Data Statistic and Analysis System of College Track and Field Games Based on Web

In order to solve the problems in managing and organizing track and field games, this paper develops a set of information management system for college track and field games. At first, this paper applies genetic algorithm to perform pre-competition grouping and track management for players to offer decision making service preparation of pre-track and field games. Performance management in competition and curve surrounding method are used to perform grouping, track management for semi-final competitors and provide decision making service for management during competition. Then, rough set method is used to perform statistics and analysis on various data after competition to obtain corresponding and understandable rules to offer competition managers decision service, so that management in track and field games is more reasonable, scientific and efficient to provide more reliable decision basis for sports education management.