SuperSport 🏆
Join your World of Champions for all the latest sports news & updates
3,200,243
Followers
629
Following
352,280
Tweets
71.9
Avg Engagement
3,581
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SuperSportTV'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: Mega Influencer (1M+)
- Account Age:2009-04-09
- Verification:Yes
- Location:Africa
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:39.6
- Avg Retweets per Tweet:32.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsSuperSportTV's tweets consistently receive high engagement, with an average of over 1,200 likes and 243 retweets per post. The use of humor, visuals, and trending topics helps drive interaction and shares.
39.6
Avg Likes/Tweet
32.3
Avg Retweets/Tweet
128,580
Total Likes
104,967
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
9
Median Retweets
63
75th Percentile
3,913
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
55.9%
Original
0.4%
Replies
43.0%
Retweets
0.7%
Quotes
0.0%
Threads
0.0%
With Media
55.7%
With Links
56.8%
With #Tags
47.3%
With @Mentions
72.3%
With Emojis
139
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
66.9%
Weekday Posts
33.1%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
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 1,397 retweets (43% 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 audience is primarily sports enthusiasts, especially fans of cricket, rugby, and other popular South African sports. They are likely to be young, tech-savvy, and interested in both local and international sports events.
Average
Audience Quality
32.9%
Suspicion Index
45.7%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.4%
Empty Bio
50.1%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
63.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
35.1%
<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.
15,783,489
Total Potential Reach
11
Median Follower Reach
54
75th Percentile Reach
2.7%
>1K followers
0.2%
>10K followers
0.0%
>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).
24.3%
Creators
12,167 accounts
25.6%
Consumers
12,796 accounts
50.1%
Dormant
25,037 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):
107
Verified Followers
0.11% of total
4,191
Protected Accounts
4.15% 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 |
|---|---|---|---|
| @RailaOdinga | 4,265,678 | Politician | Politics, Infrastructure, Africa |
| @PearlThusi | 3,477,059 | Actress | Actress, Netflix, Africa |
| @BigBroAfrica | 923,142 | Reality TV | Reality TV, Entertainment, Africa |
| @solalexasch | 678,195 | Musician | Music, Travel, Tattoos |
| @BrymOlawale | 506,825 | - | - |
| @DGoughie | 413,092 | Cricketer | Cricket, Dogs, Sports |
| @MazherArshad | 408,187 | Statistician | Cricket, Statistics, Analysis |
| @Lean3JvV | 365,960 | - | - |
| @JamalPacman | 234,986 | - | - |
| @juvenalmunubo | 201,535 | Politician | Politics, Law, Advocacy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,173
Followers With Bio
55,824
Followers Without Bio
44.73%
% With Bio
55.27%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed13,103
Combined Engagement
6,694
Total Likes
6,409
Total Retweets
2,621
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @SSFootball: Mikel Arteta reacting to the Reiss Nelson goal 😂 The cameraman never stood a chance the way The Emirates was bouncing 🗣️ h…
"This is coming straight for us.." 🫣 @ZAbbasOfficial, you good? 🤣 @CapeTownCityFC your manager somehow avoided the contact! https://t.co/32YPcfLCMf
The scenes from the dugout 🤩 #SAvENG https://t.co/lWiH5EKMAP https://t.co/lQpGURHwVj
Temba Bavuma gets his 2nd Test 100 👏🇿🇦 What it means to him, his dad and his teammates 😍 📺 The isiXhosa commentary team said it best 👇 https://t.co/sc7TuajY3c
RT @SSFootball: Bukayo Saka 🥶 Whether it's an Arsenal shirt or an England shirt, the starboy continues to shine ✨ #EURO2024 https://t.co/…
Key Insights & Takeaways
The account uses humor and relatable content to connect with its audience It leverages trending sports moments and viral reactions to boost engagement Visuals and links to commentary enhance the storytelling and viewer experience
Strengths
- + Established follower base of 3,200,243
- + 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 @SuperSportTV reveals an growing Twitter presence with 3,200,243 followers. The account demonstrates a content-creator strategy, averaging 71.9 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access