The sports domain presents a number of significant computational challenges for artificial intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that have been applied to the challenges within team sports thus far. We focus on a number of different areas, namely match outcome prediction, tactical decision making, player investments, fantasy sports, and injury prediction. By assessing the work in these areas, we explore how AI is used to predict match outcomes and to help sports teams improve their strategic and tactical decision making. In particular, we describe the main directions in which research efforts have been focused to date. This highlights not only a number of strengths but also weaknesses of the models and techniques that have been employed. Finally, we discuss the research questions that exist in order to further the use of AI and ML in team sports.

中文翻译：

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团队运动的人工智能：一项调查

体育领域对人工智能 (AI) 和机器学习 (ML) 提出了许多重大的计算挑战。在本文中，我们探讨了迄今为止已应用于团队运动挑战的技术。我们专注于多个不同领域，即比赛结果预测、战术决策、球员投资、梦幻运动和伤病预测。通过评估这些领域的工作，我们探索了人工智能如何用于预测比赛结果并帮助运动队改进他们的战略和战术决策。特别是，我们描述了迄今为止研究工作的主要方向。这不仅突出了已采用的模型和技术的许多优点，而且也突出了缺点。最后，