Steven Cheah

Steven Cheah

@StevenCheah

Last name pronounced (CHAY) | 2x Super Bowl Champion (XXXVII & LV) l Former VP of Football Ops: @barstoolsports | @BarstoolYak | Prop Bettor: @TrustTheData 🧠

Chicagoland https://store.barstoolsports.com/collections/trust-the-data Joined 2010-04-29 Date of Analysis: Dec 16, 2025

132,854

Followers

1,662

Following

41,374

Tweets

113.4

Avg Engagement

847

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @StevenCheah'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:2010-04-29
  • Verification:No
  • Location:Chicagoland

Data Summary

  • Tweets Analyzed:3,247
  • Avg Likes per Tweet:91.7
  • Avg Retweets per Tweet:21.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,247 tweets

StevenCheah's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His use of humor and relatable content helps drive engagement.

91.7

Avg Likes/Tweet

21.7

Avg Retweets/Tweet

297,902

Total Likes

70,339

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

18

Median Likes

1

Median Retweets

91

75th Percentile

12,586

Top Tweet

0.85

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

32.5%

Original

38.6%

Replies

16.8%

Retweets

12.1%

Quotes

0.0%

Threads

0.1%

With Media

51.3%

With Links

14.3%

With #Tags

56.8%

With @Mentions

23.2%

With Emojis

110

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.19

Reply/Original Ratio

0.72

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

73.0%

Weekday Posts

27.0%

Weekend Posts

Top Hashtags

#gobucs (72) #barstoolsportsbook (46) #bracketbuskers (21) #thankyoustevencheah (19) #newyorkforever (17) #loveisblindlive (13) #1 (12) #barstoolrundown (12) #forksup (11) #letemknow (10)

Most Mentioned

@trustthedata (336) @stevencheah (152) @bssportsbook (143) @barstoolbigcat (143) @barstoolyak (95) @barstoolsports (70) @bfw (65) @stoolpresidente (39) @jerrythekid21 (37) @elio82 (35)

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Content Strategy Analysis

Based on 3,247 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,055 (32%)
Replies 1,253 (39%)
Retweets 545 (17%)
Quote Tweets 394 (12%)

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 545 retweets (17% 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 3,247 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 audience primarily consists of sports fans, bettors, and individuals interested in football and betting culture. The content appeals to a mix of casual and dedicated sports enthusiasts.

Good

Audience Quality

18.0%

Suspicion Index

29.4%

Low-Quality %

76

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

47.4%

Empty Bio

17.0%

<10 Tweets

4.8%

Mass Following (>2K)

0.0%

New (<90 days)

35.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.2%

No URL

11.4%

<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.

53,101,943

Total Potential Reach

76

Median Follower Reach

235

75th Percentile Reach

2.9%

>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).

66.4%

Creators

33,219 accounts

16.5%

Consumers

8,258 accounts

17.0%

Dormant

8,523 accounts

409

Verified Followers

0.82% of total

3.1%

Professional Bios

founder, dev, analyst, etc.

0.19

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 (558) Chicago, IL (550) Boston, MA (302) Philadelphia, PA (231) New York, NY (217) New York, USA (176) Tampa, FL (171) Cleveland, OH (148) Atlanta, GA (148) Columbus, OH (141)

793

Verified Followers

0.79% of total

16,864

Protected Accounts

16.7% of total

8 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 14,101,278 Wrestler Wrestling, Motivation, Self-promotion
@AdamSchefter 10,353,672 Sports Journalist NFL, Insider, Podcast
@MikeTrout 2,576,500 Baseball Player Baseball, Angels, Jess Tara
@mortreport 2,214,326 Sports Journalist Jesus, Family, Cancer
@DeionSanders 1,595,155 Coach Truth, Standtghtr, CoachPrime
@MatthewBerryTMR 1,159,523 Fantasy Analyst Fantasy Football, Author, Avengers
@FieldYates 1,031,941 Sports Analyst NFL, Fantasy Football, ESPN
@LeBronJames 1,009,815 - -
@WindhorstESPN 858,638 Sports Journalist NBA, Author, ESPN
@Brodiesmith21 844,511 Athlete Disc Golf, Ultimate Frisbee, Golf

Top Keywords in Follower Bios

sports (5,259) alum (1,752) football (1,601) life (1,479) university (1,434) love (1,272) time (1,076) father (1,071) husband (1,062) state (1,038)

Top Hashtags in Follower Bios

#gobucs (212) #1 (206) #billsmafia (200) #bitcoin (118) #goblue (117) #flyeaglesfly (104) #gopackgo (100) #gamblingtwitter (87) #lgm (87) #gobolts (87)

55,383

Followers With Bio

45,612

Followers Without Bio

54.84%

% With Bio

45.16%

% 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 3,247 analyzed

44,551

Combined Engagement

16,454

Total Likes

28,097

Total Retweets

8,910

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Sports Betting Humor Personal Anecdotes Pop Culture

Key Insights & Takeaways

StevenCheah often uses humor and personal stories to connect with his audience. He frequently references sports events, betting, and pop culture. His content is tailored to engage both casual and dedicated sports fans.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 132,854
  • + 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 @StevenCheah reveals an well-established Twitter presence with 132,854 followers. The account demonstrates a conversation-first approach, averaging 113.4 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