Free Super Tips
Free betting tips, predictions and accumulators, every day, to help you #BuildBetterBets 18+ | BeGambleAware
410,131
Followers
618
Following
723,085
Tweets
5.6
Avg Engagement
2,268
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FootySuperTips'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:2013-05-13
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:4.4
- Avg Retweets per Tweet:1.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains moderate engagement with an average of 236 likes and 115 retweets per tweet. The use of verified links and trending topics likely contributes to its engagement levels.
4.4
Avg Likes/Tweet
1.2
Avg Retweets/Tweet
14,143
Total Likes
3,905
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
4
75th Percentile
1,538
Top Tweet
0.01
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
84.6%
Original
12.3%
Replies
1.7%
Retweets
1.4%
Quotes
0.0%
Threads
0.0%
With Media
54.7%
With Links
6.3%
With #Tags
9.5%
With @Mentions
85.0%
With Emojis
178
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 55 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 3,250 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 is likely sports betting enthusiasts and football fans looking for expert insights and predictions. The content is tailored to individuals interested in making informed betting decisions.
Average
Audience Quality
21.3%
Suspicion Index
29.2%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.4%
Empty Bio
27.0%
<10 Tweets
9.1%
Mass Following (>2K)
0.0%
New (<90 days)
37.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
16.9%
<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.
19,004,357
Total Potential Reach
38
Median Follower Reach
165
75th Percentile Reach
4.9%
>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).
49.1%
Creators
24,571 accounts
23.8%
Consumers
11,905 accounts
27.0%
Dormant
13,524 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):
229
Verified Followers
0.23% of total
9,370
Protected Accounts
9.37% 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 |
|---|---|---|---|
| @Sporf | 1,387,281 | Sports Media | Sport, Conversation, Social Chain Group |
| @Squawka | 1,234,197 | Football Analysis | football, stats, analysis |
| @Saudi49er | 1,139,396 | Entrepreneur | faith, trust, gratitude |
| @sportingking365 | 804,560 | Sports Betting | Punting, Lifestyle, Sports |
| @shaffihdauda1 | 779,141 | Sports Analyst | Sports, Programs, Analyst |
| @Mrbankstips | 656,544 | Crypto Betting | Crypto, Betting, NFTs |
| @mattletiss7 | 620,206 | Football pundit | Football, pundit, Southampton |
| @ammr | 603,268 | Digital Marketer | Digital Marketing, Social Media, Training |
| @RealRomfordPele | 511,624 | Footballer | Football, TalkSport, After-dinner speaker |
| @StatmanDave | 389,431 | Football Analyst | Football, Analyst, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,625
Followers With Bio
42,375
Followers Without Bio
57.62%
% With Bio
42.38%
% 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 3,250 analyzed2,269
Combined Engagement
1,658
Total Likes
611
Total Retweets
454
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
It's hard to look past Ballon d'Or number EIGHT for Lionel Messi ⭐️🐐 https://t.co/4egAoD7aIc
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💷 2️⃣x £20 FREE BET GIVEAWAY! 💷 🟢 Thanks to @bet365, we're back with TWO more chances at winning a £20 free bet! For your chance to win: 🔁 Retweet 🙌 Follow @FootySuperTips & @bet365 Good luck!🤞 #Ad https://t.co/9KAW2wo7mr
💷 2️⃣x £20 FREE BET GIVEAWAY! 💷 🟢 Thanks to @bet365, we're back with TWO more chances at winning a £20 free bet! For your chance to win: 🔁 Retweet 🙌 Follow @FootySuperTips & @bet365 Good luck!🤞 #Ad https://t.co/RB29XD62hI
💷 2️⃣x £20 FREE BET GIVEAWAY! 💷 🟢 Thanks to @bet365, we're back with TWO more chances at winning a £20 free bet! For your chance to win: 🔁 Retweet 🙌 Follow @FootySuperTips & @bet365 Good luck!🤞 #Ad https://t.co/LLd1fpY2Nc
Key Insights & Takeaways
The account frequently highlights high-profile athletes like Lionel Messi, which helps attract attention and maintain relevance. It uses a mix of predictions, tips, and commentary to provide value to its audience. The content is often tied to major sporting events, which can drive engagement and follower interaction.
Strengths
- + Established follower base of 410,131
- + 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 @FootySuperTips reveals an growing Twitter presence with 410,131 followers. The account demonstrates a content-creator strategy, averaging 5.6 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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