Setting final target score in T-20 cricket match by the team batting first

Abstract

The purpose of this paper is to develop a deterministic model for setting the target in T-20 Cricket by the team batting first. Mathematical tools were used in model development. Recursive function and secondary data statistics of T-20 cash rich cricket tournament Indian Premier League (IPL) such as runs scored in different stages, fall wickets in different stages, and type of pitch are used in developing the model. This model was tested at 120 matches held IPL 2016 and 2017. This model had been proved effective by comparing with the models developed earlier. This model can be a useful tool to the stakeholders like coach and captain of the team for adopting better strategy at any stage of the match. For future research, this model can be useful in framing a regulation work by policy makers at both national and international cricket board by deriving the target score during interruptions. 4 5 6 7 8 9 10 11

Effect of physical and physiological parameters on the performance of sub-elite Indian upper order batsmen in T20 matches: a pilot study

“…Most teams, hence, prefer to leverage the experience they get from their opponents' first innings while batting second. 11 A positive significant link has been found between individual score and running between the wickets, indicating that frequent running between the wickets (singles and doubles) generated a high individual score. The strike rate shows no significant relationship with any physiological reactions, while the modified strike rate has a negative significant link with the low/high movement ratio.…”

“…According to Siddiqui & Humphrey, 5 T20 cricket is a fast-paced game, so it is popular with viewers. Many studies have been undertaken over the last decade to explore morphological characteristics, 6 fitness needs, 7 physiological demands, 8 movement patterns, 9 performance indicating factors, 10 and match outcome prediction in cricket, 11 and they have discovered a vast variation in those components depending on match formats.…”

Calculating expected win percentage of an Indian Premier League team

“…In comparison, the team that bats second knows what it must accomplish to win the match. Modekurti 25 developed a deterministic model that determines an appropriate target for the team batting first to estimate what level of offensive production will likely win the match. This model provides a similar target to the target a team batting second has.…”