GW15 — GW21
💚 5+ full days recovery between matches
💚 4 days
💛 3 days 😳
❤️ 2 days🥴
❤️ 1 day 🥵
#FixtureCrushMatrix
#WeAreHere #FPL #GW15
GW15 — GW21
💚 5+ full days recovery between matches
💚 4 days
💛 3 days 😳
❤️ 2 days🥴
❤️ 1 day 🥵
#FixtureCrushMatrix
#WeAreHere #FPL #GW15
Sharp market projections for the midweek PL fixtures: goals & CS%, teams to target and WDL odds 👇
Sharp market projections for the midweek PL fixtures: goals & CS%, teams to target and WDL odds 👇
Early days, but one to keep an eye on! 👇
Early days, but one to keep an eye on! 👇
His high line + pressing style generally created more DEFCON chances for opponents than for his own players 👇
His high line + pressing style generally created more DEFCON chances for opponents than for his own players 👇
Players move like chess pieces, so figure out how the goals in today's soccer match were scored. We've created a virtual league with seasons that run for a month:
kickoffleague.com
Here's a thread with some tidbits to whet your appetite to give @fplpricey.bsky.social & my show a listen/watch (see pinned post), with my data tables and select comments.
Data is a homebrew using various factors to create an index.
🧵⤵️
Here's a thread with some tidbits to whet your appetite to give @fplpricey.bsky.social & my show a listen/watch (see pinned post), with my data tables and select comments.
Data is a homebrew using various factors to create an index.
🧵⤵️
- Chance of a defender to get to 10 CBIT in #FPL - RT appreciated
All data from @ffscoutfpl.bsky.social
I will post a few plots with a brief description.
1. DC (DEFCON) points per 90 from 24-25 season vs Expected DEFCON points (2*xDC) per 90
- Chance of a defender to get to 10 CBIT in #FPL - RT appreciated
All data from @ffscoutfpl.bsky.social
I will post a few plots with a brief description.
1. DC (DEFCON) points per 90 from 24-25 season vs Expected DEFCON points (2*xDC) per 90
Hopefully useful for decision making based on risk appetite.
EV data is shared with permission from @fplreview.com's Massive Data Model. Thank you! EO is based on ownership at the end of GW37, so bear in mind popular transfers and potential captaincy.
Hopefully useful for decision making based on risk appetite.
EV data is shared with permission from @fplreview.com's Massive Data Model. Thank you! EO is based on ownership at the end of GW37, so bear in mind popular transfers and potential captaincy.
GW31: Brentford & West Ham lead (mean ~9.5)
GW32: Palace and Newcastle top the chart (~13 & 12.5 resp.)
GW33: Arsenal are clear (~15.5 points)
Data: 100k sims based on @elevenify.com team ratings
GW31: Brentford & West Ham lead (mean ~9.5)
GW32: Palace and Newcastle top the chart (~13 & 12.5 resp.)
GW33: Arsenal are clear (~15.5 points)
Data: 100k sims based on @elevenify.com team ratings
First look at market projections for the upcoming weekend round of PL fixtures, covering:
🔹 projected goals & clean sheet odds
🔹 teams to target
🔹 #FPL assistant manager projections
🔹 WDL odds
First look at market projections for the upcoming weekend round of PL fixtures, covering:
🔹 projected goals & clean sheet odds
🔹 teams to target
🔹 #FPL assistant manager projections
🔹 WDL odds
Final pre-deadline look at market numbers for:
🔹 projected goals and CS odds
🔸 top 40 projected scorers
🔹 WDL odds
Final pre-deadline look at market numbers for:
🔹 projected goals and CS odds
🔸 top 40 projected scorers
🔹 WDL odds
Likely = over 80% chance
Fairly likely = 30-60% chance
Unlikely = 1-30% chance
Likely = over 80% chance
Fairly likely = 30-60% chance
Unlikely = 1-30% chance
Final pre-deadline match projections (including #FPL assistant manager points), via spread betting markets 👇
Final pre-deadline match projections (including #FPL assistant manager points), via spread betting markets 👇
@theathleticfc.bsky.social
www.nytimes.com/athletic/576...
@theathleticfc.bsky.social
www.nytimes.com/athletic/576...