Lekr0
Professional CS:GO Player Free Agent LFT [email protected]
60,428
Followers
439
Following
2,404
Tweets
220.1
Avg Engagement
233
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Lekr0'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:2015-08-17
- Verification:No
- Location:Stockholm, Sverige
Data Summary
- Tweets Analyzed:2,339
- Avg Likes per Tweet:120.2
- Avg Retweets per Tweet:99.9
- Followers Analyzed:10,999
Engagement Analysis
Based on 2,339 tweetsHis tweets receive a high number of likes and retweets, indicating a loyal and active fan base.
120.2
Avg Likes/Tweet
99.9
Avg Retweets/Tweet
281,034
Total Likes
233,738
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
27
Median Likes
1
Median Retweets
145
75th Percentile
100,999
Top Tweet
3.64
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
38.7%
Original
37.0%
Replies
18.3%
Retweets
6.0%
Quotes
0.0%
Threads
0.1%
With Media
27.6%
With Links
7.1%
With #Tags
60.4%
With @Mentions
26.5%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.96
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,339 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 427 retweets (18% 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 2,339 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 10,999 followersHis audience includes fellow gamers, fans of his career, and potential sponsors or team recruiters.
Average
Audience Quality
28.3%
Suspicion Index
29.8%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.1%
Empty Bio
28.6%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
76.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.1%
No URL
18.5%
<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.
5,810,774
Total Potential Reach
13
Median Follower Reach
54
75th Percentile Reach
2.2%
>1K followers
0.5%
>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).
46.9%
Creators
5,161 accounts
24.4%
Consumers
2,688 accounts
28.6%
Dormant
3,150 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):
66
Verified Followers
0.6% of total
654
Protected Accounts
5.95% 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 |
|---|---|---|---|
| @ESLCS | 1,193,925 | Esports | Counter-Strike, Esports, Gaming |
| @CSGO500 | 506,465 | - | - |
| @noahreyli | 342,143 | Professional Gamer | Fortnite, Cash Cups, DreamHack |
| @dignitas | 277,076 | Esports | Esports, Gaming, Competition |
| @conquerer1 | 235,341 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @MVG_Mew2King | 212,724 | Professional Gamer | Smash Bros, Gaming, Esports |
| @Thorin | 194,476 | Analyst | core, winning, ideas |
| @G2m0NESY | 136,550 | - | - |
| @heroicgg | 132,571 | Esports Team | Clutch, Gaming, Esports |
| @yek1ndar | 93,185 | Professional Gamer | CS:GO, Team Liquid, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,483
Followers With Bio
4,516
Followers Without Bio
58.94%
% With Bio
41.06%
% 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 2,339 analyzed200,455
Combined Engagement
4,927
Total Likes
195,528
Total Retweets
40,091
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @jonnohopkins: this is the most British thing I’ve seen all week https://t.co/woPxspnlKw
RT @CounterStrike: Counter-Strike 2.
RT @PostMalone: PUBG is still better
RT @ManUtd: That's why we call it the Theatre of Dreams 💭🏟️ @Alexis_Sanchez gets it! #Alexis7 https://t.co/u9OuwK1HFc
Well there you have it! Will be sitting on the bench until I find new opportunities. My goal has always been to win a major and I will keep grinding and improving until i do so. If you want to contact me here is my email. [email protected]
Key Insights & Takeaways
He is currently seeking new opportunities in his career, which suggests he is actively looking for a team or role. He has a deep connection with his past team and fans, as seen in his emotional farewell message. His content often blends personal sentiment with professional achievements, highlighting his dedication to the game.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,428
- + 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 @Lekr0 reveals an well-established Twitter presence with 60,428 followers. The account demonstrates a content-creator strategy, averaging 220.1 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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