tvganesh / cricketanalyticsbook6thed

Cricket analytics with cricketr and cricpy: Analytics harmony with R and Python - 6th Edition

This is the sixth edition of the book 'Cricket analytics with cricketr and cricpy'. This book includes detailed analyses of cricket performances of top cricket players in the world, based on ESPN Cricinfo Statsguru, with 2 packages namely an R package 'cricketr' and a Python package 'cricpy'. These packages can be used for the analysis for Test, ODI and Twenty20 cricket. The book contains details on how to use the packages cricketr & cricpy for analysis of other players.

This latest edition also includes features for analysis of teams and for granular analysis of players. This functionality is included in both cricketr and cricpy.

Note:

Click 'Cricket analytics-6th Edition.pdf' and click on the download button on top right corner

CONTENTS

Introduction .................................................................................... 8

1. Cricket analytics with cricketr ............................................... 10
   1.1. Introducing cricketr! : An R package to analyze performances of cricketers .................. 11
   1.2. Taking cricketr for a spin – Part 1 ................................. 49
   1.2. cricketr digs the Ashes! ................................................. 70
   1.3. cricketr plays the ODIs! ................................................. 98
   1.4. cricketr adapts to the Twenty20 International! ............ 140
   1.5. Sixer – R package cricketr’s new Shiny avatar ........... 169
   1.6. Re-introducing cricketr! : An R package to analyze performances of cricketers ..................... 179
   1.7. cricketr sizes up legendary All-rounders of yesteryear ... 234
   1.8. cricketr flexes new muscles: The final analysis .......... 278
   1.9. The Clash of the Titans in Test and ODI cricket ......... 301
   1.10. Analyzing performances of cricketers using cricketr template ..................................... 339
   1.11. Cricketr adds team analytics to its repertoire!!! ...... 353
   3 ODI ....................................................................................... 362
   1.12. Cricketr learns new tricks : Performs fine-grained analysis of players .......................... 374
   
2. Cricket analytics with cricpy ............................................... 403
   2.1 Introducing cricpy:A python package to analyze performances of cricketers ......................... 404
   2.2 Cricpy takes a swing at the ODIs ................................ 455
   Analysis of Top 4 batsman ...................................................... 498
   2.3 Cricpy takes guard for the Twenty20s ......................... 499
   2.4 Analyzing batsmen and bowlers with cricpy template 540
   
3. Average runs against different opposing teams ................... 543
   2.5 Cricpy adds team analytics to its arsenal!! .................. 551
   2.6 Cricpy performs granular analysis of players .............. 573
   
4. Cricketr analyzes Ind-Aus faceoff in WTC 2023!! ............. 599
   
5. Other topics of cricket in R ................................................ 721
   4.1 Analyzing cricket’s batting legends – Through the mirage with R ............................. 721
   4.2 Mirror, mirror … the best batsman of them all? ......... 747
   
6. Appendix ............................................................................. 761
   
7. Cricket analysis with Machine Learning using Octave ....... 761
   Cricket analytics with cricketr and cricpy
   v 6.1 Informed choices through Machine Learning – Analyzing Kohli, Tendulkar and Dravid ............ 762
   6.2 Informed choices through Machine Learning-2 Pitting together Kumble, Kapil, Chandra........... 775
   6.3 Essential R ................................................................... 789
   6.4 Essential Python for Datascience ................................ 846
   6.5 R vs Python ................................................................. 875
   Further reading ............................................................................ 898
   Important Links ........................................................................... 899