{"id":9602,"date":"2020-06-21T15:15:00","date_gmt":"2020-06-21T19:15:00","guid":{"rendered":"https:\/\/www.shortform.com\/blog\/?p=9602"},"modified":"2020-06-23T14:37:13","modified_gmt":"2020-06-23T18:37:13","slug":"data-analytics-in-baseball","status":"publish","type":"post","link":"https:\/\/www.shortform.com\/blog\/data-analytics-in-baseball\/","title":{"rendered":"Data Analytics in Baseball: A Game Becomes Business"},"content":{"rendered":"\n<p>Are there data analytics in baseball? What kind of baseball data do teams use to evaluate players and competition? <\/p>\n\n\n\n<p>Data analytics in baseball is a long-standing practice. However, the type of analytics in baseball is changing rapidly as baseball adjusts to the changing business. Here&#8217;s how data analytics in baseball were changed by <em>Moneyball<\/em> and <a href=\"https:\/\/www.shortform.com\/blog\/baseball-sabermetrics\/\">sabermetrics<\/a>.<\/p>\n\n\n\n<!--more-->\n\n\n\n<h2 class=\"wp-block-heading\">Data Analytics in Baseball: <strong>A Value-Driven Philosophy<\/strong><\/h2>\n\n\n\n<p><strong>As a cash-strapped club, the Oakland A\u2019s adopt a practice of developing players on their own through the draft and then trading them a few years later when they become free agents,<\/strong> after which such players will be too expensive to retain. After the 2001 season, they lose some major stars\u2014through trades and free agency\u2014whose contracts they are no longer able to afford.&nbsp;<\/p>\n\n\n\n<p>Despite the team\u2019s lack of financial resources, the A\u2019s are remarkably successful on the field under Billy\u2019s leadership. The 2001 A\u2019s finish 102-60. The 2002 iteration of the team goes on to a 103-59 record, good for first place in the American League West Division and second overall in the league, despite having what appears to be an inferior roster.&nbsp;<\/p>\n\n\n\n<p><strong>They achieve this through shrewd, value-driven management of their most important asset: the players<\/strong>. No one on the team is treated as irreplaceable. <a href=\"https:\/\/www.shortform.com\/blog\/paul-depodesta-moneyball\/\">DePodesta<\/a> is able to quantify the net runs each player contributes to the team (by adding runs through offense and preventing them through defense). Every action taken by a player has an expected run value.&nbsp;<\/p>\n\n\n\n<p>Taking this a step further,<strong> DePodesta calculates that the team will likely need to win 95 games to make the playoffs. <\/strong>To win 95 games, they will need to have a net run differential of approximately +135. And this makes the team\u2019s task a lot clearer. They need to find a combination of players whose net run production will offset the loss of Isringhausen, Damon, and Giambi, plugging in those holes to get the run differential they need. This exemplifies data analytics in baseball. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Success From Baseball Data<\/h2>\n\n\n\n<p> <strong>The team\u2019s success is a testament to their value investment strategy in building the team and a stunning rebuke to decades of conventional wisdom<\/strong> about what makes a winning ballclub. Still, many baseball traditionalists, particularly former player-turned-TV-commentator <a href=\"https:\/\/www.shortform.com\/blog\/joe-morgan-moneyball\/\">Joe Morgan<\/a>, appear to be actively rooting against the A\u2019s in the playoffs. They seem to not so much <em>disagree <\/em>with Billy\u2019s ideas about how to win baseball games as to be outright <em>offended <\/em>by them. Winning games without flashy home run sluggers or lighting-speed pitchers, to these keepers of baseball\u2019s conventional wisdom, is a violation of the natural order of things, a perversion of the noble tradition and spirit of America\u2019s national pastime. Morgan is part of an insider\u2019s club of pundits, writers, scouts, and ex-players, which never seems to face accountability for its failures. They are a social club that values loyalty over competence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Data Analytics in Baseball Examples<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.shortform.com\/blog\/billy-beane-moneyball\/\">Billy Beane<\/a> and his team used several new types of data analytics in baseball to make decisions. Here are two examples of baseball data that helped Beane find high-value players where no one else was looking.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Scott Hatteberg<\/h3>\n\n\n\n<p>Hatteberg\u2019s style blends perfectly with Beane\u2019s philosophy and he thrives. By the end of the 2002 season, Hatteberg is one of the stingiest swingers in the league, choosing not to swing at 64.5 percent of pitches thrown to him\u2014the third-highest rate in the American League. DePodesta calculates that if <a href=\"https:\/\/www.shortform.com\/blog\/scott-hatteberg-moneyball\/\">Scott Hatteberg<\/a> had taken every at bat for the A\u2019s in 2002, the team would have scored between 940 and 950 runs, more than the entire roster of the powerhouse Yankees. Put another way, nine Scott Hattebergs are worth more than the entire Yankee team.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Chad Bradford<\/h3>\n\n\n\n<p><strong><a href=\"https:\/\/www.shortform.com\/blog\/chad-bradford-moneyball\/\">Chad Bradford<\/a> is a pitcher who excels in the new system of data analytics in baseball, since he&#8217;s a pitcher who excels in the DIPS categories.<\/strong> Despite his unusual throwing style, he is a remarkably talented pitcher, one of the best on the Oakland A\u2019s staff and one of the best relief pitchers in the major leagues. And at a meager $237,000, he is a steal. Like nearly all the other A\u2019s pitchers, he has been overlooked or written off by the other teams, as someone who could never succeed in the major leagues. Yet he is a key part of the A\u2019s pitching staff\u2014the best in baseball. They\u2019re seeing something that the rest of the league isn\u2019t\u2014and at a fraction of the price.<\/p>\n\n\n\n<p>Data analytics in baseball have always been used to evaluate the game. But new baseball data changed the most fundamental aspect of the game: the players. Looking at players as value investments opens up a whole new world of data analytics in baseball. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Are there data analytics in baseball? What kind of baseball data do teams use to evaluate players and competition? Data analytics in baseball is a long-standing practice. However, the type of analytics in baseball is changing rapidly as baseball adjusts to the changing business. Here&#8217;s how data analytics in baseball were changed by Moneyball and sabermetrics.<\/p>\n","protected":false},"author":5,"featured_media":9613,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[45,48],"tags":[88],"class_list":["post-9602","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","category-sports","tag-moneyball","","tg-column-two"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.3 (Yoast SEO v24.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Analytics in Baseball: A Game Becomes Business - Shortform Books<\/title>\n<meta name=\"description\" content=\"What are data analytics in baseball? Data analytics have always helped baseball teams make decisions. 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