Playmaker TD 🏈
Football by @playmaker 🔥🏈 For bettors: @playmakerbet Play the free $1M NFL Impossible Contest: https://t.co/UEe1LJwHn0
86.506
Followers
272
Following
20.877
Tweets
229,4
Avg Engagement
490
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @playmakerTD'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:2011-12-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.249
- Avg Likes per Tweet:162,9
- Avg Retweets per Tweet:66,4
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.249 tweetsThe account consistently receives high engagement, with an average of 3,521 likes and 788 retweets per tweet. This suggests a loyal and active audience that interacts regularly with the content.
162,9
Avg Likes/Tweet
66,4
Avg Retweets/Tweet
529.360
Total Likes
215.860
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
7
Median Retweets
231
75th Percentile
61.661
Top Tweet
2,65
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
61,1%
Original
1,7%
Replies
28,6%
Retweets
8,6%
Quotes
0,0%
Threads
0,1%
With Media
71,5%
With Links
2,7%
With #Tags
34,8%
With @Mentions
28,2%
With Emojis
76
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,03
Reply/Original Ratio
0,3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64,5%
Weekday Posts
35,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.249 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 929 retweets (29% 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 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 50.000 followersThe primary audience includes NFL fans and bettors interested in game analysis and betting opportunities. The content also appeals to casual sports fans looking for engaging and humorous takes.
Average
Audience Quality
24,6%
Suspicion Index
37,6%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50,9%
Empty Bio
31,3%
<10 Tweets
7,0%
Mass Following (>2K)
0,0%
New (<90 days)
45,9%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,3%
No URL
24,2%
<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.
43.941.075
Total Potential Reach
44
Median Follower Reach
196
75th Percentile Reach
3,2%
>1K followers
0,3%
>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).
55,0%
Creators
27.484 accounts
13,7%
Consumers
6.843 accounts
31,3%
Dormant
15.673 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):
239
Verified Followers
0.27% of total
13.916
Protected Accounts
15.69% of total
10 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 | 14.106.857 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4.201.639 | - | - |
| @alispagnola | 2.354.671 | Musician | Music, Comedy, Fitness |
| @BeatsByAssassin | 2.267.148 | Multitalented | Actor, Director, Rapper |
| @sydneyleroux | 2.113.911 | Soccer Player | Soccer, Motherhood, Athlete |
| @6BillionPeople | 2.038.779 | - | - |
| @WhistleBlitz | 1.158.988 | - | - |
| @JoeyBats19 | 1.050.914 | Baseball Player | Baseball, Philanthropy, Sports |
| @LeBronJames | 1.006.941 | - | - |
| @chefsymon | 691.952 | Chef | cooking, grilling, sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48.336
Followers With Bio
40.360
Followers Without Bio
54.5%
% With Bio
45.5%
% 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 3.249 analyzed114.437
Combined Engagement
5.198
Total Likes
109.239
Total Retweets
22.887
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @HamlinIsland: GAMETIME!!! @BuffaloBills 💙 https://t.co/PQYClonUHb
RT @danorlovsky7: IVE NEVER BEEN HAPPIER FFFFREEEEEDDDOOOMMMM
RT @Tua: Appreciate all the support! 🙏🏾 https://t.co/jWBYyvbbwg
RT @TeamJuJu: First the NFL takes away our bye week because another team can’t get their Covid situation together, now they take away our Thanksgiving primetime game for the same reason. Smh.
This didn’t age well https://t.co/mabgWP6uzc
Key Insights & Takeaways
The account uses humor and relatability to connect with its audience, often referencing popular sports moments and fan reactions. It leverages trending topics and current events to maintain relevance and boost engagement. The inclusion of betting content suggests a strategic effort to monetize the audience while maintaining a sports-focused identity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86.506
- + 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 @playmakerTD reveals an well-established Twitter presence with 86.506 followers. The account demonstrates a content-creator strategy, averaging 229,4 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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