇫
cricket player at 🇦🇫 national team. fearless zazai3
84,524
Followers
155
Following
252
Tweets
597.0
Avg Engagement
31
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @zazai_3'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: Mid-Tier (10K+)
- Account Age:2013-03-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:236
- Avg Likes per Tweet:539.7
- Avg Retweets per Tweet:57.3
- Followers Analyzed:10,999
Engagement Analysis
Based on 236 tweetsHis tweets receive an average of 7,650 likes and 190 retweets, showing strong audience interaction. The verified status is low, suggesting a large portion of his followers are not verified accounts.
539.7
Avg Likes/Tweet
57.3
Avg Retweets/Tweet
127,365
Total Likes
13,519
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
298
75th Percentile
20,319
Top Tweet
7.06
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
41.1%
Original
3.0%
Replies
52.5%
Retweets
3.4%
Quotes
0.0%
Threads
5.9%
With Media
91.9%
With Links
30.9%
With #Tags
64.0%
With @Mentions
42.8%
With Emojis
131
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 236 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 124 retweets (53% 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 236 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 10,999 followersHis audience primarily consists of cricket enthusiasts and fans of the Afghan national team. The engagement is high, indicating a strong and loyal following.
Below Average
Audience Quality
39.5%
Suspicion Index
52.9%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.2%
Empty Bio
61.8%
<10 Tweets
2.9%
Mass Following (>2K)
0.0%
New (<90 days)
78.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.0%
No URL
37.6%
<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.
2,638,502
Total Potential Reach
7
Median Follower Reach
28
75th Percentile Reach
1.0%
>1K followers
0.2%
>10K followers
0.1%
>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).
11.3%
Creators
1,244 accounts
26.9%
Consumers
2,956 accounts
61.8%
Dormant
6,799 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):
9
Verified Followers
0.08% of total
792
Protected Accounts
7.2% 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 |
|---|---|---|---|
| @M_IrfanOfficial | 534,232 | Cricketer | Cricket, Pakistan, SayaCorporation |
| @mobeenkhan1231 | 509,761 | General | General, WhatsApp, Telegram |
| @CPL | 302,288 | Cricketer | Cricket, T20, Caribbean |
| @HikmatAmarkhill | 137,916 | - | - |
| @MuslimUmmah63 | 103,739 | - | - |
| @khanadan99 | 78,232 | - | - |
| @HabibKamran2020 | 64,839 | - | - |
| @Mashalgul | 54,046 | Politician | Writing, Poetry, Peace |
| @sadiqarin | 28,372 | - | - |
| @galia_rana | 24,477 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,497
Followers With Bio
7,502
Followers Without Bio
31.79%
% With Bio
68.21%
% 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 236 analyzed56,528
Combined Engagement
55,367
Total Likes
1,161
Total Retweets
11,306
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
Next stop ✋🏻 @PeshawarZalmi https://t.co/eqcFsOZgUj
Color Doesn’t matter 😜@rashidkhan_19 https://t.co/m5XbA4qvWm
Alhamdulillah. ..Allah blessed us with rehmat. May Allah shower his kindness to her https://t.co/CqkLWwZa76
#NewProfilePic https://t.co/8POnRxA7DS
Great win great team work will do our best in sha allah to bring a smile on Afghanistan 🇦🇫 people remember us in ur prayers @rashidkhan_19 @iamnajibzadran @Mujeeb_R88 @MohammadNabi007 @RGurbaz_21 https://t.co/lBEvoTW2n2
Key Insights & Takeaways
He frequently collaborates with cricket teams and players, which boosts his visibility and engagement. His tweets often include personal gratitude and religious sentiments, which resonate with his audience. He uses emojis and casual language to connect with his followers in a more relatable way.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84,524
- + 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 @zazai_3 reveals an well-established Twitter presence with 84,524 followers. The account demonstrates a content-creator strategy, averaging 597.0 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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