VSiN

VSiN

@VSiNLive

#SportsBetting Tips, Picks, and Tools. Get the latest odds, lines, splits, and picks, for all your favorite sports.

Las Vegas, NV https://vsin.com/ Joined 2017-01-22 Date of Analysis: Dec 16, 2025

93,353

Followers

6,986

Following

65,957

Tweets

71.2

Avg Engagement

1,247

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @VSiNLive'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:2017-01-22
  • Verification:No
  • Location:Las Vegas, NV

Data Summary

  • Tweets Analyzed:3,241
  • Avg Likes per Tweet:5.8
  • Avg Retweets per Tweet:65.5
  • Followers Analyzed:50,000
  • Following Analyzed:6,971

Engagement Analysis

Based on 3,241 tweets

The account maintains moderate engagement with an average of 159 likes and 36 retweets per tweet. Its content often sparks discussions around major sports events.

5.8

Avg Likes/Tweet

65.5

Avg Retweets/Tweet

18,658

Total Likes

212,236

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

1

Median Retweets

9

75th Percentile

116,372

Top Tweet

0.76

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

86.9%

Original

1.7%

Replies

8.7%

Retweets

2.7%

Quotes

0.0%

Threads

0.0%

With Media

95.9%

With Links

76.1%

With #Tags

84.0%

With @Mentions

61.7%

With Emojis

233

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.02

Reply/Original Ratio

0.31

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

79.6%

Weekday Posts

20.4%

Weekend Posts

Top Hashtags

#nba (299) #mlb (219) #marchmadness (212) #anumbersgame (193) #followthemoney (188) #nbaplayoffs (181) #superbowl (134) #nhl (132) #sharpmoney (128) #nfldraft (124)

Most Mentioned

@kelleybydlon (280) @thewrapradio (238) @skatingtripods (223) @mejvt (218) @beatingthebook (200) @mitchmossradio (183) @mlombardinfl (181) @_zco (176) @vsinlive (170) @paulyhoward (166)

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Content Strategy Analysis

Based on 3,241 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,815 (87%)
Replies 55 (2%)
Retweets 283 (9%)
Quote Tweets 88 (3%)

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 283 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 3,241 tweets

Engagement 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 followers

The primary audience includes sports fans and bettors interested in real-time updates and analysis. It also attracts those looking for expert opinions and market trends.

Average

Audience Quality

20.6%

Suspicion Index

29.2%

Low-Quality %

56

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

46.5%

Empty Bio

19.2%

<10 Tweets

10.9%

Mass Following (>2K)

0.0%

New (<90 days)

38.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.1%

No URL

12.0%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

60,727,739

Total Potential Reach

56

Median Follower Reach

207

75th Percentile Reach

6.6%

>1K followers

1.2%

>10K followers

0.3%

>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).

61.5%

Creators

30,774 accounts

19.3%

Consumers

9,631 accounts

19.2%

Dormant

9,595 accounts

1,139

Verified Followers

2.28% of total

6.3%

Professional Bios

founder, dev, analyst, etc.

0.14

Median Follow Ratio

follower/following

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):

Las Vegas, NV (934) United States (672) Chicago, IL (435) Los Angeles, CA (258) Boston, MA (214) Philadelphia, PA (189) New Jersey, USA (188) New York, USA (181) New York, NY (174) Denver, CO (158)

196

Verified Followers

1.96% of total

987

Protected Accounts

9.87% of total

6 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 14,096,986 Wrestler Wrestling, Motivation, Self-promotion
@JDaIey 1,245,661 - -
@LeBronJames 971,201 - -
@thedavidcook 252,751 Musician music, singer, songwriter
@chambleebrandel 251,110 Golf Analyst Golf, Literature, Politics
@PabloTorre 201,127 Sports Journalist Sports, TV, Podcasts
@Dameshek 195,542 Comedian Sports, Comedy, Lists
@AlcanderLoyola 186,511 - -
@newyorkgrimaldi 183,338 Chef New York, Pizza, Food
@RearAdBsBlog 183,286 Podcaster Hockey, Podcasting, Writing

Top Keywords in Follower Bios

sports (942) betting (257) football (177) love (177) father (161) husband (152) life (152) picks (134) nfl (134) time (120)

Top Hashtags in Follower Bios

#gamblingtwitter (58) #sportsbetting (21) #nfl (20) #bitcoin (18) #nba (18) #1 (17) #mlb (14) #billsmafia (12) #nhl (11) #handicapper (8)

5,006

Followers With Bio

4,994

Followers Without Bio

50.06%

% With Bio

49.94%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,241 analyzed

150,282

Combined Engagement

0

Total Likes

150,282

Total Retweets

30,056

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Sports Betting Real-Time Updates Sports Events Expert Analysis Audience Engagement Market Trends

Network & Following Analysis

Based on 6,971 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

12.6%

Verified Accounts

11.9%

High Authority (>50K)

100.0%

Dormant Accounts

13.3%

Low Quality

1,923

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

77.8%

Individuals

5,422 accounts

6.7%

Brands/Orgs

469 accounts

15.5%

Media/News

1,080 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ChampionsLeague UEFA Champions League 49,902,222 Football Organizer Football, Europe, Youth
@espn ESPN 47,265,237 Sports Media Sports, Fans, Anywhere
@NBA NBA 44,207,031 Sports Media Basketball, Sports, Entertainment
@NFL NFL 33,448,411 Athlete Football, Tight End, Humor
@ChelseaFC Chelsea FC 25,274,491 Football Club Football, Champions League, Chelsea
@KDTrey5 Kevin Durant 20,853,608 Basketball Player Basketball, Entrepreneurship, Media
@BleacherReport Bleacher Report 14,804,005 Sports Media Sports, News, App
@Sports Sports 14,631,458 Sports Media Sports, Game Changer, Twitter
@ufc UFC 11,643,336 MMA Fighter MMA, Fighting, ESPN+
@MLB MLB 11,177,907 Sports League Baseball, Sports, MLB

Key Insights & Takeaways

The account frequently highlights high-stakes sports moments and betting outcomes, which drives engagement. It leverages partnerships with sports betting platforms to enhance credibility and reach. Content often includes expert interviews, adding depth and authority to the betting insights provided.

Strengths

  • + Established follower base of 93,353
  • + 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 @VSiNLive reveals an growing Twitter presence with 93,353 followers. The account demonstrates a content-creator strategy, averaging 71.2 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025