# GooglyPlusPlus2021 interactively ranks T20 batsmen and bowlers!!!

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Every time I think that I have my R packages or Shiny apps all wrapped up, I find another idea trots up and knocks at my door. Since I intend to keep GooglyPlusPlus current with the latest data, I decided to include the ranking functions in my Shiny app GooglyPlusPlus.

Fortunately, since GooglyPlusPlus is based on my R package ‘yorkr‘ (see Introducing cricket package yorkr: Beaten by sheer pace!), I could make the necessary changes to the ranking functions in the package, so that it could be incorporated into my latest Shiny app GooglyPlusPlus2021!! To know how to use GooglyPlusPlus see my post Introducing GooglyPlusPlus

**Note**: GooglyPlusPlus can analyze batsmen, bowlers, matches and teams.

Take GooglyPlusPlus2021 for a test drive!!!

You can clone/fork GooglyPlusPlus2021 from Github

Here are a few scenarios from GooglyPlusPlus2021

**A) Ranking batsmen**

**Ranking IPL batsmen (minMatches = 80)** – The following table shows the ranking of IPL players who have played 80 matches or more

**B) Identifying batsmen of potential and promise**

**Ranking IPL batsmen (minMatches =70)** – If we reduce the minimum number of matches played to 70, then we see it pushes up KL Rahul above Kohli.

**Ranking IPL batsmen (minMatches =60) – **When the slider is moved to 60, we see that Rishabh Pant has a better mean average and mean strike rate and is also ranked above Kohli. We can identify promising players this way. However, it is also likely that some players may be just a bright flash in the pan

### C) Ranking T20 bowlers (men)

### D) Ranking NTB Batsmen

GooglyPlusPlus2021 can rank all T20 formats (IPL, BBL, Intl. T20 (men), Intl. T20 (women), NTB, PSL and WBB. Do give it a try!

Also remember that GooglyPlusPlus2021 includes close to 100+ functions which enable it to perform analysis of batsmen, bowlers, T20 matches, head-to-head confrontation of T20 teams and overall performance of T20 teams . To know more about GooglyPlusPlus2021 see Introducing GooglyPlusPlus

You can download the code for this app from Github at GooglyPlusPlus2021

Do give GooglyPlusPlus2021 a spin!!

I do have some other ideas also which I will be incorporating into GooglyPlusPlus2021.

Watch this space!!

Also see

1. Deep Learning from first principles in Python, R and Octave – Part 7

2. A method to crowd source pothole marking on (Indian) roads

3. Big Data 7: yorkr waltzes with Apache NiFi

4. Understanding Neural Style Transfer with Tensorflow and Keras

5. Revisiting World Bank data analysis with WDI and gVisMotionChart

6. Natural language processing: What would Shakespeare say?

7. Introducing QCSimulator: A 5-qubit quantum computing simulator in R

8. Introducing cricpy:A python package to analyze performances of cricketers

9. Simulating an Edge Shape in Android

To see all posts click Index of posts

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