Team Spirit
Esports organization
100,666
Followers
891
Following
25,415
Tweets
101.8
Avg Engagement
413
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Team__Spirit'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:2015-09-29
- Verification:No
- Location:Serbia
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:92.6
- Avg Retweets per Tweet:9.2
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,249 tweetsThe account has a high average number of likes and retweets, indicating strong fan interaction. The content is well-received and often shared within the community.
92.6
Avg Likes/Tweet
9.2
Avg Retweets/Tweet
300,780
Total Likes
29,825
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
0
Median Retweets
66
75th Percentile
11,473
Top Tweet
1.01
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
66.4%
Original
28.6%
Replies
2.3%
Retweets
2.7%
Quotes
0.0%
Threads
0.3%
With Media
76.2%
With Links
42.2%
With #Tags
44.0%
With @Mentions
44.1%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
1.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.2%
Weekday Posts
35.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 75 retweets (2% 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 3,249 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 10,999 followersThe audience primarily consists of Dota 2 fans and esports enthusiasts who follow their progress in major tournaments. They are likely interested in competitive gaming and team updates.
Average
Audience Quality
33.2%
Suspicion Index
44.6%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.5%
Empty Bio
48.0%
<10 Tweets
4.6%
Mass Following (>2K)
0.0%
New (<90 days)
71.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
35.7%
<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.
6,664,042
Total Potential Reach
6
Median Follower Reach
37
75th Percentile Reach
2.2%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
29.9%
Creators
3,292 accounts
22.0%
Consumers
2,422 accounts
48.0%
Dormant
5,285 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):
66
Verified Followers
0.6% of total
1,039
Protected Accounts
9.45% of total
3 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 |
|---|---|---|---|
| @Gaules | 1,036,118 | Streamer | Gaming, Community, Entertainment |
| @ZachBoychuk | 827,770 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @kennyS_ | 614,522 | Professional Gamer | CS:GO, eSports, Gaming |
| @HLTVorg | 574,024 | Esports | Counter-Strike, Competitive Gaming, Esports |
| @FURIA | 537,949 | Esports Team | Esports, Performance, Lifestyle |
| @csmoneytrade | 172,971 | Skins Trader | CS:GO, Skins, Trading |
| @caspercadiaN | 157,792 | Esports Player | AWP, IGL, Heroicgg |
| @LTZONDA | 145,016 | Streamer | Gaming, Streaming, Loyalty |
| @Aui_2000 | 135,313 | Esports Player | Dota 2, eSports, Cosplay |
| @GamersClubCS | 119,432 | Gaming | Gaming, Battle Experience, Exclusive Missions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,113
Followers With Bio
5,886
Followers Without Bio
46.49%
% With Bio
53.51%
% 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 3,249 analyzed38,486
Combined Engagement
24,825
Total Likes
13,661
Total Retweets
7,697
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @whataweekhuh: shoot I forgor https://t.co/9ZgHbvu7la
We are your PGL #ArlingtonMajor 2022 CHAMPIONS. Thanks for cheering, see you at The International 2022 ✌🏻 #SpiritDota #Dota2 https://t.co/75Fuu0Jss7
The International 11 is over for us. We fought to the end and tried to show our best game. Thanks to all our fans who woke up early in the morning to support the team. We will come back stronger ❤️ https://t.co/VKwcGlN45v
PGL Arlington Major champions ✌️ https://t.co/6Ci6mYa57b
Thanks @keepingitKyle 👌 https://t.co/mHBmabCmE7
Key Insights & Takeaways
The account frequently promotes major tournament wins and events, which drives engagement. Content is tailored to highlight team achievements and fan support. The use of hashtags and links to official event pages enhances visibility and credibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 100,666
- + 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 @Team__Spirit reveals an well-established Twitter presence with 100,666 followers. The account demonstrates a content-creator strategy, averaging 101.8 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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