Not All Passes Are Created Equal:" Objectively Measuring The Risk and Reward of Passes in Soccer from Tracking Data"
published: Oct. 9, 2017, recorded: August 2017, views: 1033
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !