Sport360°
Football ➡️ @Sport360Foot
105,012
Followers
1,416
Following
145,960
Tweets
743.4
Avg Engagement
640
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sport360'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:2010-09-18
- Verification:No
- Location:Dubai/Abu Dhabi, UAE
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:708.9
- Avg Retweets per Tweet:34.5
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,224 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. Its tweets often spark conversations and debates among followers.
708.9
Avg Likes/Tweet
34.5
Avg Retweets/Tweet
2,285,394
Total Likes
111,203
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
58
Median Likes
5
Median Retweets
383
75th Percentile
43,765
Top Tweet
7.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
88.2%
Original
0.4%
Replies
10.9%
Retweets
0.5%
Quotes
0.0%
Threads
0.0%
With Media
98.9%
With Links
59.5%
With #Tags
18.9%
With @Mentions
82.9%
With Emojis
122
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78.0%
Weekday Posts
22.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,224 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 352 retweets (11% 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 3,224 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 10,999 followersThe audience is primarily football enthusiasts and fans of top players like Messi and Ronaldo. They are interested in in-depth analysis and discussions about the sport.
Average
Audience Quality
30.4%
Suspicion Index
33.2%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.7%
Empty Bio
32.8%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
73.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
19.8%
<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.
2,698,332
Total Potential Reach
15
Median Follower Reach
66
75th Percentile Reach
2.5%
>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).
39.3%
Creators
4,325 accounts
27.8%
Consumers
3,062 accounts
32.8%
Dormant
3,612 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):
22
Verified Followers
0.2% of total
785
Protected Accounts
7.14% 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 |
|---|---|---|---|
| @IamMzilikazi | 550,468 | Musician | Pan-African music, Album, Rise |
| @saraibrahim2619 | 117,221 | - | - |
| @Sh__kh3 | 97,664 | Social Media Influencer | Social Media, Engineer, Twitter |
| @Misfer_KH | 72,296 | Broadcaster | Sports, Broadcasting, Saudi Arabia |
| @MSArslanSadiq | 68,940 | Journalist | Entrepreneur, Journalist, Activist |
| @ChHamidHameed | 54,622 | - | - |
| @Msohailsays | 44,663 | Political Activist | PTI, Pakistan, Future |
| @YousafzaiViews | 41,723 | Civil Engineer | Civil Engineering, Politics, Current Affairs |
| @ishawkii14 | 39,387 | - | - |
| @blogsinurdu | 38,718 | Blogger | Blogging, Services, Contact Form |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,867
Followers With Bio
5,132
Followers Without Bio
53.34%
% With Bio
46.66%
% 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 3,224 analyzed142,928
Combined Engagement
135,490
Total Likes
7,438
Total Retweets
28,586
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
If Ronaldo has Messi, who does Kohli have? 🤔🐐 https://t.co/FYMFryMA7a
Same energy 🤝 https://t.co/DUSOGMcSCG
Which #T20WorldCup final do you want to see? 🏆 🇵🇰 🆚 🇮🇳 🏴 🆚 🇳🇿 🇮🇳 🆚 🇳🇿 🇵🇰 🆚 🏴 https://t.co/rMhYgtWbDr
He's back 👑 #AsiaCup2022 #ViratKohli𓃵 https://t.co/yFk82liWJA
Mohammad Rizwan 🤝 Cheteshwar Pujara A partnership we cannot wait to see at Sussex 🇵🇰|🇮🇳 https://t.co/h0BkNIT2ZB
Key Insights & Takeaways
The account focuses on high-profile football players and their rivalries, which drives engagement. It leverages major tournaments like the T20 World Cup to attract a wider audience. Content often includes thought-provoking questions that encourage user interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 105,012
- + 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 @Sport360 reveals an well-established Twitter presence with 105,012 followers. The account demonstrates a content-creator strategy, averaging 743.4 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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