ФК «Спартак-Москва»
Официальный твиттер Народной команды | @fcsm_eng 🇬🇧 Наш телеграм канал: https://t.me/fcsmtg
599,523
Followers
60
Following
48,554
Tweets
138.4
Avg Engagement
1,773
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fcsm_official'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:2010-02-16
- Verification:No
- Location:Россия, Москва
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:126.6
- Avg Retweets per Tweet:11.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady level of engagement, with most tweets receiving a moderate number of likes and retweets. The top tweets often include significant announcements, which drive higher interaction.
126.6
Avg Likes/Tweet
11.8
Avg Retweets/Tweet
411,530
Total Likes
38,216
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
78
Median Likes
4
Median Retweets
162
75th Percentile
8,051
Top Tweet
0.23
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
94.6%
Original
1.0%
Replies
2.4%
Retweets
2.0%
Quotes
0.0%
Threads
0.0%
With Media
88.4%
With Links
44.4%
With #Tags
8.2%
With @Mentions
88.6%
With Emojis
119
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.1%
Weekday Posts
42.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 78 retweets (2% 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 3,250 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 followersThe primary audience consists of football fans, particularly those interested in the club's activities and players. The audience is likely from Russia and other regions where the club has a following.
Below Average
Audience Quality
37.7%
Suspicion Index
52.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.5%
Empty Bio
59.5%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
74.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
47.5%
<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.
44,326,420
Total Potential Reach
2
Median Follower Reach
17
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).
24.4%
Creators
12,193 accounts
16.1%
Consumers
8,051 accounts
59.5%
Dormant
29,756 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):
146
Verified Followers
0.14% of total
3,763
Protected Accounts
3.73% of total
5 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 |
|---|---|---|---|
| @EuropaLeague | 11,791,112 | Sports Organization | Football, Soccer, Europe |
| @brfootball | 6,681,575 | Sports Media | Soccer, Sports, News |
| @TNTSportsBR | 6,320,159 | Sports Media | Champions League, NBA, Esportes |
| @CryptoWeb3_NFT | 4,364,065 | - | - |
| @Benayadachraf | 3,484,869 | Unknown | Technology, Innovation, Entrepreneurship |
| @MID_RF | 1,235,931 | Diplomat | politics, diplomacy, international relations |
| @VictorMoses | 1,169,104 | Footballer | Football, Sports, Fitness |
| @ZachBoychuk | 829,869 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Fercaveoficial | 733,197 | Footballer | Football, Family, Retired |
| @ThaiLFC | 732,457 | Football Fan | Football, Liverpool, Thailand |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,699
Followers With Bio
67,296
Followers Without Bio
33.37%
% With Bio
66.63%
% 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 3,250 analyzed19,516
Combined Engagement
9,920
Total Likes
9,596
Total Retweets
3,903
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @fcsm_eng: Preview of the rest of the Europa League: https://t.co/n1BGRQtgUk
Мы в плей-офф! 🕺 https://t.co/D56cclFPgL
С дебютом, Алексис! 💪 https://t.co/vpUlgpZF7F
Официально: Алексис Дуарте – новый игрок «Спартака» 🔴⚪️ Алексис – 22-летний центральный защитник из Парагвая. Ранее он выступал за «Серро Портеньо», в составе которого дважды стал победителем чемпионата страны и получил опыт игры в Кубке Либертадорес. Добро пожаловать! 🇵🇾 http
СПАРТАК! АУФ! МОСКВА! АУФ! СПАРТАК МОСКВА! АУФ! АУФ! АУФ! https://t.co/uWeNJk7xub
Key Insights & Takeaways
The account uses emojis and hashtags to make content more engaging and relatable. It focuses on major club announcements, such as player signings and playoff participation, to attract attention. The use of links to Telegram channels suggests a multi-platform strategy to expand reach and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 599,523
- + 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 @fcsm_official reveals an well-established Twitter presence with 599,523 followers. The account demonstrates a content-creator strategy, averaging 138.4 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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