AFC Leopards SC
Official X account of AFC Leopards SC | #Ingwe
112,652
Followers
309
Following
13,702
Tweets
73.7
Avg Engagement
52
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AFCLeopards'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:2011-04-15
- Verification:No
- Location:Nairobi, Kenya
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:61.8
- Avg Retweets per Tweet:11.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsTweets typically receive a high number of likes and retweets, indicating strong fan interaction. The use of humor and trending topics helps drive engagement.
61.8
Avg Likes/Tweet
11.9
Avg Retweets/Tweet
200,870
Total Likes
38,567
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
4
Median Retweets
89
75th Percentile
7,624
Top Tweet
0.65
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
61.1%
Original
35.3%
Replies
1.2%
Retweets
2.4%
Quotes
0.0%
Threads
0.2%
With Media
57.6%
With Links
90.3%
With #Tags
11.9%
With @Mentions
28.0%
With Emojis
123
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
2.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
54.8%
Weekday Posts
45.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 39 retweets (1% 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 3,249 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 consists of football fans, especially those supporting AFC Leopards SC. The content is tailored to engage supporters and promote team events.
Average
Audience Quality
22.5%
Suspicion Index
23.8%
Low-Quality %
62
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.6%
Empty Bio
25.4%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
43.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
14.1%
<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.
6,868,993
Total Potential Reach
62
Median Follower Reach
257
75th Percentile Reach
7.8%
>1K followers
0.7%
>10K followers
0.2%
>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).
44.3%
Creators
4,434 accounts
30.3%
Consumers
3,027 accounts
25.4%
Dormant
2,539 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):
21
Verified Followers
0.21% of total
526
Protected Accounts
5.26% of total
4 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 |
|---|---|---|---|
| @AbabuNamwamba | 568,520 | Politician | Foreign Affairs, Kenya, Diplomacy |
| @IamMzilikazi | 550,190 | Musician | Pan-African music, Album, Rise |
| @AnthoniaOrji | 256,909 | - | - |
| @Khalidchukuchuk | 179,948 | - | - |
| @arapuria | 157,369 | Influencer | Sports, Content Creation, Influencer |
| @steveogollaw | 153,032 | Lawyer | Law, Advocacy, Partner |
| @pulsesportske | 151,390 | Sports News | Sports, News, Updates |
| @Gideon_Kitheka | 148,834 | Solar Sales | Solar, Security, Family |
| @tonnie_wa_juja | 104,387 | - | - |
| @MarkMwandosya | 86,013 | Politician | Politics, Education, Engineering |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,640
Followers With Bio
3,360
Followers Without Bio
66.4%
% With Bio
33.6%
% 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 3,249 analyzed23,125
Combined Engagement
19,105
Total Likes
4,020
Total Retweets
4,625
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Should we sign Messi? 🤑
Kimewarambaaaaa #YAMATERE #OURSFOREVER #INGWE https://t.co/UWF3tw2kCx
FULL TIME @AFCLeopards 3 Police FC 0 ⚽️ Victor Omune ⚽️ Eugene Mukangula ⚽️ John Mark Makwata #Betsafe #OursForever #INGWE https://t.co/8x9Li3Sjcl
Should we announce Ronaldo? 🙃
Tumewapiga, ngapi? https://t.co/wBK0awu9DH
Key Insights & Takeaways
High engagement suggests a loyal and active fan base. Content often includes humor and questions to provoke discussion. Hashtags like #Ingwe and #YAMATERE are used to build community identity.
Strengths
- + Established follower base of 112,652
- + 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 @AFCLeopards reveals an growing Twitter presence with 112,652 followers. The account demonstrates a content-creator strategy, averaging 73.7 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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