As we’re now at the end of the season, I’ve refreshed 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 this season,
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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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As is traditional, here’s a look at how each club moved around the league table over the course of the season. This graphic works as follows: The clubs are listed down the side, in the order they finished in the final league table Each row shows how many days that club spent in each league position, based on where they
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What I’ve done below is to measure how long each club has spent in each of the three main “game states” – i.e. winning, drawing and losing. I’ve then converted these into percentages because I include stoppage time, which means that even when every club has played the same number of matches they will have a slightly different total number
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Now that the season is over (barring play-offs which I exclude for consistency), I can create final versions of 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
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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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These alternative league tables are calculated using expected goals (as seen in my match timelines). There’s a full explanation in the first post here. This is the final table for League 1, with the underlying data showing that Shrewsbury, Gillingham and Doncaster overachieved the most this season while Sunderland were the biggest underachievers.
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These graphics break down how much the league table can change during the next round of fixtures as follows: Down the left is the current order if league table, with each club’s current league position also indicated by a shaded square in their row. Across each club’s row is a hollow colour-coded strip showing how they are mathematically capable of
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These alternative league tables are calculated using expected goals (as seen in my match timelines). There’s a full explanation in the first post here.
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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. Championship League 1
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