%A Sun,Lixin %A Guo,Tianxiao %A Liu,Fei %A Tao,Kuan %D 2022 %J Frontiers in Psychology %C %F %G English %K Speed Skating,Short track,geographical race factors,RACE analysis,performance Highlights • %Q %R 10.3389/fpsyg.2022.854909 %W %L %M %P %7 %8 2022-May-27 %9 Original Research %# %! Performance time analysis via race factors %* %< %T How Ice Rink Locations Affect Performance Time in Short-Track Speed Skating %U https://www.frontiersin.org/articles/10.3389/fpsyg.2022.854909 %V 13 %0 JOURNAL ARTICLE %@ 1664-1078 %X PurposeTo accurately provide evaluations on how match performance for elite skaters in short track speed skating developed, and whether geographical factors of ice rink locations should be considered apart from technical abilities. We created a dataset containing competition records from the 2013–14 to 2020–21 seasons (500 m event) on the official website.MethodsOne-way ANOVA was applied to statistically analyze whether the best performance times exhibited significant differences in varied hosting cities. Performance–time matrix and multivariate regression model were further established to quantitatively explain how geographical factors (longitude, latitude, altitude, and barometric pressure) affected performance.ResultsOur findings firstly confirmed that the fastest 500 m finishing times varied due to the hosting cities (P = 0.008) and showed that venue locations could boost or impair performance time with the maximum range of 3.6 s. Meanwhile, latitude (slightly over 46° when performance is maximized) was the most influential factor to account for the performance–time difference in different ice rink locations according to the multivariate regression model, though altitude (1,225 meters when performance is maximized) was also important.ConclusionsIn this perspective, elite skaters should check the geographical factors of the venues before they participated in the upcoming competitions, assess the real strength of their rivals, and adopt flexible tactics during training sessions.