Josh Leesman
Freelance esports Caster/Analyst/Host currently on LCS. Former: Head Coach Team Liquid LoL, Game Designer, Jungler.
263,441
Followers
623
Following
6,499
Tweets
504.9
Avg Engagement
1,221
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @esportsjatt'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:2011-10-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:348.5
- Avg Retweets per Tweet:156.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsTheir tweets receive high engagement, with an average of 9,027 likes and 695 retweets per tweet. The content is well-received, suggesting a strong connection with their followers.
348.5
Avg Likes/Tweet
156.4
Avg Retweets/Tweet
1,131,681
Total Likes
507,693
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
105
Median Likes
5
Median Retweets
371
75th Percentile
195,550
Top Tweet
1.92
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
42.0%
Original
42.9%
Replies
10.3%
Retweets
4.8%
Quotes
0.0%
Threads
0.3%
With Media
29.9%
With Links
35.5%
With #Tags
59.0%
With @Mentions
1.8%
With Emojis
106
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.02
Reply/Original Ratio
0.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.8%
Weekday Posts
37.2%
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 336 retweets (10% 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 followersTheir audience is primarily interested in esports, particularly League of Legends, and includes fans, analysts, and fellow professionals. The audience also shows interest in lifestyle and motivational content.
Average
Audience Quality
27.4%
Suspicion Index
31.3%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.7%
Empty Bio
30.7%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
71.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
20.0%
<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.
34,430,575
Total Potential Reach
9
Median Follower Reach
44
75th Percentile Reach
1.9%
>1K followers
0.4%
>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).
44.1%
Creators
22,057 accounts
25.2%
Consumers
12,616 accounts
30.7%
Dormant
15,327 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):
299
Verified Followers
0.3% of total
10,428
Protected Accounts
10.43% of total
6 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 | 14,101,987 | Wrestler | Wrestling, Motivation, Self-promotion |
| @riotgames | 2,758,405 | Gaming | LeagueofLegends, TFT, Runeterra |
| @TSM | 2,215,382 | Esports Team | Esports, LCS, Champions |
| @squishubunny | 1,242,206 | Cosplayer | Cosplay, Modeling, Vtuber |
| @Cloud9 | 1,227,325 | Esports | Esports, Gaming, Competition |
| @brttOficial | 1,044,239 | Professional Gamer | League of Legends, Founder, CEO |
| @TeamLiquid | 761,734 | Esports Team | Esports, Athletes, Winners |
| @loltyler1 | 657,680 | Streamer | Gaming, Streaming, Entertainment |
| @Dyrus | 590,270 | Gamer | gaming, business, waiting |
| @Alienware | 565,089 | Gaming | gaming, high performance, innovation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,465
Followers With Bio
43,535
Followers Without Bio
56.46%
% With Bio
43.54%
% 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 analyzed376,109
Combined Engagement
25,395
Total Likes
350,714
Total Retweets
75,222
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @HillaryClinton: 3-0
RT @wojespn: LeBron James has agreed to 4-year, $154M deal with Lakers, Klutch Sports says.
RT @Raptors: CANADA, THE @NBA TITLE IS YOURS! #WeTheNorth https://t.co/QaCvuX5bsK
Make sure to get some exercise in today. Luckily for me my trainer accepts payment in the form of treats. Oh also #LCS starts up again in 2 hours https://t.co/ZOrQQ1y64V
It's Worlds I guess https://t.co/BFolpJ5mqM
Key Insights & Takeaways
They often share personal and professional updates, which resonate well with their audience. Their content includes a mix of esports commentary and lifestyle tips, showing a diverse range of interests. They leverage their platform to promote LCS events and engage with fans directly.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 263,441
- + 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 @esportsjatt reveals an well-established Twitter presence with 263,441 followers. The account demonstrates a conversation-first approach, averaging 504.9 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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