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We've already talked in some detail about specfic players to target this week , with the below data supplementing that analysis: Clean Sheet Forecast Data Learn About Tableau Attacking Forecast Data Learn About Tableau Individual Forecast Data Learn About Tableau

Clean sheet projections Learn About Tableau Attacking projections Learn About Tableau Individual projections Learn About Tableau

Defensive projections Learn About Tableau Attacking projections Learn About Tableau Individual projections Learn About Tableau

Clean Sheet Rankings Learn About Tableau Attacking Rankings Learn About Tableau Individual Rankings Learn About Tableau

Clean Sheet Rankings Learn About Tableau Attacking Rankings Learn About Tableau Individual Rankings Learn About Tableau

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Clean Sheet Rankings Powered by Tableau Attacking Rankings Powered by Tableau Individual Rankings Powered by Tableau

Clean Sheet Rankings Powered by Tableau Attacking Rankings Powered by Tableau Individual Rankings On a recent FanGraphs podcast, guest Dan Szymborski spoke briefly about the difference between projections and predictions. Szymborski is the creator of the ZiPS baseball projection system which uses a combination of historic data and minor league stats to project future production. The key point here for us is that Szymborski notes that he is keen to avoid having a computer model do things that a computer isn't very good at, such as judging whether a niggly knee injury will keep a player out or whether a manager gave a hint in his latest press conference that someone might be rotated. He therefore distinguishes between projections - which are computer generated and focus on factors we can quantify - and predictions which use those projections along with other factors that are best left to the human mind to factor. Given a few comments I have seen where the below ...

Clean Sheet Data Powered by Tableau Attacking Data Powered by Tableau Individual Data Powered by Tableau Note that the individual rankings are based on the assumption that all players will play 90 minutes. Injured/suspended players are generally excluded but borderline cases are left in and I make no assessment as to whether individual's will be rested/rotated.

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Clean Sheet Rankings Powered by Tableau Attacking Rankings Powered by Tableau Individual Rankings Powered by Tableau

Clean Sheet Rankings Powered by Tableau Attacking Rankings Powered by Tableau Individual Rankings Powered by Tableau

Attacking Rankings Powered by Tableau Clean Sheet Rankings Powered by Tableau Individual Rankings Powered by Tableau

Attacking Rankings Powered by Tableau Clean Sheet Rankings Powered by Tableau Individual Rankings Powered by Tableau A couple of quick notes on player rankings which will likely cause some consternation: At City, United are forecast to register just six SiB which gives van Persie a couple, based on his 36% share to date. On those numbers the model just isn't going to forecast big returns for the Dutchman this week. Ba's ranking over Berbatov looks a bit odd given that you would fancy the home team in the contest, but the ranking accounts for each player's share of their team's shots to date, and Ba simply dominates in that metric (53% SiB vs 26% for Berbatov). Berbatov's assist potential makes it close and the risk that Ba doesn't play would likely make me pick the Bulgarian here, but the model doesn't account for injuries. The Reading players get the edge of Sunderland due to the other game, as while the model likes the extra fi...

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