What is the definition of a high-scoring offense? How do you measure a player’s offensive productivity? How do you keep your team on track throughout the course of a long season? High-Scoring Baseball is the definitive guide for establishing an aggressive, opportunistic, and disciplined offense. Inside you’ll find detailed coverage of the four offensive team goals and the six ways to create offensive pressure that gives every team a chance to be high scorers. Then go inside the numbers for an in-depth analysis of run production. Discover the most common predictors for achieving a big inning, the importance of getting the lead-off hitter on, and the importance of collecting free bases. You’ll identify the most effective strategies based on specific game situations as well as the proper mental approach and physical adjustments to execute in those situations. Offense is more than a player’s batting average or a team’s ability to hit the long ball. It’s all about run production. It’s a player’s ability to achieve a high-quality at-bat and a team’s ability to create a big inning. High-Scoring Baseball will change the way you see and play the game.

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.

Basic baseball scorebook with pitch count and stats including at bats, hits, walks, RBIs, and runs scored. Space for 15 batters and a sub for each batter in the lineup. SIZE: 8.5x11 inches INTERIOR: 100 scoresheets COVER: Soft cover

A love letter to the game of baseball from one of America's foremost scribes Bob Ryan has scored every baseball game he's attended, at every level, since the start of the 1977 season. It's a deeply personal tradition still going strong at more than 1,400 games and counting. The tattered scorebooks he's filled are worn from age, travel, and countless summer days, but their grids and scrawled symbols tell the stories of milestones, rivalries, rare historic achievements, and more. In Scoring Position captures the incomparable spirit of baseball, with its infinite possibilities and madcap anomalies. Ryan, alongside baseball historian and statistician Bill Chuck, has scoured his scorecard archives for the most singular events—a switch-hitter being hit by a pitch from both sides of the plate in the same game; a player batting for the cycle off four different pitchers; even back-to-back pinch-hit home runs with two outs in the 9th. Featuring some of the game's biggest names and wildest scenarios, this is a fascinating romp through baseball history, exuding a pure zeal for this sport that fans of all teams will recognize in themselves. Part of the collection at the library of the National Baseball Hall of Fame and Museum, this volume also features reproductions of dozens of scorecards from Ryan's collection.

Basic baseball scorebook with pitch count and stats including at bats, hits, walks, RBIs, and runs scored. Space for 15 batters and a sub for each batter in the lineup. SIZE: 8.5x11 inches INTERIOR: 100 scoresheets COVER: Soft cover

Basic baseball scorebook with pitch count and stats including at bats, hits, walks, RBIs, and runs scored. Space for 15 batters and a sub for each batter in the lineup. SIZE: 8.5x11 inches INTERIOR: 100 scoresheets COVER: Soft cover