Performance AnalysisCO 303 Ana lysis k Cycling Trac e cli ng Rac Track Cy 200m Sprint Tiago Encarnação 120090
IntroductionTrack Cycling•Indoor bicycle race are held on a banked track – called a velodrome.(VIDEO)•The velodrome has normally 250m length.•The main differences for road cycling are: different bicycle, equipment and safety rules.•Track cycling has been around since 1870, and the main purpose was a easy assess to thespectators, making the races profitable.•Track cycling races are divided into endurance races and sprint races.
200m Sprint•This is an event consisted of cyclists making three laps around the track.•Only the time for the last 200 metres of the 750 metres covered is counted as official time.•Each race is competed by two cyclists - each round is best of 3 races. (VIDEO)Rationale•Currently in 200m track cycling sprint there is not any data which provides an answer aboutthe tactics or performance analysis.•Other studies!!!•Through the analysis of 21 track sprint races, the aim of this study is to find proper data thatwould provide to coaches and cyclists different ways to success depending on race situations.
Methods (VIDEO)Footage•In this study, 21 international races (both World championships and world cup’s from 2010 and2011) were analyzed.•The footage provides a clear view from the entire race, as well the last 200m meters times andwinners.Measures•In this study were analyzed 7 parameters such as:1) Starting Position 2) Last Corner Leading 3) Best Last 200m 4) Overall Winner5) Sprint start 6) Distance of sprint 7) Higher percentage of time leading
Procedures•Trough the video analyse, an excel document was made with the 7 different parameters.•As the races were analysed, the document was fill with the information.•After collecting all the data, the information was then analysed in SPSS statistics softwareprogram.Data Analysis•For the analysis performance of this study, was used aChi Square non parametric test, for each one of the parameters.•After the SPSS analysis, was made percentage graphics to abetter understanding
Results1) Starting Position 8 13 Result > 0,05, no statistical differences between the variables
2) Last Corner Leading 8 13 Result > 0,05, no statistical differences between the variables
3) Best Last 200m 8 13 Result > 0,05, no statistical differences between the variables
4) Overall Winner 4 7 (Variable “Yes” - N=4) Was not possible to run Chi Square
5) Sprint Start 7 14 Result > 0,05, no statistical differences between the variables
6) Distance of Sprint 0 1 8 10 1 1 Like in some variables, the N were 0 or 1, were not possible to run Chi Square
7) Higer Percentage of Time Leading 10 11 Result > 0,05, no statistical differences between the variables
DiscussionIndications for performanceFrom the results shown above we could conclude that statistically there were no differencesbetween the variables. However, in a practical point of view, with the result of this study wecan draw the following conclusions:1.Start position influences the result;1.Start2.Last corner leading is a major step to win the leg;2.Last3.Who has the best last 200m has the victory almost guaranteed;3.Who4. Winning the first leg not guarantee round victory;5.Who tart the sprint does not always win5.Who6.Higher percentage of time leading not ensure a winning leg6.Higher