He/him; May have coined the term “Grass FC”😜; FPL last 5 seasons 6k, 4k, 19k, 51k, 23k; UCL 20/21 329; MUFC fan; FPL, vFPL; Use fbref, FFscout for data
What don’t you like? Where is the compromise to get all those premiums?
What don’t you like? Where is the compromise to get all those premiums?
- DC points per 90 from last season vs xDC points calculated by my method. This shows a reasonable correlation.
- DC points per 90 from last season vs xDC points calculated by my method. This shows a reasonable correlation.
- Converted NpxG, xA, xDC, xCS into points potential. Y-axis has minutes per appearance. Marker size gives bonus points potential.
- Converted NpxG, xA, xDC, xCS into points potential. Y-axis has minutes per appearance. Marker size gives bonus points potential.
- Chance of a midfielder to get to 12 CBITR in #FPL - RT appreciated
All data from @ffscoutfpl.bsky.social
I will post a few plots with a brief description.
1. Who are the best midfielders for both attacking and defending returns?
- Chance of a midfielder to get to 12 CBITR in #FPL - RT appreciated
All data from @ffscoutfpl.bsky.social
I will post a few plots with a brief description.
1. Who are the best midfielders for both attacking and defending returns?
- Now you can see why Anderson from Forest is popular
- Defenders look much better than attackers in this price range
- Now you can see why Anderson from Forest is popular
- Defenders look much better than attackers in this price range
- Taken out Amad, McNeil, and Murphy as their points were more than 5.4. Mins tricky to guess for all of them anyway.
- Defenders now look good when you consider mins for them.
- Taken out Amad, McNeil, and Murphy as their points were more than 5.4. Mins tricky to guess for all of them anyway.
- Defenders now look good when you consider mins for them.
- Midfielders and forwards still dominate, if you can predict their minutes right and target nailed attackers
- Midfielders and forwards still dominate, if you can predict their minutes right and target nailed attackers
Looked at the revised points, adding the defensive points contributions from @ffscoutfpl.bsky.social. New points per 90mins vs Minutes per game. Various price ranges analyzed separately.
1. All players
Looked at the revised points, adding the defensive points contributions from @ffscoutfpl.bsky.social. New points per 90mins vs Minutes per game. Various price ranges analyzed separately.
1. All players
- Very simple analysis really
- Not many cheap forwards in the game
- 6.5-7.5m have a lot of options. Go with strikers you think are nailed and have pens
- Very simple analysis really
- Not many cheap forwards in the game
- 6.5-7.5m have a lot of options. Go with strikers you think are nailed and have pens
- After my initial analysis, I am coming to a conclusion that there are a lot of good defenders in the game. Pick the teams with great fixtrues for CS and then get good defenders form those teams.
- After my initial analysis, I am coming to a conclusion that there are a lot of good defenders in the game. Pick the teams with great fixtrues for CS and then get good defenders form those teams.
I have taken @ffscoutfpl.bsky.social data and converted everything into NPxPts. This consists of expected goals, assists, clean sheets, and DEFCON points.
1. Midfielders
I have taken @ffscoutfpl.bsky.social data and converted everything into NPxPts. This consists of expected goals, assists, clean sheets, and DEFCON points.
1. Midfielders
x-axis: Expected points from CS, goals, assists, and DC
y-axis: Minutes played per game
x-axis: Expected points from CS, goals, assists, and DC
y-axis: Minutes played per game