Literature DB >> 34739718

Player Profiling and Monitoring in Basketball: A Delphi Study of the Most Important Non-Game Performance Indicators from the Perspective of Elite Athlete Coaches.

Michael Rogers1, Alyson J Crozier2, Natasha K Schranz2,3, Roger G Eston2, Grant R Tomkinson2,4.   

Abstract

BACKGROUND: Little is known about which indicators of performance elite athlete coaches (i.e., professional coaches who coach at the national or international levels) consider to be important for basketball.
OBJECTIVE: Using a Delphi procedure, the aim of this study was to identify the non-game performance indicators elite athlete coaches consider to be important for the recruitment/selection of basketball players.
METHODS: Ninety elite athlete coaches (basketball coaches (n = 71) and strength/conditioning coaches (n = 19) who coached men (n = 60), women (n = 23), or both (n = 7)), employed in 23 countries across six continents, participated in a three-round online Delphi survey. Round 1 asked coaches to identify the non-game performance indicators (i.e., measures other than game statistics) they currently used (or would like to use) for player recruitment/selection, with common indicators combined into single indicators. Round 2 asked coaches to rate the importance of each performance indicator using a Likert scale (range: 0 = no importance whatsoever to 10 = extremely important). Round 3 asked coaches to identify the single best test measure for each indicator rated ≥ 6 (i.e., important to extremely important) in Round 2. Results were reported descriptively.
RESULTS: A total of 608 responses (344 after removal of duplicates) were reported in Round 1, which were collapsed into 35 indicators, all of which were rated as 'important' in Round 2. Psychological and game intelligence indicators were typically rated as very important to extremely important (i.e., median = 9), with physical fitness and movement skills typically rated as very important (i.e., median = 8). For most indicators, coach observation was identified as the best test measure, with unique objective performance/anthropometric tests identified for all physical fitness indicators.
CONCLUSION: This study identified a range of psychological, game intelligence, physical fitness, and movement skill indicators that were considered by elite athlete coaches to be important to extremely important for the recruitment/selection of basketball players. These findings may inform the development of a basketball-specific test battery for recruiting/selecting and monitoring players.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Year:  2021        PMID: 34739718     DOI: 10.1007/s40279-021-01584-w

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  34 in total

Review 1.  Morphological evolution of athletes over the 20th century: causes and consequences.

Authors:  K Norton; T Olds
Journal:  Sports Med       Date:  2001       Impact factor: 11.136

Review 2.  The use of performance indicators in performance analysis.

Authors:  Mike D Hughes; Roger M Bartlett
Journal:  J Sports Sci       Date:  2002-10       Impact factor: 3.337

3.  Positional role and competitive-level differences in elite-level men's basketball players.

Authors:  Nidhal Ben Abdelkrim; Anis Chaouachi; Karim Chamari; Mokhtar Chtara; Carlo Castagna
Journal:  J Strength Cond Res       Date:  2010-05       Impact factor: 3.775

4.  Basketball Performance Is Related to Maturity and Relative Age in Elite Adolescent Players.

Authors:  Jon Torres-Unda; Idoia Zarrazquin; Leyre Gravina; Jaime Zubero; Jesús Seco; Susana M Gil; Javier Gil; Jon Irazusta
Journal:  J Strength Cond Res       Date:  2016-05       Impact factor: 3.775

5.  Non-Linear Approach in Kinesiology Should Be Preferred to the Linear--A Case of Basketball.

Authors:  Marko Trninić; Mario Jeličić; Vladan Papić
Journal:  Coll Antropol       Date:  2015-07

6.  Physiological testing of basketball players: toward a standard evaluation of anaerobic fitness.

Authors:  Anne Delextrat; Daniel Cohen
Journal:  J Strength Cond Res       Date:  2008-07       Impact factor: 3.775

7.  Coach knowledge in talent identification: A systematic review and meta-synthesis.

Authors:  Alexandra H Roberts; Daniel A Greenwood; Mandy Stanley; Clare Humberstone; Fiona Iredale; Annette Raynor
Journal:  J Sci Med Sport       Date:  2019-05-17       Impact factor: 4.319

8.  Predictive Validity of National Basketball Association Draft Combine on Future Performance.

Authors:  Masaru Teramoto; Chad L Cross; Randall H Rieger; Travis G Maak; Stuart E Willick
Journal:  J Strength Cond Res       Date:  2018-02       Impact factor: 3.775

9.  Anthropometric, physiological and maturational characteristics in selected elite and non-elite male adolescent basketball players.

Authors:  Jon Torres-Unda; Idoia Zarrazquin; Javier Gil; Fátima Ruiz; Amaia Irazusta; Maider Kortajarena; Jesus Seco; Jon Irazusta
Journal:  J Sports Sci       Date:  2012-10-09       Impact factor: 3.337

10.  What performance characteristics determine elite versus nonelite athletes in the same sport?

Authors:  Daniel S Lorenz; Michael P Reiman; B J Lehecka; Andrew Naylor
Journal:  Sports Health       Date:  2013-11       Impact factor: 3.843

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  1 in total

1.  Performance Differences in Male Youth Basketball Players According to Selection Status and Playing Position: An Evaluation of the Basketball Learning and Performance Assessment Instrument.

Authors:  David Rösch; Martin G Ströbele; Daniel Leyhr; Sergio J Ibáñez; Oliver Höner
Journal:  Front Psychol       Date:  2022-05-06
  1 in total

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