Fernando Pacheco
Portero del @RCDEspanyol. Exjugador de @Alaves, @realmadrid y @U_D_Almeria • PR: @keyplayergroup
100,097
Followers
622
Following
2,829
Tweets
435.1
Avg Engagement
318
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @92pacheco'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:2011-08-05
- Verification:No
- Location:Badajoz, España
Data Summary
- Tweets Analyzed:2,764
- Avg Likes per Tweet:16.1
- Avg Retweets per Tweet:419.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,764 tweetsThe account shows a balanced engagement pattern, with a mix of likes and retweets. The top tweets are personal and emotional, which may contribute to higher engagement from the audience.
16.1
Avg Likes/Tweet
419.0
Avg Retweets/Tweet
44,613
Total Likes
1,158,104
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
18
75th Percentile
199,389
Top Tweet
4.35
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
28.8%
Original
40.3%
Replies
30.6%
Retweets
0.3%
Quotes
0.0%
Threads
0.0%
With Media
23.0%
With Links
11.5%
With #Tags
82.5%
With @Mentions
19.5%
With Emojis
91
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.4
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.9%
Weekday Posts
31.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,764 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 847 retweets (31% 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 2,764 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 audience primarily consists of football fans, especially those following @RCDEspanyol, @Alaves, @realmadrid, and @U_D_Almeria. The content is likely resonating with fans of these clubs and football enthusiasts in general.
Average
Audience Quality
28.1%
Suspicion Index
29.6%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.4%
Empty Bio
28.8%
<10 Tweets
16.6%
Mass Following (>2K)
0.0%
New (<90 days)
61.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
17.8%
<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.
37,687,063
Total Potential Reach
40
Median Follower Reach
172
75th Percentile Reach
4.8%
>1K followers
1.1%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.2%
Creators
4,822 accounts
23.0%
Consumers
2,302 accounts
28.8%
Dormant
2,876 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):
28
Verified Followers
0.28% of total
723
Protected Accounts
7.23% of total
6 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 |
|---|---|---|---|
| @JohnCena | 14,092,896 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DjMaRiiO | 4,489,270 | Gamer | Videojuegos, Streaming, Espectadores |
| @ObispoPascal | 1,705,307 | Singer | Music, Album, Vinyl |
| @PReina25 | 1,273,381 | Footballer | Football, Goalkeeping, Family |
| @DanielNewman | 808,779 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @EASPORTSEsp | 668,325 | - | - |
| @El_Ciudadano | 582,006 | Journalist | Prensa, Libertaria, Denuncia |
| @Gol | 553,845 | Sports Journalist | Fútbol, Mundial, Ayuda |
| @RCDEspanyol | 528,901 | Football Club | Football, Barcelona, Sports |
| @MovistarFutbol | 513,287 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,856
Followers With Bio
4,144
Followers Without Bio
58.56%
% With Bio
41.44%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,764 analyzed672,793
Combined Engagement
0
Total Likes
672,793
Total Retweets
134,559
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @IAmJermainDefoe: Sleep tight little one... 💙 https://t.co/iGqLXdvlVi
RT @lad: This is the best video ever https://t.co/K065H6RJfQ
RT @MrLukeJohnston: Possibly the greatest scene in documentary history. Incredible. #PlanetEarth2 https://t.co/01dDjDJcdX
RT @EsMuyRelativo: Este gif me pudo. https://t.co/lvbdbCCc7Z
RT @ValaAfshar: The best demonstration of grit, persistence and self-confidence in less than one minute https://t.co/QjDnsHliZv
Key Insights & Takeaways
The account is focused on personal and emotional content, which helps build a connection with the audience. The user is actively involved with multiple football clubs, which broadens their reach and relevance. The use of personal messages and gratitude indicates a strong relationship with fans and former teammates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 100,097
- + 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 @92pacheco reveals an well-established Twitter presence with 100,097 followers. The account demonstrates a conversation-first approach, averaging 435.1 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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