Mike Kurland
Baseball. Baseball. More baseball. | Fantasy Baseball Analyst for @TheAthleticFS & @FantasyPros | 2x @FSWA Award Finalist
14,570
Followers
969
Following
50,399
Tweets
4.7
Avg Engagement
504
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mike_Kurland'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:2018-08-18
- Verification:No
- Location:USA
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:4.1
- Avg Retweets per Tweet:0.7
- Followers Analyzed:12,721
Engagement Analysis
Based on 500 tweetsHis tweets typically receive moderate engagement, with an average of 55 likes and 4 retweets. The content is well-received, indicating a dedicated and interested audience.
4.1
Avg Likes/Tweet
0.7
Avg Retweets/Tweet
2,037
Total Likes
332
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
3
75th Percentile
132
Top Tweet
0.33
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
19.2%
Original
75.8%
Replies
2.0%
Retweets
3.0%
Quotes
0.0%
Threads
0.0%
With Media
31.6%
With Links
9.8%
With #Tags
76.6%
With @Mentions
14.4%
With Emojis
130
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.95
Reply/Original Ratio
1.5
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
85.0%
Weekday Posts
15.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 tweetsContent Type Distribution
Content Breakdown
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 10 retweets (2% 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 500 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 12,721 followersHis audience primarily consists of fantasy baseball players and sports fans interested in in-depth analysis. They are likely looking for actionable insights and predictions.
Good
Audience Quality
19.2%
Suspicion Index
23.4%
Low-Quality %
94
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
12.0%
<10 Tweets
16.1%
Mass Following (>2K)
0.0%
New (<90 days)
38.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.6%
No URL
7.6%
<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.
16,785,671
Total Potential Reach
94
Median Follower Reach
316
75th Percentile Reach
11.2%
>1K followers
1.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
73.7%
Creators
9,370 accounts
14.3%
Consumers
1,822 accounts
12.0%
Dormant
1,529 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):
281
Verified Followers
2.21% of total
1,253
Protected Accounts
9.85% of total
9 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 |
|---|---|---|---|
| @LeBronJames | 1,006,062 | - | - |
| @strombone1 | 764,328 | Hockey Player | Hockey, Humor, Memes |
| @TayeDiggs | 648,418 | Actor | acting, chocolate, hosting |
| @OTruta | 604,253 | Artist | technology, nature, art |
| @IamMzilikazi | 540,035 | Musician | Pan-African music, Album, Rise |
| @mcspocky | 288,106 | - | - |
| @davenewworld_2 | 287,528 | Reporter | Racism, Reporting, Media |
| @Schultz_Report | 241,770 | Sports Analyst | Sports, Analysis, Podcasts |
| @conquerer1 | 237,720 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @TroyPSilva | 220,439 | Author | Christ, Baseball, Author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,738
Followers With Bio
4,983
Followers Without Bio
60.83%
% With Bio
39.17%
% 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 500 analyzed442
Combined Engagement
295
Total Likes
147
Total Retweets
88
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
RT @GeoffPontesBA: Ben Joyce came in to close out a seven inning no-hitter for Rocket City. BB BB PO to second BB K BB Jeremiah Jackson dr…
10 players have at least 10 batted balls >= 100 mph M. Chapman: 13 V. Guerrero Jr.: 12 Jordan Walker: 12 Bryan Reynolds: 11 P. Goldschmidt: 11 Jorge Soler: 10 R. Acuña Jr.: 10 Yandy Diaz: 10 Mike Trout: 10 Bo Bichette: 10 But are they just hitting it hard on the ground 1/2
#Cardinals Brendan Donovan is blowing my mind. A VERY EARLY look but big changes so far 2023/2022 Pull%: 61.5/ 35.5 GB: 36.5/ 52.8 Pull FB%: 50/ 11.3 Swing%: 46.2/ 37.8 O-Swing%: 29.6/23.2 SwStr%: 7.7/5.4 All while striking out less. Also 0 walks. He had a 12.8% walk% in 2022 h
#Nationals Victor Robles so far in 2023 — Through his first 41 PA so far: - Walking (12.2%) more than striking out (7.3%) - Hard hit% is up but still not good (33.3%) - Contact rates up (91.1% Z-contact) - Less swing-and-miss & chases - Lacking barrels - GB%: 53.1% https://t.
So far in 2023, 12 players have more than 5 batted balls hit >= 100 mph - M. Trout: 8 - K. Tucker: 7 - C.J. Cron: 7 - S. Ohtani: 6 - A. Judge: 6 - R. Acuña Jr.: 6 - P. Goldschmidt: 6 - M. Harris II: 6 - R. McMahon: 6 - Jordan Walker: 6 - Cedric Mullins: 6 https://t.co/Z5FfA4z
Key Insights & Takeaways
He frequently shares data on player performance metrics such as batted ball speeds and pull percentages. He highlights standout players and their statistical contributions, providing early-season analysis. He discusses trends in batting patterns and player development, offering valuable context for fantasy managers.
Strengths
- + Established follower base of 14,570
- + 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 @Mike_Kurland reveals an growing Twitter presence with 14,570 followers. The account demonstrates a conversation-first approach, averaging 4.7 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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