pyth
Former CS:GO & Valorant Pro Business Inquiries: [email protected]
66,231
Followers
966
Following
8,155
Tweets
185.8
Avg Engagement
290
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pythofficial'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:2012-02-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:83.7
- Avg Retweets per Tweet:102.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,202 tweetsThe average engagement per tweet is relatively high, indicating a dedicated and interactive follower base. His tweets often spark conversations, especially when referencing other players or teams.
83.7
Avg Likes/Tweet
102.1
Avg Retweets/Tweet
267,995
Total Likes
327,061
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
0
Median Retweets
65
75th Percentile
70,719
Top Tweet
2.81
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
38.8%
Original
51.6%
Replies
7.2%
Retweets
2.5%
Quotes
0.0%
Threads
0.0%
With Media
30.1%
With Links
13.2%
With #Tags
67.7%
With @Mentions
21.1%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.33
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 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 231 retweets (7% 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 3,202 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 audience appears to be primarily esports enthusiasts, particularly fans of CS:GO and Valorant. They are likely interested in behind-the-scenes content and personal stories from professional players.
Average
Audience Quality
24.8%
Suspicion Index
25.5%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.8%
Empty Bio
19.8%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
72.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.3%
No URL
11.3%
<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.
20,633,193
Total Potential Reach
16
Median Follower Reach
61
75th Percentile Reach
2.8%
>1K followers
0.7%
>10K followers
0.3%
>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).
54.8%
Creators
5,481 accounts
25.4%
Consumers
2,542 accounts
19.8%
Dormant
1,977 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):
67
Verified Followers
0.67% of total
855
Protected Accounts
8.55% 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 | 14,094,227 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KevinandTrevor | 694,295 | - | - |
| @Trainwreckstv | 656,733 | Podcaster | Podcasting, Among Us, GFuel |
| @zombs | 312,791 | Professional Gamer | Gaming, Valorant, X Games |
| @lazvell | 296,165 | Professional Gamer | VALORANT, Professional Player, Gaming |
| @nAts__ss | 254,313 | Professional Gamer | VALORANT, Gaming, Business |
| @conquerer1 | 235,637 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @MVG_Mew2King | 212,893 | Professional Gamer | Smash Bros, Gaming, Esports |
| @Dep_ow | 175,568 | Professional Gamer | VALORANT, Overwatch, PUBG |
| @Vorwenn | 174,425 | Professional Gamer | Fortnite, FaZe Clan, Worldcup |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,024
Followers With Bio
3,976
Followers Without Bio
60.24%
% With Bio
39.76%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,202 analyzed220,366
Combined Engagement
0
Total Likes
220,366
Total Retweets
44,073
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @LFC: ⭐️ ⭐️ ⭐️ ⭐️ ⭐️ ⭐️ #SixTimes https://t.co/jVvGdhvZXZ
RT @CounterStrike: Today we're excited to announce Counter-Strike 2. Counter-Strike 2 is an overhaul to every system, every piece of content, and every part of the C-S experience. First, let's talk about smoke grenades: https://t.co/iTtguRHJ0S
RT @premierleague: 🏆🔴 PREMIER LEAGUE CHAMPIONS 🔴🏆 https://t.co/nNO5YMNaDv
RT @drdisrespect: Champions Club, Twitch has not notified me on the specific reason behind their decision... Firm handshakes to all for the support during this difficult time. -Dr Disrespect
RT @Twitch: An update on gambling on Twitch. https://t.co/lckNTY9Edo
Key Insights & Takeaways
pythofficial frequently shares personal anecdotes and transitions in his career, which resonate with his audience. He engages with fans by referencing other players and teams, fostering a sense of community. His humor and candidness make his content relatable and entertaining.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 66,231
- + 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 @pythofficial reveals an well-established Twitter presence with 66,231 followers. The account demonstrates a conversation-first approach, averaging 185.8 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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