000			01881nam a22001577a 4500
999			_c528264 _d528264
008			241125b ||||| |||| 00| 0 eng d
100			_aNagpal, Ankita et al _959609
245			_aDo home ground and toss win make cricket an unfair game? An empirical study from the first fifteen years of Indian premier league
260			_aIndian Institute of Foreign Trade
300			_a26(2), Apr-Jun, 2024: p.86-102
520			_aCricket is the most popular and most-watched game in India. However, the fairness of the game has been questioned many times in the past, on account of the possible advantage of home-ground and toss wins. Therefore, this research study aims to examine the influence of home ground and toss wins on the outcome of Indian Premier League matches over the first fifteen years of the IPL. The chi-square test of association suggests that these effects are statistically significant at a 90 percent confidence level for a few of the matches only, but not for others at the individual match level. However, at the aggregate level, a positive effect has been found by the logistic regression model that was used to predict the probability of winning for any team. The logistic regression model was developed to predict the match outcome based on these variables taken at an aggregate level for the three most prominent IPL teams using logistic regression, since there are other variables that can influence the performance, such as bowling performance, batting performance, etc. The study also mentions the implications of the findings for game players, sponsors, patrons, regulators, etc. – Reproduced https://publication.iift.ac.in/Articles/268.pdf
650			_aLogistic regression, Home ground, Toss win, Predictive analytics, Cricket, Indian Premier League. _949057
773			_aIndian Institute of Foreign Trade
906			_aSPORTS
942			_cAR