You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network

02/03/2021
by   Will Gürpınar-Morgan, et al.
13

The ability to predict what shot a batsman will attempt given the type of ball and match situation is both one of the most challenging and strategically important tasks in cricket. The goal of the batsman is to score as many runs without being dismissed, whilst for bowlers their goal is to stem the flow of runs and ideally to dismiss their opponent. Getting the best batsman vs bowler match-up is of paramount importance. For example, for the fielding team, the choice of bowler against the opposition star batsman could be the key difference between winning or losing. Therefore, the ability to have a predefined playbook (as in the NFL) which would allow a team to predict how best to set their fielders given the context of the game, the batsman they are bowling to and bowlers at their disposal would give them a significant strategic advantage. To this end, we present a personalized deep neural network approach which can predict the probabilities of where a specific batsman will hit a specific bowler and bowl type, in a specific game-scenario. We demonstrate how our personalized predictions provide vital information to inform the decision-making of coaches and captains, both in terms of pre-match and in-game tactical choices, using the 2019 World Cup final between England and New Zealand as a case study example.

READ FULL TEXT

page 6

page 10

page 12

page 13

page 15

page 18

page 19

page 20

03/23/2020

Optimising Game Tactics for Football

In this paper we present a novel approach to optimise tactical and strat...
11/04/2020

Analysing Long Short Term Memory Models for Cricket Match Outcome Prediction

As the technology advances, an ample amount of data is collected in spor...
01/06/2021

A Probabilistic Model for Predicting Shot Success in Football

Football forecasting models traditionally rate teams on past match resul...
07/17/2020

Time to Die: Death Prediction in Dota 2 using Deep Learning

Esports have become major international sports with hundreds of millions...
09/14/2021

Towards optimized actions in critical situations of soccer games with deep reinforcement learning

Soccer is a sparse rewarding game: any smart or careless action in criti...
09/30/2019

A Dynamic Strategy Coach for Effective Negotiation

Negotiation is a complex activity involving strategic reasoning, persuas...