考虑球员位置期望进球的足球射门事件预测

Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, M. Haseyama
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引用次数: 0

摘要

提出了一种基于球员位置考虑期望进球的足球射门事件预测方法。为了量化球员和球队的表现,近年来已经提出了各种基于射门事件机会的足球分析方法。在足球运动中,由于球员在足球中的位置相对于球场的变化不大,因此很难直接将球员的跟踪数据即球员的位置引入射门事件预测模型中。我们通过根据球员的重要性来估计场上位置的预期进球来解决这个问题。在本文的最后,我们通过实际足球视频的实验验证了我们方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shoot Event Prediction in Soccer Considering Expected Goals Based on Players’ Positions
This paper presents a method for shoot event prediction in soccer considering expected goals based on the players’ positions. To quantify players’ and teams’ performance, various ways based on the chance of shoot events have been proposed in recent years for soccer analytics. In soccer, since the players’ positions in soccer change little with respect to the soccer court, it can be difficult to directly introduce the tracking data of players, that is, players’ positions, into the shoot event prediction model. We tackle this problem with expected goals estimated from the field position as the player’s importance. At the end of this paper, we confirm the effectiveness of our method through experiments using actual soccer videos.
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