Sportando
Get the latest basket news, livescores, breaking updates and video highlights. Founded in 2009. https://linktr.ee/sportando
96,494
Followers
2,518
Following
186,237
Tweets
11.2
Avg Engagement
1,364
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sportando'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:2010-01-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:8.7
- Avg Retweets per Tweet:2.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains moderate engagement with an average of 315 likes and 59 retweets per tweet. The top tweets often feature significant player signings and team achievements, which likely drive higher engagement.
8.7
Avg Likes/Tweet
2.4
Avg Retweets/Tweet
28,414
Total Likes
7,926
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
11
75th Percentile
554
Top Tweet
0.12
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
89.7%
Original
0.1%
Replies
9.9%
Retweets
0.4%
Quotes
0.0%
Threads
0.0%
With Media
91.5%
With Links
2.9%
With #Tags
11.1%
With @Mentions
3.4%
With Emojis
89
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.9%
Weekday Posts
26.1%
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 322 retweets (10% 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 includes basketball fans, sports analysts, and followers of international competitions. The content appeals to those interested in live scores, player movements, and tournament updates.
Average
Audience Quality
28.2%
Suspicion Index
39.5%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.9%
Empty Bio
36.1%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
57.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
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.
18,534,457
Total Potential Reach
19
Median Follower Reach
111
75th Percentile Reach
4.6%
>1K followers
0.6%
>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).
44.7%
Creators
4,473 accounts
19.2%
Consumers
1,916 accounts
36.1%
Dormant
3,611 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):
42
Verified Followers
0.42% of total
860
Protected Accounts
8.6% 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 | 14,093,193 | Wrestler | Wrestling, Motivation, Self-promotion |
| @VarunaGezgin | 396,039 | Travel Blogger | Travel, Teaching, Adventure |
| @MatthewACherry | 308,281 | Filmmaker | Film, Diversity, Creativity |
| @LiaCapizzi | 236,571 | Journalist | Sport, Journalism, News |
| @brasilcoast2 | 133,943 | Sports Journalist | NBA, Notícias, Humor |
| @kkcrvenazvezda | 128,147 | Basketball Team | Basketball, Team, Red Star |
| @serkanyetis | 100,033 | Journalist | Sports, Journalism, Television |
| @Meissnerborja | 84,770 | - | - |
| @TheFieldOf68 | 80,029 | Podcasters | college basketball, podcasting, creators |
| @etrepoursoi1 | 76,717 | Influencer | Self-care, Ordinary Life, Wellness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,813
Followers With Bio
5,187
Followers Without Bio
48.13%
% With Bio
51.87%
% 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 analyzed2,248
Combined Engagement
1,954
Total Likes
294
Total Retweets
450
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Jack Cooley re-signs in Japan with Ryukyu Golden Kings https://t.co/iGV9RhQbQq
Rudy Fernandez with Spanish national team 🇪🇸 EuroBasket 🥇🥇🥇🥇🥈🥉 World Cup 🥇🥇 Olympics 🥈🥈🥉 https://t.co/AeppEfk4c2
Happy birthday, legend 🙏🏻🕊 https://t.co/8crpjUoxZw
🇦🇷 🛬 🇷🇸
Spain 🇪🇸 have just set a new #EuroBasket record: this is the 21st consecutive time Spain enter the last 8 of the tournament (previously tied with the Soviet Union, with 20 each)
Key Insights & Takeaways
The account focuses on major basketball events and player movements, which attract a dedicated audience. Content often highlights international competitions and team successes, indicating a strong interest in global basketball. The use of emojis and concise language helps in making tweets more engaging and shareable.
Strengths
- + Established follower base of 96,494
- + 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 @Sportando reveals an growing Twitter presence with 96,494 followers. The account demonstrates a content-creator strategy, averaging 11.2 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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