A data-driven prediction approach for sports team performance and its application to National Basketball Association

Omega ◽  
2021 ◽  
Vol 98 ◽  
pp. 102123 ◽  
Author(s):  
Yongjun Li ◽  
Lizheng Wang ◽  
Feng Li
Keyword(s):  
Team Performance ◽  
National Basketball Association ◽  
Data Driven ◽  
Sports Team ◽  
Prediction Approach

scholarly journals Reducing the Energy Budget in WSN Using Time Series Models

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Felicia Engmann ◽  
Ferdinand Apietu Katsriku ◽  
Jamal-Deen Abdulai ◽  
Kofi Sarpong Adu-Manu
Keyword(s):  
Data Transmission ◽  
Energy Savings ◽  
Data Driven ◽  
Wireless Sensor ◽  
Time Series Models ◽  
Duty Cycling ◽  
Data Driven Approach ◽  
Save Energy ◽  
The Cost ◽  
Prediction Approach

Energy conservation is critical in the design of wireless sensor networks since it determines its lifetime. Reducing the frequency of transmission is one way of reducing the cost, but it must not tamper with the reliability of the data received at the sink. In this paper, duty cycling and data-driven approaches have been used together to influence the prediction approach used in reducing data transmission. While duty cycling ensures nodes that are inactive for longer periods to save energy, the data-driven approach ensures features of the data that are used in predicting the data that the network needs during such inactive periods. Using the grey series model, a modified rolling GM(1,1) is proposed to improve the prediction accuracy of the model. Simulations suggest a 150% energy savings while not compromising on the reliability of the data received.

Creating a Fan Community for Sport Teams Through Social Media

2019 ◽  
Vol 11 (1) ◽  
pp. 35-47
Author(s):  
Rosalyn J. Rufer ◽  
Lisa S. Rufer
Keyword(s):  
Social Media ◽  
Empirical Data ◽  
Sense Of Belonging ◽  
National Basketball Association ◽  
Fan Behavior ◽  
Fan Communities ◽  
Sport Teams ◽  
Sports Team ◽  
And Behavior ◽  
The Relationship

With so many people using social media, it is no surprise that sports team at all levels are looking to use social media to increase interactions with the spectators. Consumers appear to choose to use social media to connect with the team, other fans, and feel a sense of belonging to a community. There are many articles that discuss the relationship between social media and sport; however, many of them are not supported with empirical data, nor do they address the gap between fan communities and behavior. This study uses empirical data to try to prove that there is a relationship between social media and creating a brand community for teams in the National Basketball Association (NBA). It adds to the literature by providing empirical evidence between fan communities and fan behavior.

Group Know-How

2018 ◽  
Author(s):  
S. Orestis Palermos ◽  
Deborah P. Tollefsen
Keyword(s):  
Team Performance ◽  
Distributed Cognition ◽  
Jazz Improvisation ◽  
Knowing How ◽  
Know How ◽  
Natural Place ◽  
Alternative Approach ◽  
Sports Team ◽  
Individual Knowledge ◽  
Potential Link

While mainstream epistemology has recently turned its focus on individual know-how (e.g., knowing-how to swim, ride a bike, play chess, etc.), there is very little, if any, work on group know-how (e.g., sports-team performance, jazz improvisation, knowing-how to tango, etc.). This chapter attempts to fill the gap in the existing literature by exploring the relevant philosophical terrain. It starts by surveying recent debates on individual knowledge-how and argues that group know-how (G-KH) cannot always be reduced to individual knowledge-how. Rather, certain cases of G-KH call for a non-reductive analysis. A natural place to look for a theory of irreducible G-KH is the literature on joint intentionality and distributed cognition. First, the chapter explores what a joint intentionality approach to G-KH might look like. Then it considers an alternative approach that views G-KH as a form of distributed cognition. Finally, the chapter discusses a potential link between the two approaches.

Importance of team height to winning games in the National Basketball Association

2017 ◽  
Vol 13 (4) ◽  
pp. 559-568 ◽  
Author(s):  
Masaru Teramoto ◽  
Chad L Cross
Keyword(s):  
Team Performance ◽  
Correlation Coefficients ◽  
Estimating Equation ◽  
Effective Field ◽  
National Basketball Association ◽  
Average Height ◽  
Performance Variables ◽  
Free Throw ◽  
Playing Time ◽  
Positive Correlations

A recent trend in the National Basketball Association, so-called “small-ball,” questions the importance of height in basketball. The present study examined the association of team height, defined as an average height of players weighted by playing time, to team performance in the 2006–2007 through 2015–2016 National Basketball Association seasons. Relationships of team height to winning games, to offensive and defensive ratings, and to four factors were assessed using Pearson’s correlation coefficients. A generalized estimating equation was used to examine the association of team height to winning games, separately for the Eastern and Western Conferences, while using performance variables above as covariates. Team height had significant positive correlations with offensive and defensive rebounds, and had a significant inverse relationship with the opponent’s turnovers ( p < 0.05). After adjusting for the team performance variables, team height was found to be an insignificant predictor of winning games in the regular seasons ( p > 0.05). In the playoffs, the interaction between team height and offensive rating was significant ( p < 0.05). A follow-up analysis revealed that teams in the Eastern Conference had higher winning percentages with smaller lineups, whereas those in the Western Conference performed better with bigger lineups. A significant interaction was also found between team height and effective field goal percentage or free throw rate in the Eastern Conference playoffs ( p < 0.05). Specifically, bigger lineups were associated with higher winning percentages for teams with lower effective field goal percentages and higher free throw rates. These results may suggest that team height is important in winning games in the playoffs.

scholarly journals Approaches to assessing the effectiveness of the team's performance in international athletics competitions (on the example of endurance)

2020 ◽  
Vol 6 (2) ◽  
pp. 73
Author(s):  
Iu.V. Rykalov ◽  
N.M. Goncharova
Keyword(s):  
Content Analysis ◽  
Theoretical Analysis ◽  
Team Performance ◽  
Evaluation System ◽  
Objective Assessment ◽  
The Internet ◽  
Theoretical Substantiation ◽  
Sports Team ◽  
Competitive Activities ◽  
Electronic Sources

<p><strong>The </strong><strong>aim</strong>: theoretical substantiation and development of approaches to assessing the effectiveness of the results of the sports team's performance in international athletics competitions (on the example of endurance).</p><p><strong>Material and methods:</strong> theoretical analysis and generalization of scientific and methodological literature and information of the Internet, data of information databases of athletics (Tilastopaja), (All-Athletics), printed and electronic sources of the Association of Track &amp; Field Statisticians- ATFS ), the official website of the European Athletics Association (EAA), the Federation of Athletics of Ukraine, systematization, content analysis. An analysis of the results of competitive activities of athletes (n = 297) of the best thirteen European teams that participated in the XXIV European Athletics Championships (Berlin, 2018) in endurance and have gold awards. The criteria that allow to expand the approaches to assessing the effectiveness of the performance of the full team were considered.</p><p><strong>Results.</strong> The performance of thirteen best teams in athletics in endurance at the XXIV European Athletics Championships (Berlin, 2018) was analyzed. The obtained data allowed us to conclude that in order to create an objective assessment of the team's performance in athletics, it is not enough to take into account only the number of medals won and the places occupied by the team's athletes in the top eight. When determining the effectiveness of team performance in endurance classes, according to the existing evaluation system, medals were awarded to 2% to 33% of athletes from the total team, and places in the top eight were occupied by 18 to 75% of athletes.</p><p><strong>Conclusions.</strong> When evaluating the effectiveness of a sports team, you need to take into account a number of criteria that will create a diverse assessment of the performance of the sports team, which includes evaluation as a criterion - the performance of athletes at the level of personal achievement.</p>

Creating a Fan Community for Sport Teams Through Social Media

2021 ◽  
pp. 338-351
Author(s):  
Rosalyn J. Rufer ◽  
Lisa S. Rufer
Keyword(s):  
Social Media ◽  
Empirical Evidence ◽  
Empirical Data ◽  
National Basketball Association ◽  
Fan Behavior ◽  
Fan Communities ◽  
Sport Teams ◽  
Sports Team ◽  
And Behavior ◽  
The Relationship

With so many people using social media, it is no surprise that sports team at all levels are looking to use social media to increase interactions with the spectators. Consumers appear to choose to use social media to connect with the team, other fans, and feel a sense of belonging to a community. There are many articles that discuss the relationship between social media and sport; however, many of them are not supported with empirical data, nor do they address the gap between fan communities and behavior. This study uses empirical data to try to prove that there is a relationship between social media and creating a brand community for teams in the National Basketball Association (NBA). It adds to the literature by providing empirical evidence between fan communities and fan behavior.

A feedback linearization controller combined with a data-driven subspace-based prediction method for vehicle handling stabilization

2018 ◽  
Vol 233 (4) ◽  
pp. 1156-1180
Author(s):  
Jianwu Zhang ◽  
Weimiao Yang ◽  
Pengpeng Feng
Keyword(s):  
Feedback Linearization ◽  
Prediction Method ◽  
Data Driven ◽  
Nonlinear Controller ◽  
Lateral Velocity ◽  
Vehicle Handling ◽  
Handling Performance ◽  
System A ◽  
The One ◽  
Prediction Approach

Obtaining precise yaw rate and lateral velocity as well as developing a nonlinear controller becomes more and more essential for improving the vehicle handling performance. Different from traditional methods, a data-driven subspace-based prediction approach is introduced by integrating propagator with predictor-based subspace identification method in this paper. Based on an identifiable vehicle model, the prediction process is validated by standard road tests data. To employ this data-driven prediction method in the vehicle handling stabilization and solve the controlling problem of nonlinear lateral dynamic system, a feedback linearization controller based on the new piecewise tire model is elaborately developed. On account of that the one-step prediction output reduces the time delay between actuator and lateral dynamic response, the subspace-based controller can theoretically improve the vehicle handling performance. By road simulation results, the proposed feedback linearization controller combined with a data-driven subspace-based prediction method greatly enhances the handling performance and provides a more effective technique for both vehicle parameter estimation and handling stabilization.

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