Running the football -- Tyler Bey Jersey advancing your team closer to the end zone by using your strength, speed, elusivene s and intelligence to literally carry the ball from one spot on the field to another -- is elemental to the NFL. And yet, it's a part of the game that has been somewhat difficult for advanced statistics to capture. Until now.Building upon the winning entry of Austrian data scientists Philipp Singer and Dmitry Gordeev in Delon Wright Jersey , the Next Gen Stats Analytics team is excited to introduce a set of metrics that use player-tracking data to delve deeper into the ground game, derived from the newly developed ability to calculate Expected Rushing Yards.The 2020 Big Data Bowl competition, powered by Amazon Web Services (AWS), offered the opportunity for data J.J. Barea Jersey scientists, computer programmers, statisticians and inquisitive NFL fans alike to develop a model that attempts to answer this question: More than 2,000 data scientists participated in the open-source contest, which featured $75,000 in Josh Reaves Jersey total cash prizes shared among the top submi sions.Singer and Gordeev, who went by the team name , , and it wasn't close. Using the as a measure of model accuracy, the difference between Singer and Gordeev's entry and the second-place entry was Dwight Powell Jersey the same scoring margin that separated second place and 24th place.Let's dig into the principles behind Expected Rushing Yards and how NGS will be able to use that metric to bring new insights to a dimension of the sport that predates the forward pa s:
