Tyler Latham
ex-pro / gamer Business: [email protected]
378,176
Followers
668
Following
5,087
Tweets
450.6
Avg Engagement
535
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ska'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:2012-11-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:388.9
- Avg Retweets per Tweet:61.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,192 tweetsTheir tweets receive high engagement, averaging 12,720 likes and 1,653 retweets, indicating a highly interactive fan base.
388.9
Avg Likes/Tweet
61.7
Avg Retweets/Tweet
1,241,220
Total Likes
197,054
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
86
Median Likes
3
Median Retweets
399
75th Percentile
59,202
Top Tweet
1.19
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
52.0%
Original
37.1%
Replies
9.1%
Retweets
1.8%
Quotes
0.0%
Threads
0.2%
With Media
37.5%
With Links
6.2%
With #Tags
56.9%
With @Mentions
12.1%
With Emojis
57
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.71
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,192 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 289 retweets (9% 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 3,192 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 followersSka's audience primarily consists of gaming enthusiasts and fans of their career highlights and personal milestones.
Average
Audience Quality
25.1%
Suspicion Index
27.4%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
26.8%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
67.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.9%
No URL
16.7%
<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.
46,568,580
Total Potential Reach
13
Median Follower Reach
53
75th Percentile Reach
1.9%
>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).
47.5%
Creators
23,774 accounts
25.7%
Consumers
12,840 accounts
26.8%
Dormant
13,386 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):
629
Verified Followers
0.62% of total
9,775
Protected Accounts
9.68% 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 | 14,104,070 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Ninja | 6,678,028 | Gamer | video games, business |
| @pokimanelol | 4,272,644 | Streamer | gaming, streaming, content creation |
| @Razer | 3,437,577 | Gaming Company | Gaming, Support, Action |
| @MoistCr1TiKaL | 2,526,631 | YouTuber | Gaming, Comedy, Commentary |
| @Sykkuno | 1,926,856 | Gamer | Gaming, Tech, Energy Drinks |
| @cloakzy | 1,621,833 | Streamer | streaming, youtube, gaming |
| @TenZOfficial | 1,317,107 | Professional Gamer | VALORANT, Gaming, eSports |
| @fuslie | 860,053 | Streamer | gaming, streaming, content creation |
| @VastGG | 823,488 | Marketing | Creators, Gaming, Giveaways |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,138
Followers With Bio
38,860
Followers Without Bio
61.52%
% With Bio
38.48%
% 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 3,192 analyzed163,961
Combined Engagement
55,681
Total Likes
108,280
Total Retweets
32,792
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @CSGO: Today we're excited to announce Counter-Strike 2. Counter-Strike 2 is an overhaul to every system, every piece of content, and ev…
MAJOR CHAMPION!!!!
RT @shroud: Same shroud. New home. https://t.co/eZV2GBBSsY https://t.co/AHaajkjees
👍 https://t.co/9X43nOFRwN
RT @shroud: CODE Bowl 1v3 https://t.co/wErbvwG6aY
Key Insights & Takeaways
Ska's content often highlights major gaming achievements and personal milestones, which drive high engagement. Their verified status is low, suggesting a focus on organic growth and community connection. They frequently use emojis and casual language to connect with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 378,176
- + 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 @Ska reveals an well-established Twitter presence with 378,176 followers. The account demonstrates a content-creator strategy, averaging 450.6 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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