Maniac
🇨🇭 Conversation starter. Former professional. 5x Major Player. MSc Work Psychology. Co-founder Life Mind Games. [email protected]
111,297
Followers
970
Following
20,643
Tweets
238.3
Avg Engagement
409
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Maniac_CSGO'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:2013-12-05
- Verification:No
- Location:Berne, Switzerland
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:147.8
- Avg Retweets per Tweet:90.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsHis tweets typically receive high engagement, with an average of 3,145 likes and 94 retweets, indicating a strong and active community around his content.
147.8
Avg Likes/Tweet
90.5
Avg Retweets/Tweet
479,862
Total Likes
293,971
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
36
Median Likes
0
Median Retweets
181
75th Percentile
51,362
Top Tweet
2.14
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
34.8%
Original
44.7%
Replies
15.4%
Retweets
5.1%
Quotes
0.0%
Threads
0.3%
With Media
25.0%
With Links
28.9%
With #Tags
60.5%
With @Mentions
22.8%
With Emojis
88
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.28
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.7%
Weekday Posts
30.3%
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 499 retweets (15% 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 10,000 followersHis audience primarily consists of CS:GO fans and gamers who appreciate his candid and entertaining take on the game. They are also interested in his personal journey and professional ventures.
Average
Audience Quality
20.2%
Suspicion Index
21.2%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.5%
Empty Bio
13.0%
<10 Tweets
3.3%
Mass Following (>2K)
0.0%
New (<90 days)
62.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
7.0%
<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.
1,792,229
Total Potential Reach
20
Median Follower Reach
54
75th Percentile Reach
1.2%
>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).
66.6%
Creators
6,656 accounts
20.5%
Consumers
2,047 accounts
13.0%
Dormant
1,297 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):
53
Verified Followers
0.53% of total
399
Protected Accounts
3.99% of total
5 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 |
|---|---|---|---|
| @YellOwStaRL0L | 260,479 | Retired Player | League of Legends, Retired Player, Prodigy Agency |
| @neo_fkubski | 89,176 | eSports Player | eSports, Gaming, Competition |
| @CarlosMaizOK | 87,286 | Entrepreneur | Entrepreneur, Digital Communication, Bitcoin |
| @NickUndrul | 77,813 | Blogger | Learning, Sharing, Interests |
| @redditCSGO | 72,591 | Gaming Community | Gaming, eSports, Community |
| @xceltokenplus | 42,513 | - | - |
| @Nikolarn | 41,140 | Music Producer | Gaming, Music Production, Business |
| @Tw1tterPicasso | 39,312 | Artist | Art, NFTs, Shop |
| @BLASTtv | 38,681 | - | - |
| @G2AMANEK | 38,605 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,453
Followers With Bio
3,547
Followers Without Bio
64.53%
% With Bio
35.47%
% 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 analyzed134,264
Combined Engagement
0
Total Likes
134,264
Total Retweets
26,853
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @CounterStrike: Counter-Strike 2.
RT @rogerfederer: #Fedal https://t.co/DiTxIcXf7u
RT @LaverCup: Thank you, Roger. #LaverCup https://t.co/YUZnVwyznj
RT @LaverCup: All the Fedal feelings. #LaverCup https://t.co/WKjhcADFoe
RT @ESLCS: IT'S HAPPENING The first @CSGO Major in Brasil! 🇧🇷 #IEM Rio 2022 📅 Tournament: October 31-November 13 🏟 Jeunesse Arena: November 10-13 🎫 Tickets open May 25 at 14:00 BRT 🔗https://t.co/rYYLX97o1G https://t.co/X47IU3jkGd
Key Insights & Takeaways
He frequently shares personal and humorous anecdotes from his gaming career, which resonate well with his audience. His content often includes references to major events and players, which helps maintain relevance and engagement. He uses a mix of humor and storytelling to connect with his followers and keep them interested.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 111,297
- + 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 @Maniac_CSGO reveals an well-established Twitter presence with 111,297 followers. The account demonstrates a conversation-first approach, averaging 238.3 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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