Data visualizations for the 2020-21 Premier League season
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We talked about this earlier in the season, but with a couple more games in the bag, I've updated the viz which attempts to help you choose your defenders. The "All Players" tab should in theory help you do this coming with a blank slate, but the r aison d'etre for the viz is to help you choose between players in the same side, once you've decided that, for example, you want a City defender. The viz can be found linked from the main menu , and here and should be opened separately to best read this piece. A few notes as of GW5 below. Arsenal I'm not sure how much value there is with this defense right now, but if you are planning to play the fixtures and take a chance with one of Emery's men, this would suggest it should be Mustafi rather than the 10% owner Bellerin who you should target. Bournemouth Cook is the man here for now, though if a clear winner emerges from the developing Daniels vs Rico battle then one of those players could topple him b...
At this point of the year it's important that we try and establish what numbers can be believed. In other words: how small is too small for a sample size? Consider, for example, that through six gameweeks last season: Aston Villa ranked 10th in goals scored at home and 3rd on the road. They wound up being the 2nd worst attacking side in the league, managing to notch just one goal more than Stoke. Tottenham placed 19th in home defense, shipping an average of 2.5 goals per game. They finished the year as one of the league's best defenses, ranking 4th at home and 5th on the road. QPR conceded just one goal in their first three away games. They went on to concede 40 more in the next 16, at an alarming rate of 2.5 a game, enough to rank behind everyone outside of lowly Blackburn. We could go on and on. The point being, six games is not enough to write teams off or buy into short lived success. When then, is long enough? Using data from the past two seasons (ideally we'...
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