Basketball HOF
The official account of the Naismith Basketball Hall of Fame. HS Hoops ➡️ @hoophallclassic College Hoops ➡️ @hoophallu
112,789
Followers
2,127
Following
22,604
Tweets
420.1
Avg Engagement
981
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Hoophall'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:2009-03-12
- Verification:No
- Location:Springfield, MA
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:57.1
- Avg Retweets per Tweet:362.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsThe engagement is driven by celebratory and informative tweets, which resonate well with the audience's interests.
57.1
Avg Likes/Tweet
362.9
Avg Retweets/Tweet
185,559
Total Likes
1,178,432
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
15
Median Retweets
93
75th Percentile
92,033
Top Tweet
3.72
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
13.8%
Original
2.9%
Replies
81.8%
Retweets
1.6%
Quotes
0.0%
Threads
0.6%
With Media
95.7%
With Links
68.6%
With #Tags
91.8%
With @Mentions
54.8%
With Emojis
148
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 2,655 retweets (82% 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 3,247 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 10,000 followersThe audience is likely interested in historical basketball figures, upcoming events, and recognition of outstanding athletes.
Average
Audience Quality
29.0%
Suspicion Index
36.2%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.7%
Empty Bio
35.1%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
60.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
26.6%
<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.
33,324,113
Total Potential Reach
30
Median Follower Reach
169
75th Percentile Reach
6.1%
>1K followers
1.1%
>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).
49.8%
Creators
4,975 accounts
15.1%
Consumers
1,513 accounts
35.1%
Dormant
3,512 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):
109
Verified Followers
1.09% of total
1,010
Protected Accounts
10.1% 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 |
|---|---|---|---|
| @JohnCena | 14,093,432 | Wrestler | Wrestling, Motivation, Self-promotion |
| @swish41 | 3,469,931 | Basketball Player | Basketball, Tall, Dallas |
| @cavs | 3,344,035 | Sports Team | Basketball, NBA, G League |
| @ATLHawks | 1,577,715 | Sports Team | Basketball, Atlanta, True fans |
| @PelicansNBA | 1,365,806 | Sports Team | Basketball, New Orleans, Team |
| @MarcGasol | 1,198,334 | Basketball Player | Basketball, Sailing, Wine |
| @ChelseaFCinUSA | 827,919 | Sports Marketing | Soccer, Chelsea FC, Tweets |
| @NOH8Campaign | 799,001 | Activism | equality, bullying, discrimination |
| @sinanguler | 658,664 | Basketball | Basketball, Husband, Father |
| @FRABasketball | 162,708 | Basketball | Basketball, Team France, Passionné Bleu |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,426
Followers With Bio
4,574
Followers Without Bio
54.26%
% With Bio
45.74%
% 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 3,247 analyzed328,096
Combined Engagement
0
Total Likes
328,096
Total Retweets
65,619
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @warriors: NBA CHAMPS. WORLD CHAMPS. #DubNation, STAND UP! 🏆 https://t.co/iylELyLgGa
RT @RealBillRussell: An announcement… https://t.co/KMJ7pG4R5Z
RT @carmeloanthony: Thank you #STAYME7O https://t.co/4au8cOd13s
RT @Lakers: After 39 years, the NBA has a new #ScoringKing Salute, @kingjames. https://t.co/NSJqD1kobN
RT @NBA: 20 seasons. 1,410 games. 38,388 points. One #ScoringKing https://t.co/Z8gxCnBET5
Key Insights & Takeaways
The account focuses on celebrating and honoring notable basketball players through recognition and announcements. It leverages its platform to promote events and highlight key figures in basketball history. The content is tailored to engage fans of high school and college basketball, with a strong emphasis on legacy and achievement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 112,789
- + 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 @Hoophall reveals an well-established Twitter presence with 112,789 followers. The account demonstrates a content-creator strategy, averaging 420.1 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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