VILLA VILLA π
ποΈReportero @AztecaDeportes, 2 veces mundialista π·πΊ 2018 πΆπ¦ 2022 y Chiva de CorazΓ³n π
153,988
Followers
34,494
Following
46,791
Tweets
538.3
Avg Engagement
258
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OmarVV9'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:2010-05-28
- Verification:No
- Location:Ciudad de MΓ©xico
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:307.9
- Avg Retweets per Tweet:230.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsOmarVV9's tweets typically receive a high number of likes and retweets, showing strong audience interaction. His content is well-received, with a focus on emotional and strategic aspects of matches.
307.9
Avg Likes/Tweet
230.4
Avg Retweets/Tweet
1,000,235
Total Likes
748,571
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
25
Median Likes
1
Median Retweets
320
75th Percentile
676,842
Top Tweet
3.5
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
35.7%
Original
42.4%
Replies
12.2%
Retweets
9.7%
Quotes
0.0%
Threads
0.0%
With Media
27.2%
With Links
8.5%
With #Tags
61.0%
With @Mentions
33.2%
With Emojis
97
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.19
Reply/Original Ratio
0.8
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.3%
Weekday Posts
34.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 396 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 3,249 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 sports enthusiasts who appreciate in-depth analysis and personal perspectives. The engagement is high, indicating a loyal and active community around his content.
Average
Audience Quality
32.9%
Suspicion Index
40.6%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.6%
Empty Bio
38.6%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
76.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
27.6%
<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.
37,082,562
Total Potential Reach
10
Median Follower Reach
56
75th Percentile Reach
1.9%
>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).
39.7%
Creators
19,829 accounts
21.7%
Consumers
10,869 accounts
38.6%
Dormant
19,302 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):
158
Verified Followers
0.16% of total
9,633
Protected Accounts
9.54% 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 |
|---|---|---|---|
| @NetflixLAT | 14,697,766 | Streaming | Nesflis, Netflit, Nefli |
| @JohnCena | 14,101,505 | Wrestler | Wrestling, Motivation, Self-promotion |
| @choquei | 5,306,986 | Entertainment News | artistas, famosos, acontecimentos |
| @Faitelson_ESPN | 4,086,365 | - | - |
| @InesSainzG | 3,256,985 | Sports Journalist | Family, Sports, Mexico |
| @GarciaPosti | 2,894,787 | Public Relations | Sateluco, Conferencias, PR |
| @taniarin | 2,689,804 | TV Host | Fitness, Fashion, Sports |
| @miguelhotero | 1,930,011 | Journalist | Politics, Journalism, Leadership |
| @CARLOSLGUERRERO | 1,750,315 | Athlete | Warrior, Exaggeration, Rest |
| @SinghLions | 1,333,634 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,655
Followers With Bio
51,337
Followers Without Bio
49.17%
% With Bio
50.83%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,249 analyzed717,409
Combined Engagement
37,670
Total Likes
679,739
Total Retweets
143,482
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this eveningβ¦
Lo que da mΓ‘s coraje es que con el 2-0 a los 10 del segundo tiempo, se tenΓa todo para calificar. Los cambios de Charly y RaΓΊl le quitaron el βmomentumβ al equipo.
Penal o no, Atlas lo iba a ganar con la alineaciΓ³n indebida. QuΓ© papelΓ³n de Miguel Herrera.
LlΓ³rale MΓ‘s
ππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππ πππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππππ https://t.co/Fb1wU83CbB
Key Insights & Takeaways
His tweets often reflect a deep emotional connection to the games he covers, especially when discussing close matches or controversial decisions. He frequently highlights tactical and strategic elements, showing his understanding of the sport beyond just reporting. His personal experiences as a fan and journalist add authenticity to his commentary, making his content relatable and engaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 153,988
- + 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 @OmarVV9 reveals an well-established Twitter presence with 153,988 followers. The account demonstrates a conversation-first approach, averaging 538.3 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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