Ngay c\u1ea3 t\u00f4i d\u1ea1y v\u00e0 ti\u1ebfn h\u00e0nh nghi\u00ean c\u1ee9u v\u1ec1 ph\u00e2n t\u00edch Big Data, t\u00f4i kh\u00f4ng h\u1ec1 h\u00ecnh dung \u0111\u01b0\u1ee3c r\u1eb1ng Big data c\u0169ng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c d\u00f9ng trong th\u1ec3 thao, \u0111\u1eb7c bi\u1ec7t trong gi\u1ea3i v\u00f4 \u0111\u1ecbch b\u00f3ng \u0111\u00e1 th\u1ebf gi\u1edbi 2014. \u0110\u00eam qua t\u00f4i \u0111\u1ecdc m\u1ed9t b\u00e0i b\u00e1o v\u1ec1 vi\u1ec7c d\u00f9ng ph\u00e2n t\u00edch Big data trong th\u1ec3 thao v\u00e0 c\u00e1ch n\u00f3 cho vai tr\u00f2 b\u1ea3n ch\u1ea5t trong vi\u1ec7c gi\u00e0nh ch\u1ee9c v\u00f4 \u0111\u1ecbch cho \u0110\u1ee9c.<\/p>\n
Theo m\u1ed9t b\u00e0i b\u00e1o c\u1ee7a t\u1edd Wall Street Journal, Big data \u0111\u01b0\u1ee3c coi nh\u01b0 “c\u1ea7u th\u1ee7 th\u1ee9 m\u01b0\u1eddi hai” c\u1ee7a \u0111\u1ed9i \u0110\u1ee9c trong World Cup 2014. Nhi\u1ec1u th\u00e1ng tr\u01b0\u1edbc \u0111\u00f3, hu\u1ea5n luy\u1ec7n vi\u00ean \u0111\u1ed9i \u0110\u1ee9c \u0111\u00e3 l\u00e0m vi\u1ec7c v\u1edbi c\u00f4ng ti SAP \u0111\u1ec3 t\u1ea1o ra ph\u1ea7n m\u1ec1m \u0111\u1eb7c bi\u1ec7t c\u00f3 t\u00ean l\u00e0 \u201cMatch Insights – nh\u00ecn s\u00e2u tr\u1eadn \u0111\u1ea5u\u201d \u0111\u1ec3 thu th\u1eadp v\u00e0 ph\u00e2n t\u00edch s\u1ed1 li\u1ec7u th\u1ed1ng k\u00ea v\u1ec1 k\u0129 n\u0103ng c\u1ee7a t\u1eebng c\u1ea7u th\u1ee7 v\u00e0 to\u00e0n \u0111\u1ed9i. D\u1ef1a tr\u00ean s\u1ed1 li\u1ec7u th\u1ed1ng k\u1ebf v\u00e0 s\u1ef1 ki\u1ec7n, ph\u1ea7n m\u1ec1m n\u00e0y t\u1ea1o ra gi\u1ea3i ph\u00e1p \u0111\u1ec3 t\u1ed1i \u01b0u vi\u1ec7c b\u1ed1 tr\u00ed \u0111\u1ed9i, c\u1ea3i ti\u1ebfn n\u0103ng l\u1ef1c ch\u01a1i c\u1ee7a t\u1ed5, v\u00e0 t\u00ecm c\u00e1ch h\u1ea1 \u0111\u1ed1i ph\u01b0\u01a1ng trong tr\u1eadn \u0111\u00e1 b\u00f3ng b\u1eb1ng vi\u1ec7c ph\u00e2n t\u00edch s\u1ed1 li\u1ec7u th\u1ed1ng k\u00ea c\u1ee7a c\u00e1c \u0111\u1ed9i \u0111\u1ed1i th\u1ee7. H\u1ecd \u0111\u00e3 d\u00f9ng c\u00e1c camera \u0111\u1ec3 b\u1eaft l\u1ea5y t\u1ed1c \u0111\u1ed9 ch\u1ea1y, v\u1ecb tr\u00ed, th\u1eddi gian c\u1ee7a c\u00e1c c\u1ea7u th\u1ee7 gi\u1eef b\u00f3ng, c\u00e1c chi ti\u1ebft di chuy\u1ec3n ph\u00f2ng ng\u1ef1, v\u00e0 bi\u1ebfn \u0111\u1ed5i ch\u00fang v\u00e0o trong c\u01a1 s\u1edf d\u1eef li\u1ec7u n\u01a1i c\u00f4ng c\u1ee5 ph\u00e2n t\u00edch Big data t\u00ednh to\u00e1n m\u1ecdi chuy\u1ec3n \u0111\u1ed9ng, t\u1ed1c \u0111\u1ed9 v\u00e0 th\u1ed1ng k\u00ea r\u1ed3i t\u1ed5 ch\u1ee9c ch\u00fang th\u00e0nh th\u00f4ng tin \u0111\u1eb7c bi\u1ec7t d\u00e0nh cho ng\u01b0\u1eddi hu\u1ea5n luy\u1ec7n.<\/p>\n
Theo ph\u1ea7n m\u1ec1m n\u00e0y, h\u1ed9i t\u1ee5 then ch\u1ed1t cho \u0111\u1ed9i \u0110\u1ee9c n\u0103m nay l\u00e0 t\u1ed1c \u0111\u1ed9. D\u1ef1a tr\u00ean ph\u00e2n t\u00edch c\u1ee7a \u201cMatch Insights\u201d, \u0111\u1ed9i \u0110\u1ee9c c\u00f3 kh\u1ea3 n\u0103ng thay \u0111\u1ed5i th\u1eddi gian gi\u1eef b\u00f3ng trung b\u00ecnh t\u1eeb 3.4 gi\u00e2y t\u1edbi qu\u00e3ng 1.1 gi\u00e2y, \u0111i\u1ec1u \u0111\u00f3 ngh\u0129a l\u00e0 kh\u00f4ng c\u1ea7u th\u1ee7 n\u00e0o c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c gi\u1eef b\u00f3ng qu\u00e1 3 gi\u00e2y. Phong c\u00e1ch ch\u01a1i nhanh h\u01a1n \u0111\u00e3 cho \u0110\u1ee9c th\u1eafng Brazil 7-1, \u0111i\u1ec1u bao g\u1ed3m c\u1ea3 ghi ba b\u00e0n trong 179 gi\u00e2y. M\u1eb7c d\u1ea7u Brazil ki\u1ec3m so\u00e1t b\u00f3ng t\u1edbi 52% to\u00e0n tr\u1eadn, nh\u01b0ng h\u1ecd kh\u00f4ng c\u00f3 c\u01a1 h\u1ed9i n\u00e0o v\u00ec \u0110\u1ee9c \u0111\u00e3 chuy\u1ec1n b\u00f3ng v\u1edbi t\u1ed1c \u0111\u1ed9 cao t\u1ea1o ra l\u1ed7 h\u1ed5ng trong ph\u00f2ng ng\u1ef1 v\u00e0 t\u1eadn d\u1ee5ng \u01b0u th\u1ebf n\u00e0y. M\u1ed9t c\u1ea7u th\u1ee7 Brazil th\u1eeba nh\u1eadn: \u201cCh\u00fang t\u00f4i \u0111\u00e3 gi\u1ecfi c\u1ea7m b\u00f3ng b\u1eb1ng vi\u1ec7c ch\u01a1i theo phong c\u00e1ch c\u1ee7a ch\u00fang t\u00f4i v\u1ec1 \u0111i b\u00f3ng ph\u1ee9c t\u1ea1p nh\u01b0ng h\u1ecd l\u1ea1i qu\u00e1 nhanh; c\u1ea7u th\u1ee7 \u0110\u1ee9c kh\u00f4ng bao gi\u1edd gi\u1eef b\u00f3ng \u0111\u1ee7 l\u00e2u \u0111\u1ec3 ch\u00fang t\u00f4i ki\u1ec3m so\u00e1t h\u1ecd. \u0110\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao ch\u00fang t\u00f4i b\u1ecb \u0111\u00e1nh b\u1ea1i b\u1edfi t\u1ed1c \u0111\u1ed9 nhanh h\u01a1n c\u1ee7a h\u1ecd.\u201d<\/p>\n
Khi t\u1edbi vi\u1ec7c \u0111\u1ecbnh v\u1ecb tr\u00ean s\u00e2n, \u201cMatch Insights\u201d v\u1ebd ra “tuy\u1ebfn ph\u00f2ng ng\u1ef1 \u1ea3o” ch\u1ec9 ra m\u1ed9t c\u1ea7u th\u1ee7 c\u00f3 th\u1ec3 b\u1ea3o v\u1ec7 \u0111\u01b0\u1ee3c khu v\u1ef1c l\u1edbn bao nhi\u00eau b\u1eb1ng th\u00e2n th\u1ec3 ri\u00eang c\u1ee7a m\u00ecnh, v\u00e0 gi\u00fap h\u1ecd khai th\u00e1c \u0111i\u1ec3m y\u1ebfu c\u1ee7a vi\u1ec7c thi\u1ebft \u0111\u1eb7t c\u1ee7a \u0111\u1ed1i ph\u01b0\u01a1ng. \u0110\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao ngay c\u1ea3 \u0111\u1ed9i Argentina gi\u1ecfi nh\u1ea5t c\u0169ng kh\u00f4ng th\u1ec3 xuy\u00ean qua \u0111\u01b0\u1ee3c tuy\u1ebfn ph\u00f2ng ng\u1ef1 c\u1ee7a \u0110\u1ee9c. M\u1ed9t c\u1ea7u th\u1ee7 \u0111\u1ed9i \u0110\u1ee9c gi\u1ea3i th\u00edch: \u201cThay v\u00ec ch\u01a1i tr\u1eadn \u0111\u00e1 b\u00f3ng \u0111i\u1ec3n h\u00ecnh nh\u01b0 b\u1ea5t k\u00ec ai, ch\u00fang t\u00f4i c\u00f3 ch\u1ec9 \u0111\u1ea1o r\u00f5 r\u00e0ng t\u1eeb hu\u1ea5n luy\u1ec7n vi\u00ean v\u1ec1 \u0111i\u1ec1u c\u1ea7n l\u00e0m d\u1ef1a tr\u00ean c\u00e1c ch\u1ec9 d\u1eabn theo ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 th\u1ed1ng k\u00ea. Khi kh\u00f4ng th\u1ef1c h\u00e0nh, ch\u00fang t\u00f4i xem videos v\u1ec1 hi\u1ec7u n\u0103ng c\u1ee7a nh\u1eefng ng\u01b0\u1eddi \u0111\u1ea5u v\u1edbi ch\u00fang t\u00f4i, n\u01a1i ph\u1ea7n m\u1ec1m ch\u1ec9 ra cho ch\u00fang t\u00f4i c\u00e1c nh\u01b0\u1ee3c \u0111i\u1ec3m c\u1ee7a h\u1ecd c\u0169ng nh\u01b0 \u0111i\u1ec1u t\u1eebng c\u1ea7u c\u1ea7u th\u01b0\u1eddng l\u00e0m. D\u1ef1a tr\u00ean nh\u1eefng d\u1eef li\u1ec7u n\u00e0y, ch\u00fang t\u00f4i bi\u1ebft c\u00e1ch Cristiano Ronaldo th\u01b0\u1eddng di chuy\u1ec3n hay c\u00e1ch Messi th\u00edch l\u00e0m v\u00e0 ph\u1ea7n m\u1ec1m gi\u1ea3i th\u00edch cho ch\u00fang t\u00f4i c\u00e1ch \u0111\u1ed1i ph\u00f3 \u0111i\u1ec1u \u0111\u00f3. Ch\u1eb3ng h\u1ea1n, tr\u01b0\u1edbc tr\u1eadn \u0111\u1ea5u v\u1edbi \u0111\u1ed9i Ph\u00e1p, ph\u1ea7n m\u1ec1m \u0111\u00e3 ch\u1ec9 ra r\u1eb1ng ng\u01b0\u1eddi Ph\u00e1p r\u1ea5t t\u1eadp trung v\u00e0o trung l\u1ed9 nh\u01b0ng th\u01b0\u1eddng b\u1ecf kh\u00f4ng gian b\u00ean tr\u00e1i \u1edf c\u00e1nh tr\u00e1i v\u00ec h\u1eadu v\u1ec7 c\u1ee7a h\u1ecd kh\u00f4ng ch\u1ea1y \u0111\u1ee7 nhanh cho n\u00ean ch\u00fang t\u00f4i nh\u1eafm v\u00e0 khu v\u1ef1c \u0111\u00f3 v\u00e0 th\u1eafng.\u201d<\/p>\n
Theo b\u00e0i b\u00e1o n\u00e0y, b\u00f3ng \u0111\u00e1 n\u1eb1m trong danh s\u00e1ch c\u00e1c m\u00f4n th\u1ec3 thao \u0111ang \u0111\u01b0\u1ee3c bi\u1ebfn \u0111\u1ed5i b\u1edfi Big Data. Vi\u1ec7c d\u00f9ng d\u1eef li\u1ec7u v\u00e0 th\u1ed1ng k\u1ebf \u0111\u1ec3 thu \u0111\u01b0\u1ee3c \u01b0u th\u1ebf c\u1ea1nh tranh \u0111\u00e3 t\u0103ng l\u00ean qua mi\u1ec1n r\u1ed9ng c\u00e1c m\u00f4n th\u1ec3 thao k\u1ec3 c\u1ea3 b\u00f3ng r\u1ed5, v\u00e0 tennis. V\u00e0o l\u00fac n\u00e0y, c\u00f4ng c\u1ee5 big data \u201cMatch Insights\u201d ch\u1ec9 d\u00f9ng ri\u00eang cho \u0111\u1ed9i \u0110\u1ee9c, nh\u01b0ng SAP c\u00f3 k\u1ebf ho\u1ea1ch \u0111\u1ec3 b\u00e1n n\u00f3 r\u1ed9ng r\u00e3i h\u01a1n trong t\u01b0\u01a1ng lai. T\u1ea5t nhi\u00ean, ph\u00e2n t\u00edch Big data c\u00f3 th\u1ec3 c\u1ea3i ti\u1ebfn th\u1ed1ng k\u00ea th\u1eafng cu\u1ed9c \u0111\u1ea5u nh\u01b0ng kh\u00f4ng th\u1ec3 thay th\u1ebf \u0111\u01b0\u1ee3c con ng\u01b0\u1eddi. Khi m\u1ecdi \u0111\u1ed9i \u0111\u1ec1u bi\u1ebft n\u00f3 v\u00e0 d\u00f9ng n\u00f3 th\u00ec c\u01a1 h\u1ed9i th\u1eafng s\u1ebd l\u00ean tr\u00ecnh \u0111\u1ed9 cao h\u01a1n v\u00e0 \u0111i\u1ec1u \u0111\u00f3 l\u00e0 tu\u1ef3 \u1edf c\u00e1c c\u1ea7u th\u1ee7 th\u1ef1c hi\u1ec7n.<\/p>\n
Tuy nhi\u00ean, nhi\u1ec1u ng\u01b0\u1eddi quan t\u00e2m b\u00e2y gi\u1edd v\u00ec vi\u1ec7c d\u00f9ng Big data c\u00f3 th\u1ec3 l\u00e0m t\u0103ng c\u01a1 h\u1ed9i th\u1eafng khi m\u1ecdi ng\u01b0\u1eddi c\u00e1 c\u01b0\u1ee3c v\u1edbi c\u00e1c tr\u1eadn thi \u0111\u1ea5u. M\u1ed9t ng\u01b0\u1eddi \u0111\u00e1nh b\u1ea1c gi\u1ea3i th\u00edch: \u201cCh\u1eebng n\u00e0o m\u1ecdi ng\u01b0\u1eddi \u0111\u00e1nh b\u1ea1c c\u00f2n ch\u01b0a bi\u1ebft c\u00e1ch d\u00f9ng Big data, v\u00e0o l\u00fac n\u00e0y ch\u1ec9 v\u00e0i ng\u01b0\u1eddi bi\u1ebft c\u00e1ch d\u00f9ng n\u00f3 v\u00e0 h\u1ecd s\u1ebd th\u1eafng r\u1ea5t l\u1edbn trong m\u1ecdi tr\u1eadn th\u1ec3 thao.\u201d<\/p>\n
<\/p>\n
—English version—<\/p>\n
<\/p>\n
Big data and world cup<\/p>\n
Even I teach and conduct research on Big Data analytics, I would never imagine that Big data can also be used in sports, especially in the 2014 World Cup. Last night I read a newspaper article about the use of Big data analytics in sports and how it gave essential role in winning the championship for Germany.<\/p>\n
<\/p>\n
According to the Wall Street Journal article, Big data is considered the “twelfth member” of the German team in the 2014 World Cup. Several months earlier, the Germany team coach worked with SAP Company to create special software called \u201cMatch Insights\u201d to collect and analyze the statistics of the skills of individual players and the whole team. Based on statistics and facts, the software created a solution to optimize team allocation, improve its playing capability, and find the way to destroy its opponents in soccer matches by analyzing the statistics of the adversary teams. They used cameras to capture the running speed, position, the time of members keeping the ball, defense movement details, and transformed them into a database where Big data analytics tool calculated every movement, speed and statistics then organized them into special information for the coach.<\/p>\n
According to the software, the key focus for German team this year is speed. Based on analysis of \u201cMatch Insights\u201d, the German team was able to change its average ball possession time from 3.4 seconds to about 1.1 seconds that means no player could keep the ball for more than 3 seconds. That style of faster play gave Germany 7-1 victory over Brazil, which included three goals scored within 179 seconds. Although Brazil controlled the ball for 52% of the game, but it had no chance because Germany passed the ball at full speed to create holes in the defense and took advantage. A Brazilian player admitted: \u201cWe were good at control the ball by playing our style of sophisticated maneuvering but they were too fast; German player never kept the ball long enough for us to control them. That is why we are destroyed by their faster speed.\u201d<\/p>\n
When it comes to positioning on the field, \u201cMatch Insights\u201d mapped out a \u201cvirtual defensive line\u201d that showed how much area a player can protect with his own body, and helped them to exploit the weakness of the opponent\u2019s setup. That was why even the best Argentina team could not penetrate the Germany\u2018s defense line. A German team member explained: \u201cInstead of playing the typical soccer game like anybody, we have a clear direction from the coach on what to do base on the instructions based on statistics and data analytics. When not practice, we watched videos on the performance of our competitors where the software showed us their weaknesses as well as what each player used to do. Based on these data, we knew how Cristiano Ronaldo often moves or how Messi like to do and the software explained to us how to counter that. For example, before the game against France, the software showed that the French were very concentrated in the middle but often left spaces on the left side because their full-backs did not run fast enough so we target that area and won.\u201d<\/p>\n
According to the article, soccer is among the growing list of sports being transformed by Big Data. The use of data and statistics to gain a competitive advantage has grown across a wide range of sports including basketball, and tennis. At this time, the \u201cMatch Insights\u201d big data tool is exclusive to the German team, but SAP has plans to sell it more broadly in the future. Of course, Big data analytics can improve a game winning statistics but cannot replace humans. When every team knows it and uses it then the chance would be more level and it is up to players to perform.<\/p>\n
However, many people are concerned now as the use of Big data could increase the chance to win when people bet on sport games. A gambler explained: \u201cUntil every gambler know how to use Big data, at this time only few know how to use it and they are going to win very big in every sport.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
Ngay c\u1ea3 t\u00f4i d\u1ea1y v\u00e0 ti\u1ebfn h\u00e0nh nghi\u00ean c\u1ee9u v\u1ec1 ph\u00e2n t\u00edch Big Data, t\u00f4i kh\u00f4ng h\u1ec1 h\u00ecnh dung \u0111\u01b0\u1ee3c r\u1eb1ng Big data c\u0169ng c\u00f3 … <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[],"class_list":["post-4376","post","type-post","status-publish","format-standard","hentry","category-xu-huong-cong-nghe"],"_links":{"self":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4376","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4376"}],"version-history":[{"count":1,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4376\/revisions"}],"predecessor-version":[{"id":4377,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4376\/revisions\/4377"}],"wp:attachment":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4376"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4376"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}