Black Leopards FC
Official twitter page of Black Leopards Football Club |[email protected] | instargram-@lidodaduvha Facebook-Black Leopards Football Club
68,509
Followers
298
Following
6,257
Tweets
19.1
Avg Engagement
133
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lidodaduvha'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:2011-06-19
- Verification:No
- Location:The Football Field
Data Summary
- Tweets Analyzed:3,190
- Avg Likes per Tweet:14.6
- Avg Retweets per Tweet:4.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,190 tweetsThe account averages 552 likes and 166 retweets per tweet, indicating moderate engagement. The content is well-received by the fanbase, especially when celebrating player achievements.
14.6
Avg Likes/Tweet
4.5
Avg Retweets/Tweet
46,467
Total Likes
14,443
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
11
75th Percentile
1,599
Top Tweet
0.28
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
87.1%
Original
7.8%
Replies
5.0%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
32.2%
With Links
83.0%
With #Tags
50.7%
With @Mentions
6.6%
With Emojis
107
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
39.1%
Weekday Posts
60.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,190 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 159 retweets (5% 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 3,190 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, supporters of the Black Leopards team, and potential new followers interested in the sport. The audience is likely interested in team news and player recognition.
Average
Audience Quality
22.8%
Suspicion Index
24.5%
Low-Quality %
73
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.3%
Empty Bio
28.3%
<10 Tweets
18.9%
Mass Following (>2K)
0.0%
New (<90 days)
37.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
17.6%
<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.
11,550,778
Total Potential Reach
73
Median Follower Reach
366
75th Percentile Reach
13.4%
>1K followers
1.3%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
46.6%
Creators
4,664 accounts
25.1%
Consumers
2,507 accounts
28.3%
Dormant
2,829 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):
12
Verified Followers
0.12% of total
605
Protected Accounts
6.05% of total
5 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 |
|---|---|---|---|
| @Masandawana | 1,087,346 | Football Club | Football, Champions, Success |
| @tumisole | 817,127 | Influencer | Running, Corporate, Influential |
| @Ndi_Muvenda_ | 299,962 | Athlete | Venda culture, heritage, tradition |
| @ZakweSA | 281,655 | Musician | Music, Booking, Contact |
| @samkelemaseko | 256,436 | Reporter | Politics, Reporting, Media |
| @khama_Billiat11 | 249,011 | Footballer | Football, Kaizer Chiefs, Adidas |
| @Radio2000_ZA | 226,630 | Radio Station | Music, Memories, Nationwide |
| @FARPostZA | 204,745 | Football Bloggers | Football, Sports, News |
| @RealXavier011 | 195,347 | Entrepreneur | Music, Black Twitter, Events |
| @_HerchelleR | 166,124 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,867
Followers With Bio
3,133
Followers Without Bio
68.67%
% With Bio
31.33%
% 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 3,190 analyzed4,720
Combined Engagement
2,309
Total Likes
2,411
Total Retweets
944
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @YesWeCrann: This goalkeeper’s just gone and finished 2018 on a high... 😧🤯 https://t.co/v7Ucgs0i7i
Welcome @legend3 https://t.co/hPtUgNQHel
https://t.co/Dhcy4dKMUu
Joel Masutha resigned today from his position as Head Coach of Black Leopards FC. issued by spokesperson : Ramunenyiwa Berry
Congratulations @legend3 and Nwape Musonda https://t.co/DAAl4mJxsI
Key Insights & Takeaways
The account frequently highlights player milestones and team successes, which likely drives engagement. Content is focused on celebrating achievements and maintaining a positive brand image. The use of social media handles and links suggests an integrated approach to online presence.
Strengths
- + Established follower base of 68,509
- + 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 @lidodaduvha reveals an growing Twitter presence with 68,509 followers. The account demonstrates a content-creator strategy, averaging 19.1 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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