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Book Win and Run Prediction in Major League Baseball

Download or read book Win and Run Prediction in Major League Baseball written by Alidad Far Tash and published by . This book was released on 1998 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Using Conventional and Sabermetric Baseball Statistics for Predicting Major League Baseball Win Percentage

Download or read book Using Conventional and Sabermetric Baseball Statistics for Predicting Major League Baseball Win Percentage written by Victoria DeCesare and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Major League Baseball is dominated by statistical analysis; one cannot watch a baseball game on the television without hearing and seeing a plethora of statistics such as batting average, runs batted in, earned run average, and the list goes on. In addition to these popular stats that most people are familiar with, there are several, more complex baseball statistics -- known as "sabermetric" statistics -- that have been developed over the past few decades that seek to evaluate players and the game more scientifically and comprehensively. However, with all of these stats available, it is easy to get caught up in the data and overlook the main goal of MLB teams: to win games. With this in mind, the goal of this research is to explore some of the numerous baseball statistics available, both the traditional and modern ones, and observe which ones are truly the best at predicting wins. Encompassing this, is it better to use the more complex methods in analyzing how teams win, or does it hold true that "less is more"? This research seeks to answer these questions and to provide a unique perspective for fans and managers alike when trying to make use of the ever-growing world of baseball data.

Book SPORTS METRIC FORECASTING

Download or read book SPORTS METRIC FORECASTING written by William Mallios and published by Xlibris Corporation. This book was released on 2014-07-29 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outcomes of major league games—winning/losing margins and total points scored relative to the odds makers’ lines in baseball, basketball and football—are graphed in terms of sports metric candlestick charts and then forecast in terms of adaptive drift modeling. The charts are constructed to reveal ad hoc forecasting patterns that may contribute to effective forecasting. These patterns are then included with variables contained in major sports data bases. The augmented data bases then provide input variables in the drift modeling forecasts.

Book Trading Bases

Download or read book Trading Bases written by Joe Peta and published by Penguin. This book was released on 2014-03-04 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: An ex–Wall Street trader improved on Moneyball’s famed sabermetrics and beat the Vegas odds with his own betting methods. Here is the story of how Joe Peta turned fantasy baseball into a dream come true. Joe Peta turned his back on his Wall Street trading career to pursue an ingenious—and incredibly risky—dream. He would apply his risk-analysis skills to Major League Baseball, and treat the sport like the S&P 500. In Trading Bases, Peta takes us on his journey from the ballpark in San Francisco to the trading floors and baseball bars of New York and the sportsbooks of Las Vegas, telling the story of how he created a baseball “hedge fund” with an astounding 41 percent return in his first year. And he explains the unique methods he developed. Along the way, Peta provides insight into the Wall Street crisis he managed to escape: the fragility of the midnineties investment model; the disgraced former CEO of Lehman Brothers, who recruited Peta; and the high-adrenaline atmosphere where million-dollar sports-betting pools were common.

Book 50 Moments That Defined Major League Baseball

Download or read book 50 Moments That Defined Major League Baseball written by Rocco Constantino and published by Rowman & Littlefield. This book was released on 2016-05-20 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Baseball is a game of incredible moments, awe-inspiring feats, and dramatic finishes. But not all of these events actually impacted the game itself or the players still to come. Moments such as Lou Gehrig’s last Opening Day appearance, the very first All-Star game, or Mickey Mantle’s first game to hit home runs from both sides of the plate are iconic not because they were game-changing plays, but because they affected the course of baseball history. In 50 Moments That Defined Major League Baseball, Rocco Constantino provides a fresh history of the national pastime by recounting the most extraordinary and iconic moments—both renowned and obscure—that shaped the game as it moved from the Dead Ball Era, through World War II, and on to the modern era. Events include Jackie Robinson’s first All-Star Game, Babe Ruth’s 50th home run in his first season as a Yankee, Hank Aaron’s first career home run, and many more. Highlighting these moments are Constantino’s exclusive interviews with over 50 former Major League Baseball players, managers, and umpires, as they candidly share their memories and provide commentary on these impactful events. Many of the players interviewed played in the World Series or an All-Star Game, including Rod Carew, Fred Lynn, Shawn Estes, and Jeff Montgomery. 50 Moments That Defined Major League Baseball features rarely seen historic photographs of baseball immortals and modern photos of today’s stars. With two bonus chapters that include first-hand entertaining anecdotes from baseball icons and moving statements about those who helped them reach the sport’s pinnacle, this book is an engaging read for baseball fans and historians alike.

Book Sandlot Stats

    Book Details:
  • Author : Stanley Rothman
  • Publisher : JHU Press
  • Release : 2012-11-01
  • ISBN : 1421408678
  • Pages : 587 pages

Download or read book Sandlot Stats written by Stanley Rothman and published by JHU Press. This book was released on 2012-11-01 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sandlot Stats uses the national pastime to help students who love baseball learn—and enjoy—statistics. As Derek Jeter strolls toward the plate, the announcer tosses out a smattering of statistics—from hitting streaks to batting averages. But what do the numbers mean? And how can America’s favorite pastime be a model for learning about statistics? Sandlot Stats is an innovative textbook that explains the mathematical underpinnings of baseball so that students can understand the world of statistics and probability. Carefully illustrated and filled with exercises and examples, this book teaches the fundamentals of probability and statistics through the feats of baseball legends such as Hank Aaron, Joe DiMaggio, and Ted Williams—and more recent players such as Barry Bonds, Albert Pujols, and Alex Rodriguez. Exercises require only pen-and-paper or Microsoft Excel to perform the analyses. Sandlot Stats covers all the bases, including • descriptive and inferential statistics • linear regression and correlation • probability • sports betting • probability distribution functions • sampling distributions • hypothesis testing • confidence intervals • chi-square distribution Sandlot Stats offers information covered in most introductory statistics books, yet is peppered with interesting facts from the history of baseball to enhance the interest of the student and make learning fun.

Book Using Multi Class Machine Learning Methods to Predict Major League Baseball Pitches

Download or read book Using Multi Class Machine Learning Methods to Predict Major League Baseball Pitches written by Glenn Daniel Sidle and published by . This book was released on 2017 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book

    Book Details:
  • Author :
  • Publisher : Cengage Learning
  • Release :
  • ISBN : 0357894022
  • Pages : pages

Download or read book written by and published by Cengage Learning. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Sports Data Mining

    Book Details:
  • Author : Robert P. Schumaker
  • Publisher : Springer Science & Business Media
  • Release : 2010-09-10
  • ISBN : 1441967303
  • Pages : 144 pages

Download or read book Sports Data Mining written by Robert P. Schumaker and published by Springer Science & Business Media. This book was released on 2010-09-10 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

Book Frontiers in Major League Baseball

Download or read book Frontiers in Major League Baseball written by John Ruggiero and published by Springer Science & Business Media. This book was released on 2010-11-03 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the application of Data Envelopment Analysis (DEA) to Major League Baseball (MLB). DEA is a nonparametric linear programming model that is used across academic disciplines. In sports economics, authors have applied the technique primarily to assess team and/or managerial efficiency. The basis for performance analysis is economic production theory, where it is assumed that baseball can be viewed as a production process whereby inputs (player quality measures) are transformed into outputs (wins, attendance). The primary advantage that DEA has over more traditional regression based approaches is the ability to handle multiple inputs and multiple outputs. Further, the approach is nonparametric and hence, does not require a priori specification of the production function. The book develops the theory of DEA in the context of a production environment. A focal point is the assessment of technical and cost efficiency of MLB teams. It is shown that previous frontier applications that measure efficiency provide biased results given that the outcome of a game is zero-sum. If a team loses a game due to inefficiency, another team wins a lost game. A corrected frontier is presented to overcome this problem. Free agent salary arbitration is analyzed using a dual DEA model. Each free agent's contract zone is identified. The upper and lower bounds, representing the player's and team's perspective of value, respectively, are estimated. Player performance is estimated using a modified DEA model to rank order players based on multiple attributes. This model will be used to evaluate current Hall of Fame players. We provide arguments for other players who are deserving of membership. We also use our measure of performance and evaluate age-performance profilers for many ball players. Regression analysis is used to identify the age of peak performance. The method is used to evaluate some of the all-time greats. We also use the method to analyze admitted and implicated steroid users. The results clearly show that performance was enhanced. This book will provide appropriate theoretical models with methodological considerations and interesting empirical analyses and is intended to serve academics and practitioners interested in applying DEA to baseball as well as other sports or production processes. >

Book What the Luck

    Book Details:
  • Author : Gary Smith
  • Publisher : Abrams
  • Release : 2016-10-04
  • ISBN : 1468313916
  • Pages : 186 pages

Download or read book What the Luck written by Gary Smith and published by Abrams. This book was released on 2016-10-04 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Israel, pilot trainees who were praised for doing well subsequently performed worse, while trainees who were yelled at for doing poorly performed better. It is an empirical fact that highly intelligent women tend to marry men who are less intelligent. Students who get the highest scores in third grade generally get lower scores in fourth grade.And yet, it's wrong to conclude that screaming is not more effective in pilot training, women choose men whose intelligence does not intimidate them, or schools are failing third graders. In fact, there's one reason for each of these empirical facts: Statistics. Specifically, a statical concept called Regression to the Mean.Regression to the mean seeks to explain, with statistics, the role of luck in our day to day lives. An insufficient appreciation of luck and chance can wreak all kinds of mischief in sports, education, medicine, business, politics, and more. It can lead us to see illness when we are not sick and to see cures when treatments are worthless. Perfectly natural random variation can lead us to attach meaning to the meaningless.Freakonomics showed how economic calculations can explain seemingly counterintuitive decision-making. Thinking, Fast and Slow, helped readers identify a host of small cognitive errors that can lead to miscalculations and irrational thought. In What the Luck?, statistician and author Gary Smith sets himself a similar goal, and explains--in clear, understandable, and witty prose--how a statistical understanding of luck can change the way we see just about every aspect of our lives...and can help us learn to rely less on random chance, and more on truth.

Book State of Play

Download or read book State of Play written by Bill Ripken and published by Diversion Books. This book was released on 2020-02-11 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced statistics and new terminology have taken hold of baseball today, but do they accurately reflect the reality of the game? A baseball lifer states his case. America’s favorite pastime is enduring an assault of new thoughts and ideas. In recent years, the sabermetrics and analytics craze has infiltrated Major League Baseball—from its front offices to dugouts to clubhouses to media covering both, inciting a baseball culture war. New phrases like “launch angle,” “spin rate,” and “pitch framing” have entered the vocabulary, often with little real meaning when it comes to how the game is actually played on the field. No more. In State of Play, twelve-year Major League veteran, Emmy Award–winning MLB Network analyst, and bestselling author Bill Ripken breaks down these modern statistical methods to explain which ones make sense in the game’s historical context, bringing them together with proven old-school strategies. He simplifies those sabermetric terms hastily added to the baseball lexicon without being fully realized, taking new-school confusion out of old-school baseball’s tried-and-true common sense. In the end, he unites the teachings of each school to show fans of both how to listen to and understand the game as it’s played today and how it should be played moving forward. From a true baseball lifer and member of baseball’s first family, State of Play offers a fascinating insider’s look at how to reconcile years of historical tradition with the rules and trends of the new millennium. As Ripken sees it: the game inside the game cannot be measured by a spreadsheet—but it can be measured by a qualified, crusty baseball man. Play ball.

Book Betting on Major League Baseball

    Book Details:
  • Author : Ken Osterman
  • Publisher : Createspace Independent Publishing Platform
  • Release : 2018-03
  • ISBN : 9781985771475
  • Pages : 170 pages

Download or read book Betting on Major League Baseball written by Ken Osterman and published by Createspace Independent Publishing Platform. This book was released on 2018-03 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a LARGE PRINT format paperback using an 18 pt. Arial font. The essence of any good baseball handicapping system is to find games to bet on that will result in long-term profits. In other words, finding overlays. The Underdog Method uses an approach to not only find these good bets, but does so by creating a money line that can be compared to the one offered by sports books. Author and sports gambler, Ken Osterman, explains this system in an easy-to-understand way, and then uses an entire day of baseball games as examples. Each game is handicapped per the rules of the Underdog Method, and then a betting line is created. This line is compared to a specific sports book's money line. It is then decided, based upon specific rules, whether a good bet exists or not. Although demonstrating the effectiveness of any betting system is limited in a book, the approach to Major League Baseball betting using the Underdog System is significantly different than the simple angles and methods seen elsewhere. The results using The Underdog Method, for the 2015 playoffs were impressive. All games were handicapped, both the American and National League games as well as the World Series. The Results: There were a total of 26 bets There was an average price of +141.9 for all 26 wagers 13 wins and 13 losses Return on flat bet wagering was 19.81%

Book Optimal Sports Math  Statistics  and Fantasy

Download or read book Optimal Sports Math Statistics and Fantasy written by Robert L. Kissell and published by Academic Press. This book was released on 2017-04-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Sports Math, Statistics, and Fantasy provides the sports community—students, professionals, and casual sports fans—with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions. Readers will learn how to: Accurately rank sports teams Compute winning probability Calculate expected victory margin Determine the set of factors that are most predictive of team and player performance Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models. Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world. Statistical approaches to predict winning team, probabilities, and victory margin Procedures to evaluate the accuracy of different models Detailed analysis of how mathematics and statistics are used in a variety of different sports Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination