90min
⚽️ Handing football back to the fans.
270,103
Followers
1,000
Following
104,960
Tweets
302.5
Avg Engagement
1,283
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @90min_Football'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:2011-06-05
- Verification:Yes
- Location:London, England
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:127.9
- Avg Retweets per Tweet:174.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsThe account consistently achieves high engagement rates, indicating a strong connection with its audience. Promotional tweets, such as giveaways and event announcements, drive interaction and follower growth.
127.9
Avg Likes/Tweet
174.6
Avg Retweets/Tweet
415,149
Total Likes
566,496
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
77
Median Likes
6
Median Retweets
202
75th Percentile
116,086
Top Tweet
1.12
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
81.0%
Original
6.6%
Replies
11.4%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
72.3%
With Links
10.9%
With #Tags
20.7%
With @Mentions
67.9%
With Emojis
124
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
66.9%
Weekday Posts
33.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 371 retweets (11% 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 3,245 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 primary audience consists of football fans, particularly those interested in historic matches and events. The content appeals to both casual and dedicated followers who enjoy nostalgia and community-driven stories.
Average
Audience Quality
23.6%
Suspicion Index
26.8%
Low-Quality %
49
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.9%
Empty Bio
21.9%
<10 Tweets
12.7%
Mass Following (>2K)
0.0%
New (<90 days)
52.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
12.8%
<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.
39,116,213
Total Potential Reach
49
Median Follower Reach
193
75th Percentile Reach
5.1%
>1K followers
0.5%
>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).
54.7%
Creators
27,351 accounts
23.4%
Consumers
11,703 accounts
21.9%
Dormant
10,946 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):
319
Verified Followers
0.32% of total
8,929
Protected Accounts
8.84% of total
5 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 |
|---|---|---|---|
| @FabrizioRomano | 14,478,174 | Journalist | Football, Transfers, News |
| @JohnCena | 14,101,198 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Carra23 | 2,196,358 | Football Pundit | Football, TV punditry, Charity |
| @ChrisSmalling | 1,794,095 | - | - |
| @RealMattLucas | 1,258,427 | Actor | Comedy, Acting, Television |
| @termoderiver | 948,715 | Sports Analyst | River Plate, Ramón, Angelito y Gallardo |
| @ZachBoychuk | 829,251 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @DoentesPFutebol | 804,634 | Sports Blogger | Futebol, Informação, Opinião |
| @magicanoo74 | 796,822 | - | - |
| @iownjd | 777,953 | Lawyer | learn, inspire, engage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,354
Followers With Bio
36,637
Followers Without Bio
63.72%
% With Bio
36.28%
% 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 3,245 analyzed236,289
Combined Engagement
0
Total Likes
236,289
Total Retweets
47,258
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @M10: Thank you ❤️ https://t.co/Aqr4pB5SI2
RT @GarethBale11: https://t.co/QF7AogJXHE
RT @PSV: PSV and @LFC have reached an agreement on the proposed transfer of Cody Gakpo. The 23-year-old attacker will leave for England im…
RT @ChelseaFC: Mykhailo Mudryk has finalised his move from Shakhtar Donetsk after agreeing personal terms with the Blues. 🤝
RT @Arsenal: ⚫️ 𝗧𝗘𝗔𝗠𝙉𝙀𝙒𝙎 ⚡️️ 🧱 White at the back 🔙 Saka returns 💪 Jesus in attack Let’s do this - together! https://t.co/n7mlX1qjQC
Key Insights & Takeaways
The account leverages nostalgia to create emotional connections with fans. Promotional campaigns, like giveaways, effectively boost engagement and follower interaction. Highlighting iconic moments and events helps maintain a loyal and passionate audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 270,103
- + 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 @90min_Football reveals an well-established Twitter presence with 270,103 followers. The account demonstrates a content-creator strategy, averaging 302.5 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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