Fantasy Footballers

Fantasy Footballers

@TheFFBallers

#1 Fantasy Football Podcast — Home of https://www.thefantasyfootballers.com/fantasy-football-draft-kit/?utm_source=direct&utm_medium=url&utm_campaign=udk25 🏆 Entertaining, year-round...we help you win. @AndyHolloway @JasonFFL @FFHitman

https://www.thefantasyfootballers.com/ Joined 2014-07-30 Date of Analysis: Dec 16, 2025

361,390

Followers

1,674

Following

32,381

Tweets

95.5

Avg Engagement

3,962

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @TheFFBallers'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:2014-07-30
  • Verification:Yes
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:88.6
  • Avg Retweets per Tweet:6.9
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

The account maintains high engagement with its followers, as evidenced by the average likes and retweets per tweet. The content is often shared and appreciated by the community.

88.6

Avg Likes/Tweet

6.9

Avg Retweets/Tweet

287,970

Total Likes

22,385

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

27

Median Likes

1

Median Retweets

68

75th Percentile

15,577

Top Tweet

0.26

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

64.5%

Original

30.6%

Replies

3.9%

Retweets

1.0%

Quotes

0.0%

Threads

0.0%

With Media

77.6%

With Links

24.5%

With #Tags

40.8%

With @Mentions

15.9%

With Emojis

114

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.47

Reply/Original Ratio

0.24

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

78.9%

Weekday Posts

21.1%

Weekend Posts

Top Hashtags

#fantasyfootball (639) #podcast (83) #dfs (31) #footclan (23) #mondaypunday (23) #galaxyzfold4 (18) #superbowl (14) #1 (12) #tnf (12) #nfldraft (9)

Most Mentioned

@andyholloway (106) @thefantasypt (88) @kyle_borg (64) @jasonffl (62) @ffhitman (60) @nfl (48) @ff_marvine (34) @aalarson (28) @theffballers (28) @spotifylive (27)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,096 (65%)
Replies 995 (31%)
Retweets 127 (4%)
Quote Tweets 31 (1%)

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 127 retweets (4% 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 is fantasy football enthusiasts looking for tips, strategies, and entertainment. The content is tailored for both casual and competitive players.

Average

Audience Quality

32.7%

Suspicion Index

51.4%

Low-Quality %

7

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

65.3%

Empty Bio

48.5%

<10 Tweets

2.6%

Mass Following (>2K)

0.0%

New (<90 days)

62.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.5%

No URL

37.5%

<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.

23,336,038

Total Potential Reach

7

Median Follower Reach

49

75th Percentile Reach

1.5%

>1K followers

0.1%

>10K followers

0.0%

>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).

32.8%

Creators

16,385 accounts

18.7%

Consumers

9,362 accounts

48.5%

Dormant

24,253 accounts

305

Verified Followers

0.61% of total

2.7%

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 (440) Los Angeles, CA (191) Chicago, IL (178) California, USA (149) Houston, TX (132) Florida, USA (128) Texas, USA (122) Atlanta, GA (102) Dallas, TX (98) Philadelphia, PA (97)

607

Verified Followers

0.6% of total

9,645

Protected Accounts

9.55% 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
@JohnCena 14,103,228 Wrestler Wrestling, Motivation, Self-promotion
@SinghLions 1,334,656 Restaurateur Food, Travel, Influencer
@NOH8Campaign 801,560 Activism equality, bullying, discrimination
@adamrank 501,140 Fantasy Analyst NFL, Fantasy, Podcast
@TheRealHos305 449,390 Baseball Player Baseball, San Diego Padres, Sports
@DudePerfect 440,165 Content creators Sports, Entertainment, Challenges
@Moreno 430,294 Influencer Business, Manager, Serious
@DraftKings 369,753 Sports Betting Daily Fantasy Sports, Fantasy News, Sports Gambling
@ZwebackHD 329,594 FIFA Player FIFA, YouTube, Content creation
@MrPEC_Tacular 270,135 Wrestler Wrestling, TV, Music

Top Keywords in Follower Bios

sports (4,089) football (3,310) fantasy (2,494) love (1,737) life (1,540) husband (1,504) father (1,461) dad (1,063) nfl (879) enthusiast (874)

Top Hashtags in Follower Bios

#billsmafia (114) #fantasyfootball (105) #1 (100) #flyeaglesfly (93) #nfl (92) #gopackgo (84) #bitcoin (73) #raidernation (72) #sfb12 (68) #skol (60)

41,471

Followers With Bio

59,528

Followers Without Bio

41.06%

% With Bio

58.94%

% 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 3,249 analyzed

37,877

Combined Engagement

34,921

Total Likes

2,956

Total Retweets

7,575

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

80%

With Links

Topical Analysis:

Fantasy Football Entertainment Community Engagement Humor Sports Analytics Social Responsibility

Key Insights & Takeaways

The account emphasizes entertainment and year-round content, not just during the football season. It engages with its audience through humor and relatable content, such as trade offers and bench performance. The account also shows sensitivity to real-world events, like the Damar Hamlin situation, by adjusting its content schedule.

Strengths

  • + Established follower base of 361,390
  • + 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 @TheFFBallers reveals an growing Twitter presence with 361,390 followers. The account demonstrates a content-creator strategy, averaging 95.5 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