Center for Human Movement Sciences, University of Groningen, University Medical Center Groningen (UMCG), Center for Human Movement Sciences, Groningen, The Netherlands.
Institute of Sports and Preventive Medicine, Saarland University, Institute of Sports and Preventive Medicine, Saarbrücken, Germany.
Sci Med Footb. 2022 Aug;6(3):372-380. doi: 10.1080/24733938.2021.1944660. Epub 2021 Jun 27.
Performance assessment in professional soccer often focusses on notational assessment like assists or pass accuracy. However, rather than statistics, performance is more about making the best possible tactical decision, in the context of aplayer's positional role and the available options at the time. With the current paper, we aim to construct an improved model for the assessment of pass risk and reward across different positional roles, and validate that model by studying differences in decision-making between players with different positional roles.
To achieve our aim, we collected position tracking data from an entire season of Dutch Eredivisie matches, containing 286.151 passes of 336 players. From that data, we derived several features on risk and reward, both for the pass that has been played, as well as for the pass options that were available at the time of passing.
Our findings indicate that we could adequately model risk and reward, outperforming previously published models, and that there were large differences in decision-making between players with different positional roles.
Our model can be used to assess player performance based on what could have happened, rather than solely based on what did happen in amatch.
职业足球中的表现评估通常侧重于记录性评估，如助攻或传球准确率。然而，表现不仅仅是统计学意义上的，而是在球员的位置角色和当时可用的选项的背景下，做出最佳的战术决策。本文旨在构建一个改进的传球风险和回报评估模型，用于不同位置角色，并通过研究不同位置角色球员之间的决策差异来验证该模型。
为了实现我们的目标，我们从整个荷兰甲级联赛赛季的比赛中收集了位置跟踪数据，其中包含了 336 名球员的 286151 次传球。从这些数据中，我们为传球本身以及传球时可用的传球选项，推导出了一些关于风险和回报的特征。
我们的研究结果表明，我们可以充分地对风险和回报进行建模，表现优于之前发表的模型，并且不同位置角色的球员在决策上存在很大差异。
我们的模型可以用来评估球员表现，不仅基于比赛中实际发生的情况，还可以基于可能发生的情况。
