Drakos
Daniel Drakos is a caster for Riot Games
103,747
Followers
589
Following
11,031
Tweets
637.2
Avg Engagement
528
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DanielDrakos'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:2013-07-23
- Verification:No
- Location:Berlin, Germany
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:580.5
- Avg Retweets per Tweet:56.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive a high number of likes and retweets, showing strong audience interaction. The engagement is likely driven by his role in major esports events.
580.5
Avg Likes/Tweet
56.7
Avg Retweets/Tweet
1,885,888
Total Likes
184,221
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
279
Median Likes
2
Median Retweets
756
75th Percentile
31,368
Top Tweet
6.14
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
40.2%
Original
46.9%
Replies
7.2%
Retweets
5.7%
Quotes
0.0%
Threads
0.5%
With Media
27.0%
With Links
16.6%
With #Tags
67.6%
With @Mentions
12.4%
With Emojis
101
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
0.78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 235 retweets (7% 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 3,249 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 League of Legends fans and esports enthusiasts. They are interested in castings, behind-the-scenes content, and interactions with casters.
Average
Audience Quality
31.9%
Suspicion Index
41.2%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.9%
Empty Bio
41.0%
<10 Tweets
3.4%
Mass Following (>2K)
0.0%
New (<90 days)
75.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
28.5%
<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.
18,289,722
Total Potential Reach
7
Median Follower Reach
28
75th Percentile Reach
1.3%
>1K followers
0.3%
>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).
33.6%
Creators
3,359 accounts
25.4%
Consumers
2,537 accounts
41.0%
Dormant
4,104 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):
24
Verified Followers
0.24% of total
821
Protected Accounts
8.21% of total
4 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 | 14,093,369 | Wrestler | Wrestling, Motivation, Self-promotion |
| @G2esports | 1,579,299 | Esports Team | esports, org, G2ARMY |
| @OfficialBoaster | 320,065 | Esports Player | Valorant, Gaming, Content Creation |
| @DRXGlobal | 249,772 | - | - |
| @Wanderlustluca | 224,734 | Cosplayer | Onlyfans, Free NSFW, Cosplay |
| @RLewisReports | 130,983 | Journalist | Esports, Journalism, Truth |
| @itsDanBull | 119,729 | Rapper | Music, Business, Cosplay |
| @akaNemsko | 105,344 | Chess Streamer | Chess, Streaming, Irelia otp |
| @Vandiril | 81,650 | - | - |
| @realmrmusic | 72,300 | Journalist | Film, Music, Radio |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,611
Followers With Bio
5,389
Followers Without Bio
46.11%
% With Bio
53.89%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,249 analyzed103,694
Combined Engagement
11,837
Total Likes
91,857
Total Retweets
20,739
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @vlsdllv: HOW TO HELP UKRAINE 🇺🇦 Thread of donation links and organizations I kindly ask everyone to retweet this thread so that more people in & outside of Ukraine see it.
RT @jaketapper: 18 U.S. Code § 2384 - Seditious conspiracy https://t.co/2r12WnDdDd
RT @Chinchillazllla: the CDC announced that i don't have to tell anyone else in the group that a zombie bit me a few miles back
https://t.co/Le5n3KCW20
RT @zackfox: RIP to the queen of television, love you forever Betty White ❤️🔥🕊
Key Insights & Takeaways
He frequently shares personal interactions with fellow casters and players, which builds a sense of community. His content often highlights major esports events, indicating a focus on competitive gaming. He uses links to share additional content, suggesting a strategy to drive traffic to external media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 103,747
- + 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 @DanielDrakos reveals an well-established Twitter presence with 103,747 followers. The account demonstrates a conversation-first approach, averaging 637.2 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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