FaZe Scope
Content Creator for @FaZeClan | https://www.twitch.tv/Scope | Prove them wrong.
86,210
Followers
654
Following
20,757
Tweets
571.4
Avg Engagement
55
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FaZeScope'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:2014-02-03
- Verification:No
- Location:[email protected]
Data Summary
- Tweets Analyzed:3,223
- Avg Likes per Tweet:416.9
- Avg Retweets per Tweet:154.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,223 tweetsHis tweets typically receive high engagement, with an average of 27,000 likes and 2,700 retweets per post. This indicates a strong and active community around his content.
416.9
Avg Likes/Tweet
154.5
Avg Retweets/Tweet
1,343,769
Total Likes
497,825
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
84
Median Likes
3
Median Retweets
283
75th Percentile
115,720
Top Tweet
6.63
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
38.0%
Original
58.8%
Replies
2.6%
Retweets
0.6%
Quotes
0.0%
Threads
0.2%
With Media
41.3%
With Links
7.3%
With #Tags
66.2%
With @Mentions
14.0%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.54
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.3%
Weekday Posts
23.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,223 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 84 retweets (3% 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 3,223 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 10,000 followersHis audience is primarily interested in gaming, particularly within the FaZeClan organization. They engage with his content through likes and retweets, showing interest in his personal and professional updates.
Average
Audience Quality
21.6%
Suspicion Index
25.7%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.6%
Empty Bio
24.6%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.7%
No URL
15.8%
<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.
11,717,471
Total Potential Reach
34
Median Follower Reach
156
75th Percentile Reach
5.0%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.9%
Creators
5,290 accounts
22.5%
Consumers
2,246 accounts
24.6%
Dormant
2,464 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):
229
Verified Followers
2.29% of total
783
Protected Accounts
7.83% 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 |
|---|---|---|---|
| @NICKMERCS | 2,087,940 | Gamer | Gaming, Streaming, Esports |
| @LeBronJames | 962,111 | - | - |
| @Crimsix | 866,521 | Professional Gamer | Gaming, Competitive, Motivation |
| @SlimJim | 513,671 | Snack Influencer | meat, long boi, champions |
| @fourzerotwo | 452,949 | - | - |
| @Slasher | 382,981 | Esports Consultant | esports, gaming, internet culture |
| @sincerelyjuju | 381,913 | Streamer | Gaming, Streaming, Content Creation |
| @Parasite | 329,807 | Professional Gamer | Call of Duty, Gaming, eSports |
| @LEGIQN | 311,664 | Gamer | Gaming, Sports, Food |
| @ValorantNews_jp | 281,683 | Gaming News | Gaming, Esports, Updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,435
Followers With Bio
3,565
Followers Without Bio
64.35%
% With Bio
35.65%
% 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 3,223 analyzed320,889
Combined Engagement
186,862
Total Likes
134,027
Total Retweets
64,178
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @AdamSandler: Happy loves you all! Thanks for everything! https://t.co/p1aY9JcFWh
Dear lord this tweet aged horribly https://t.co/cqCkPLtTus
I JOINED @FaZeClan !!!!!!!!!!!!!!
WTF DID I JUST DO #MWII https://t.co/ghKybJEfDA
I want to apologize https://t.co/aOjoUZpnK0
Key Insights & Takeaways
He often shares personal and emotional moments, which resonate with his audience. His tweets reflect a sense of humor and self-awareness, especially regarding his past content. He frequently interacts with his followers, creating a sense of community and authenticity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86,210
- + 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 @FaZeScope reveals an well-established Twitter presence with 86,210 followers. The account demonstrates a conversation-first approach, averaging 571.4 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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