Summary of Sabermetrics 101: Baseball Analytics | Andy Andres | Talks at Google

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00:00:00 - 01:00:00

This video discusses the use of baseball analytics, which is the statistical analysis of baseball data. It covers the history of sabermetrics and how it has changed the game of baseball, as well as current technologies and data being used to make decisions in baseball.

00:00:00 Professor Andres discusses the history of sabermetrics and how it has changed the game of baseball. He also discusses current technologies and data being used to make decisions in baseball.
00:05:00 Sabermetrics is the statistical analysis of baseball data, and sabermetrics is not the statistical analysis of baseball data of pitches. The video shows an example of slow motion of a pitcher from 2010, and you can see how the pitch curves differently depending on the spin put on it by the pitcher.
00:10:00 Sabermetrics 101: Baseball Analytics covers the use of video analytics to study the movement of baseballs. The course covers topics such as the definition of sabermetrics, how to use video analytics to study baseball, and how to create tracks to focus on specific areas of study.
00:15:00 The Grader was a computer program developed in the early 1980s that attempted to grade each answer to a SQL query submitted by students in Andy Andres' class on sabermetrics. Batting average was found to have a low correlation with team run scoring, and a simple formula that measures hits added to walks was found to be a more accurate metric. This simple formula was developed in the early '80s and has since revolutionized baseball analytics.
00:20:00 In the 1980s, baseball analysts discovered that the market inefficiency was wide open - there was room for improvement in the game because of the lack of understanding of sabermetrics. In the 2010s, baseball analysts have developed a new way to measure pitching performance using technology and new data. Jose Quintana, a left-handed pitcher, is shown to be more skilled than Jon Lester, a left-handed pitcher, using the same five pitches.
00:25:00 In this video, Todd Frazier, a baseball player from New Jersey, is discussed. Todd's right hand is off the bat at bat-ball contact, but his left hand is also off the bat. Frazier is considered to be throwing the bat at the ball, and this is not classic baseball. Frazier's home run, which went over 400 feet, was a result of his throwing the bat at the ball. Frazier's average batted ball velocity is 103.6 miles per hour, and his launch angle is estimated to be around 45 degrees.
00:30:00 In baseball, a launch angle is important to understand in order to hit a home run. Andy Andres explains this in detail with data from three different sources- video analytics, 2009 PITCHf/x data, and 2015 radar data. All of this information helps players understand what a home run looks like and what is necessary to hit one.
00:35:00 Andy Andres discusses the importance of baseball analytics, focusing on the batted ball data provided by Baseball-Reference. He discusses how velocity and batted ball distance are correlated, and how, by understanding this information, a smart GM can make better decisions. Trumbo, at the top of the list of power hitters based on batted ball velocity, is a surprise to some, while others, such as Stanton and Cabrera, are very close to the top.
00:40:00 The video discusses how radar technology has revolutionized baseball analytics, allowing for the tracking of player movement and performance in all aspects of the game. The technology is present in most major league ballparks, and is being used to better measure defense and offense.
00:45:00 The video discusses baseball analytics and how big data is being used to better understand player performance. It discusses how Relative to other data sets baseball was considered data rich, but this is now beginning to change with more sophisticated analytics using big data. There is a lot of work being done by Major League Baseball to help teams use this data effectively. Finally, the video demonstrates how different players hit the ball differently based on their strike zones, something that is often overlooked by fans.
00:50:00 The video discusses the use of baseball analytics, which includes analyzing each batter's strike zone. Some teams are better at this than others, and it is a combination of spending money on data collectors and hiring the best analytics personnel.
00:55:00 In baseball, teams are using various forms of data analytics in an effort to gain an edge over their opponents. This open-source dataset allows all 30 teams access to the data, and academics have discovered a new metric that can be used to measure player performance. While cross-talk between teams is minimal, sharing data among teams is essential for improving player performance.

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Andy Andres discusses baseball analytics and its importance in terms of the movement of pitches, command, and sequencing. He shows how these factors can be analyzed in different ways and how they can impact the game. He also mentions the importance of playing in smaller stadiums with strong hitters.