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"Basketball Coaching."
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Play as practice? Comparative analysis of preparation period and match adjustments in a basketball team’s performance
In basketball, successful performance relies on the optimal use of top-down strategic guidance by coaches and bottom-up adjustments by players, requiring a preparation plan consistent with match demands. The aim of this study was to analyze the strategic-tactical tendencies between a basketball team’s preparation and match performance phases for a U16 men’s national team during a continental tournament. The team was composed by 12 players (aged 16 ± 0.4) with at least three years of participation in basketball competitions. Data from team strategy (the playbook), team practices, and match performance were integrated through a common set of variables in a decision support framework, the Team Learning Cycle (TLC). The influence of situational variables with respect to preparation and match performance consistency and efficiency was also investigated. The preparation phase significantly emphasized small-sided games focused on group-tactics-based attacks, combining offense and defense, usually in the set offense. During the matches, the set offense was also significantly prioritized. The frequency of group-tactics-based attacks increased relative to team plays from the group phase to the elimination phase ( p < 0.05). Efficiency generally improved during close matches, suggesting successful team strategy learning and tactical autonomy from preparation to matches. Using consistency and efficiency together provided for an effective evaluation of a team’s preparation-performance relationship. This evidence underscores the importance of sensitive monitoring methods for establishing accurate associations between preparation and performance. Coaches can use this systematic procedure to critically examine their use of preparation time relative to match performance. Additionally, basketball managers may find that TLC-related evidence supports evaluating coaches’ multi-dimensional skills from a broader perspective than simply winning rates, offering a more objective and comprehensive assessment of coaching effectiveness.
Journal Article
The Essence of My Coaching Is to Serve: Monty Williams, Faith, and Relationality
Oftentimes, an athletic coach is tasked with establishing a player–coach relationship that is built on trust, commitment, accountability, hard work, and a belief in process. More recently, however, head coach of the Phoenix Suns, Monty Williams, has garnered considerable public attention for adding faith into that equation. Though faith is primarily considered a theological outlook and expression of spiritual value, it has extended beyond religiosity into his coaching praxis and pedagogy. In the paper, I look to add the voice of Monty Williams to the rich cohort of Black people assembled by Carey Latimore in Unshakable Faith: African American Stories of Redemption, Hope, and Community, a text principally concerned with illuminating the diversity in thought and expression of faith. Additionally, I draw on theories from Black Studies, post-colonial studies, and the sociology of sport to interrogate a particular discursive formulation advanced by Williams—“[…] the essence of my coaching is to serve”. I explore the nature of a faith-based coaching philosophy in the game of basketball and how the notion of coaching as service expresses a dynamic, complex set of religious histories, but also embodies a form of relationality centered on the following question: What does it mean to navigate sociopolitical life and death in community?
Journal Article
Building a basketball game strategy through statistical analysis of data
Management practices may be based either on manager’s intuition or on analytical and objective reasoning. Sports and, particularly, basketball can be considered as an indicative field where these differences in decision-making can be met. This paper has been motivated by the statistical analysis that the author conducted in the past in order to support the management of a Greek basketball team and specifically the decision-making process of its coach regarding the team’s strategy during its games. The aim of the paper is on the one hand to present some indicative, simple ideas for the statistical analysis of basketball data, and on the other hand to show that any basketball team can improve significantly its decision-making process if it chooses to be statistically supported. Basketball data is numerous; consequently its elaboration can be extensive and fruitful.
Journal Article
Race, Supervisorial Change, and Job Outcomes: Employability Resilience in NCAA Division I College Basketball Coaching
We examine how race affects the employment status of subordinates following a job change by their immediate supervisors. We test whether racial homophily between a subordinate and a supervisor affects the odds of being let go. We also consider whether a racial match between an incoming head coach and assistant affects whether assistants retain their assistant coaching position. Data for these analyses come from a unique data set that explores what happens to 704 NCAA Division I college basketball assistant coaches after the head coach leaves the school. Logistic regression analyses confirm the benefit of working for a white head coach as this decreases the likelihood of being let go, compared to more positive outcomes such as following the coach to a new school, being internally promoted or retained after the head coach's departure. Furthermore, racial homophily with incoming head coaches insulates subordinates from having to search for new employment by increasing the likelihood of assistants being retained.
Journal Article
Analysis of Influence of Basketball Game-Related Statistics on Final Result Based on Differences at the 2017 FIBA Asia Cup
Background: Many papers have been published on the topic of basketball players' performance. Most of them have come from authors covering the field from USA and Europe, whereas the number of papers from the rest of the world, particularly Asia, has so far been small in numbers. Objectives: Evaluate the significance of the observed parameters in relation to the game outcome (winning/losing) at the last continental championship, 2017 FIBA Asia Cup. Methods: The sample of entity consisted of 40 games played at 2017 FIBA Asia Cup. The sample of variables consisted of 13 variables registered in the manner as set out by FIBA regulations and 15 derived (relative) variables. Accordingly, two basic models of regression were formed, i.e. absolute and relative, and they had the number of total points scored as their dependent variable. The correlation between the two models was performed by means of regression and correlation analysis of the two models - stepwise regression. Results: The obtained regression models and partial correlation indicate that winning and losing performance was heavily influenced in the absolute model, by the following: [DELTA]FGM, [DELTA]MFT, and [DELTA]M3, accounting for 95.9% of difference. The second model extracted:[DELTA]FG%,[DELTA]TO%,[DELTA]DR%,[DELTA]PTS3%, and [DELTA]FT%, accounting for 90.7% of difference between winning and losing teams. Conclusions: Considering the significance of shooting and defensive rebounding, basketball coaches have been strongly advised, in this and many previous works, to pay special attention to these segments of the game. Keywords: Asian Cup, Basketball, Defensive Rebounds, Lose, Shooting, Stepwise Regression, Turnovers, Winning
Journal Article