Intelligent Prediction of Soccer Technical Skill on Youth Soccer Player’s Relative Performance Using Multivariate Analysis and Artificial Neural Network Techniques

Abstract

This study aims to predict the potential pattern of soccer technical skill on Malaysia youth soccer players relative performance using multivariate analysis and artificial neural network techniques. 184 male youth soccer players were recruited in Malaysia soccer academy (average age = 15.2±2.0) underwent to, physical fitness test, anthropometric, maturity, motivation and the level of skill related soccer. Unsupervised pattern recognition of principal component analysis (PCA) was used to identify the most significant parameters in soccer for the current study and intelligent prediction of artificial neural network (ANN) was developed to determine its predictive ability for the soccer relative performance index (SRPI). The PCA has indicated sit up, agility, 5m speed, 10m speed, 20m speed, weight, height, sitting height, bicep, tricep, subscapular, suprailiac, calf circumference, maturity, task, ego, short pass, shooting right top corner and shooting left top corner are the most significant parameters in soccer. Meanwhile, the PCA-ANN showed better predictive ability in the determination of SRPI with fewer parameters such as R 2 and root mean square error (RMSE) values of 0.922 and 0.190, respectively. The current study indicated that only a few parameters are needed to improve and enhanced the performance of novice group. Nevertheless, the prediction method techniques for the present study show very high and strong ability in prediction of the player's performance. It has highlighted the possibility of defining the optimum number of parameters for the player's relative performance evaluation, which in turn will reduce the costs, energy and time of the measurement.

Identification and Comparative Analysis of Essential Performance Indicators in Two Levels of Soccer Expertise

“…The VFs for novice players indicated physical characteristics, body composition, endurance, motivation, basic skills, motor skills and technical skills as most needful. Our discoveries proposed that investigation of variables that are essential in the performance of soccer [49] in connection with the level of expertise of the players might be of help to the coaches, team managers and other stakeholders in assessing the impacts of a particular preparatory program. It might likewise be useful to the trainers in focusing on essential performance indicators in the game which can save time, energy and cost.…”

“…Joint flexibility is an important factor in the performance of skills and especially in injury prevention. Professional players with greater muscle strength and lower limbs were the most regular participants of a first team representative squad over the whole season [41]. Similarly, irregularity in muscle strength, both between the left and right legs and between the leg flexors and leg extensor muscles were factors influencing injury among professional players [42].…”

Sensitivity pattern recognition and variableness of competitive adolescent soccer relative performance indicators

“…This motivational questionnaire comprises of 13 items with two concept which measure the athlete's orientation whether it is ego-oriented or task-oriented in sports involvement. The questionnaire was transformed into Malay Language using back-translation technique, and it is proficient and in addition discovered exceptional reliability in the sports aspect [23]. The determination subscale of the internal consistency with Cronbach alpha analysis.…”

Construction of Healthy and Palatable Diet for Low Socioeconomic Female Adults using Linear Programming

“…In addition, poor dietary [22], [23] intake may be improved using this model where it follows the MDG, RNI and palatability constraints to meet the nutritional requirements.…”