Matt Craig
YouTuber! https://www.youtube.com/MattHDGamer Business Email - [email protected]
781,343
Followers
953
Following
232,513
Tweets
112.5
Avg Engagement
797
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MattHDGamer'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:2009-02-14
- Verification:No
- Location:Liverpool
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:106.4
- Avg Retweets per Tweet:6.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsHis tweets typically receive high engagement, with an average of 5,397 likes and 455 retweets. His content is well-received and often shared within his community.
106.4
Avg Likes/Tweet
6.1
Avg Retweets/Tweet
344,874
Total Likes
19,748
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
32
Median Likes
0
Median Retweets
86
75th Percentile
14,786
Top Tweet
0.14
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
53.5%
Original
26.1%
Replies
13.0%
Retweets
7.4%
Quotes
0.0%
Threads
0.0%
With Media
49.7%
With Links
2.7%
With #Tags
39.8%
With @Mentions
31.1%
With Emojis
62
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.49
Reply/Original Ratio
0.57
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.9%
Weekday Posts
31.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 421 retweets (13% 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 3,240 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 audience is likely gaming enthusiasts, especially those interested in FIFA and competitive gameplay. They appreciate his insights and recommendations.
Average
Audience Quality
31.1%
Suspicion Index
38.1%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.0%
Empty Bio
38.6%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
72.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.9%
No URL
25.3%
<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.
34,167,024
Total Potential Reach
7
Median Follower Reach
41
75th Percentile Reach
2.1%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
34.8%
Creators
17,376 accounts
26.6%
Consumers
13,309 accounts
38.6%
Dormant
19,315 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):
270
Verified Followers
0.27% of total
6,925
Protected Accounts
6.93% of total
4 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 | 14,105,393 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GooglePlay | 7,552,827 | Digital Content | movies, TV, games |
| @JoelEmbiid | 2,147,348 | Athlete | - |
| @sportbible | 2,081,743 | Sports Media | Sport, Lifestyle, Entertainment |
| @FutSheriff | 1,034,972 | FIFA Trader | FIFA, Trading, Weekend League |
| @LaurenAlexis_x | 769,986 | Content creator | NSFW content, Instagram, YouTube |
| @solalexasch | 678,495 | Musician | Music, Travel, Tattoos |
| @GilbertoSilva | 435,986 | Footballer | Football, Ambassador, Podcast |
| @eurofootcom | 428,266 | Sports Media | Football, Europe, Home |
| @sambillings | 421,601 | Cricketer | Cricket, Ambassador, England |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,677
Followers With Bio
49,323
Followers Without Bio
50.68%
% With Bio
49.32%
% 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 3,240 analyzed42,070
Combined Engagement
32,963
Total Likes
9,107
Total Retweets
8,414
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
1000 IQ level on FIFA 23 https://t.co/qFlqMXLSjh
This guy is incredible in FIFA 23 👍 https://t.co/f1fTiX5cIm
RT @Darwinn99: Soy consciente de la fea actitud que tuve. Estoy para aprender de mis errores y no volverá a pasar más. 🫡🙏
Overall, the best FIFA ever made. Agreed? https://t.co/VgdPdnPAxD
You have to be joking @EASPORTSFIFA https://t.co/hguU8HXkFV
Key Insights & Takeaways
He focuses heavily on FIFA 23 and its performance, indicating a strong interest in the game's quality and player experience. His content often highlights individual players, suggesting he caters to fans of specific gamers. He encourages audience interaction by asking for agreement on game quality, fostering a sense of community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 781,343
- + 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 @MattHDGamer reveals an well-established Twitter presence with 781,343 followers. The account demonstrates a content-creator strategy, averaging 112.5 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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