{"id":221442,"date":"2017-02-27T14:51:28","date_gmt":"2017-02-27T19:51:28","guid":{"rendered":"http:\/\/www.rochester.edu\/newscenter\/?p=221442"},"modified":"2024-10-29T15:14:51","modified_gmt":"2024-10-29T19:14:51","slug":"student-athletes-big-wins-big-data-analytics-221442","status":"publish","type":"post","link":"https:\/\/www.rochester.edu\/newscenter\/student-athletes-big-wins-big-data-analytics-221442\/","title":{"rendered":"Student athletes find big wins in big data"},"content":{"rendered":"<div class=\"embed-container\"><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/SyhTAkBUbNc\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/div>\n<p>By all accounts, Jake Wittig \u201919 enjoyed a strong freshman season for the Rochester men\u2019s basketball team last year. The point guard started 23 games and averaged 8.8 points and 3.3 assists.<\/p>\n<p><a href=\"http:\/\/www.rochester.edu\/news\/unlocking-big-data\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-220142\" style=\"border: none;\" src=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/dandelion-data-science-logo.jpg\" alt=\"illustration of dandelion with data as seeds\" width=\"400\" height=\"214\" \/><\/a><\/p>\n<h2 class=\"lighter\">Unlocking big data<\/h2>\n<p>&nbsp;<\/p>\n<h3 class=\"lighter\">A Newscenter series on how Rochester is using data science to change how we research, how we learn, and how we understand our world.<\/h3>\n<p>&nbsp;<\/p>\n<p>When the season ended, Wittig dug a little deeper to evaluate his performance. Using Synergy Sports Technology, an online service whose clients include hundreds of NCAA teams from Divisions I, II, and III, Wittig learned that he ranked \u201cbelow average\u201d in catch and shoot 3-pointers (19th percentile), jump shots off the dribble (31st percentile), and pick and roll including passes (48th percentile).<\/p>\n<p>\u201cThe data showed me what I was good at and what I needed to work on,\u201d says Wittig, a business major from Manlius, New York, \u00a0and son of Jeff Wittig \u201986, a two-time All-American quarterback at Rochester. \u201cLast summer, I worked on those things and have been able to make better reads and limit my turnovers.\u201d<\/p>\n<p>Through the middle of February, Synergy ranked Wittig \u201cvery good\u201d in catch and shoot (76th percentile) and jump shots off the dribble (79th percentile), and \u201cexcellent\u201d for pick and roll including passes (88th percentile).<\/p>\n<p>\u201cThe data made me a better player,\u201d Wittig says.<\/p>\n<figure id=\"attachment_221462\" aria-describedby=\"caption-attachment-221462\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-221462 size-large\" src=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/Wittigshooting1-1024x637.jpg\" alt=\"basketball players on court\" width=\"1024\" height=\"637\" srcset=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/Wittigshooting1-1024x637.jpg 1024w, https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/Wittigshooting1-630x392.jpg 630w, https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/Wittigshooting1-768x478.jpg 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption id=\"caption-attachment-221462\" class=\"wp-caption-text\">Jake Wittig &#8217;19 says his overall basketball skills have improved since he analyzed data from last season. (University photo \/ University Athletics).<\/figcaption><\/figure>\n<p>Data analytics is the new normal for college teams. Programs pay for different web-based programs out of their annual budgets to evaluate student-athletes, plan for opponents, and even prevent injuries.<\/p>\n<p>\u201cData has become essential for so many coaches,\u201d Rochester men\u2019s soccer coach Chris Apple \u201992 says. Women\u2019s lacrosse coach Sue Behme says she uses data \u201cfor almost everything we do.\u201d<\/p>\n<p>Dan Wesley \u201994, Rochester\u2019s head men\u2019s golf coach since 2007, says life was much simpler when he played for the Yellowjackets.<\/p>\n<p>\u201cI\u2019d come off the course and [then head coach] Don Smith would say, \u2018What did you shoot?\u2019\u201d Wesley says. \u201cI\u2019d tell him, and he\u2019d write it down. That\u2019s it.\u201d<\/p>\n<div class=\"pullquote\">\u201cWhat we have now is so much better than just a few years ago. I can\u2019t imagine what\u2019s in store in the years ahead.\u201d<\/div>\n<p>These days, Wesley\u2019s players tell him where each shot went. Using smartphones and tablets, they log into GolfStat, a performance diagnostics tool, and recreate their round: Drive went left. Fairway shot veered right. Ball landed in sand trap. Wedge shot missed green. Missed par putt. And so on.<\/p>\n<p>\u201cI get reports every two weeks during the season telling us what each player is averaging on pars 3s, 4s, and 5s, what percentage of fairways they\u2019re hitting, what percentage of greens we\u2019re hiting, and whether we are missing left, right, short, or long,\u201d Wesley says.<\/p>\n<p>Apple\u2019s soccer team uses a data base called VidSwap, which allows players to study opponents\u2019 attacking and defending tendencies as well as their own pass completions, turnovers, penalties created, and goals scored. By using FrontRush, Apple can track how often recruits are opening his emails. \u201cIt shows their level of interest,\u201d he says.Sam Albert \u201901, \u201902W (MS), the University\u2019s director of track and field, says \u201cone of the greatest modern developments in our sport\u201d was the creation of the Track &amp; Field Results Reporting System (TFRRS) in 2010. It\u2019s a national database which serves as a clearinghouse for all college track and cross country results. Schools are required to upload official results from every competition to the system.<\/p>\n<p>\u201cIt\u2019s available instantly and in real time,\u201d Albert says. \u201cEvery college team and athlete has a profile in the TFRRS system, which allows convenient access to current data and performances and also has created a running archive of literally every competition and result.\u201d<\/p>\n<p>Football has by far the largest roster of any University team (76 last fall), making it virtually impossible for head coach Scott Greene and his staff to evaluate every player through data. The Yellowjackets subscribe to hudl, an online system that provides video review and performance analysis tools for teams and athletes at every level.<\/p>\n<p>\u201cWe look at field position, down and distance, and personnel and formation to analyze what our best calls might be,\u201d Greene says.<\/p>\n<p>Field hockey coach Wendy Andreatta uses VidSwap to measure success with set pieces and to help improve shooting and save percentages. The data also shows where and how the Yellowjackets are scored upon.<\/p>\n<figure id=\"attachment_222122\" aria-describedby=\"caption-attachment-222122\" style=\"width: 700px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-222122\" src=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/field-hockey-Dunham.jpg\" alt=\"field hockey player\" width=\"700\" height=\"371\" srcset=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/field-hockey-Dunham.jpg 700w, https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/field-hockey-Dunham-630x334.jpg 630w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-222122\" class=\"wp-caption-text\">Courtney Dunham &#8217;19 during the 2016 NCAA championship. (University photo \/ Athletics Communications)<\/figcaption><\/figure>\n<p>Andreatta says having data keeps her players more open to tactical changes.<\/p>\n<p>\u201cWhat it does for our players is make them listen to their coaches a little bit more,\u201d she says. \u201cWhen we say this is a great scoring position, and we can have the data to back it up, they\u2019ll put themselves in that scoring position more readily than they would if they hadn\u2019t seen it.\u201d<\/p>\n<p>Men\u2019s basketball coach Luke Flockerzi and women\u2019s basketball coach Jim Scheible both use Synergy. That\u2019s not just a choice; it\u2019s a requirement of the University Athletic Association, which seeks to keep all teams on a level playing court.<\/p>\n<p>The company Synergy\u2014founded by Garrick Barr, a former coach with the NBA\u2019s Phoenix Suns\u2014has transformed the way coaches and general managers evaluate talent. Each year, the Seattle-based company analyzes and breaks down more than 50,000 games worldwide above the high school level.<\/p>\n<p>Statistics are linked to videos, too. So if your point guard missed 18 shots last Sunday, player and coach can watch him or her missing those 18 shots.<\/p>\n<p>\u201cIt used to take me two hours to watch an opponent\u2019s game,\u201d Flockerzi says. \u201cNow I can watch it in 15 minutes, by eliminating timeouts, free throws, things like that. I can watch the parts I want to watch.\u201d<\/p>\n<p>\u201cI\u2019m definitely a fan of Synergy,\u201d says Sam Borst-Smith \u201917, a starting guard on the men\u2019s basketball team and an English major from San Pedro, California. \u201cThe information shows what our collective team strengths are, as well as individual.\u201d<\/p>\n<p>At the same time, there are players and coaches who maintain that data analytics, for all its obvious uses and benefits, shouldn\u2019t be seen as a substitute for instinct. Borst-Smith is among them.<\/p>\n<p>\u201cYou can\u2019t get too wrapped up in the statistics that Synergy provides,\u201d he says. \u201cKeeping your strengths and weaknesses in the back of your mind can result in negative effects, such as putting pressure on yourself to perform at a high level that will keep your statistics high. Once you\u2019re able to not think about your statistics and just go out and perform, you\u2019ll play better.\u201d<\/p>\n<p>There are a few University coaches who don\u2019t subscribe to a web-based data analytics system. Men\u2019s and women\u2019s tennis coach Matt Nielsen relies on good old pencil and paper to track number of shots per point, percentage of points won on second serves, and percentage of points won at the net. Nielsen is looking into purchasing data apps for smartphones, which would allow his players easy access to pertinent information.<\/p>\n<p>\u201cCraig O\u2019Shannessy, lead strategic analyst for the ATP tour, Wimbledon and Australian Open and founder of BrainGameTennis.com, came to campus in September to give a presentation,\u201d Nielsen says. \u201cHe has analyzed data collected from thousands of tennis matches to determine the most effective strategies for winning at all levels.\u00a0 After seeing the data, I\u2019ve dramatically changed the way our teams practice to focus on areas that have the biggest impact on winning.\u201d<\/p>\n<p>Squash coach Martin Heath also succeeds\u2014really succeeds\u2014without data.<\/p>\n<p>He relies on \u201cjust old-fashioned scouting,\u201d he says. \u201cI get recruits to send me a link to a YouTube video of them playing a match and use my own analysis.\u201d<\/p>\n<p>Something\u2019s working. The Yellowjackets are a perennial powerhouse. Last spring, they lost to Yale in the College Squash Association national championship, and earlier this year the Yellowjackets were ranked No. 1 in the nation.<\/p>\n<p>For most sports, however, data science is here to stay. And it will continue to improve.<\/p>\n<p>\u201cWhat we have now is so much better than just a few years ago,\u201d Flockerzi says. \u201cI can\u2019t imagine what\u2019s in store in the years ahead.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>From field hockey to football, teams rely on statistics to evaluate players, opponents, and strategy. \u201cWhat we have now is so much better than just a few years ago,\u201d says men\u2019s basketball coach Luke Flockerzi. \u201cI can\u2019t imagine what\u2019s in store in the years ahead.\u201d<\/p>\n","protected":false},"author":672,"featured_media":221532,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[9],"tags":[9776,41372,11716],"class_list":["post-221442","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-community","tag-athletics","tag-big-data-2017","tag-data-science"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Student athletes find big wins in big data<\/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:\/\/www.rochester.edu\/newscenter\/student-athletes-big-wins-big-data-analytics-221442\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Student athletes find big wins in big data\" \/>\n<meta property=\"og:description\" content=\"From field hockey to football, teams rely on statistics to evaluate players, opponents, and strategy. \u201cWhat we have now is so much better than just a few years ago,\u201d says men\u2019s basketball coach Luke Flockerzi. \u201cI can\u2019t imagine what\u2019s in store in the years ahead.\u201d\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.rochester.edu\/newscenter\/student-athletes-big-wins-big-data-analytics-221442\/\" \/>\n<meta property=\"og:site_name\" content=\"News Center\" \/>\n<meta property=\"article:published_time\" content=\"2017-02-27T19:51:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-10-29T19:14:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2017\/02\/lukejakefeatured-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Jim Mandelaro\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jim Mandelaro\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/newscenter\\\/student-athletes-big-wins-big-data-analytics-221442\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/newscenter\\\/student-athletes-big-wins-big-data-analytics-221442\\\/\"},\"author\":{\"name\":\"Jim Mandelaro\",\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/newscenter\\\/#\\\/schema\\\/person\\\/35537746af700f24d7e52e350d95b124\"},\"headline\":\"Student athletes find big wins in big data\",\"datePublished\":\"2017-02-27T19:51:28+00:00\",\"dateModified\":\"2024-10-29T19:14:51+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/newscenter\\\/student-athletes-big-wins-big-data-analytics-221442\\\/\"},\"wordCount\":1410,\"image\":{\"@id\":\"https:\\\/\\\/www.rochester.edu\\\/newscenter\\\/student-athletes-big-wins-big-data-analytics-221442\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.rochester.edu\\\/newscenter\\\/wp-content\\\/uploads\\\/2017\\\/02\\\/lukejakefeatured-1.jpg\",\"keywords\":[\"athletics\",\"big-data-2017\",\"data science\"],\"articleSection\":[\"Campus &amp; 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