Koldo
🇪🇸 Jungler for @koi // Contact: @Darthyellow_lol / https://www.facebook.com/unsupportedbrowser
63,409
Followers
544
Following
8,914
Tweets
628.8
Avg Engagement
158
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Koldo_LoL'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:2013-05-30
- Verification:No
- Location:España,Murcia
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:605.3
- Avg Retweets per Tweet:23.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,232 tweetsKoldo_LoL's tweets receive high engagement, with an average of 18,023 likes and 1,129 retweets per tweet. Their content is well-received and often shared within the gaming community.
605.3
Avg Likes/Tweet
23.4
Avg Retweets/Tweet
1,956,483
Total Likes
75,716
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
135
Median Likes
1
Median Retweets
567
75th Percentile
59,905
Top Tweet
9.92
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
37.3%
Original
53.1%
Replies
4.4%
Retweets
5.2%
Quotes
0.0%
Threads
0.0%
With Media
26.0%
With Links
5.9%
With #Tags
59.8%
With @Mentions
20.9%
With Emojis
71
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.42
Reply/Original Ratio
1.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,232 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 143 retweets (4% 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 3,232 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 League of Legends players and fans interested in gaming and personal stories. They are engaged and appreciate the blend of humor and authenticity.
Average
Audience Quality
27.6%
Suspicion Index
35.1%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.9%
Empty Bio
31.5%
<10 Tweets
3.0%
Mass Following (>2K)
0.0%
New (<90 days)
67.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
20.3%
<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.
4,868,324
Total Potential Reach
9
Median Follower Reach
46
75th Percentile Reach
1.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
42.1%
Creators
4,207 accounts
26.4%
Consumers
2,645 accounts
31.5%
Dormant
3,148 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):
33
Verified Followers
0.33% of total
795
Protected Accounts
7.95% 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 |
|---|---|---|---|
| @LeBronJames | 939,031 | - | - |
| @ImAgus51 | 852,795 | Content Creator | FIVEMediaClan, Owner, Gaming |
| @Slasher | 381,552 | Esports Consultant | esports, gaming, internet culture |
| @KOIxENG | 253,377 | - | - |
| @PremiosESLAND | 168,125 | Awards Organizer | streaming, comunidad, premios |
| @TomekHajto7 | 127,768 | Footballer | Football, Schalke 04, Derby |
| @memines_ | 120,039 | Traffic Reporter | Traffic, Memes, Opinions |
| @missandieftw | 106,826 | Content Creator | PUBG, Valorant, Gaming |
| @DavidCastain | 105,599 | Academic | Forbes, Ph.D. Candidate, Kappa Alpha Psi |
| @Maaylen | 83,161 | Digital Artist | Digital art, KOI, Streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,007
Followers With Bio
4,993
Followers Without Bio
50.07%
% With Bio
49.93%
% 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 3,232 analyzed120,875
Combined Engagement
113,932
Total Likes
6,943
Total Retweets
24,175
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
soy bisexual, me gustan las mujeres y axozer
Mi pcr ha dado negativo, las 23 chicas con las que no me bese podéis estar tranquilas 😜
Estoy temblando
COMO SE TATUA UN VIDEO? Hoy duermo feliz Muchas gracias @IbaiLlanos @Aitanax ❤️ https://t.co/FIK929WgbJ
que esta pasando https://t.co/F6Aq1ofbsL
Key Insights & Takeaways
Koldo_LoL openly shares personal identity and experiences, which fosters a sense of community and connection. They use humor and relatable situations to engage their audience effectively. Their content often includes personal updates and interactions that keep followers interested and involved.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 63,409
- + 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 @Koldo_LoL reveals an well-established Twitter presence with 63,409 followers. The account demonstrates a conversation-first approach, averaging 628.8 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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