Pat McAfee
Dad. Husband. Entrepreneur. ESPN Sellaht. LIVE M-Fri 12-3ishEST. Kicked off a SuperBowl. Undefeated at WrestleMania. @CollegeGameDay’s on Saturdays in the fall.
2.942.399
Followers
3.116
Following
107.589
Tweets
1.600,2
Avg Engagement
5.995
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PatMcAfeeShow'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: Mega Influencer (1M+)
- Account Age:2010-04-28
- Verification:No
- Location:Indianapolis
Data Summary
- Tweets Analyzed:3.244
- Avg Likes per Tweet:1.322,8
- Avg Retweets per Tweet:277,4
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.244 tweetsPat McAfee's tweets consistently receive high engagement, with an average of 45,000 likes and 5,500 retweets per tweet. His ability to connect with followers through personal stories and sports discussions drives this interaction.
1.322,8
Avg Likes/Tweet
277,4
Avg Retweets/Tweet
4.291.245
Total Likes
899.910
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
441
Median Likes
36
Median Retweets
1.282
75th Percentile
72.412
Top Tweet
0,54
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
64,8%
Original
20,0%
Replies
11,9%
Retweets
3,2%
Quotes
0,0%
Threads
0,2%
With Media
82,9%
With Links
63,7%
With #Tags
67,6%
With @Mentions
23,2%
With Emojis
103
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,31
Reply/Original Ratio
0,27
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81,1%
Weekday Posts
18,9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.244 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 387 retweets (12% 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 3.244 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 50.000 followersHis audience includes sports fans, especially those interested in NFL and college football, as well as general entertainment seekers. The mix of personal and professional content appeals to a broad demographic.
Average
Audience Quality
26,9%
Suspicion Index
42,1%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55,6%
Empty Bio
37,9%
<10 Tweets
3,8%
Mass Following (>2K)
0,0%
New (<90 days)
51,1%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,3%
No URL
28,6%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
37.955.674
Total Potential Reach
15
Median Follower Reach
79
75th Percentile Reach
2,8%
>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).
42,9%
Creators
21.436 accounts
19,3%
Consumers
9.635 accounts
37,9%
Dormant
18.929 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):
1.103
Verified Followers
1.1% of total
9.912
Protected Accounts
9.91% of total
5 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 |
|---|---|---|---|
| @blakeshelton | 19.535.474 | Singer | Music, Country, Team BS |
| @ProFootballTalk | 1.902.024 | Sports Analyst | Football, NFL, News |
| @AlabamaFTBL | 1.174.154 | Sports Team | Football, University, Official |
| @TheRealMorrison | 1.051.405 | Pro Wrestler | pro wrestler, actor, creator |
| @kaseykahne | 916.029 | Race driver | Tanner, race driving, team ownership |
| @dustinrhodes | 780.612 | Wrestler | Wrestling, Instagram, Management |
| @ZelinaVegaWWE | 619.171 | Wrestler | WWE, Actress, Gamer |
| @PamGrier | 548.557 | Academic | history, economics, veterinary science |
| @thestevennabil | 498.584 | TV Correspondent | Traveling, Sports, Assyrian |
| @Bease11 | 489.396 | Football Player | Football, Music, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44.843
Followers With Bio
55.157
Followers Without Bio
44.84%
% With Bio
55.16%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.244 analyzed308.956
Combined Engagement
227.735
Total Likes
81.221
Total Retweets
61.791
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
This is amazing. https://t.co/P46xptOhT7
Man… brain’s been COOKIN Excited to get back but I love this annual think sesh at the beach with my bride.. The future of #PMSLive has been a lot of fun to think about.. Going thru all of the numbers.. facts are facts.. We’ve really been quite a fucking disruptor in this… http
https://t.co/b96PQHbrGC https://t.co/KFpf1jh6cq
RT @jordonr: Update on Damar: His vitals are back to normal and they have put him to sleep to put a breathing tube down his throat. They a…
Hey @NFLOfficiating CAN’T HAVE IT
Key Insights & Takeaways
Pat McAfee's content often blends personal and professional updates, creating a relatable and engaging narrative. His strong presence in sports media, such as ESPN and College Game Day, enhances his credibility and reach. He frequently interacts with his audience, fostering a sense of community and loyalty.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2.942.399
- + 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 @PatMcAfeeShow reveals an exceptionally influential Twitter presence with 2.942.399 followers. The account demonstrates a content-creator strategy, averaging 1.600,2 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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