TH Evi/えびンモ
I'm professional LoL player in LEC TH Evi @TeamHeretics stream https://www.twitch.tv/th_evi_lol youtubeでLoL解説 Business Enquiries Contact: @ICMStellar_Josh Japanese
99,641
Followers
7,360
Following
88,749
Tweets
1,126.0
Avg Engagement
781
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ebihuryahurya'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:2012-07-15
- Verification:Yes
- Location:愛知→東京→ベルリン
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:1,042.2
- Avg Retweets per Tweet:83.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 599 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The content is engaging and often sparks reactions from followers.
1,042.2
Avg Likes/Tweet
83.7
Avg Retweets/Tweet
624,296
Total Likes
50,151
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
208
Median Likes
12
Median Retweets
1,219
75th Percentile
20,089
Top Tweet
11.3
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
41.7%
Original
35.4%
Replies
18.2%
Retweets
4.7%
Quotes
0.0%
Threads
0.5%
With Media
40.1%
With Links
9.7%
With #Tags
53.4%
With @Mentions
27.5%
With Emojis
65
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.85
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
64.3%
Weekday Posts
35.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 109 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 599 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 primarily consists of LoL players and esports enthusiasts. They are likely interested in game commentary, streaming, and player interactions.
Good
Audience Quality
19.8%
Suspicion Index
21.8%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.4%
Empty Bio
16.3%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
54.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
10.3%
<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.
51,443,653
Total Potential Reach
25
Median Follower Reach
107
75th Percentile Reach
2.8%
>1K followers
0.5%
>10K followers
0.2%
>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).
64.4%
Creators
32,207 accounts
19.3%
Consumers
9,640 accounts
16.3%
Dormant
8,153 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):
429
Verified Followers
0.44% of total
14,769
Protected Accounts
15.3% 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 | 14,105,740 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheGrefg | 7,762,998 | Content Creator | Gaming, Content Creation, Esports |
| @hikakin | 6,519,346 | YouTuber | YouTube, SNS, Collaboration |
| @lolesports | 2,349,572 | Esports | League of Legends, Esports, Gaming |
| @hanae0626 | 2,230,591 | 声優 | Voice Acting, Cats, Summer |
| @takigare3 | 1,849,385 | - | - |
| @iorimoe_five | 1,356,894 | - | - |
| @Vamp_Kuzu | 1,352,378 | Vtuber | Vtuber, wealth, sponsorship |
| @TeamHeretics | 1,105,355 | Esports | Esports, Updates, Passion |
| @sjokz | 809,477 | Esports Host | esports, Belgium, dolphin impression |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,902
Followers With Bio
26,638
Followers Without Bio
72.41%
% With Bio
27.59%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 599 analyzed77,935
Combined Engagement
74,670
Total Likes
3,265
Total Retweets
15,587
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Today, I jokingly said "Thank you Daddy" to Jancos, and the moment I said it, everyone laughed and Jack said me "evi, do you know what Daddy means...? " Don't worry, I know what it means now. Thank you very much, Father Jankos.
👍 https://t.co/QUHr7xFsZP
👍 https://t.co/ndm3WwcFPT
I really love and respect Odo. I would like to give him a vacation today👍 https://t.co/OamGh2z6MU
https://t.co/moiVTXDJ7r
Key Insights & Takeaways
The account uses humor and relatable moments to connect with followers Content often includes interactions with other players, which drives engagement The use of multiple platforms (Twitter, YouTube, streaming) helps maintain a broad audience reach
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 99,641
- + 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 @ebihuryahurya reveals an exceptionally influential Twitter presence with 99,641 followers. The account demonstrates a content-creator strategy, averaging 1,126.0 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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