Basketball Reference
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165.822
Followers
1.760
Following
47.532
Tweets
77,3
Avg Engagement
3.519
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bball_ref'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:2009-08-24
- Verification:No
- Location:Philadelphia, PA
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:66,5
- Avg Retweets per Tweet:10,8
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.250 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. The average engagement per tweet is notable, reflecting its popularity among followers.
66,5
Avg Likes/Tweet
10,8
Avg Retweets/Tweet
216.067
Total Likes
35.116
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
1
Median Retweets
52
75th Percentile
57.521
Top Tweet
0,47
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
74,7%
Original
13,8%
Replies
8,6%
Retweets
2,8%
Quotes
0,0%
Threads
0,0%
With Media
71,6%
With Links
24,0%
With #Tags
41,8%
With @Mentions
5,7%
With Emojis
176
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,19
Reply/Original Ratio
0,32
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
80,8%
Weekday Posts
19,2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.250 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 281 retweets (9% 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 3.250 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 primary audience includes basketball fans, analysts, and history enthusiasts. The content appeals to both casual and dedicated followers of the sport.
Average
Audience Quality
21,6%
Suspicion Index
24,5%
Low-Quality %
53
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36,4%
Empty Bio
18,8%
<10 Tweets
11,3%
Mass Following (>2K)
0,0%
New (<90 days)
51,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
87,8%
No URL
12,6%
<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.
41.018.367
Total Potential Reach
53
Median Follower Reach
204
75th Percentile Reach
5,6%
>1K followers
0,7%
>10K followers
0,2%
>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).
64,3%
Creators
32.151 accounts
16,9%
Consumers
8.462 accounts
18,8%
Dormant
9.387 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):
757
Verified Followers
0.75% of total
12.683
Protected Accounts
12.56% 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 |
|---|---|---|---|
| @wojespn | 5.901.413 | Sports Journalist | NBA, Insider, Podcasting |
| @DukeMBB | 2.193.059 | Basketball Coach | Basketball, Championships, Duke Blue Devils |
| @KameronBennett | 1.823.332 | DJ | Music, DJing, Booking |
| @trailblazers | 1.550.757 | Basketball Team | basketball, Portland, Pacific Northwest |
| @Thom_astro | 1.434.878 | Astronaute | Space, Astronautics, Exploration |
| @Pacers | 1.433.820 | Sports Team | Basketball, Indiana, Growth |
| @MichelleDBeadle | 1.362.698 | Sports Commentator | Sports, Entertainment, Pop Culture |
| @WashWizards | 1.256.096 | Sports Team | Basketball, NBA, Washington DC |
| @RexChapman | 1.254.364 | Commentator | Basketball, Horse racing, Commentary |
| @TheHoopCentral | 1.156.470 | Sports Analyst | NBA, Analysis, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65.584
Followers With Bio
35.411
Followers Without Bio
64.94%
% With Bio
35.06%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3.250 analyzed69.857
Combined Engagement
61.102
Total Likes
8.755
Total Retweets
13.971
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
DeMar DeRozan is the first player in NBA history to hit a game-winning buzzer-beater in back-to-back days!
Joel Embiid is the first 7-footer in our database to make a last-second game-winning 3 in the playoffs https://t.co/M0KbdPZeOw https://t.co/WbdAzQiVPo
@jimmyboobtron55 @OrlandoMagic That’s actually us
Today in 2011: Dirk Nowitzki scores 48 points in a 121-112 win vs. the Thunder in Game 1 of the WCF. Dirk went 24/24 from the free-throw line, the most made without a miss in a playoff game. #Mavs | #NBA https://t.co/56Sgsk5juw
Players who averaged 35+ PPG, 7+ APG, and 7+ RPG over any 7 game span, age-22 or under: Michael Jordan LeBron James Ja Morant https://t.co/LeHuIKKsH6 #Grizzlies @memgrizz @JaMorant https://t.co/kZx3ysLVwN
Key Insights & Takeaways
The account highlights unique and historic basketball moments, such as DeMar DeRozan's back-to-back buzzer-beater wins. It emphasizes rare achievements, like Joel Embiid's last-second 3-pointer in the playoffs. It also shares significant historical events, such as Dirk Nowitzki's 48-point game in the 2011 playoffs.
Strengths
- + Established follower base of 165.822
- + 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 @bball_ref reveals an growing Twitter presence with 165.822 followers. The account demonstrates a content-creator strategy, averaging 77,3 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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