Prop Bet Guy
Contributor @ActionNetworkHQ | 1u - 1.5u bettor | DAILY RECAPS | NFL 23: -3.2u | CFB 23: +1.9u | MLB 23: +9.0u | NBA 23: -15.5u | CBB 23: +23.0u |
82634
Followers
213
Following
19310
Tweets
11,9
Avg Engagement
1625
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PropBetGuy'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:2020-01-06
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3214
- Avg Likes per Tweet:11,5
- Avg Retweets per Tweet:0,5
- Followers Analyzed:50000
Engagement Analysis
Based on 3214 tweetsHis tweets receive moderate engagement with an average of 325 likes and 12 retweets. The audience seems to appreciate his blend of humor and betting insights.
11,5
Avg Likes/Tweet
0,5
Avg Retweets/Tweet
36802
Total Likes
1496
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
0
Median Retweets
14
75th Percentile
694
Top Tweet
0,14
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
60,4%
Original
35,6%
Replies
0,8%
Retweets
3,2%
Quotes
0,0%
Threads
0,0%
With Media
38,6%
With Links
27,3%
With #Tags
36,9%
With @Mentions
28,7%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,59
Reply/Original Ratio
3,78
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68,5%
Weekday Posts
31,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3214 tweetsContent Type Distribution
Content Breakdown
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 27 retweets (1% 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 3214 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 50000 followersHis audience includes sports bettors and fans interested in betting strategies and results. They are likely engaged with his daily recaps and personal betting experiences.
Good
Audience Quality
16,8%
Suspicion Index
27,0%
Low-Quality %
72
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44,2%
Empty Bio
15,4%
<10 Tweets
5,4%
Mass Following (>2K)
0,0%
New (<90 days)
32,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
89,9%
No URL
9,7%
<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.
39900036
Total Potential Reach
72
Median Follower Reach
257
75th Percentile Reach
5,1%
>1K followers
0,4%
>10K followers
0,1%
>50K followers
0,0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
66,7%
Creators
33373 accounts
17,8%
Consumers
8906 accounts
15,4%
Dormant
7721 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):
219
Verified Followers
0.26% of total
11248
Protected Accounts
13.51% 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 | 14106718 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201237 | - | - |
| @LeBronJames | 1006960 | - | - |
| @garettnelson | 650914 | Entrepreneur | Travel, Investing, Adventure |
| @aliciagrimes71 | 500479 | Influencer | Youtube influencers, Music, Magazine |
| @iSpeakComedy | 359113 | Comedian | comedy, Knicks, stonks |
| @NBCSEdgeFB | 338358 | - | - |
| @geopolytica | 246949 | Political Analyst | Politics, Pro-Life, Anti-Left |
| @Schultz_Report | 243286 | Sports Analyst | Sports, Analysis, Podcasts |
| @CallingOurShot | 230299 | Sports Bettor | MLB, NBA, NFL |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46600
Followers With Bio
36642
Followers Without Bio
55.98%
% With Bio
44.02%
% 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 3214 analyzed2173
Combined Engagement
2104
Total Likes
69
Total Retweets
435
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Wife: I want to bet $20 on “heads” for the coin toss Me: Ok cool Wife: is that a good bet? Me: you have a 50/50 chance of winning Wife: I thought you were supposed to be good at this stuff ☠️☠️☠️
Thursday: 4-0 +4.5u ✅ Friday: 3-1 +2.7u ✅ Saturday: 3-1 +1.8u ✅ Sunday: 9-5 +4.2u ✅ Last 4 days: 19-7 +13.2u ✅ I ate a lot of shit on here for ONE bad baseball season. Looking forward to continuing to prove myself - as ridiculous as that sounds at this point 😂
Imagine if this was an NBA game, and your guy didn’t get an assist here… Even in college, this is a dime 10/10 times 😂 (I’m on his under, so I’m ok with the decision). https://t.co/yAkGXuiHPY
I just ran down the Nets depth chart now… it literally doesn’t end. Vaughn’s about to play 12 guys per night… https://t.co/SYA2FRKLeZ
October was cool. https://t.co/2B82Qrohpi
Key Insights & Takeaways
He uses personal stories to make his betting content relatable and engaging. He shares detailed betting results across various sports, showing his expertise and consistency. His tone is casual and humorous, which helps build a connection with his followers.
Strengths
- + Established follower base of 82634
- + 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 @PropBetGuy reveals an growing Twitter presence with 82634 followers. The account demonstrates a content-creator strategy, averaging 11,9 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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