FPL underlying stats GW9 – cumulative expected goals/assists and shot/key pass stats to GW8

Fantasy Premier League, Gameweek analysis

Here’s our FPL underlying stats GW9 article where we present expected goals/assist information as well as shot/key pass stats up to and including GW8. We look at stats for individual players by position and a team defence and attack ranking

FPL underlying stats GW9 – cumulative expected goals/assists and shot/key pass stats to GW8

See also the review of GW8 in isolation

Background

Expected goals is a stat where the probability is evaluated that any given shot will end up as a goal.

Expected goals are based on a number of factors, such as where the shot was taken from and where the opposition defenders are at the time. The shot assumes it is being taken by someone of average ability in the league. To state the obvious , a shot from inside the 6 yard box in front of goal with no defenders around will have a very high probability it will end up as a goal.

In essence it shows you what should have happened rather than what has happened.

The expected goals are now all wholly from the excellent free site understat.com.

Shot and key pass stats are from the excellent free site whoscored.com

Everything is done on the basis of per 90 minutes played rather than per game. That’s so you can see how effective a player is on the pitch.

Methods and Caveats for player rankings

This is just one part of ranking players it’s not the be all and end all. I do a player rankings series which uses more stats than just xG and xA. There’s no filtering here for gametime security or injuries.

Here I have taken the Non penalty xG per 90 minutes (NPxG90) and the xA and converted them into goals and assist points and then ranked them by projected total points as if they were playing over the whole season 90 minutes each game. I haven’t added on appearance points, adjusted for average minutes or bonus points or clean sheets for defenders. It’s purely just the goals and assist points. There was a minimum minutes played of 200 minutes.

Players don’t perform on a straight line with the stats. Some like Hazard and De Bruyne have shown they can over perform. Others like Ramsey have a history of under performing. I have not tried to adjust for this. That’s more for the player rankings articles.

I have tried to pick relevant players. It’s impossible to rank everyone.

This article is very time consuming and laborious and easy to make mistakes so apologies if there is any. Please point out any in the comments section.

Player Stat abbreviations

Value £m: The FPL price at the time of the article. In this case Monday 1st October.

NP xG90: the non penalty expected goals per 90 minutes played

xA90: the expected assists per 90 minutes played

Shts P90: The amount of shots taken per 90 minutes played

KP P90: the amount of key passes played per 90 minutes played

Proj Pts:  I project the FPL points as if the player plays 38 games for 90 minutes.  It’s an easy way to get the right points balance between NPxG and xA and the goals and assists they would produce

VFM ratio:  The ratio of projected points to the value.  It’s a rough value for money calculation.  9.5 is a rough average

Here’s the link to the google spreadsheet




Defenders

Again the players are ordered by projected FPL points that from the NPxG and xA stats to date assuming they played 38 games for 90 minutes. Only attacking stats not clean sheets.

 FPL underlying stats GW9

Midfielders

Again the players are ordered by projected FPL points that from the NPxG and xA stats to date assuming they played 38 games for 90 minutes




 FPL underlying stats GW9

Forwards

Again the players are ordered by projected FPL points that from the NPxG and xA stats to date assuming they played 38 games for 90 minutes

 FPL underlying stats GW9

Team Attack stats

TeamxG goalsActual Goals
Manchester City22.4921
Liverpool16.6615
Bournemouth16.0816
Chelsea15.7218
Tottenham14.7915
Manchester United12.8313
Wolves11.069
Southampton10.616
Watford10.5511
Arsenal10.4119
Everton9.5213
Brighton9.499
Fulham9.419
Leicester9.1414
West Ham8.738
Burnley7.6910
Cardiff7.444
Crystal Palace7.025
Newcastle United5.986
Huddersfield4.754

Team defence

TeamxG concededActual conceded
Manchester City4.03
Liverpool5.93
Wolves6.26
Leicester8.612
Chelsea8.65
Bournemouth9.312
Tottenham9.77
Everton9.812
Arsenal11.010
Manchester United11.014
Watford11.012
Crystal Palace11.69
Newcastle United12.913
Huddersfield13.317
West Ham13.313
Cardiff13.717
Southampton14.014
Burnley14.112
Brighton14.713
Fulham18.021

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