The Philadelphia 76er Analysis

Baseball has always been a game of numbers. Fans of the game have grown up being able to recite them by heart; Ted Williams’.406 batting average, Joe DiMaggio’s 56 game hitting streak, Babe Ruth’s 714 home runs. These numbers hold a special place in the history of the game. Statistics such as batting average, wins, home runs, and runs batted in have always been there to tell us who the best players are. Your favorite player has a .300 batting average? He’s an all-star. He hit 40 home runs and batted in 120 runs? That’s a Most Valuable Player Award candidate. Your favorite team’s best pitcher won 20 games? He’s a Cy Young Award contender. These statistics have been used to evaluate player performance

Has the question of how analytics is used by MLB front offices and coaches ever gone through your mind? MLB teams have thought of new, and very innovative way to use these new set of statistics. They have developed the new concept of defensive shifting, and the coaches have now been able to access many more different resources. These stats have given teams help to evaluate the level current players are playing at. The new wave of analytics gives teams a much different perspective of how to scout and manage the game. The groundbreaking wave of analytics has lead to the defensive shift, the different way of evaluating players, resources for coaches, sabermetrics, and the predicting of player injuries.

In this project, many different statistics were used to try and predict the winners of the NCAA March Madness tournament. To do this, statistics were tested from the previous year to see if they moderately correlated to winning games. When a stat is moderately correlated, that means it relates to winning. Using a scatter plot, a graph that gives a visual of whether or not a stat is correlated, correlation coefficients were found for each stat. The correlation coefficient is a decimal that shows if a set of numbers is moderately correlated. After finding stats that were the closest to being moderately correlated, a metric was put together that used the best stats to determine which teams will win games. The stat that was the closest to being moderately correlated was the turnover ratio of the teams. Another stat that was almost moderately correlated was RPI, or Rating Percentage Index. This stat uses a team’s win percentage, their opponents’ win percentage, and their opponents’ opponents’ win percentage to rank teams. Also, missed field goal percentage was a stat that was used.

The Philadelphia 76ers announced on Wednesday that they exercised team options on point guard T.J. McConnell and forward Richaun Holmes.

Q2. Describe the Sabermetrics approach and the new insights it provided about identifying and selecting baseball players.

The 2010-11 Dallas Mavericks possibly made the best title run in NBA history, a clear underdog in the season, to this day no one knows how the Mavericks were able to achieve this milestone. In this era of the NBA, the competition is fading away by the minute. With the emergence of an NBA “super teams” there is only about 3 teams out of 30 which have a certain chance to even “contend” for a championship. But this was all different about 7 years ago. About 7 years ago, the first ever NBA “super team” came together; The Miami Heat.

He goes into detail about Beane to have a better understanding of the present, including Beane’s coworkers. Lewis then examines Beane’s strategies for recruiting and his style of play and goes into detail about a certain strategy Beane utilizes. This strategy is known as Sabermetrics. Sabermetrics is simply the analysis of baseball by looking in to detailed statistics. It was invented by fans but was not widely accepted by Major League Baseball as an effective way to examine success. Lewis then focuses on Bill James, a dominant sabermetrician, and one of Paul DePodesta’s influences as

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

Moneyball is a book by Michael Lewis is all about the revolution of statistics that the Oakland A’s used to achieve great success at the turn of the century. Statistics are revolutionizing the way that all sports not just baseball. Some feel that it is revolutionizing sports in a bad way as it is taking out some of the heart of the game. Many of these detractors are people that had been using the old way their whole life and are are resistant to change. They do not realize the great benefit’s that this new of looking at statistics has provided, ultimately creating a more even playing field for everyone. This is because ultimately Statistics should be thought of as a valuable resource that should be used as much as possible because it is an

The use of computerized statistical analysis has developed into a vital tool in the world of sports. Using data analytics to project player abilities, indicative of their potential future performance, is now an important part of team decision-making. This analysis can provide information that makes the difference between adding a quality player, as opposed to one who does not perform up to expectations.

The Philadelphia 76ers continue to struggle in the ongoing regular season. Though they saw some brilliance lately, winning 6 out of their last 10 games, they are still at the bottom half of the Eastern Conference standing. Recent reports are now saying that they might trade Nerlens Noel to the Portland Trail Blazers before the trade deadline ends.

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

Some of the most memorable moments in history come when against great odds a small force is able to overcome problems that seem impossible. From David and Goliath to the American Revolution the use of novel strategy has allowed small powers to find the weakness of their enemies and expose it for great success. This can be applied in the modern world when looking at the use of proper data management and or statistical analysis by a small entity. With proper understanding of the marketplace, the small entity will be better suited for the market and will be able compete with larger entities that it would otherwise be unable to compete with. An example of this is shown in the book Moneyball by Michael Lewis with the Oakland Athletics’ ability to

The main article that went into this research covered nearly multiple methods to figure out an answer, but came out with no conclusion. In the article, "Modeling And Forecasting The Outcomes Of NBA Basketball Games", they refer to numerous studies and statistic’s trying to find any strategies to predict the winner of an NBA game. From the beginning, they mention how that they couldn’t find any evidence to support that the Las Vegas markets could be beaten. They show lots of credibility by looking at past studies, as well as looking at the variables that can go into the equation. They mention the injuries, back to back, chemistry, in such. The biggest convince part that they do is looking at studies that based on different strategies. Analytical formulas cannot just count for the stuff that the numbers know about. They look at studies based on different approaches to make sure they don’t miss anything. They couldn’t have been perfect. however, and they say that in the study. They did mention some flaws they could of missed like “Furthermore, more detailed information concerning injuries or suspensions of key players can be incorporated into the models for forecasting purposes.” (Manner, Hans. P.16) They also mention the changing of the game. These teams play sports to win. There are different playing styles, and methods that go into winning the game. The study starts in 2004 and ends in 2014. If you watched two NBA games, one being in 2004, and the other being in 2014. It’s

“Moneyball” movie is about the war between intuition and statistics. I would start my analysis with one of the many interesting quotes in the movie. “The problem we 're trying to solve is that there are rich teams and there are poor teams, then there 's 50 feet of crap, and then there 's us. It 's an unfair game. And now we 've been gutted. We 're like organ donors for the rich. Boston 's taken our kidneys, Yankees have taken our heart. And you guys sit around talking the same old "good body" nonsense like we 're selling jeans. Like we 're looking for Fabio. We got to think differently. We are the last dog at the bowl. You see what happens to the runt of the litter? He dies.” (Moneyball movie, 2011)