Booger
Country boy, Football Analyst , Born in Winnsboro , Made in Baton Rouge ,peanut butter is my weakness, Proverbs 11:25
187,950
Followers
2,375
Following
51,789
Tweets
576.3
Avg Engagement
1,400
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ESPNBooger'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:2012-07-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:203.2
- Avg Retweets per Tweet:373.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets consistently receive high likes and retweets, indicating strong audience interaction and agreement with his viewpoints.
203.2
Avg Likes/Tweet
373.2
Avg Retweets/Tweet
659,888
Total Likes
1,212,021
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
22
Median Likes
2
Median Retweets
126
75th Percentile
309,895
Top Tweet
3.07
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
33.8%
Original
39.5%
Replies
15.1%
Retweets
11.6%
Quotes
0.0%
Threads
0.0%
With Media
18.5%
With Links
3.4%
With #Tags
57.9%
With @Mentions
9.1%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
0.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
54.1%
Weekday Posts
45.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 491 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 3,248 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 followersHis audience likely includes sports fans, particularly those interested in college and NFL football, and possibly younger demographics due to his casual and relatable tone.
Average
Audience Quality
24.6%
Suspicion Index
30.9%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.9%
Empty Bio
21.0%
<10 Tweets
11.4%
Mass Following (>2K)
0.0%
New (<90 days)
56.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
13.8%
<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.
59,964,372
Total Potential Reach
43
Median Follower Reach
161
75th Percentile Reach
4.2%
>1K followers
0.7%
>10K followers
0.2%
>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).
59.2%
Creators
29,588 accounts
19.8%
Consumers
9,906 accounts
21.0%
Dormant
10,506 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):
900
Verified Followers
0.89% of total
13,315
Protected Accounts
13.18% of total
8 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 |
|---|---|---|---|
| @TwitterSports | 14,735,055 | - | - |
| @JohnCena | 14,100,160 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheTimMcGraw | 3,054,969 | Musician | Music, Country, Ultimate Edition |
| @PatMcAfeeShow | 2,836,736 | Sports commentator | Sports, Betting, Entertainment |
| @RGIII | 2,205,580 | Athlete | Family, Football, Advocacy |
| @SInow | 1,858,649 | Sports Media | Sports, TikTok, Instagram |
| @FirstTake | 1,784,958 | Sports Commentators | Sports, Debate, Analysis |
| @DeionSanders | 1,592,750 | Coach | Truth, Standtghtr, CoachPrime |
| @dc_mma | 1,452,701 | MMA Fighter | UFC, ESPN, Wrestling |
| @richeisen | 1,337,711 | Sports Broadcaster | Sports, TV, Humor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,909
Followers With Bio
45,089
Followers Without Bio
55.36%
% With Bio
44.64%
% 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 3,248 analyzed622,155
Combined Engagement
46,723
Total Likes
575,432
Total Retweets
124,431
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
RT @TomBrady: These past two months I’ve realized my place is still on the field and not in the stands. That time will come. But it’s not n…
RT @TomBrady: ❤️ https://t.co/B3KKl7DFk3
RT @AB84: https://t.co/ry23FA0xc1
Ain’t no fun when the rabbit got the gun. https://t.co/HR1Uj0N0qc
Key Insights & Takeaways
He often highlights controversial or questionable calls in games, sparking debate among fans. He uses humor and relatable references, such as peanut butter, to connect with his audience. He frequently discusses rankings and record discrepancies, showing a deep interest in sports analytics and fairness.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 187,950
- + 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 @ESPNBooger reveals an well-established Twitter presence with 187,950 followers. The account demonstrates a conversation-first approach, averaging 576.3 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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