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The purpose of the study was to assess and compare the selected physical fitness and anthropometric variable among Gardolla and Konso New York male football clubs. Two sample national league football clubs in the southern zone were selected from Konso and dirasha wereda and to select 50 male football players from the total population of 60 players included as a subject from both clubs. Stratified random sampling technique was used to select the subjects according to the designed parameters. Quantitative data was used through the appropriate anthropometric test and physical fitness tests. Descriptive statistics was produced for each of the parameters. The results were presented as mean and standard deviation which shows the average results of each variable in both clubs. Independent T-tests was used to compare the results between the two clubs, To find out the significant difference in selected physical fitness variables, The results of this study showed that when comparing the average values obtained with the reference values provided by the normative data, Gardula are better than their Konso New York counterpart with normative data of harvard Step, 30 meter speed test, Illinois agility test, set and reach test and vertical jump test also, showed that statistically significant mean deference at the P < 0.05 on Harvard Step, 30 meter speed test, Illinois agility test, and vertical jump test. The bases of the findings of the study recommendations were drawn; it is useful to prepare training for both Konso New York and Gardula in the different age level of football players for improving their physical fitness and keeping them to maintain their performances. Therefor this is a need for the players to improve their physical fitness though specialized practice, through a well harnessed daily program. Also coaches need to study each player’s fitness level and movement mechanics in order to correct, where necessary, for better physical fitness and playing ability. Future research should needs to examine methods for increasing physical fitness levels among this population group and identify cut-points related to health outcomes for all fitness components |
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