FIBA
Official account of the International Basketball Federation ๐ ๐ฅ Home Of Hoops ๐
527,087
Followers
3,946
Following
107,548
Tweets
341.2
Avg Engagement
3,356
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FIBA'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:2009-04-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:283.4
- Avg Retweets per Tweet:57.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsFIBA's tweets consistently receive high average likes and retweets, indicating strong audience interaction. The use of hashtags and multimedia links enhances engagement and reach.
283.4
Avg Likes/Tweet
57.9
Avg Retweets/Tweet
921,004
Total Likes
188,027
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
62
Median Likes
13
Median Retweets
220
75th Percentile
18,844
Top Tweet
0.65
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
58.2%
Original
18.2%
Replies
22.1%
Retweets
1.6%
Quotes
0.0%
Threads
0.8%
With Media
79.2%
With Links
43.3%
With #Tags
40.8%
With @Mentions
85.6%
With Emojis
105
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.9%
Weekday Posts
19.1%
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 717 retweets (22% 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, athletes, and sports enthusiasts globally. The content appeals to both casual viewers and dedicated followers of the sport.
Average
Audience Quality
29.1%
Suspicion Index
36.4%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.7%
Empty Bio
37.1%
<10 Tweets
9.4%
Mass Following (>2K)
0.0%
New (<90 days)
62.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
27.1%
<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.
48,160,196
Total Potential Reach
17
Median Follower Reach
103
75th Percentile Reach
4.2%
>1K followers
0.5%
>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).
42.6%
Creators
21,313 accounts
20.2%
Consumers
10,121 accounts
37.1%
Dormant
18,566 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):
765
Verified Followers
0.77% of total
11,973
Protected Accounts
11.97% of total
5 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 | 14,104,974 | Wrestler | Wrestling, Motivation, Self-promotion |
| @carmeloanthony | 9,195,149 | Basketball Player | Basketball, Fashion, Philanthropy |
| @warriors | 8,272,918 | - | - |
| @NBAonTNT | 5,236,464 | - | - |
| @andreolifelipe | 3,352,727 | Jornalista | Esportes, Jornalismo, Globo |
| @UEFA | 2,330,682 | Football | Football, EqualGame, Official |
| @dallasmavs | 2,238,084 | Sports Team | Basketball, Mavericks, MFFL |
| @Suns | 1,690,055 | Sports Team | Basketball, Sports, Phoenix |
| @OrlandoMagic | 1,627,902 | Sports Team | Basketball, Orlando, Brazil |
| @overtime | 1,626,754 | Media | Sports, Entertainment, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,192
Followers With Bio
40,808
Followers Without Bio
59.19%
% With Bio
40.81%
% 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 3,250 analyzed85,164
Combined Engagement
59,522
Total Likes
25,642
Total Retweets
17,033
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
This is 12-year old Luka Doncic dropping 54 points, 11 rebounds and 10 assists in the championship game of Under-13 Lido di Roma Tournament ๐คฏ (via reddit/r/nba) https://t.co/y4Sn4VkPrI
Mauro Icardiโs influence is spreading beyond football โฝ๏ธ๐ โ๐๐ค #BasketballCL https://t.co/DMqprzFwbt
RT @AdamSandler: Bo Cruz! Getting it done. Love you Juancho. And Willie! Congrats to the whole Spanish team. https://t.co/TGIY2OYZJC
๐๐๐ฏ๐๐ซ ๐ฎ๐ง๐๐๐ซ๐๐ฌ๐ญ๐ข๐ฆ๐๐ญ๐ ๐ญ๐ก๐ ๐ก๐๐๐ซ๐ญ ๐จ๐ ๐ ๐๐ก๐๐ฆ๐ฉ๐ข๐จ๐ง. ๐ช๐ธ SPAIN ARE THE KINGS OF EUROPE ONCE AGAIN! #EuroBasket https://t.co/e4UePXSqoM
Okay, ๐ช๐ธ Spain got us too ๐คทโโ๏ธ #EuroBasket https://t.co/Anvfv12l0q
Key Insights & Takeaways
The account frequently highlights young talent and standout performances, which helps in attracting younger audiences. Collaborations with athletes like Mauro Icardi and Luka Doncic increase credibility and visibility. Incorporating trending topics and events like EuroBasket helps maintain relevance and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 527,087
- + 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 @FIBA reveals an well-established Twitter presence with 527,087 followers. The account demonstrates a content-creator strategy, averaging 341.2 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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