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Football data can be challenging to work with because there are so many moving parts on a given play. Our director of football analytics, Alex Vigderman, has some tips for doing so. He suggests you keep these things in mind: 1) Football is a team sport - How much did the offensive line contribute to a running back's big game? Was a down year for a wide receiver because of him or the quarterback? What about the defenses they faced? Player interactions abound, and most stats don't even bother trying to attack the question of individual responsibility. 2) Context matters - Players are on the field in different situations based on their skill set and coaching decisions. This can make comparing statistics difficult. Is this player only on the field in short yardage situations or third-and-long? How much of the team's offensive output came in garbage time? These sorts of things should be thought out. 3) Samples get small quickly - With only 17 games a year and only a hundred or so plays per game, it's difficult to establish a solid body of statistical evidence for a lot of things in football. Slicing things down to specific game situations or route types or coverage schemes only makes the margins tighter. Be careful with how confident you feel in a finding based on a single-season split. The SIS Research & Development team has put years of work into creating an all-encompassing player value stat, Total Points. This stat incorporates everything that happens during a game and assigns value to every player on the field. We recently made some updates to our calculation of Total Points, which you can find here along with NFL leaderboards. #NFL #football #footballanalytics #TotalPoints https://lnkd.in/eZJKhEgy  

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