Effective results per player

You know that situation when you leave the pitch when your team is winning 2-1? At the end of the 90 minutes the rival have turned everything around and won 2-3.  Stubborn as you are you tell your manager and teammates that you DID win the game, having left the field in a winning situation.

Taking those situations into account we can calculate the effectivity of each player in his team. I did this for the Argentine Primera División. Starting simple, this is the general table of players:

The result per game is calculated over the time a certain player is on the pitch. If he enters the field with his team winning 2-0 and his team ends up winning only 2-1, the netto result for the player is a loss (0-1). This is the list of the 20 "best" players in the Argentine Primera Division 2015 (until gameday 26)
The result per game is calculated over the time a certain player is on the pitch. If he enters the field with his team winning 2-0 and his team ends up winning only 2-1, the netto result for the player is a loss (0-1). This is the list of the 20 “best” players in the Argentine Primera Division 2015 (until game day 26)

Players that have not lost a single game taking the result over the time they were on the pitch:

 

Same logic as before: players that have not lost a single game, ordered by minutes played
Same logic as before: players that have not lost a single game, ordered by minutes played. Roles, 1 = goal keeper, 2 = defender, 3 = midfielder and 4 = attacker

Players that have not won a single game taking the result over the time they were on the pitch:

Same logic as before: players that have not win a single game, ordered by minutes played
Same logic as before: players that have not win a single game, ordered by minutes played

Players (minimum 10 games) with the highest average of points per game they were on the pitch  taking the result over the time they were on the pitch:

Same logic as before: the top-10 players for points won per game (minimum 10 games)
Same logic as before: the top-10 players for points won per game (minimum 10 games)

Players (minimum 10 games) with the lowest average of points per game they were on the pitch  taking the result over the time they were on the pitch:

And the bottom 10 for points per game
And the bottom 10 for points per game

Defenders and goalkeepers (minimum of 10 games) with the lowest average of goals received (average per 90 minutes) when on the pitch:

Goals received per 90 minutes (best 10 defenders/goalkeepers)
Goals received per 90 minutes (best 10 defenders/goalkeepers)
Effectiveness

We can more or less calculate what influence a player has on his team by taking the difference between his personal average goal difference per game and the average goal difference of the team when that player is not on the field. Those are the top players (minimum 8 and maximum 20 games):

Taking the difference between goal difference when the player is on the pitch and not on the pitch for a team (averaged per 90 minutes)
Taking the difference between goal difference when the player is on the pitch and not on the pitch for a team (averaged per 90 minutes)

Obviously opponent strength should be taken into account, and there are other factors as well. But this is start.

Note: all data comes from DataFactory

 

 

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