SHOWTIME SPORTS
@showtimeboxing 🥊 @bellatormma 👊@morningkombat 🎧 @shobasketball 🏀 @sho_help
311,670
Followers
5,971
Following
45,497
Tweets
81.2
Avg Engagement
1,626
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SHOsports'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:2009-05-12
- Verification:Yes
- Location:New York City
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:27.2
- Avg Retweets per Tweet:54.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,236 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The content is engaging and often includes links to live events and social media posts.
27.2
Avg Likes/Tweet
54.1
Avg Retweets/Tweet
87,860
Total Likes
174,954
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
11
Median Retweets
42
75th Percentile
22,855
Top Tweet
0.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
20.0%
Original
1.6%
Replies
75.8%
Retweets
2.6%
Quotes
0.0%
Threads
0.0%
With Media
57.8%
With Links
73.1%
With #Tags
93.4%
With @Mentions
59.6%
With Emojis
127
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
55.8%
Weekday Posts
44.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 2,452 retweets (76% 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 3,236 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 is likely sports enthusiasts, particularly fans of boxing, MMA, and basketball. They are interested in event coverage, fighter interactions, and live updates.
Average
Audience Quality
28.3%
Suspicion Index
31.1%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.8%
Empty Bio
29.1%
<10 Tweets
13.3%
Mass Following (>2K)
0.0%
New (<90 days)
66.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
19.4%
<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.
76,871,442
Total Potential Reach
23
Median Follower Reach
118
75th Percentile Reach
4.2%
>1K followers
0.7%
>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).
48.7%
Creators
24,331 accounts
22.2%
Consumers
11,111 accounts
29.1%
Dormant
14,558 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):
953
Verified Followers
0.94% of total
12,875
Protected Accounts
12.75% 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 | 14,103,247 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LoganPaul | 6,808,769 | Influencer | Vlogging, Comedy, Fitness |
| @llcoolj | 4,963,685 | Rapper | Music, Hip-hop, Entertainment |
| @jakepaul | 4,595,219 | Boxer | Boxing, Influencer, Content Creator |
| @paulwesley | 4,157,218 | Actor | acting, directing, sustainability |
| @inquirerdotnet | 3,737,181 | News Outlet | News, Views, Balanced |
| @tiwarymanoj | 2,871,918 | Cricketer | Cricket, India, Proud |
| @PatMcAfeeShow | 2,835,650 | Sports commentator | Sports, Betting, Entertainment |
| @amirkingkhan | 2,088,033 | Boxer | Boxing, Champion, President |
| @KameronBennett | 1,812,655 | DJ | Music, DJing, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,494
Followers With Bio
45,505
Followers Without Bio
54.95%
% With Bio
45.05%
% 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 3,236 analyzed55,237
Combined Engagement
33,476
Total Likes
21,761
Total Retweets
11,047
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
.@lilbaby4PF in the locker room with Tank as he warms up for the main event 🥊 @Gervontaa #DavisGarcia: https://t.co/JclbY9BcDi https://t.co/UsKOh7hz1j
RT @jakepaul: $5000 to someone who likes, retweets and comments: #PaulSilva 10/29 Order Now https://t.co/CtzCj10xWi https://t.co/5tiW1AWv…
MOOD 😈 @Gervontaa #DavisGarcia https://t.co/eJVtFDAXpE
RT @Gervontaa: April 22, 2023 Las Vegas It’s on! #DavisGarcia GOOOOO
Fedor Emelianenko lays down his gloves surrounded by legends! Tune in to @CBS and @paramountplus NOW. #Bellator290 #Bellator #MMA @BellatorMMA @CBSSports https://t.co/DgXYmEfskx
Key Insights & Takeaways
The account frequently collaborates with fighters and influencers, enhancing credibility and reach. Content is highly visual and event-focused, which drives engagement. The use of multiple handles suggests a strategic approach to covering different sports and events.
Strengths
- + Established follower base of 311,670
- + 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 @SHOsports reveals an growing Twitter presence with 311,670 followers. The account demonstrates a content-creator strategy, averaging 81.2 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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