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doi:10.7752/jpes.2015.02033

Cited by 3 publications

(4 citation statements)

References 14 publications

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“…Further, they outperformed non-selected players on this position with respect to shooting. The central role of the point guard in a basketball teams' attack has been confirmed for youth and senior basketball by in-depth analyses of passing sequences (Clemente et al, 2015;Korte and Lames, 2018). The results of the present study reflect this centrality as selected players are more involved in their teams' offensive game play.…”

Section: Diagnostic Validity (Objective 2)supporting

confidence: 71%

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

et al. 2022

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The Basketball Learning and Performance Assessment Instrument (BALPAI) has been initially developed and evaluated to assess the performance of students or youth basketball players on the entry level. As it is currently the only observational instrument that allows an overall assessment of players’ in-game performance, it might represent a valuable tool for talent identification and development purposes. To investigate this potential field of application, this study aimed to evaluate the BALPAI regarding reliability and diagnostic validity when assessing youth basketball players within a competitive setting. The study sample comprised N = 54 male youth players (Mage = 14.36 ± 0.33 years) of five regional selection teams (Point Guards, PG: n = 19; Shooting Guards and Small Forwards, SG/SF: n = 21; and Power Forwards and Centers, PF/C: n = 14) that competed at the annual U15 national selection tournament of the German Basketball Federation (n = 24 selected; n = 30 non-selected). A total of 1997 ball-bound actions from five games were evaluated with BALPAI. The inter-rater reliability was assessed for technical execution, decision making, and final efficacy. The diagnostic validity of the instrument was examined via mean group comparisons of the players’ offensive game involvement and performance regarding both selection-dependent and position-dependent differences. The inter-rater reliability was confirmed for all performance-related components (κadj ≥ 0.51) while diagnostic validity was established only for specific the BALPAI variables. The selection-dependent analysis demonstrated higher offensive game involvement of selected players in all categories (p < 0.05, 0.27 ≤ Φ ≤ 0.40) as well as better performance in shooting and receiving (p < 0.05, 0.23 ≤ Φ ≤ 0.24). Within the positional groups, the strongest effects were demonstrated among PG (p < 0.05, 0.46 ≤ Φ ≤ 0.60). The position-dependent analysis revealed that PG are more involved in total ball-bound actions (p < 0.05; 0.34 ≤ Φ ≤ 0.53), passing (p < 0.001; 0.55 ≤ Φ ≤ 0.67), and dribbling (p < 0.05, 0.45 ≤ Φ ≤ 0.69) compared to players in other positions. Further differences between players according to selection status and playing position were not detected. The results of this evaluation indicate that the instrument, in its current form, is not yet applicable in competitive youth basketball. The findings highlight the importance of optimizing BALPAI for reliable and valid performance assessments in this context. Future studies should investigate the application of stricter and position-specific criteria to use the observational tool for talent identification and development purposes.

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Section: Diagnostic Validity (Objective 2)supporting

confidence: 71%

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

et al. 2022

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“…Alternatively, player roles within a team may reflect the team strategy for each particular game. Indeed, Clemente et al [ 29 ] and Mexas et al [ 30 ] observed individual performance in basketball to be reflective of the player’s role. Point guards were found to be the most prominent position during offensive organization [ 29 ], while perimeter players were observed to be primarily responsible for the majority of offensive efforts relative to post-players [ 30 ].…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, Clemente et al [ 29 ] and Mexas et al [ 30 ] observed individual performance in basketball to be reflective of the player’s role. Point guards were found to be the most prominent position during offensive organization [ 29 ], while perimeter players were observed to be primarily responsible for the majority of offensive efforts relative to post-players [ 30 ]. Post-players in comparison were observed to be the least prominent position during offensive organization with their primary role to receive the ball and shoot [ 29 ].…”

Section: Discussionmentioning

confidence: 99%

“…Point guards were found to be the most prominent position during offensive organization [ 29 ], while perimeter players were observed to be primarily responsible for the majority of offensive efforts relative to post-players [ 30 ]. Post-players in comparison were observed to be the least prominent position during offensive organization with their primary role to receive the ball and shoot [ 29 ]. The influence of player roles on individual game performance potentially alludes to understanding the small to very large differences in in-game performance measures between chronotype groups.…”

Section: Discussionmentioning

confidence: 99%

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Player Chronotype Does Not Affect In-Game Performance during the Evening (>18:00 h) in Professional Male Basketball Players

et al. 2021

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Sport-specific skills display diurnal variation across various team sports such as badminton and tennis serving accuracy and soccer dribbling, volleying, and chipping execution. However, the effects of athlete chronotype on in-game sport-specific skill performance according to time of day across team sports is not well understood. Therefore, the aim of this study was to identify the effect of player chronotype on in-game basketball performance during evening games. Professional male basketball players (n = 11) completed a morningness–eveningness questionnaire and were categorized according to chronotype (morning-type: n = 4; neither-type: n = 6; evening-type: n = 1). Box score data from the 2019/20 season were utilized to determine individual in-game performance during evening games played after 18:00 h. Composite metrics (i.e., effective field goal percentage, offensive rating, defensive rating, and player efficiency) were used as indicators of player performance. Non-significant (p ≥ 0.21) differences were evident between M-types and N-types for most performance measures. Small to very large effects were observed in the number of rebounds favoring M-types, and three-point shots attempted and made, assists, and steals favored N-types. In-game performance appeared to not be affected by chronotype (i.e., M-type vs. N-type) in evening games among professional male basketball players. The lack of observed effect between chronotype and in-game performance suggest coaching staff may not need to consider player chronotype when developing a match strategy or assigning player roles if largely dealing with M-types and N-types. However, to ensure the greatest specificity, coaching staff may endeavor to schedule habitual training times in line with that of competition in an effort to align player circadian rhythms to games.

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A temporal graph model to study the dynamics of collective behavior and performance in team sports: an application to basketball

Bourgeais,

Charrier,

Sanlaville

et al. 2024

Soc. Netw. Anal. Min.

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Untitled

Cited by 3 publications

References 14 publications

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

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

Player Chronotype Does Not Affect In-Game Performance during the Evening (>18:00 h) in Professional Male Basketball Players

A temporal graph model to study the dynamics of collective behavior and performance in team sports: an application to basketball

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