Michél Dinzey
Official Twitter Account of Michél Dinzey 🇩🇪🇨🇩 Scout of 💙🤍
72,312
Followers
218
Following
75,202
Tweets
502.3
Avg Engagement
82
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mazingu_Dinzey'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:2009-03-26
- Verification:No
- Location:Hamburg, Germany
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:1.1
- Avg Retweets per Tweet:501.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,193 tweetsThe account receives an average of 22 likes and 3 retweets per tweet, indicating moderate engagement. The engagement is likely driven by football-related discussions and interactions with other accounts.
1.1
Avg Likes/Tweet
501.3
Avg Retweets/Tweet
3,410
Total Likes
1,600,532
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
303,840
Top Tweet
6.95
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
68.6%
Original
21.8%
Replies
6.0%
Retweets
3.6%
Quotes
0.0%
Threads
0.0%
With Media
9.2%
With Links
60.1%
With #Tags
40.1%
With @Mentions
40.6%
With Emojis
63
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.32
Reply/Original Ratio
0.6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
50.2%
Weekday Posts
49.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 192 retweets (6% 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 3,193 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 and scouts interested in player analysis and insights. The content appeals to those following German and Congolese football figures.
Below Average
Audience Quality
41.9%
Suspicion Index
62.8%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
72.7%
Empty Bio
66.4%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
78.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
53.0%
<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.
11,131,457
Total Potential Reach
7
Median Follower Reach
34
75th Percentile Reach
2.2%
>1K followers
0.6%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
17.2%
Creators
1,721 accounts
16.4%
Consumers
1,643 accounts
66.4%
Dormant
6,636 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
390
Protected Accounts
3.9% of total
8 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 |
|---|---|---|---|
| @benlandis | 2,829,284 | - | - |
| @johnrampton | 1,220,730 | Entrepreneur | Entrepreneurship, Marketing, Networking |
| @JackPhan | 1,105,434 | Entrepreneur | Visionary, Startup Entrepreneur, AdobeInsider |
| @wefollowbackd | 456,043 | Football Blogger | Football, News, Sport |
| @HerthaBSC | 369,448 | Football Club | Football, Berlin, eSports |
| @JanAageFjortoft | 344,533 | Sports Commentator | Football, Media, Adviser |
| @ARTEde | 340,116 | Media | Programm, Highlights, Kultur |
| @EssexPR | 290,696 | Pub Owner | Nightlife, Pubs, Events |
| @11Freunde_de | 276,701 | Sports Journalist | Football, News, Videos |
| @matzeknop | 276,461 | Entertainer | Comedy, Show, Tickets |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
2,734
Followers With Bio
7,266
Followers Without Bio
27.34%
% With Bio
72.66%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,193 analyzed969,792
Combined Engagement
0
Total Likes
969,792
Total Retweets
193,958
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @Kaepernick7: Believe in something, even if it means sacrificing everything. #JustDoIt https://t.co/SRWkMIDdaO
RT @Kaepernick7: Believe in something. Even if it means sacrificing everything. #JustDoIt https://t.co/x5TnU7Z51i
RT @Justinfication: Wow, I’ve seen/heard a lot of MLK footage but this is the first time I’ve seen this interview. How profound this is. https://t.co/Lm8SR2z3bT
RT @thedad: An 88-year-old dad is reunited with his 53-year-old down syndrome son after spending a week apart for the first time ever. https://t.co/5hvl0FkGKS
RT @IkerCasillas: Todo controlado por aquí, un susto grande pero con las fuerzas intactas. Muchísimas gracias a todos por los mensajes y el cariño 😃💪🏼 https://t.co/i3TXsELUGD
Key Insights & Takeaways
The account frequently interacts with football analysts and players, highlighting its role in the football community. It uses hashtags like #dopa and #hahohe to engage with specific fan groups and events. The content is centered around scouting and player analysis, suggesting a professional focus.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,312
- + 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 @Mazingu_Dinzey reveals an well-established Twitter presence with 72,312 followers. The account demonstrates a content-creator strategy, averaging 502.3 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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