{"id":12791,"date":"2022-09-28T13:18:56","date_gmt":"2022-09-28T17:18:56","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12791"},"modified":"2022-09-28T13:18:56","modified_gmt":"2022-09-28T17:18:56","slug":"the-science-behind-nfl-next-gen-stats-new-passing-metric","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-science-behind-nfl-next-gen-stats-new-passing-metric\/12791\/","title":{"rendered":"The Science Behind NFL Next Gen Stats\u2019 New Passing Metric"},"content":{"rendered":"Originally published in Amazon Science, Aug 26, 2022.\u00a0 Spliced binned-Pareto distributions are flexible enough to handle symmetric, asymmetric, and multimodal distributions, offering a more consistent metric. When football fans evaluate a player\u2019s performance, they measure the player\u2019s execution of specific plays against an innate sense of the player\u2019s potential. Trying to encode such judgments into machine learning models, however, has proved non-trivial. Fans and commentators have criticized existing quarterback (QB) passing stats, such as Madden QB, the NFL passer rating, ESPN\u2019s total quarterback rating (QBR), and the Pro Football Focus (PFF) grade, for\u00a0being calibrated to obsolete data, being\u00a0unrelated <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-science-behind-nfl-next-gen-stats-new-passing-metric\/12791\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Amazon Science, Aug 26, 2022.\u00a0 Spliced binned-Pareto distributions are flexible enough to handle symmetric, asymmetric, and multimodal distributions, offering a more consistent metric. When football fans evaluate a player\u2019s performance, they measure the player\u2019s execution of specific plays against an innate sense of the player\u2019s potential. Trying to encode such judgments into [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[230,791,243,1270,8],"class_list":["post-12791","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-data-analytics","tag-deep-learning","tag-machine-learning","tag-nfl-metrics","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12791","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12791"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12791\/revisions"}],"predecessor-version":[{"id":12792,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12791\/revisions\/12792"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12791"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12791"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12791"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}