Ali Dzhami
Playing for @virtuspro /////[email protected]
56,979
Followers
84
Following
143
Tweets
1,749.2
Avg Engagement
210
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JAMEPAIN'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:2018-01-17
- Verification:No
- Location:Санкт-Петербург, Россия
Data Summary
- Tweets Analyzed:138
- Avg Likes per Tweet:1,705.0
- Avg Retweets per Tweet:44.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 138 tweetsTheir tweets receive high levels of engagement, indicating a loyal and active fan base that values their content and achievements.
1,705.0
Avg Likes/Tweet
44.2
Avg Retweets/Tweet
235,290
Total Likes
6,097
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
1
Median Retweets
176
75th Percentile
48,073
Top Tweet
30.7
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
36.2%
Original
44.9%
Replies
18.8%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
47.1%
With Links
5.8%
With #Tags
71.0%
With @Mentions
31.9%
With Emojis
89
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.24
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.3%
Weekday Posts
29.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 138 tweetsContent Type Distribution
Content Breakdown
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 26 retweets (19% 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 138 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 10,000 followersTheir audience appears to be primarily interested in esports and gaming culture, with a focus on competitive play and personal development.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
100.0%
<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.
3,288,007
Total Potential Reach
8
Median Follower Reach
39
75th Percentile Reach
1.6%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
808
Protected Accounts
8.08% of total
4 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 |
|---|---|---|---|
| @dev1ce | 460,492 | Professional Gamer | Gaming, eSports, Competition |
| @Slasher | 380,001 | Esports Consultant | esports, gaming, internet culture |
| @shoxCSGO | 274,090 | Professional Gamer | CS:GO, Gaming, eSports |
| @heroicgg | 133,261 | Esports Team | Clutch, Gaming, Esports |
| @MACHINEgg | 124,656 | Esports Commentator | Esports, Photography, Hosting |
| @Maniac_CSGO | 107,136 | Esports Analyst | CS:GO, Professional Gaming, Work Psychology |
| @SuperstituM | 86,147 | YouTuber | Gaming, Horror, YouTube |
| @daps | 69,435 | Pro Gamer | Gaming, Canada, Argentina |
| @zakkfps | 61,313 | CS:GO Coach | CS:GO, coaching, humble |
| @STYKOcsgo | 59,420 | CS:GO Player | CSGO, Teaching, Chill |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,849
Followers With Bio
5,151
Followers Without Bio
48.49%
% With Bio
51.51%
% 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 138 analyzed163,117
Combined Engagement
159,123
Total Likes
3,994
Total Retweets
32,623
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
We made it, thank you for your support, it means a lot to me ❤️ https://t.co/pU77xbn4N2
mvp major with super cringe english here! 🤡
Anime that helped me to win the Major: 1) One Piece 2) Dragon Ball 3) Baki
daaamn https://t.co/RFs2RJow49
last step! gg @mousesports its was crazy game 💪 https://t.co/SkG9IzUk4E
Key Insights & Takeaways
They are transparent about their journey and growth in the esports scene They use humor and personal anecdotes to connect with their audience They highlight the influence of anime on their performance and mindset
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 56,979
- + 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 @JAMEPAIN reveals an exceptionally influential Twitter presence with 56,979 followers. The account demonstrates a conversation-first approach, averaging 1,749.2 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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