Quan
20 | VALORANT player for ??? | 🇻🇳 | https://www.twitch.tv/diceyzx | ex @100thieves @Immortals @FaZeClan
81,647
Followers
564
Following
1,145
Tweets
698.5
Avg Engagement
254
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @diceyzx'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:2019-02-14
- Verification:No
- Location:Franchesska💛
Data Summary
- Tweets Analyzed:1,098
- Avg Likes per Tweet:669.0
- Avg Retweets per Tweet:29.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,098 tweetsTheir tweets receive an average of 10,294 likes and 310 retweets, showing high engagement from their followers. The content often resonates with their audience, encouraging interaction and support.
669.0
Avg Likes/Tweet
29.5
Avg Retweets/Tweet
734,585
Total Likes
32,422
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
203
Median Likes
0
Median Retweets
622
75th Percentile
24,405
Top Tweet
8.56
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
28.3%
Original
63.3%
Replies
5.2%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
21.1%
With Links
6.1%
With #Tags
75.3%
With @Mentions
13.8%
With Emojis
47
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.23
Reply/Original Ratio
0.61
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.1%
Weekday Posts
33.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,098 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 57 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 1,098 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 followersdiceyzx's audience appears to be primarily fans of Valorant and esports, with a focus on younger demographics interested in gaming and team dynamics. Their followers are likely to be active in gaming communities and social media.
Average
Audience Quality
29.1%
Suspicion Index
34.0%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
36.3%
<10 Tweets
3.2%
Mass Following (>2K)
0.0%
New (<90 days)
73.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
24.1%
<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.
7,353,026
Total Potential Reach
9
Median Follower Reach
37
75th Percentile Reach
1.7%
>1K followers
0.4%
>10K followers
0.1%
>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).
36.1%
Creators
3,615 accounts
27.5%
Consumers
2,753 accounts
36.3%
Dormant
3,632 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):
54
Verified Followers
0.54% of total
1,136
Protected Accounts
11.36% 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 |
|---|---|---|---|
| @SinghLions | 1,330,400 | Restaurateur | Food, Travel, Influencer |
| @Pamaj | 1,195,991 | Gamer | Gaming, Content Creation, FaZe Clan |
| @Trainwreckstv | 651,104 | Podcaster | Podcasting, Among Us, GFuel |
| @FaZeNikan | 590,198 | Content Creator | Family, Food Videos |
| @ZooMaa | 429,086 | Gamer | Call of Duty, eSports, Content Creation |
| @ValorINTEL | 425,144 | Gaming News | esports, news, clips |
| @Cented7 | 367,310 | Gamer | Fortnite, FaZe Clan, Turtle Tavern |
| @mineifiwildout | 206,445 | - | - |
| @schrodingerlee | 150,598 | Agent | science, cats, talent |
| @TheBoiSantana | 141,958 | Professional Gamer | Warzone, FaZeClan, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,618
Followers With Bio
4,382
Followers Without Bio
56.18%
% With Bio
43.82%
% 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.
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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 1,098 analyzed63,458
Combined Engagement
62,046
Total Likes
1,412
Total Retweets
12,692
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
GOOD VIBES https://t.co/V0hUcDgtuF
Thankful for my time with the Valorant team, I learned a lot and met a lot of people. I will be back.
IM BACK https://t.co/vYUmYE2yqz
get tenz back on 60 ping its only fair that way
Im undefeated in this VCT
Key Insights & Takeaways
They maintain a strong connection with their fan base through personal and team-related updates Their content reflects a balance between professional achievements and personal gratitude They use Twitter as a platform to announce their return and share positive vibes
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 81,647
- + 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 @diceyzx reveals an well-established Twitter presence with 81,647 followers. The account demonstrates a conversation-first approach, averaging 698.5 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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