Thiago Silva
Center back at @chelseafc Seleção Brasileira @cbf_futebol
1,461,112
Followers
339
Following
1,151
Tweets
7,116.3
Avg Engagement
1,410
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tsilva3'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: Mega Influencer (1M+)
- Account Age:2014-09-16
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:1,117
- Avg Likes per Tweet:6,491.6
- Avg Retweets per Tweet:624.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,117 tweetsHis tweets receive an average of 105k likes and 12k retweets, indicating strong support and interaction from his followers.
6,491.6
Avg Likes/Tweet
624.7
Avg Retweets/Tweet
7,251,118
Total Likes
697,750
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
745
Median Likes
81
Median Retweets
4,259
75th Percentile
182,728
Top Tweet
4.87
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
53.5%
Original
28.3%
Replies
11.7%
Retweets
6.4%
Quotes
0.0%
Threads
0.1%
With Media
61.8%
With Links
34.2%
With #Tags
63.7%
With @Mentions
72.0%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.53
Reply/Original Ratio
0.55
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,117 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 131 retweets (12% 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 1,117 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 football fans and followers of Brazilian football, with a global reach due to his association with Chelsea FC.
Below Average
Audience Quality
36.2%
Suspicion Index
48.8%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.1%
Empty Bio
55.0%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
75.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
37.5%
<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.
8,138,150
Total Potential Reach
5
Median Follower Reach
26
75th Percentile Reach
1.1%
>1K followers
0.1%
>10K followers
0.0%
>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).
19.1%
Creators
9,530 accounts
26.0%
Consumers
12,977 accounts
55.0%
Dormant
27,493 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):
117
Verified Followers
0.12% of total
7,472
Protected Accounts
7.4% of total
2 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 |
|---|---|---|---|
| @9romelulukaku | 1,038,467 | Footballer | Football, Revenge, Determination |
| @cpulisic_10 | 849,808 | - | - |
| @RonaldAraujo_4 | 828,998 | Footballer | Football, Barcelona, Uruguay |
| @CFCMod_ | 516,175 | Moderator | Football, Chelsea FC, Modelling |
| @oficialsincerao | 295,981 | Influencer | Humor, Sinceridade, Contato |
| @drissawaked | 266,232 | Physician | Health education, Coronavirus, Medical specialist |
| @malikofori | 214,555 | Entrepreneur | N/A |
| @Coreandor | 195,326 | Author | politics, thriller, author |
| @CFC_Janty | 157,855 | - | - |
| @LindseyHoran | 139,665 | Soccer Player | Soccer, Adidas, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,531
Followers With Bio
59,468
Followers Without Bio
41.12%
% With Bio
58.88%
% 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 1,117 analyzed750,740
Combined Engagement
663,753
Total Likes
86,987
Total Retweets
150,148
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Thanks Alex! @PSG_inside @Santandave1 @ajtracey 👏🏻👏🏻🇧🇷 https://t.co/yaSGhTPsAQ
#NouvellePhotoDeProfil https://t.co/K0JmpjacrH
If you want to go fast, go alone. If you want to go far, go together. (African Proverb) 👊🏽 @ChelseaFC https://t.co/9ALDAwaBZF
Commit to the Lord everything you do, and your plans will succeed (Proverbs 16:3).
Forever Blue @ChelseaFC #2024 https://t.co/gwMjnXyllN
Key Insights & Takeaways
He uses his platform to share personal updates and motivational quotes, which resonate well with his audience. His content often blends football with life lessons, appealing to a broader demographic beyond just sports fans. He leverages his association with Chelsea FC and the Brazilian national team to build credibility and connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,461,112
- + Strong original content creation
- + 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 @tsilva3 reveals an exceptionally influential Twitter presence with 1,461,112 followers. The account demonstrates a content-creator strategy, averaging 7,116.3 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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