Sydney Thunder
The official Twitter account of the #ThunderNation ⚡️
161,909
Followers
2,881
Following
21,914
Tweets
85.9
Avg Engagement
466
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ThunderBBL'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:2011-02-14
- Verification:No
- Location:Sydney, New South Wales
Data Summary
- Tweets Analyzed:3,201
- Avg Likes per Tweet:79.1
- Avg Retweets per Tweet:6.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,201 tweetsThe account maintains high average likes and retweets, indicating strong audience interaction. The use of hashtags and links enhances engagement and reach.
79.1
Avg Likes/Tweet
6.8
Avg Retweets/Tweet
253,075
Total Likes
21,742
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
25
Median Likes
2
Median Retweets
59
75th Percentile
15,542
Top Tweet
0.53
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
60.0%
Original
9.5%
Replies
23.6%
Retweets
6.9%
Quotes
0.0%
Threads
0.2%
With Media
70.8%
With Links
65.7%
With #Tags
43.6%
With @Mentions
60.1%
With Emojis
120
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.3%
Weekday Posts
33.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,201 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 756 retweets (24% 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 3,201 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 cricket fans, particularly supporters of the Thunder team, and the broader ThunderNation community. The content appeals to both casual and dedicated followers.
Average
Audience Quality
34.7%
Suspicion Index
39.0%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.7%
Empty Bio
47.0%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
82.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
31.2%
<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.
7,384,928
Total Potential Reach
6
Median Follower Reach
32
75th Percentile Reach
1.5%
>1K followers
0.1%
>10K followers
0.0%
>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).
27.8%
Creators
13,909 accounts
25.2%
Consumers
12,608 accounts
47.0%
Dormant
23,483 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):
130
Verified Followers
0.13% of total
6,247
Protected Accounts
6.19% 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 |
|---|---|---|---|
| @JohnCena | 14,100,921 | Wrestler | Wrestling, Motivation, Self-promotion |
| @zlj517 | 1,984,601 | Spokesman | Geopolitics, Diplomacy, Communication |
| @AzharMahmood11 | 1,082,433 | Cricketer | Cricket, Coaching, Instagram |
| @T20WorldCup | 1,029,772 | Sports Event | Cricket, Men's, Women's |
| @josbuttler | 1,021,415 | Cricketer | Cricket, Sponsorships, Sportswear |
| @larrykim | 728,690 | Entrepreneur | Startups, AdWords, Chatbots |
| @ACBofficials | 698,782 | Sports Administration | Cricket, Afghanistan, Sports |
| @airindiain | 606,583 | - | - |
| @IamMzilikazi | 547,504 | Musician | Pan-African music, Album, Rise |
| @bbctms | 514,031 | Cricket Commentators | Cricket, Commentary, Iconic |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,139
Followers With Bio
47,859
Followers Without Bio
52.61%
% With Bio
47.39%
% 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 3,201 analyzed45,162
Combined Engagement
43,039
Total Likes
2,123
Total Retweets
9,032
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Hasnain looks like the nicest guy to ever bowl rockets.
Time to BAT and chase 140 runs, let’s show the nation how Western Sydney does it ⚡️💪🔥 https://t.co/bVKCsR9F90
Welcome, Muhammad Hasnain! 🇵🇰💚 #BBL11 #ThunderNation https://t.co/BSxDJQZ8pZ
HASNAIN very politely celebrating a big wicket.
Congratulations, Samsy! 🤩 #ThunderNation https://t.co/IUyINh7AyF
Key Insights & Takeaways
The account emphasizes player introductions and team spirit, which helps build fan loyalty. It leverages trending topics and events to boost visibility and engagement. The use of emojis and motivational language creates an energetic and inclusive atmosphere.
Strengths
- + Established follower base of 161,909
- + 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 @ThunderBBL reveals an growing Twitter presence with 161,909 followers. The account demonstrates a content-creator strategy, averaging 85.9 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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