NRG crashies
Professional VALORANT Player for @NRGgg | https://www.facebook.com/unsupportedbrowser | Contact: [email protected]
129,067
Followers
443
Following
1,547
Tweets
1,107.2
Avg Engagement
469
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Crashies'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:2011-03-29
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:1,128
- Avg Likes per Tweet:609.4
- Avg Retweets per Tweet:497.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,128 tweetsCrashies' tweets receive high average likes and retweets, indicating strong community interaction and support.
609.4
Avg Likes/Tweet
497.8
Avg Retweets/Tweet
687,415
Total Likes
561,478
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
45
Median Likes
0
Median Retweets
307
75th Percentile
358,213
Top Tweet
8.58
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
25.4%
Original
57.4%
Replies
14.9%
Retweets
2.4%
Quotes
0.0%
Threads
0.0%
With Media
23.9%
With Links
16.8%
With #Tags
87.9%
With @Mentions
28.4%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.26
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,128 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 168 retweets (15% 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 1,128 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 followersHis followers are likely gaming enthusiasts and fans of VALORANT, with a mix of casual and competitive players.
Average
Audience Quality
30.4%
Suspicion Index
39.0%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.5%
Empty Bio
43.0%
<10 Tweets
1.1%
Mass Following (>2K)
0.0%
New (<90 days)
71.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
29.4%
<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.
3,266,697
Total Potential Reach
6
Median Follower Reach
27
75th Percentile Reach
1.5%
>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).
32.3%
Creators
3,229 accounts
24.8%
Consumers
2,476 accounts
43.0%
Dormant
4,295 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):
31
Verified Followers
0.31% of total
1,199
Protected Accounts
11.99% 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 |
|---|---|---|---|
| @Pamaj | 1,196,888 | Gamer | Gaming, Content Creation, FaZe Clan |
| @peterparkTV | 470,927 | Twitch Streamer | Gaming, Fitness, Content Creation |
| @iiTzTimmy | 429,931 | Streamer | gaming, memes, streaming |
| @jsimms1119 | 61,058 | Athlete | Jesus, Grace, Football |
| @cauanzinvlr | 52,475 | - | - |
| @dgzinh99 | 46,323 | - | - |
| @kiNggfps | 29,035 | - | - |
| @Secret_JcVash | 26,883 | - | - |
| @DeeadGOD | 22,715 | - | - |
| @Nozwer | 22,003 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,145
Followers With Bio
4,855
Followers Without Bio
51.45%
% With Bio
48.55%
% 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 1,128 analyzed592,653
Combined Engagement
116,553
Total Likes
476,100
Total Retweets
118,531
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @SHAQ: There’s no words to express the pain Im going through with this tragedy of loosing my neice Gigi & my brother @kobebryant I love u and u will be missed. My condolences goes out to the Bryant family and the families of the other passengers on board. IM SICK RIGHT NOW
RT @natesougly: When you start washing your face and you feel like someone is watching you.😂😂😂 https://t.co/JnTNCZ3ej0
The best ACE of my CAREER!!!!! 😂😂 https://t.co/0fWUDc2ToT
On February 17th, my dad took his own life. I’m still struggling to understand it and how to deal with it. He was my biggest fan and supporter and it breaks my fucking heart he felt like he was alone and couldn’t talk to anyone. Please check up on your loved ones.
Thank you for the tribute @PlayVALORANT 🙏 https://t.co/PWtsqeg1f8
Key Insights & Takeaways
Crashies blends gaming achievements with personal struggles, creating emotional resonance. His content includes both celebratory and heartfelt moments, appealing to a wide range of emotions. He leverages his platform for both professional promotion and personal expression.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 129,067
- + 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 @Crashies reveals an exceptionally influential Twitter presence with 129,067 followers. The account demonstrates a conversation-first approach, averaging 1,107.2 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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