Will
Prev. Professional CS Player | Performance coach for @MindBodyEsports
124,205
Followers
858
Following
3,741
Tweets
340.9
Avg Engagement
345
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RUSH'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:2011-11-01
- Verification:No
- Location:Dallas, TX
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:312.1
- Avg Retweets per Tweet:28.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,196 tweetsRUSH's tweets typically receive high engagement, with an average of 6,424 likes and 442 retweets per post.
312.1
Avg Likes/Tweet
28.8
Avg Retweets/Tweet
997,500
Total Likes
92,118
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
129
Median Likes
2
Median Retweets
381
75th Percentile
36,798
Top Tweet
2.74
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
43.1%
Original
48.9%
Replies
5.1%
Retweets
2.9%
Quotes
0.0%
Threads
0.2%
With Media
23.6%
With Links
5.9%
With #Tags
77.2%
With @Mentions
14.0%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.14
Reply/Original Ratio
0.58
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.1%
Weekday Posts
30.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 162 retweets (5% 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 3,196 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 followersHis audience includes fellow esports professionals, fans of competitive gaming, and individuals interested in performance coaching.
Average
Audience Quality
28.3%
Suspicion Index
29.8%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.9%
Empty Bio
30.6%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
75.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.2%
No URL
18.8%
<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.
48,516,575
Total Potential Reach
11
Median Follower Reach
48
75th Percentile Reach
1.9%
>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).
43.7%
Creators
21,854 accounts
25.6%
Consumers
12,822 accounts
30.6%
Dormant
15,324 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):
354
Verified Followers
0.35% of total
8,426
Protected Accounts
8.34% 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 | 14,101,574 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,696,587 | Chef | Cooking, Food, Restaurants |
| @Ninja | 6,674,504 | Gamer | video games, business |
| @pokimanelol | 4,273,772 | Streamer | gaming, streaming, content creation |
| @Nadeshot | 2,971,906 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @shroud | 1,969,548 | Streamer | Gaming, Streaming, Esports |
| @CouRageJD | 1,944,765 | Gamer | Gaming, Soup, Merch |
| @hodgetwins | 1,940,343 | Comedians | Merch, Giveaways, Podcast |
| @LilyPichu | 1,758,923 | Content Creator | drawing, piano, streaming |
| @Temperrr | 1,600,313 | Founder | Gaming, eSports, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,055
Followers With Bio
44,938
Followers Without Bio
55.5%
% With Bio
44.5%
% 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 3,196 analyzed78,454
Combined Engagement
31,051
Total Likes
47,403
Total Retweets
15,691
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @brittishbeaf: How it feels to hold connector https://t.co/b3F2pI5ixq
WE ARE MAJOR CHAMPIONS. FUCKIN SPEECHLESS
RT @Sadokist: For every RETWEET this post gets, 5 cents will be donated to help fight mental health. It's time to end the stigma and open u…
After close to 2 years with @Complexity, we are going our separate ways. Its crazy to think I spent all of COVID hopping from hotel to hotel in the EU. I had hoped we would achieve more with this roster, but we simply didn't meet our expectations time and time again.
Was going through some old games back when I was on OpTic and seeing this picture of all of us in different jerseys is bittersweet. https://t.co/MTLfEd96nd
Key Insights & Takeaways
RUSH often shares personal reflections and career milestones, which resonate strongly with his audience. He highlights his journey through esports, including his time with teams like Complexity and OpTic. His content is emotionally charged, especially when discussing team departures and personal growth.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 124,205
- + 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 @RUSH reveals an well-established Twitter presence with 124,205 followers. The account demonstrates a conversation-first approach, averaging 340.9 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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