Hachim Mastour
La ℱantasia fa la differenza ✨
80,324
Followers
89
Following
3,328
Tweets
53.3
Avg Engagement
254
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fantasyhachi'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:2013-06-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,069
- Avg Likes per Tweet:28.2
- Avg Retweets per Tweet:25.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,069 tweetsTheir tweets receive an average of 1,572 likes and 1,223 retweets, indicating a highly engaged audience. The content is well-received and often shared across their network.
28.2
Avg Likes/Tweet
25.1
Avg Retweets/Tweet
86,649
Total Likes
76,894
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
5
75th Percentile
11,394
Top Tweet
0.66
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
22.5%
Original
52.8%
Replies
24.7%
Retweets
0.0%
Quotes
0.0%
Threads
0.1%
With Media
16.8%
With Links
10.7%
With #Tags
93.6%
With @Mentions
10.5%
With Emojis
58
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.34
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.9%
Weekday Posts
20.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,069 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 757 retweets (25% 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 3,069 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 followersTheir audience appears to be sports enthusiasts, particularly fans of AC Milan and Italian football. They also attract followers interested in motivational and inspirational content.
Average
Audience Quality
29.8%
Suspicion Index
34.3%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.8%
Empty Bio
34.6%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
64.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
22.9%
<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.
9,837,347
Total Potential Reach
24
Median Follower Reach
110
75th Percentile Reach
3.3%
>1K followers
0.5%
>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).
42.8%
Creators
4,280 accounts
22.6%
Consumers
2,260 accounts
34.6%
Dormant
3,460 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):
23
Verified Followers
0.23% of total
906
Protected Accounts
9.06% of total
6 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 |
|---|---|---|---|
| @sportbible | 2,111,413 | Sports Media | Sport, Lifestyle, Entertainment |
| @6BillionPeople | 2,020,042 | - | - |
| @frafacchinetti | 1,230,348 | Entertainer | Music, Entertainment, Technology |
| @esterana_ | 463,967 | Philosopher | Destiny, Circumstances, Human |
| @arryadiatv | 358,486 | Sports broadcaster | Sports, Television, Morocco |
| @JulianMarley | 271,632 | Musician | Reggae, Music, Family |
| @FuchsOfficial | 182,285 | Soccer Player | Soccer, Esports, Fatherhood |
| @HalfordisMe | 178,028 | Musician | Music, Metal, Coma |
| @ninaabdelmalak | 126,366 | Singer | Singer, Filmmaking, Lebanon |
| @ProsMarocains | 120,523 | Sports News | Football, Moroccan players, National teams |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,425
Followers With Bio
4,575
Followers Without Bio
54.25%
% With Bio
45.75%
% 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 3,069 analyzed22,756
Combined Engagement
4,757
Total Likes
17,999
Total Retweets
4,551
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @Phil_Coutinho: with @luis16suarez . We're all the same. #Saynotoracism. http://t.co/rV4TVtT43e
Ramadan Karim to all Muslims🌙🙏🏽 http://t.co/uqgZGzRLek
Direzione Malaga!!! ✈️💪🏽⚽️ @ms_foot_ltd http://t.co/cfitGp3DaC
Frère!! 😜✌🏽 @MedhiBenatia http://t.co/TSqw0bCUz6
Thanks for the visit, my friend 😉👊 @KPBofficial http://t.co/md7QmAWSLp
Key Insights & Takeaways
They leverage sports events to boost engagement and visibility Their content is highly motivational and inspirational, resonating with a broad audience They use hashtags and mentions to increase reach and interaction
Strengths
- + Established follower base of 80,324
- + High community engagement through conversations
- + 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 @fantasyhachi reveals an growing Twitter presence with 80,324 followers. The account demonstrates a conversation-first approach, averaging 53.3 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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