Spencer Bartholomew, Jackson Karl, Bedin Timothy, Robertson Sam
Institute for Health & Sport, Victoria University, Melbourne, VIC, Australia.
Champion Data, Pty Ltd., Melbourne, VIC, Australia.
Front Psychol. 2019 Aug 2;10:1777. doi: 10.3389/fpsyg.2019.01777. eCollection 2019.
The value of player decisions has typically been measured by changes in possession expectations, rather than relative to the value of a player's alternative options. This study presents a mathematical approach to the measurement of passing decisions of Australian Rules footballers that considers the risk and reward of passing options. A new method for quantifying a player's spatial influence is demonstrated through a process called commitment modeling, in which the bounds and density of a player's motion model are fit on empirical commitment to contests, producing a continuous representation of a team's spatial ownership. This process involves combining the probability density functions of contests that a player committed to, and those they did not. Spatiotemporal player tracking data was collected for AFL matches played at a single stadium in the 2017 and 2018 seasons. It was discovered that the probability of a player committing to a contest decreases as a function of their velocity and of the ball's time-to-point. Furthermore, the peak density of player commitment probabilities is at a greater distance in front of a player the faster they are moving, while their ability to participate in contests requiring re-orientation diminishes at higher velocities. Analysis of passing decisions revealed that, for passes resulting in a mark, opposition pressure is bimodal, with peaks at spatial dominance equivalent to no pressure and to a one-on-one contest. Density of passing distance peaks at 17.3 m, marginally longer than the minimum distance of a legal mark (15 m). Conversely, the model presented in this study identifies long-range options as have higher associated decision-making values, however a lack of passes in these ranges may be indicative of differing tactical behavior or a difficulty in identifying long-range options.
球员决策的价值通常是通过控球期望的变化来衡量的,而不是相对于球员其他选择的价值。本研究提出了一种数学方法来衡量澳式足球运动员的传球决策,该方法考虑了传球选择的风险和回报。一种量化球员空间影响力的新方法通过一个称为“投入建模”的过程得以展示,在这个过程中,球员运动模型的边界和密度根据对比赛的实际投入进行拟合,从而生成球队空间所有权的连续表示。这个过程涉及将球员参与的比赛和未参与的比赛的概率密度函数结合起来。收集了2017年和2018赛季在一个体育场举行的澳式橄榄球联盟(AFL)比赛的时空球员追踪数据。研究发现,球员参与比赛的概率会随着他们的速度和球到达某点的时间而降低。此外,球员投入概率的峰值密度在球员前方的距离随着他们移动速度的加快而增大,而他们参与需要重新定向的比赛的能力在较高速度下会减弱。对传球决策的分析表明,对于导致争球的传球,对手压力呈双峰分布,峰值出现在与无压力和一对一比赛相当的空间优势处。传球距离的密度峰值在17.3米处,略长于合法争球的最小距离(15米)。相反,本研究提出的模型表明长传选项具有更高的相关决策价值,然而这些范围内传球的缺乏可能表明战术行为的差异或识别长传选项的困难。