Professional Sports Analytic Analysis

Major League Baseball continues to adapt to the ever changing technological landscape as the fan’s attention span gets shorter the more and more options teams have to present in terms of connect ability and entertainment. “One common explanation is that in an age of ever increasing speed and shrinking attention spans, the pace of baseball games is just too slow” (Taylor). The attempt to link technology to a Major League fan to the live action is what top baseball executives are determined to achieve while gaining critical customer relationship management data. CRM generates an organization’s sales leads, marketing targets, and many other important tools utilized throughout the business processes.

Moneyball profiles Billy Beane, the general manager of the Oakland A’s, who used OBP as well as other Bill James’ statistics and theories to maximize his limited budget to lead his team to the longest winning streak in MLB history at the time. However, even Lewis, who for the majority of the book praises James and his methods, remarks that, “The statistics weren’t merely inadequate; they lied.” This was the first application of statistics to rate and select athletes, so they were not perfected or used properly. Even so, with our increased knowledge of the analytics themselves and a better understanding of their applications, statistics have become a much more reliable tool to become a successful organization. Bill James started not only the use of stats in baseball but also the controversy behind

The Philadelphia 76ers this past season has was the worst team in the NBA. Not winning a championship since 1983, they seemed to come close to the title throughout the years. Now, under new management, the Sixers began to use applications of competitive analytics to step back out onto the playing field (or court). Using the key points as described in Thomas Davenports “Analytics of Competing,” the 76ers seem to be starting a new era of basketball and it all has to do with analytics.

Instead of the previous notion where money buys championships, Beane was able to bring the Oakland Raiders, a relatively poorer team, deep into the playoffs. General managers are expected to draft players off of previous numbers which in turn should predict potential performance. Wearable technology will streamline this process and make it easier for the front office to forecast future numbers. Seattle Sounders, a professional soccer team in the league MLS, are sponsored my Microsoft. The company has offered and started implementing a program called the SQL server and fitness-tracking technology. The server lets coaches and managers see the fitness of the players in a holistic view. The player’s energy output, endurance, sleep patterns, nutrition and fatigue levels represent the core aspects of a healthy athlete. As coaches watch players’ stats onscreen they will have access to immeasurable statistics, which should catapult athletic programs to higher levels of efficiency and accountability. Though the tech is designed to cater to athletes, the benefits ultimately point back up to the general managers. The job, once an unnoticed backroom profession, is now tracked and analyzed with such precision by fans and the sports media that job security has dropped precipitously. In an industry where winning is the only ingredient to GM’s job security, the

Analytical data includes different psychological aspects of a player’s mentality. Stopwatches record times, tape measures calculate distances and heights, plus video gives scouts and coaches a visual look at player performance. However, for all their usefulness, they do little more than categorize athletes based on a series of numbers.

There is a field in the sport of basketball that is growing at a rapid pace. That field is called analytics. Nearly every team in the NBA now has an analytics department. However, it is important to fully understand analytics before applying that knowledge to the sport of basketball. “Analytics is the discovery and communication of meaningful patterns in data” (Stolbunov 1). Analytics being used in sports is simply called sports analytics. Even though analytics has its flaws, it has had a major impact on team building in basketball using statistics like player efficiency rating and effective field goal percentage. There are many important statistics used in analytics, but a couple are used to very great effect.

However, as every team's goal is to win, there is no doubt that it was only a matter of time before other teams adopted similar methods. Apparently, this would inevitably eliminate the competitive advantage that Oakland Athletics has over their competitors. If that happens, as it inevitably will, Oakland Athletics will have to find another competitive edge as the application of sabermetrics will no longer be a factor in any team’s success.

The topics they would cover are; the number of lottery picks that team has had in the draft over the years, the number of all-star players a teams has, or how salary caps effect professional sport team’s performance. I have also seen studies that have taken all stats from players to see what makes each team successful when it comes to winning championships (cite these). In contrast, this paper examines success at the individual or player level. By assessing which statistics have the highest rate of return, this paper will help current and future NBA players better understand the most valuable contributors to

I heard that there are two types of Sports Statisticians and It is academic and recorder. Academic Sports Statisticians use data to look for trends. For example, A hockey player named Robert Schutz recently analyzed overtime. The National Hockey league Record book provided with all the overtime games over the past ten years, he explains. They use the data to decide the value of overtime and to determine how long is a overtime period. Sports Statisticians usually have a master’s degree or very intelligent in Mathematics and Statistics. They are often university professors. They pursue Sporting Statistics as an interest.

Based on the article by Sampio, Jamie; McGarry, Tim; Calleja-Gonzalez, Julio; Saiz, Sergio Jimenez; Alcazar,Schelling and Balciunas, Mindauhas (2015) “One of the most common methods of monitoring sports performance is using game-related statistics to evaluate technical and tactical behavior”. There are people who can rave about a team's overall statistics or just an individual player, especially when their trying to prove their point in a dispute against an opposing team fan. Statistics can show evidence in ranking which player is worth talking about. A person who bases their favorite basketball team by statistics can easily back up their information by showing numbers. No matter what any other person can throw at them, they will be quick to mention how many championship rings a player has gotten, or how many championships a team has won overall. They will have knowledge in their team player's overall shooting percentage as well as their rebounds, assists and so on. So, if a person is deciding their basketball team by statistics, they will have a pretty good advantage in always proving their team as the best by evidence in

Daily Fantasy Sports have become very popular and at least in the near future, I think this popularity will continue to increase. As more and more fantasy owners enter this spectrum, simply looking at basic statistics will no longer suffice if you are looking to get the edge over the general public. Season long fantasy football is a great example as everyone has a basic understanding of what to look for and how to use that information. With baseball in general being driven by advanced statistics, it only makes sense to pick up on these different methods of evaluating players and how to incorporate them into your daily fantasy baseball research.

In the NBA, statistics and analysis are drastically changing the in which decisions are being made. Cameras are being put all around the courts, allowing analysists to collect and process data on every player, every team, and every type of shot. Teams and coaches are beginning to make more and more well-informed decisions with the help of this data.

Around the beginning of the 2010’s, a shift in decision-making in sports began to come to light, as franchises began to rely on analytics, which involves collecting data and finding patterns and trends usually through statistical methods, to build rosters and make in-game decisions as opposed to just relying on traditional scouting methods and “eye-tests” to do so. Over this time in the NHL, analytics has revealed puck possession as being the biggest contributing factor to consistently scoring goals while limiting the amount of goals the opponent scores, and therefore winning more games. The corsi statistic, which logs all shots attempted by a team or a player, usually reflects the best players and teams in the league. However, the nature of

After earning a sport management degree, a majority of college graduates want to go into the field of professional sports. The reasons for this are usually because students believe that jobs in professional sports are glamorous and pay extremely well. However, it is very difficult to get into with the high amount of college students trying to get into professional sports. The professional sport industry is responsible for creating sporting events in which athletes compete for compensation (Masteralexis, Barr & Hums, 2012, p. 232). It is essentially a business that sells the product of sport through tickets to games, merchandise, and other things to their fans. These are all ways that an organization makes their money, but a large portion of

Data is the magic word that we constantly hear amongst every employee at this institution. Analytics is using data to make decisions such as funding, staffing, and various resources. Analytics helps us to answer the question of “why we do what we do”. The problems leading up to the