Tommy Smokes

Tommy Smokes

@TomScibelli

Barstool Sports | Winner Of Competitions | Watch The Smokes Show and @pleaseendthis_ on YouTube | IG: tomscibelli | TikTok: tommysmokes

https://beacons.ai/tommysmokes Joined 2015-10-21 Date of Analysis: Dec 16, 2025

209,228

Followers

1,579

Following

28,755

Tweets

205.3

Avg Engagement

825

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @TomScibelli'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:2015-10-21
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:188.1
  • Avg Retweets per Tweet:17.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,248 tweets

Scibelli's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is designed to be shareable and often goes viral, contributing to his overall influence.

188.1

Avg Likes/Tweet

17.2

Avg Retweets/Tweet

611,010

Total Likes

55,954

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

22

Median Likes

2

Median Retweets

128

75th Percentile

23,786

Top Tweet

0.98

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

30.6%

Original

13.9%

Replies

38.2%

Retweets

17.3%

Quotes

0.0%

Threads

0.1%

With Media

56.4%

With Links

10.4%

With #Tags

51.3%

With @Mentions

3.6%

With Emojis

102

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.46

Reply/Original Ratio

0.45

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

82.5%

Weekday Posts

17.5%

Weekend Posts

Top Hashtags

#survivor (177) #barstoolrundown (29) #shoppingday2023 (16) #beadvised (16) #bracketbuskers (10) #1 (6) #survivor43 (6) #positivetommy (5) #barstoolsportsbook (5) #theshave2 (5)

Most Mentioned

@tomscibelli (452) @pleaseendthis_ (120) @snuffintorches (97) @vivalastool (75) @barstoolsports (74) @thedozentrivia (67) @bssportsbook (65) @bracketpod (61) @barstoolmintzy (58) @short_porch (55)

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Content Strategy Analysis

Based on 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 993 (31%)
Replies 453 (14%)
Retweets 1,241 (38%)
Quote Tweets 561 (17%)

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 1,241 retweets (38% 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 3,248 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

His followers are likely interested in sports, comedy, and viral content, as his posts often trend on social media. The audience appears to be young and active, with a strong presence on platforms like YouTube and TikTok.

Average

Audience Quality

22.3%

Suspicion Index

32.4%

Low-Quality %

42

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

48.6%

Empty Bio

23.5%

<10 Tweets

5.8%

Mass Following (>2K)

0.0%

New (<90 days)

47.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.4%

No URL

16.3%

<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.

43,646,321

Total Potential Reach

42

Median Follower Reach

184

75th Percentile Reach

2.8%

>1K followers

0.4%

>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).

57.0%

Creators

28,519 accounts

19.5%

Consumers

9,727 accounts

23.5%

Dormant

11,754 accounts

502

Verified Followers

1.0% of total

3.2%

Professional Bios

founder, dev, analyst, etc.

0.11

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):

United States (590) Chicago, IL (442) New York, NY (239) Boston, MA (229) New York, USA (223) Philadelphia, PA (212) New Jersey, USA (181) Houston, TX (169) Dallas, TX (147) Denver, CO (146)

879

Verified Followers

0.87% of total

15,911

Protected Accounts

15.75% 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
@JohnCena 14,100,196 Wrestler Wrestling, Motivation, Self-promotion
@thereallisaann 1,995,853 Sports Bettor Fantasy Sports, Sports Betting, Podcast
@lmgriffjohnson 1,724,003 Influencer TikTok, Entrepreneur, Music
@ImNotScottySire 1,658,310 Influencer comedy, humor, fun
@KendraLust 1,527,724 Podcaster sports, sunny days, fashion
@Chris_Broussard 1,437,795 Sports Analyst Sports, Media, Activism
@BryceHall 1,366,130 Influencer videos, email, business
@SinghLions 1,334,050 Restaurateur Food, Travel, Influencer
@greggrunberg 1,190,333 Actor ACTOR, WRITER, BANDS
@BrianDEvans 1,160,011 Entrepreneur NFTs, Crypto, Digital Marketing

Top Keywords in Follower Bios

sports (4,814) love (1,552) life (1,512) alum (1,483) university (1,320) football (1,296) time (1,038) father (974) baseball (937) enthusiast (923)

Top Hashtags in Follower Bios

#repbx (245) #billsmafia (206) #1 (183) #bitcoin (135) #yankees (115) #lgm (95) #gopackgo (88) #togetherblue (83) #goblue (82) #nyr (71)

55,266

Followers With Bio

45,726

Followers Without Bio

54.72%

% With Bio

45.28%

% 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 3,248 analyzed

76,789

Combined Engagement

73,715

Total Likes

3,074

Total Retweets

15,358

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

0%

With @Mentions

60%

With Links

Topical Analysis:

Humor Sports Commentary Viral Content Personal Anecdotes Social Commentary

Key Insights & Takeaways

His content often includes humor and personal stories that resonate with a broad audience. He frequently collaborates with other creators, which helps expand his reach. His use of platforms like YouTube and TikTok complements his Twitter presence, creating a multi-channel strategy.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 209,228
  • + 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 @TomScibelli reveals an well-established Twitter presence with 209,228 followers. The account demonstrates a content-creator strategy, averaging 205.3 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