This article is a continuation of the data analysis series between Matt Dorman and I on finding Team GB’s 18-person squad using data. With last week’s announcement on the Tokyo Olympics being postponed, we will continue this series to find the squad that could have flown to Japan to compete. Each article will be split by position, and alongside Matt Dorman, the wide forwards, wide defenders, and central defenders have been completed previously. This analysis will look at the data on the goalkeepers and find the statistically best two goalkeepers. Through data analysis, we will examine and analyse the different players in each position to see which players should be picked as part of the 18-player squad.
To remind everyone Matt Dorman and I have applied a few key parameters to keep the overall analysis consistent and fair. The 18-player squad will consist of: two goalkeepers, three full-backs, three central defenders, two holding midfielders, three attacking midfielders, three wide forwards or wingers, and two strikers. We will assume Neville will utilise the 4-2-3-1 system he applies with the Lionesses, where the style of play and tactics revolves around quick interchanges of play with an emphasis on the wide areas for supply and service. Our squad picks have been based on two parameters:
Players have played 450+ minutes this season
Currently, playing in the top tier of their domestic leagues.
Using the prerequisites above, the players we have chosen to be part of this data analysis are Ellie Roebuck (Manchester City Women), Carly Telford (Chelsea Women), and Mary Earps (Manchester United Women). To improve the sample size and comparison data, I will be including the 2018/19 data of goalkeeper Karen Bardsley. The Manchester City backup goalkeeper has yet to register any meaningful minutes so far this campaign and thus cannot be considered for final selection. However, being a core fundamental part of England’s World Cup squad in 2018, it makes sense to include her data to see how the others stack up against her.
What kind of goalkeeper are we looking for?
Part of the objective of this data analysis is to find the most suited goalkeepers that should be part of Team GB’s squad. After analysing footage of the Lionesses recent games at the She Believes Cup, I noticed a few key factors that will help us decide the type of goalkeeper needed.
- Sweeper keeper: The chosen goalkeeper will need to be able to play a sweeper-keeper role proficiently. This is because England’s defensive line prefer to sit slightly higher and try to dominate the ball with their adept ball-playing centre-backs and technically proficient midfielders. Many a time the opposition will look to play passes over the top and get in behind leaving the keeper to anticipate expertly.
- Commanding Presence: A few of the goals the team have conceded have come off the back of set-pieces where at times the defence were to blame for the goal. However, there were moments where the goalkeeper could have come out to claim some of these deliveries with more conviction or better timing.
- 1v1 battles: As I’ve mentioned, with England’s backline slightly higher, this inevitably invites opportunities when the goalkeeper will be left in a 1v1 situation against an opposition striker meaning their ability to control and manoeuvre the trajectory of the striker and close off shooting angles will be a key metric in making saves.
- Shot Stopping: Some teams will look to take shots from the edge of the penalty area or closer in the box which will require good reflexes and anticipation.
What metrics are we using?
The following data metrics will be used to try to find the different attributes from the above section. We have derived that we need a sweeper-keeper that has a mixture of shot-stopping and command of their area, which means they are able to come flying off their line to claim crosses and set-pieces. Being able to judge when to come out in 1v1 situations especially in counter-attacks is vital.
To start with, we will look at conceded goals vs Expected conceded goals (xCG). This will tell us how many goals the goalkeepers concede as against the expected goals conceded per 90 minutes. While this gives us an image of the goalkeeper it could also be attributed to the defence in front of them. We won’t be using this as a core statistic but rather a supporting element to see how the player has been performing this season.
To find the best shot-stopper, we’ll be looking at the number shots saved versus the number shots against per 90 minutes. The conversion will give us a better indication of the goalkeepers’ shot-stopping ability and let us know how agile and reactive they are to shots on goal.
Another important aspect of the type of goalkeeper we need is their command of the area and ability to come off their line to claim crosses and deliveries from set-pieces. For this we will be looking at exits. This will help determine their capabilities as sweeper-keepers and if they are able to claim balls that are crossed in.
Lastly, we need to look at the goalkeepers’ distribution and how successful they are. We want to look received passes to understand how much the goalkeeper is used as part of the build-up.
Average Conceded goals vs Expected conceded goals (xCG)
Exits
Average Saves vs Averages shots against
