Magnus Carlsen
World Chess Champion. The highest ranked chess player in the world. Former (live) #1 Fantasy Premier League player
982,511
Followers
128
Following
1,151
Tweets
2,969.9
Avg Engagement
3,095
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MagnusCarlsen'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:2009-04-11
- Verification:No
- Location:Norway
Data Summary
- Tweets Analyzed:1,110
- Avg Likes per Tweet:2,790.3
- Avg Retweets per Tweet:179.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,110 tweetsMagnus Carlsen's tweets receive high engagement, averaging 64,591 likes and 4,690 retweets per post. His content is widely appreciated, indicating strong audience interaction and interest.
2,790.3
Avg Likes/Tweet
179.6
Avg Retweets/Tweet
3,097,196
Total Likes
199,378
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
180
Median Likes
35
Median Retweets
1,765
75th Percentile
213,645
Top Tweet
3.02
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
62.6%
Original
14.5%
Replies
6.7%
Retweets
16.2%
Quotes
0.0%
Threads
0.7%
With Media
55.0%
With Links
21.1%
With #Tags
40.3%
With @Mentions
14.4%
With Emojis
101
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
2.43
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.8%
Weekday Posts
23.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,110 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 74 retweets (7% 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 1,110 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 followersHis audience primarily consists of chess enthusiasts and sports fans, with a significant portion being young adults interested in both chess and entertainment. The audience is also drawn to his personality and humor.
Average
Audience Quality
28.7%
Suspicion Index
39.1%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.1%
Empty Bio
40.3%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
63.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
29.2%
<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.
15,173,674
Total Potential Reach
7
Median Follower Reach
39
75th Percentile Reach
2.1%
>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).
36.5%
Creators
18,262 accounts
23.2%
Consumers
11,611 accounts
40.3%
Dormant
20,127 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):
942
Verified Followers
0.93% of total
10,938
Protected Accounts
10.83% of total
4 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 |
|---|---|---|---|
| @louistheroux | 2,246,494 | Documentary Filmmaker | Documentaries, Irony, Filmmaking |
| @MattWallace888 | 955,094 | YouTuber | Crypto, Dogecoin, YouTube |
| @cpulisic_10 | 850,028 | - | - |
| @TACOCS | 544,513 | Professional Gamer | CS:GO, Team Captain, Gaming |
| @crr | 543,936 | Professional Gamer | Gaming, eSports, Sponsorships |
| @pachucacurves | 456,413 | History buff | Ancient history, anime, acoustic music |
| @RealKyper | 394,837 | Hockey Analyst | Hockey, Sports Betting, Author |
| @philosophytweet | 386,804 | - | - |
| @Morpheusresist | 379,683 | - | - |
| @FaZe_rainCS | 375,949 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,997
Followers With Bio
49,002
Followers Without Bio
51.48%
% With Bio
48.52%
% 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 1,110 analyzed610,490
Combined Engagement
574,897
Total Likes
35,593
Total Retweets
122,098
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
My statement regarding the last few weeks. https://t.co/KY34DbcjLo
Hi. My name is Magnus Carlsen. https://t.co/HhZwt4bMXW
Call me mr five times https://t.co/t6PVx2rC91
JUST WON A CHESS TOURNAMENT AGAIN
🖐 https://t.co/u2Mx9ourmH
Key Insights & Takeaways
His top tweets often include personal statements and achievements, which resonate well with his audience. He frequently shares updates about his chess career and personal life, maintaining a balance between professional and casual content. Engagement is high, suggesting that his audience values both informative and entertaining content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 982,511
- + 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 @MagnusCarlsen reveals an exceptionally influential Twitter presence with 982,511 followers. The account demonstrates a content-creator strategy, averaging 2,969.9 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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