Pedro Almeida

Pedro Almeida

@pedrogva6

Portuguese insider specialized in transfers. ⏳

Lisboa, Portugal https://www.facebook.com/unsupportedbrowser Joined 2016-01-28 Date of Analysis: Dec 16, 2025

112,180

Followers

2,653

Following

9,212

Tweets

1,011.7

Avg Engagement

502

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @pedrogva6'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:2016-01-28
  • Verification:No
  • Location:Lisboa, Portugal

Data Summary

  • Tweets Analyzed:3,208
  • Avg Likes per Tweet:262.7
  • Avg Retweets per Tweet:749.0
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,208 tweets

Pedro Gva6's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His use of hashtags and exclusive content drives engagement and visibility.

262.7

Avg Likes/Tweet

749.0

Avg Retweets/Tweet

842,601

Total Likes

2,402,872

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

63

Median Likes

12

Median Retweets

300

75th Percentile

178,945

Top Tweet

9.02

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

39.5%

Original

5.8%

Replies

21.6%

Retweets

33.1%

Quotes

0.0%

Threads

0.1%

With Media

58.1%

With Links

69.3%

With #Tags

32.6%

With @Mentions

85.3%

With Emojis

126

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.15

Reply/Original Ratio

1.53

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.2%

Weekday Posts

22.8%

Weekend Posts

Top Hashtags

#transfers (595) #fcb (105) #mufc (105) #thfc (87) #psg (78) #benfica (73) #slb (73) #om (72) #lfc (63) #cfc (62)

Most Mentioned

@pedrogva6 (273) @ekremkonur (44) @fabrizioromano (35) @dimarzio (22) @nicoschira (21) @fcbarcelona (20) @transferzone00 (17) @rudygaletti (16) @glongari (15) @manutd (14)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,208 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,267 (39%)
Replies 186 (6%)
Retweets 694 (22%)
Quote Tweets 1,061 (33%)

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 694 retweets (22% 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 3,208 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 10,000 followers

His audience primarily consists of football fans and analysts interested in transfer news and club dynamics. The content is tailored to those looking for in-depth, exclusive information on high-profile players and deals.

Average

Audience Quality

21.1%

Suspicion Index

24.0%

Low-Quality %

71

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

38.5%

Empty Bio

15.9%

<10 Tweets

14.6%

Mass Following (>2K)

0.0%

New (<90 days)

46.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.4%

No URL

9.5%

<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 Detector

Follower Reach & Influence

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

9,248,750

Total Potential Reach

71

Median Follower Reach

267

75th Percentile Reach

7.6%

>1K followers

0.9%

>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).

65.8%

Creators

6,580 accounts

18.3%

Consumers

1,832 accounts

15.9%

Dormant

1,588 accounts

62

Verified Followers

0.62% of total

4.8%

Professional Bios

founder, dev, analyst, etc.

0.11

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):

Lagos, Nigeria (111) London, England (99) Nigeria (88) Accra, Ghana (85) England, United Kingdom (63) London (56) United Kingdom (49) Nairobi, Kenya (47) Liverpool, England (46) Liverpool (35)

62

Verified Followers

0.62% of total

870

Protected Accounts

8.7% of total

5 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
@empireofthekop 1,928,451 Football Fan Liverpool, football, fans
@eurofootcom 434,954 Sports Media Football, Europe, Home
@bulentuslu1903 300,540 TV Commentator Beşiktaş, TV commentator, Economics
@CFCBlues_com 297,027 Sports Media Football, Chelsea FC, Betting
@EssexPR 289,016 Pub Owner Nightlife, Pubs, Events
@ChelsTransfer 251,205 Sports Journalist Chelsea news, Transfer gossip, Business
@dataref_ar 133,825 Data Analyst Argentinians, Statistics, Puma
@FootbaIlBibIe 128,220 Football Content Creator Football, Videos, Vines
@migsim 121,790 Journalist Journalism, News, Media
@Jordan_Coombe 120,007 Average Boy Email, Average boy, Large tick

Top Keywords in Follower Bios

football (429) chelsea (353) fc (323) liverpool (308) love (212) ynwa (208) lfc (203) arsenal (185) life (176) sports (140)

Top Hashtags in Follower Bios

#ynwa (105) #lfc (68) #coys (65) #jft97 (23) #cfc (22) #mufc (21) #thfc (21) #coyg (20) #ktbffh (18) #levyout (18)

6,154

Followers With Bio

3,846

Followers Without Bio

61.54%

% With Bio

38.46%

% 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.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,208 analyzed

703,438

Combined Engagement

0

Total Likes

703,438

Total Retweets

140,688

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Football Transfers Club Strategies Player Contracts Insider Information Cristiano Ronaldo Manchester United Barcelona Bernardo Silva

Key Insights & Takeaways

He frequently breaks news on high-profile transfers and player contracts, such as Cristiano Ronaldo's potential move. He provides detailed analysis on club strategies and player decisions, like Casemiro's impact on Manchester United. His content is often exclusive and timely, making him a trusted source in the football community.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 112,180
  • + 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 @pedrogva6 reveals an exceptionally influential Twitter presence with 112,180 followers. The account demonstrates a content-creator strategy, averaging 1,011.7 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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