Gilberto Silva

Gilberto Silva

@GilbertoSilva

Mentor de atletas 🧠, comentarista, palestrante. World Cup Champion 🏆 FIFA & Arsenal Ambassador. @off1cialStriver co-founder

Belo Horizonte, Brasil https://linktr.ee/gilbertosilvaoficial Joined 2010-01-26 Date of Analysis: Dec 16, 2025

431,400

Followers

453

Following

17,996

Tweets

334.2

Avg Engagement

2,899

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @GilbertoSilva'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:2010-01-26
  • Verification:No
  • Location:Belo Horizonte, Brasil

Data Summary

  • Tweets Analyzed:3,196
  • Avg Likes per Tweet:290.2
  • Avg Retweets per Tweet:44.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,196 tweets

His tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts, reflecting a loyal and active fan base.

290.2

Avg Likes/Tweet

44.1

Avg Retweets/Tweet

927,418

Total Likes

140,801

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

10

Median Likes

1

Median Retweets

60

75th Percentile

44,508

Top Tweet

0.77

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

31.1%

Original

54.1%

Replies

12.6%

Retweets

2.2%

Quotes

0.0%

Threads

2.3%

With Media

33.9%

With Links

28.3%

With #Tags

76.7%

With @Mentions

39.2%

With Emojis

111

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.74

Reply/Original Ratio

0.17

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

63.7%

Weekday Posts

36.3%

Weekend Posts

Top Hashtags

#gilbertosilva (325) #worldcup (128) #arsenal (116) #partnersportsconsultoria (76) #football (69) #lagoadaprata (62) #coyg (60) #brasil (59) #russia (57) #soccer (37)

Most Mentioned

@arsenal (546) @gilbertosilva (225) @beinsports (68) @timchasetc (65) @tv_gooner (59) @tru_challenge (55) @istreetchild (50) @bukayosaka87 (49) @premierleague (41) @officialvieira (34)

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Content Strategy Analysis

Based on 3,196 tweets

Content Type Distribution

Content Breakdown

Original Tweets 994 (31%)
Replies 1,729 (54%)
Retweets 404 (13%)
Quote Tweets 69 (2%)

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 404 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 3,196 tweets

Engagement 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 followers

His audience includes football fans, aspiring athletes, and commentaries enthusiasts. The content appeals to both casual and dedicated followers of the sport.

Average

Audience Quality

20.1%

Suspicion Index

20.1%

Low-Quality %

91

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

32.0%

Empty Bio

14.0%

<10 Tweets

17.7%

Mass Following (>2K)

0.0%

New (<90 days)

43.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.3%

No URL

8.2%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

93,645,362

Total Potential Reach

91

Median Follower Reach

289

75th Percentile Reach

7.9%

>1K followers

0.7%

>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).

67.6%

Creators

33,779 accounts

18.5%

Consumers

9,238 accounts

14.0%

Dormant

6,983 accounts

266

Verified Followers

0.53% of total

7.2%

Professional Bios

founder, dev, analyst, etc.

0.12

Median Follow Ratio

follower/following

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):

London, England (1,154) Lagos, Nigeria (952) London (693) Nigeria (650) Nairobi, Kenya (559) Kampala, Uganda (499) England, United Kingdom (419) United Kingdom (346) Accra, Ghana (175) Abuja, Nigeria (169)

500

Verified Followers

0.5% of total

8,755

Protected Accounts

8.67% of total

7 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
@FIFAWorldCup 12,474,540 Sports Organization Soccer, International, Tournament
@cesc4official 9,936,653 Footballer Football, Family, Instagram
@GaryLineker 8,928,385 Football Pundit BBC Sport, Walkers, @goalhangerfilms
@piersmorgan 8,458,687 Journalist quotes, media, controversy
@goal 8,184,288 Football Analyst football, news, insight
@ElNennY 5,210,420 Footballer Football, Arsenal, Egypt
@JackWilshere 3,668,302 Footballer Football, Family, Instagram
@RodrygoGoes 2,913,667 Footballer Futebol, Real Madrid, Brasil
@radioleary 2,657,898 - -
@UEFA 2,330,912 Football Football, EqualGame, Official

Top Keywords in Follower Bios

arsenal (11,300) football (3,148) love (2,430) life (2,111) gooner (2,062) fc (1,883) coyg (1,627) god (1,442) sports (1,231) lover (1,169)

Top Hashtags in Follower Bios

#coyg (1,091) #arsenal (789) #afc (468) #gooner (100) #kroenkeout (81) #arsenalfc (67) #goonerfamily (61) #teamarsenal (58) #freepalestine (55) #football (52)

59,761

Followers With Bio

41,238

Followers Without Bio

59.17%

% With Bio

40.83%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,196 analyzed

173,370

Combined Engagement

158,087

Total Likes

15,283

Total Retweets

34,674

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

40%

With @Mentions

0%

With Links

Topical Analysis:

Football Mentorship Commentary Humor Personal Achievements Community Engagement

Key Insights & Takeaways

He often uses humor and relatability to connect with his audience His content highlights his expertise in football and personal achievements He leverages his platform to support and promote his co-founded initiatives

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 431,400
  • + 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 @GilbertoSilva reveals an well-established Twitter presence with 431,400 followers. The account demonstrates a conversation-first approach, averaging 334.2 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025