Emil Reif
25-years-old professional CSGO player, playing for Vitality 🐝
190,369
Followers
318
Following
3,763
Tweets
444.6
Avg Engagement
673
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MagiskCS'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:2015-10-19
- Verification:No
- Location:Danmark
Data Summary
- Tweets Analyzed:3,219
- Avg Likes per Tweet:415.6
- Avg Retweets per Tweet:29.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,219 tweetsHis tweets typically receive high engagement, with an average of 6,250 likes and 1,296 retweets, indicating strong support from his fanbase. The content often sparks emotional and supportive responses from followers.
415.6
Avg Likes/Tweet
29.0
Avg Retweets/Tweet
1,337,795
Total Likes
93,248
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
176
Median Likes
2
Median Retweets
505
75th Percentile
29,817
Top Tweet
2.34
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
58.4%
Original
34.0%
Replies
5.3%
Retweets
2.3%
Quotes
0.0%
Threads
0.1%
With Media
18.2%
With Links
5.2%
With #Tags
54.5%
With @Mentions
60.4%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.4%
Weekday Posts
29.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,219 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 172 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 3,219 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 primarily consists of CSGO fans and esports enthusiasts interested in his career and team dynamics. The audience is engaged with his personal and professional milestones.
Average
Audience Quality
32.5%
Suspicion Index
40.3%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.2%
Empty Bio
43.0%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
79.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.0%
No URL
30.4%
<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.
12,760,447
Total Potential Reach
5
Median Follower Reach
24
75th Percentile Reach
1.1%
>1K followers
0.2%
>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).
33.7%
Creators
16,844 accounts
23.3%
Consumers
11,654 accounts
43.0%
Dormant
21,502 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):
205
Verified Followers
0.2% of total
7,892
Protected Accounts
7.81% 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 |
|---|---|---|---|
| @Unexplained | 1,334,205 | Paranormal Researcher | Mystery, Paranormal, Curiosity |
| @Gaules | 1,032,250 | Streamer | Gaming, Community, Entertainment |
| @TeamVitality | 722,799 | Esports | Esports, Champions, Gaming |
| @Astralisgg | 700,973 | Esports Team | esports, gaming, competition |
| @KevinandTrevor | 696,734 | - | - |
| @G2NiKo | 620,189 | - | - |
| @kennyS_ | 608,086 | Professional Gamer | CS:GO, eSports, Gaming |
| @CSGO500 | 504,163 | - | - |
| @Perkz | 454,736 | Esports Player | League of Legends, Midlaner, TeamVitality |
| @TwitchEsports | 443,176 | Esports Broadcaster | Esports, Broadcasts, Twitch |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,692
Followers With Bio
48,306
Followers Without Bio
52.17%
% With Bio
47.83%
% 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 3,219 analyzed70,710
Combined Engagement
29,531
Total Likes
41,179
Total Retweets
14,142
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @DBUfodbold: Christian Eriksen er vågen og er til yderligere undersøgelser på Rigshospitalet. Kampen er midlertidigt udsat. Ny melding…
Follow me on Twitter + RT to participate in this giveaway for a Bayonet Fade FN ☺️ Winner will be drawn after Dreamhack! GL GL https://t.co/tzFrtAeqp3
That’s a legit oneway https://t.co/F3UHVnb8qi
BACK TO BACK TO BACK MAJOR FUCKING CHAMPIONS 😍 It’s been a long time since I have felt this happy. Super proud of the whole Team and what a sick Tournament by @dev1ce ❤️
A farewell to a broher. I will forever miss being on a Team with you. Wish you all the best, and thanks for being such a great human being and friend throughout good and bad times 😢❤️ @dev1ce
Key Insights & Takeaways
His top tweets reflect deep emotional connections and team camaraderie, which resonate strongly with his audience. He frequently shares personal and team-related updates, which drive engagement and loyalty. His verified status is low, suggesting a more authentic and relatable presence on the platform.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 190,369
- + 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 @MagiskCS reveals an well-established Twitter presence with 190,369 followers. The account demonstrates a content-creator strategy, averaging 444.6 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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