Big data baseball
Travis Sawchik
Reading Time
at 250 WPM4h 16m
The average reader, reading at a speed of 250 WPM, would take 4h 16m to read Big data baseball.
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9
days at 30 min/day
256
total minutes
Big data baseball
Published
2015
Publisher
Flatiron Books
Pages
256
ISBN-13
9781250063519
Description
"Pittsburgh Pirates manager Clint Hurdle was old school and stubborn. But after twenty straight losing seasons and his job on the line, he was ready to try anything. So when he met with GM Neal Huntington in October 2012, they decided to discard everything they knew about the game and instead take on drastic "big data" strategies. Going well beyond the number-crunching of Moneyball, which used statistics found on the back of baseball cards to identify market inefficiencies, the data the Pirates employed was not easily observable. They collected millions of data points on pitches and balls in play, creating a tome of reports that revealed key insights for how to win more games without spending a dime. They discovered that most batters struggled to hit two-seam fastballs, that an aggressive defensive shift on the field could turn more batted balls into outs, and that a catcher's most valuable skill was hidden. Hurdle and Huntington got to work trying to convince the entire Pirates organization and disgruntled fans to embrace these unconventional, yet groundbreaking methods. All this led to the end to the longest consecutive run of losing seasons in North American pro sports history.The Pirates' 2013 season is the perfect lens for examining baseball's burgeoning big-data movement. Using flawless reporting, award-winning journalist Travis Sawchik takes you behind-the-scenes to reveal a game-changing book of miracles and math"--
Subjects
Business Statistics
Research Design
Introductory statistics for the behavioral sciences
Guide to quality control
Statistics for management
The Visual Display of Quantitative Information
Frequently Asked Questions
How many pages are in Big data baseball?
This edition of Big data baseball has approximately 256 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Big data baseball?
For most readers, Big data baseball typically takes between 5h 20m and 3h 33m to complete. This is based on the book's length of approximately 64,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 16m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 9 days • Estimated word count: 64,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Big data baseball?
The estimated word count for Big data baseball is approximately 64,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Big data baseball?
Big data baseball was written by Travis Sawchik.
When was Big data baseball published?
The publication date for this specific edition is 2015. The original work may have been published on a different date.