NBA drafts big data

徐晨瀚


D0740916


https://www.rc.fas.harvard.edu/news-home/feature-stories/nba-drafts-big-data/


Nowadays, exercise science has become a trend which widely using in sports, and NBA has no exception. The researchers from Harvard create a statistical framework for basketball analytics, using sample from an NBA season. They collected almost half of NBA arenas and locations of players on the court as data set.

To sort out these data, they proposed the theory of assigning a value to each basketball possession, in this way, they can put sportVU data with metric such as player score ability, player ball handing, player shooting ability, and so on. Running these information give a lot of help on predicting their expect possession value. Either couch or rivals can using this data to adjust the line-up or tactics. Moreover, each players' ability could influence their expect possession value, for example, Rubio is poor at shooting, each time he takes a missing shot it would be statistically preferable if a teammate took it instead.

In my opinion, through exercise science to analysis players' practice can help them know their weakness and strength. While different players have their own way to ball and every game has numerous condition, the result from computation don't lie.

As datasets grow in size, importance, the NBA will not be the only league that recommend data analytics. In the United State, sports data analytics even using in academic games. I believed that big data will be more widely spread in different fields.

Comments

  1. kevinJune 25, 2020 at 10:03 AM

    In a movie "Magic Ball" I have watched, team managers use big data to manage the team. Today's NBA also starts to play with big data. The best use of it is the Houston Rockets. Over the past 10 years, the Rockets have performed mediocre, but after starting to use big data analysis to schedule, the NBA teams have followed suit.
    NBA players are all majestic on the field, but in fact each game is two teams, constantly calculating the data war.
    Houston Rockets player Michael Carter Williams: "These big data are of course very important. I think this will give us a little advantage. You know that maintaining data and intuition is not easy." The era of scoring by luck is no longer there. Nowadays, NBA teams rely on big data analysis to decide where players should stand, how to throw and what to throw, and it is the Houston Rockets that makes the most of it.
    The general manager of the Houston Rockets installed a video tracking system on the ceiling of the stadium to collect players' actions and find the key to winning. Theoretically, the closer to the rebound, the easier it is to score, but after his analysis, because of the three-point line on the court, shooting outside the line is more efficient than standing in the middle of the distance, relying on this tactic. The Houston Rockets made the league's best 65 wins and 17 losses in the 2018 regular season.

    Big data analysis companies use artificial intelligence to analyze all NBA players and want to develop a set of software. In the future, it will not be ruled out that the side coaches can receive information to judge opponents' shots and goals.

    Nowadays, NBA teams regard technology and big data as grandchildren's art of war. There is no longer just more data fighting between teams than strength.

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  2. SafooJune 26, 2020 at 11:38 AM

    As this blog said, exercise science has become a trend which widely using in sports, so NBA also do a great job on it, in order to classify these data, they put forward the theory of assigning values ​​to each basketball owner, so that they can put sportVU data into indicators such as player scoring ability, player ball control ability, player shooting ability and so on. Running this information can provide a lot of help in predicting its expected value. The sofa or opponent can use this data to adjust the lineup or tactics. Moreover, each player's ability will affect their expected value. For example, Rubio's shooting ability is very poor. Every time he misses a shot, statistically speaking, if it is a teammate, it will be a better choice. So i think that analyzing the practice of players through sports science can help them understand their weaknesses and strengths. Although different players have their own ways of serving and each game has many conditions, the calculated result is not a lie. So i think big data can use more extensive in our daily life. That is why I support this blog's view.

    ReplyDelete
  3. kyungminJune 28, 2020 at 9:49 PM

    Nice sharing, I love watching NBA, in the recent year I noticed that they have changed their original ways of draft and track a player's performance. They use big data to help them make better decision which I think it's a new concept in NBA league. Thus, I believe that in the future, we can see more whole new transformation in NBA. Besides, I knew that NBA use video tracking system to help make decision recently. And from your article, with devices using cloud computing, fans can access the database to gain access to vast amounts of highlights and statistics. Also, fans can find the latest highlights involving their favorite players, or they might search for data of how one player specifically performs against another. It’s essentially wide open for how fans want to contextualize the information, but it can be particularly valuable for crafting better stories and informing people who follow basketball. The article takes Larry Bird for example, who is a legendary player in NBA history. However, the author stated that the three point scoring is not an efficient way to win because this full of risk. According to statistics, two point shooters need only 33 percent to achieve the same way. Overall, teams know the strategy as well as the players’ stamina. Still, they have to combine their original ways with big data to improve their decisions. And this makes NBA a new transformation to bring us the whole new visions. It’s interesting for me to know this information.

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