Ole André Nordahl, Jongwon Kim, Nic James, Ungho Gwon, Nimai Parmar, Scott Nicholls, G. Vuckovic
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Video recordings and synchronised Amisco 2D representations of goals (n=64) scored in Swansea City AFC English Premier League 2012/2013 matches (n=20) were analysed using Dartfish v10 Pro software. Each goal was analysed from when the play was judged to be stable (no obvious goal scoring opportunity), or the start of possession, until the goal had been scored. Goals were not always preceded by high goal threat values (maximum goal threat values ranged from 13.4 to 99.0). The authors independently subjectively determined that perturbations occurred up to 7 seconds from when the goal threat value increased by at least 40%. Thus, perturbations were not directly related to goal scoring opportunities. 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引用次数: 0
摘要
足球比赛中的进球数相对较少,但却非常重要,因此研究人员通过预期进球数等指标来考虑进球是如何产生和取得的。动力系统理论认为,足球等集体系统存在两种状态:稳定(两队均无实质性优势)或不稳定(存在优势)。因此,当系统变得不稳定时,就会发生进球事件,而 "扰动 "就是导致系统状态改变的事件。在这里,利用球员和球的 XY 坐标计算出每秒的 "进球威胁 "值(从 0 到 100),并根据与球门的距离(系统不稳定程度的潜在代表)进行加权。使用 Dartfish v10 Pro 软件分析了斯旺西城足球俱乐部 2012/2013 年英格兰足球超级联赛(Swansea City AFC English Premier League 2012/2013)比赛中进球(64 个)的视频记录和同步 Amisco 2D 表示(20 个)。对每个进球的分析都是从比赛被判定为稳定(没有明显的进球机会)或开始控球开始,直到进球为止。进球前的威胁值并不总是很高(最大威胁值从 13.4 到 99.0 不等)。作者独立地主观判定,从进球威胁值增加至少 40% 起的 7 秒内发生扰动。因此,扰动与进球机会没有直接关系。这种新方法提供了一种有用的、可量化的、简单的球门威胁测量方法,也有助于观众参与和测量防守效果。
EVALUATING GOAL THREAT IN FOOTBALL USING PLAYER AND BALL LOCATIONS
Goal scoring in football is relatively low but vitally important, hence research has considered how goals are created and scored with measures such as expected goals prevalent. The dynamical systems theoretical perspective, considers a collective system, such as football, as existing in two states, stable (no substantive advantage for either team) or unstable (advantage present). Hence, goal scoring events occur when the system has become unstable, with a “perturbation” the event causing the system state change. Here, a “goal threat” value was calculated every second (scaled from 0 to 100) using the XY coordinates of players and the ball, weighted in relation to proximity to the goal (a potential proxy for the degree of system instability). Video recordings and synchronised Amisco 2D representations of goals (n=64) scored in Swansea City AFC English Premier League 2012/2013 matches (n=20) were analysed using Dartfish v10 Pro software. Each goal was analysed from when the play was judged to be stable (no obvious goal scoring opportunity), or the start of possession, until the goal had been scored. Goals were not always preceded by high goal threat values (maximum goal threat values ranged from 13.4 to 99.0). The authors independently subjectively determined that perturbations occurred up to 7 seconds from when the goal threat value increased by at least 40%. Thus, perturbations were not directly related to goal scoring opportunities. This novel method provides a useful, quantifiable, and simple measure of goal threat that may also aid audience engagement and measure defensive effectiveness.