Transfermarkt.co.uk
The latest news, rumours and market value updates from the Premier League, SPFL, Football League and international football
96,139
Followers
541
Following
33,079
Tweets
94.7
Avg Engagement
1,052
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TMuk_news'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:2009-06-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,089
- Avg Likes per Tweet:84.8
- Avg Retweets per Tweet:9.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,089 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction and trust in the content. The engagement rate suggests that the content is both timely and relevant to its followers.
84.8
Avg Likes/Tweet
9.9
Avg Retweets/Tweet
262,052
Total Likes
30,461
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
49
Median Likes
6
Median Retweets
96
75th Percentile
4,662
Top Tweet
0.98
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
78.6%
Original
6.7%
Replies
14.6%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
70.3%
With Links
22.0%
With #Tags
21.8%
With @Mentions
79.7%
With Emojis
158
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92.5%
Weekday Posts
7.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,089 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 450 retweets (15% 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 3,089 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 includes football fans, analysts, and enthusiasts who follow multiple leagues and are interested in player transfers and match updates. The content appeals to both casual and dedicated followers of the sport.
Average
Audience Quality
28.8%
Suspicion Index
38.9%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.1%
Empty Bio
38.6%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
59.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
27.7%
<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.
5,749,406
Total Potential Reach
14
Median Follower Reach
85
75th Percentile Reach
3.7%
>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).
40.3%
Creators
4,029 accounts
21.1%
Consumers
2,111 accounts
38.6%
Dormant
3,860 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):
50
Verified Followers
0.5% of total
1,009
Protected Accounts
10.09% 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 |
|---|---|---|---|
| @IIAdeb | 1,220,519 | Writer | Writing, Philosophy, Support |
| @AbsoluteChelsea | 636,913 | Sports Journalist | Football, Chelsea FC, Analysis |
| @eToro | 339,903 | Investment Trading | Investment, Social, Network |
| @FootballTalkHQ | 277,471 | Sports Journalist | Football, News, Stats |
| @Cellular_jnr | 186,056 | Influencer | yoga, space, technology |
| @FuchsOfficial | 182,280 | Soccer Player | Soccer, Esports, Fatherhood |
| @registaco | 163,539 | - | - |
| @vartatico | 104,071 | - | - |
| @RealityChelsea | 97,678 | - | - |
| @bosarh5 | 74,091 | Religious Leader | Religion, Real Madrid, Worship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,990
Followers With Bio
5,010
Followers Without Bio
49.9%
% With Bio
50.1%
% 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 3,089 analyzed19,810
Combined Engagement
18,174
Total Likes
1,636
Total Retweets
3,962
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
This is how good Arsenal have been this season 😲 https://t.co/0JnjTjwK9k
Admit it. You had no idea Thomas Müller was 𝒕𝒉𝒊𝒔 good 😲 https://t.co/3WwExyjfKs
𝗗𝗢𝗡𝗘 𝗗𝗘𝗔𝗟 Newcastle have completed the signing of Aston Villa left-back Matt Targett for £15m 👊 https://t.co/xCYPmleqpo
Cristiano Ronaldo is drawing some attention to Al-Nassr. 📱🔥 https://t.co/SrYAq8RG8Q
Lionel Messi at the 🔝 and ready to extend his lead! 🐐👀 https://t.co/5WBiIZAAuU
Key Insights & Takeaways
The account often highlights surprising player performances and transfers, which can drive engagement and curiosity. It uses emojis and sensational language to capture attention and encourage interaction. The focus on market value updates suggests a niche interest in player economics and transfer market trends.
Strengths
- + Established follower base of 96,139
- + 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 @TMuk_news reveals an growing Twitter presence with 96,139 followers. The account demonstrates a content-creator strategy, averaging 94.7 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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