Jake Marsh

Jake Marsh

@PMTsportsbiz

Jake Marsh, @PardonMyTake podcast. Play-by-Play Broadcaster. ‘Cuse alum. Golf. Pickleball. Tennis.

Chicago, IL https://www.youtube.com/watch?v=0p3GeeHbTBk&feature=youtu.be Joined 2016-05-15 Date of Analysis: Dec 16, 2025

235,678

Followers

1,193

Following

15,910

Tweets

422.1

Avg Engagement

844

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @PMTsportsbiz'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:2016-05-15
  • Verification:No
  • Location:Chicago, IL

Data Summary

  • Tweets Analyzed:3,245
  • Avg Likes per Tweet:320.0
  • Avg Retweets per Tweet:102.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,245 tweets

His tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The use of multimedia, such as images, enhances engagement and drives traffic to his content.

320.0

Avg Likes/Tweet

102.1

Avg Retweets/Tweet

1,038,504

Total Likes

331,175

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

51

Median Likes

3

Median Retweets

300

75th Percentile

49,963

Top Tweet

1.79

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

44.1%

Original

17.7%

Replies

27.7%

Retweets

10.5%

Quotes

0.0%

Threads

0.1%

With Media

63.2%

With Links

10.3%

With #Tags

54.9%

With @Mentions

10.8%

With Emojis

117

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.4

Reply/Original Ratio

0.38

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.3%

Weekday Posts

26.7%

Weekend Posts

Top Hashtags

#syracusebbt (40) #serena (40) #usopen (34) #heatculture (25) #barstoolsportsbook (25) #finsup (23) #bracketbuskers (16) #embracedebate (16) #survivor (14) #barstoolazbowl (10)

Most Mentioned

@pardonmytake (507) @pmtsportsbiz (221) @barstoolbigcat (181) @pftcommenter (147) @pardonmysteak (80) @billyhottakes (70) @barstoolstore (68) @barstoolsports (66) @premierlacrosse (60) @clubtrillion (54)

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Content Strategy Analysis

Based on 3,245 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,431 (44%)
Replies 575 (18%)
Retweets 898 (28%)
Quote Tweets 341 (11%)

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 898 retweets (28% 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 3,245 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 includes sports fans and enthusiasts who follow college and professional sports, particularly in basketball and golf. The content appeals to both casual and dedicated sports followers.

Average

Audience Quality

22.9%

Suspicion Index

33.6%

Low-Quality %

35

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

48.3%

Empty Bio

27.1%

<10 Tweets

4.9%

Mass Following (>2K)

0.0%

New (<90 days)

47.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.4%

No URL

18.9%

<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.

31,488,396

Total Potential Reach

35

Median Follower Reach

174

75th Percentile Reach

2.4%

>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).

53.0%

Creators

26,476 accounts

20.0%

Consumers

9,992 accounts

27.1%

Dormant

13,532 accounts

365

Verified Followers

0.73% of total

3.3%

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 (549) Chicago, IL (468) Boston, MA (251) New York, USA (178) Philadelphia, PA (178) New York, NY (163) Denver, CO (156) Atlanta, GA (145) Los Angeles, CA (143) Dallas, TX (142)

657

Verified Followers

0.65% of total

14,549

Protected Accounts

14.41% 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 14,100,461 Wrestler Wrestling, Motivation, Self-promotion
@AdamSchefter 10,333,729 Sports Journalist NFL, Insider, Podcast
@AB84 1,637,326 Athlete Football, Business, Champion
@SinghLions 1,334,171 Restaurateur Food, Travel, Influencer
@MatthewBerryTMR 1,159,015 Fantasy Analyst Fantasy Football, Author, Avengers
@LeBronJames 1,004,643 - -
@LSUfootball 960,523 Football Football, Champions, GeauxTigers
@MrGeorgeWallace 889,067 Comedian Comedy, Hot Sauce, God
@Brodiesmith21 844,836 Athlete Disc Golf, Ultimate Frisbee, Golf
@iownjd 777,505 Lawyer learn, inspire, engage

Top Keywords in Follower Bios

sports (5,370) alum (1,922) football (1,689) university (1,604) life (1,414) love (1,338) state (1,145) time (1,035) father (974) coach (972)

Top Hashtags in Follower Bios

#billsmafia (215) #1 (171) #gopackgo (109) #flyeaglesfly (108) #goblue (105) #bitcoin (99) #chiefskingdom (68) #lgm (64) #finsup (64) #bbn (64)

55,566

Followers With Bio

45,421

Followers Without Bio

55.02%

% With Bio

44.98%

% 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 3,245 analyzed

154,356

Combined Engagement

0

Total Likes

154,356

Total Retweets

30,871

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Sports Analysis College Basketball Multimedia Content Play-By-Play Broadcasting Sports Predictions

Key Insights & Takeaways

He frequently predicts college basketball outcomes and highlights key teams in championship races. He shares personal and notable sports moments, such as the Ray Allen tweet, which resonates with fans. His content often includes visual elements like images, which boost engagement and visibility.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 235,678
  • + 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 @PMTsportsbiz reveals an well-established Twitter presence with 235,678 followers. The account demonstrates a content-creator strategy, averaging 422.1 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