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      Identifying Basketball Performance Indicators in Regular Season and Playoff Games

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          Abstract

          The aim of the present study was to identify basketball game performance indicators which best discriminate winners and losers in regular season and playoffs. The sample used was composed by 323 games of ACB Spanish Basketball League from the regular season (n=306) and from the playoffs (n=17). A previous cluster analysis allowed splitting the sample in balanced (equal or below 12 points), unbalanced (between 13 and 28 points) and very unbalanced games (above 28 points). A discriminant analysis was used to identify the performance indicators either in regular season and playoff games. In regular season games, the winning teams dominated in assists, defensive rebounds, successful 2 and 3-point field-goals. However, in playoff games the winning teams’ superiority was only in defensive rebounding. In practical applications, these results may help the coaches to accurately design training programs to reflect the importance of having different offensive set plays and also have specific conditioning programs to prepare for defensive rebounding.

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          Neural Networks for Pattern Recognition

          Christopher M Bishop (1995)
          This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the important topics of data processing, feature extraction, and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.
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            Differences between winning and defeated top quality basketball teams in final tournaments of European club championship.

            D Dizdar, E Luksić, S Trninić (2002)
            The goal of this research was to identify parameters among the 12 indicators of situation-related efficiency that differentiated between the winning and defeated top quality teams which played in final tournaments of the European club championships from 1992 to 2000. The differences were confirmed by discriminant analysis, although the canonical correlation was here somewhat lower than in the previous similar research studies done on the so-called regular season games. The probable reason for the smaller differences obtained in the present study may be found in almost equal (high) quality of the teams competing in Final Fours. The highest discriminative power was obtained in the variable defensive rebounds, then in the variables field goal percentage and free throw percentage, whereas the variable assist had evidently smaller impact with regard to the referent studies. The obtained results suggested that the winning teams showed more of tactical discipline and responsibility in controlling inside positions for defensive rebounds, as well as in controlling play on offense and the ball until the required open shot chance, which considerably reduced game risks and resulted in a lower number of turnovers and in a higher shooting percentage. Such a type of decision-making in play require a high degree of reciprocal help of players on both defense and offense and a higher level of concentration and self-confidence when shooting field goals and free throws. The common denominator of the winning teams was a lower number of imbalanced states in their play (the organized style of play on defense and offense implied) and a higher level of collective outplaying the opponents with the controlled system of play, which enabled entire potential of the victorious teams to be expressed.
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              Statistical analyses of basketball team performance: understanding teams’ wins and losses according to a different index of ball possessions

              Jaime Sampaio, Manuel Janeira (2017)
              Article 0 comments Cited 22 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): J Hum Kinet
                Journal ID (iso-abbrev): J Hum Kinet
                Journal ID (publisher-id): JHK
                Title: Journal of Human Kinetics
                Publisher: Akademia Wychowania Fizycznego w Katowicach
                ISSN (Print): 1640-5544
                ISSN (Electronic): 1899-7562
                Publication date Collection: March 2013
                Publication date (Electronic): 28 March 2013
                Volume: 36
                Pages: 161-168
                Affiliations
                [1 ]University of Extremadura, Faculty of Sports Sciences, Cáceres, Spain.
                [2 ]University of the Basque Country (UPV/EHU), Department of Physical Education and Sport, Vitoria–Gasteiz, Spain.
                [3 ]Research Center in Sports Sciences, Health Sciences, and Human Development (CIDESD).
                Author notes

                Authors submitted their contribution of the article to the editorial board.

                Corresponding author: Javier Garcia-Rubio, Faculty of Sports Sciences, University of Extremadura, Avd. de la Universidad s/n, 10071 Cáceres, Spain, Phone: +34 927 257 465 (57692), Fax: + 34 927 25 74 61, E-mail: jagaru@ 123456unex.es
                Article
                Publisher ID: jhk-36-161
                DOI: 10.2478/hukin-2013-0016
                PMC ID: 3661887
                PubMed ID: 23717365
                SO-VID: b3e3f25f-a911-425b-a3ee-a84ddf66f919
                Copyright © © Editorial Committee of Journal of Human Kinetics
                License:

                This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                Date accepted : March 2013
                Categories
                Subject: Research Article
                Subject: Section III – Sports Training

                Keywords: performance analysis,game-indicators,win/lose,basketball
                Data availability:
                Keywords: performance analysis, game-indicators, win/lose, basketball

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