What is a ShotQuality Score?

A ShotQuality score shows the expected outcome of a game and can be used to make more accurate evaluations of team and player performance.

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ShotQuality calculates the expected value of every shot taken by every player on the court through the use of Computer Vision and AI. After a game is completed, the scores for every shot in the game are added together to get the expected total of the game itself. Essentially, The ShotQuality Score shows the outcome of a game had each player played to their individual ability, adjusting for game situations such as heavily contested shots and deep shots, as well as knowing where players tend to succeed or struggle.
 
🔥 When the ShotQuality Score is lower than the actual in-game score, that means the team or player shot better than expected, they out performed their ShotQuality 
 
🥶 When the ShotQuality Score is higher than the actual in-game score, that means the team or player did not perform as well as their ShotQuality expectations.
 
ShotQuality Scores are highly predictive and very accurate, but they are not exactly right every time, nor are they meant to be. ShotQuality uses on-court positioning data and advanced player knowledge to create the most likely, or median, scenario based on the shots taken.

For example, if you take one mid range jump shot, you can score 0 or 2 points, but your ShotQuality might very well be 1 point. This is because SQ simulates the average value of the shot thousands of times to understand how many points, on average, a specific player adds to the score with that shot. 

ShotQuality Scores have proved to be a valuable data point to accompany real performance, as they provide context rather than leaving basketball fans and analysts, alike, with just the final result and box score- which often does not tell the whole story by itself.