Characterizing patterns of scoring and ties in competitive sports

Jeon, Gyuhyeon; Park, Juyong

doi:10.1016/j.physa.2020.125544

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…Because of the popularity and substantial commercial value of competitive sports, the internet has carried out data statistics on all kinds of basketball matches, given the performance of each team, and ranked the teams. e game followers often evaluate the strength of the group according to the victory and defeat ranking or divide the unity strength according to their own intuition and preferences [1][2][3]. However, because of the different logarithmic strength of the team that has competed and as the score difference between the winner and the loser of each competition has not been considered, the winning rate cannot correctly reflect the strength of the team.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Algorithm for Team Strength Based on the Collected Healthcare Data through IoT and Smart Devices

Qiao¹

2022

Journal of Healthcare Engineering

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In the past, the fans used to evaluate the strength of the team according to the victory and defeat ranking or according to their own intuition and preferences, however, the strength of the team is difficult to measure in analytical figures. The team’s winning rate is not the only factor to be considered to determine the strength of the team. There are many factors to be considered for determining the strength of the team. According to the variation coefficient of basketball scoring frequency, the paper designs the principal model of basketball players’ pitching target system. The data is captured by IoT devices and smart devices. The algorithm sets the number of the frequency of Gabor filter transformation features, controls the error accumulation, extracts the cascade features of basketball score video, constructs the video conversion discrimination rules, detects the basketball target, and obtains the tracking target contour to frame information. Finally, it realizes the target tracking detection of the team based on the team strength using an evaluation algorithm. The aim of this research work is to determine the strength of the team based on the healthcare data, team cohesiveness, and variance coefficient of basketball score frequency. The study on the coefficient of variation for basketball score frequency in teams can provide a theoretical research direction for team strength evaluation and meet the real-time needs of the coefficient of variation of basketball score frequency in teams. The empirical results show that the designed algorithm has the optimal execution time, more successful evaluation targets, high efficiency, and more reliability in evaluating the strength of the team.

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Section: Introductionmentioning

confidence: 99%

Evaluation Algorithm for Team Strength Based on the Collected Healthcare Data through IoT and Smart Devices

Qiao¹

2022

Journal of Healthcare Engineering

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“…In addition, the experts suggested that it would be more relevant if the trend was linked to scoring difference and set period. Accordingly, Jeon and Park [ 84 ] considered performance trends as a consequence of random processes associated with each action. In contrast, Stanimirovic and Hanrahan [ 78 ] found that positive trends in the scoreboard or “momentum” were associated with psychological effects that affect performance.…”

Section: Discussionmentioning

confidence: 99%

In the Opinion of Elite Volleyball Coaches, How Do Contextual Variables Influence Individual Volleyball Performance in Competitions?

López-Serrano

Arroyo

Mon‐López

et al. 2022

Sports

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The main objective was to know the elite coaches’ opinions regarding the relevance, definition, and importance of volleyball contextual variables to measure individual performance in competition. After performing a literature review, an instrument to gather the opinion of the world’s elite volleyball coaches was elaborated by four volleyball specialists. The sample of experts consisted in 20 world’s elite volleyball coaches who met at least three experience years in first division or national teams. The instrument collected experts’ information on the contextual variables in relation to relevance, definition, and importance. Cronbach’s α and Aiken’s V coefficient were used to test the reliability and content validity of the contextual variables, respectively. To compare the importance of the contextual variables U de Mann-Whitney and Kruskal-Wallis tests were used. Results showed that opposition level, set period, score difference, results of the previous set, competitive load variables, high level, final periods ≥20, and high load categories were relevant (Aikens V > 0.70). In addition, high level, final period ≥20 and ≥+10, and high load categories were significantly more important (p < 0.05). We conclude that, according to the elite coaches, the contextual variables should not be analyzed separately. Future studies should consider contextual variables dynamically.

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Information Construction of Sports Tourism in Haikou City under the Background of Internet

Zhang

2022

Wireless Communications and Mobile Computing

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So far, there are few reports on the evaluation and analysis of sports tourism resources in Haikou by the combination of qualitative evaluation and quantitative evaluation. This paper comprehensively uses Delphi method, questionnaire survey method, analytic hierarchy process, mathematical statistics, and other research methods to take Haikou sports tourism resources as the research object. Through the field investigation of Haikou sports tourism resources, this paper comprehensively evaluates Haikou sports tourism resources by combining qualitative and quantitative evaluation methods, in order to improve and innovate the theoretical level of Haikou sports tourism resource evaluation and provide data support and practical basis for the development and utilization of sports tourism resources in Haikou, so as to promote the sustainable and efficient development of sports tourism industry in Haikou. The evaluation results of sports tourism resources in Haikou are divided into four parts: advantages, disadvantages, opportunities, and challenges. It is considered that the advantage of sports tourism resources in Haikou is the scarcity of resources, unique charm, exciting events, and strong appreciation. The disadvantage is that the popularity of sports tourism resources in Haikou is low, and the suitable travel period is short. The opportunity is that the natural environmental conditions and the traditional sports characteristics of ethnic minorities are prominent, the cooperation with surrounding cities in sports tourism is deepened, and the tourist market potential is huge. The threat is that the market competition of homogeneous sports tourism products is fierce, the conditions of sports tourism human resources are poor, the publicity methods are old, and the development of local air transportation is backward.

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Characterizing patterns of scoring and ties in competitive sports

Cited by 3 publications

References 33 publications

Evaluation Algorithm for Team Strength Based on the Collected Healthcare Data through IoT and Smart Devices

Evaluation Algorithm for Team Strength Based on the Collected Healthcare Data through IoT and Smart Devices

In the Opinion of Elite Volleyball Coaches, How Do Contextual Variables Influence Individual Volleyball Performance in Competitions?

Information Construction of Sports Tourism in Haikou City under the Background of Internet

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