DocumentCode :
3151722
Title :
Evaluating performance of Blackcaps of New Zealand vs. global cricket teams
Author :
Khan, Rizwan Khlaiq ; Manarvi, Irfan ; Mohay-ud-din
Author_Institution :
Iqra Univ., Islamabad, Pakistan
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
1500
Lastpage :
1504
Abstract :
Stardom of the cricket team´s has towered insight and interaction in the eye of their spectators or detests. Popularity of performer becomes an influential source for blue chip companies. Through endorsement they advertise their brands due to player unique enthusiastic styles that shed light to capture the attention towards their style & usage. Blackcap of New Zealand performance in various ODI, champion trophies, has cost billions of dollars worth effort behind match´s outcome. A huge sum of data for variables such as home ground performance, inevitable environment of non resident countries, future expectation, ratio´s, win & lose, played matches ratio, decade wise & year wise goal´s has been collected in sports databases over a period of time. The team has played international trophies match since 1972. Spectators of black caps may always be inquisitive to find reasons of its success. This research is focused on statistical analysis of above variables data. Its findings could enable us to see how the blackcaps played with high success rate as compared to its rivals. Primarily decade wise data collection has been done to assess the team´s best & worst performance in home ground & external pitch of cricket. These results also showed characteristics of black caps against its opponents in world champion Trophies from 1975. The same methodology could be used to assess the performance of other cricket teams around the world through data mining.
Keywords :
data mining; performance evaluation; sport; New Zealand cricket team; blackcaps performance evaluation; blue chip companies; champion trophies; data mining; global cricket teams; sports databases; Costs; Data mining; Databases; Economic indicators; Floods; Optimal control; Statistical analysis; Testing; Blackcaps; Future Expectations; International Cricket; Performance Evaluation; sports data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location :
Troyes
Print_ISBN :
978-1-4244-4135-8
Electronic_ISBN :
978-1-4244-4136-5
Type :
conf
DOI :
10.1109/ICCIE.2009.5223671
Filename :
5223671
Link To Document :
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