Cassidy Hubbarth
Host/reporter on @espnNBA, #HoopStreams on @twitter and #NBACrosscourt + #SneakerCenter on ESPN+ NYC by address, Chitown by ❤️ proud 🇵🇭 🇺🇸
156,344
Followers
2,217
Following
29,752
Tweets
1,126.5
Avg Engagement
1,866
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CassidyHubbarth'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:2009-06-11
- Verification:No
- Location:IG:CassidyHubbarth
Data Summary
- Tweets Analyzed:3,210
- Avg Likes per Tweet:267.6
- Avg Retweets per Tweet:858.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,210 tweetsCassidy's tweets receive substantial engagement, averaging 26,830 likes and 2,450 retweets, indicating a highly interactive audience. Her content often sparks discussions and debates, especially around NBA topics.
267.6
Avg Likes/Tweet
858.9
Avg Retweets/Tweet
858,941
Total Likes
2,757,170
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
9
Median Retweets
227
75th Percentile
309,642
Top Tweet
7.21
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
28.7%
Original
27.4%
Replies
35.1%
Retweets
8.8%
Quotes
0.0%
Threads
0.2%
With Media
36.6%
With Links
14.1%
With #Tags
67.6%
With @Mentions
21.7%
With Emojis
98
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.96
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.0%
Weekday Posts
30.0%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,210 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 1,128 retweets (35% 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 3,210 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 followersHer audience primarily consists of NBA fans and sneaker enthusiasts, with a strong presence in New York City. She also has a dedicated following in the Philippines and the United States.
Average
Audience Quality
23.2%
Suspicion Index
23.0%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.0%
Empty Bio
14.2%
<10 Tweets
20.7%
Mass Following (>2K)
0.0%
New (<90 days)
52.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
9.1%
<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.
92,145,519
Total Potential Reach
78
Median Follower Reach
266
75th Percentile Reach
7.4%
>1K followers
1.2%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
70.9%
Creators
35,433 accounts
14.9%
Consumers
7,461 accounts
14.2%
Dormant
7,106 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):
798
Verified Followers
0.79% of total
15,143
Protected Accounts
14.99% of total
9 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 |
|---|---|---|---|
| @KingJames | 52,788,863 | Athlete | Basketball, Family, Philanthropy |
| @LilTunechi | 34,846,732 | Rapper | Music, Rap, Hip Hop |
| @TwitterSports | 14,733,468 | - | - |
| @JohnCena | 14,101,249 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wojespn | 5,901,356 | Sports Journalist | NBA, Insider, Podcasting |
| @DezBryant | 3,495,830 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @jugsjugsjugs | 2,990,465 | Music Manager | Music, Contact, Manager |
| @Yg_Trece | 2,464,139 | Basketball Player | Basketball, Motivation, Packgang |
| @jeremypiven | 2,174,548 | Actor | acting, comedy, sports |
| @6BillionPeople | 2,033,204 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,545
Followers With Bio
37,451
Followers Without Bio
62.92%
% With Bio
37.08%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,210 analyzed933,258
Combined Engagement
127,187
Total Likes
806,071
Total Retweets
186,652
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
RT @BarackObama: Today, the Supreme Court not only reversed nearly 50 years of precedent, it relegated the most intensely personal decision…
RT @demetriachavon: A little wake up call for all of you not wearing masks: My cousin checked into the hospital Tuesday morning for body a…
This will continue to fuel the rumors… https://t.co/EfBwuqHEPf
RT @ArlanWasHere: Jacob Blake’s sister *did* that. https://t.co/TpEEWOI073
Key Insights & Takeaways
Cassidy frequently shares content that fuels rumors and speculation around NBA players and events. She often highlights major milestones and achievements, such as championship wins by athletes. Her tweets are rich in cultural and sports references, appealing to a broad and passionate audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 156,344
- + 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 @CassidyHubbarth reveals an exceptionally influential Twitter presence with 156,344 followers. The account demonstrates a content-creator strategy, averaging 1,126.5 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access