FC Spartak Moscow
The official Twitter account of Russia's most successful football club 🔴⚪️ @fcsm_official 🇷🇺
75,292
Followers
1,321
Following
10,195
Tweets
853.5
Avg Engagement
194
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fcsm_eng'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:2018-06-15
- Verification:No
- Location:Otkrytie Arena, Moscow
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:769.5
- Avg Retweets per Tweet:84.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,199 tweetsThe account maintains high engagement levels, with a significant number of likes and retweets per tweet. The content is tailored to resonate with fans and highlight key moments in the club's history.
769.5
Avg Likes/Tweet
84.0
Avg Retweets/Tweet
2,461,601
Total Likes
268,866
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
68
Median Likes
2
Median Retweets
158
75th Percentile
271,179
Top Tweet
11.34
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
78.3%
Original
9.3%
Replies
3.0%
Retweets
9.3%
Quotes
0.0%
Threads
0.2%
With Media
71.6%
With Links
37.3%
With #Tags
16.3%
With @Mentions
62.5%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
3.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.3%
Weekday Posts
36.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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 97 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 3,199 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 football fans, especially those interested in Russian football and the club's performance in major competitions. The audience is likely to be engaged with sports news and club updates.
Average
Audience Quality
23.3%
Suspicion Index
24.4%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.7%
Empty Bio
20.3%
<10 Tweets
14.6%
Mass Following (>2K)
0.0%
New (<90 days)
53.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
13.1%
<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.
6,896,995
Total Potential Reach
45
Median Follower Reach
183
75th Percentile Reach
5.7%
>1K followers
0.6%
>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).
60.0%
Creators
5,995 accounts
19.8%
Consumers
1,975 accounts
20.3%
Dormant
2,030 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):
36
Verified Followers
0.36% of total
866
Protected Accounts
8.66% 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 |
|---|---|---|---|
| @LILBTHEBASEDGOD | 1,239,774 | Rapper | Music, Writing, Film |
| @parejitalin | 894,996 | Photographer | Fotos, Packs, Publicidad |
| @TransferNewsCen | 229,072 | Sports Journalist | Football, Transfer News, Podcast |
| @Barca__pictures | 189,480 | Graphic designer | Football, Graphic Design, Photography |
| @KeitaBalde | 182,747 | Athlete | Senegal, Instagram, Nike |
| @ferashatoum | 173,737 | Journalist | Investigative journalism, documentaries, storytelling |
| @harrisonJNIOR | 157,285 | Graphic Designer | Photoshop, Advertisement, UI/UX |
| @OriginoZee17 | 149,616 | - | - |
| @HallyuWebsite | 123,041 | Content Creator | Kpop, Kdrama, K-Fashion |
| @wiwsport | 90,983 | Sports News | Sport, Senegal, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,434
Followers With Bio
3,566
Followers Without Bio
64.34%
% With Bio
35.66%
% 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 3,199 analyzed1,011,553
Combined Engagement
890,174
Total Likes
121,379
Total Retweets
202,311
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Can confirm that we have the same amount of UCL trophies as Manchester City.
????????????? https://t.co/1vVpJhelhS
Pain again. But not for us this time. https://t.co/3ifQw7tIcl https://t.co/6RO0nWzHts
https://t.co/MHPuU3Z5cD
Registered a new signing without any problems... Jealous, @FCBarcelona? 🤭 https://t.co/dKxRZvH1gQ
Key Insights & Takeaways
The account frequently references major achievements, such as UCL trophies, which helps reinforce the club's status and legacy. It uses a mix of promotional and celebratory content to maintain audience interest and loyalty. The use of links suggests a focus on driving traffic to official club resources or match updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,292
- + 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_eng reveals an well-established Twitter presence with 75,292 followers. The account demonstrates a content-creator strategy, averaging 853.5 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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