摘要：Problem Statement: Triple Jump (TJ) is one of the horizontal jumping events of athletics and the training plan is considered to be indispensable for achieving targeted performance in TJ, as in other athletic events. If the annual plans are determined according to the requirements specific to the sports event; high-efficiency levels can be reached by athletes. Examining a competition season of the elite athletes ranked in the top 100 of the worlds and creating prediction models of the season's best and season average performances based on the average of the first two performances (AF2P) will help trainers and training scientists to plan a competition period. For this reason, the current study aimed to determine the variables of elite athletes' competition seasons in TJ events and to constitute estimation models of SB and season average performance based on AF2P. Methods. The research group consisted of male and female elite athletes ranked in the top 100 in TJ during the 2018 season. Participants’ competition information was reached from the 2018 world rankings published on the International Athletic Federation’s (IAAF) official web page. The age of the athletes, the total number of days in the season, the number of competitions, the season's best score (SB) according to the season average, the percentages of the initial and end scores were calculated. General characteristics of the participants were presented as means and standard deviations (±SD). Pearson correlation coefficients (r) were used to express the relationships between parameters. Quadratic equations were used to find coefficients of determination (r2 ) for the relationships. Statistical significance was set at p<0.05. Results. A statistically significant, positive, and high correlation was found in female triple jumpers (r=0.80; p<0.001), and a moderate relationship was found for men TJ (r=0.71; p<0.001). There was a high positive correlation between season average and AF2P for both female and male athletes (r=0.88; p<0.001; r=0.80; p<0.001; respectively). When the relationship between AF2P and season-end performance was examined, it was calculated that there was a moderate level relationship for female jumpers (r=0.62; p<0.001) and weak relationships for male (r=0.41; p<0.001) triple jumpers. Conclusion. The prediction models based on the AF2P will be used to predict the best performance of the season and these equations can be considered as an early evaluation for the coaches to predict the whole season.
关键词：athletics;prediction equation;season best performance
