heat
Professional VALORANT player for Business inqueries: [email protected]
59,110
Followers
867
Following
7,167
Tweets
447.9
Avg Engagement
137
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @heatfps'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:2019-02-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,209
- Avg Likes per Tweet:269.3
- Avg Retweets per Tweet:178.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,209 tweetsThe account maintains a high level of engagement, with consistent likes and retweets, indicating a loyal and active fan base. The interaction often revolves around game-related discussions and team support.
269.3
Avg Likes/Tweet
178.7
Avg Retweets/Tweet
864,139
Total Likes
573,297
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
0
Median Retweets
177
75th Percentile
279,252
Top Tweet
7.58
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
23.9%
Original
69.3%
Replies
3.5%
Retweets
3.4%
Quotes
0.0%
Threads
0.0%
With Media
14.0%
With Links
2.4%
With #Tags
77.7%
With @Mentions
20.3%
With Emojis
57
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.9
Reply/Original Ratio
0.97
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,209 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 111 retweets (3% 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 3,209 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 10,000 followersThe audience primarily consists of VALORANT fans and fellow players who are interested in team updates and competitive analysis. The content resonates well with those who follow professional gaming and team dynamics.
Average
Audience Quality
26.7%
Suspicion Index
33.1%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.3%
Empty Bio
32.3%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
67.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
21.9%
<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.
4,291,059
Total Potential Reach
10
Median Follower Reach
44
75th Percentile Reach
2.1%
>1K followers
0.5%
>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).
43.8%
Creators
4,376 accounts
23.9%
Consumers
2,390 accounts
32.3%
Dormant
3,234 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):
33
Verified Followers
0.33% of total
1,080
Protected Accounts
10.8% of total
3 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 |
|---|---|---|---|
| @ShahZaMk | 483,470 | Valorant Player | Valorant, Sentinels, Gaming |
| @ValorINTEL | 438,913 | Gaming News | esports, news, clips |
| @MIBR | 403,918 | Esports Team | Esports, Gaming, Brazil |
| @valesports_na | 192,398 | - | - |
| @Schaeppi | 183,743 | Caster | CBLOL, Riot Games, Caster |
| @Yulla | 178,892 | Streamer | Gaming, Esports, Streaming |
| @dudstheboy | 133,689 | Gamer | Gaming, eSports, Content Creation |
| @SilvioGReal | 109,522 | Influencer | - |
| @paulanobrez | 104,804 | Streamer | meias de bichinho, fitness, streamer |
| @MemesHltv | 87,598 | Meme Creator | Memes, Brazil, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,567
Followers With Bio
4,433
Followers Without Bio
55.67%
% With Bio
44.33%
% 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 3,209 analyzed508,332
Combined Engagement
0
Total Likes
508,332
Total Retweets
101,666
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @neymarjr: Felicidades Hermano 👏🏽 #leomessi https://t.co/5XClpQf15y
RT @rogerfederer: ❤️ https://t.co/YxtVWrlXIF
RT @vinijr: Madrid hay uno solo. Todos sabem. 🤍
RT @InfinitoTQuiero: pra quem tá conhecendo richarlisson agora, esse aqui é richarlisson: se ofereceu a me ajudar na campanha que fiz pra conseguir uma cirurgia para o meu pai https://t.co/iCvbAevs61
RT @TeamVitality: Rest in Peace Karel ❤️ https://t.co/F3JjY9aCef
Key Insights & Takeaways
The content often reflects personal emotions and dedication to the game, showing a deep connection with the community. There is a focus on team performance and fair treatment of players, indicating a strong sense of sportsmanship. The account uses a mix of Portuguese and English, suggesting a bilingual or multicultural audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,110
- + High community engagement through conversations
- + 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 @heatfps reveals an well-established Twitter presence with 59,110 followers. The account demonstrates a conversation-first approach, averaging 447.9 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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