DiscoverStrike Rate: The Cricket Analytics PodcastHow Phases Impact T20 Batting Stats - Runs Above Average - And Other Advanced Batting Stats
How Phases Impact T20 Batting Stats - Runs Above Average - And Other Advanced Batting Stats

How Phases Impact T20 Batting Stats - Runs Above Average - And Other Advanced Batting Stats

Update: 2024-03-12
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On this episode of Strike Rate: The Cricket Analytics Podcast we talk about how phase data has an impact on T20 batting stats. The discussion focusses on the powerplay, middle over and death periods of the game, and we get into how different batters should be valued differently depending on which phase they predominantly operate in. Again we use real world data to analyse how this works, with case studies including Rizwan and KL Rahul.

Then in parts 2 and 3 we get to your questions. These were wide ranging with us covering advanced stats such as: wins above replacement, runs above average, expected bowling average and other ways of modelling performance. Which of these exist, which of these would be possible to model and how do teams use these in practice?

Once again thanks to all our listeners who submitted questions, if you want to ask something for the next show you can find our social details below:

Find Dan on Twitter at: twitter.com/SAAdvantage

Find Jack on Twitter at: twitter.com/JackHope0

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How Phases Impact T20 Batting Stats - Runs Above Average - And Other Advanced Batting Stats

How Phases Impact T20 Batting Stats - Runs Above Average - And Other Advanced Batting Stats

The Cricket Podcast