VICI Gaming
VICI Gaming is one of the Top professional esports organizations in China. Conquering since 2012. VENI, VIDI, VICI! VG电子竞技俱乐部 [ #VGFighting #VGWIN ]
98,551
Followers
142
Following
6,800
Tweets
243.0
Avg Engagement
580
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VICI'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:2012-10-18
- Verification:No
- Location:Shanghai, China
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:48.6
- Avg Retweets per Tweet:194.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,197 tweetsThe account has a high average engagement rate with likes and retweets, indicating a loyal and active community. The use of emojis and direct calls to action encourages interaction.
48.6
Avg Likes/Tweet
194.4
Avg Retweets/Tweet
155,315
Total Likes
621,648
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
1
Median Retweets
35
75th Percentile
542,771
Top Tweet
2.47
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
35.4%
Original
48.1%
Replies
13.2%
Retweets
3.3%
Quotes
0.0%
Threads
2.7%
With Media
70.9%
With Links
51.8%
With #Tags
66.8%
With @Mentions
37.6%
With Emojis
111
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.36
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.0%
Weekday Posts
35.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 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 422 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 3,197 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 followersThe primary audience consists of esports fans and followers of Chinese gaming culture, likely aged 18-35. They are emotionally invested in the team's performance and success.
Average
Audience Quality
30.0%
Suspicion Index
31.9%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.2%
Empty Bio
41.5%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
73.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.8%
No URL
27.7%
<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.
3,832,681
Total Potential Reach
6
Median Follower Reach
37
75th Percentile Reach
2.1%
>1K followers
0.3%
>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).
32.8%
Creators
3,276 accounts
25.7%
Consumers
2,569 accounts
41.5%
Dormant
4,155 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):
45
Verified Followers
0.45% of total
1,152
Protected Accounts
11.52% 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 |
|---|---|---|---|
| @ESLCS | 1,194,836 | Esports | Counter-Strike, Esports, Gaming |
| @teamsecret | 599,699 | Esports | esports, gaming, competition |
| @MonteCristo | 256,175 | Esports Commissioner | Esports, Commissioner, Brand |
| @gilliankemmerer | 134,000 | Sports Journalist | KHL, kdrama, archery |
| @Endoraworld_io | 94,169 | - | - |
| @EpheyDota | 77,880 | - | - |
| @Rivalrylolbr | 50,459 | Esports Betting | esports betting, entertainment, news |
| @VictoriaAtkin | 48,264 | Actress | Mother, Actor, Singer |
| @IGBundles | 41,282 | Gaming News | Game bundles, Free games, Game deals |
| @Martin_RGB | 38,121 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,377
Followers With Bio
3,623
Followers Without Bio
63.77%
% With Bio
36.23%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,197 analyzed596,249
Combined Engagement
13,759
Total Likes
582,490
Total Retweets
119,250
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @TheRealStanLee: https://t.co/dTdDjRvXbs
RT @gucci1017: Stop underestimating yourself!
RIP 0-3 Pickems. Send your tears and cry emojis as a comment below:
For 2019, I wish my teammates protect me like this. https://t.co/TrEnEtJg4R
🥺🥺🥺🥺🥺 https://t.co/gkfR4NpWHc
Key Insights & Takeaways
The account uses emotional appeals and nostalgia to connect with fans, such as referencing past losses and expressing hope for future support. It leverages hashtags and links to drive traffic and community interaction. The content often reflects team morale and fan support, highlighting the importance of the fanbase in the organization's journey.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 98,551
- + 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 @VICI reveals an well-established Twitter presence with 98,551 followers. The account demonstrates a conversation-first approach, averaging 243.0 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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