Complex Sports
Where sports meets culture.
477,204
Followers
2,095
Following
95,640
Tweets
2,116.4
Avg Engagement
1,633
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ComplexSports'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:2011-03-08
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:1,833.2
- Avg Retweets per Tweet:283.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsThe account consistently achieves high engagement, indicating a loyal and active audience. The average likes and retweets per tweet suggest that the content resonates well with followers.
1,833.2
Avg Likes/Tweet
283.2
Avg Retweets/Tweet
5,948,838
Total Likes
918,996
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
314
Median Likes
51
Median Retweets
1,294
75th Percentile
148,211
Top Tweet
4.44
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
91.4%
Original
2.7%
Replies
5.7%
Retweets
0.2%
Quotes
0.0%
Threads
0.5%
With Media
95.3%
With Links
3.7%
With #Tags
17.1%
With @Mentions
39.4%
With Emojis
110
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 184 retweets (6% 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 3,245 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 interested in both sports and cultural narratives, with a focus on athletes and their personal stories. They are engaged and active, showing interest in both mainstream sports and cultural figures.
Average
Audience Quality
28.8%
Suspicion Index
36.1%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.4%
Empty Bio
35.4%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
63.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
25.7%
<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.
31,278,381
Total Potential Reach
20
Median Follower Reach
103
75th Percentile Reach
3.6%
>1K followers
0.4%
>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).
43.7%
Creators
21,845 accounts
20.9%
Consumers
10,431 accounts
35.4%
Dormant
17,724 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):
767
Verified Followers
0.77% of total
13,088
Protected Accounts
13.09% of total
4 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 |
|---|---|---|---|
| @PrimeVideo | 3,248,609 | Streaming Service | Horror, Movies, Streaming |
| @Panthers | 3,076,481 | Sports Team | Football, Carolina, Dancing |
| @Giannis_An34 | 2,970,387 | Athlete | Basketball, Nigeria, Greece |
| @PatMcAfeeShow | 2,835,315 | Sports commentator | Sports, Betting, Entertainment |
| @JLin7 | 2,347,526 | Athlete | Basketball, Faith, Inspiration |
| @Tyson_Fury | 2,247,993 | Boxer | Boxing, Fitness, Motivation |
| @jeremypiven | 2,176,209 | Actor | acting, comedy, sports |
| @SLAMonline | 1,338,971 | Sports Media | Basketball, Sneakers, Fashion |
| @SinghLions | 1,334,853 | Restaurateur | Food, Travel, Influencer |
| @NFL_Memes | 1,316,252 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,643
Followers With Bio
42,357
Followers Without Bio
57.64%
% With Bio
42.36%
% 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 3,245 analyzed615,155
Combined Engagement
530,122
Total Likes
85,033
Total Retweets
123,031
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Brian Robinson was introduced to “Many Men” after returning from being shot twice in the leg 6 weeks ago https://t.co/G8XiroCrST
Gianna Bryant would’ve turned 16 years old today. Happy Birthday Gigi. 💜 https://t.co/UPIlYB5wDn
The Suns going crazy to NBA YoungBoy instead of warming up. They won by 30. 😭 https://t.co/Vp7zPGOjsf
“The people on FOX News talk about athletes that way. That’s my issue.” JJ Redick didn’t hold back 😳 https://t.co/aUXk1k2EHu
We need All-Star games like this again https://t.co/rtkKQlkLnC
Key Insights & Takeaways
The account often highlights personal and emotional stories of athletes, which drives engagement. It blends sports with cultural references, appealing to a broader audience. The use of trending topics and real-time events helps maintain relevance and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 477,204
- + 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 @ComplexSports reveals an exceptionally influential Twitter presence with 477,204 followers. The account demonstrates a content-creator strategy, averaging 2,116.4 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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