Steven Stamkos
Official twitter account of Tampa Bay Lightning Captain Steven Stamkos
450,709
Followers
229
Following
673
Tweets
1,126.6
Avg Engagement
2,405
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RealStamkos91'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:2011-03-09
- Verification:No
- Location:Tampa, FL
Data Summary
- Tweets Analyzed:663
- Avg Likes per Tweet:752.2
- Avg Retweets per Tweet:374.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 663 tweetsHis tweets receive a high number of likes and retweets, indicating strong fan support and interest in his content.
752.2
Avg Likes/Tweet
374.4
Avg Retweets/Tweet
498,706
Total Likes
248,229
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
43
Median Retweets
485
75th Percentile
104,866
Top Tweet
2.5
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
45.4%
Original
16.0%
Replies
33.8%
Retweets
4.8%
Quotes
0.0%
Threads
0.9%
With Media
44.3%
With Links
49.8%
With #Tags
72.7%
With @Mentions
5.1%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.9%
Weekday Posts
18.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 663 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 224 retweets (34% 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 663 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 audience primarily consists of hockey fans, especially those supporting the Tampa Bay Lightning, and general sports enthusiasts.
Average
Audience Quality
27.0%
Suspicion Index
34.6%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.6%
Empty Bio
31.2%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
60.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
21.5%
<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.
66,787,254
Total Potential Reach
19
Median Follower Reach
96
75th Percentile Reach
3.0%
>1K followers
0.4%
>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).
47.6%
Creators
23,791 accounts
21.2%
Consumers
10,591 accounts
31.2%
Dormant
15,618 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):
508
Verified Followers
0.51% of total
8,370
Protected Accounts
8.37% 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 | 14,104,425 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MLB | 10,804,287 | Sports League | Baseball, Sports, MLB |
| @FallonTonight | 4,507,114 | - | - |
| @ErinAndrews | 2,636,224 | Sports Reporter | Tubi, Wearbyea, Calm Down Podcast |
| @PaulWight | 2,454,353 | Wrestler | AEW, TALENT, Wrestling |
| @SInow | 1,858,839 | Sports Media | Sports, TikTok, Instagram |
| @toddcarey | 1,685,887 | Musician | Music, Collaboration, Community |
| @Buccaneers | 1,281,230 | Sports Team | Football, Champions, Tampa Bay |
| @JDaIey | 1,228,404 | - | - |
| @brandi_love | 1,089,405 | Pornstar | Conservative, Pornstar, Writing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,404
Followers With Bio
56,596
Followers Without Bio
43.4%
% With Bio
56.6%
% 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 tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 663 analyzed202,829
Combined Engagement
84,457
Total Likes
118,372
Total Retweets
40,566
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @Bell_LetsTalk: Today, every view of this video helps create positive change. All you need to do is watch it and Bell will donate 5¢ mor…
No sleep when you go back to back ! https://t.co/0kVOtvqTYx
CHAMPA BAY !!!!
Excited to be back for 8 more years @TBLightning ! Here we go .....
Thanks for dropping by tonight @StanleyCup . The perfect house guest https://t.co/pjsWMRbxU8
Key Insights & Takeaways
He often shares personal and team-related content that resonates with his followers. His tweets include a mix of humor, gratitude, and excitement about team success. He engages with fans by responding to mentions and sharing behind-the-scenes moments.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 450,709
- + 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 @RealStamkos91 reveals an exceptionally influential Twitter presence with 450,709 followers. The account demonstrates a content-creator strategy, averaging 1,126.6 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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