What are some of the potential ethical implications of using predictive analytics like xG in football, such as in player performance evaluations or betting markets?

Dec 5, 2024 ... Expected goals. We have been discussing its use for years in the data analytics space, not only in football of course, but also in spaces ... That means a goalkeeper would only be expected to save it 3% of the time. May be an image of 3 people, people playing football, people playing soccer,. Feb 8, 2019 ... Expected goals (xG) measures the quality of a shot based on several variables such as assist type, shot angle and distance from goal. Apr 14, 2020 ... One of the most important features to fit a xG model is the shot position inside the field (e.g. X,Y coordinates), wherewith it is possible to ... Top Teams for xG · Previous Next · #1. Famalicão. 15.57xG · #2. SL Benfica W. 6.71xG · #3. South Korea U20. 5.64xG · #4. Paide. 5.16xG · #5. Grindavík Women. Apr 16, 2023 ... With the uprising of statistics in football and the creation of ever-evolving expected goals (xG) models, we have seen a steady transition ... Dec 7, 2023 ... What do you think? I don't see the value of 'expected' anything in football. Unexpected results happen all the time, VAR can intervene, etc. Apr 11, 2021 ... Dipping my toes in football analytics as a 20 year old Economics undergraduate meant I had no access or understanding to the tools and ... Expected goals (xG) is the new revolutionary football metric, which allows you to evaluate team and player performance. Mar 31, 2021 ... For those unaware of what xG is, I'll try to simplify it. xG, or 'Expected Goals' was invented by Englishman Sam Green, who first described the ...