Matthew Berry

Matthew Berry

@MatthewBerryTMR

🏈 for @nbcsports NYTimes Best Selling Author of Fantasy Life, @fantasylifeapp @mbfantasylife. Highest grossing actor all-time (on a per movie basis). Girl Dad.

Get my free newsletter below https://www.fantasylife.com/ Joined 2009-02-15 Date of Analysis: Dec 16, 2025

1,176,595

Followers

4,929

Following

74,614

Tweets

492.0

Avg Engagement

17,772

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @MatthewBerryTMR'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:2009-02-15
  • Verification:No
  • Location:Get my free newsletter below

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:325.4
  • Avg Retweets per Tweet:166.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

His tweets typically receive high engagement, with an average of 28,807 likes and 2,086 retweets, indicating strong audience interaction. The verified status of 1.1% suggests a mix of personal and professional accounts.

325.4

Avg Likes/Tweet

166.6

Avg Retweets/Tweet

1,057,519

Total Likes

541,431

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

48

Median Likes

6

Median Retweets

227

75th Percentile

61,489

Top Tweet

0.42

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

26.8%

Original

11.9%

Replies

30.9%

Retweets

30.3%

Quotes

0.0%

Threads

0.2%

With Media

55.7%

With Links

16.2%

With #Tags

58.0%

With @Mentions

15.6%

With Emojis

116

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.44

Reply/Original Ratio

0.98

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.9%

Weekday Posts

29.1%

Weekend Posts

Top Hashtags

#ffhappyhour (168) #ffpregame (89) #lovehate (41) #fantasylife (39) #mondaynightmiracle (24) #nflcombine (14) #httc (14) #fantasyfootball (9) #1 (8) #mnf (8)

Most Mentioned

@mbfantasylife (499) @nbcsedgefb (216) @matthewberrytmr (202) @peacock (180) @croucherjd (144) @betmgm (130) @connorjrogers (69) @dwainmcfarland (66) @peacocktv (52) @profootballtalk (51)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 872 (27%)
Replies 388 (12%)
Retweets 1,004 (31%)
Quote Tweets 986 (30%)

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 1,004 retweets (31% 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 3,250 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, particularly NFL enthusiasts, as well as entertainment lovers and casual Twitter users. The content appeals to both casual and dedicated followers due to its mix of humor and expertise.

Average

Audience Quality

32.3%

Suspicion Index

48.2%

Low-Quality %

9

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

62.3%

Empty Bio

45.2%

<10 Tweets

4.1%

Mass Following (>2K)

0.0%

New (<90 days)

65.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.7%

No URL

34.0%

<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.

32,832,741

Total Potential Reach

9

Median Follower Reach

50

75th Percentile Reach

2.1%

>1K followers

0.3%

>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).

33.6%

Creators

16,808 accounts

21.2%

Consumers

10,576 accounts

45.2%

Dormant

22,616 accounts

484

Verified Followers

0.97% of total

3.3%

Professional Bios

founder, dev, analyst, etc.

0.06

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 (517) Chicago, IL (273) Los Angeles, CA (221) Philadelphia, PA (141) New York, USA (136) California, USA (134) Boston, MA (120) Dallas, TX (116) Houston, TX (114) New York, NY (113)

1,074

Verified Followers

1.06% of total

9,643

Protected Accounts

9.55% of total

4 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
@jimmyfallon 50,815,884 Comedian Comedy, TV, Music
@JohnCena 14,105,459 Wrestler Wrestling, Motivation, Self-promotion
@FallonTonight 4,508,218 Entertainment Comedy, Entertainment, Late-night TV
@TomBrady 3,076,676 Football Family, Football
@Broncos 2,770,946 Sports Team Football, Super Bowl, Champions
@mortreport 2,216,896 Sports Journalist Jesus, Family, Cancer
@ProFootballTalk 1,902,047 Sports Analyst Football, NFL, News
@dak 1,512,344 Football Player Louisiana, Mississippi, Cowboys
@NBCSports 1,293,407 Sports Media Sports, News, Entertainment
@SNFonNBC 1,180,644 Sports Broadcaster Football, NFL, Primetime

Top Keywords in Follower Bios

sports (5,156) football (2,735) love (1,769) fantasy (1,719) father (1,708) husband (1,688) life (1,548) dad (1,140) nfl (1,078) family (848)

Top Hashtags in Follower Bios

#billsmafia (198) #1 (139) #nfl (111) #flyeaglesfly (110) #chiefskingdom (90) #fantasyfootball (84) #bitcoin (75) #raidernation (73) #finsup (71) #lakeshow (67)

42,842

Followers With Bio

58,157

Followers Without Bio

42.42%

% With Bio

57.58%

% 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 3,250 analyzed

255,355

Combined Engagement

141,795

Total Likes

113,560

Total Retweets

51,071

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

60%

With @Mentions

40%

With Links

Topical Analysis:

Sports Analysis Entertainment Humor Personal Updates Nfl Author Actor

Key Insights & Takeaways

He frequently shares personal updates and career milestones, which resonate with his audience. His content often includes sports analysis and entertainment news, reflecting his diverse interests. He uses humor and relatable content to maintain engagement and build a loyal following.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1,176,595
  • + 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 @MatthewBerryTMR reveals an well-established Twitter presence with 1,176,595 followers. The account demonstrates a content-creator strategy, averaging 492.0 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