Sanaa Hazratjee joins Cricktake to pull back the curtain on the sacrifices behind professional cricket. While USA national team batter Shayan Jahangir spends 40 to 45 weeks a year competing across the globe, Sanaa anchors the home front - raising their daughter Dahlia, advancing her career as a family law paralegal, and navigating life as an associate "cricket widow".

From $200 weekend games and managing fast-food stores to surreal tournament awards, 10-hour home visits, viral World Cup backlash, and franchise league realities, this conversation explores the resilience required to support an international athlete while protecting your own identity.

00:00 - Intro

01:04 - Who is Sanaa?

06:26 - Meeting Shayan

12:20 - Early Associate Grind

24:11 - The "Cricket Widow"

29:08 - Solo Parenting & Dahlia

38:59 - De Facto Coach & Franchise Life

48:27 - Viral Backlash & Trolling

53:41 - Advice for Athletes' Spouses

🎧 Listen, Read, Follow: https://ecosystem.cricktake.com/

Available on Spotify, Apple Podcasts, Amazon Music, Instagram, TikTok, Substack & Medium.

#usacricket #ShayanJahangir #cricketpodcast #seattleorcas #minewyork #hyderabadkingsmen #mlc #CricketWidow #psl #cricktake

Can data models predict the World Test Championship, and will algorithms eventually replace on-field captaincy instinct?

In Part 2 of our deep dive on Cricktake, data analyst and entrepreneur Soumajit Chail shares break down of his real-world cricket analytics projects - from building WTC dynamic race bar charts and simulation models to optimizing IPL match scheduling and broadcast revenue using Excel solvers.

We also debate the clash between data-informed and data-driven captaincy, the commercial reality of league cricket, and why too much data can lead to dangerous "analysis paralysis" for international players under extreme pressure.

Special Guest:

Soumajit Chail – Data Analyst & Entrepreneur

LinkedIn: https://www.linkedin.com/in/soumajitchail/

WTC Simulation & Race Bar Chart:

https://lnkd.in/p/g2naTQ7a

https://lnkd.in/dpCzCafP

IPL Schedule Optimization Model:

https://lnkd.in/p/gwAS7ExR

https://lnkd.in/g5WuvBsX

Watch Part 1 (The Roadmap & Fundamentals): https://www.youtube.com/watch?v=AGxUjF92YR4&t=1s

00:00 - Introduction & Recap

00:57 - WTC Simulation & Race Bar Chart

06:17 - IPL Schedule Optimization Model

10:21 - Travel Fatigue & Multimodal Modeling

14:22 - League Cricket & Sports Economics

18:57 - Data-Informed vs Data-Driven Captains

22:16 - Will AI Replace Cricket Captains?

30:34 - Analysis Paralysis & Player Psychology

38:17 - Outro & Final Thoughts

🎧 Listen, Read, Follow: https://ecosystem.cricktake.com/

Available on Spotify, Apple Podcasts, Amazon Music, Instagram, TikTok, Substack & Medium.

#cricketanalytics #sportsanalytics #wtc #ipl #dataanalytics #cricktake #machinelearning #cricketpodcast #cricktake

How do IPL teams like RCB leverage data to win titles, and what does it actually take to break into sports analytics?

In Part 1 of this deep dive on Cricktake, we sit down with data analyst and entrepreneur Soumajit Chail to demystify the world of cricket analytics - from the four core branches of analytics to how artificial neural networks simulate on-field player matchups.

We break down real-world bowling tactics against AB de Villiers, the technical stack you need (Python, SQL, Power BI, SPSS), and an actionable step-by-step roadmap to land analyst roles in IPL franchises, tech providers, and global media houses.

Special Guest:

Soumajit Chail – Data Analyst & Entrepreneur

LinkedIn: https://www.linkedin.com/in/soumajitchail/

Timestamps:

00:00 - Introduction

01:38 - Meet Soumajit Chail

03:57 - What is Sports Analytics?

06:16 - The 4 Analytics Branches

13:35 - Neural Networks in Cricket

21:20 - Career Roadmap & Portfolio

25:37 - How to Land an Analyst Role

32:51 - Tech Stack & Must-Learn Tools

37:41 - Outro & Part 2 Preview

🎧 Listen, Read, Follow: https://ecosystem.cricktake.com/

Available on Spotify, Apple Podcasts, Amazon Music, Instagram, TikTok, Substack & Medium.

#cricketanalytics #sportsanalytics #ipl #dataanalytics #cricktake #python #machinelearning #careerinsports