Tubes
TUBES AND ANGE GOLF LIFE YOUTUBE CHANNEL - https://www.youtube.com/c/TUBESANGEGOLFLIFE work inquires [email protected]
478,513
Followers
2,099
Following
10,276
Tweets
122.5
Avg Engagement
478
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TubesSoccerAM'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:2010-07-02
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:3,226
- Avg Likes per Tweet:97.9
- Avg Retweets per Tweet:24.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,226 tweetsThe account has high engagement with an average of 10,940 likes and 1,026 retweets per tweet. This suggests a loyal and active community that interacts with the content regularly.
97.9
Avg Likes/Tweet
24.5
Avg Retweets/Tweet
315,924
Total Likes
79,192
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
37
75th Percentile
37,184
Top Tweet
0.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
31.5%
Original
20.6%
Replies
26.5%
Retweets
21.4%
Quotes
0.0%
Threads
0.3%
With Media
57.6%
With Links
8.8%
With #Tags
59.8%
With @Mentions
65.7%
With Emojis
98
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.65
Reply/Original Ratio
0.81
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.7%
Weekday Posts
33.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,226 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 856 retweets (27% 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 3,226 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 likely includes soccer fans, individuals interested in lifestyle content, and those seeking motivational messages. It also attracts people looking for discussions on sports teams and player transfers.
Average
Audience Quality
22.8%
Suspicion Index
30.7%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.9%
Empty Bio
21.5%
<10 Tweets
9.8%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
13.4%
<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.
92,787,799
Total Potential Reach
55
Median Follower Reach
190
75th Percentile Reach
4.3%
>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).
56.7%
Creators
28,346 accounts
21.8%
Consumers
10,911 accounts
21.5%
Dormant
10,743 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):
561
Verified Followers
0.56% of total
12,985
Protected Accounts
12.86% of total
7 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 |
|---|---|---|---|
| @Louis_Tomlinson | 35,702,747 | Singer | Music, Fans, Gratitude |
| @JohnCena | 14,104,915 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KevinDeBruyne | 4,552,416 | Footballer | Football, Manchester City, Belgium |
| @JackWilshere | 3,668,404 | Footballer | Football, Family, Instagram |
| @VirgilvDijk | 3,265,993 | Footballer | Football, Liverpool FC, Oranje |
| @JesseLingard | 3,038,757 | Footballer | Football, Manchester United, England |
| @MbalulaFikile | 2,952,253 | Politician | Transport, Sports, Politics |
| @Joey7Barton | 2,849,278 | Footballer | Football, Philosophy, Self-improvement |
| @didierdrogba | 2,772,433 | Footballer | Football, Philanthropy, Charity |
| @LukeShaw23 | 2,547,083 | Footballer | Football, Adidas, Manchester United |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,776
Followers With Bio
47,223
Followers Without Bio
53.24%
% With Bio
46.76%
% 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 3,226 analyzed105,217
Combined Engagement
90,447
Total Likes
14,770
Total Retweets
21,043
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
🎉 6 YEARS SOBER YESTERDAY🎉 Remember people, if you’re struggling with anything, talk !!! A problem shared is a problem halved 💙 https://t.co/hFcclz2lnR
Bosh ⚽️🎯 https://t.co/Ifgp69OB7z
I’m getting older but my pace remains 🏃🏼🏃🏼🏃🏼🏃🏼🏃🏼🚂🚂🚂🚂🚂 https://t.co/s4WY0Ijxkw
Not a Liverpool fan , but all this talk about salah would be better off going to Barca or Real Madrid is bollocks . Liverpool currently 10 times better than both teams .
RT @SoccerAM: Forget Pirlo. Forget Scholes. Our midfield maestro @TubesSoccerAM ran the show at @Everton's game for @BradleysFight 🔥 #OneBr…
Key Insights & Takeaways
The account shares personal milestones and motivational messages, which resonate with followers. It provides sports commentary, particularly on Liverpool FC and Mohamed Salah, indicating a strong interest in football discussions. The account also engages with broader lifestyle topics, such as sobriety and mental health, which adds depth to its content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 478,513
- + 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 @TubesSoccerAM reveals an well-established Twitter presence with 478,513 followers. The account demonstrates a content-creator strategy, averaging 122.5 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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