Cardiff Devils
Official Twitter Account of the Cardiff Devils Ice Hockey Club
55,949
Followers
1,048
Following
59,083
Tweets
57.1
Avg Engagement
321
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cardiffdevils'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:2009-04-27
- Verification:No
- Location:Cardiff, Wales 🏴
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:52.7
- Avg Retweets per Tweet:4.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady level of engagement, with an average of 561 likes and 84 retweets per tweet. However, the lack of verification may limit its reach or perceived authority.
52.7
Avg Likes/Tweet
4.5
Avg Retweets/Tweet
171,203
Total Likes
14,493
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
3
Median Retweets
80
75th Percentile
958
Top Tweet
1.02
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
85.9%
Original
8.0%
Replies
3.3%
Retweets
2.7%
Quotes
0.0%
Threads
0.6%
With Media
76.7%
With Links
73.6%
With #Tags
19.2%
With @Mentions
91.4%
With Emojis
128
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.81
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
45.4%
Weekday Posts
54.6%
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 108 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 3,250 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 10,000 followersThe primary audience is likely fans of ice hockey and supporters of the Cardiff Devils. The content is tailored to engage with the team's fanbase and keep them updated on club activities.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
100.0%
<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.
3,630,981
Total Potential Reach
29
Median Follower Reach
167
75th Percentile Reach
4.9%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,022
Protected Accounts
10.22% 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 |
|---|---|---|---|
| @Ketnipz | 284,026 | Illustrator | Comics, Art, Animation |
| @secrettory12 | 198,820 | - | - |
| @markwil147 | 142,026 | Travel Agent | Travel, Holidays, Relaxation |
| @BreesAnna | 97,047 | Journalist | journalism, mobile filming, teaching |
| @Visiongeo | 88,716 | Philanthropist | NGO funding, Philanthropy, Travel |
| @myoddballs | 87,220 | Underwear Brand | Underwear, Charity, Support |
| @EffahOwusuJose1 | 70,513 | Athlete | Sports, Radio, TV |
| @Corbettmaths | 44,697 | Maths Educator | Maths, Tutorial videos, Practice exam questions |
| @PanthersIHC | 40,682 | - | - |
| @TeamGBicehockey | 40,513 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,287
Followers With Bio
4,713
Followers Without Bio
52.87%
% With Bio
47.13%
% 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 analyzed3,712
Combined Engagement
3,369
Total Likes
343
Total Retweets
742
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
WE’RE HEADING TO THE PLAYOFF FINAL 😈🏒 #LetsGoDevils | #POFW23 https://t.co/ywejNAmfaD
𝗦𝗜𝗚𝗡𝗜𝗡𝗚 𝗡𝗘𝗪𝗦 😈✍️ Devils confirm Pete Russell as the new Head Coach Full story 🗞https://t.co/rbrU0WpPPA https://t.co/Ud48lpO4ZV
You’ll never forget your first 😈🚨 #LetsGoDevils https://t.co/EQgkLguCdi
For your support tonight and all season long - thank you, Red Army ❤️ #LetsGoDevils | #DevilsFamily https://t.co/6R1LZ2k3bq
𝗖𝗢𝗡𝗚𝗥𝗔𝗧𝗦, 𝗖𝗔𝗣𝗧𝗔𝗜𝗡 😈👨✈️ Tonight, Devils captain Mark Richardson will play in his 1000th EIHL game 🏒 #LetsGoDevils | #MR1000 https://t.co/nukLw5l2JP
Key Insights & Takeaways
The account frequently uses emojis and hashtags to create a more engaging and passionate tone. It shares significant news such as new coaching appointments and major events like playoff finals. The content is highly focused on team updates and fan interaction, which helps maintain a loyal following.
Strengths
- + Established follower base of 55,949
- + 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 @cardiffdevils reveals an growing Twitter presence with 55,949 followers. The account demonstrates a content-creator strategy, averaging 57.1 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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