In my last post I suggested that it’s important to consider the impact of a team’s shooting positions on the likelihood of that team scoring goals. Just as teams’ attacking and defensive abilities can be assessed by examining the shots they take and allow, an individual player can be evaluated by the kinds of shots they are converting. Where the majority of a player’s shots come from and whether those shots are on target or goals should be good indicators of the scoring threat posed by that player. Given that the quality of an individual player’s shooting is at issue here, it makes sense to look at players who take a lot of shots, and whose value depends on getting on the scoresheet. This means mostly examining strikers and midfielders tasked with a lot of offensive responsibility. I took a swing at presenting this kind of information for Olivier Giroud, Arsenal’s joint leading scorer.
Luck in Sports
In sports analytics (and statistics in general), a great deal of effort goes into determining which phenomena are random, and which are determined by, or predictive of some other piece of information. When trying to determine the skill level of a team, or their ability in a certain area, you want to know whether statistics in this area are indicative of skill itself, or whether or not they are random, undetermined by a team’s true ability. An example here is turnovers in NFL football. It’s been established that, season to season, the turnover margin of a football team is subject to a great deal of randomness. Thus, teams with lower turnover differentials can be considered to be experiencing “bad luck” and be expected to regress toward average luck in the future (with the reverse holding for high differential teams). In soccer, PDO has been put forth as a stat that is an approximate indicator of a team’s “luck”.