Clustering performance in the European Basketball according to players’ characteristics and contextual variables

2020 ◽  
Vol 15 (3) ◽  
pp. 405-411 ◽  
Author(s):  
Nuno Mateus ◽  
Pedro Esteves ◽  
Bruno Gonçalves ◽  
Ivan Torres ◽  
Miguel Angel Gomez ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Cluster Model ◽  
Archival Data ◽  
Team Composition ◽  
Contextual Variables ◽  
Basketball Players ◽  
Player Profiles ◽  
Performance Profiles ◽  
Game Performance

The aim of this study was two-fold: (i) to identify differences in the game performance profiles of basketball players in Euroleague and European national championships; and (ii) to analyse the influence of player-related (e.g. age or court-position) and contextual variables (e.g. distance travelled or game break) in players’ game-related statistics. Archival data from 2014/2015 and 2015/2016 seasons ( n = 16,268 individual game performance records) of Euroleague and European national championships were separately analyzed using a two-step cluster model and then a discriminant analysis to differentiate the obtained groups. The clustering process allowed identifying three and five different performance player profiles for Euroleague and national championships, respectively. The discriminant analysis identified differences in Euroleague playing profiles, particularly related to performers’ age and court-position. In national championships, this trend was not observed. Regardless of the competition, a relationship was perceived between players’ performance and minutes played; conversely, the players’ performance seems to not be affected by contextual variables. The current results provide evidence of different players’ profiles in elite basketball to coaches regarding the influence of player-related and contextual variables. Coaching staffs may account for this information for better management and understanding of their team composition when playing in different competitions.

scholarly journals Exploring game performance in NBA playoffs

Kinesiology ◽  
2018 ◽  
Vol 50 (1) ◽  
pp. 89-96 ◽  
Author(s):  
Nuno Mateus ◽  
Bruno Gonçalves
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Tracking Data ◽  
Player Tracking ◽  
Performance Profiles ◽  
Game Performance

This study aimed to identify performance profiles in NBA playoffs and describe performances in the first and the last games of the series. Thirty games from the official box-scores and player-tracking data of the 2014/15 NBA playoffs were considered. A k-means cluster analysis was performed to group the players according to their game performance profiles and a discriminant analysis was conducted to identify the game-related statistics that best discriminated the groups. The first function correctly classified 64.2% of the cases and the second function classified 29.9% of the cases. The cluster analysis identified four different performance profiles and from the discriminant analysis emerged several offensive and defensive variables to classify the players in the clusters. The identified trends help to improve understanding of the game during different stages of playoffs. Coaches may use this information to better prepare their teams for different game scenarios.

Differences between Active and Inactive Quality Circles in Attendance and Performance

1993 ◽  
Vol 22 (4) ◽  
pp. 579-590 ◽  
Author(s):  
Thomas Li-Ping Tang ◽  
Peggy Smith Tollison ◽  
Harold D. Whiteside
Keyword(s):  
Discriminant Analysis ◽  
Problem Solving ◽  
Small Groups ◽  
Archival Data ◽  
Quality Circle ◽  
Quality Circles ◽  
Attendance Rate ◽  
And Performance ◽  
Problem Solving Process

Based on the archival data of a quality circle (QC) program in a three-year period, the differences between active QCs (n = 32) and inactive QCs (n = 12) on QC members' participation and QCs' performance were examined using a discriminant analysis. The results showed that active QCs had lower rate of problem-solving failure, higher attendance rate at QC meetings, and higher net savings of QC projects than inactive QCs. The results were discussed in terms of the problem-solving process of small groups.

The Effects of an Imagery Rehearsal, Relaxation, and Self-Talk Package on Basketball Game Performance

1990 ◽  
Vol 12 (2) ◽  
pp. 157-166 ◽  
Author(s):  
Gail Kendall ◽  
Dennis Hrycaiko ◽  
Garry L. Martin ◽  
Tom Kendall
Keyword(s):  
Social Validity ◽  
Multiple Baseline ◽  
Single Subject ◽  
Intervention Package ◽  
Basketball Players ◽  
Basketball Game ◽  
Self Talk ◽  
Validity Measures ◽  
Game Performance ◽  
Imagery Rehearsal

This study investigated the effects of an imagery rehearsal, relaxation, and self-talk package on the performance of a specific defensive basketball skill during competition. Subjects were four female intercollegiate basketball players. A single-subject multiple-baseline-across-individuals design was employed to evaluate the intervention package. The intervention was clearly effective in enhancing a basketball skill during games, and social validity measures were very positive. The need for further research in this area is discussed.

scholarly journals Analysis of goalkeepers’ game performances at the 2016 European Football Championships

2020 ◽  
Vol 32 (1) ◽  
pp. 1-4
Author(s):  
Alliance Kubayi
Keyword(s):  
High Intensity ◽  
Tracking System ◽  
Video Tracking ◽  
Substantial Body ◽  
Successful Execution ◽  
European Football ◽  
Performance Profiles ◽  
Number Of Passes ◽  
Game Performance ◽  
Video Tracking System

Background: Despite a substantial body of literature on the physical and technical demands of outfield players in football, there is little information regarding the performance of goalkeepers.   Objective: The aim of this study was to analyse the game performance profiles of goalkeepers at the 2016 European Football Championships.   Methods: A total of 30 goalkeepers from 15 games played during the 2016 European Football Championships were analysed using the InStat® video tracking system.   Results: The results showed that goalkeepers covered a mean total distance of 4819 m, ranging from 4036 m to 6640 m. Overall, 68% of distance travelled was attributed to walking, whereas 0.8% was due to high-intensity activities. The goalkeepers of teams that lost matches covered significantly (p < 0.05) longer distances while sprinting than those of teams that drew or won the matches. Goalkeepers of teams that drew significantly (p < 0.05) had a greater number of passes than those goalkeepers of teams that won or lost.   Conclusion: The current results have implications for soccer coaches to structure training sessions and tactical strategies for goalkeepers. The ability of goalkeepers to meet the physical and technical demands of a match could directly influence the successful execution of skills and the outcome of the competition.

scholarly journals A Multi-Block Multivariate Analysis to Explore the Influence of the Somatic Maturation in Youth Basketball

2021 ◽  
Vol 12 ◽  
Author(s):  
Jorge Arede ◽  
Irene Oliveira ◽  
Miguel-Angel Ángel Gomez ◽  
Nuno Leite
Keyword(s):  
Cluster Analysis ◽  
Canonical Correlation ◽  
Age Groups ◽  
Age Group ◽  
Basketball Players ◽  
Generalized Canonical Correlation Analysis ◽  
Physical Tests ◽  
Performance Profiles ◽  
Status Differences ◽  
Age Category

The aim of this study was to examine the influence of somatic maturation in anthropometric, physical, and game-related variables in youth basketball age groups under-13 (U-13) and under-15 (U-15). One-hundred and eighty-five basketball players performed anthropometrical and physical tests during a non-official youth basketball tournament. Predicted maturity offset (MO) and game-related variables were also analyzed. Cluster analysis was used to analyze the between-maturation status differences in all parameters in each age group. Also, regularized generalized canonical correlation analysis (RGCCA) was used to assess relative contributions of maturational, physical, and game-related variables within each age group. Based on MO, two different clusters were identified within each age category. Greater differences in MO were identified among U-13 clusters than among U-15 clusters. No significant differences were observed between clusters in terms of physical and game-related variables. High correlations between maturational, physical, and game-related variables (i.e., points scored, field goals attempted, and rebounds) were found for boys. In girls, different trends in terms of correlations were observed. The strongest association between blocks was observed between physical tests and game-related variables in all age categories, except for U-15 girls. Knowing and identifying performance profiles according to biological age is of upmost importance since it allows the coach to create challenging situations adjusted to the individual’s needs.

scholarly journals The Study of Maturational Timing Effect in Elite Portuguese Adolescent Basketball Players: Anthropometric, Functional and Game Performance Implications

2021 ◽  
Vol 11 (21) ◽  
pp. 9894
Author(s):  
Isabel Fragoso ◽  
Sérgio Ramos ◽  
Júlia Teles ◽  
Anna Volossovitch ◽  
António Paulo Ferreira ◽  
...  
Keyword(s):  
Peak Height ◽  
Upper Body ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Basketball Players ◽  
Cross Sectional ◽  
Male Adolescents ◽  
Body Strength ◽  
Upper Body Strength ◽  
Game Performance

To estimate age at peak height velocity (APHV) in Portuguese male adolescents and; test the effect of maturational status in physical fitness attributes and individual game performance of U-14 basketball players. One mixed-longitudinal cohort with a sample of 439 Portuguese male adolescents and; one cross sectional sample of 172 Portuguese elite U-14 basketball players. The on-time group was defined within a 1-year band (more or less) from mean APHV. Preece-Baines model 1 was adopted to fit the mean stature curve. Independent samples t-tests and Kruskal-Wallis tests were performed and effect size (partial eta square) was calculated. The growth fitting revealed an APHV around 13.45 years for Portuguese male adolescents. Early maturing players exceeded significantly their peers in body size and composition, jump power and upper body strength. Early and on-time maturing players scored better in rebounds won per game (APHV = 13.81, 13.30 years), Performance Index Rating (PIR) and points scored per minute. Maturation influences morphology attributes and strength regardless of the APHV (13.81, 13.45, 13.30 years) used to obtain the cut-off points. It is recommended to use the new Portuguese mean APHV value to avoid extreme classifying bias groups.

The Association Between Sleep and In-Game Performance in Basketball Players

2020 ◽  
pp. 1-9
Author(s):  
Jordan L. Fox ◽  
Robert Stanton ◽  
Aaron T. Scanlan ◽  
Masaru Teramoto ◽  
Charli Sargent
Keyword(s):  
Sleep Quality ◽  
Performance Metrics ◽  
Standard Errors ◽  
Basketball Players ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Sleep Diaries ◽  
Performance Statistics ◽  
And Performance ◽  
Game Performance

Purpose: To investigate the associations between sleep and competitive performance in basketball. Methods: A total of 7 semiprofessional, male players were monitored across the in-season. On nights prior to competition, sleep duration and quality were assessed using actigraphs and sleep diaries. The data were accumulated over 1 (night 1), 2 (nights 1–2 combined), 3 (nights 1–3 combined), and 4 (nights 1–4 combined) nights prior to competition. Performance was reported as player statistics (field goal and free-throw accuracy, rebounds, assists, steals, blocks, and turnovers) and composite performance statistics (offensive rating, defensive rating, and player efficiency). Linear regression analyses with cluster-robust standard errors using bootstrapping (1000 replications) were performed to quantify the association between sleep and performance. Results: The night before competition, subjective sleep quality was positively associated with offensive rating and player efficiency (P < .05). Conclusions: Strategies to increase subjective sleep quality the night before competition should be considered to increase the likelihood of successful in-game performance, given its association with composite performance metrics.

Decision making of semi-professional female basketball players in competitive games

2020 ◽  
Author(s):  
Tomáš Vencúrik ◽  
Dominik Bokůvka ◽  
Jiří Nykodým ◽  
Pavel Vacenovský
Keyword(s):  
Decision Making ◽  
Binary Logistic Regression ◽  
Point Of View ◽  
Rater Agreement ◽  
Basketball Players ◽  
Final Model ◽  
Logistic Regression Method ◽  
Competitive Games ◽  
Game Performance ◽  
Individual Training

Purpose: Nowadays, not only the research but also coaching is focusing on decision making in basketball. Decision making is critical in basketball, especially in relation to offensive skills (with ball). Generally, the players have to decide what to do with the ball (make an appro-priate decision) and in the shortest time possible. From this point of view, the study aims to identify the factors which can affect the decision making of offensive skills of female basket-ball players. Methods: Eight semi-professional female basketball players participated in this study. Basket-ball players played five competitive games in the second division. During all games, the heart rate was monitored. Decision making was assessed according to Basketball Offensive Game Performance Instrument (BOGPI) and categorized as appropriate and inappropriate. For this purpose, the notational analysis was used. Based on previous research, the four main factors were set as independent variables. Each of these factors was categorized. The first factor was the intensity of load ( 95% of HR ), second factor was ball possession duration (0–8 s, 9–16 s, and 17–24 s), third factor was game period (1st quarter, 2nd quarter, 3rd quarter, and 4th quarter), and the fourth factor was defensive pressure of an opponent (low, moderate, and high). Objectivity was verified by the method of inter-rater agreement, and re-liability was using intra-rater agreement. The influence of factors on decision making was ex-pressed by binary logistic regression. Method of backward stepwise selection was used to find predictors of inappropriate decisions and to find the best model. Results: One regression coeficient in the final model was statistically significant – defensive pressure of the opponent. When the defensive pressure is moderate or high, the chance for inappropriate decisions increased. Conclusion: Based on these findings, the coaches should take into consideration these fac-tors when preparing individual training sessions.

Influence of non-scorer floater and numerical superiority on novices’ tactical behaviour and skill efficacy during basketball small-sided games

2021 ◽  
pp. 174795412110219
Author(s):  
Laura Beatriz Faleiro Diniz ◽  
Sarah da Glória Teles Bredt ◽  
Gibson Moreira Praça
Keyword(s):  
Performance Assessment ◽  
Effect Size ◽  
Assessment Instrument ◽  
Previous Experience ◽  
Medium Effect ◽  
Basketball Players ◽  
Numerical Equality ◽  
Friedman's Test ◽  
Post Hoc ◽  
Game Performance

The study compared the tactical behaviour and skill efficacy of young novice basketball players during small-sided games (SSGs) in situations of numerical equality (3vs.3), numerical superiority (3vs.2), and a non-scorer floater (3vs.3 + 1). A total of forty-five schoolchildren (11.55 ± 0.49 years) from both sexes with no previous experience in basketball participated in ten four-minute SSGs of each format for four 1-h sessions. The Game Performance Assessment Instrument was used to analyse tactical behaviour and skill efficacy. Friedman’s test, Dunn’s post hoc test, and r effect size were used to compare the variables between SSGs. Pass inefficacy (3vs.3 > 3vs.2; p = 0.004; large effect), rebound efficacy (3vs.2 > 3vs.3 + 1 and 3vs.3; p = 0.002; large effect), support (3vs.3 > 3vs.3 + 1 e 3vs.2; p = 0.002; medium effect), and guard/mark (3vs.2 > 3vs.3 and 3vs.3 + 1; p = 0.001; medium effect) showed significant differences between SSGs. The results support the hypothesis that an unbalanced SSG is less complex than an SSG with numerical equality, as the technical-tactical performance is higher in unbalanced SSGs.

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