As is usual in pre-season I’ve been tracking how much each Premier League and EFL squad has changed since last season. This will be updated once the transfer window closes. I’ve harvested the data from the official retained lists, the BBC transfer page, Transfermarkt and a variety of Twitter sources, so hopefully I haven’t missed anything. You can see the
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Here are the individual timeline graphics for the latest round of matches, comparing the quality of chances created by each team with goals scored. There’s a full explanation of these here for anyone who’s not seen them before.
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Here are the individual timeline graphics for the latest round of matches, comparing the quality of chances created by each team with goals scored. There’s a full explanation of these here for anyone who’s not seen them before.
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As usual, I’ve taken the newly-released fixtures for the Premier League and EFL and combined them with an aggregation of leading bookmakers’ odds (from OddsChecker) to visualise where each club’s tough and easy matches appear to be next season. Each row in the matrix below lists a club’s league matches in chronological order, colour-coded based on how difficult they appear
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Out of curiosity, I’ve applied the official Premier League scoring system (which can be found here under Rules > Scoring) to each of the three EFL divisions to see what the best possible squad would be. Just like the official game, I’ve picked the best-scoring combination of two goalkeepers, five defenders, five midfielders and three forwards (hopefully without putting anyone into
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With the fate of the football season still hanging in the balance, Sky asked me to calculate how much the league tables could still change if the remaining fixtures were played. Their version of the story is here. The way the graphic below works is pretty straightforward and it’s exactly the same idea as the weekly permutations: the outer bar
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These graphics are intended to give a quick visual overview of the age of players that each club has fielded in league matches using a technique very similar to “population pyramid” graphs, although I’ll freely admit that they’ve come out with shades of the Rorschach test (or as someone observed on Twitter, the Habitat lighting range). Explanation Hopefully they’re fairly self-explanatory, but
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While the season is suspended it feels like a good time to update the scatter graphics. These compare the attacking and defensive performances of every team in a division – each of the four graphics is explained briefly below and at length here. Shot dominance First of all, here is how the number of shots taken by each club compares with
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Here are the individual timeline graphics for the latest round of matches, comparing the quality of chances created by each team with goals scored. There’s a full explanation of these here for anyone who’s not seen them before. League 1 League 2
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As we’re roughly halfway through the season, I thought it was worth refreshing the club-by-club attack breakdowns. These are explained in detail here, but in summary they are simple scatter graphics that work as follows: Explanation Each graphic shows a club’s main attacking players: those who have: Featured for at least a quarter of their total pitch minutes in the league
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