Russel van Dulken
Professional Counter-Strike player for @FaZeClan Inquiries: [email protected] https://www.twitch.tv/TwistzzTV https://www.youtube.com/c/twistzz @Aon1r ❤️🥰
264,381
Followers
496
Following
4,711
Tweets
956.1
Avg Engagement
667
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Twistzz'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:2015-02-24
- Verification:No
- Location:🇨🇦 living in 🇩🇪
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:725.7
- Avg Retweets per Tweet:230.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsTwistzz's tweets receive an average of 22,889 likes and 1,501 retweets, indicating strong support and interaction from his followers. His content is well-received and often shared within the gaming community.
725.7
Avg Likes/Tweet
230.4
Avg Retweets/Tweet
2,357,076
Total Likes
748,433
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
127
Median Likes
2
Median Retweets
716
75th Percentile
563,156
Top Tweet
3.62
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
34.0%
Original
47.8%
Replies
12.8%
Retweets
5.4%
Quotes
0.0%
Threads
0.6%
With Media
22.7%
With Links
9.1%
With #Tags
73.9%
With @Mentions
33.7%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.4
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.6%
Weekday Posts
32.4%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,248 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 416 retweets (13% 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 3,248 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 is primarily fans of Counter-Strike and FaZe Clan, with a focus on competitive gaming enthusiasts. The audience is highly engaged and emotionally invested in his team's performance.
Below Average
Audience Quality
36.6%
Suspicion Index
50.7%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.3%
Empty Bio
57.2%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
78.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
43.1%
<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.
10,424,022
Total Potential Reach
3
Median Follower Reach
14
75th Percentile Reach
1.1%
>1K followers
0.2%
>10K followers
0.1%
>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).
22.7%
Creators
11,341 accounts
20.2%
Consumers
10,079 accounts
57.2%
Dormant
28,580 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):
289
Verified Followers
0.29% of total
8,923
Protected Accounts
8.84% 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 |
|---|---|---|---|
| @JohnCena | 14,100,438 | Wrestler | Wrestling, Motivation, Self-promotion |
| @FaZeBlaze | 1,761,687 | Gamer | gaming, esports, content creation |
| @whyyoutouzhele | 1,039,849 | Teacher | Education, Community, Verification |
| @H3CZ | 1,020,851 | Esports | esports, gaming, fishing |
| @Crimsix | 869,539 | Professional Gamer | Gaming, Competitive, Motivation |
| @ZachBoychuk | 829,143 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @SteelSeries | 798,096 | Gaming | gaming, esports, RGB lighting |
| @CryptoGemsCom | 535,517 | Sports Analyst | Fenerbahce, FBBasketbol, FENERBAHÇE |
| @CSGO500 | 504,297 | - | - |
| @NateHillTV | 479,093 | Gamer | Fortnite, FaZe Clan, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,774
Followers With Bio
53,214
Followers Without Bio
47.31%
% With Bio
52.69%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,248 analyzed686,411
Combined Engagement
87,180
Total Likes
599,231
Total Retweets
137,282
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @connerhallmark: Dinner date didn’t go as planned https://t.co/BwBIOBzY7Z
RT @valvesoftware: We’re excited to unveil Half-Life: Alyx, our flagship VR game, this Thursday at 10am Pacific Time. Can’t wait to share…
I can't fucking believe it, after everything we've been through, WE ARE THE CHAMPIONS OF @IEM KATOWICE 2022 ❤❤❤. I FUCKING LOVE MY TEAM 🏆🏆🏆
CHAMPIONS OF @IEM COLOGNE 🏆🏆🏆 I CAN'T BELIEVE IT MAN. MY TEAM IS FUCKING AWESOME.
The last dance is actually coming
Key Insights & Takeaways
His tweets often highlight major team victories and emotional highs, which resonate strongly with his audience. He frequently uses emojis and expressive language to convey excitement and loyalty. His content is highly personal and reflects a deep connection to his team and fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 264,381
- + 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 @Twistzz reveals an well-established Twitter presence with 264,381 followers. The account demonstrates a conversation-first approach, averaging 956.1 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access