FNATIC
Driving Esports Performance since 2004. #ALWAYSFNATIC Fnatic Nation @alwaysfnatic | Fnatic App: https://fnatic.com/app Fnatic Counter-Strike: @FNATICCS2
1,747,626
Followers
503
Following
63,444
Tweets
1,199.0
Avg Engagement
3,470
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FNATIC'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: Mega Influencer (1M+)
- Account Age:2009-02-03
- Verification:Yes
- Location:London, UK
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:1,130.9
- Avg Retweets per Tweet:68.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsFNATIC's tweets receive significant engagement, indicating a loyal and active fan base. The use of hashtags and links to their app and social media channels helps drive interaction and traffic.
1,130.9
Avg Likes/Tweet
68.1
Avg Retweets/Tweet
3,672,067
Total Likes
221,205
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
170
Median Likes
3
Median Retweets
791
75th Percentile
83,548
Top Tweet
0.69
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
37.5%
Original
58.1%
Replies
4.0%
Retweets
0.4%
Quotes
0.0%
Threads
0.3%
With Media
60.0%
With Links
10.9%
With #Tags
70.6%
With @Mentions
27.2%
With Emojis
79
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.55
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
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 130 retweets (4% 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 followersThe audience is primarily esports fans and followers of competitive gaming, especially those interested in Counter-Strike and Valorant. They are likely to be young, tech-savvy, and engaged with live gaming content.
Average
Audience Quality
27.1%
Suspicion Index
36.3%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.2%
Empty Bio
38.6%
<10 Tweets
1.4%
Mass Following (>2K)
0.0%
New (<90 days)
61.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
28.4%
<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.
10,035,370
Total Potential Reach
7
Median Follower Reach
42
75th Percentile Reach
1.8%
>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).
40.9%
Creators
20,465 accounts
20.5%
Consumers
10,252 accounts
38.6%
Dormant
19,283 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):
522
Verified Followers
0.52% of total
9,367
Protected Accounts
9.37% of total
3 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 |
|---|---|---|---|
| @SlimJim | 490,880 | Snack Influencer | meat, long boi, champions |
| @feritkw | 484,862 | Esports | Gaming, Esports, Entrepreneurship |
| @jennaxcakes | 447,469 | Baker | baking, nerdy, social media |
| @WhaleCoinTalk | 311,912 | - | - |
| @Asamsakti | 286,851 | Art Lover | Art, Technology, Tea |
| @livyyrenata | 282,460 | Writer | romantic, hopeless, livy |
| @Sparta3566 | 222,340 | Content Creator | Books, Content Creation, Family |
| @ZLaner | 211,879 | Gamer | Warzone, Content Creation, Gaming |
| @yayygaby | 197,076 | Photographer | photo, media, content |
| @UKF | 193,727 | Music Promoter | Albums, mixes, playlists |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,422
Followers With Bio
47,578
Followers Without Bio
52.42%
% With Bio
47.58%
% 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 3,247 analyzed339,059
Combined Engagement
306,671
Total Likes
32,388
Total Retweets
67,812
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/OpjeUT1Gx4
THIS IS VALORANT. THIS IS THE FNATIC ERA. WE ARE YOUR #VCTLOCKIN CHAMPIONS! https://t.co/lxykGbdyEP
naaah aint no way we came to brazil for this 💀 https://t.co/9Raoif4pwJ
2 years in the making, 2021 - 2023 ♥️ https://t.co/FckRhcrLNv
not yet lil bro its only map one https://t.co/4YlZUjuS0I
Key Insights & Takeaways
The account uses strong, emotionally charged language to create excitement and hype around their teams and events. It leverages major victories to reinforce brand identity and community pride. The inclusion of links to their app and other social media channels helps maintain audience engagement and drive traffic.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,747,626
- + 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 @FNATIC reveals an exceptionally influential Twitter presence with 1,747,626 followers. The account demonstrates a conversation-first approach, averaging 1,199.0 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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