Football Outsiders
Football lives here. Advanced football stats and analysis. Tech support: [email protected].
77,587
Followers
537
Following
17,871
Tweets
38.4
Avg Engagement
2,499
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fboutsiders'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:2010-03-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:17.7
- Avg Retweets per Tweet:20.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,200 tweetsThe account consistently receives high engagement with an average of 1,145 likes and 139 retweets per tweet. Its verified status and active posting schedule contribute to its strong interaction rates.
17.7
Avg Likes/Tweet
20.7
Avg Retweets/Tweet
56,577
Total Likes
66,245
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
14
75th Percentile
49,647
Top Tweet
0.49
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
77.3%
Original
4.2%
Replies
17.4%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
91.7%
With Links
24.2%
With #Tags
37.0%
With @Mentions
43.8%
With Emojis
142
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81.5%
Weekday Posts
18.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 558 retweets (17% 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 3,200 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 sports enthusiasts interested in data-driven insights. It also attracts professionals and students looking for advanced statistical analysis of the game.
Good
Audience Quality
19.3%
Suspicion Index
22.8%
Low-Quality %
101
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.7%
Empty Bio
13.1%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
40.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.2%
No URL
8.9%
<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.
25,166,452
Total Potential Reach
101
Median Follower Reach
308
75th Percentile Reach
9.6%
>1K followers
1.6%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
73.8%
Creators
7,380 accounts
13.1%
Consumers
1,307 accounts
13.1%
Dormant
1,313 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):
207
Verified Followers
2.07% of total
1,201
Protected Accounts
12.01% 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 |
|---|---|---|---|
| @JohnCena | 14,097,410 | Wrestler | Wrestling, Motivation, Self-promotion |
| @davidaldridgedc | 667,111 | Sports Journalist | Basketball, Journalism, Podcasting |
| @gmfb | 575,586 | Sports Analyst | Football, NFL, Morning TV |
| @Reflog_18 | 549,472 | - | - |
| @mauriciopedroza | 311,358 | Sports Commentator | Sports, Rock n' Roll, Potosino |
| @AndrewSiciliano | 221,348 | Sports Broadcaster | NFL, Red Zone Channel, Sports |
| @thislukesmith | 207,907 | Game Developer | gaming, director, destiny |
| @Schultz_Report | 200,413 | Sports Analyst | Sports, Analysis, Podcasts |
| @mfarrellsports | 157,042 | Football Analyst | Football, Columnist, Rivals |
| @davidhelman_ | 145,293 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,327
Followers With Bio
3,673
Followers Without Bio
63.27%
% With Bio
36.73%
% 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 3,200 analyzed56,388
Combined Engagement
5,983
Total Likes
50,405
Total Retweets
11,278
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @BuffaloBills: https://t.co/4Fyd2JZVLb
The NFL's deepest rosters 🗣️ https://t.co/FGorUt3Bks
The best offenses by DVOA so far 💥 https://t.co/Doa4Cspyvz
The top passers last season on deep balls 💥 https://t.co/Q3uDXq6Idg
The top offenses of Week 11 💥 https://t.co/yECytwFbq5
Key Insights & Takeaways
The NFL's deepest rosters 🗣️ https://t.co/FGorUt3Bks The best offenses by DVOA so far 💥 https://t.co/Doa4Cspyvz The top passers last season on deep balls 💥 https://t.co/Q3uDXq6Idg
Strengths
- + Established follower base of 77,587
- + 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 @fboutsiders reveals an growing Twitter presence with 77,587 followers. The account demonstrates a content-creator strategy, averaging 38.4 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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