Robin Chipperfield
Freelance Sports broadcaster in Sydney, working for ABC, Fox, Cricket Australia, SBS. Previously I was main Sports Presenter for BBC Nottingham for 20+ years 🌈
51,744
Followers
860
Following
28,060
Tweets
28.0
Avg Engagement
228
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sportchippers'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:2009-09-09
- Verification:No
- Location:Sydney, New South Wales
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:18.4
- Avg Retweets per Tweet:9.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,230 tweetsTheir tweets typically receive an average of 2,269 likes and 185 retweets, indicating a strong and active audience. The content is engaging, often blending humor with sports highlights to maintain viewer interest.
18.4
Avg Likes/Tweet
9.6
Avg Retweets/Tweet
59,400
Total Likes
30,934
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
8
75th Percentile
15,484
Top Tweet
0.54
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
42.5%
Original
45.0%
Replies
5.4%
Retweets
7.2%
Quotes
0.0%
Threads
0.2%
With Media
47.2%
With Links
33.9%
With #Tags
57.9%
With @Mentions
12.3%
With Emojis
115
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.06
Reply/Original Ratio
1.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 175 retweets (5% 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 3,230 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 sports enthusiasts and fans of cricket and football, given the broadcaster's focus areas. They are likely interested in both live sports updates and behind-the-scenes insights.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
21
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)
89.6%
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.
14,369,429
Total Potential Reach
21
Median Follower Reach
167
75th Percentile Reach
7.2%
>1K followers
1.2%
>10K followers
0.5%
>50K followers
0.3%
>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
717
Protected Accounts
7.17% of total
6 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 |
|---|---|---|---|
| @British_Airways | 1,445,670 | Airline | Travel, Customer Service, Aviation |
| @SinghLions | 1,325,798 | Restaurateur | Food, Travel, Influencer |
| @larrykim | 724,341 | Entrepreneur | Startups, AdWords, Chatbots |
| @ASRomaEN | 721,814 | Sports Team | Football, Soccer, Sports |
| @DavidHussey29 | 537,125 | Cricket Coach | Cricket, Coaching, Mentorship |
| @bbctms | 528,809 | Cricket Commentators | Cricket, Commentary, Iconic |
| @eljonesuk | 337,166 | Sports Broadcaster | Football, Betting, Podcasting |
| @lauriewhitwell | 321,032 | Journalist | Manchester United, Journalist, Instagram |
| @danroan | 311,580 | Sports Journalist | Sports, Journalism, Podcasts |
| @ChrisWheatley | 307,162 | Sports Journalist | Football, Arsenal, Reporting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,654
Followers With Bio
5,346
Followers Without Bio
46.54%
% With Bio
53.46%
% 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 3,230 analyzed37,144
Combined Engagement
14,317
Total Likes
22,827
Total Retweets
7,429
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
Touch of quality from the Barnet v Southend game on Monday… 😆😆🤦♂️🤦♂️😆😆 https://t.co/g6MoPeFnMO
RT @JDiamond1: So the President is touting House victories while insisting his own election is being stolen. Elections for House & President are cast on the same ballot -- you can't claim one is rigged while saying the other is valid
RT @carolecadwalla: Thanks to the MP for Newmarket who has taken £100k off the racing industry in last year, horse racing will resume on Monday. Thanks to this tweet, I now want to know EVERYTHING about how decision made to let Cheltenham go ahead https://t.co/kc9ELybNmI
RT @OFalafel: Fantastic rollout – 76% of adults over the age of 40 have now been offered the Tottenham Hotspur managers job.
RT @iocmedia: BRISBANE 2032 ELECTED AS HOST OF THE GAMES OF THE XXXV OLYMPIAD! CONGRATULATIONS! https://t.co/h66C9pHxcG
Key Insights & Takeaways
The content often includes humorous and relatable moments from sports games, which helps to build a personal connection with the audience. They frequently share highlights from matches, showcasing their expertise and keeping followers updated on key events. The use of emojis and casual language suggests a more informal and approachable tone in their communication style.
Strengths
- + Established follower base of 51,744
- + High community engagement through conversations
- + 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 @sportchippers reveals an growing Twitter presence with 51,744 followers. The account demonstrates a conversation-first approach, averaging 28.0 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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