Fudbalski savez Srbije | FA of Serbia
Добро дошли на званични Твитер налог Фудбалског савеза Србије | Welcome to the official Twitter account of the Football Association of Serbia 🇷🇸 #Orlovi #FSS
77,038
Followers
304
Following
18,599
Tweets
267.1
Avg Engagement
794
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FSSrbije'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:2012-08-15
- Verification:No
- Location:Belgrade, Republic of Serbia
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:153.3
- Avg Retweets per Tweet:113.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsThe account shows consistent engagement with a focus on likes rather than retweets. It interacts with both domestic and international football entities, enhancing its reach and relevance.
153.3
Avg Likes/Tweet
113.8
Avg Retweets/Tweet
497,876
Total Likes
369,776
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
7
Median Retweets
160
75th Percentile
96,746
Top Tweet
3.47
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
62.4%
Original
3.4%
Replies
32.2%
Retweets
1.9%
Quotes
0.0%
Threads
0.0%
With Media
94.6%
With Links
56.4%
With #Tags
46.9%
With @Mentions
88.9%
With Emojis
124
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.0%
Weekday Posts
31.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 1,046 retweets (32% 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 3,248 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 primary audience includes football fans, players, and officials in Serbia, as well as international followers interested in Serbian football. The account also engages with sports teams and organizations, such as Juventus FC.
Below Average
Audience Quality
39.2%
Suspicion Index
62.9%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
71.8%
Empty Bio
63.1%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
68.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
54.0%
<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.
2,038,799
Total Potential Reach
3
Median Follower Reach
35
75th Percentile Reach
2.0%
>1K followers
0.2%
>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).
22.5%
Creators
2,247 accounts
14.4%
Consumers
1,440 accounts
63.1%
Dormant
6,313 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):
35
Verified Followers
0.35% of total
669
Protected Accounts
6.69% of total
2 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 |
|---|---|---|---|
| @Moreno | 428,801 | Influencer | Business, Manager, Serious |
| @FCBfrauen | 127,998 | Soccer Team | women's football, German champions, German cup winners |
| @AndresCantorGOL | 113,727 | Sports Commentator | Soccer, Broadcasting, Bilingual |
| @stewartgardner | 69,791 | Sports Journalist | Sports, Manchester United, Commentator |
| @zadravecmarija1 | 62,210 | Adult entertainer | porn, onlyfans, model |
| @basketbllnews | 51,182 | Sports Journalist | Basketball, News, Coverage |
| @galeri_futsal | 28,251 | - | - |
| @MateuszMiga | 27,578 | - | - |
| @sigaouli | 27,193 | - | - |
| @guybwrryman | 24,868 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
2,817
Followers With Bio
7,183
Followers Without Bio
28.17%
% With Bio
71.83%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,248 analyzed211,817
Combined Engagement
0
Total Likes
211,817
Total Retweets
42,363
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @realmadrid: 👑 ¡REYES DE EUROPA! 👑 #CHAMP14NS https://t.co/iXTUsoXRJM
RT @DjokerNole: 🏆2️⃣2️⃣🙏🏼❤️ https://t.co/EozfCqP66s
RT @realmadrid: 🏆 #CHAMP14NS 🏆 https://t.co/QyeaNMUOAw
RT @CBF_Futebol: REI PELÉ 👑👑👑 https://t.co/epP8zZHRYr
RT @DjokerNole: 🙏🏼❤️❤️❤️❤️❤️❤️❤️ https://t.co/MWP4VRwvfg
Key Insights & Takeaways
The account frequently interacts with major football clubs like Juventus FC, indicating a strategic focus on international visibility. It uses emojis and hashtags to create a more engaging and relatable tone. The content often includes links to official announcements or events, reinforcing its role as a credible source of information.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,038
- + 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 @FSSrbije reveals an well-established Twitter presence with 77,038 followers. The account demonstrates a content-creator strategy, averaging 267.1 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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