FantasyLabs
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74,946
Followers
115
Following
30,192
Tweets
4.6
Avg Engagement
1,496
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FantasyLabs'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:2015-01-13
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:1.9
- Avg Retweets per Tweet:2.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,236 tweetsThe account sees moderate engagement with an average of 50 likes and 11 retweets per tweet. Verified users contribute to a small but credible following.
1.9
Avg Likes/Tweet
2.7
Avg Retweets/Tweet
6,048
Total Likes
8,865
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
5
75th Percentile
729
Top Tweet
0.06
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.9%
Original
1.5%
Replies
20.3%
Retweets
0.3%
Quotes
0.0%
Threads
0.0%
With Media
97.7%
With Links
3.6%
With #Tags
89.5%
With @Mentions
23.6%
With Emojis
184
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 tweetsContent Type Distribution
Content Breakdown
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 656 retweets (20% 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 3,236 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 10,000 followersThe primary audience includes DFS players and sports bettors looking for competitive advantages. The content also appeals to casual sports fans interested in in-depth analysis.
Average
Audience Quality
24.8%
Suspicion Index
35.0%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.5%
Empty Bio
28.7%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
49.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
20.5%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
23,914,669
Total Potential Reach
32
Median Follower Reach
149
75th Percentile Reach
4.6%
>1K followers
0.5%
>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).
51.5%
Creators
5,155 accounts
19.7%
Consumers
1,972 accounts
28.7%
Dormant
2,873 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):
123
Verified Followers
1.23% of total
967
Protected Accounts
9.67% of total
6 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 | 14,097,177 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DezBryant | 3,474,939 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @JDaIey | 1,246,146 | - | - |
| @belufrancese | 977,370 | Influencer | NFTs, Crypto, Bitcoin |
| @ladycryptook | 404,929 | Crypto Promoter | Management, Crypto, Blockchain |
| @Yazmincristens | 283,025 | - | - |
| @agalleryartists | 173,713 | Art Dealer | NFTs, Art, Gallery |
| @RubiDiamond21 | 98,362 | Influencer | Fashion, Beauty, Self-love |
| @MissChengNYC | 90,398 | Marketing | Brand Partnerships, Experiential Marketing, Cosplay |
| @HDTGM | 78,213 | Podcast Hosts | comedy, bad movies, podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,055
Followers With Bio
4,945
Followers Without Bio
50.55%
% With Bio
49.45%
% 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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Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,236 analyzed1,279
Combined Engagement
220
Total Likes
1,059
Total Retweets
256
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @ActionNetworkHQ: 🚨 NBA FanDuel Christmas DFS Contest 🎁 To Enter: 1⃣: RT this tweet 2⃣: Reply with your @FanDuel username 40 FREE entries to Santa Slam up for grabs: 1st prize is $200k, total pool of $1M! https://t.co/LeNgSdSPK7 https://t.co/7BEZ34nAyc
"I played against myself in fantasy and took a loss." Raiders kicker Daniel Carlson lost because of how well he played 😂 https://t.co/ia9B9ptGW9
RT @ActionNetworkHQ: BOWL SEASON IS HERE AND IT'S BEAUTIFUL 😍 https://t.co/62OqsWnQJA
RT @ActionNetworkHQ: 💰 We're giving away $100 as part of our Green Dot Daily Contest 💰 All you have to do is like and retweet this tweet to enter (must be following @ActionNetworkHQ to win) https://t.co/mr1TEd6j40
RT @ActionNetworkHQ: 🚨 27 STRAIGHT DAYS OF FOOTBALL STARTING TONIGHT 🚨 https://t.co/qkhUcuZ2lB
Key Insights & Takeaways
The account uses humor and relatable content to engage its audience, such as sharing personal fantasy losses. It provides valuable resources like NBA DFS breakdowns and model picks, positioning itself as a go-to source for DFS players. The account collaborates with influencers like @tyschmidt4 to expand its reach and credibility.
Strengths
- + Established follower base of 74,946
- + 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 @FantasyLabs reveals an growing Twitter presence with 74,946 followers. The account demonstrates a content-creator strategy, averaging 4.6 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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