Denis Cheryshev
Jugador del Valencia C.F. y Licenciado en CCAFD. Русский парень, играю в футбол за @valenciacf и @TeamRussia
609,455
Followers
699
Following
25,297
Tweets
1,365.1
Avg Engagement
1,106
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Cheryshev'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:2010-07-24
- Verification:No
- Location:Нижний Новгород - Valencia
Data Summary
- Tweets Analyzed:3,111
- Avg Likes per Tweet:63.9
- Avg Retweets per Tweet:1,301.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,111 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts, suggesting a loyal and active fan base.
63.9
Avg Likes/Tweet
1,301.2
Avg Retweets/Tweet
198,826
Total Likes
4,048,016
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
22
Median Retweets
132
75th Percentile
2,856,156
Top Tweet
2.24
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
30.3%
Original
37.1%
Replies
31.1%
Retweets
1.4%
Quotes
0.0%
Threads
0.1%
With Media
30.1%
With Links
18.1%
With #Tags
75.1%
With @Mentions
48.0%
With Emojis
88
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.22
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,111 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 969 retweets (31% 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 3,111 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 followers are likely football fans and supporters of Valencia C.F. and the Russian national team. They are also interested in his personal life and achievements.
Below Average
Audience Quality
38.2%
Suspicion Index
51.6%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.7%
Empty Bio
56.4%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
77.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.9%
No URL
44.4%
<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.
43,214,680
Total Potential Reach
4
Median Follower Reach
42
75th Percentile Reach
2.3%
>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).
27.4%
Creators
13,687 accounts
16.2%
Consumers
8,108 accounts
56.4%
Dormant
28,205 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):
131
Verified Followers
0.13% of total
4,687
Protected Accounts
4.69% of total
7 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 | 14,105,244 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DeboConfesarQue | 2,860,868 | Influencer | Confesiones, Lluvia, Llama |
| @LigadeCampeones | 2,708,613 | Sports Media | Soccer, Champions League, Youth Competition |
| @19SCazorla | 2,101,738 | Footballer | Asturias, Football, Spain |
| @ObispoPascal | 1,708,175 | Singer | Music, Album, Vinyl |
| @HayQueSaberlo | 1,439,532 | Educational | Learning, Information, Knowledge |
| @valenciacf | 1,368,583 | Football Club | Football, Sports, Future |
| @Pato | 1,343,351 | Religious Leader | Faith, God, Command |
| @LILBTHEBASEDGOD | 1,249,320 | Rapper | Music, Writing, Film |
| @R9Soldado | 893,692 | Footballer | Football, Family, Fitness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,073
Followers With Bio
63,927
Followers Without Bio
36.07%
% With Bio
63.93%
% 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 3,111 analyzed3,414,712
Combined Engagement
0
Total Likes
3,414,712
Total Retweets
682,942
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @TheEllenShow: If only Bradley's arm was longer. Best photo ever. #oscars http://t.co/C9U5NOtGap
RT @TheAcademy: Genie, you're free. http://t.co/WjA9QuuldD
RT @IncredibleCulk: I feel bad about all the burglars who never had the confidence to rob a house on christmas thanks to me.
RT @Fellaini: Thank you to everyone who posted & sent me this 😂😂😂😂😂😂 https://t.co/O7tmOSYR38
RT @petercrouch: There is only a few of us who can do that
Key Insights & Takeaways
He maintains a professional image while also sharing personal gratitude and faith. His content is a mix of football updates and personal reflections. He effectively uses Twitter to connect with fans and share important moments.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 609,455
- + 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 @Cheryshev reveals an exceptionally influential Twitter presence with 609,455 followers. The account demonstrates a conversation-first approach, averaging 1,365.1 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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