国际女子橄球联盟中获胜表现的分类
Georgia A Scott1, Ollie Edwards1, Neil E Bezodis1,2
1Applied Sports Technology Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, Swansea,United Kingdom.
International journal of sports physiology and performance
|August 19, 2023
概括
妇女橄球联盟的相对表现指标,如计数和清洁休息,是比赛成功的关键预测指标. 分析这些指标可以为精英女橄球队的训练和战略提供信息.
科学领域:
- 运动科学 运动科学 运动科学
- 橄球联盟分析分析
- 绩效指标 业绩指标
背景情况:
- 以前的研究表明,相对表现指标 (PI) 在预测男子橄球联盟比赛结果方面比孤立的PI更有效.
- 这种方法在女子橄球联盟中没有得到广泛的应用,这凸显了女性运动员的表现分析中的差距.
研究的目的:
- 确定关键绩效指标 (PI),以最大限度地提高女子橄球联盟比赛结果的预测准确性.
- 用妇女国际橄球数据来比较孤立与相对PI在预测比赛成功方面的有效性.
主要方法:
- 从110场女子国际橄球比赛 (2017-2022) 中提取了26个PI.
- 创建了孤立和相对数据集,相对数据是通过减去反对派PI来计算的.
- 随机森林分类模型用于特征选择,重要性分析和对未见数据 (2021年世界杯) 的预测.
主要成果:
- 孤立模型和相对模型都表现出高的分类准确性,相对模型略高于孤立模型 (78%对75%).
- 减少的模型显示出强大的预测能力,正确分类100%的孤立和96%的相对测试数据结果.
- 相对缩小模型中的关键显著PI包括制造的计数器,干净的断裂,错过的球,丢失的阵容,携带和手上的.
结论:
- 增加的相对尺度,干净的休息,携带,和从手中,以及相对减少的错过的球和失败的阵容,与在女子橄球联盟的比赛成功有很强的关联.
- 这些发现为优化女子橄球队的身体和战术准备提供了宝贵的见解.
- 这项研究支持了相对性能指标在妇女橄球中的有针对性的生理研究中的有用性.
相关概念视频
01:30Classification of Signals
529
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
529
01:02Ranks
261
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
261
01:30Classification of Leukocytes
2.0K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
2.0K
00:59How Data are Classified: Numerical Data
29.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
29.0K
01:22Force Classification
1.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.3K
01:11How Data are Classified: Categorical Data
34.0K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
34.0K