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Not All Passes Are Created Equal:Not All Passes Are Created Equal: |
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| 课程网址: | http://videolectures.net/kdd2017_power_tracking_data/ |
| 主讲教师: | Paul Power |
| 开课单位: | 信息不详。欢迎您在右侧留言补充。 |
| 开课时间: | 2017-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In soccer, the most frequent event that occurs is a pass. For a trained eye, there are a myriad of adjectives which could describe this event (e.g., “majestic pass”, “conservative” to “poor-ball”). However, as these events are needed to be coded live and in real-time (most often by human annotators), the current method of grading passes is restricted to the binary labels 0 (unsuccessful) or 1 (successful). Obviously, this is sub-optimal because the quality of a pass needs to be measured on a continuous spectrum (i.e., 0 → 100%) and not a binary value. Additionally, a pass can be measured across multiple dimensions, namely: i)risk –the likelihood of executing a pass in a given situation, and ii)reward –the likelihood of a pass creating a chance. In this paper, we show how we estimate both the risk and reward of a pass across two seasons of tracking data captured from a recent professional soccer league with state-of the-art performance, then show case various use cases of our deployed passing system. |
| 关 键 词: | 跟踪数据; 数据挖掘; 计算机科学 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-12-25：wujk |
| 最后编审: | 2023-12-25：wujk |
| 阅读次数: | 13 |