{"id":63007,"date":"2014-03-20T00:00:00","date_gmt":"2014-03-20T00:00:00","guid":{"rendered":"https:\/\/rockcontent.com\/blog\/the-power-of-sports-data-visualizing-passes-between-nba-players-offers-new-game-insights\/"},"modified":"2025-09-15T08:51:45","modified_gmt":"2025-09-15T11:51:45","slug":"the-power-of-sports-data-visualizing-passes-between-nba-players-offers-new-game-insights","status":"publish","type":"post","link":"https:\/\/pingback.com\/en\/resources\/the-power-of-sports-data-visualizing-passes-between-nba-players-offers-new-game-insights\/","title":{"rendered":"The Power of Sports Data: Visualizing Passes Between NBA Players Offers New Game Insights"},"content":{"rendered":"<p>The 2013-2014 season is the NBA\u2019s first full year using SportVU technology\u00a0in all NBA arenas, and basketball analytics have never been more powerful. For the non-statheads, SportVU is a six-camera system installed in the rafters of NBA arenas that collects incredibly detailed data about player movement 25 times per second. Examples include speed, distance to the ball, directional movement, touches, and more. SportVU began a test run in 2011-2012 and expanded to include the entire league this year. The NBA made the data open and free to the public in November on a <a href=\"https:\/\/stats.nba.com\/playerTracking.html\">special section of NBA.com<\/a>.  This week, <a href=\"dubly.com\">Andy Bergmann<\/a> published his latest project on the NBA\u2019s <a href=\"https:\/\/hangtime.blogs.nba.com\/2014\/03\/19\/analytics-art-nba-passing\/\">Hang Time blog<\/a>\u00a0&#8211;<strong> Analytics Art: NBA Passing<\/strong>. Bergmann\u2019s graphic combines simple, striking design with advanced passing analysis from SportVU data that would have been unavailable just a few months ago.  The graphic depicts the number of passes between each team\u2019s starting five players from games where all five were active and saw playing time. The thicker the line, the more frequent the passes. Bergmann\u2019s decision to standardize the organization of each team\u2019s starters gives the graphic a mesmerizing star-like web, which makes it easy to understand the differences between how teams distribute the ball.  <\/p>\n<figure id=\"attachment_18391\" aria-describedby=\"caption-attachment-18391\" style=\"width: 618px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/blog.visual.ly\/the-power-of-sports-data-visualizing-passes-between-nba-players-offers-new-game-insights\/aa-art-nba-passing-680\/\" rel=\"attachment wp-att-18391\"><img data-opt-id=224530449  data-opt-src=\"https:\/\/mlgzkyrbq6eh.i.optimole.com\/w:321\/h:1080\/q:mauto\/https:\/\/pingback.com\/br\/resources\/wp-content\/uploads\/2014\/03\/aa-art-nba-passing-680-618x2077.jpg\"     decoding=\"async\" class=\"size-large wp-image-18391\" src=\"data:image/svg+xml,%3Csvg%20viewBox%3D%220%200%20618%202077%22%20width%3D%22618%22%20height%3D%222077%22%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%3E%3Crect%20width%3D%22618%22%20height%3D%222077%22%20fill%3D%22transparent%22%2F%3E%3C%2Fsvg%3E\" alt=\"\" width=\"618\" height=\"2077\" \/><\/a><figcaption id=\"caption-attachment-18391\" class=\"wp-caption-text\">Analytics Art: NBA Passing<\/figcaption><\/figure>\n<p>  For example, the Minnesota Timberwolves have built their team around two young stars, point guard Ricky Rubio and power forward Kevin Love. While <a href=\"https:\/\/www.youtube.com\/watch?v=tiZ0B55xHz8\">spectacular passes<\/a> between the two are easy to find on top 10 lists and highlight reels, individual highlights don\u2019t allow sports analysts to draw a statistically valid conclusion. Using the data from SportVU, however, Bergmann is able to quantify just how much the Timberwolves\u2019 offense revolves around the Rubio\/Love partnership compared both to other players on the team and other teams in the league.  <iframe src=\"\/\/www.youtube.com\/embed\/tiZ0B55xHz8\" width=\"618\" height=\"348\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe>  <a href=\"https:\/\/visual.ly\/solutions\/data-visualization-information-design\">Visualizing data<\/a> in this way can allow coaches to optimize their gameplan in the future \u2013 if the lines are particularly thick between two players, coaches could institute a more balanced attack on offense. And on the other side of the ball, coaches could create a defensive strategy designed to shut down ball movement between two players.  Said Bergmann, \u201cyou could look at this and say \u2018all you need to do is get someone between Love and Rubio\u2019 \u2013 and good luck to you in that endeavor!\u201d  <\/p>\n<figure id=\"attachment_18392\" aria-describedby=\"caption-attachment-18392\" style=\"width: 212px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/blog.visual.ly\/the-power-of-sports-data-visualizing-passes-between-nba-players-offers-new-game-insights\/aa-art-nba-passing-680-2\/\" rel=\"attachment wp-att-18392\"><img data-opt-id=863307218  data-opt-src=\"https:\/\/mlgzkyrbq6eh.i.optimole.com\/w:auto\/h:auto\/q:mauto\/https:\/\/pingback.com\/br\/resources\/wp-content\/uploads\/2014\/03\/aa-art-nba-passing-6801.jpg\"  decoding=\"async\" class=\"size-full wp-image-18392\" src=\"data:image/svg+xml,%3Csvg%20viewBox%3D%220%200%20100%%20100%%22%20width%3D%22100%%22%20height%3D%22100%%22%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%3E%3Crect%20width%3D%22100%%22%20height%3D%22100%%22%20fill%3D%22transparent%22%2F%3E%3C%2Fsvg%3E\" alt=\"\" width=\"212\" height=\"212\" \/><\/a><figcaption id=\"caption-attachment-18392\" class=\"wp-caption-text\">Minnesota Timberwolves<\/figcaption><\/figure>\n<p>  Bergmann initially began creating a graphic that would also show directionality of the passes. The impulse is to assume that point guards or shooting guards would send passes away more frequently than they received them, but the SportVU data revealed that this is not the case.  \u201cIt turns out that most passing between players is fairly well reciprocated,\u201d Bergmann said. \u201cIn one version I set the endpoints of the lines to be different thicknesses based on passing direction, which created a nice taper to the lines. However, once I put in the actual data, it was almost impossible to distinguish the differences and ultimately made the charts slightly more difficult to read.\u201d  <\/p>\n<p>What\u2019s funny is, coaches and analysts started out assuming passing patterns would tell one tidy story\u2014some kind of clear hierarchy on the court, point guard here, shooting guard there. But when the numbers rolled in, it was more like one big, tangled web. Reciprocation was the rule, not the exception. Lots of passes just bouncing back and forth, the supposed directionality looking more like noise than a signature. Doesn\u2019t always match up with what you\u2019d expect from just watching on TV, but that\u2019s kind of the charm of deep-dive basketball data. <\/p>\n<p>It\u2019s not just the coaches or the analytics nerds who get a kick out of these graphics, though. Sitting at home, you can see at a glance why your team\u2019s offense feels clunky, or how one dynamic duo is basically running the entire show. It scratches that itch basketball fans have when arguing about who\u2019s really moving the ball and who\u2019s standing around\u2014now there\u2019s an actual visual to back up the usual beer-league debates. The SportVU-driven charts somehow manage to be both technical and totally accessible, which isn\u2019t easy with sports data. <\/p>\n<p>Bergmann\u2019s graphic using SportVU data is certainly useful to front office executives and NBA sportswriters who look at complex sports analytics trends every day, but it is also simple enough for the most casual fan to check out how their favorite team stacks up. Bergmann, a long-time Knicks fan, might suggest the Knicks front office use his graphic to have a chat with Carmelo Anthony.  <\/p>\n<figure id=\"attachment_18393\" aria-describedby=\"caption-attachment-18393\" style=\"width: 212px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/blog.visual.ly\/the-power-of-sports-data-visualizing-passes-between-nba-players-offers-new-game-insights\/aa-art-nba-passing-680-3\/\" rel=\"attachment wp-att-18393\"><img data-opt-id=489884229  data-opt-src=\"https:\/\/mlgzkyrbq6eh.i.optimole.com\/w:auto\/h:auto\/q:mauto\/https:\/\/pingback.com\/br\/resources\/wp-content\/uploads\/2014\/03\/aa-art-nba-passing-6802.jpg\"  decoding=\"async\" class=\"size-full wp-image-18393\" src=\"data:image/svg+xml,%3Csvg%20viewBox%3D%220%200%20100%%20100%%22%20width%3D%22100%%22%20height%3D%22100%%22%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%3E%3Crect%20width%3D%22100%%22%20height%3D%22100%%22%20fill%3D%22transparent%22%2F%3E%3C%2Fsvg%3E\" alt=\"\" width=\"212\" height=\"212\" \/><\/a><figcaption id=\"caption-attachment-18393\" class=\"wp-caption-text\">New York Knicks<\/figcaption><\/figure>\n<p>  \u201cJust yesterday, Phil Jackson was hinting that Melo needs to pass more frequently,\u201d Bergmann said. \u201cYou can certainly see that in this graphic, but there are definitely bigger ball-hogs in the league.\u201d  The full graphic can be accessed <a href=\"https:\/\/turnernbahangtime.files.wordpress.com\/2014\/03\/aa-art-nba-passing-680.jpg\">here<\/a>. For more information about SportVU, visit the <a href=\"https:\/\/stats.nba.com\/playerTracking.html\">portal on NBA.com<\/a>. For more information about Andy Bergmann and other cool graphic projects, visit Andy\u2019s personal site at <a href=\"dubly.com\">Dubly.com<\/a> and follow him on Twitter <a href=\"https:\/\/twitter.com\/dubly\">@Dubly<\/a>.  <em><a href=\"https:\/\/visual.ly\/users\/salmjon\">Jon Salm<\/a>\u00a0is an associate client analyst at Millward Brown Digital in New York City and a freelance data journalist in the\u00a0<a href=\"https:\/\/marketplace.visual.ly\/\">Visual.ly marketplace<\/a>. He has a bachelor&#8217;s degree in English from Washington and Lee University. You can find him online at\u00a0<a href=\"https:\/\/about.me\/salm.jon\">about.me\/salm.jon<\/a>\u00a0and follow him on twitter\u00a0<a href=\"https:\/\/twitter.com\/s4lm3r\">@S4LM3R<\/a>.<\/em><\/p>\n<p> }}<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The 2013-2014 season is the NBA\u2019s first full year using SportVU technology\u00a0in all NBA arenas, and basketball analytics have never been more powerful. For the non-statheads, SportVU is a six-camera system installed in the rafters of NBA arenas that collects incredibly detailed data about player movement 25 times per second. Examples include speed, distance to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":53655,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-63007","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sem-categoria"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Power of Sports Data: Visualizing Passes Between NBA Players Offers New Game Insights - Pingback<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/pingback.com\/en\/resources\/the-power-of-sports-data-visualizing-passes-between-nba-players-offers-new-game-insights\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Power of Sports Data: Visualizing Passes Between NBA Players Offers New Game Insights - Pingback\" \/>\n<meta property=\"og:description\" content=\"The 2013-2014 season is the NBA\u2019s first full year using SportVU technology\u00a0in all NBA arenas, and basketball analytics have never been more powerful. 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