Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale
Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale_top
Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale__left

Book is in good condition. Book cover may have minor to moderate wear. Book pages may have minor to moderate wear. May have minor to moderate highlighting/writing or dog ear pages. May have minor water damage. Used stickers may also be attached.
See more
Sold by A&C Multimedia and fulfilled by Amazon.
[{"displayPrice":"$17.29","priceAmount":17.29,"currencySymbol":"$","integerValue":"17","decimalSeparator":".","fractionalValue":"29","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"L302N9vuG52YRRMtXnX12lQdgOUdB%2B0rC8CI0ChgvRHK4nhq3e%2BukvJSHtPHZ%2Fj5%2Fu1eCNWKNJtxcxXGQZfewHLsgvhrEsXZ9MzkiFsd1L4YVXHc8%2BsJR%2Fd1xS0wXoW1NN2it4hzoYiNiTfDJewU0g%3D%3D","locale":"en-US","buyingOptionType":"NEW"},{"displayPrice":"$7.97","priceAmount":7.97,"currencySymbol":"$","integerValue":"7","decimalSeparator":".","fractionalValue":"97","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"BqMKXt17ha4fB6RB%2Btes6CENvQDnA1cwUC4KLfhriHoUdWB57p7TH1zhkYyNyuT6ZJOxyf0aIn2m%2FF3Sl3Jofuwmgmq%2FSLxSEsSI517gUUwnCyLTHe3xcqkCx2ypBHSOSE5ugNDB8YXFUJqyYtKgissnusOR3X10rlvwIIKUrrlV2EV4U1mbSg%3D%3D","locale":"en-US","buyingOptionType":"USED"}]
$$17.29 () Includes selected options. Includes initial monthly payment and selected options. Details
Price
Subtotal
$$17.29
Subtotal
Initial payment breakdown
Shipping cost, delivery date, and order total (including tax) shown at checkout.
ADD TO LIST
Available at a lower price from other sellers that may not offer free Prime shipping.
SELL ON AMAZON
Share this product with friends
Text Message
WhatsApp
Copy
press and hold to copy
Email
Facebook
Twitter
Pinterest
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Join or create book clubs
Choose books together
Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free. Explore Amazon Book Clubs
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.
Hear something amazing
Discover audiobooks, podcasts, originals, wellness and more.
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Frequently bought together

+
+
Choose items to buy together.
Buy all three: $47.46
$17.29
$15.49
$14.68
Total price:
To see our price, add these items to your cart.
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Book details

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Description

Product Description

New York Times Bestseller

After twenty consecutive losing seasons for the Pittsburgh Pirates, team morale was low, the club’s payroll ranked near the bottom of the sport, game attendance was down, and the city was becoming increasingly disenchanted with its team. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise’s fortunes.

Big Data Baseball is Moneyball for a new generation. Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the Pirates played the game, revealing how a culture of collaboration and creativity flourished as whiz-kid analysts worked alongside graybeard coaches to revolutionize the sport and uncover groundbreaking insights for how to win more games without spending a dime. From pitch framing to on-field shifts, this entertaining and enlightening underdog story closely examines baseball’s burgeoning big data movement and demonstrates how the millions of data points which aren’t immediately visible to players and spectators, are the bit of magic that led the Pirates to finish the 2013 season in second place and brought an end to a twenty-year losing streak.

Review

Big Data Baseball is a particular kind of nerd heaven and if you’re even vaguely interested in advanced analytics, you should already be halfway through the second chapter by now… Sawchik’s real achievement is making the sabermetrics story accessible to everyone, even people who might have been scared off by it at first.” ―MLB.com

“[Big Data Baseball] is a useful, entertaining look back at how the Pirates turned a small market, longtime loser into a playoff team… a very illuminating book.” ―Baseball America

“How this motley collection of men-from data geeks to throwback coaches to reluctant players-worked the numbers together to mold a winner makes Sawchik''s tale as compelling as Michael Lewis'' Moneyball. Which is saying a lot.” ―Booklist, starred review

“This enlightening book by Sawchik explains how the team helped redefine the game... Taking cues from Michael Lewis''s Moneyball and Jonah Keri''s The Extra 2%, Sawchik wonderfully dissects statistics and the game itself in a style that will score with a broad range of readers.” ―Publishers Weekly

“In Big Data Baseball, Travis Sawchik reveals one of the great untold baseball stories of the early 21st century--how the Pittsburgh Pirates ended a twenty-year streak of futility by using data to revolutionize the way they positioned their defenders. Sawchik''s fascinating tale is not merely about numbers, however. It also is about a spirit of collaboration between the new-age analysts and old-school field operatives that elevated the Pirates above other teams with access to the same information. For those who truly want to understand how the game has changed, Big Data Baseball is a must-read.” ―Ken Rosenthal, Senior MLB writer for FOXSports

“An author''s goal when telling a story like this is to combine gripping storytelling with fresh insight into the wonkish methods an underdog baseball team uses to defy odds and win. The former is a great achievement for anyone, let alone a first-time author. The latter, given how incredibly secretive sports teams have become, is damn near impossible. In Big Data Baseball, Travis Sawchik pulls both off, and he does so masterfully.” ―Jonah Keri, author of The Extra 2% and writer for Grantland

“I read and loved Big Data Baseball...Highly recommend if you dig baseball stats and anecdotes!” ―Seth Meyers

“At times, the story reads almost like a John R. Tunis baseball book for boys...Tunis'' optimism, idealization of character, and overall enthusiasm all are here. Most important is Sawchik''s realization, however, that the diamond will never again be so rough-data-gatherers and -analysts are polishing assiduously. Both a comprehensive and a focused look at how computer-recorded data are fundamentally altering America''s pastime.” ―Kirkus Reviews

“The paradox is that as baseball becomes more complicated, the Pittsburgh Pirates are making it less complicated with one single word: communication. Big Data Baseball intelligently reveals how the symbiotic relationship between the data and the human factor is the future of baseball.” ―Ron Darling, former major league pitcher and MLB Network and SNY analyst

“Insightful, thorough, and outstanding. Travis takes us beyond the field to show where we are in the post-sabermetric revolution. The Pirates have combined scouting, analytics, and old fashioned attention to detail to revitalize their franchise. Want the state of the art in winning baseball? Big Data Baseball gives it to you.” ―Brian Kenny, analyst/anchor for MLB Network

“Sawchik provides us with far more than the binary debate of ‘stats versus scouts.'' Rather, he''s produced the definitive narrative of how one organization forged a way forward using both objective and subjective methods---and made a great, skeptical baseball city believe again.” ―Jon Morosi, national baseball writer for Fox Sports

“It''s too simplistic to call this ‘Moneyball 2.0,'' but Sawchik has done much the same as what Michael Lewis did--he''s found an interesting story about how a team is forced to do things differently. Much like the Pirates, Sawchik finds a way to not go with the herd, not take the simple approach, and to make us understand how Neal Huntington changed a culture. Sawchik''s ability to find insights and the human stories inside of rows and columns on a spreadsheet is what makes Big Data Baseball a great read.” ―Will Carroll, writer at BleacherReport.com and former writer for Sports Illustrated and BaseballProspectus.com

Big Data Baseball is the logical successor to Moneyball, a blueprint for how the successful teams of the next decade will get ahead. Sawchik has done a masterful job of pulling back the curtain to show how one team used advanced data analysis and technology to gain a competitive advantage. Serious fans will find the story fascinating and enlightening, and baseball executives who choose to ignore Sawchik''s insights do so at their own peril.” ―Sean Lahman, Database Coordinator for the Society of American Baseball Research and Data Reporter for Gannett Newspapers

Big Data Baseball takes readers inside the Pirates'' analytics department, clubhouse, and beyond. One of the best baseball books I''ve read in years.” ―David Laurila, writer for Fangraphs.com

“In his two seasons on the Pirates beat, Sawchik has demonstrated a great facility for understanding how a radical, analytically-driven change in direction breathed new life into a struggling franchise. Just as a unique cast of players, coaches, analysts, and executives--Clint Hurdle, Neal Huntington, Dan Fox, Mike Fitzgerald, Russell Martin, Francisco Liriano, Ray Searage, Gerrit Cole, and more--were exactly the right people in the right place at the right time to put baseball''s latest wave of statistics into practice, Sawchik is the right man to tell the story.” ―Jay Jaffe, contributing writer to SportsIllustrated.com

“The Pittsburgh Pirates were the story of the season in 2013, but Travis Sawchik set his reporting eye on something bigger: The story of the decade. He found it in Pittsburgh''s use of big data, which is forcing teams and analysts to rethink a century of baseball wisdom. Sawchik is perfectly positioned to tell this story, with a backstage pass to the Pirates'' season and the keen baseball mind necessary to illuminate a complex subject.” ―Sam Miller, coeditor, Baseball Prospectus 2014

Big Data Baseball is a Moneyball story for a new era, one in which the people and numbers work in tandem, rather than against each other. This book is a comprehensive, well-told case study of one team''s success at implementing a plan that wouldn''t have been possible a couple of decades ago.” ―Mark Simon, ESPN Stats and Information

“Travis Sawchik has really captured the essence of successful big league teams in today''s data-driven world by illuminating not only the strategies now being employed by teams, but also that critical partnership between a major league GM and his staff, with managers, coaches, and players.” ―Vince Gennaro, President of the Society for American Baseball Research and author of Diamond Dollars: The Economics of Winning Baseball

“A great read! What Moneyball did for offensive analysis, Big Data Baseball does for defense and shows how the Pirates shifted the field in their favor.” ―Mike Ferrin, MLB Network Radio

Big Data Baseball shows how the small-market Pirates outsmarted their opponents and became the talk of the game during their historic 2013 playoff run. Travis Sawchik describes the Pirates'' tactics in fascinating detail, noticing crucial bits of strategy most commentators miss and explaining how members of the Bucs'' unglamorous roster formed a team far greater than the sum of its parts. In an era in which most clubs have already learned the lessons of Moneyball, Big Data Baseball is as close to a sequel as we''re likely to get. As a Pirates fan, I can''t recommend it highly enough, unless you''re the GM of an opposing team, in which case I hope you''ll stay far, far away.” ―Charlie Wilmoth, editor of BucsDugout.com and author of Dry Land: Winning After 20 Years at Sea with the Pittsburgh Pirates

“Travis Sawchik paints a picture of the 2013 Pirates and their successful pursuit of a postseason berth: equal parts new-age data, front office decision-making, management''s leadership ability, and on-field player success--all contributing to Pittsburgh ending a twenty-year losing streak. [Sawchik''s] style of writing is convincing, entertaining, and a quick read! Any baseball fan can learn the attributes of a winning organization by reading Big Data Baseball!” ―Jim Duquette, baseball analyst for XM Radio and former General Manager with the Mets

Big Data Baseball is the next logical step in the Baseball Sabermetric nonfiction collection, preceded by Michael Lewis'' Moneyball and Jonah Keri''s The Extra 2%. Travis Sawchik is able to take some relatively complicated concepts and provide a soft, inviting touch for less data obsessed readers.” ―Camden Depot

“The book is a love letter to sabermetrics.... It is not just a book for Pittsburgh Pirates fans...and it will likely serve as great fodder in strategy sessions for baseball''s twenty-nine other teams, and for baseball analysts everywhere.... Sawchik makes sense of it all from both high-level and nuts-and-bolts views.” ―Hardball Times

About the Author

TRAVIS SAWCHIK covers the Pirates and Major League Baseball for the Pittsburgh Tribune-Review. Sawchik has won national Associated Press Sports Editor awards for enterprise writing and numerous state-level awards. Sawchik’s work been featured or referenced on ESPN, Grantland.com, and MLB Network.

Product information

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Videos

Help others learn more about this product by uploading a video!
Upload video
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Customers who bought this item also bought

Customer reviews

4.6 out of 54.6 out of 5
201 global ratings

Top reviews from the United States

Dr. Pete
5.0 out of 5 starsVerified Purchase
For Stat Geeks Who Are Baseball Fans
Reviewed in the United States on July 29, 2015
In many ways, this is a book similar to those written by Malcolm Gladwell. In 2013, the Pirates were at a "tipping point".Their GM and Manager needed to win or be fired. They, along with non-baseball playing math nerds, sought out "outliers", players who out-performed their... See more
In many ways, this is a book similar to those written by Malcolm Gladwell. In 2013, the Pirates were at a "tipping point".Their GM and Manager needed to win or be fired. They, along with non-baseball playing math nerds, sought out "outliers", players who out-performed their peers in ways that other teams didn''t recognize. With considerably fewer resources, the GM and Manager were confronting a "David and Goliath" battle.

To beat those odds, Clint Hurdle not only had to abandon much of what he considered important like a pitcher''s Win Loss record and ERA, and batting average as the most important metric for position players, he had to convince his coaches and next his players. To do this, Hurdle integrated the stat people with the scouts, as well as with the coaches. How Hurdle did this is explained in this very readable book. Although the specifics here deal with baseball, in a general way, it would be useful for businesses, especially those which need to be re-organized.
7 people found this helpful
Helpful
Report
Christopher J Finlayson
5.0 out of 5 starsVerified Purchase
Successor to Moneyball
Reviewed in the United States on May 23, 2021
It’s hard to compare anything to Moneyball, a Michael Lewis classic that upended sports orthodoxy. Big Data Baseball is a logical successor that uses a similar format to show how baseball has evolved post-Moneyball. In particular, it shows how teams have moved past simple... See more
It’s hard to compare anything to Moneyball, a Michael Lewis classic that upended sports orthodoxy. Big Data Baseball is a logical successor that uses a similar format to show how baseball has evolved post-Moneyball. In particular, it shows how teams have moved past simple insights, like how on-base % was undervalued. They now pull less obvious insights from bigger data sets. The book tells the story of how the Pirates found value in defense generally, positional shifts, catcher pitch framing, picture rehabilitation and a preference for inducing ground balls. Like in Moneyball, the book shows how data can be used to correctly ascribe value that might otherwise have been misaligned. While not a classic, and clearly derivative, Big Data Baseball is worth the time.
Helpful
Report
Kyle E.
5.0 out of 5 starsVerified Purchase
Great Read, Even if You''re Not a Pirates Fan
Reviewed in the United States on November 20, 2015
I found this book to be an enjoyable read about building a successful team in baseball. You do not have to be a fan of the Pittsburgh Pirates to enjoy this book, but it certainly helps. This book offers amazing insight into the transformation of the Pirates organization... See more
I found this book to be an enjoyable read about building a successful team in baseball. You do not have to be a fan of the Pittsburgh Pirates to enjoy this book, but it certainly helps. This book offers amazing insight into the transformation of the Pirates organization from having the longest span of losing seasons in professional sports history to a viable threat in the National League. Also, the renaissance in Clint Hurdle''s approach to baseball is discussed, along with his background in the sport. Whereas this book is not as transformative for baseball as Moneyball was, there is still quite a bit of information one can gain from this book. Pitch framing and defensive alignments are the two mechanisms of successfully managing a team which are excellently explained in this book.
5 people found this helpful
Helpful
Report
Beddoo
3.0 out of 5 starsVerified Purchase
This is a good book but not a great one
Reviewed in the United States on June 8, 2016
This is a good book but not a great one. It does complement Money Ball in exploration of areas that the first SABR dispensation had glossed over: defense, pitch framing by catchers and pitching that could induce more groundballs. So that part was good.... See more
This is a good book but not a great one. It does complement Money Ball in exploration of areas that the first SABR dispensation had glossed over: defense, pitch framing by catchers and pitching that could induce more groundballs.

So that part was good.

Where the book fails is two fold. First the analysis of the stats was a little on the weak side. I looked in vain for the numerical results of the Pirates shifts....opponents batting average, on base percentage, OPS or something would have been good.

Second, the book is just not that well-written. In fact, it is badly written in portions. Michael Lewis is a much, much better writer than Travis Sawchik. There were a number of sentences by Sawchik that I would not have let my 8th graders get away with.

His prose is just clumsy at times, marred by diction problems and excessive colloquialisms.

Just read Lewis'' bio on Billy Beane and Sawchik''s on Clint Hurdle in the first chapters of the respective books and you''ll see what I mean.

That said, Big Data Baseball is well worth a read. Just don''t expect something as well done as Money Ball.
5 people found this helpful
Helpful
Report
Aaron
4.0 out of 5 starsVerified Purchase
A blast for a Pirates fan but very light on "Big Data"
Reviewed in the United States on September 18, 2020
Read this book solely for nostalgia reasons being a fan of the Pittsburgh Pirates, whom got to experience them breaking their losing records streak. This book successfully explains behind the scenes stuff that wasn''t apparent to me at the time. However, while the book title... See more
Read this book solely for nostalgia reasons being a fan of the Pittsburgh Pirates, whom got to experience them breaking their losing records streak. This book successfully explains behind the scenes stuff that wasn''t apparent to me at the time. However, while the book title stresses "Big Data", I found it largely devoid of "Big Data". Everything is explained for the layman and it mostly talks about shifts in baseball and how the Pirates were the club that started the trend. Overall a good read thanks for taking the time to write about the lowly Pittsburgh Pirates.
Helpful
Report
Cristina H
4.0 out of 5 starsVerified Purchase
This is a good baseball book
Reviewed in the United States on April 26, 2018
This is a good baseball book. The author does a good job filling in the background on the team and the key players and 20 years of baseball futility. It''s a very interesting read in how the team was able to remake itself similar to how Billy Bean found a competitive edge... See more
This is a good baseball book. The author does a good job filling in the background on the team and the key players and 20 years of baseball futility. It''s a very interesting read in how the team was able to remake itself similar to how Billy Bean found a competitive edge with data.

With that said, it is not that we''ll written. It seems at times that the author struggled to fill out that book as a lot of things are stated repeatedly. A lot of the story telling gets bogged down in unnecessary details and slows the story down.

If the topic had not been so interesting for me, I probably would not have finished the book. If you like baseball, data, and an underdog story, you''ll enjoy this book.
4 people found this helpful
Helpful
Report
bob bondi
5.0 out of 5 starsVerified Purchase
Statistical Analysis and the Pittsburgh Pirates.
Reviewed in the United States on October 1, 2018
I haven''t followed Baseball since the 70s. And only started following the Buccos in Spring training so I''d have something to talk to my Dad about. I needed more information about how and why the game is changing because of statistical analysis.... See more
I haven''t followed Baseball since the 70s.

And only started following the Buccos in Spring training so I''d have something to talk to my Dad about.

I needed more information about how and why the game is changing because of statistical analysis.

This book helped me understand the modern game..

I loved this book. It explains how Clint Hurdle, Neal Huntington, and the Pirates Organization, ended a 20 year losing streak with 3 consecutive playoff appearances through the application of Statistical Analysis.

It tells:

How Pitchers changed the way they pitched to get more ground balls.

How Pitch-Framing improved EVERY Pitcher''s ERA on the roster.

The hated Shift.

And how they identified "under valued" players to aquire.

...

...
Helpful
Report
Vito
5.0 out of 5 starsVerified Purchase
Wonderful narrative of how analytics have changed the game
Reviewed in the United States on August 30, 2016
I am a diehard baseball fan and was recommended the book by my team''s (not the Pirates) radio announcer. Loved the book. I was not expecting a book written by a local sports journalist to be as well-written as it was, nor was I expecting to be so overwhelmed by how data... See more
I am a diehard baseball fan and was recommended the book by my team''s (not the Pirates) radio announcer. Loved the book. I was not expecting a book written by a local sports journalist to be as well-written as it was, nor was I expecting to be so overwhelmed by how data has changed the game. As baseball fans, we are quick to second-guess managers and our teams, but I think this book is a good reminder that decisions for most teams are not always made by "gut," but made from mountains and mountains of data. The book tackles what could be a boring subject with a brilliant narrative, complete with character development and plot twists. But I think Sawchick nails the main thesis, which is that baseball is a constantly evolving game of cat-and-mouse. Highly recommended for any baseball fan.
2 people found this helpful
Helpful
Report

Top reviews from other countries

JWH
3.0 out of 5 starsVerified Purchase
Mildly Interesting Baseball Data Analysis story
Reviewed in the United Kingdom on December 26, 2015
The premise of this book is interesting: how did a perenially poor team turn its fortunes around quickly without spending a lot of money on players. I found that the writer told this story competently, but no better. The writer explained well what new data was used by the...See more
The premise of this book is interesting: how did a perenially poor team turn its fortunes around quickly without spending a lot of money on players. I found that the writer told this story competently, but no better. The writer explained well what new data was used by the Pirates analysts and how this was converted into new playing techniques and styles. The concept of pitch-framing is quite fascinating and was well explained although I wonder if umpires should read it to avoid being led in future! It also includes some "human interest" chapters as previously marginal ball players become all-stars and fan favourites. However, the human interest stuff feels quite surface-level, whilst the statistical analysis is okay but doesn''t have the sense of exploration and excitement that the best such writing can engender. Formally the book is very like Moneyball: The Art of Winning an Unfair Game but Michael Lewis is a better writer. I can imagine sports fans and data enthusiasts enjoying Moneyball, Big Data Baseball''s appeal is more limited to actual baseball fans. Highly recommended for fans of baseball analysis.
One person found this helpful
Report
Christopher Lok
4.0 out of 5 starsVerified Purchase
Nice, easy read, but maybe too easy?
Reviewed in Canada on July 15, 2019
This book was a nice, easy read, but maybe too easy? It tells the tale of how the Pittsburgh Pirates broke their playoff drought and mixes in bios on some of the key players and figures, while also talking about some of the advanced stats that were used to guide decisions....See more
This book was a nice, easy read, but maybe too easy? It tells the tale of how the Pittsburgh Pirates broke their playoff drought and mixes in bios on some of the key players and figures, while also talking about some of the advanced stats that were used to guide decisions. It was enjoyable, but as someone who has been reading about advanced stats from other sources, this book felt a little lacking in that department.
Report
Eddy Campbell
5.0 out of 5 starsVerified Purchase
A human interest story on a big data journey.
Reviewed in Australia on November 30, 2018
I will confess to being a stat-head by inclination and profession, and a big baseball fan, but it is especially interesting to read the human interest story of how an organisation can reinvent itself. Seminal decision moments for the key players in the story of the recent...See more
I will confess to being a stat-head by inclination and profession, and a big baseball fan, but it is especially interesting to read the human interest story of how an organisation can reinvent itself. Seminal decision moments for the key players in the story of the recent Pittsburgh Pirates are really well told. You don''t need to be a stat person to enjoy this book. The story about reaching beyond one''s own comfort zone for the greater good is very compelling.
Report
Luckie
4.0 out of 5 starsVerified Purchase
I enjoyed reading about the background to the Pirates rise
Reviewed in Canada on August 12, 2016
As a baseball enthusiast, I enjoyed reading about the background to the Pirates rise. Cool story overall. My only criticism is that it could be written a little tighter; seemed slightly redundant. For those who care, there were no photos in the book. Would love to read a...See more
As a baseball enthusiast, I enjoyed reading about the background to the Pirates rise. Cool story overall. My only criticism is that it could be written a little tighter; seemed slightly redundant. For those who care, there were no photos in the book. Would love to read a revised version one day showing the next five years (obviously would not be ready till 2020/2021).
Report
Amazon Customer
5.0 out of 5 starsVerified Purchase
Still holds up
Reviewed in Canada on June 23, 2019
Sometimes this kind of book becomes dated pretty quickly, as baseball analytics can move fast. But this book is still topical, current, and most importantly a good, fun read.
Report
See all reviews
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Customers who viewed this item also viewed

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

What other items do customers buy after viewing this item?

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Pages with related products.

  • math statistics
  • 2016 baseball non fiction books
  • big history
  • mathematical statistics books
  • Mlb Baseball Radios

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale

Big Data Baseball: Math, popular Miracles, and the End of discount a 20-Year Losing Streak sale