Dirty
video gamer @FaZeClan | https://www.twitch.tv/dirty | [email protected]
463,049
Followers
1,140
Following
69,213
Tweets
322.6
Avg Engagement
178
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FaZeDirty'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:2011-01-21
- Verification:No
- Location:Las Vegas
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:182.1
- Avg Retweets per Tweet:140.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets typically receive around 9,174 likes and 741 retweets on average, indicating a strong and active community. Verified accounts make up 0.8% of his followers, suggesting a mix of genuine and bot accounts.
182.1
Avg Likes/Tweet
140.5
Avg Retweets/Tweet
591,448
Total Likes
456,335
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
0
Median Retweets
132
75th Percentile
118,929
Top Tweet
0.7
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
20.4%
Original
71.8%
Replies
4.6%
Retweets
3.1%
Quotes
0.0%
Threads
0.3%
With Media
25.3%
With Links
4.8%
With #Tags
80.1%
With @Mentions
22.2%
With Emojis
56
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.52
Reply/Original Ratio
0.68
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.1%
Weekday Posts
25.9%
Weekend Posts
Top Hashtags
Most Mentioned
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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 151 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 3,248 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 primarily consists of gaming enthusiasts and fans of FaZe Clan, interested in his gameplay and personal life. The audience engages with his content through likes and retweets.
Average
Audience Quality
28.0%
Suspicion Index
28.0%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.5%
Empty Bio
34.8%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
71.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.1%
No URL
20.6%
<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.
55,283,033
Total Potential Reach
8
Median Follower Reach
49
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).
37.3%
Creators
18,629 accounts
28.0%
Consumers
13,990 accounts
34.8%
Dormant
17,381 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):
775
Verified Followers
0.78% of total
5,882
Protected Accounts
5.88% of total
4 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 | 14,104,716 | Wrestler | Wrestling, Motivation, Self-promotion |
| @McDonalds | 4,766,750 | Fast Food | Fast Food, Grimace, Friendship |
| @FaZe_Rain | 3,180,913 | Gamer | Gaming, eSports, Improvement |
| @ScHoolboyQ | 2,547,709 | Rapper | music, hip hop, rap |
| @Casey | 2,078,641 | YouTuber | family, work |
| @SHGames | 1,407,969 | Game Developers | Call of Duty, Game Makers, Lifestyle |
| @AlexisRen | 1,393,362 | Model | Fashion, Travel, Wellness |
| @AmandaCerny | 1,287,338 | Comedian | Comedy, Life, Fitness |
| @ORIGINPC | 1,116,268 | PC Manufacturer | Creators, gamers, professionals |
| @THESLUMPGOD | 921,189 | Rapper | Music, Fashion, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,918
Followers With Bio
35,082
Followers Without Bio
64.92%
% With Bio
35.08%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,248 analyzed316,699
Combined Engagement
0
Total Likes
316,699
Total Retweets
63,340
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @BrittanySharnez: How is this disrespectful but to the country not this? https://t.co/58mG0Al0HH
RT @RexChapman: During the quarantine, a pianist in Barcelona went to his balcony to play “My Heart Will Go On” for his neighborhood. Afte…
RT @squizxy: what my fbi agent hears in my discord calls https://t.co/Cf0q7qG87V
RT @NFL: THAT. WAS. INCREDIBLE. Dre. Snoop. Mary. Eminem. Kendrick. 50 Cent. What a show. #PepsiHalftime https://t.co/FKz8YKhhAt
RT @USMNT: WE'RE NOT PACKING OUR BAGS. WE'RE NOT GOING HOME. WE'RE MOVING ON!!!!!!!
Key Insights & Takeaways
He frequently shares gameplay highlights and achievements, which likely drive engagement. Personal anecdotes and real-life moments, such as airport encounters, add relatability and interest. His use of hashtags like #Warzone and #MWII helps in reaching a broader gaming audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 463,049
- + 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 @FaZeDirty reveals an well-established Twitter presence with 463,049 followers. The account demonstrates a conversation-first approach, averaging 322.6 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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