FCRF 🇨🇷

FCRF 🇨🇷

@fedefutbolcrc

Cuenta Oficial de las Selecciones de Fútbol de Costa Rica. #VamosTicos 🇨🇷

Costa Rica https://t.co/iHHdCi3SxA Joined 2013-01-14 Date of Analysis: Dec 16, 2025

304,461

Followers

316

Following

33,027

Tweets

110.6

Avg Engagement

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @fedefutbolcrc'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:2013-01-14
  • Verification:No
  • Location:Costa Rica

Data Summary

  • Tweets Analyzed:3,238
  • Avg Likes per Tweet:69.5
  • Avg Retweets per Tweet:41.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,238 tweets

The account consistently receives high likes and retweets, showing strong audience interaction. It uses hashtags and emojis to enhance engagement and create a sense of community among followers.

69.5

Avg Likes/Tweet

41.1

Avg Retweets/Tweet

224,938

Total Likes

133,151

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

12

Median Likes

1

Median Retweets

60

75th Percentile

24,498

Top Tweet

0.36

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

48.5%

Original

25.7%

Replies

18.3%

Retweets

7.5%

Quotes

0.0%

Threads

0.0%

With Media

59.0%

With Links

62.6%

With #Tags

44.7%

With @Mentions

85.9%

With Emojis

123

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.53

Reply/Original Ratio

0.41

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

72.7%

Weekday Posts

27.3%

Weekend Posts

Top Hashtags

#fcrf (1730) #laselefemenina (595) #lasele (451) #puravidaenqatar22 (236) #u20wwc (224) #laselefemeninasub20 (210) #vamosjuntas (210) #qatar2022 (149) #laselesub17 (126) #elsueñoesahora (118)

Most Mentioned

@fedefutbolcrc (184) @fifaworldcup_es (83) @fifawwc (71) @sanmarinismo (53) @noebermudez_13 (46) @concacafw (45) @tdmas_cr (37) @raque_rocky (34) @joel_campbell12 (32) @vale_delca (32)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,238 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,569 (48%)
Replies 832 (26%)
Retweets 594 (18%)
Quote Tweets 243 (8%)

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 594 retweets (18% 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 3,238 tweets

Engagement 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 followers

The primary audience consists of football fans in Costa Rica and abroad, particularly those interested in the national teams. The content appeals to passionate supporters who enjoy match updates and team-related news.

Below Average

Audience Quality

36.4%

Suspicion Index

48.3%

Low-Quality %

3

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

52.1%

Empty Bio

56.4%

<10 Tweets

6.6%

Mass Following (>2K)

0.0%

New (<90 days)

75.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.8%

No URL

44.5%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

69,496,090

Total Potential Reach

3

Median Follower Reach

30

75th Percentile Reach

2.5%

>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).

26.4%

Creators

13,215 accounts

17.2%

Consumers

8,577 accounts

56.4%

Dormant

28,208 accounts

205

Verified Followers

0.41% of total

2.1%

Professional Bios

founder, dev, analyst, etc.

0.03

Median Follow Ratio

follower/following

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):

Costa Rica (2,162) San José, Costa Rica (1,219) Alajuela, Costa Rica (418) Heredia, Costa Rica (417) Cartago, Costa Rica (330) Puntarenas, Costa Rica (132) Bogotá, D.C., Colombia (129) Honduras (110) Guanacaste, Costa Rica (104) San Jose, Costa Rica (101)

378

Verified Followers

0.38% of total

8,702

Protected Accounts

8.7% 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
@FIFAcom 16,325,289 Sports Media Football, News, Unity
@JohnCena 14,102,336 Wrestler Wrestling, Motivation, Self-promotion
@brfootball 6,690,742 Sports Media Soccer, Sports, News
@miseleccionmx 6,670,958 Sports Team Soccer, Mexico, Pride
@CBF_Futebol 5,751,602 Sports Organization Football, Brazil, Official
@FCFSeleccionCol 5,595,059 Football (Soccer) Football, Colombia, Official Account
@vanguardngrnews 4,314,229 News Outlet Politics, Business, Entertainment
@adidasfootball 4,047,273 Sports Brand Sport, Change, Power
@BBCMOTD 3,358,674 Football Coverage football, coverage, follow
@USMNT 2,339,421 Soccer Player Soccer, United States, Men's National Team

Top Keywords in Follower Bios

futbol (3,221) vida (2,764) costa (1,838) rica (1,803) dios (1,691) gusta (1,247) amante (1,043) amo (932) musica (921) familia (898)

Top Hashtags in Follower Bios

#costarica (50) #1 (43) #puravida (33) #football (21) #futbol (20) #halamadrid (20) #safc (14) #fu (14) #bitcoin (13) #saprissa (13)

51,422

Followers With Bio

48,578

Followers Without Bio

51.42%

% With Bio

48.58%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,238 analyzed

80,815

Combined Engagement

23,879

Total Likes

56,936

Total Retweets

16,163

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Football National Teams Fan Engagement World Cup Costa Rica Sports Events

Key Insights & Takeaways

The account uses emotional and energetic language to build excitement and connection with fans. It frequently references major events like the FIFA World Cup to increase relevance and engagement. The use of hashtags and mentions helps in expanding reach and fostering a sense of community.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 304,461
  • + 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 @fedefutbolcrc reveals an well-established Twitter presence with 304,461 followers. The account demonstrates a content-creator strategy, averaging 110.6 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025