Centre for Data Analytics, Bond Business School, Bond University, Gold Coast, Queensland, Australia.
Faculty of Health Sciences & Medicine, Bond University, Gold Coast, Queensland, Australia.
PeerJ. 2023 Mar 13;11:e14946. doi: 10.7717/peerj.14946. eCollection 2023.
The first women's Australian football (AF) professional competition was established in 2017, resulting in advancement in performance analysis capabilities within the sport. Given the specific constraints of women's AF, it is currently unclear what match-play performance analysis methods and techniques are implemented. Therefore, the aim of this scoping review was to describe and critically appraise physical, technical, and tactical performance analysis methods that have been employed in women's and girls' AF match-play.
A systematic search was conducted on the 27th of June 2022 through five databases. Eligibility criteria were derived from the PCC framework with the population (P) of women and girls AF players, of any level of play; concepts (C) of interest which were measures, data, and methods related to the sport's physical, technical, and tactical performance; and the context (C) of methods that analysed any match-play performance. A narrative synthesis was conducted using extracted study characteristic data such as sample size, population, time period, collection standards, evaluation metrics for results, and application of thematic categorisations of previous sports performance reviews. Critical appraisal of eligible studies' methodologies was conducted to investigate research quality and identify methodological issues.
From 183 studies screened, twelve eligible studies were included, which examined match-play through physical (9/12, 75%), technical (4/12, 33%), and tactical analysis (2/12, 17%). Running demands and game actions analysis were the most researched in senior women's AF. Research into junior girls' AF match-play performance has not been investigated. No research has been conducted on non-running physical demands, contact demands, acceleration, and tactical aspects of women's AF. All studies utilised either inferential statistics or basic predictive models. Critical appraisal deemed most studies as low risk of bias (11/12, 92%), with the remaining study having satisfactory risk.
Future research utilising increased longitudinal and greater contextual data is needed to combat the prominent issue of data representativeness to better characterise performance within women's and girls' AF. Additionally, research involving junior and sub-elite AF players across the talent pathways is important to conduct, as it provides greater context and insight regarding development to support the evolving elite women's AF competition. Women's AF has been constrained by its resource environment. As such, suggestions are provided for better utilisation of existing data, as well as for the creation of new data for appropriate future research. Greater data generation enables the use of detailed machine learning predictions, neural networks, and network analysis to better represent the intertwined nature of match-play performance from technical, physical, and tactical data.
2017 年，澳大利亚女子足球（AF）首个职业联赛成立，这使得该运动的表现分析能力得到提升。鉴于女子 AF 的特殊限制，目前尚不清楚实施了哪些比赛表现分析方法和技术。因此，本研究旨在描述和批判性评估已应用于女子和女孩 AF 比赛中的身体、技术和战术表现分析方法。
2022 年 6 月 27 日，通过五个数据库进行了系统搜索。纳入标准源自 PCC 框架，即人口（P）为任何比赛水平的女子和女孩 AF 运动员；概念（C）为与运动的身体、技术和战术表现相关的测量、数据和方法；方法的背景（C）为分析任何比赛表现的方法。使用提取的研究特征数据（如样本量、人群、时间段、收集标准、结果评估指标以及以前体育表现综述的主题分类应用）进行叙述性综合。对合格研究的方法进行批判性评估，以调查研究质量并确定方法问题。
从筛选出的 183 项研究中，有 12 项合格研究被纳入，这些研究通过身体（9/12，75%）、技术（4/12，33%）和战术分析（2/12，17%）来检查比赛表现。高级女子 AF 中研究最多的是跑动需求和比赛动作分析。对初级女孩 AF 比赛表现的研究尚未进行。没有研究涉及女子 AF 的非跑动身体需求、接触需求、加速和战术方面。所有研究都使用了推断统计或基本预测模型。批判性评估认为，大多数研究的偏倚风险较低（11/12，92%），其余研究的偏倚风险令人满意。
需要利用更多的纵向和更广泛的背景数据进行未来研究，以解决数据代表性突出的问题，从而更好地描述女子和女孩 AF 中的表现。此外，对各级 AF 运动员进行涉及青少年和次精英运动员的研究也很重要，因为这可以为发展提供更多的背景和洞察力，以支持不断发展的精英女子 AF 比赛。女子 AF 受到资源环境的限制。因此，提供了更好地利用现有数据的建议，以及为适当的未来研究创建新数据的建议。更多的数据生成使详细的机器学习预测、神经网络和网络分析得以应用，从而更好地代表从技术、物理和战术数据中体现比赛表现的交织性质。
