In dit themanummer treft u interessante artikelen en interviews aan over Data Science en aanverwante technologieën. “A lot of this stuff, because it’s brand new, they don’t want other people to figure out how they’re using it,” Kopp says. I’m proud of those achievements in launching the product and there are takeaways from what we did that apply to business intelligence projects to this day, over two decades later. The executives interviewed for this story spoke slowly and cautiously, careful not to share anything with the teams trying to beat them. These data have been used for a number of years by players and their coaches during practice sessions as well as during tournament preparation, highlighting the areas in which that player needs to improve before teeing it up in tournament play. But the stats being tracked by these blazer-wearing NBA lifers -- both during the game and in the film room -- are nothing compared to what’s being done by tiny cameras in the rafters of a number of NBA arenas. We came up with the idea of a player order ranking, which we prepared a default for the coaches based on player height, and this ranking plus the players on the floor determined which positional slot to put each player in as the attributes – using the order of point guard (PG), shooting guard (SG), small forward (SF), power forward (PF) and then center (C). This style is an incredibly far cry from the NBA of recent decades, in which legendary teams such as the Bulls, Jazz, and Rockets of the 90s as well as the Lakers, Celtics, and Suns of the 2000s played in strict routines such as the triangle offense and isolation-based play while emphasizing the physicality of defense. Our team created and launched IBM’s Advanced Scout, the first data mining software used by NBA teams which within two years was used by 24 of the 28 NBA teams, powered a regular content series “Beyond the Boxscore” on NBA.com, and was covered in a host of publications including Wall Street Journal, Sports Illustrated, Washington Post, Computer World, CIO Magazine and Wired Magazine. When the Magic got home after the second loss, Sterner spent three hours in his office plugging questions into the Advance Scout program. Some teams don’t see a use for it right now. At the time, the most common basketball success metric was field goal percentage. “Until we have 30 teams, we still think we’re in the 5-10 percent range of what we could be doing with this. Kevin 'Al' Pelton is a sportswriter who writes for ESPN.com and has previously written for BasketballProspectus.com, 82games.com, Hoopsworld.com and SI.com. The latter tend to be influenced more by playing time than by quality of play, yet remain the most common metric of player performance. Armstrong’s performance in the playoffs was nearly double his points and minutes from the regular season, while upping his shooting performance to 48% from the field. They can learn Shane Battier should only shoot threes from the corner, while Dirk Nowitzki shoots better from the wing and top of the key. 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Yet the most profound change to the NBA caused by analytics, the rise of the three-point shot, was a result of simple math. These video coordinators became trusted advisors to head coaches. Like when Harvard students were toying with home computers in the early 1980s, there’s no telling where this player tracking technology might take basketball analytics. This story is covered in multiple outlets and you can see in the links at the end of this article. I also wrote hundreds of stat insight articles for NBA.com under the Beyond the Box Score banner which are no longer archived on the site. Some of this data’s useful. Many statisticians attribute the popularization of sports analytics to current Oakland Athletics General Manager, Billy Beane. Don’t force it. Flick the wrist. Shortly after 3 a.m. he unearthed a nugget: With reserve point guard Darrell Armstrong on the floor, Orlando had outscored the Heat by 15 points during the two games. It will be meaningful if we can tell the coach if a certain player is making the difference, or a combination of players or matchups is making the difference. Among the growing list of advanced basketball statistics, here are some of the simplest and most important ones gaining increased usage: Offensive Rating/Offensive Efficiency and Defensive Rating/Defensive Efficiency, on a team level, are calculated as points scored and points allowed per 100 possessions. Inderpal saw an opportunity, asking the question, “Where’s the opportunity to apply these new data mining algorithms to the NBA using this new play-by-play data resource?”. In 2004, Oliver was hired as a full-time consultant by the Seattle SuperSonics, making him the first publicly acknowledged APBRmetrician to be employed by an NBA team full-time. We couldn’t just throw the list of players on the floor in an unstructured data format, it needed to be a structured data format that would work as an input to the data mining engine. His Player Evaluation Rating (PER) is a better linear metric system than most of what preceded it[according to whom?] These statistics track each shot a player takes in tournament play, collecting information on how far the ball travels and exactly where each shot is played from and where it finishes. But STATS is still meeting and working with the teams it doesn’t have. The growing field of quantitative analysts in basketball includes, but is not limited to, the following: Ben Alamar is the founding editor of the Journal of Quantitative Analysis in Sports. The Toronto Maple Leafs were the first team in the NHL to hire a member of management with a largely analytical background when they hired assistant general manager, Kyle Dubas, in 2014. Player tracking transforming NBA analytics. Armstrong played a much more prominent role from there forward, the Magic won both games three and four and gave the Heat a run in game five. Select a team above, and zoom in to explore its history. About Advanced Analytics. Many teams have turned Kopp down when he made his pitch. Perhaps the greatest change is the banishing of hand-checking from basketball, a rule introduced in the 2004-2005 season that greatly influenced teams such as the Phoenix Suns who first began experimenting with a run-and-gun style of offensive play that forced them to attempt to score in seven seconds or less. Shooting: Shoulders square. “The best thing for me to do is show them data of their own players, and they’ll ask, ‘How do you have this?’” Kopp says. The ultimate goal -- and wide belief -- is the NBA will purchase the technology and the data will be available to all teams and broadcast networks. Hollinger's work is read by many mainstream fans who are not familiar with APBRmetrics in general, making him instrumental in introducing the system to regular NBA fans. APBRmetrics is a cousin to the study of baseball statistics, known as sabermetrics, and similarly takes its name from the acronym APBR, which stands for the Association for Professional Basketball Research. This personal breakthrough carried over as for the next four seasons his minutes per game increased and he became a more and more prominent part of the Magic. I attended the Boston Business Intelligence meetup at Microsoft last week. Dubas, similar to Theo Epstein in the MLB, has never suited up in a professional game and relies on the numbers generated by players on a nightly basis both now and in the past to make decisions.[9]. On-field analytics deals with improving the on-field performance of teams and players. So STATS, led by vice president of strategy and development Brian Kopp, sought out the most tech-savvy NBA teams for a test run during the 2009-10 season. Advancements in data collection have allowed for sports analytics to grow as well, leading to the development of advanced statistics as well sport specific technologies that allow for things like game simulations to be conducted by teams prior to play, improve fan acquisition and marketing strategies, and even understand the impact of sponsorship on each team as well as its fans. Other highlights from this included being featured in an IBM ad campaign (featuring Inderpal photo in a full page print ad), assisting the 1996 Olympics teams in Atlanta, and featured in numerous IBM and NBA events including the Olympics and All Star games. His research dealt with the importance of pace and possessions, how teamwork affects individual statistics, initial crude defensive statistics, and the highly debated topic of the importance of a player's ability to create their own shot. The NBA in 1976 fielded teams who on average made 42.8 shots per game on 46.5% shooting, all of which were recorded as two pointers due to the lack of a 3 point line that would be introduced in 1979. The three point line would change this and its effect is particularly noted in the NBA as of 2016, with the Warriors essentially building its core from 3 dominant shooters that could create separation between the floor and lead to easy points in the inside. The goal was to find a more objective method of analyzing player performance and to find the most productive mix of players within the salary cap or budget. Here’s the ESPN box score from the recent Christmas Day game between the Warriors & Cavs. And, again, all of this is in the early stages. How do teams use this information? The American company STATS purchased SportVU in 2008 and turned its focus to basketball. He is currently an assistant coach with the Washington Wizards. Bob Bellotti was one of the first APBRmetricians, having invented "Points Created", a player rating system that attempted to boil all of a player's contributions into one number (similar to Bill James' runs created). A second core tenet is that per-minute statistics are more useful for evaluating players than per-game statistics. Finally Per 87.5 takes into account DRTG and ORTG into its formula. Daryl Morey, the General Manager of the Rockets decided to emphasize three point shots and used analytics to support his argument[14]. Besides the addition of plus-minus and shot attempts blocked, the NBA box score hasn’t changed for decades. Well, that depends on the team, depends who you ask and depends what they’ll tell you. The Mavericks were analyzing motion sensor data in their 2010-11 championship season. With analytics being relatively common in the MLB, there are a breadth of statistics that have become vital in the analysis of the game, which include: The NHL has kept statistics since its inception, yet it is a relatively new adopter of analytics-based decision making. Almost instantly, coaches and stat guys have this information at their disposal on their computer or iPad. The next year, the Boston Celtics and Golden State Warriors jumped in. Dan Rosenbaum was a consultant for the Cleveland Cavaliers and the Atlanta Hawks. (Player Statistic/Pace/Possesions*7500/(OPR or DPR)*ORTG or DRTG). Honestly speaking though, sports analytics has come a really long way from the times of Moneyball. So for example, I got into basketball around the 1989-90 Knicks – so let’s take that team as an example. These days Tim Duncan looks like he’s rushing to the front of a nursing home cafeteria line while getting back on defense, but he’s still putting up double-doubles and controlling the paint.