Nizaar Kinsella
✍️🏽football correspondent for @StandardSport. See also: YouTube/Facebook/Instagram @nizaarkinsella. 📽📸🇬🇧🇲🇦
489,689
Followers
3,163
Following
82,630
Tweets
677.0
Avg Engagement
2,706
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NizaarKinsella'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:2009-10-25
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:516.0
- Avg Retweets per Tweet:161.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive a high number of likes and retweets, indicating a loyal and active audience. The engagement suggests that his content is both informative and timely.
516.0
Avg Likes/Tweet
161.1
Avg Retweets/Tweet
1,676,848
Total Likes
523,424
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
260
Median Likes
30
Median Retweets
747
75th Percentile
59,487
Top Tweet
1.38
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
36.0%
Original
18.5%
Replies
33.1%
Retweets
12.3%
Quotes
0.0%
Threads
0.1%
With Media
35.3%
With Links
31.2%
With #Tags
39.0%
With @Mentions
11.8%
With Emojis
134
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
64.0%
Weekday Posts
36.0%
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 1,077 retweets (33% 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 followersHis followers are likely football enthusiasts and fans of specific clubs, given his focus on club-related content. The audience is engaged and interested in in-depth analysis and updates.
Average
Audience Quality
29.9%
Suspicion Index
37.3%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.6%
Empty Bio
37.3%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
65.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
23.0%
<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.
31,884,480
Total Potential Reach
16
Median Follower Reach
75
75th Percentile Reach
2.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
33.4%
Creators
16,697 accounts
29.3%
Consumers
14,657 accounts
37.3%
Dormant
18,646 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):
288
Verified Followers
0.29% of total
5,608
Protected Accounts
5.55% 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 |
|---|---|---|---|
| @JohnCena | 14,104,271 | Wrestler | Wrestling, Motivation, Self-promotion |
| @StanCollymore | 894,190 | Football Analyst | Football, Anti-Racism, Mental Health |
| @Football__Tweet | 851,827 | - | - |
| @theJeremyVine | 788,858 | Broadcaster | radio, eggheads, poetry |
| @Qatari | 570,392 | Lawyer | Real Madrid, PSG, Arsenal |
| @wefollowbackd | 457,145 | Football Blogger | Football, News, Sport |
| @M_455K | 455,899 | - | - |
| @B24PT | 449,036 | Sports Media | Desporto, Entretenimento, Adeptos |
| @talkSPORTDrive | 411,425 | - | - |
| @CentreTransfer | 406,344 | Sports News | Transfer news, gossip, updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,777
Followers With Bio
50,222
Followers Without Bio
50.27%
% With Bio
49.73%
% 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
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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 analyzed143,604
Combined Engagement
0
Total Likes
143,604
Total Retweets
28,721
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @IanWright0: Everybody knows what Match of the Day means to me, but I’ve told the BBC I won’t be doing it tomorrow. Solidarity.
RT @FreefromTorture: BREAKING: a Holocaust survivor just confronted Suella Braverman to say: your hateful language has consequences https:/…
RT @Enzo13Fernandez: A dream come true! 💙 Let's go, @ChelseaFC https://t.co/XoiQkKHdKG
RT @Mahrez22: 🇹🇷🙏🏼
RT @tammyabraham: The greatest of all time 🐐🐐🐐 Thank you. https://t.co/TJOkVy8lai
Key Insights & Takeaways
He frequently covers player transfers and team dynamics, which are popular topics among football fans. His content often includes personal opinions and insights, which help build a connection with his audience. He leverages multiple platforms to expand his reach and maintain a consistent presence in the football community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 489,689
- + 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 @NizaarKinsella reveals an well-established Twitter presence with 489,689 followers. The account demonstrates a content-creator strategy, averaging 677.0 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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