Chris Johnston
NHL Insider: @TheAthleticNHL @TSNHockey, @sdpnsports.
248,785
Followers
3,913
Following
51,863
Tweets
443.2
Avg Engagement
4,688
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @reporterchris'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:2008-12-18
- Verification:No
- Location:Toronto
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:298.2
- Avg Retweets per Tweet:145.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsThe account consistently receives high engagement, indicating a loyal and active audience. The average likes and retweets per tweet reflect a strong level of interaction and interest in the content.
298.2
Avg Likes/Tweet
145.0
Avg Retweets/Tweet
968,020
Total Likes
470,652
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
51
Median Likes
28
Median Retweets
433
75th Percentile
61,031
Top Tweet
1.78
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
43.7%
Original
11.0%
Replies
37.6%
Retweets
7.8%
Quotes
0.0%
Threads
0.2%
With Media
26.1%
With Links
33.7%
With #Tags
53.2%
With @Mentions
8.4%
With Emojis
120
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.25
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.2%
Weekday Posts
19.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 1,219 retweets (38% 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 3,246 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 audience primarily consists of hockey fans and sports enthusiasts interested in real-time updates and analysis. The account's connections to major sports outlets suggest it appeals to a broad and dedicated fan base.
Average
Audience Quality
28.6%
Suspicion Index
41.3%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.3%
Empty Bio
37.1%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
59.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.1%
No URL
27.2%
<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.
49,812,662
Total Potential Reach
12
Median Follower Reach
71
75th Percentile Reach
2.7%
>1K followers
0.3%
>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).
42.0%
Creators
20,985 accounts
20.9%
Consumers
10,446 accounts
37.1%
Dormant
18,569 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):
442
Verified Followers
0.44% of total
9,502
Protected Accounts
9.41% 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 |
|---|---|---|---|
| @VancityReynolds | 21,330,309 | Actor | gin, mobile, soccer |
| @JohnCena | 14,100,320 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CBCAlerts | 1,532,632 | News broadcaster | News, Canada, Alerts |
| @EdgeRatedR | 1,471,905 | - | - |
| @SinghLions | 1,334,245 | Restaurateur | Food, Travel, Influencer |
| @DetroitRedWings | 1,267,653 | Sports Team | Hockey, Champions, Pizza |
| @TorontoStar | 1,190,329 | News outlet | News, sports, photos |
| @TSN_Sports | 981,650 | Sports Media | Sports, Hockey, CFL |
| @strombone1 | 763,434 | Hockey Player | Hockey, Humor, Memes |
| @PredsNHL | 648,969 | Hockey Fan | Hockey, Nashville, Pekka |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,820
Followers With Bio
52,164
Followers Without Bio
48.34%
% With Bio
51.66%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,246 analyzed132,025
Combined Engagement
10,130
Total Likes
121,895
Total Retweets
26,405
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @TSN_Sports: Russian tennis player Andrey Rublev writes "No war please" on the camera following his advancement to the final in Dubai. h…
RT @IJasonAlexander: Ok, I can’t not say it. HAPPY FESTIVUS, a festival for the rest of us. May your feats be stro…
RT @BuffaloBills: Damar Hamlin spent last night in the intensive care unit and remains there today in critical condition at the University…
RT @88PKane: I will forever be proud to be a Blackhawk and call Chicago home. Thank you! https://t.co/T5f3oYV1QM
It's hard to quantify how much credibility the #NHLBruins organization lost in this whole Mitchell Miller fiasco, but let it be noted that Patrice Bergeron, Brad Marchand and other players stood up in opposition to a morally bankrupt decision by management. Kudos to them.
Key Insights & Takeaways
The account frequently shares breaking news and player updates, which drives engagement. It is linked to multiple sports media platforms, enhancing its credibility and reach. The content often includes emotional and significant events, such as player condolences and organizational controversies.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 248,785
- + 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 @reporterchris reveals an well-established Twitter presence with 248,785 followers. The account demonstrates a content-creator strategy, averaging 443.2 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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