Matthew Bailey
Director, Operations @TeamSecret
74,946
Followers
1,371
Following
18,039
Tweets
232.1
Avg Engagement
640
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Cyborgmatt'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:2008-12-30
- Verification:No
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:79.0
- Avg Retweets per Tweet:153.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,199 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The use of hashtags and links suggests a focus on driving traffic and discussion around specific gaming topics.
79.0
Avg Likes/Tweet
153.1
Avg Retweets/Tweet
252,867
Total Likes
489,760
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
20
Median Likes
1
Median Retweets
95
75th Percentile
106,186
Top Tweet
3.1
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
40.1%
Original
47.6%
Replies
5.2%
Retweets
7.1%
Quotes
0.0%
Threads
0.3%
With Media
46.5%
With Links
12.1%
With #Tags
60.9%
With @Mentions
11.2%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.19
Reply/Original Ratio
1.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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 166 retweets (5% 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 3,199 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 followersHis followers are likely esports enthusiasts, fans of TeamSecret, and individuals interested in competitive gaming events. The audience is primarily engaged with live and recent gaming content.
Average
Audience Quality
25.7%
Suspicion Index
28.5%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.5%
Empty Bio
26.4%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
65.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.1%
No URL
16.5%
<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.
27,970,516
Total Potential Reach
16
Median Follower Reach
81
75th Percentile Reach
5.2%
>1K followers
1.4%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.4%
Creators
4,843 accounts
25.2%
Consumers
2,522 accounts
26.4%
Dormant
2,635 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):
80
Verified Followers
0.8% of total
1,212
Protected Accounts
12.12% of total
7 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 | 14,097,177 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Mongraal | 2,130,428 | Professional Gamer | Fortnite, FaZe Clan, Pro |
| @JDaIey | 1,246,158 | - | - |
| @Dubsfn | 738,231 | Gamer | Fortnite, FaZe Clan, World Cup |
| @bstategames | 550,923 | Game Developer | FPS, RPG, Hardcore |
| @JakeSucky | 424,341 | Esports Commentator | Esports, Gaming, Content Creation |
| @yay | 371,307 | - | - |
| @n0thing | 332,407 | Professional Gamer | CSGO, Streaming, Videos |
| @JW1 | 279,315 | Esports | Business, Gaming, Entrepreneurship |
| @SumaaaaiL | 264,686 | Esports Player | Dota 2, Gaming, Esports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,949
Followers With Bio
4,051
Followers Without Bio
59.49%
% With Bio
40.51%
% 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 3,199 analyzed316,256
Combined Engagement
0
Total Likes
316,256
Total Retweets
63,251
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @JustinRoiland: Holy shit. https://t.co/vNEIfHTmNU
RT @AP: BREAKING: Donald Trump is elected president of the United States. https://t.co/yJpgfsAbc6
RT @ManUtd: Legends. ✊ #MUFC https://t.co/l7x74snTs6
RT @ManUtd: Champions. #UELfinal https://t.co/Q2ZgNj86SQ
RT @MarkMan23: Just today... I found a stack of old tapes and discs that we filmed from past fighting game events (early 2000s). Check out this alternate viewpoint from one of the legendary moments in competitive gaming history... https://t.co/X5z9EzpiUR https://t.co/fcuuHjSfe5
Key Insights & Takeaways
Cyborgmatt's content is heavily focused on competitive gaming events and highlights. He frequently shares reactions to major matches and film segments, indicating a passion for the esports scene. His engagement metrics suggest a dedicated and active audience interested in real-time gaming updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 74,946
- + 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 @Cyborgmatt reveals an well-established Twitter presence with 74,946 followers. The account demonstrates a conversation-first approach, averaging 232.1 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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