HC Dynamo Moscow
Официальный твиттер ХК «Динамо» Москва | Official Twitter of HC Dynamo Moscow | @KHL
77,657
Followers
67
Following
59,928
Tweets
5.4
Avg Engagement
174
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dynamo_ru'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:2012-08-27
- Verification:No
- Location:Москва
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:5.0
- Avg Retweets per Tweet:0.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating consistent interaction. The mix of news, player highlights, and emotional content likely contributes to this engagement.
5.0
Avg Likes/Tweet
0.4
Avg Retweets/Tweet
16,114
Total Likes
1,294
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
6
75th Percentile
306
Top Tweet
0.07
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
94.2%
Original
3.6%
Replies
0.7%
Retweets
1.5%
Quotes
0.0%
Threads
0.0%
With Media
73.9%
With Links
0.2%
With #Tags
4.6%
With @Mentions
56.0%
With Emojis
124
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
2.0
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 3,237 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 24 retweets (1% 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 3,237 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 primary audience includes hockey fans, sports enthusiasts, and followers of HC Dynamo Moscow. It also reaches broader audiences through national team updates and significant player events.
Below Average
Audience Quality
41.7%
Suspicion Index
62.0%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.9%
Empty Bio
67.3%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
79.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
57.1%
<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.
5,692,219
Total Potential Reach
1
Median Follower Reach
11
75th Percentile Reach
2.0%
>1K followers
0.5%
>10K followers
0.2%
>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).
19.8%
Creators
1,976 accounts
13.0%
Consumers
1,296 accounts
67.3%
Dormant
6,728 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):
15
Verified Followers
0.15% of total
425
Protected Accounts
4.25% 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 |
|---|---|---|---|
| @ZachBoychuk | 827,031 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Russia | 456,004 | Travel Blogger | Russia, culture, diversity |
| @philosophytweet | 386,819 | - | - |
| @zerkalo_io | 330,485 | News Outlet | Belarus, News, TUT.BY |
| @NftDnya | 326,804 | - | - |
| @kommersant | 312,156 | News Outlet | News, Business, Russia |
| @reporterchris | 234,649 | Sports Journalist | Hockey, Bitcoin, Cobourg |
| @sportexpress | 233,903 | Sports News | Sports news, updates, analysis |
| @FichajeGoleador | 209,039 | Sports Journalist | Fútbol, Mercado de Fichajes, Notificaciones |
| @gilliankemmerer | 133,861 | Sports Journalist | KHL, kdrama, archery |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,309
Followers With Bio
6,691
Followers Without Bio
33.09%
% With Bio
66.91%
% 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 3,237 analyzed677
Combined Engagement
597
Total Likes
80
Total Retweets
135
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Чем отличается хоккей от футбола? Отвечает Александр Овечкин 🙃 #НашПацан https://t.co/W8jK1tPTkV
27 ноября в реанимации скончался игрок МХК «Динамо» Валентин Родионов... На протяжении шести дней врачи боролись за жизнь воспитанника динамовской школы. Сегодня Валентина не стало… https://t.co/4ud00ezBHl https://t.co/c35l0OXtFV
⚡️ Вадим Шипачев выбран капитаном сборной России на Олимпиаде в Пекине! Успехов, Кэп! 👏🏻 https://t.co/IIETq2AXBN
Не камбек, а камбечище! 🔥🔥🔥 За 7 минут переворачиваем игру с 1:3 на 4:3 и побеждаем в дерби! С победой, динамовцы! https://t.co/eiobREJajp
Вы думали, мы этого не сделаем?😀 @khl https://t.co/x7iCTpQSnm
Key Insights & Takeaways
The account uses a mix of promotional and emotional content to maintain audience interest. It leverages high-profile players like Ovechkin and Shipachev to boost visibility and engagement. It also shares sensitive and impactful stories, such as player passing away, which can create strong emotional connections with followers.
Strengths
- + Established follower base of 77,657
- + 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 @dynamo_ru reveals an growing Twitter presence with 77,657 followers. The account demonstrates a content-creator strategy, averaging 5.4 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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