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      Pre-shot combinations and game-related statistics discriminating between winners and losers depending on the game location during the NBA COVID-19 season

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          Abstract

          Basketball in performance depends on numerous factors, where a stable trend was identified by winning teams with better performances in shooting effectiveness and rebounding. However, there is a need for a better understanding of pre-shot combinations that lead to these performance trends. This study aimed to analyze NBA teams’ game-related statistics, pre-shooting combinations, and pick-and-roll differences between winning and losing teams (considering the context: playing at home, away, or in a neutral court) during the COVID-19 season. A retrospective cross-sectional study on the 2019–2020 NBA season (906 games) was carried out. Game-related statistics were gathered from the private company InStat ( https://basketball.instatscout.com/). The discriminant analysis and binary logistic regression models were run in order to discriminate the most important features of winning teams depending on the game location. The results showed that defensive rebounds and three-point shooting percentage remained the most important variables that best discriminated winners and losers independently of the game location context. The main results showed that winning teams had a better shooting percentage based on three-pointers, catch-and-shot actions, cuts, pick-and-roll efficacy, and uncontested shots based on a better collective behavior after a successful space creation dynamic through a tactical functional unit. At the same time, teams would need players with the ability to clear those possessions in which the opponents force to an isolation or a contested shot. From a practical application perspective, coaches should focus on composing a team with good shooters, skilled players in isolations, and a good game-time pick-and-roll strategy.

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          Effect size estimates: current use, calculations, and interpretation.

          The Publication Manual of the American Psychological Association (American Psychological Association, 2001, American Psychological Association, 2010) calls for the reporting of effect sizes and their confidence intervals. Estimates of effect size are useful for determining the practical or theoretical importance of an effect, the relative contributions of factors, and the power of an analysis. We surveyed articles published in 2009 and 2010 in the Journal of Experimental Psychology: General, noting the statistical analyses reported and the associated reporting of effect size estimates. Effect sizes were reported for fewer than half of the analyses; no article reported a confidence interval for an effect size. The most often reported analysis was analysis of variance, and almost half of these reports were not accompanied by effect sizes. Partial η2 was the most commonly reported effect size estimate for analysis of variance. For t tests, 2/3 of the articles did not report an associated effect size estimate; Cohen's d was the most often reported. We provide a straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis.
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            Trends of tactical performance analysis in team sports: bridging the gap between research, training and competition.

            Performance in Team Sports is carried out through a long term and methodical training process planned to improve skills and competence required to deal with competitive demands. Despite that tactical constraint play a major role in Team Sports performance the history of its scientific analysis has been driven by physiological and biomechanical approach, paying little attention to the tactical behaviour of the players and team organisation. For coaches and researchers, tactical analyses can be helpful, since they offer the opportunity to identify match regularities and random features of game events. The information about performance is crucial to achieve individual and team efficacy, also because it constitutes a basic criterion for training process. Once tactical major features are identified, they can inform training and performance enhancement programs. Regardless the technological progress, the analysis of tactical performance in Team Sports remains an under-theorised field, since there was no significant amount of research undertaken to identify the most important factors underpinning performance. Thus, it seems relevant to find out concepts and methods allowing to assemble and to organise knowledge about game complexity and dynamic interaction properties of the teams. The main purpose of this paper is to point out that conceptual frame about tactical indicators in Team Sports should be a major orientation to bridge the gap between research, training and competition.
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              Basketball game-related statistics that discriminate between teams’ season-long success

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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1855637/overview
                URI : https://loop.frontiersin.org/people/584262/overview
                URI : https://loop.frontiersin.org/people/486802/overview
                URI : https://loop.frontiersin.org/people/1233487/overview
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                31 August 2022
                2022
                31 August 2022
                : 13
                : 949445
                Affiliations
                [ 1 ] Faculty of Sport Sciences , Universidad Europea de Madrid , Madrid, Spain
                [ 2 ] Facultad de Ciencias de la Actividad Física y del Deporte , Universidad Politécnica de Madrid , Madrid, Spain
                [ 3 ] Centre for Sport Studies , Fuenlabrada , Universidad Rey Juan Carlos , Madrid, Spain
                Author notes
                *Correspondence: Sergio L. Jiménez-Sáiz, sergio.jimenez.saiz@ 123456urjc.es
                [ † ]

                ORCID: Sergio L. Jiménez-Sáiz, orcid.org/0000-0002-5069-6099

                This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology

                Edited by: Jay R. Hoffman, Ariel University, Israel

                Reviewed by: Karol Gryko, Józef Piłsudski University of Physical Education in Warsaw, Poland

                António Paulo Ferreira, Universidade de Lisboa, Portugal

                Anton Kalén, University of Vigo, Spain

                Article
                949445
                10.3389/fphys.2022.949445
                9472127
                36117700
                fb31f3a5-75fe-4b5d-8593-c22261c72038
                Copyright © 2022 Bustamante-Sánchez, Gomez-Ruano, Clemente-Suárez and Jiménez-Sáiz.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 May 2022
                : 19 July 2022
                Categories
                Physiology
                Original Research

                Anatomy & Physiology
                basketball,pick-and-roll,ball screen,game-related statistics,pre-shot combinations

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