LNB
📲 Compte officiel de la Ligue Nationale de Basket 🏀 #BetclicELITE 🏆 - #PROB ⛹️♂️ et #Espoirs✨
92.483
Followers
575
Following
40.142
Tweets
99,1
Avg Engagement
425
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LNBofficiel'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: Mid-Tier (10K+)
- Account Age:2011-10-07
- Verification:Yes
- Location:Paris, France
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:57,2
- Avg Retweets per Tweet:42,0
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.250 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. Its content is well-received, with notable engagement on major league events and player announcements.
57,2
Avg Likes/Tweet
42,0
Avg Retweets/Tweet
185.755
Total Likes
136.338
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
6
Median Retweets
69
75th Percentile
35.576
Top Tweet
1,07
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
70,7%
Original
3,2%
Replies
21,2%
Retweets
5,0%
Quotes
0,0%
Threads
0,1%
With Media
96,6%
With Links
86,4%
With #Tags
72,3%
With @Mentions
88,2%
With Emojis
135
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,04
Reply/Original Ratio
0,24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59,1%
Weekday Posts
40,9%
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 688 retweets (21% 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 10.000 followersThe primary audience consists of basketball enthusiasts, fans of French basketball teams, and followers of the league's official communications. The account also reaches a broader audience through collaborations and event highlights.
Average
Audience Quality
28,5%
Suspicion Index
39,1%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53,8%
Empty Bio
33,3%
<10 Tweets
7,8%
Mass Following (>2K)
0,0%
New (<90 days)
61,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,2%
No URL
24,5%
<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.
17.959.864
Total Potential Reach
16
Median Follower Reach
88
75th Percentile Reach
3,1%
>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).
48,4%
Creators
4.839 accounts
18,3%
Consumers
1.828 accounts
33,3%
Dormant
3.333 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):
33
Verified Followers
0.33% of total
737
Protected Accounts
7.37% 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 | 14.097.994 | Wrestler | Wrestling, Motivation, Self-promotion |
| @dimpayet17 | 757.311 | Footballer | Football, Marseille, West Ham |
| @FFLose | 367.881 | Sports Satirist | Sports, Autodérision, Bible |
| @conquerer1 | 236.144 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @Schultz_Report | 201.016 | Sports Analyst | Sports, Analysis, Podcasts |
| @PElliz | 59.159 | Gamer | God, Xbox, Trust |
| @SmithRaps | 53.574 | Sports Journalist | Basketball, Raptors, Sports |
| @basketbllnews | 51.344 | Sports Journalist | Basketball, News, Coverage |
| @naoto158 | 51.285 | Basketball Player | Basketball, Hiroshima, Kawasaki |
| @SamahRiri | 42.586 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4.625
Followers With Bio
5.375
Followers Without Bio
46.25%
% With Bio
53.75%
% 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 3.250 analyzed85.525
Combined Engagement
4.834
Total Likes
80.691
Total Retweets
17.105
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @equipedefrance: 𝐎𝐍 𝐄𝐒𝐓 𝐄𝐍 𝐅𝐈𝐍𝐀𝐋𝐄 𝐃𝐄 𝐋𝐀 𝐂𝐎𝐔𝐏𝐄 𝐃𝐔 𝐌𝐎𝐍𝐃𝐄 ! 🔥🔥🔥 #FiersdetreBleus https://t.co/xEC82Tr88x
RT @equipedefrance: Nous espérions vous offrir une fin différente aujourd'hui... 𝗠𝗲𝗿𝗰𝗶 à tous pour votre 𝘀𝗼𝘂𝘁𝗶𝗲𝗻 depuis le début de la Coupe du Monde 🇫🇷💙 #FiersdetreBleus https://t.co/IfCvF2XurN
RT @equipedefrance: EN 𝘿𝙀𝙈𝙄-𝙁𝙄𝙉𝘼𝙇𝙀 DE LA COUPE DU MONDE ! 🔥 QUEL MATCH, QUELLE EQUIPE 😍😍😍 #ANGFRA #FiersdetreBleus https://t.co/LU5lltGvLK
RT @vicw_32: Today was a good day
Légendaire. https://t.co/G7DUJDfx8k
Key Insights & Takeaways
The account leverages major league events to drive engagement and visibility. Collaborations with other official accounts, such as @dimpayet17 and @OM_Officiel, help expand its reach. Highlighting historic moments and key matches, like Monaco's EuroLeague qualification, generates significant interest.
Strengths
- + Established follower base of 92.483
- + 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 @LNBofficiel reveals an growing Twitter presence with 92.483 followers. The account demonstrates a content-creator strategy, averaging 99,1 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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