Superliga Femenina DoradoBet
⚽🇪🇨 La casa del fútbol femenino ecuatoriano.
12,013
Followers
63
Following
1,815
Tweets
26.2
Avg Engagement
35
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SuperLigaFEF'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:2019-04-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:21.3
- Avg Retweets per Tweet:4.9
- Followers Analyzed:11,126
Engagement Analysis
Based on 500 tweetsThe account maintains a steady level of engagement, with an average of 289 likes and 49 retweets per tweet. The top tweets often include celebratory messages and links to related content, which likely drive higher interaction.
21.3
Avg Likes/Tweet
4.9
Avg Retweets/Tweet
10,661
Total Likes
2,446
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
2
Median Retweets
29
75th Percentile
547
Top Tweet
2.18
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
96.0%
Original
1.8%
Replies
1.4%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
75.0%
With Links
90.2%
With #Tags
35.4%
With @Mentions
98.6%
With Emojis
120
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.57
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
39.2%
Weekday Posts
60.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 7 retweets (1% 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 500 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 11,126 followersThe audience is likely Ecuadorian football fans, particularly those interested in women's football. The content is tailored to engage with fans and supporters of Ecuadorian teams.
Average
Audience Quality
20.6%
Suspicion Index
21.0%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.1%
Empty Bio
18.0%
<10 Tweets
11.8%
Mass Following (>2K)
0.0%
New (<90 days)
49.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.2%
No URL
11.0%
<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.
33,614,215
Total Potential Reach
55
Median Follower Reach
222
75th Percentile Reach
8.0%
>1K followers
1.7%
>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).
64.6%
Creators
7,192 accounts
17.4%
Consumers
1,936 accounts
18.0%
Dormant
1,998 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):
78
Verified Followers
0.7% of total
1,189
Protected Accounts
10.69% of total
8 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 |
|---|---|---|---|
| @JohnCena | 14,105,738 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CONMEBOL | 1,918,021 | Football Organization | Football, South America, History |
| @BarcelonaSC | 1,429,794 | Sports Team | Football, Ecuador, History |
| @Primicias | 1,210,741 | Media | - |
| @Expresoec | 1,056,258 | News outlet | local news, national news, international news |
| @FIFAWWC | 964,289 | Sports Media | Soccer, Women's sports, FIFA |
| @FEFecuador | 612,109 | Sports Organization | Football, Ecuador, Federation |
| @LaTri | 439,193 | Footballer | Football, Ecuador, National Team |
| @StudioFutbol | 294,609 | Sports Journalist | Fútbol, Ecuador, Diario Digital |
| @futbolecuador | 269,694 | Sports News | Soccer, App, Telegram |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,669
Followers With Bio
3,457
Followers Without Bio
68.93%
% With Bio
31.07%
% 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 500 analyzed2,116
Combined Engagement
1,836
Total Likes
280
Total Retweets
423
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
🙌 ¡@BSCFemenino_ clasifica a los Play-Off! 💪 Líderes del Grupo 1 e invictas #MismoJuegoMismaEmoción 🇪🇨 https://t.co/sc2M1236ue
👏 ¡FELICITACIONES @Clubnanas! https://t.co/bqyciaRFnc
✅ ¡Primer clasificado a Semifinales @BSCFemenino_! #MismoJuegoMismaEmoción 🇪🇨 https://t.co/K1gTmwBrlF
¡Insuperable! ⚽️🔝🔥 Madelin Riera vuelve a ser la goleadora de la Superliga Femenina DirecTV con 29 tantos👏 #MismoJuegoMismaEmoción 🇪🇨 https://t.co/ZEjGLr2SV4
🥹¿Qué opinas del título de @clubnanas? #MismoJuegoMismaEmoción 🇪🇨 https://t.co/9KYpf5T3RF
Key Insights & Takeaways
The account focuses on celebrating team achievements and milestones, which helps build a sense of community and pride. It uses hashtags like #MismoJuegoMismaEmoción to create a unified theme and encourage engagement. The inclusion of links suggests a strategy to drive traffic to official team pages or event information.
Strengths
- + Established follower base of 12,013
- + 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 @SuperLigaFEF reveals an growing Twitter presence with 12,013 followers. The account demonstrates a content-creator strategy, averaging 26.2 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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