TheRandomCricketPhotosGuy

TheRandomCricketPhotosGuy

@RandomCricketP1

Author of Do Different, Documentary Researcher, Digital Media Professional, Part-time VO Artist Here to tell cricket stories Podcast - https://www.youtube.com/c/RandomCricketPhotosPodcast

Mumbai, India Joined 2018-12-23 Date of Analysis: 12月 16, 2025

45,047

Followers

1,188

Following

19,302

Tweets

186.2

Avg Engagement

213

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @RandomCricketP1'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: Mid-Tier (10K+)
  • Account Age:2018-12-23
  • Verification:No
  • Location:Mumbai, India

Data Summary

  • Tweets Analyzed:599
  • Avg Likes per Tweet:126.3
  • Avg Retweets per Tweet:59.9
  • Followers Analyzed:44,122

Engagement Analysis

Based on 599 tweets

The account has a high average engagement rate with 2,209 likes and 178 retweets per tweet. This suggests a dedicated and active community interested in cricket content.

126.3

Avg Likes/Tweet

59.9

Avg Retweets/Tweet

75,647

Total Likes

35,907

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

12

Median Likes

1

Median Retweets

114

75th Percentile

16,619

Top Tweet

4.13

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

15.0%

Original

40.7%

Replies

24.9%

Retweets

19.4%

Quotes

0.0%

Threads

3.7%

With Media

38.6%

With Links

10.2%

With #Tags

54.1%

With @Mentions

13.9%

With Emojis

140

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.71

Reply/Original Ratio

0.78

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

69.4%

Weekday Posts

30.6%

Weekend Posts

Top Hashtags

#indvsaus (6) #bgt2023 (6) #indvaus (6) #crickettwitter (4) #workopportunity (4) #sec (3) #sa20 (3) #delhi (2) #cricket (2) #nzveng (2)

Most Mentioned

@iszzak (9) @vikramjit_s (8) @mantramugdh (5) @gryllidaec (5) @sunrisersec (5) @aniketmishra299 (4) @neerjadeodhar (4) @sportszealot07 (4) @haedaraven (4) @randomcricketp1 (4)

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Content Strategy Analysis

Based on 599 tweets

Content Type Distribution

Content Breakdown

Original Tweets 90 (15%)
Replies 244 (41%)
Retweets 149 (25%)
Quote Tweets 116 (19%)

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 149 retweets (25% 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 599 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 44,122 followers

The audience is likely cricket enthusiasts and fans interested in in-depth analysis and narratives. They are engaged with content that includes threads, historical references, and player-focused stories.

Average

Audience Quality

20.8%

Suspicion Index

19.9%

Low-Quality %

67

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

32.6%

Empty Bio

12.0%

<10 Tweets

16.2%

Mass Following (>2K)

0.0%

New (<90 days)

51.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.5%

No URL

7.2%

<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.

61,147,134

Total Potential Reach

67

Median Follower Reach

197

75th Percentile Reach

5.5%

>1K followers

0.8%

>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).

71.5%

Creators

31,536 accounts

16.5%

Consumers

7,284 accounts

12.0%

Dormant

5,302 accounts

472

Verified Followers

1.07% of total

9.9%

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):

India (1,960) Mumbai, India (1,059) Bengaluru, India (900) New Delhi, India (758) Mumbai (628) Chennai, India (563) Hyderabad, India (491) Pune, India (413) Bangalore (392) Chennai (297)

472

Verified Followers

1.07% of total

3,799

Protected Accounts

8.61% 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 14,105,737 Wrestler Wrestling, Motivation, Self-promotion
@thetanmay 6,695,848 Comedian Comedy, YouTube, Entrepreneurship
@DaleSteyn62 3,472,557 Cricketer Cricket, Dogs, Family
@hankypanty 2,503,217 Comedian Comedy, Jokes, Videos
@GabbbarSingh 1,455,466 Entrepreneur Entrepreneurship, Marketing, Business
@SinghLions 1,335,654 Restaurateur Food, Travel, Influencer
@durjoydatta 1,023,910 Author Novelist, Screenwriter, Writing
@Haqeeqat_TV 875,336 Media Personality Pakistan, YouTube, News
@reena_hotty 706,916 Model Fashion, Travel, Food
@saurabhtop 546,906 Editor Family, News, Journalism

Top Keywords in Follower Bios

cricket (5,212) sports (1,812) indian (1,209) lover (1,181) love (1,178) life (1,128) engineer (1,023) enthusiast (987) proud (880) personal (764)

Top Hashtags in Follower Bios

#cricket (121) #mufc (51) #csk (40) #rcb (31) #ggmu (28) #sports (27) #ynwa (25) #medtwitter (24) #teamindia (22) #crickettwitter (22)

29,735

Followers With Bio

14,387

Followers Without Bio

67.39%

% With Bio

32.61%

% 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 599 analyzed

35,422

Combined Engagement

12,948

Total Likes

22,474

Total Retweets

7,084

Avg per Tweet

Key Metrics for Viral Tweets

40%

With Media

0%

With Hashtags

40%

With @Mentions

40%

With Links

Topical Analysis:

Cricket Storytelling Documentary Research Digital Media Cricket History Player Milestones Sports Analysis

Key Insights & Takeaways

The user frequently shares detailed threads about cricket players and events, indicating a passion for storytelling and analysis. They highlight key moments and milestones, such as player anniversaries and career endings, which resonate with fans. The content often blends personal insights with broader cricket narratives, appealing to both casual and dedicated followers.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 45,047
  • + 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 @RandomCricketP1 reveals an well-established Twitter presence with 45,047 followers. The account demonstrates a conversation-first approach, averaging 186.2 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: 12月 16, 2025