Football Manager
Progress never stops in #FM24 - Out NOW across platforms. Get started using the link below.
469,968
Followers
927
Following
74,472
Tweets
141.9
Avg Engagement
1,368
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FootballManager'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:2009-07-14
- Verification:Yes
- Location:Global
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:132.4
- Avg Retweets per Tweet:9.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account maintains a high level of engagement, with consistent likes and retweets. The use of humor and relatable content helps to keep the audience interested and involved.
132.4
Avg Likes/Tweet
9.6
Avg Retweets/Tweet
430,041
Total Likes
31,032
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
25
75th Percentile
15,089
Top Tweet
0.3
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
7.9%
Original
89.0%
Replies
2.0%
Retweets
1.1%
Quotes
0.0%
Threads
0.0%
With Media
28.1%
With Links
9.1%
With #Tags
91.8%
With @Mentions
54.3%
With Emojis
86
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
11.3
Reply/Original Ratio
0.53
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.4%
Weekday Posts
14.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 66 retweets (2% 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 3,249 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 consists mainly of football fans and gamers who are interested in the latest game updates and player data. They are likely to be active on social media and engaged with sports-related content.
Average
Audience Quality
21.8%
Suspicion Index
29.7%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.1%
Empty Bio
23.1%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
49.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
15.3%
<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.
17,600,055
Total Potential Reach
28
Median Follower Reach
125
75th Percentile Reach
3.5%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55.7%
Creators
27,874 accounts
21.2%
Consumers
10,584 accounts
23.1%
Dormant
11,542 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):
505
Verified Followers
0.5% of total
10,040
Protected Accounts
9.94% 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 |
|---|---|---|---|
| @werevertumorro | 8,721,758 | Influencer | Gaming, Comedy, Email Marketing |
| @Wolves | 1,194,197 | Sports Team | football, academy, esports |
| @luculucuaaan | 1,132,405 | - | - |
| @Ligue1_ENG | 1,045,884 | Sports Media | Football, French league, Champions Trophy |
| @LuisOmarTapia | 894,167 | Sports commentator | Soccer, Champions League, Commentator |
| @aa9skillz | 714,414 | YouTuber | FIFA, YouTube, Gaming |
| @afcbournemouth | 672,043 | Football Club | Football, Academy, Events |
| @paul_steele | 647,431 | Travel Blogger | Travel, hiking, photography |
| @markgoldbridge | 633,536 | Presenter | Football, Manchester United, Presenter |
| @lamacope | 544,161 | Sports Journalist | Sports, Journalism, Broadcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,354
Followers With Bio
41,645
Followers Without Bio
58.77%
% With Bio
41.23%
% 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 3,249 analyzed53,862
Combined Engagement
50,743
Total Likes
3,119
Total Retweets
10,772
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
@FabrizioRomano A here we go that gets our approval ✅
https://t.co/4u0gClxbsE https://t.co/LUrowfAtFZ
#FM23Beta ⏳ https://t.co/CYoHJVd8J6
The most signed player on #FM23 🌟 They’ve got a good one 🤝 https://t.co/E2q5f0JozQ
@FabrizioRomano We’ve been a Moukoko fan for a while now 😅
Key Insights & Takeaways
The account uses humor and relatable content to engage the audience It leverages player-related news to drive interaction and interest It promotes game updates and new features to maintain user excitement
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 469,968
- + 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 @FootballManager reveals an well-established Twitter presence with 469,968 followers. The account demonstrates a conversation-first approach, averaging 141.9 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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