David Amoyal

David Amoyal

@DavidAmoyal

Host & Writer @CalcioLandPod Featured on @DiMarzio @ESPN @TheAthletic @SiriusXMFC @Vox2Box @guardian Music,Films,Calcio,Food,Meditation Was never a journalist

Joined 2011-08-16 Date of Analysis: Dec 16, 2025

119,005

Followers

918

Following

469,832

Tweets

212.7

Avg Engagement

1,490

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DavidAmoyal'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:2011-08-16
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,201
  • Avg Likes per Tweet:8.0
  • Avg Retweets per Tweet:204.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,201 tweets

Amoyal's tweets typically receive moderate engagement, with an average of 187 likes and 32 retweets. His content is well-received, indicating a dedicated and interested audience.

8.0

Avg Likes/Tweet

204.7

Avg Retweets/Tweet

25,609

Total Likes

655,267

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

11

75th Percentile

44,066

Top Tweet

1.79

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

14.0%

Original

62.4%

Replies

13.3%

Retweets

10.3%

Quotes

0.0%

Threads

0.2%

With Media

23.5%

With Links

1.7%

With #Tags

69.9%

With @Mentions

1.7%

With Emojis

130

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.45

Reply/Original Ratio

0.77

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

83.8%

Weekday Posts

16.2%

Weekend Posts

Top Hashtags

#beauisafraid (4) #succesion (4) #napoli (4) #tuckercarlson (3) #juventus (2) #airmovie (2) #johnwick4 (2) #derbydellamadonnina (2) #dune (1) #duneparttwo (1)

Most Mentioned

@dkthomp (29) @super70ssports (26) @bostonglobe (21) @lst_glc (21) @valaafshar (20) @beardedgenius (19) @mnnicefc (19) @davidamoyal (18) @thatericalper (18) @retedelpiero (18)

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Content Strategy Analysis

Based on 3,201 tweets

Content Type Distribution

Content Breakdown

Original Tweets 449 (14%)
Replies 1,998 (62%)
Retweets 425 (13%)
Quote Tweets 329 (10%)

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 425 retweets (13% 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 3,201 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

His audience includes football fans, especially those interested in Italian leagues, as well as individuals who appreciate in-depth analysis and cultural commentary. The audience is likely to be engaged with sports news and media.

Average

Audience Quality

24.6%

Suspicion Index

24.6%

Low-Quality %

61

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

34.7%

Empty Bio

22.9%

<10 Tweets

18.6%

Mass Following (>2K)

0.0%

New (<90 days)

52.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.2%

No URL

14.4%

<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.

68,812,474

Total Potential Reach

61

Median Follower Reach

250

75th Percentile Reach

7.8%

>1K followers

0.9%

>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).

58.1%

Creators

29,048 accounts

19.0%

Consumers

9,486 accounts

22.9%

Dormant

11,466 accounts

198

Verified Followers

0.4% of total

6.7%

Professional Bios

founder, dev, analyst, etc.

0.09

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 (623) Nigeria (475) London, England (450) Accra, Ghana (350) Nairobi, Kenya (284) Ghana (250) Manchester, England (221) United Kingdom (215) England, United Kingdom (211) London (205)

403

Verified Followers

0.4% of total

10,789

Protected Accounts

10.68% 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 14,101,236 Wrestler Wrestling, Motivation, Self-promotion
@ESPNFC 9,096,704 Sports Journalist Football, Global Coverage, Soccer
@arjunk26 6,163,666 Actor Son, Brother, Friend
@WaelGomaa 4,007,128 Footballer Football, Analysis, Al Ahly
@DJPaulyD 3,598,307 DJ Music, DJing, Booking
@OfficialASRoma 2,310,684 - -
@BeatsByAssassin 2,261,060 Multitalented Actor, Director, Rapper
@ClaMarchisio8 2,141,401 Footballer Calcio, Ambiente, Torino
@sportbible 2,089,221 Sports Media Sport, Lifestyle, Entertainment
@6BillionPeople 2,032,992 - -

Top Keywords in Follower Bios

football (5,208) united (3,753) manchester (2,735) chelsea (2,628) love (2,556) mufc (2,347) sports (2,303) life (2,010) fc (2,003) arsenal (1,358)

Top Hashtags in Follower Bios

#mufc (1,338) #cfc (355) #glazersout (295) #ggmu (258) #lfc (233) #ynwa (232) #ktbffh (199) #chelsea (119) #finoallafine (118) #football (104)

64,046

Followers With Bio

36,948

Followers Without Bio

63.42%

% With Bio

36.58%

% 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.

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Viral Tweets

Top 5 by likes+RTs from 3,201 analyzed

174,038

Combined Engagement

0

Total Likes

174,038

Total Retweets

34,808

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Italian Football Serie A Juventus Sports Analysis Cultural Commentary Media Transfer Market Football History

Key Insights & Takeaways

He provides critical analysis of Serie A's decline and its connection to broader football trends. He highlights significant transfers and their impact on clubs like AC Milan. He shares in-depth articles and personal reflections on the challenges faced by clubs such as Juventus.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 119,005
  • + 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 @DavidAmoyal reveals an well-established Twitter presence with 119,005 followers. The account demonstrates a conversation-first approach, averaging 212.7 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