Yannick Nyanga

Yannick Nyanga

@YannickNyanga

Entraineur/Manager des Espoirs du @Racing92 Fier d’être soutenu par @adidasFr & @avecleXV Aime partager

Hauts-de-Seine, Ile-de-France https://www.facebook.com/unsupportedbrowser Joined 2011-12-23 Date of Analysis: Dec 16, 2025

109,778

Followers

1,026

Following

5,166

Tweets

1,544.7

Avg Engagement

365

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @YannickNyanga'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:2011-12-23
  • Verification:No
  • Location:Hauts-de-Seine, Ile-de-France

Data Summary

  • Tweets Analyzed:3,171
  • Avg Likes per Tweet:35.3
  • Avg Retweets per Tweet:1,509.4
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,171 tweets

His tweets receive an average of 1,788 likes and 584 retweets, indicating a highly engaged community. The high engagement suggests his content resonates well with his followers.

35.3

Avg Likes/Tweet

1,509.4

Avg Retweets/Tweet

111,833

Total Likes

4,786,400

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

4

Median Retweets

82

75th Percentile

1,416,325

Top Tweet

14.07

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

13.4%

Original

24.0%

Replies

34.2%

Retweets

28.4%

Quotes

0.0%

Threads

1.1%

With Media

64.3%

With Links

27.9%

With #Tags

68.6%

With @Mentions

59.7%

With Emojis

109

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.79

Reply/Original Ratio

0.83

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

67.4%

Weekday Posts

32.6%

Weekend Posts

Top Hashtags

#racingfamily (125) #xvdefrance (43) #soutienslexv (39) #allbleus (24) #rugby (20) #rwc2015 (20) #top14 (19) #rio2016 (15) #championscup (11) #racing92 (9)

Most Mentioned

@racing92 (292) @yannicknyanga (200) @szarzewskidim2 (145) @ffrugby (94) @greglamboley (57) @titidusautoir (49) @michalakfred (49) @espritdelaregle (45) @stadetoulousain (42) @rodge33 (36)

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Content Strategy Analysis

Based on 3,171 tweets

Content Type Distribution

Content Breakdown

Original Tweets 425 (13%)
Replies 761 (24%)
Retweets 1,083 (34%)
Quote Tweets 902 (28%)

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 1,083 retweets (34% 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 3,171 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 10,000 followers

His audience includes football fans, coaches, and sports enthusiasts interested in tactical analysis and leadership. The content appeals to those looking for both professional and personal development insights.

Average

Audience Quality

34.8%

Suspicion Index

47.1%

Low-Quality %

9

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

58.9%

Empty Bio

46.4%

<10 Tweets

8.9%

Mass Following (>2K)

0.0%

New (<90 days)

72.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.0%

No URL

35.4%

<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.

26,317,599

Total Potential Reach

9

Median Follower Reach

60

75th Percentile Reach

4.6%

>1K followers

1.3%

>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).

33.2%

Creators

3,319 accounts

20.4%

Consumers

2,038 accounts

46.4%

Dormant

4,643 accounts

29

Verified Followers

0.29% of total

3.4%

Professional Bios

founder, dev, analyst, etc.

0.04

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):

France (250) Paris, France (209) Toulouse, France (161) Paris (90) Ile-de-France, France (69) Bordeaux, France (36) Lyon, France (36) Montpellier, France (29) Marseille, France (27) Midi-Pyrénées, France (26)

29

Verified Followers

0.29% of total

578

Protected Accounts

5.78% of total

6 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 14,093,806 Wrestler Wrestling, Motivation, Self-promotion
@DenisBrogniart 719,706 Journaliste Journalisme, Koh Lanta, Automobile
@WelshRugbyUnion 532,286 Rugby Rugby, Wales, #HWFN
@BeyeHabib 503,112 Football Coach Football, Coaching, Adventure
@Anthar6Officiel 427,048 Footballer Football, Coaching, Promotion
@SuperCazarre 371,140 Parodist #Foot, #PSG, montages professionnels
@FFLose 367,406 Sports Satirist Sports, Autodérision, Bible
@Jamiehuwroberts 349,089 Rugby Player Rugby, Doctor, Welsh
@clemovitch 300,504 Journalist politics, journalism, education
@idrissaberkane 283,396 Hyperdoctor Biomimicry, polymath, Savant-Soldat

Top Keywords in Follower Bios

rugby (663) sport (195) sports (118) france (96) vie (88) journaliste (87) football (81) joueur (72) paris (71) compte (71)

Top Hashtags in Follower Bios

#rugby (56) #sport (28) #teamom (22) #innovation (12) #sports (11) #e (11) #communication (10) #digital (10) #marketing (9) #xvdefrance (7)

4,109

Followers With Bio

5,891

Followers Without Bio

41.09%

% With Bio

58.91%

% 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 3,171 analyzed

2,472,993

Combined Engagement

0

Total Likes

2,472,993

Total Retweets

494,599

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Football Coaching Sports Philosophy Leadership Personal Development Tactical Analysis Emotional Expression

Key Insights & Takeaways

He often shares personal gratitude and emotional expressions, which build a strong connection with his audience. He references influential figures like Marcel Bielsa, indicating a focus on strategic and philosophical aspects of sports. His tweets sometimes include partial quotes or thoughts, encouraging deeper reflection and discussion.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 109,778
  • + 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 @YannickNyanga reveals an exceptionally influential Twitter presence with 109,778 followers. The account demonstrates a conversation-first approach, averaging 1,544.7 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