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

2021 ◽  
Author(s):  
Michael Rogers ◽  
Alyson J. Crozier ◽  
Natasha K. Schranz ◽  
Roger G. Eston ◽  
Grant R. Tomkinson
2021 ◽  
Author(s):  
Maria Brenner ◽  
Arielle Weir ◽  
Margaret McCann ◽  
Carmel Doyle ◽  
Mary Hughes ◽  
...  

BACKGROUND Development of the Key Performance Indicators for Digital Health Interventions: A Scoping Review OBJECTIVE Digital health interventions (DHIs) offer new methods for delivering healthcare, with the potential to innovate healthcare services. Key performance indicators (KPIs) play a role in evaluation, measurement, and improvement in healthcare quality and service performance. The scoping review question was developed following an initial search to identify literature to assist in the development of KPIs for an ongoing DHI initiative. During the initial search, it became clear that there was limited literature on how to develop specific and measurable KPIs that evaluate DHIs. The aim of this scoping review was to identify current knowledge and evidence surrounding the development of KPIs for DHIs. METHODS A rigorous literature search was conducted across ten key databases: AMED - The Allied and Complementary Medicine Database, CINAHL Complete, Health Source: Nursing/Academic Edition, MEDLINE, APA PsycINFO, EMBASE, EBM Reviews - Cochrane Database of Systematic Reviews, EBM Reviews - Database of Abstracts of Reviews of Effects, EBM Reviews - Health Technology Assessment, and IEEE Xplore. A descriptive summary of the literature was performed, and thematic analysis identified important or reoccurring themes. RESULTS Five references (representing four unique publications) were eligible for the review. Of the four included publications, two were articles on original research studies of a specific DHI, and two were overviews of methods for developing DHIs (not specific to a single DHI). All the included reports discussed the involvement of stakeholders in developing KPIs for DHIs. The step of identifying and defining the KPIs was completed using various methodologies, but all centered on a form of stakeholder involvement. Potential options for stakeholder involvement for KPI identification include the use of an elicitation framework, a factorial survey approach, or a Delphi study. Most of the included articles recognised the lack of literature relating to KPI development for DHIs, compared to the breath of literature available on the development of KPIs in other fields like health or informatics CONCLUSIONS Few articles were identified, highlighting a significant gap in the evidence-based knowledge in this domain. All the included articles discussed the involvement of stakeholders in developing KPIs for DHIs, which was performed using various methodologies. The articles acknowledged a lack of literature related to KPI development for DHIs. To allow comparability between KPI initiatives and facilitate work in the field, further research would be beneficial to develop a common methodology for KPI development for DHIs.


2019 ◽  
Vol 113 (3) ◽  
pp. 220-234
Author(s):  
Mary J. Tellefson ◽  
William S. Koehler ◽  
Kathryn D. Botsford ◽  
Leanne Cook

Introduction: Performance standards drive current instructional practice. Disability-specific curricula is a critical component in preparing children for postsecondary transition. Currently, no standards govern instruction in orientation and mobility (O&M) skills for children with visual impairments. Standards for O&M would provide structure for educational equity in assuring that students with visual impairments receive a free and appropriate education. Method: This study used Delphi survey methods to determine consensus on the validity of the Orientation and Mobility Career, College, and Community Readiness Standards (O&M CCCRS). Consensus was measured as 80% or better agreement. Three survey rounds were initiated and two were completed by a purposive sample of certified orientation and mobility specialist (COMS) from two participant groups: Seven COMS from primary and secondary school–based settings and three from personnel preparation. Results: This Delphi study achieved consensus on the O&M CCCRS five student-performance standards (end of Grade 12 or age 21 years) as well as the corresponding age- and grade–level performance indicators at ages 24 months, 4 years, end of Grade 3, end of Grade 7, and end of Grade 12. Consensus was reached on all but two performance indicators (83 of the 85). Discussion: The Round 1 survey established validity of five O&M Domains: (1) Concept Development, (2) Sensory Development, (3) Orientation and Mapping, (4) Travel Techniques, and (5) Communication, Personal Safety, and Advocacy. Subsequent survey rounds found that 80% of participants agreed on the inclusion of 83 of the 85 performance indicators corresponding to those domains. Implications for practitioners: Alignment of O&M standards to Common Core Standards empowers teams to justify the instructional time, to document skill acquisition relative to the benchmarks of general-education peers, and to show where O&M skills support progress in common core and state learning standards.


Author(s):  
Javier García-Rubio ◽  
Daniel Carreras ◽  
Sebastian Feu ◽  
Antonio Antunez ◽  
Sergio J. Ibáñez

The NBA Draft Combine includes a series of standardized measurements and drills that provide NBA teams with an opportunity to evaluate players. The purpose of this research was to identify the Combine tests that explain draft position and future performance in the NBA rookie season. Variables were selected from the previous categories of anthropometric measurements and strength and agility tests. A regression analysis was carried out. Combine variables, anthropometric and agility/strength variables were analyzed to explore their effect on draft position. Moreover, correlation analyses were performed to identify relationships among: (i) Combine anthropometric and strength and agility measures and game performance through game related statistics; and (ii) the draft position and game performance using Pearson’s correlation coefficients. Results show that the Combine test does not predict draft position, with the exception of hand width and height in frontcourt players, and standard vertical jump and running vertical jump. Future performance indicators were explained by several Combine tests in all players.


2014 ◽  
Vol 21 (1) ◽  
pp. 52-57 ◽  
Author(s):  
Miguel Basto-Pereira ◽  
Sara Isabel Félix Furtado ◽  
Ricardo Jorge Pereira Silva ◽  
Francisco Fachado González ◽  
Tito Manuel Vara Fernandes ◽  
...  

Author(s):  
Modric ◽  
Versic ◽  
Sekulic ◽  
Liposek

Running performance (RP) and game performance indicators (GPI) are important determinants of success in soccer (football), but there is an evident lack of knowledge about the possible associations between RP and GPI. This study aimed to identify associations between RP and GPI in professional soccer players and to compare RP and GPI among soccer playing positions. One hundred one match performances were observed over the course of half of a season at the highest level of national competition in Croatia. Players (mean ± SD, age: 23.85 ± 2.88 years; body height: 183.05 ± 8.88 cm; body mass: 78.69 ± 7.17 kg) were classified into five playing positions (central defenders (n = 26), full-backs (n = 24), central midfielders (n = 33), wide midfielders (n = 10), and forwards (n = 8). RP, as measured by global positioning system, included the total distance covered, distance covered in five speed categories (walking, jogging, running, high-speed running, and maximal sprinting), total number of accelerations, number of high-intensity accelerations, total number of decelerations, and number of high-intensity decelerations. The GPI were collected by the position-specific performance statistics index (InStat index). The average total distance was 10,298.4 ± 928.7 m, with central defenders having the shortest and central midfielders having the greatest covered distances. The running (r = 0.419, p = 0.03) and high-intensity accelerations (r = 0.493, p = 0.01) were correlated with the InStat index for central defenders. The number of decelerations of full-backs (r = −0.43, p = 0.04) and the distance covered during sprinting of forwards (r = 0.80, p = 0.02) were associated with their GPI obtained by InStat index. The specific correlations between RP and GPI should be considered during the conditioning process in soccer. The soccer training should follow the specific requirements of the playing positions established herein, which will allow players to meet the game demands and to perform successfully.


2013 ◽  
Vol 37 (1) ◽  
pp. 145-151 ◽  
Author(s):  
Kazimierz Mikołajec ◽  
Adam Maszczyk ◽  
Tomasz Zając

The main goal of the present study was to identify basketball game performance indicators which best determine sports level in the National Basketball Association (NBA) league. The research material consisted of all NBA game statistics at the turn of eight seasons (2003-11) and included 52 performance variables. Through detailed analysis the variables with high influence on game effectiveness were selected for final procedures. It has been proven that a limited number of factors, mostly offensive, determines sports performance in the NBA. The most critical indicators are: Win%, Offensive EFF, 3rd Quarter PPG, Win% CG, Avg Fauls and Avg Steals. In practical applications these results connected with top teams and elite players may help coaches to design better training programs.


2013 ◽  
Vol 36 (1) ◽  
pp. 161-168 ◽  
Author(s):  
Javier García ◽  
Sergio J. Ibáñez ◽  
Raúl Martinez De Santos ◽  
Nuno Leite ◽  
Jaime Sampaio

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.


2018 ◽  
Vol 18 (2) ◽  
pp. 63-68 ◽  
Author(s):  
M. Križan ◽  
M. Mikulič

The aim of the thesis was to analyze selected indicators of the game performance of the representative team in the defensive and offensive phases of the Slovak cadets’ game, depending on the result of the match. Materials and methods. In the thesis, we assumed that we would find a statistically significant relationship between the observed performance indicators and the result of the match. To obtain the research data, we used indirect observation of seven World Championship cadet matches of 2016. We used Hianik (2010) to diagnose game performance. We analyzed selected indicators of the game performance of the representative team of Slovak cadets (n=18), depending on the result of the match. Results. We found out that the result of the match is influenced by the game performance of the team in the defensive and offensive phases of the game. Furthermore, we have drawn the conclusion that the game result is also influenced by the performance of the goalkeeper (p<0.01). Conclusions. The thesis highlighted the importance of the game performance of the team both in the defensive and the offensive phases of the game as well as the performance of the goalie in the match. The results obtained showed statistical significance (p<0.01) and proved that the outcome of the match is influenced by the successful team play in attack and defense. Also, the result of the match depends on the goalkeeper’s performance. We recommend using the computer program Hianik (2010) to evaluate the game performance of the team in the game.


Sign in / Sign up

Export Citation Format

Share Document