Our expected goals added metric allows us to compare two stat lines, even if the players play different positions. The idea is to normalize different plays to get to a standard view of how many equivalent goals a player generated.
This table shows the cumulative season totals for the top 100 players to give a view of who is having the most productive season. We have included the primary role for each player so you can get a sense for how the role they play on their team. The primary role is calculated based on the percentage of a player’s value that comes from draws vs offensive plays vs defensive plays. I have also put together a detailed post to explain how this classification works.
The rankings below are, by default, sorted by total EGA. That is, the total amount of value a player has produced for the season, across all play types. I have also separated out the offensive-only EGA, which accumulates the offensive value each player has produced. So if an attackman causes a turnover, that contribution would be captured in the total value but not in the offensive EGA column.
The basic philosophy here is that we want to rank based on the cumulative contribution. But we also don’t want to lose sight of the fact that some players contribute by being well-rounded while some are more laser-focused on a given role. By splitting out the value numbers, we can shed some light on just how each player does what they do.
Our expected goals added metric allows us to compare two stat lines, even if the players play different positions. The idea is to normalize different plays to get to a standard view of how many equivalent goals a player generated.
This table shows the cumulative season totals for the top 100 players to give a view of who is having the most productive season. We have included the primary role for each player so you can get a sense for how the role they play on their team. The primary role is calculated based on the percentage of a player’s value that comes from draws vs offensive plays vs defensive plays. I have also put together a detailed post to explain how this classification works.
The rankings below are, by default, sorted by total EGA. That is, the total amount of value a player has produced for the season, across all play types. I have also separated out the offensive-only EGA, which accumulates the offensive value each player has produced. So if an attackman causes a turnover, that contribution would be captured in the total value but not in the offensive EGA column.
The basic philosophy here is that we want to rank based on the cumulative contribution. But we also don’t want to lose sight of the fact that some players contribute by being well-rounded while some are more laser-focused on a given role. By splitting out the value numbers, we can shed some light on just how each player does what they do.
