The F2
⬇️ ROBERTO CARLOS TEACHES ME HIS INSANE FREE KICK 😱💫☄️
299,660
Followers
601
Following
34,406
Tweets
326.9
Avg Engagement
252
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheF2'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:2011-04-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:286.7
- Avg Retweets per Tweet:40.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsThe account maintains a high level of engagement, with tweets receiving substantial likes and retweets. The use of hashtags and links to videos suggests a focus on visual and interactive content.
286.7
Avg Likes/Tweet
40.1
Avg Retweets/Tweet
917,564
Total Likes
128,459
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
30
Median Likes
2
Median Retweets
393
75th Percentile
16,369
Top Tweet
1.09
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
38.8%
Original
47.0%
Replies
8.2%
Retweets
5.9%
Quotes
0.0%
Threads
0.2%
With Media
48.0%
With Links
16.1%
With #Tags
75.2%
With @Mentions
77.1%
With Emojis
67
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.21
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 264 retweets (8% 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 3,200 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 followersThe audience appears to be football enthusiasts, especially those interested in dramatic and skillful plays. The content is likely shared by fans who enjoy analyzing and celebrating standout performances.
Average
Audience Quality
27.0%
Suspicion Index
32.1%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.7%
Empty Bio
31.7%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
61.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
20.5%
<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.
85,967,635
Total Potential Reach
17
Median Follower Reach
95
75th Percentile Reach
3.2%
>1K followers
0.4%
>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).
44.1%
Creators
22,058 accounts
24.1%
Consumers
12,070 accounts
31.7%
Dormant
15,872 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):
392
Verified Followers
0.39% of total
11,020
Protected Accounts
10.91% 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 |
|---|---|---|---|
| @ChampionsLeague | 47,999,973 | Football Organizer | Football, Europe, Youth |
| @WayneRooney | 17,197,133 | Footballer | Football, Derby County, Charity |
| @JohnCena | 14,103,028 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CH14_ | 8,812,140 | Soccer Player | Soccer, Faith, Blessed |
| @goal | 8,193,542 | Football Analyst | football, news, insight |
| @GordonRamsay | 7,697,329 | Chef | Cooking, Food, Restaurants |
| @ollymurs | 6,827,458 | Singer | Music, Touring, Summer |
| @jackwhitehall | 6,057,878 | Actor/Comedian | Comedy, Acting, Entertainment |
| @FaZeClan | 5,749,926 | Esports | Esports, Champions, FaZeUp |
| @Joe_Sugg | 4,708,946 | Entertainer | Entertainment, Comedy, Theatre |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,000
Followers With Bio
47,999
Followers Without Bio
52.48%
% With Bio
47.52%
% 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 3,200 analyzed40,580
Combined Engagement
21,447
Total Likes
19,133
Total Retweets
8,116
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @FCNantes: Où que tu sois, on pense à toi 💛 #PrayForSala https://t.co/vloUL3yMyc
We’re still amazed by this tackle, graft & outrageous pass from @WayneRooney 😅🤩🎥 https://t.co/fxfFG0rebh 🔥 @mls #MLSAllStar @Target @dcunited https://t.co/pS4IdxT0Fy
How’s this possible from Pedro 🙉🙉 https://t.co/FgCozY5zv5
https://t.co/nwgF3eJlen
WHAT IS THIS FROM MESSI 😱🔥🤷🏻♂️ https://t.co/iSjamG3Uzi
Key Insights & Takeaways
The user frequently shares highlights of exceptional football plays, which likely drives engagement. Content often includes links to videos, indicating a preference for visual storytelling. The use of emojis and expressive language suggests a casual and entertaining tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 299,660
- + 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 @TheF2 reveals an well-established Twitter presence with 299,660 followers. The account demonstrates a conversation-first approach, averaging 326.9 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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