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FPL Research @FPL_Research

Using data, odds and statistical methods to analyse FPL. Now tweeting under my old handle, @FPLresearch, again.

Joined July 2019
  • Tweets 103
  • Following 191
  • Followers 492
11 Photos and videos
FPL Research retweeted
FPL Review
@fplreview
21 Aug 2019
How much should we read into form? Using 2018/19 Premier League goalscorer data, post-match xG and pre-match odds I analyse what we can determine from 5GW goalscoring form and how predictive it is compared to match difficulty fplreview.com/2019/08/form-v… #FPL #FPLCommunity
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The Elite 250 average 131 points overall for a median position of 480K. They netted a mean 47.1 points in GW2. How do you compare overall?
29% 137 or more points
45% 126-136 points
26% 125 or less points
82 votes • Final results
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FPL Research retweeted
FPL Review
@fplreview
18 Aug 2019
For those panicking already here's a graph I produced based on the data from a sample of 4000 teams last year This is comparing the standard deviation of luck against that of skill (based on odds&xG data). Note in GW2 were still in high distortion territory #FPL #FPLCommunity
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📊 Elite 250 Picks 📊 Overall, top managers averaged only 0.16 transfers for GW2, with most opting to save their FT. The most popular player to move on was Moura (-5.6 %), while Pukki was the most common buy ( 2.8 %). Full spreadsheet: docs.google.com/spreadsheets…
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[2/3] The Elite 250 mainly opted for Salah (77.6 %) as their captain, with a few also picking Sterling (16.4 %) and Auba (4.8 %). Sterling (45.3 %) was a more popular pick than Salah (26.5 %) in the top 10K, likely because many of them successfully captained Sterling in GW1.
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[3/3] 4-4-2 was the most used formation (59.2 %). The mean formation was 3.8-4.1-2.1. 4.8 % opted for a back five, with only 13.2 % sticking to the traditional 3-4-3. As the season progresses and people start using their WC, I expect the back 3 to gain in popularity though.
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📊 Elite 250 Picks 📊 Earlier this summer, I published an FPL skill rating list. I've collected data on the picks of the 250 most highly rated managers. The tables below show the ten most popular picks in each position. Full spreadsheet: docs.google.com/spreadsheets…
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more replies
Some of the managers in the sample include: @seantobin2, @FFScout_Mark, @matthewpenycae, @ffh_will, @ahopcroft13, Ville Rönkä, @J_Owens, @FFScout_Joe.
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Finally found @rogue_wee in my sample! Criminal oversight. 😅
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FPL Research retweeted
FPL Review
@fplreview
13 Aug 2019
The popularity of 'Bob scored 5 goals in his last 4 games against Team X' stats is bewildering Ran a 10 game trial analysis for a player with an mean xG of a 0.7 ~20%: 0-4 goals ~20%: 10 goals ~60%: 5-9 goals Beware of reading into small sample sizes #FPLCommunity #FPL
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FPL Research retweeted
FPL Review
@fplreview
11 Aug 2019
A plot which indicates how obsessed FPL managers who created the first ~250k teams (left side of graph) performed better based on FPL points, pre-match odds xPts and post-match xG xPts Also worth noting the average team overperformed by ~15pts this GW #FPL #FPLCommunity
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Which Liverpool full-back do you prefer starting the season with, TAA or Robertson?
46% Robertson
54% TAA
37 votes • Final results
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FPL Research retweeted
FPL Review
@fplreview
5 Aug 2019
🚨FPL Review is back live for the 19/20 season🚨 fplreview.com/team-planner There are several new features: - New user friendly pitch interface - Optimisation & Transfer Suggestor Toolset - Algo fine tuning - Membership features #FPL #FPLCommunity
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FPL Research retweeted
FFPortal@FFPortal
23 Jul 2019
FPL & VAR: Debunking the myth that we will not see significantly more penalties bit.ly/2M6EBVv @fantasy_bet @tongueinloftus @FFScout @SpreadexSport
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