whitesoxdave
|| Dave Williams | co-host of @stoolmidshow on YouTube via @barstoolchicago ||
88,575
Followers
2,486
Following
140,713
Tweets
61.8
Avg Engagement
709
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @barstoolWSD'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:2012-07-24
- Verification:No
- Location:Chicago, IL | ✶✶✶✶ |
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:39.5
- Avg Retweets per Tweet:22.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,242 tweetsThe account maintains a steady level of engagement, with tweets often receiving likes and retweets. The content is likely shared within a niche community of Barstool Sports followers.
39.5
Avg Likes/Tweet
22.3
Avg Retweets/Tweet
128,101
Total Likes
72,227
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
39
75th Percentile
49,723
Top Tweet
0.7
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
24.8%
Original
46.5%
Replies
18.0%
Retweets
10.7%
Quotes
0.0%
Threads
0.0%
With Media
39.2%
With Links
3.1%
With #Tags
68.5%
With @Mentions
5.6%
With Emojis
112
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.88
Reply/Original Ratio
0.6
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 583 retweets (18% 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 3,242 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 audience likely includes fans of Barstool Sports, YouTube content creators, and sports enthusiasts. The content appears to target a younger, casual audience interested in humor and sports commentary.
Average
Audience Quality
20.6%
Suspicion Index
30.2%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.1%
Empty Bio
21.1%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
43.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
14.3%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
6,505,277
Total Potential Reach
48
Median Follower Reach
187
75th Percentile Reach
3.7%
>1K followers
0.8%
>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).
61.1%
Creators
6,106 accounts
17.8%
Consumers
1,780 accounts
21.1%
Dormant
2,114 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):
128
Verified Followers
1.28% of total
1,349
Protected Accounts
13.49% 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 |
|---|---|---|---|
| @Brodiesmith21 | 842,052 | Athlete | Disc Golf, Ultimate Frisbee, Golf |
| @lilsasquatch66 | 447,882 | Comedian | SonOfABoyDad, stand up comedy, music |
| @UFCFightPass | 332,009 | Streaming Service | MMA, BJJ, Boxing |
| @conquerer1 | 236,148 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @Daniel_Rapaport | 231,218 | Golf Commentator | Golf, BarstoolSports, ForePlayPod |
| @patrickcarney | 173,106 | Musician | Music, Rock, Drummer |
| @JimMcMahon | 110,137 | Athlete | Football, Concussions, Advocacy |
| @chase_hooper | 102,420 | MMA Fighter | UFC, Journalism, Fighting |
| @naveenthacker | 83,374 | Pediatrician | Pediatrician, Rotarian, President Elect |
| @mattmurley19 | 77,910 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,385
Followers With Bio
4,615
Followers Without Bio
53.85%
% With Bio
46.15%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,242 analyzed62,168
Combined Engagement
4,694
Total Likes
57,474
Total Retweets
12,434
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @HamlinIsland: Headed home to Buffalo today with a lot of love on my heart. 🫶🏾 Watching the world come together around me on Sunday was truly an amazing feeling. The same love you all have shown me is the same love that I plan to put back into the world n more. Bigger than
RT @LightsCameraPod: Never forget when Dr. Evil and his son Scott were reunited by Jerry Springer https://t.co/bbfCysCXJd
I said absolutely @BarstoolBigCat https://t.co/IU7bxZmzS8
RT @JomboyMedia: MLB cropped the video so you can't see all the "sell the team" signs (h/t @OaklandAUK) https://t.co/HzPZX63zvU
Pat Beverly just walked into the office with two massive pizzas and a big ass tray of wings on the heels of calling us all lard asses https://t.co/OHWXQRm2O4
Key Insights & Takeaways
The account frequently references Barstool Sports personalities and content, indicating strong brand alignment. The tweets often include humor and casual commentary, suggesting a focus on entertainment over formal analysis. There is a notable emphasis on sports, particularly baseball, with comparisons and opinions on players and their performances.
Strengths
- + Established follower base of 88,575
- + 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 @barstoolWSD reveals an growing Twitter presence with 88,575 followers. The account demonstrates a conversation-first approach, averaging 61.8 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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