Abstract
Twenty20 cricket and batting in particular have remained vastly understudied to date. To elucidate the effects of batting on the batter, tools which replicate match play in controlled environments are essential. This study describes the development of two Twenty20 batting simulations, for a high and low strike rate innings, generated from retrospective analysis of international and domestic competition. Per delivery analysis of probabilities of run-type and on/off-strike denomination produce ball-by-ball simulations most congruent with retrospective competitive innings. Furthermore, both simulations are matched for duration and dictated through audio files. The `high' strike rate innings requires a batter to score 88 runs from 51 deliveries, whereby 60 runs are from boundaries. Similarly, the `low' strike rate innings requires a batter to score 61 runs from 51 deliveries, where 27 runs are scored from boundaries. Because batting simulations dictate run scoring outcomes, a method of quantifying a batter's performance from bat-ball contact scores is described. Ten elite batters achieved a mean performance score of 72 (SD = 26) and 88 (21) for the low and high strike rate simulations respectively. This study provides sport practitioners with a training technique to improve specific skill acquisition and enables research in understudied Twenty20 batting.
Highlights
Batting in the sport of cricket is an interceptive task which creates a combination of physical (Johnstone & Ford, 2010; Pote & Christie, 2016) and cognitive stress (Goble & Christie, 2017)
The availability of reliable match data in cricket enables the development of detailed batting simulations which may be invaluable tools in practice programmes and research investigating the physiology of a batter
This study aimed to develop two Twenty20 batting simulations which mimic the demands of competitive match play
Summary
Batting in the sport of cricket is an interceptive task which creates a combination of physical (Johnstone & Ford, 2010; Pote & Christie, 2016) and cognitive stress (Goble & Christie, 2017). A batter and batting partner will attempt to accumulate runs, while trying to avoid being dismissed. A batter’s innings may be prolonged resulting in fatigue (Christie, Todd, & King, 2008; Johnstone & Ford, 2010) which may adversely affect batting performance. Research has suggested traditional net-practice may be inadequate to replicate the demands of an innings produced in competitive match-play (Goble & Christie, 2017; Vickery et al, 2018) and batters may not experience batting under appropriate fatigue, which may limit the effectiveness of training. The availability of reliable match data in cricket enables the development of detailed batting simulations which may be invaluable tools in practice programmes and research investigating the physiology of a batter
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