Jason Moore

Jason Moore

@jasonffl

Co-host of the award-winning @TheFFBallers and @Spitballerspod podcasts 🏆 3x Top-10 most accurate fantasy football analyst. Lover of Christ, comedy and family.

Phoenix, AZ https://www.thefantasyfootballers.com/ Joined 2015-01-10 Date of Analysis: Dec 16, 2025

213,703

Followers

773

Following

15,249

Tweets

166.1

Avg Engagement

3,005

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @jasonffl'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:2015-01-10
  • Verification:No
  • Location:Phoenix, AZ

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:148.6
  • Avg Retweets per Tweet:17.5
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

Jason Ffl's tweets receive high engagement, with an average of 6,681 likes and 364 retweets per post. His humorous and controversial takes often spark conversations and interactions with his followers.

148.6

Avg Likes/Tweet

17.5

Avg Retweets/Tweet

482,946

Total Likes

56,803

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

6

Median Likes

0

Median Retweets

82

75th Percentile

27,990

Top Tweet

0.78

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

12.4%

Original

71.4%

Replies

6.9%

Retweets

9.3%

Quotes

0.0%

Threads

0.1%

With Media

26.7%

With Links

5.4%

With #Tags

78.9%

With @Mentions

1.9%

With Emojis

86

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

5.74

Reply/Original Ratio

1.34

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.3%

Weekday Posts

26.7%

Weekend Posts

Top Hashtags

#fantasyfootball (90) #podcast (49) #1 (24) #2 (8) #ad (7) #waiverwire (7) #footclan (6) #mondaypunday (6) #letsgoat (5) #rallythevalley (5)

Most Mentioned

@andyholloway (519) @ffhitman (462) @theffballers (433) @spitballerspod (62) @producerborland (47) @thefantasypt (42) @thefantasyeng (42) @kyle_borg (41) @bryanketron (35) @radiojody (33)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 404 (12%)
Replies 2,319 (71%)
Retweets 225 (7%)
Quote Tweets 301 (9%)

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 225 retweets (7% 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

His audience primarily consists of fantasy football enthusiasts who appreciate his candid and entertaining style. They are likely interested in sports, comedy, and engaging with content that reflects real-life experiences.

Average

Audience Quality

24.7%

Suspicion Index

36.3%

Low-Quality %

21

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

52.5%

Empty Bio

29.2%

<10 Tweets

4.6%

Mass Following (>2K)

0.0%

New (<90 days)

51.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.3%

No URL

20.0%

<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.

33,012,743

Total Potential Reach

21

Median Follower Reach

115

75th Percentile Reach

2.5%

>1K followers

0.3%

>10K followers

0.1%

>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).

49.8%

Creators

24,888 accounts

21.0%

Consumers

10,514 accounts

29.2%

Dormant

14,598 accounts

309

Verified Followers

0.62% of total

4.3%

Professional Bios

founder, dev, analyst, etc.

0.09

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 (460) Chicago, IL (290) Los Angeles, CA (259) California, USA (177) Houston, TX (149) Dallas, TX (137) Texas, USA (134) Florida, USA (130) New York, USA (130) Philadelphia, PA (128)

596

Verified Followers

0.59% of total

11,413

Protected Accounts

11.3% of total

7 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 14,100,255 Wrestler Wrestling, Motivation, Self-promotion
@PatMcAfeeShow 2,836,707 Sports commentator Sports, Betting, Entertainment
@mortreport 2,214,592 Sports Journalist Jesus, Family, Cancer
@SinghLions 1,334,038 Restaurateur Food, Travel, Influencer
@RexChapman 1,254,130 Commentator Basketball, Horse racing, Commentary
@PFF 1,243,106 Sports Analyst NFL, NCAA, Analytics
@WhistleBlitz 1,154,394 - -
@FieldYates 1,028,879 Sports Analyst NFL, Fantasy Football, ESPN
@cizzorz 816,915 Gamer Gaming, Content Creation, Fortnite
@brgridiron 804,290 Sports Media Football, Sports, News

Top Keywords in Follower Bios

football (5,438) sports (5,422) fantasy (5,043) husband (2,082) father (1,946) love (1,905) life (1,767) dad (1,401) nfl (1,295) enthusiast (1,259)

Top Hashtags in Follower Bios

#sfb12 (284) #fantasyfootball (269) #billsmafia (185) #nfl (154) #sfb11 (139) #1 (132) #flyeaglesfly (127) #bitcoin (111) #skol (99) #girldad (94)

50,778

Followers With Bio

50,221

Followers Without Bio

50.28%

% With Bio

49.72%

% 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

72,810

Combined Engagement

42,606

Total Likes

30,204

Total Retweets

14,562

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

40%

With @Mentions

0%

With Links

Topical Analysis:

Fantasy Football Humor Personal Opinion Community Engagement Sports Commentary

Key Insights & Takeaways

He often uses humor to express frustration with fantasy football, which resonates with his audience. His content is personal and candid, reflecting his genuine opinions and experiences. He leverages his platform to build a community around shared interests and humor.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 213,703
  • + 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 @jasonffl reveals an well-established Twitter presence with 213,703 followers. The account demonstrates a conversation-first approach, averaging 166.1 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