SuperSport United FC
Official Twitter account of SuperSport United
363,030
Followers
2,895
Following
42,014
Tweets
37.7
Avg Engagement
315
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SuperSportFC'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:2012-01-17
- Verification:No
- Location:Johannesburg
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:31.7
- Avg Retweets per Tweet:5.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsTweets typically receive a moderate number of likes and retweets, indicating a loyal but not overly active fanbase. Engagement is consistent across various types of content, including announcements and lighthearted posts.
31.7
Avg Likes/Tweet
5.9
Avg Retweets/Tweet
103,092
Total Likes
19,307
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
25
75th Percentile
5,198
Top Tweet
0.1
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
90.3%
Original
5.6%
Replies
2.1%
Retweets
1.9%
Quotes
0.0%
Threads
0.0%
With Media
52.1%
With Links
91.7%
With #Tags
17.1%
With @Mentions
42.5%
With Emojis
130
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
46.1%
Weekday Posts
53.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 69 retweets (2% 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 3,250 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 followersThe primary audience is football fans, particularly supporters of SuperSport United. The content is tailored to engage both local and global followers of the club.
Average
Audience Quality
31.6%
Suspicion Index
38.9%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.1%
Empty Bio
51.4%
<10 Tweets
10.2%
Mass Following (>2K)
0.0%
New (<90 days)
58.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
35.7%
<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.
21,975,809
Total Potential Reach
20
Median Follower Reach
108
75th Percentile Reach
4.6%
>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).
24.9%
Creators
12,441 accounts
23.7%
Consumers
11,853 accounts
51.4%
Dormant
25,706 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):
76
Verified Followers
0.08% of total
4,644
Protected Accounts
4.64% of total
3 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 |
|---|---|---|---|
| @themichaelowen | 3,789,511 | Footballer | football, sports, pundit |
| @Masandawana | 1,073,559 | Football Club | Football, Champions, Success |
| @danielmarven | 899,322 | Entrepreneur | Entrepreneur, Activist, Artist |
| @Radio702 | 883,727 | Radio Station | News, Talk Radio, Podcasts |
| @IOL | 659,269 | News Outlet | News, Change, Stories |
| @_Hybreed_ | 645,447 | Minister | Arts, Culture, Photoshop |
| @MasechabaAfrica | 530,264 | - | - |
| @CAFCLCC | 509,699 | Sports Media | Football, Africa, Competitions |
| @CAFCLCC_ar | 494,785 | Football (Soccer) | Champions League, Confederation Cup, African Clubs |
| @Munghana | 480,191 | Radio Host | Music, News, Culture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,437
Followers With Bio
36,563
Followers Without Bio
63.44%
% With Bio
36.56%
% 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 3,250 analyzed14,722
Combined Engagement
12,337
Total Likes
2,385
Total Retweets
2,944
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Enjoy the festive break, Matsatsantsa 😅🤣 https://t.co/vCcbVuu4nm
Pre-season workout with Gabuza featuring Jamie 😂🚴🏾♂️ #SpartansUnite https://t.co/nKCbBDJ4J1
SuperSport United FC is pleased to confirm the return of coach Gavin Hunt as head coach on a twoyear deal. #WelcomeHomeGavin #SpartansUnite https://t.co/LFiTByhXoD
After 18 years at @SuperSportFC, @ronwen30 is set to leave the club to pursue a new opportunity. He leaves with the club's best wishes. #FarewellRW30 https://t.co/Zxm7Ug8Jhm
Congratulations, Siya 🤝🙌 We would like to congratulate our very own Spartan, Siyabonga Nhlapo, for completing his Advanced Diploma in Sports Management at The VAAL University Of Technology! 👨🎓 👏 More blessings and may you continue shining! 💙 #MatsatsantsaUnified https://t.
Key Insights & Takeaways
The account uses a mix of promotional and entertaining content to maintain engagement. Festive and lighthearted tweets tend to perform well in terms of engagement. Player-related and coaching updates are key topics that drive interaction.
Strengths
- + Established follower base of 363,030
- + 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 @SuperSportFC reveals an growing Twitter presence with 363,030 followers. The account demonstrates a content-creator strategy, averaging 37.7 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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