Tj
Pro COD Player for | https://www.facebook.com/unsupportedbrowser
158,784
Followers
1,221
Following
30,299
Tweets
272.0
Avg Engagement
526
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TJHaLy'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:2013-02-23
- Verification:No
- Location:West Chester, PA
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:243.0
- Avg Retweets per Tweet:29.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsOn average, his tweets receive around 5,890 likes and 254 retweets, indicating a highly engaged fan base. His content is well-received, with a notable number of interactions per post.
243.0
Avg Likes/Tweet
29.0
Avg Retweets/Tweet
788,955
Total Likes
94,150
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
64
Median Likes
0
Median Retweets
243
75th Percentile
13,648
Top Tweet
1.71
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
25.1%
Original
71.7%
Replies
1.4%
Retweets
1.8%
Quotes
0.0%
Threads
0.0%
With Media
17.0%
With Links
2.6%
With #Tags
73.5%
With @Mentions
5.7%
With Emojis
39
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.85
Reply/Original Ratio
1.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 47 retweets (1% 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 3,247 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 is primarily interested in competitive gaming and updates from a professional player. They engage with his content through likes and retweets, showing interest in his career and opinions.
Average
Audience Quality
24.6%
Suspicion Index
29.7%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.0%
Empty Bio
28.7%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
60.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.6%
No URL
18.4%
<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.
40,654,675
Total Potential Reach
17
Median Follower Reach
81
75th Percentile Reach
2.4%
>1K followers
0.4%
>10K followers
0.2%
>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).
46.4%
Creators
23,198 accounts
24.9%
Consumers
12,443 accounts
28.7%
Dormant
14,359 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):
732
Verified Followers
0.72% of total
8,758
Protected Accounts
8.67% 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 |
|---|---|---|---|
| @JohnCena | 14,100,948 | Wrestler | Wrestling, Motivation, Self-promotion |
| @OffsetYRN | 4,617,096 | - | - |
| @DailyLoud | 1,727,959 | Music Blogger | Hip-Hop, Music, Updates |
| @Temperrr | 1,600,341 | Founder | Gaming, eSports, Content Creation |
| @Castro1021 | 1,507,831 | Gamer | Gaming, Champion, Business |
| @SHGames | 1,406,584 | Game Developers | Call of Duty, Game Makers, Lifestyle |
| @CODLeague | 1,324,211 | Esports | Gaming, eSports, Competition |
| @JDaIey | 1,230,312 | - | - |
| @TwitterGaming | 1,068,467 | - | - |
| @Symfuhny | 950,531 | Gamer | Gaming, Twitch, Esports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,089
Followers With Bio
39,902
Followers Without Bio
60.49%
% With Bio
39.51%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed59,468
Combined Engagement
22,919
Total Likes
36,549
Total Retweets
11,894
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @KDTrey5: This a spiritual experience.
Important. Please Read Read: https://t.co/AJD33tbng3
RT @BleacherReport: LUKA 😱😱😱 https://t.co/uh9OTXK9os
I’ve been benched by Thieves. GL to them. Looking forward to the future.
RT @beatsbynav: Live life on your own terms fuck what anyone thinks
Key Insights & Takeaways
He frequently shares personal updates and career milestones, which resonate with his audience. He highlights specific players and moments, showing respect and admiration for top competitors. His content often includes links to his gaming profile, reinforcing his professional identity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 158,784
- + 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 @TJHaLy reveals an well-established Twitter presence with 158,784 followers. The account demonstrates a conversation-first approach, averaging 272.0 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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