Mathias Olivera
Futbolista de Napoli🇮🇹 Uruguayo🇺🇾
19,824
Followers
286
Following
226
Tweets
642.4
Avg Engagement
58
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MathiasOlivera5'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: Mid-Tier (10K+)
- Account Age:2013-06-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:167
- Avg Likes per Tweet:577.3
- Avg Retweets per Tweet:65.0
- Followers Analyzed:18,547
Engagement Analysis
Based on 167 tweetsHis tweets receive a high number of likes and retweets, indicating strong engagement from his followers. The use of emojis and hashtags helps to boost interaction and visibility.
577.3
Avg Likes/Tweet
65.0
Avg Retweets/Tweet
96,414
Total Likes
10,861
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
171
Median Likes
20
Median Retweets
599
75th Percentile
11,137
Top Tweet
32.4
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
44.9%
Original
18.0%
Replies
26.3%
Retweets
10.8%
Quotes
0.0%
Threads
0.0%
With Media
67.7%
With Links
22.8%
With #Tags
57.5%
With @Mentions
84.4%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
63.5%
Weekday Posts
36.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 167 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 44 retweets (26% 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 167 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 18,547 followersHis audience consists of football fans, particularly those supporting Napoli and Uruguay. The majority of his followers are likely from Italy and Uruguay due to his nationality and club.
Good
Audience Quality
18.7%
Suspicion Index
25.0%
Low-Quality %
76
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.9%
Empty Bio
16.3%
<10 Tweets
9.8%
Mass Following (>2K)
0.0%
New (<90 days)
38.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
10.0%
<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.
38,495,331
Total Potential Reach
76
Median Follower Reach
277
75th Percentile Reach
7.6%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.9%
Creators
12,225 accounts
17.8%
Consumers
3,293 accounts
16.3%
Dormant
3,029 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):
114
Verified Followers
0.61% of total
1,760
Protected Accounts
9.49% 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 |
|---|---|---|---|
| @LuisSuarez9 | 17,672,211 | Footballer | Football, Uruguay, Inter Miami CF |
| @sscnapoli | 2,056,211 | Soccer Club | Football, Napoli, Sports |
| @Uruguay | 927,081 | Sports Team | Uruguayan football, national team, official account |
| @diegogodin | 660,849 | Footballer | Football, Cagliari, Uruguay |
| @askomartin | 594,969 | Broadcaster | Sports, Broadcasting, Marketing |
| @MartinCharquero | 440,399 | Periodista | fútbol, periodismo, crossfit |
| @Moreno | 430,155 | Influencer | Business, Manager, Serious |
| @Inspiras_ | 412,271 | Magazine Editor | Positividad, Lifestyle, Posible |
| @OnlyVikingos | 398,664 | Football Fan | Football, Real Madrid, Passion |
| @SerieA_EN | 341,086 | Sports Media | Football, Italian, Updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,148
Followers With Bio
7,399
Followers Without Bio
60.11%
% With Bio
39.89%
% 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 167 analyzed31,259
Combined Engagement
30,411
Total Likes
848
Total Retweets
6,252
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Un día soñado, algo único que uno sueña desde chico, más que feliz por esta noche y por la victoria, VamoUruguay siempre 🇺🇾💪 https://t.co/r5QtZC5Hll
Una noche increíble en nuestra casa.. Una notte fantastica a casa nostra.. 🤩✨🔵 https://t.co/pTLWwQg0Sr
Vamossss🔵 Ottimo lavoro di tutti…#ForzaNapoliSempre 👊😜 https://t.co/mZvew0WVAM
Ciao 👋 @sscnapoli 🔵🤩 https://t.co/FyOp9pkliB
La celeste del alma.. 🤩🇺🇾 https://t.co/dQI4lPqGGD
Key Insights & Takeaways
He frequently shares emotional and celebratory messages about victories and team achievements His content is heavily influenced by his identity as a Uruguayan player for Napoli He uses a mix of Spanish and Italian in his tweets to connect with both fanbases
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 19,824
- + 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 @MathiasOlivera5 reveals an well-established Twitter presence with 19,824 followers. The account demonstrates a content-creator strategy, averaging 642.4 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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