Bloody Elbow
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204,429
Followers
328
Following
271,435
Tweets
101.0
Avg Engagement
2,103
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BloodyElbow'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:2009-02-01
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,209
- Avg Likes per Tweet:93.0
- Avg Retweets per Tweet:8.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,209 tweetsBloodyElbow's tweets receive high engagement, with an average of 11k likes and 1k retweets per post. The content is well-received, indicating a strong connection with the audience.
93.0
Avg Likes/Tweet
8.0
Avg Retweets/Tweet
298,314
Total Likes
25,772
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
23
75th Percentile
37,590
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
74.2%
Original
19.9%
Replies
4.5%
Retweets
1.4%
Quotes
0.0%
Threads
0.1%
With Media
37.8%
With Links
52.1%
With #Tags
17.5%
With @Mentions
0.3%
With Emojis
123
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
28.3%
Weekday Posts
71.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,209 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 144 retweets (4% 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 3,209 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 primarily consists of MMA enthusiasts and combat sports fans who seek detailed analysis and updates. They are likely to be active on social media and interested in both news and in-depth content.
Average
Audience Quality
26.2%
Suspicion Index
31.9%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.2%
Empty Bio
26.9%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
60.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
18.6%
<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.
42,156,561
Total Potential Reach
27
Median Follower Reach
134
75th Percentile Reach
3.8%
>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).
52.9%
Creators
26,432 accounts
20.2%
Consumers
10,110 accounts
26.9%
Dormant
13,458 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):
609
Verified Followers
0.6% of total
11,891
Protected Accounts
11.77% of total
6 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 | 14,100,481 | Wrestler | Wrestling, Motivation, Self-promotion |
| @luckymanzano | 5,339,006 | TV Host | Travel, Food, Fitness |
| @zlj517 | 1,984,740 | Spokesman | Geopolitics, Diplomacy, Communication |
| @RichardGrenell | 1,153,517 | Diplomat | Cancer survivor, Dog lover, Christ follower |
| @ZachBoychuk | 828,735 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @MieshaTate | 820,412 | MMA Fighter | MMA, Motherhood, Champion |
| @NOH8Campaign | 801,044 | Activism | equality, bullying, discrimination |
| @blessed_213 | 726,760 | Adult entertainer | Coffee, Bisexual, Onlyfans |
| @DrAlmutawa | 715,321 | Dietitian | Clinical dietitian, Sport dietitian, Researcher |
| @solalexasch | 679,425 | Musician | Music, Travel, Tattoos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,856
Followers With Bio
44,138
Followers Without Bio
56.3%
% With Bio
43.7%
% 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 3,209 analyzed101,419
Combined Engagement
92,716
Total Likes
8,703
Total Retweets
20,284
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Slow motion shot of the Israel Adesanya's KO over Alex Pereira at UFC 287 https://t.co/j6n4aGVmKr
MMA fans that don’t train thinking they can beat female MMA fighters https://t.co/vQA9JcpI5X
Nate Diaz choked out Logan Paul’s lookalike in New Orleans brawl https://t.co/o3Fgs5tDB0
Fighter attacks sparring partner because a punch slipped through their guard https://t.co/pxd2vD2GzD
Leon Edwards in the pocket https://t.co/cyfR8Rd0j5
Key Insights & Takeaways
The account frequently shares high-impact moments from major events, such as the Israel Adesanya vs. Alex Pereira fight. It addresses controversial topics, like the perception of female MMA fighters, sparking debate and discussion. BloodyElbow also highlights real-life incidents, such as the Nate Diaz vs. Logan Paul lookalike brawl, blending entertainment with sports news.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 204,429
- + 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 @BloodyElbow reveals an well-established Twitter presence with 204,429 followers. The account demonstrates a content-creator strategy, averaging 101.0 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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