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Astroball: The New Way to Win it All

Shows how the Houston Astros used data instead of scouts' hunches to find overlooked players, spend less and win the 2017 World Series, and where human judgment still had to overrule the numbers.

Table of Content

If you hire people, choose projects or place bets on a hunch, you are probably trusting a feeling that has never been checked against results. In Astroball, Sports Illustrated senior writer Ben Reiter shows what happened when one baseball club stopped doing that. The Houston Astros, a middling team, became 2017 World Series champions after analyst Sig Mejdal and scout Jeff Luhnow began treating baseball as a game of probability and following the numbers despite objections from old-school scouts.

Reiter’s story makes one case. Data beats instinct at spotting talent and value, and the best decision makers also know where the data runs out. Along the way you meet a five-foot-five hitter every other club sent home, a pitcher whose hidden spin rate changed his career and a star the algorithm said to skip. Each one gives you a test to use in your own hiring, budgeting and team building.

A blackjack player holding 16 almost always makes the wrong move, and it feels like the safe one. A casino night shift taught one future NASA engineer to spot that same mistake in a very different game.

A pitcher with forgettable statistics turned into one of his club’s best arms. The clue was buried in a single measurement, and the same club then aimed its numbers at its own scouts.

Club after club sent a young Venezuelan hitter home with the same verdict. One team measured what he could actually do, paid him almost nothing and watched him outhit a Hall of Famer.

Everyone expected Houston to draft the proven star. The club picked a less famous teenager instead, and nine months of age difference ended up shaping both careers and the team’s whole spending plan.

The scouts adored a young draft pick, and then a medical test changed everything. Letting him go was hard enough. Doing it without losing millions took a bet on what he wanted most.

A promising hitter’s numbers sagged and his coach warned he was about to vanish from the sport. An injury, a seat in the stands and one rival’s finishing motion gave him a second career.

Locker rooms often split in two without anyone saying a word. A veteran who remembered being shut out and a teammate who exaggerated his Spanish set out to close that gap.

The algorithm that built a champion said one star pitcher cost too much. The man who had trusted it for years decided otherwise, and the reasons show exactly where numbers lose sight of the world.

Astroball tells the story of a club that learned to doubt its own eyes. Scouts saw a slight college shortstop and a five-foot-five infielder and judged them too weak. Mejdal, remembering blackjack players who refused the better card, recognized the same error. By counting what could be counted, from curveball spin to a recruit’s age in months, Houston found players others missed and paid less for them. By respecting what could not be counted, a veteran’s welcome or a star’s ability to reinvent himself, it turned those players into champions.

The method works well beyond a ballpark. Write down your next few judgments about people and compare them later with what really happened, the way Mejdal tested his scouts. When someone’s overall record looks average, search for the one exceptional figure, as Houston did with McHugh’s spin. And before trusting any model, ask whether the conditions it learned from still hold, since Verlander’s price only made sense in a market the formula had missed.

Instinct still gets a vote. It just has to show its numbers first.

About this book

What is this book about?

Baseball has long trusted the eye of the veteran scout, the one who can tell a future star at a glance. Ben Reiter tells the story of a club that stopped taking that eye on faith. The Houston Astros were a middling team when they hired analyst Sig Mejdal and scout Jeff Luhnow in 2012. By 2017 they had won the World Series. Mejdal had learned in a casino that players ignore the odds when the odds feel risky, and he suspected baseball scouts did the same. With camera tracking, a database of player metrics and algorithms that checked scouts' ratings against real results, the pair found talent others had passed over as too small or too average. They also spent less to get it. Reiter does not present data as the whole answer. The same club let a hitter go just before he reinvented his swing, and the season's spirit came partly from players who reached across a language divide. The book's last lesson is about overruling the algorithm when the market around it has changed. Readers get a vivid case study in evidence-based judgment, and they also learn where that judgment runs out.

Book Information

Rating:

Genre:

Sports & Fitness

Topics:

Data & Analytics, Decision-Making, Sports Performance

Publisher:

Penguin Random House

Language:

English

Narrator:

Ethan

First published:

March 26, 2019

Pages:

288

Length:

15 min 10 sec

Get the book:

Amazon

Who it's for

  • Hiring managers and recruiters

    Managers and recruiters who hire on instinct and want a way to test their judgment.

  • Trusting or overruling models

    Founders and analysts deciding when to trust a model and when to overrule it.

  • Curious about the Astros

    Sports fans curious how the Houston Astros built a champion from players other clubs overlooked.

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About the Author

Ben Reiter

Ben Reiter joined Sports Illustrated in 2004 and has since worked at the magazine as a senior writer. He has also written for Time and The Village Voice. His magazine profile of Hideki Irabu won the 2017 Deadline Award for Magazine Profile. Reiter studied at Yale and Cambridge, and Astroball is his first book.

Ratings & Reviews

Ratings at a glance

4.3

Overall score based on 29 ratings.

What people think

Listeners find this baseball narrative absorbing and expertly crafted, featuring poignant individual stories that offer a deep look into the Astros' distinctive strategy. Furthermore, the account is celebrated for documenting the franchise's path to success, and listeners value the principles that can be used across many different disciplines. The work is also lauded for being highly accessible, with one listener mentioning it acts as a perfect partner piece to Moneyball.

Top reviews

Madison

Ben Reiter delivers a masterclass in sports journalism that feels like the natural evolution of the Moneyball era. While Michael Lewis focused on the inefficiencies of the market, Astroball digs into the fascinating intersection of nerd analytics and old-school scouting. I was captivated by the portraits of Sig Mejdal and Jeff Luhnow as they built the infamous Nerd Cave. The book beautifully articulates how the Astros didn't just look at spreadsheets; they looked for the human traits that numbers often miss. It’s a compelling narrative about how a team can endure three years of 100-plus losses to reach the pinnacle of the sport. Frankly, the writing style is so fluid that it makes complex statistical concepts feel like high-stakes drama. Even if you aren't a die-hard Houston fan, the logic behind their 2017 run is undeniably brilliant.

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Somsri

The Nerd Cave comes alive in these pages as a place where traditional baseball wisdom was dissected and rebuilt. Reiter captures a moment in time when the Astros were the most innovative force in professional sports. The lessons on decision-making and risk management are applicable to almost any field, from tech startups to traditional corporations. I found the stories about the draft process, especially regarding the decision to pick Correa over other prospects, to be the most enlightening parts of the text. In my experience, the book moves fast and doesn't get bogged down in too much dry math, which is a relief. It’s a great companion piece for anyone who loved Michael Lewis’s work but wanted more focus on the players themselves. A definitive account of how the game changed forever.

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Dimitri

After hearing the hype, I finally dove in and was moved by the Houston Strong narrative woven throughout the final chapters. The way the team galvanized the city following Hurricane Harvey adds an emotional weight that balances out the cold analytics of the first half. Watching the development of Jose Altuve from a tiny kid nobody wanted to an MVP is a classic underdog story that Reiter tells with great flair. Personally, I think the book is worth reading just for the behind-the-scenes look at the 2017 World Series. It’s a well-written, engaging chronicle of a team's journey from being the laughingstock of the league to the top of the mountain. While the subsequent scandal makes some of the integrity talk feel misplaced, the sheer effort of the rebuild is still fascinating to witness.

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Sirichai

Ever wonder how a team loses 100 games and then wins it all just four years later? Ben Reiter’s account is a gripping, fast-paced look at the most successful rebuild in modern sports history. It serves as the perfect successor to Moneyball, proving that data is even more powerful when you don’t ignore the scouts. The details about the Nerd Cave and the draft room are absolute gold for any baseball nerd. I loved the focus on the Verlander trade; it really showed the human side of the front office's calculations. While the current reputation of the Astros is tarnished, this book remains a vital document of how they initially climbed the mountain. It’s a page-turner that makes you feel like you’re right there in the dugout during the 2017 World Series. Five stars for the storytelling alone.

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Sebastian

As a lifelong baseball fan, I found the personal narratives of players like Jose Altuve and Carlos Correa to be the real heart of this story. Reiter doesn’t just focus on the front office; he shows how these young athletes were pieces of a much larger, high-stakes puzzle. The way the book describes the acquisition of Justin Verlander at the waiver deadline is particularly thrilling, capturing the tension of a franchise going all-in. Truth is, the 2017 World Series victory felt inevitable by the end of the book because of the foundation laid years prior. However, reading this after the sign-stealing scandal broke adds a layer of bittersweet irony that’s hard to ignore. It’s a well-written chronicle of a journey to greatness, though some sections regarding Carlos Beltran’s leadership aged quite poorly in hindsight. Still, it’s a necessary read for anyone interested in team building.

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Chatri

Picked this up on a whim after a friend called it the better version of Moneyball, and I have to agree. The pacing is incredible, moving from the humid days of the Astrodome's history to the high-tech innovations of the modern era. I especially enjoyed the deep dive into Sig Mejdal’s background as a literal rocket scientist turned baseball guru. The book does a great job explaining Astroball as a philosophy that blends objective data with subjective human evaluation. My only real complaint is that it occasionally feels a bit too much like a PR piece for Jeff Luhnow and the McKinsey-style management. Regardless, the story of the team’s transformation is a blueprint for any organization looking to disrupt their industry. It’s engaging, deeply researched, and provides a front-row seat to the most successful rebuild in baseball history.

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Orm

Why does one team win while others tank for years without any progress? This book answers that by focusing on the relentless discipline of the Astros' management. Jeff Luhnow’s strategy was brutal—losing intentionally to hoard assets—but Reiter shows the human toll that took on the fans and the players. I liked the focus on the human element, particularly how they tried to quantify leadership through veterans like Carlos Beltran. In my experience, sports books usually lean too far into either stats or anecdotes, but this one finds the sweet spot. There are a few moments where the corporate-speak gets a little heavy, which might bore some casual readers. But if you want to understand why the defensive shift and launch angle became the law of the land, this is the book. It’s an essential, albeit now complicated, history of a championship team.

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Gabriel

To be fair, you don't even need to love the sport to appreciate the methodology here. This is a book about process, patience, and sticking to a plan when everyone else is calling you crazy. The way the Astros front office ignored the media's mockery during the 100-loss seasons is a great lesson in conviction. I was fascinated by the Decision Analysis software they built to evaluate every single player in the system. The book is incredibly readable, avoiding the math homework feel that some modern sports books suffer from. I do wish there was a bit more skepticism regarding the culture of the front office, as they come across as somewhat robotic at times. Overall, it’s an insightful look at how big data can be used to achieve seemingly impossible goals in a very short timeframe.

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Emily

It is extremely difficult to read this now without seeing a massive asterisk on every page. Reiter is a fantastic writer, and his 2014 Sports Illustrated prediction remains one of the greatest calls in sports history. But every time the book praises the intelligence of the organization, I couldn't help but think about the trash cans. The sections detailing Yu Darvish tipping his pitches in Game 7 feel particularly uncomfortable given what we know now about the scheme. Look, the analysis of how they tanked to get high draft picks is interesting, but the glorification of their unique approach feels hollow. I appreciated the insight into the front office's logic, but the cheating scandal has effectively turned this into a work of historical fiction. It is a tragic case of a great book being undermined by the reality of its subjects.

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Kanokwan

The prose is excellent, but the context is ruined by the revelations of 2019. Reiter paints a picture of a team that was smarter, faster, and more analytical than the rest of the league. It's hard to reconcile that with the reality of the sign-stealing scheme that was happening during the exact timeframe this book celebrates. When Reiter writes about the team getting out of a late-season slump in 2017, you can't help but think about the trash can banging. I found the chapters on the draft and the Verlander trade to be the most authentic parts remaining. Not gonna lie, it’s frustrating to read about their brilliance knowing they were also breaking the rules. It’s a 5-star piece of writing about a 1-star situation, so I’m settling on a middle-ground rating. A great read, but take every genius moment with a grain of salt.

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Questions about this book

Astroball follows the Houston Astros from a middling club to 2017 World Series champions. Reiter credits analyst Sig Mejdal and scout Jeff Luhnow, who treated baseball as a game of probability. They used camera tracking, scouting databases and algorithms to find undervalued players such as José Altuve, Carlos Correa and Collin McHugh, while still overruling the data when human judgment saw something it missed.

They measured what traditional scouts judged by eye. The PITCHf/x camera system revealed that McHugh sometimes threw curveballs spinning over 2,000 revolutions per minute. Mejdal’s algorithms ranked Correa first for his defense and young age. Mejdal also compared each scout’s ratings with players’ later performance to expose bias, building a team that won 101 games in 2017.

No. Reiter argues that data should be the base for most decisions, but he shows its limits. The algorithm said Justin Verlander cost too much, missing that salaries were rising across the league and that Verlander could still improve. Luhnow overruled it, and Verlander became a seven-time All-Star. Team spirit built across a language divide also mattered.

Record your judgments about people and check them against outcomes, as Mejdal did with his scouts. Look past average overall records for one exceptional strength. Value younger talent for where it is heading. Act on clear evidence of risk even when you like someone. And before trusting a model, ask whether the conditions it learned from have changed.

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