Sean Koerner

Sean Koerner

@The_Oddsmaker

Director Predictive Analytics for The Action Network. #1 ranked FantasyPros NFL expert 2015, 2016, 2017. 4-time FSTA winner most accurate MLB&NFL player proj.

Los Angeles, CA https://myaction.app/The_Oddsmaker Joined 2013-03-13 Date of Analysis: Dec 16, 2025

83,949

Followers

1,888

Following

16,162

Tweets

146.1

Avg Engagement

2,875

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @The_Oddsmaker'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: Mid-Tier (10K+)
  • Account Age:2013-03-13
  • Verification:No
  • Location:Los Angeles, CA

Data Summary

  • Tweets Analyzed:3,200
  • Avg Likes per Tweet:10.6
  • Avg Retweets per Tweet:135.5
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,200 tweets

The_Oddsmaker's tweets receive a high number of likes and retweets, indicating strong audience interest and trust in their content. Their engagement rate is above average for the platform.

10.6

Avg Likes/Tweet

135.5

Avg Retweets/Tweet

34,035

Total Likes

433,526

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

12

75th Percentile

128,805

Top Tweet

1.74

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

32.7%

Original

39.3%

Replies

23.0%

Retweets

5.0%

Quotes

0.0%

Threads

0.0%

With Media

57.0%

With Links

4.9%

With #Tags

63.9%

With @Mentions

28.4%

With Emojis

136

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.2

Reply/Original Ratio

0.22

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

65.3%

Weekday Posts

34.7%

Weekend Posts

Top Hashtags

#dfs (28) #mnf (18) #tnf (16) #fantasyfootball (10) #2 (7) #snf (6) #1 (6) #superbowllvii (5) #fantasyflex (5) #marchmadness (4)

Most Mentioned

@the_oddsmaker (584) @actionnetworkhq (512) @chrisraybon (374) @rotodoc (156) @samanthanfl (80) @stuckey2 (71) @prizepicks (71) @chadmillman (67) @actionapp (61) @psychoward586 (46)

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Content Strategy Analysis

Based on 3,200 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,047 (33%)
Replies 1,257 (39%)
Retweets 736 (23%)
Quote Tweets 160 (5%)

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 736 retweets (23% 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 3,200 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 10,000 followers

The primary audience includes fantasy sports enthusiasts and analysts looking for expert projections and analysis. They are likely interested in data-driven insights and competitive edge in their leagues.

Average

Audience Quality

20.4%

Suspicion Index

31.0%

Low-Quality %

54

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

49.0%

Empty Bio

19.7%

<10 Tweets

7.4%

Mass Following (>2K)

0.0%

New (<90 days)

40.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.1%

No URL

13.1%

<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.

10,214,147

Total Potential Reach

54

Median Follower Reach

205

75th Percentile Reach

5.9%

>1K followers

0.9%

>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).

62.2%

Creators

6,221 accounts

18.1%

Consumers

1,807 accounts

19.7%

Dormant

1,972 accounts

172

Verified Followers

1.72% of total

5.8%

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 (109) Chicago, IL (79) Los Angeles, CA (59) Boston, MA (50) New York, NY (50) Las Vegas, NV (39) Toronto, Ontario (38) Washington, DC (37) Philadelphia, PA (34) Chicago (34)

172

Verified Followers

1.72% of total

1,333

Protected Accounts

13.33% 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
@notthefakeSVP 2,088,264 Sports Broadcaster Actor, connoisseur, gentleman
@LILBTHEBASEDGOD 1,239,956 Rapper Music, Writing, Film
@NOH8Campaign 800,209 Activism equality, bullying, discrimination
@Brett_McMurphy 271,422 Sports Journalist College Football, Sports Betting, Journalism
@DeeZe 250,678 Crypto Artist lindy walk, twitter space, vibes
@agalleryartists 173,758 Art Dealer NFTs, Art, Gallery
@j2110_ 148,642 - -
@AmyTaylorNYC 123,762 - -
@esportsawards 119,144 Esports Awards: Gaming Gaming, Awards, Esports
@PropBomb 116,254 Sports Bettor MLB, NFL, NBA

Top Keywords in Follower Bios

sports (699) football (340) fantasy (337) husband (195) nfl (184) father (160) betting (144) love (143) dad (141) enthusiast (126)

Top Hashtags in Follower Bios

#gamblingtwitter (34) #sfb12 (28) #nfl (23) #fantasyfootball (23) #1 (19) #sfb13 (18) #billsmafia (16) #bitcoin (14) #nba (13) #girldad (13)

5,098

Followers With Bio

4,902

Followers Without Bio

50.98%

% With Bio

49.02%

% 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 3,200 analyzed

354,041

Combined Engagement

0

Total Likes

354,041

Total Retweets

70,808

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Fantasy Sports Statistical Analysis Player Performance Data-Driven Insights Nfl And Mlb Projections

Key Insights & Takeaways

The_Oddsmaker often uses surprising statistical comparisons to challenge conventional wisdom and highlight underappreciated players. They focus on providing actionable insights for fantasy sports leagues, emphasizing accuracy and data-driven decision-making. Their content is tailored to engage both casual and serious fantasy sports participants by presenting unique and thought-provoking analysis.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 83,949
  • + 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 @The_Oddsmaker reveals an well-established Twitter presence with 83,949 followers. The account demonstrates a conversation-first approach, averaging 146.1 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