ESPN Datos

ESPN Datos

@ESPNDatos

Nuestra misión es servir a los aficionados en todas las plataformas de ESPN con el análisis estadístico y noticioso más rápido, preciso y revelador.

Bristol/México Joined 2012-07-13 Date of Analysis: Dec 16, 2025

170,841

Followers

143

Following

62,168

Tweets

29.0

Avg Engagement

1,263

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @ESPNDatos'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:2012-07-13
  • Verification:Yes
  • Location:Bristol/México

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:21.2
  • Avg Retweets per Tweet:7.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account maintains a steady level of engagement with an average of 343 likes and 67 retweets per tweet. The content is well-received, indicating a strong connection with its audience.

21.2

Avg Likes/Tweet

7.8

Avg Retweets/Tweet

68,937

Total Likes

25,391

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

14

Median Likes

5

Median Retweets

32

75th Percentile

3,299

Top Tweet

0.17

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

92.2%

Original

2.6%

Replies

0.4%

Retweets

4.8%

Quotes

0.0%

Threads

0.0%

With Media

94.9%

With Links

44.6%

With #Tags

12.6%

With @Mentions

9.1%

With Emojis

203

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.03

Reply/Original Ratio

12.0

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

57.7%

Weekday Posts

42.3%

Weekend Posts

Top Hashtags

#ucl (132) #mlb (104) #nba (100) #laliga (90) #qatar2022 (68) #nfl (62) #copamundialfifa (62) #ligamx (57) #elclásico (31) #nba75 (27)

Most Mentioned

@eliassports (26) @realmadrid (16) @manutd (16) @statsperform (14) @atleti (13) @fcbarcelona (12) @premierleague (11) @tombrady (10) @cristiano (10) @clubamerica (9)

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 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,996 (92%)
Replies 85 (3%)
Retweets 13 (0%)
Quote Tweets 156 (5%)

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 13 retweets (0% 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 3,250 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 is sports fans who follow ESPN and are interested in detailed statistical analysis and breaking news. The content appeals to both casual and dedicated sports enthusiasts.

Average

Audience Quality

22.4%

Suspicion Index

25.4%

Low-Quality %

58

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

40.2%

Empty Bio

17.4%

<10 Tweets

13.6%

Mass Following (>2K)

0.0%

New (<90 days)

51.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.1%

No URL

10.7%

<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 Detector

Follower Reach & Influence

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

65,681,875

Total Potential Reach

58

Median Follower Reach

217

75th Percentile Reach

6.0%

>1K followers

1.2%

>10K followers

0.3%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

64.6%

Creators

32,278 accounts

18.1%

Consumers

9,026 accounts

17.4%

Dormant

8,696 accounts

115

Verified Followers

0.23% of total

3.9%

Professional Bios

founder, dev, analyst, etc.

0.1

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):

Venezuela (657) México (510) Bogotá, D.C., Colombia (466) Mexico (393) Colombia (384) Guatemala (370) Honduras (289) Lima, Peru (268) Caracas, Venezuela (259) Buenos Aires, Argentina (249)

187

Verified Followers

0.19% of total

11,732

Protected Accounts

11.62% of total

9 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
@Faitelson_ESPN 4,085,691 - -
@fantinofantino 2,900,272 Sports Commentator Sports, Entertainment, Guru Nanak
@MarcBartra 2,668,571 Footballer Football, Real Betis, Spain
@vanehupp 2,447,219 Sports Presenter Sports, TV, Doglover
@MarcoFabian_10 2,046,570 Soccer Player Football, Champion, Mexico
@DeportesRCN 1,667,437 Media Deportes, Tendencias, Negocios
@soledadobrien 1,317,636 Journalist working, mom, journalist
@SoyPaganiok 1,261,041 Sports Journalist Cars, Design, Luxury
@diariopanorama 1,178,949 News outlet Noticias, Zulia, Venezuela
@casaleantonio 1,162,096 - -

Top Keywords in Follower Bios

futbol (5,101) vida (2,893) dios (2,454) deportes (2,334) amante (2,215) periodista (1,872) deportivo (1,460) deporte (1,309) amo (1,271) musica (1,254)

Top Hashtags in Follower Bios

#halamadrid (128) #nba (69) #futbol (61) #nfl (55) #realmadrid (53) #1 (48) #mlb (38) #fu (38) #deportes (32) #bitcoin (31)

55,035

Followers With Bio

45,963

Followers Without Bio

54.49%

% With Bio

45.51%

% 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.

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 3,250 analyzed

5,663

Combined Engagement

1,536

Total Likes

4,127

Total Retweets

1,133

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Sports Analysis Statistical Insights Player Performance Espn Coverage Sports News Record-Breaking Achievements

Key Insights & Takeaways

The @ClubAmerica is the 2nd team in the last 5 years to qualify for the Liguilla after being last after 9 rounds. Al Horford is the oldest player (35 years, 364 days) with 5 triples in a Finals game. The only other player with 5 triples in a Finals game is mentioned in the tweet. Karim Benzema becomes the first Real Madrid player with 40 goals in a season since Cristiano Ronaldo in 2017-18 (44). He is also the first to achieve this milestone for the club. Additionally, the tweet highlights the significance of Benzema's performance in the context of Real Madrid's history.

Strengths

  • + Established follower base of 170,841
  • + 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 @ESPNDatos reveals an growing Twitter presence with 170,841 followers. The account demonstrates a content-creator strategy, averaging 29.0 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