Game of Edges

1. Sports Ownership Transformed: From Hobby to Billion-Dollar Enterprise

This book is the story of how sports teams grew from regional businesses that sold tickets, hot dogs, and souvenirs into some of the most important and innovative companies in their markets, and in some cases around the world.

Evolving landscape. In the early 1980s, sports teams were often affordable for local businessmen and run as hobbies, with owners like Preston Robert Tisch viewing a $75 million investment in the New York Giants as negligible. Revenue from television was insubstantial, and franchises frequently relocated or folded. The focus was on local rivalries and player controversies.

Exponential growth. By the 1990s, cable television and the internet transformed sports into a unique form of live entertainment, driving rights fees skyward. This led to an exponential increase in franchise values:

• Indiana Pacers: $4.5 million (1983) to $75 million (1993) for San Antonio Spurs, to $401 million (2003) for Phoenix Suns, to $2 billion (2014) for Los Angeles Clippers.
• Boston Red Sox: $700 million (2003) for a team that hadn't won since 1918.
  This growth attracted a new generation of owners—corporate magnates, tech entrepreneurs, and investment bankers—who viewed teams as serious investments, not just playthings.

Scarcity and value. With expansion slowing, sports franchises became akin to oceanfront real estate: limited in number and appreciating rapidly. Owners like John Henry, who bought the Red Sox, began treating teams with the diligence of any other significant business asset, recognizing that their value could surpass traditional blue-chip companies. This shift marked an inflection point, demanding a more rational, data-driven approach to management.

2. Moneyball's Revolution: Data-Driven Decisions on the Field

In what amounted to a systematic scientific investigation of their sport, the Oakland front office had reexamined everything from the market price of foot speed to the inherent difference between the average major league player and the superior Triple-A one.

Challenging orthodoxy. Michael Lewis's "Moneyball" chronicled how Billy Beane's underfunded Oakland A's used data analysis to identify undervalued players and exploit inefficiencies in baseball. This approach, pioneered by analysts like Paul DePodesta, questioned long-held truisms about player evaluation and game tactics.

• Walks were good, bunting was bad.
• Focus on actual value, not traditional appearances or scouting "intangibles."

Spreading influence. The A's success (eight straight seasons finishing first or second in their division) propelled data analysis throughout baseball and then to other sports. Teams like the Boston Red Sox, with Theo Epstein as general manager, adopted "Moneyball with money," combining analytical insights with significant financial resources to win championships. This led to a trend of hiring young, mathematically minded executives over traditional baseball lifers.

Early resistance and validation. Many traditionalists, including scouts and veteran journalists, initially scorned the analytical approach, dismissing it as "Google Boy" tactics. However, the consistent success of teams like the A's and Red Sox, and later the Celtics under Daryl Morey, gradually validated the methodology. It demonstrated that a systematic, scientific investigation of sports could uncover hidden value and provide a competitive edge.

3. Business Analytics: Optimizing Off-Field Operations and Fan Engagement

As an industry, we are definitely above the average today. We are in the upper quadrant for sure.

Lagging behind, then surging. Historically, sports franchises lagged behind other industries in applying sophisticated business tools. Their business operations were often rudimentary, with limited data on fans and inefficient processes. However, new owners and executives like Tim Zue of the Red Sox began to change this, recognizing the untapped potential in optimizing off-field operations.

Data integration and personalization. Zue's work at the Red Sox involved integrating disparate fan databases to create a comprehensive, interactive profile of their customer base. This allowed for:

• Personalized fan engagement (e.g., dispatching staff to greet VIPs).
• Targeted marketing (e.g., postcards to 70,000 households yielding $600,000 in season ticket sales).
• Dynamic pricing strategies, moving from static $52 tickets to tiered pricing based on demand, opponent, and day.

Industry-wide adoption. The success of these initiatives spurred other teams to invest in business analytics. The Red Sox even started hosting an MLB business analytics conference, which grew from 10 teams in 2015 to all 30 by 2020. This shift transformed sports organizations into high-performing businesses, leveraging data to enhance everything from ticketing to retail and fan relationships, ultimately increasing revenue and engagement.

4. Silicon Valley's Influence: Venture Capital Principles in Franchise Management

We’re light-years ahead of probably every other team in structure, in planning, in how we’re going to go about things.

A new ownership model. Joe Lacob, a Silicon Valley venture capitalist, applied the principles of nimble management, open communication, and continuous reevaluation to the Golden State Warriors. He assembled a diverse ownership group with expertise in media, real estate, and technology, treating the franchise as a start-up with immense growth potential.

• Peter Guber (movie producer): video, content, live entertainment.
• Chad Hurley (YouTube co-founder): digital expertise.
• Nick Swinmurn (Zappos founder): fashion, retail marketing.

Disrupting traditional structures. Lacob eschewed industry veterans for smart, ambitious novices like general manager Bob Myers, who had no prior team experience. He fostered an environment of open dialogue, even removing office walls to encourage collaboration. This approach, initially met with skepticism and even boos (e.g., the Monta Ellis trade), proved highly successful.

Long-term vision and calculated risks. Lacob's venture capital mindset meant taking a long view, making contentious decisions, and investing in the right people and systems for ultimate growth. His decision to extend Stephen Curry's contract despite ankle injuries, based on a "commonsense comment" about ankle injury careers, proved pivotal. This blend of strategic planning and calculated risk-taking, common in tech, propelled the Warriors to multiple championships and a valuation exceeding $4 billion.

5. Soccer Embraces Analytics: Quantifying the "Beautiful Game"

Everything depends on everything else in football, which is what makes it so difficult.

Overcoming skepticism. Soccer, often called "the beautiful game," was long considered unsuited for analytics due to its fluid nature and low-scoring games, where chance plays a significant role. Traditionalists, like manager Sam Allardyce, argued that stats couldn't measure character or desire. However, mathematically minded owners and analysts began to challenge this view.

Liverpool's "laptop club." John Henry's Fenway Sports Group, owners of the Boston Red Sox, brought data analysis to Liverpool FC. Ian Graham, Liverpool's director of research with a doctorate in theoretical physics, built a database tracking over 100,000 players. His models, which assessed player performance and team luck, were instrumental in hiring manager Jürgen Klopp and identifying undervalued talent.

• Klopp's disappointing Dortmund season was revealed by data to be due to bad luck, not poor coaching.
• Graham's analysis led to the acquisition of Mohamed Salah, who had an "undistinguished tenure" at Chelsea but thrived at Liverpool, becoming a world-class goal scorer.

Advanced metrics and recruitment. Graham's team developed models that quantified how much each player affected their team's chance of winning during a game, moving beyond basic stats like pass completion. This allowed them to identify players like Naby Keïta, whose unique contributions were not apparent through conventional metrics. Liverpool's success, including Champions League and Premier League titles, made analytics acceptable, even fashionable, in English football.

6. The Human Element: Intuition, Chemistry, and Unquantifiable Value

I often wonder, ‘Do other people have that same feeling and then it doesn’t happen?’ Because I knew it was going to happen.

Beyond the numbers. While analytics gained dominance, the Kansas City Royals, under manager Ned Yost, achieved unexpected success by seemingly disregarding data. Yost, an old-school baseball man, prioritized player relationships, clubhouse chemistry, and intuition over statistical optimization. He allowed players to bunt and steal freely, believing that fostering a "lack of inhibition" led to more productive play.

Developing talent and confidence. Yost's approach focused on developing young players, even if it meant losing games in the short term. He instilled confidence in struggling players like Mike Moustakas, believing in their future potential despite poor statistics. This "player's manager" style created a comfortable clubhouse where players felt free to be themselves, which Yost argued mattered more than any statistical advantage.

The limits of quantification. The Royals' 2014 and 2015 World Series runs challenged the notion that analytics provided all the answers. Attributes like calmness, confidence, and chemistry, while difficult to quantify, appeared to offset statistically suboptimal decisions. Yost's success highlighted that some aspects of sports, such as a manager's ability to inspire or a team's collective belief, remain beyond the current scope of data analysis.

7. Social Activism: Teams as Platforms for Progressive Change

If Ann Coulter is against something we’re doing, that’s probably a pretty good sign.

Shifting norms. Historically, professional sports franchises avoided political stances to maintain broad appeal. However, the rise of social media and increased player activism, particularly in the NBA, began to change this. LeBron James and other players used their platforms to advocate for social justice, emboldened by large contracts that mitigated financial risk.

Owners taking a stand. Ryan Smith, owner of the Utah Jazz, exemplified this new approach. Despite Utah's conservative political leanings, Smith used the Jazz platform for progressive causes:

• Funding college education for students of color for every Jazz win.
• Announcing a $4 million initiative for LGBTQ youth safe-haven homes.
  Smith viewed this activism as a form of optimizing the franchise, attracting like-minded players and innovators, and enhancing the team's brand.

WNBA's bold moves. The WNBA, with its predominantly non-white player base, became a leader in team-level activism. The Seattle Storm, owned by Ginny Gilder, Lisa Brummel, and Dawn Trudeau, hosted a "Planned Parenthood Night," making ticket purchases a political act. The Atlanta Dream famously wore "VOTE WARNOCK" T-shirts, directly opposing co-owner Kelly Loeffler's conservative politics. These actions, while controversial, generated national attention and redefined the teams' identities, demonstrating that activism could be a viable business strategy for certain markets and leagues.

8. Gambling's Integration: A New Revenue Stream and Engagement Driver

What," he'd ask them, "are you so afraid of?"

From taboo to essential. For nearly a century after the 1919 Black Sox scandal, professional sports leagues vehemently opposed gambling. However, by the 2010s, declining TV viewership and the need for new revenue streams led to a dramatic shift. Ted Leonsis, owner of the Washington Capitals and Wizards, tirelessly advocated for legalizing sports betting, seeing it as a vast, untapped source of income and fan engagement.

Legalization and rapid expansion. The 2018 Supreme Court ruling in Murphy v. NCAA opened the door for states to legalize sports betting. This led to:

• Rapid growth of online sportsbooks like DraftKings and FanDuel.
• Billions of dollars wagered monthly in states like New Jersey.
• New revenue streams for leagues and teams through data licensing and sponsorships.
• Stadiums and arenas building on-site betting parlors, like the Cubs' DraftKings Sportsbook at Wrigley Field.

Enhanced fan engagement. Leonsis argued that gambling transforms fans into participants, increasing their engagement and the time they spend watching games. Real-time betting on individual plays or player performance creates a constant "crunch time" experience. While concerns about addiction and competitive integrity remain, proponents argue that regulated digital betting offers better monitoring and protection than the previous black market.

9. Unintended Consequences: Analytics' Impact on Game Aesthetics and Fan Experience

Who wants to be blocked by a jo or a qi or a ka?

Baseball's "existential crisis." Theo Epstein, a pioneer of analytics, later became a critic of its unintended consequences on baseball. The relentless pursuit of "edges" led to strategies that, while efficient, made the game less entertaining:

• Extreme infield shifts: Reduced balls in play, fewer exciting hits.
• "Three True Outcomes" (home runs, walks, strikeouts): Increased from 18.5% to nearly 25% of plate appearances, leading to less action.
• Shorter starts, more relievers: Diminished heroic pitching performances.
• Longer elapsed time between balls in play: Drove down TV ratings and alienated casual fans.

Basketball's evolving aesthetics. Similarly, in basketball, the analytical emphasis on three-pointers, while mathematically sound, led to a less diverse and, for some, less exciting style of play. The prevalence of jump shots over drives, lay-ups, and dunks, once celebrated for individual creativity, contributed to declining NBA ratings.

The dilemma of optimization. The decision to remove Blake Snell from Game Six of the World Series, though analytically justified, highlighted the tension between optimizing for wins and providing compelling entertainment. Analytics prioritizes process and probability over heroism or narrative. This raises a fundamental question: for whom are sports being optimized? If the most efficient way to play isn't the most enjoyable, it risks eroding the emotional attachment that draws fans in the first place.

10. The Future of Sports: Global Conglomerates and Data Dominance

The value is in the data. The value is in the system that put it together and made it useful for everybody. It’s taking Moneyball to a whole different dimension.

Beyond single-team ownership. The City Football Group, an umbrella organization for Manchester City and 12 other clubs worldwide, exemplifies the future of sports ownership. Run like an international corporation, it leverages economies of scale, talent management, and data sharing across its global network. This allows for:

• Strategic player development and transfers between subsidiary clubs (e.g., Lommel to Troyes to Manchester City).
• Access to a global network of data and scouting expertise.
• Diversified revenue streams and sponsorship opportunities across continents.

Professionalization and its challenges. This corporate approach, while highly successful in terms of competitive performance and profitability (winning championships across multiple leagues), faces resistance. Local fan bases, like those of NAC Breda, protested against their clubs being subsumed into a global conglomerate, fearing a loss of "local flavor" and "soul." This highlights a core tension: the drive for global optimization versus the deeply tribal and local nature of football.

The enduring power of data. Despite these challenges, the trend towards data-driven decision-making and corporate structures continues. Companies like Kraft Analytics Group now consult for other franchises, demonstrating how analytics, initially focused on on-field performance, has become indispensable for every aspect of sports business. The future promises even more sophisticated data applications, from player development to fan engagement, further transforming sports into a highly professionalized, globally interconnected industry.