Kevin Weekes
Multimedia Broadcaster Analyst ESPN, NHL Network, TSN 📺https://www.nhl.com/ NHL Ambassador. Keynote Speaker. Former NHL Goalie. Owner Speekes Media Inc.
304,659
Followers
6,621
Following
48,807
Tweets
370.6
Avg Engagement
4,270
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KevinWeekes'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:2009-04-09
- Verification:No
- Location:New Jersey/ New York /Miami
Data Summary
- Tweets Analyzed:3,235
- Avg Likes per Tweet:250.9
- Avg Retweets per Tweet:119.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,235 tweetsHis tweets receive high engagement, with an average of 10k likes and 900 retweets. The use of emojis and urgent language like 'Breaking News' boosts interaction.
250.9
Avg Likes/Tweet
119.7
Avg Retweets/Tweet
811,607
Total Likes
387,156
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
38
Median Likes
6
Median Retweets
236
75th Percentile
78,826
Top Tweet
1.22
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
41.7%
Original
11.8%
Replies
25.4%
Retweets
21.1%
Quotes
0.0%
Threads
0.1%
With Media
58.5%
With Links
63.1%
With #Tags
91.8%
With @Mentions
47.0%
With Emojis
156
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.83
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,235 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 822 retweets (25% 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 3,235 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 followersHis followers are primarily sports enthusiasts, especially hockey fans, and those interested in media and personal stories. The audience is engaged with his real-time updates and breaking news.
Average
Audience Quality
22.9%
Suspicion Index
35.1%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.5%
Empty Bio
26.5%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
46.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
18.8%
<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.
19,533,893
Total Potential Reach
29
Median Follower Reach
131
75th Percentile Reach
3.4%
>1K followers
0.4%
>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).
54.4%
Creators
27,194 accounts
19.1%
Consumers
9,547 accounts
26.5%
Dormant
13,259 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):
557
Verified Followers
0.55% of total
11,743
Protected Accounts
11.63% 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 | 14,102,283 | Wrestler | Wrestling, Motivation, Self-promotion |
| @PatMcAfeeShow | 2,835,306 | Sports commentator | Sports, Betting, Entertainment |
| @DiMarzio | 1,762,853 | Journalist | Calcio, Calciomercato, Libri |
| @ReneePaquette | 1,244,105 | Entertainment Host | Fashion, Canada, Supporter |
| @jimrome | 1,243,737 | Sports commentator | Sports, Talk Show Host, Instagram |
| @PTI | 1,131,554 | Sports Journalist | Sports, Media, Television |
| @MattWallace888 | 959,990 | YouTuber | Crypto, Dogecoin, YouTube |
| @NOH8Campaign | 801,464 | Activism | equality, bullying, discrimination |
| @Avalanche | 653,100 | Hockey | Hockey, Ice, Fans |
| @cbass | 512,279 | Gamer | Gaming, Toronto, Internet |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,460
Followers With Bio
48,539
Followers Without Bio
51.94%
% With Bio
48.06%
% 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 3,235 analyzed204,807
Combined Engagement
21,119
Total Likes
183,688
Total Retweets
40,961
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @DavidBegnaud: New Tonight: Disturbing video from @WBFO in Buffalo, NY shows an elderly man walk up to police in riot gear. An officer s…
RT @EURO2020: Following the medical emergency involving Denmark's player Christian Eriksen, a crisis meeting has taken place with both team…
RT @England: We’re disgusted that some of our squad – who have given everything for the shirt this summer – have been subjected to discrimi…
RT @BleacherReport: Rams WR Brandin Cooks gifting the team custodian with a pair of tickets to the Super Bowl is what it's all about 💛 (vi…
**Breaking Personal News** 🚨 📰 I became an official American Citizen. Had to stop alot of pucks, and do thousands of TV shows. Started here with only Hockey Gear as a player, moved back here without even 1 spoon 🥄 as a broadcaster. Eternally grateful to all ! 🙏🏾🥹🇺🇸🦅🥰. https://t.
Key Insights & Takeaways
KevinWeekes leverages his personal milestones to connect with his audience, enhancing authenticity and engagement. He uses a mix of professional and personal content to maintain a diverse and active follower base. His role as an NHL ambassador and media owner positions him as a credible and influential voice in sports media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 304,659
- + 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 @KevinWeekes reveals an well-established Twitter presence with 304,659 followers. The account demonstrates a content-creator strategy, averaging 370.6 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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