Fernando Soria
Former LEC/TCL professional league of legends player. Coaching privado: https://t.co/rRDYC0V8Tb
10,293
Followers
923
Following
16,903
Tweets
113.4
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RydleFS'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:2012-03-29
- Verification:No
- Location:Soria
Data Summary
- Tweets Analyzed:595
- Avg Likes per Tweet:5.6
- Avg Retweets per Tweet:107.8
- Followers Analyzed:10,501
Engagement Analysis
Based on 595 tweetsOn average, tweets receive 42 likes and 11 retweets, showing moderate engagement. The content often sparks discussion, particularly around coaching and player behavior.
5.6
Avg Likes/Tweet
107.8
Avg Retweets/Tweet
3,328
Total Likes
64,128
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
9
75th Percentile
24,432
Top Tweet
11.01
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
20.2%
Original
52.3%
Replies
16.6%
Retweets
10.9%
Quotes
0.0%
Threads
0.2%
With Media
32.3%
With Links
2.9%
With #Tags
68.6%
With @Mentions
9.1%
With Emojis
107
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.59
Reply/Original Ratio
0.66
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.4%
Weekday Posts
13.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 595 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 99 retweets (17% 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 595 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 10,501 followersThe audience appears to be interested in League of Legends coaching, player development, and gaming culture. They likely include aspiring coaches, players, and fans of the game.
Good
Audience Quality
16.5%
Suspicion Index
21.7%
Low-Quality %
64
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.3%
Empty Bio
11.8%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
38.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.2%
No URL
6.2%
<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.
31,630,890
Total Potential Reach
64
Median Follower Reach
193
75th Percentile Reach
5.3%
>1K followers
1.3%
>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).
68.0%
Creators
7,139 accounts
20.2%
Consumers
2,121 accounts
11.8%
Dormant
1,241 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):
95
Verified Followers
0.9% of total
679
Protected Accounts
6.47% of total
9 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 |
|---|---|---|---|
| @IbaiLlanos | 13,083,025 | Streamer | Gaming, Streaming, Content Creation |
| @BeatsByAssassin | 2,266,235 | Multitalented | Actor, Director, Rapper |
| @IamCristinini | 1,699,956 | Presentadora | TV, humor, directos |
| @yisucrist | 1,652,078 | Meme Creator | memes, profeta, ropa |
| @paracetamor | 796,179 | Streamer | Gaming, Esports, Streaming |
| @MomonKun_ | 568,055 | Gamer | Overlord, NewSkill, RambootClub |
| @EiProfeta | 509,280 | Parody Account | Parody, news, magical |
| @Reventxz | 502,968 | Influencer | Music, Fashion, Lifestyle |
| @feritkw | 484,852 | Esports | Gaming, Esports, Entrepreneurship |
| @andercortes | 483,108 | Journalist | periodismo, radio, internet |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,588
Followers With Bio
3,913
Followers Without Bio
62.74%
% With Bio
37.26%
% 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 595 analyzed52,397
Combined Engagement
0
Total Likes
52,397
Total Retweets
10,479
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @IbaiLlanos: LO INTENTAS, TE EQUIVOCAS, TE LEVANTAS. LO INTENTAS, TE EQUIVOCAS, TE LEVANTAS. LO INTENTAS, TE EQUIVOCAS, TE LEVANTAS.
RT @HumansNoContext: https://t.co/RaenVek2EN
RT @AnimalNoContext: https://t.co/McHY5XSg7v
RT @FostyLoL: State of League of Legends Season 13 https://t.co/xnoA2KnHPe
RT @EggBabyOfficial: You already know how it is https://t.co/9pBHYf9fqe
Key Insights & Takeaways
The user is actively seeking to join a team and contribute to its success. They emphasize the importance of being a good friend to a player, rather than just a coach. They are open to debate on whether a coach should have a high skill level in the game.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,293
- + 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 @RydleFS reveals an well-established Twitter presence with 10,293 followers. The account demonstrates a conversation-first approach, averaging 113.4 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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