ropz
Professional CS2 player for @FaZeClan
313,781
Followers
496
Following
3,239
Tweets
1,848.1
Avg Engagement
700
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ropz'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:2012-02-27
- Verification:No
- Location:Estonia
Data Summary
- Tweets Analyzed:2,749
- Avg Likes per Tweet:1,029.1
- Avg Retweets per Tweet:819.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,749 tweetsropz's tweets receive high engagement, with an average of 25k likes and 2.9k retweets per post. His content resonates well with his followers, indicating strong community interaction.
1,029.1
Avg Likes/Tweet
819.1
Avg Retweets/Tweet
2,828,898
Total Likes
2,251,598
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
252
Median Likes
3
Median Retweets
1,153
75th Percentile
1,421,657
Top Tweet
5.89
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
37.2%
Original
48.2%
Replies
12.4%
Retweets
2.1%
Quotes
0.0%
Threads
0.1%
With Media
20.3%
With Links
6.8%
With #Tags
71.0%
With @Mentions
17.6%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.29
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,749 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 342 retweets (12% 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 2,749 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 primarily consists of CS2 fans and gamers interested in competitive play. They engage with his content through likes and retweets, showing support for his achievements.
Below Average
Audience Quality
38.0%
Suspicion Index
52.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.9%
Empty Bio
60.1%
<10 Tweets
1.7%
Mass Following (>2K)
0.0%
New (<90 days)
80.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
45.1%
<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.
8,336,214
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
19.8%
Creators
9,892 accounts
20.2%
Consumers
10,082 accounts
60.1%
Dormant
30,026 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):
276
Verified Followers
0.27% of total
8,603
Protected Accounts
8.52% of total
3 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 |
|---|---|---|---|
| @H3CZ | 1,020,822 | Esports | esports, gaming, fishing |
| @LeBronJames | 1,005,330 | - | - |
| @ZachBoychuk | 829,246 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @sjokz | 808,195 | Esports Host | esports, Belgium, dolphin impression |
| @SteelSeries | 797,011 | Gaming | gaming, esports, RGB lighting |
| @FaZeNikan | 593,343 | Content Creator | Family, Food Videos |
| @CryptoGemsCom | 535,561 | Sports Analyst | Fenerbahce, FBBasketbol, FENERBAHÇE |
| @ZooMaa | 428,640 | Gamer | Call of Duty, eSports, Content Creation |
| @keydropcom | 424,023 | Gaming Influencer | CS:GO skins, daily cases, free cases |
| @IEM | 421,427 | Esports | gaming, esports, Intel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,086
Followers With Bio
54,909
Followers Without Bio
45.63%
% With Bio
54.37%
% 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 2,749 analyzed1,874,865
Combined Engagement
0
Total Likes
1,874,865
Total Retweets
374,973
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @BarackObama: "No one is born hating another person because of the color of his skin or his background or his religion..." https://t.co/…
RT @TheNotoriousMMA: THE FIGHT IS ON. https://t.co/KhW0u3jRft
RT @GordonRamsay: Pineapple does not go on top of pizza..... https://t.co/lhD6aliOV8
RT @norm: Losing the trust of Young Metro. https://t.co/yZJaAlzAEV
RT @CloeCouture: What do you hear?! Yanny or Laurel https://t.co/jvHhCbMc8I
Key Insights & Takeaways
He frequently celebrates major victories, which drives engagement and visibility. His content is highly emotional and celebratory, reflecting his passion for the game. He leverages his team's success to build a strong personal brand and fan loyalty.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 313,781
- + 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 @ropz reveals an exceptionally influential Twitter presence with 313,781 followers. The account demonstrates a conversation-first approach, averaging 1,848.1 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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