Sam Vecenie
I write about basketball. And watch movies. Senior Writer at @TheAthletic on the NBA/NBA Draft. Host of the Game Theory Podcast. Email: [email protected]
112,957
Followers
38,037
Following
20,321
Tweets
63.1
Avg Engagement
3,032
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sam_Vecenie'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:2010-02-22
- Verification:No
- Location:Melbourne, Australia
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:57.1
- Avg Retweets per Tweet:6.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,240 tweetsHis tweets typically receive high engagement, with an average of 4,536 likes and 418 retweets. The audience is highly interactive, often responding to his commentary and analysis.
57.1
Avg Likes/Tweet
6.0
Avg Retweets/Tweet
184,876
Total Likes
19,544
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
1
Median Retweets
41
75th Percentile
21,868
Top Tweet
0.56
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
35.8%
Original
36.9%
Replies
11.3%
Retweets
16.0%
Quotes
0.0%
Threads
0.1%
With Media
56.1%
With Links
0.5%
With #Tags
49.2%
With @Mentions
0.6%
With Emojis
208
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.03
Reply/Original Ratio
1.41
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
80.6%
Weekday Posts
19.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 367 retweets (11% 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 3,240 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 followersHis audience is primarily basketball enthusiasts and fans of in-depth sports analysis. They are also interested in entertainment and media, given his movie-related content.
Average
Audience Quality
20.9%
Suspicion Index
25.9%
Low-Quality %
71
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.9%
Empty Bio
17.6%
<10 Tweets
12.3%
Mass Following (>2K)
0.0%
New (<90 days)
44.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.3%
No URL
11.8%
<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.
8,617,460
Total Potential Reach
71
Median Follower Reach
251
75th Percentile Reach
7.4%
>1K followers
1.0%
>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).
66.4%
Creators
6,641 accounts
16.0%
Consumers
1,597 accounts
17.6%
Dormant
1,762 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):
131
Verified Followers
1.31% of total
1,164
Protected Accounts
11.64% 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 |
|---|---|---|---|
| @BarstoolBigCat | 1,647,090 | Sports commentator | Sports, Podcasting, Gambling |
| @jj_redick | 284,793 | Retired Athlete | Interstellar, Wine, Golf |
| @HerbertRSim | 228,759 | Investor | Economics, GeoPolitics, AI |
| @ClutchPointsApp | 183,065 | - | - |
| @ChrisRyan77 | 161,230 | Editorial Director | Sports, Music, Podcasts |
| @TylerIAm | 157,809 | Sports commentator | Sports, Comedy, COVID-19 |
| @WhistleSports | 148,659 | Sports Media | Sports, Entertainment, Social Media |
| @whatonnetflix | 84,085 | Entertainment News | TV shows, Movies, News |
| @HoopsVids | 84,042 | Sports Content Creator | Basketball, Videos, Original |
| @RealisticPoetry | 82,881 | Poet | poetry, international, website |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,006
Followers With Bio
3,994
Followers Without Bio
60.06%
% With Bio
39.94%
% 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 3,240 analyzed38,820
Combined Engagement
35,689
Total Likes
3,131
Total Retweets
7,764
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Genuinely, if there aren't just like, a dozen marketing and advertising campaigns around this dude next year, basketball has failed. The most fun competitive personality in the league. https://t.co/kcgXUQgnen
Yup, really gonna need to know what was said here because Markelle Fultz’s face SURE reacted like it was something way wild. https://t.co/3Yfb0K8ZzA https://t.co/AXaBbNC7JM
I don't think we're talking enough about how Victor Wembanyama is making floater 3-pointers a thing over in France. He's made multiple of these shots this season, and it breaks my brain every time he does it. Think Luka is the only other person I've seen try this more than once?
Also, one of these teams will be in the NCAA National Championship game in Houston: Kansas State Florida Atlantic Creighton Princeton San Diego State How about that.
I do legit think that is the biggest upset in NCAA Tournament history. FDU got into the NCAA Tournament not even winning its conference tournament. They were outside the top-300 in KenPom going into Tuesday's game vs. Texas Southern. This is completely bonkers.
Key Insights & Takeaways
His content often sparks conversations about player development and team strategies. He highlights emerging talents and their impact on the game. He blends sports with entertainment, appealing to a broader audience.
Strengths
- + Established follower base of 112,957
- + High community engagement through conversations
- + 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 @Sam_Vecenie reveals an growing Twitter presence with 112,957 followers. The account demonstrates a conversation-first approach, averaging 63.1 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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