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Rating Teams and Analysing Outcomes in One-Day and Test Cricket
- Source :
- Journal of the Royal Statistical Society Series A: Statistics in Society. 167:657-667
- Publication Year :
- 2004
- Publisher :
- Oxford University Press (OUP), 2004.
-
Abstract
- SummaryMultiple linear regression techniques are applied to determine the relative batting and bowling strengths and a common home advantage for teams playing both innings of international one-day cricket and the first innings of a test-match. It is established that in both forms of the game Australia and South Africa were rated substantially above the other teams. It is also shown that home teams generally enjoyed a significant advantage. Using the relative batting and bowling strengths of teams, together with parameters that are associated with common home advantage, winning the toss and the establishment of a first-innings lead, multinomial logistic regression techniques are applied to explore further how these factors critically affect outcomes of test-matches. It is established that in test cricket a team’s first-innings batting and bowling strength, first-innings lead, batting order and home advantage are strong predictors of a winning match outcome. Contrary to popular opinion, it is found that the team batting second in a test enjoys a significant advantage. Notably, the relative superiority of teams during the fourth innings of a test-match, but not the third innings, is a strong predictor of a winning outcome. There is no evidence to suggest that teams generally gained a winning advantage as a result of winning the toss.
- Subjects :
- Statistics and Probability
Economics and Econometrics
biology
Applied psychology
Affect (psychology)
biology.organism_classification
Logistic regression
Outcome (game theory)
Test (assessment)
Cricket
Econometrics
Home advantage
Popular opinion
Statistics, Probability and Uncertainty
Psychology
Social Sciences (miscellaneous)
Multinomial logistic regression
Subjects
Details
- ISSN :
- 1467985X and 09641998
- Volume :
- 167
- Database :
- OpenAIRE
- Journal :
- Journal of the Royal Statistical Society Series A: Statistics in Society
- Accession number :
- edsair.doi...........0c9fd11f879f375d30052a056de6ff5c
- Full Text :
- https://doi.org/10.1111/j.1467-985x.2004.00505.x