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Tennis match performance prediction applied research based on normalization grey model

Author(s): Liang Li, Xiaohua Shi

Tennis challenges athlete’s endurance and physical quality, make correct prediction on performance can make good evaluation on a tennis player’s individual development. The paper makes prediction on tennis player’s sporting performance, firstly establishes normalizationmodel, uses data to express turn-based tennis performance; secondly establishes grey model, and makes prediction on data after normalization. To tennis match, the paper defines first round elimination as 1, second round elimination as 2, the third round elimination as 3, final sixteen as 4, the final eight as 5, top four as 6, finals as 7, champion as 8, it gets participating performance average coefficient, and combines with established data to make comparative prediction on tennis performance, it defines feasibility of grey prediction performance

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