David J. Chao - ProFootballDoc

David J. Chao - ProFootballDoc

@ProFootballDoc

ExNFL head team doc 17+years Live injury analysis NFL NBA MLB CFB Sports Injury Central https://sicscore.com/ Official Injury Expert @SiriusXM @FoxSportsRadio

San Diego California https://linktr.ee/sicscore Joined 2013-10-06 Date of Analysis: Dec 16, 2025

212,520

Followers

899

Following

58,136

Tweets

61.7

Avg Engagement

3,677

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @ProFootballDoc'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:2013-10-06
  • Verification:No
  • Location:San Diego California

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:43.3
  • Avg Retweets per Tweet:18.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

ProFootballDoc's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content is well-received and often shared across multiple platforms.

43.3

Avg Likes/Tweet

18.4

Avg Retweets/Tweet

140,650

Total Likes

59,710

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

9

Median Likes

1

Median Retweets

29

75th Percentile

19,129

Top Tweet

0.29

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

17.7%

Original

25.5%

Replies

13.1%

Retweets

43.7%

Quotes

0.0%

Threads

0.0%

With Media

77.0%

With Links

32.7%

With #Tags

58.1%

With @Mentions

9.8%

With Emojis

113

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.44

Reply/Original Ratio

3.35

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.5%

Weekday Posts

29.5%

Weekend Posts

Top Hashtags

#halftimeinjurychat (110) #sicscore (76) #profootballdocpodcast (48) #nfl (46) #fieldview (21) #joshallen (19) #snf (17) #mnf (16) #tnf (16) #coachspeak (15)

Most Mentioned

@sicscore (466) @profootballdoc (130) @rapsheet (124) @nfl (85) @adamschefter (83) @richgannon12 (37) @nflinjurynws (37) @jimrome (36) @buffalobills (34) @rosstuckernfl (29)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 576 (18%)
Replies 830 (26%)
Retweets 424 (13%)
Quote Tweets 1,419 (44%)

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 424 retweets (13% 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 3,249 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

The primary audience includes sports fans, medical professionals, and individuals interested in sports injuries. Their content appeals to both casual fans and those seeking in-depth medical analysis.

Good

Audience Quality

19.2%

Suspicion Index

27.4%

Low-Quality %

67

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.2%

Empty Bio

15.9%

<10 Tweets

8.5%

Mass Following (>2K)

0.0%

New (<90 days)

40.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.3%

No URL

10.6%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

51,585,401

Total Potential Reach

67

Median Follower Reach

229

75th Percentile Reach

5.4%

>1K followers

0.7%

>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).

68.3%

Creators

34,152 accounts

15.8%

Consumers

7,885 accounts

15.9%

Dormant

7,963 accounts

573

Verified Followers

1.15% of total

5.6%

Professional Bios

founder, dev, analyst, etc.

0.14

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 (584) Chicago, IL (388) Los Angeles, CA (281) Philadelphia, PA (246) New York, NY (223) New York, USA (190) San Diego, CA (190) Boston, MA (176) California, USA (174) Buffalo, NY (169)

1,087

Verified Followers

1.08% of total

15,783

Protected Accounts

15.63% of total

9 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 14,100,075 Wrestler Wrestling, Motivation, Self-promotion
@obj 4,411,073 Athlete Football, Fashion, Music
@PatMcAfeeShow 2,837,219 Sports commentator Sports, Betting, Entertainment
@reymysterio 2,392,764 Wrestler Wrestling, Lucha Libre, Family
@thereallisaann 1,995,833 Sports Bettor Fantasy Sports, Sports Betting, Podcast
@Chris_Broussard 1,437,789 Sports Analyst Sports, Media, Activism
@RexChapman 1,254,098 Commentator Basketball, Horse racing, Commentary
@jimrome 1,243,186 Sports commentator Sports, Talk Show Host, Instagram
@HerschelWalker 919,152 Politician Politics, Sports, Leadership
@GettySport 882,207 Photographer sports, photography, news

Top Keywords in Follower Bios

sports (7,032) football (3,607) husband (2,585) fantasy (2,430) father (2,254) love (1,873) life (1,819) alum (1,633) dad (1,611) nfl (1,409)

Top Hashtags in Follower Bios

#billsmafia (393) #flyeaglesfly (238) #sfb12 (206) #fantasyfootball (175) #nfl (164) #gopackgo (158) #1 (153) #bitcoin (143) #finsup (140) #chiefskingdom (135)

56,462

Followers With Bio

44,537

Followers Without Bio

55.9%

% With Bio

44.1%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,249 analyzed

65,128

Combined Engagement

42,306

Total Likes

22,822

Total Retweets

13,026

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

40%

With @Mentions

80%

With Links

Topical Analysis:

Sports Injuries Medical Analysis Player Safety Nfl Injury Prevention Sports Commentary

Key Insights & Takeaways

ProFootballDoc emphasizes the importance of prioritizing player health over the game itself. They provide detailed medical analysis and speculation on potential injuries. They often highlight the role of medical protocols and investigations in sports safety.

Strengths

  • + Established follower base of 212,520
  • + 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 @ProFootballDoc reveals an growing Twitter presence with 212,520 followers. The account demonstrates a conversation-first approach, averaging 61.7 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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