David Ortiz Scatter Summary Statistics

The book Moneyball by Michael Lewis is about a former major league baseball player who became the manager of the Oakland A’s. It tells the story of how he led the team to success despite their low budget by using computer based analytics to draft players. With the help of Bill James, the Oakland A’s came up with a new plan based on statistics to draft players. He went after players nobody wanted due to their low budget and his new plan. Billy led the Oakland Athletics to a successive win seasons by changing the way he measured players. He abandoned the traditional 5 “tool” the other scouts used and adopted empirical analytics. The abandonment of the traditional assessment of

Baseball statistics are meant to be a representation of a player’s talent. Since baseball’s inception around the mid-19th century, statistics have been used to interpret the talent level of any given player, however, the statistics that have been traditionally used to define talent are often times misleading. At a fundamental level, baseball, like any game, is about winning. To win games, teams have to score runs; to score runs, players have to get on base any way they can. All the while, the pitcher and the defense are supposed to prevent runs from scoring. As simplistic as this view sounds, the statistics being used to evaluate individual players were extremely flawed. In an attempt to develop more

Another issue is players who have broken records and tested positive for steroids during the period they broke the record. “Although increased speed and arm strength have also been linked to the use of steroids, home run statistics have glaringly

He hit 600 home runs (5th most all time), won 10 gold gloves, and made 13 All Star Games. In almost 150 years baseball history, only the great Willie Mays can match Ken Griffey Jr. in these statistical categories. However, despite these extraordinary stats, Ken Griffey Jr. may be the ultimate “What Could Have Been” player. An incredibly promising career was derailed in the latter half by chronic injuries that robbed him of hundreds of games. If not for these injuries, Griffey was well on his way to becoming the Home Run King (Stark, 2010) and possibly the greatest player ever. Despite these setbacks, Griffey is still revered as one of the greatest and most popular MLB players ever. The savior of baseball in Seattle and the lone star to

As I mentioned previously in the paper, the media plays a huge role in the development of people perceptions and attitudes towards certain things that occur in the modern history. The link between the growing popularity of the baseball as well as increased attention to the steroids used represent topics that were highly affected by the media. The article by Healey Fall Of The Rocket: Steroids In Baseball And The Case Against Roger Clemens (2008) reveals how the drug policy has developed over time. This source explains and examines Major League Baseball’s drug policy through the years of its evolution. It uses great examples of what used to be allowed to consume and what has been banned through the growing rules in baseball. The author also breaks down how the “Steroid Era” affected baseball from numbers of standpoints and points out the greatly risen home-run numbers that include the great home-run chase between some of the game’s greatest sluggers of all time. Therefore, previously mentioned research about the home-run probability was affect by the growing trend of examining professional players’ performance.

However, a lack of motivation inspired hitting .300/.363/.511 with 19 doubles, 26 home runs, 49 walks, and 107 strikeouts that year. Altogether, he hit a .304/.366/.523 that season with 20 doubles, 28 homers. 102 RBI, 50 walks, and 10 strikeouts. He fell on a rough patch, therefore he trained intensively on his pitching, because his teammates needed him to win that season. Nonetheless, the rough patch became a temporary problem as his teammates and staff helped him to improve and his motivation to improve exceeded which ultimately reflect on his stats towards the end of the season.

The article “The Clutch Gene” by Darren Fenster from Coach & A.D. this article is about “arguably the game’s most clutch hitter of all time.” “Ortiz was a .289 hitter with 17 homers, 61 RBI, and 51 runs scored in 85 postseason games.” He consistently was on the top of his game. In 2013, he suffered an Achilles injury while rehabbing he took every rep he could get and used it to make him better than he was before. He trained as if he was hitting against the Hall of Famer from the Yankee’s, Mariano Rivera. Rivera kept hitters to a “miniscule.177” but Ortiz managed to hit a .310 against him. How he could do this was because he trained to be ‘clutch’. To be ‘clutch’ you need three things, to always work with a purpose and a plan, mentally put yourself

In baseball a common factor for determining the quality of a player is batting average. (# of hits/# of bats) This statistic helps to show a player's ability to successfully make contact with the ball, which leads to RBI’s (runs batted

Murphy, Bridget. “The Effects of Peds in Baseball.” Loyola Phoenix, 10 Sept. 2013, loyolaphoenix.com/2013/09/20200/. Accessed 18 Jan. 2017. PED’S aren’t what make baseball players great. They still have to hit the ball and throw the ball before the PED’S can do something to take their game to the next level. I can use this to show that PED’S aren’t everything and that you have to have skill to even have the PED’s work. Also every player is great before they use PED’S so they don’t depend on it at first like other people

Batting average was the norm adopted by other baseball teams. But training for Oakland was focused on the player’s ability to obtain on-base scoring. The team relied more on selecting players by their on-base percentages. According to Sabermetrics model, teams always win with players having attained high on-base percentages.

We can also say that this model, on average is off by 0.3 points predicting the percentage on balco scandals. It is possible to say, with R$^2$ statistic that the model accounts for about 30\% of the variation of the batting average. I think this model

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

Since the old days, the game of baseball has changed tremendously and players are held to a much higher standard than those players long ago were. However, one thing that will never change in this game is the struggles that players endure. Playing one hundred and sixty two games each and every season definitely has a significant impact on player’s performance. The biggest effect on performance is sleep. Sleep, or a lack of it, definitely has its effects on common people but for baseball players sleep is one of the most important things for them (“Lack of Sleep and Hectic Schedules Impact Baseball Players’ Performance and Longevity”). Many people, when they think of baseball, think that players have to be extremely talented when hitting,

After showing that Billy Beane revolutionized the player recruitment process, Lewis delves into how Beane went about doing so. Beane referenced largely to what were known as sabermetrics, which was a fan made statistics system that determined a player’s abilities to succeed that had not yet been accepted by the Major Leagues. In Beane’s studies of sabermetrics, he honed in on a sabermetrician by the name of Bill James, who aids him in his recruitment process.

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.