Squawka

Squawka

@Squawka

More than the score. The stats behind the stories. Follow @Squawka_Live for matchday football coverage. Follow @SquawkaBet for tips. Opta data.

👇 Enter the Comparison Matrix https://t.co/C2KKrmDLg2 Joined 2011-10-05 Date of Analysis: Dec 16, 2025

1,255,300

Followers

956

Following

232,487

Tweets

780.7

Avg Engagement

7,944

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Squawka'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: Mega Influencer (1M+)
  • Account Age:2011-10-05
  • Verification:Yes
  • Location:👇 Enter the Comparison Matrix

Data Summary

  • Tweets Analyzed:3,240
  • Avg Likes per Tweet:649.5
  • Avg Retweets per Tweet:131.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,240 tweets

Squawka's tweets receive high engagement, with an average of 14,597 likes and 2,450 retweets per post. This indicates strong interest in the content and its relevance to followers.

649.5

Avg Likes/Tweet

131.2

Avg Retweets/Tweet

2,104,324

Total Likes

425,044

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

220

Median Likes

42

Median Retweets

753

75th Percentile

81,687

Top Tweet

0.62

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

53.3%

Original

19.5%

Replies

22.6%

Retweets

4.6%

Quotes

0.0%

Threads

0.0%

With Media

60.5%

With Links

15.7%

With #Tags

33.1%

With @Mentions

48.1%

With Emojis

160

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.37

Reply/Original Ratio

0.2

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

59.2%

Weekday Posts

40.8%

Weekend Posts

Top Hashtags

#ucl (137) #fifaworldcup (97) #uel (36) #emiratesfacup (29) #ad (21) #thebest (20) #plawards (13) #cheltenhamfestival (13) #fra (13) #arg (12)

Most Mentioned

@squawka_live (397) @williamhill (321) @benmgreen95 (23) @copybetuk (20) @squawka (17) @harryedwards16 (15) @fabrizioromano (15) @midnite (14) @bet365 (13) @premierleague (12)

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Content Strategy Analysis

Based on 3,240 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,728 (53%)
Replies 632 (20%)
Retweets 732 (23%)
Quote Tweets 148 (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 732 retweets (23% 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 3,240 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 includes football enthusiasts, analysts, and fans looking for in-depth stats and match insights. It also targets users interested in betting and live match updates.

Average

Audience Quality

26.5%

Suspicion Index

33.1%

Low-Quality %

25

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.6%

Empty Bio

30.9%

<10 Tweets

8.3%

Mass Following (>2K)

0.0%

New (<90 days)

58.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.6%

No URL

20.6%

<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.

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Follower Reach & Influence

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

41,559,666

Total Potential Reach

25

Median Follower Reach

122

75th Percentile Reach

4.6%

>1K followers

0.5%

>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).

46.3%

Creators

23,154 accounts

22.8%

Consumers

11,386 accounts

30.9%

Dormant

15,460 accounts

253

Verified Followers

0.51% of total

4.8%

Professional Bios

founder, dev, analyst, etc.

0.07

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):

Lagos, Nigeria (746) Nigeria (551) London, England (358) Nairobi, Kenya (299) Accra, Ghana (235) United Kingdom (172) Kampala, Uganda (171) Abuja, Nigeria (136) England, United Kingdom (133) Manchester, England (116)

416

Verified Followers

0.41% of total

8,628

Protected Accounts

8.54% 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
@JohnCena 14,105,454 Wrestler Wrestling, Motivation, Self-promotion
@werevertumorro 8,723,724 Influencer Gaming, Comedy, Email Marketing
@johnwinyu 2,013,916 Executive Director Leadership, Innovation, Social Impact
@empireofthekop 1,928,857 Football Fan Liverpool, football, fans
@LeonKrauze 1,584,422 Journalist TV, Journalism, Podcasts
@TheSteinLine 1,455,625 Sports Journalist NBA, correspondent, dad
@Omojuwa 1,232,430 Influencer Tweets, my view, Author
@nbenotman 721,131 - -
@solalexasch 678,376 Musician Music, Travel, Tattoos
@RVCJ_FB 631,975 Media Entertainment, Humor, Viral

Top Keywords in Follower Bios

football (3,664) arsenal (2,111) love (1,951) life (1,690) god (1,569) united (1,531) chelsea (1,447) sports (1,380) fc (1,377) manchester (1,263)

Top Hashtags in Follower Bios

#mufc (313) #coyg (247) #ynwa (185) #ggmu (147) #glazersout (132) #arsenal (131) #lfc (121) #cfc (119) #fpl (86) #afc (81)

58,898

Followers With Bio

42,100

Followers Without Bio

58.32%

% With Bio

41.68%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,240 analyzed

162,188

Combined Engagement

68,483

Total Likes

93,705

Total Retweets

32,438

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

20%

With @Mentions

100%

With Links

Topical Analysis:

Football Statistics Match Analysis Player Performance Live Coverage Betting Tips

Key Insights & Takeaways

Focus on key football moments and records, such as Mbappé's World Cup performance. Use of data to highlight player stats and match outcomes. Integration of live coverage and betting tips to diversify content.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1,255,300
  • + 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 @Squawka reveals an well-established Twitter presence with 1,255,300 followers. The account demonstrates a content-creator strategy, averaging 780.7 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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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