What is *Beautiful Game Theory* by Ignacio Palacios-Huerta about?

*Beautiful Game Theory* explores how game theory applies to real-world scenarios, using soccer as a testing ground to analyze human behavior, strategic decision-making, and economic principles. Ignacio Palacios-Huerta demonstrates how concepts like Nash equilibrium and risk assessment manifest in sports, offering data-driven insights into competitive dynamics.

Who should read *Beautiful Game Theory*?

This book is ideal for economics students, soccer enthusiasts, and professionals interested in strategic thinking. Its blend of sports anecdotes and rigorous theory appeals to educators seeking real-world teaching tools and general readers curious about behavioral economics.

Is *Beautiful Game Theory* worth reading?

Yes, the book is praised for its innovative approach to explaining complex theories through soccer. It bridges academia and popular science, making it accessible to economists and casual readers alike. Critics highlight its empirical depth and relevance to understanding decision-making under pressure.

How does *Beautiful Game Theory* use soccer to explain Nash equilibrium?

The book analyzes penalty kicks as real-life examples of Nash equilibrium, where goalkeepers and kickers optimize strategies based on opponents’ likely moves. Palacios-Huerta uses soccer data to show how players unconsciously adhere to game theory principles, achieving balanced outcomes.

What practical applications does *Beautiful Game Theory* offer?

It provides frameworks for strategic planning in business, negotiations, and risk management. For instance, the book’s analysis of penalty shootouts reveals how predictability and randomness influence success—a lesson applicable to competitive markets and decision-making under uncertainty.

What are the criticisms of *Beautiful Game Theory*?

Some note that the book focuses on aggregate data rather than individual psychology, potentially oversimplifying human behavior. Others suggest deeper exploration of cultural factors in soccer strategies would enhance its arguments.

How does *Beautiful Game Theory* explain risk and fear in decision-making?

Using examples like terrorist attacks and air travel, the book argues that people weigh subjective fear against objective risk. Individuals frequenting high-risk environments (e.g., regular fliers) align their behavior with statistical probabilities, while occasional participants overestimate dangers.

What makes soccer a unique laboratory for economic analysis?

Soccer offers standardized rules, global data, and observable outcomes—ideal for testing theories like market efficiency and behavioral biases. Palacios-Huerta leverages penalties, player salaries, and team strategies to validate economic hypotheses.

プロサッカーの数理データ解析

サッカーが経済学にどう役立つか

イグナシオ・パラシオス＝ウエルタ

3.53(92 Reviews)

『プロサッカーの数理データ解析』の概要

サッカーと経済学が融合するこの画期的な分析では、ペナルティキックがゲーム理論を明らかにし、コーナーキックが戦略的行動を説明します。現在、経済学者たちはパラシオス＝ウエルタのサッカーデータを用いて金融市場を予測しています。なぜPK戦が、ビジネス上の意思決定において数十億ドルの価値がある洞察をもたらすのか、考えたことはありますか？

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第1章

When Soccer Meets Economics: The Beautiful Game's Hidden Laboratory

Soccer isn't just the world's most popular sport-it's also an extraordinary laboratory for economic theory. When Palestinian terrorists in Gaza paused their political discussions to celebrate Manchester United's victory, they demonstrated soccer's unparalleled global reach. While both Marxism and soccer emerged from 19th-century industrialization, soccer triumphed by offering something deeper: a clan (club), temple (stadium), war (rivalry), and eternity (tradition). Today, approximately half of humanity watches World Cup finals. "Beautiful Game Theory" has become a cultural phenomenon, praised by Nobel laureates and featured in publications from The Economist to Sports Illustrated. The book flips traditional sports economics on its head-instead of applying economics to sports, it examines what soccer can teach us about economics, using the beautiful game's rich data to test fundamental theories about human behavior that might otherwise remain hidden.

第2章

Game Theory's Perfect Penalty Kick Laboratory

The penalty kick in soccer represents perhaps the purest real-world application of game theory ever discovered. Invented by William McCrum in 1890-91 in Northern Ireland, this one-on-one confrontation faced fierce initial opposition from traditionalists who believed it would make the game too high-scoring. However, it has since become one of soccer's most dramatic moments, creating a fascinating strategic duel between kicker and goalkeeper that perfectly embodies game theory principles. The mechanics of the penalty kick make it uniquely suited for game theoretical analysis. With the ball traveling from the penalty mark to goal in just 0.3 seconds-significantly faster than human reaction time of 0.5-0.7 seconds-both players must commit to their actions simultaneously without knowing the other's choice. The kicker must decide between shooting left, right, or center, while the goalkeeper must choose which way to dive, creating a classic strategic interaction. This scenario creates the ideal testing ground for John von Neumann's minimax theorem, a cornerstone of game theory developed in 1928. The theorem states that in two-person, zero-sum games with finite strategies, there exists an optimal mixed strategy for each player that minimizes their maximum possible loss. This generates two testable implications: first, scoring probabilities should be identical across all chosen strategies (otherwise players would favor the more successful option), and second, players' choices should demonstrate true randomness to prevent predictability. Extensive research analyzing over 9,000 professional penalty kicks has revealed something remarkable-the behavior of world-class players matches game theory predictions with astonishing precision. Statistical tests confirm that for elite players, the success rates when shooting left, right, or center are statistically indistinguishable, hovering around 75-80%. Additionally, sophisticated analysis of kick sequences shows genuine randomness in strategy selection, with no discernible patterns that opponents could exploit. The practical value of these game-theoretic insights was dramatically demonstrated during the 2008 UEFA Champions League final between Chelsea and Manchester United in Moscow. Pre-match analysis based on game theory correctly identified that Manchester United's goalkeeper Edwin van der Sar had a strong tendency to dive right against right-footed kickers, especially in high-pressure situations. When Chelsea's Nicolas Anelka stepped up for the decisive penalty in the shootout, he ignored this strategic insight and shot right anyway. Van der Sar, having studied the probabilities, was waiting-a costly mistake that sealed Chelsea's defeat and cost them the most prestigious trophy in European club football. This real-world application has since influenced penalty kick training at the highest levels, with teams now employing data analysts to study opponents' tendencies and develop optimal mixed strategies. The penalty kick continues to serve as a living laboratory for game theory, demonstrating how mathematical principles can have direct practical applications in competitive sports.

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第3章

Laboratory vs. Real-World Behavior: Bridging the Gap

Can laboratory experiments predict real-world strategic behavior? This question has long troubled economists, but soccer provides a unique opportunity to compare the same individuals' behavior across both settings. When professional players from Spanish La Liga and Segunda Division participated in laboratory experiments mirroring the penalty kick situation, their behavior matched game theory predictions with remarkable precision. Goalkeepers' strategies aligned almost perfectly with theoretical predictions, showing only a 2% deviation from optimal mixed-strategy frequencies, while kickers showed minor deviations of around 5-7% from theoretical benchmarks. More importantly, these professionals demonstrated true randomization abilities that previous laboratory subjects consistently failed to achieve. In standardized tests of serial correlation and runs tests, professional players achieved randomization scores indistinguishable from computer-generated random sequences. This suggests that professional experience transfers effectively to laboratory settings when experimental conditions closely mirror real-world situations. The players' ability to maintain unpredictable patterns was particularly evident in extended sequences of decisions, where they avoided common human biases like the gambler's fallacy or hot hand beliefs. However, this transfer isn't universal. When testing players from less competitive leagues like Major League Soccer, significant deviations from optimal play appeared. Approximately half failed to equate payoffs across strategies as minimax requires, with average deviations of 15-20% from optimal proportions. Furthermore, 60-70% failed standardized randomization tests, showing clear patterns in their decision sequences. Remarkably, 44% of MLS players reported they would use pure strategies in penalty kicks (always kicking to the same spot)-a clear violation of optimal play that would make them extremely predictable to opponents. These differences stem from several factors: European leagues' century-long competitive history, greater financial incentives for skill development (with top players earning 5-10 times more than their MLS counterparts), and the crucial fact that strategic skill development requires opponents who also play optimally. The Spanish league's average penalty conversion rate of 76% compared to MLS's 68% further illustrates this gap. The lesson is clear: laboratory experiments can predict field behavior, but only when both experimental design and subject population closely match real-world conditions. This includes not just the physical parameters of the task, but also the competitive environment, incentive structures, and skill level of both players and opponents. The findings have broader implications for experimental economics, suggesting that professional expertise can transfer to artificial settings, but this transfer depends heavily on the depth and quality of real-world experience. This insight helps explain why some laboratory experiments fail to replicate field behavior while others succeed remarkably well.

第4章

The Neuroscience of Strategic Decision-Making

What happens in the brain during strategic decision-making? Using fMRI technology with 40 subjects playing the penalty kick game, researchers observed remarkable neural patterns that shed light on how our brains process complex strategic choices. Activity in the left inferior prefrontal cortex strongly correlated with subjects' ability to equate payoffs across strategies, while the right inferior prefrontal region related to generating random sequences of choices. This bilateral activation pattern suggests that strategic thinking requires coordination between multiple brain regions. The penalty kick experiment revealed that successful strategic players showed increased activation in both regions simultaneously, indicating that optimal decision-making requires balanced engagement of these neural circuits. Interestingly, subjects who performed poorly at the game often showed imbalanced activation patterns, with one region dominating over the other. This finding suggests that effective strategic thinking requires a harmonious interaction between different cognitive processes. This research addresses a fundamental debate about neuroscience's relevance to economics-whether neural data can improve economic models or are merely irrelevant to economic predictions. The findings suggest that specific brain regions handle different aspects of strategic thinking, with distinct neural circuits responsible for the two key components of minimax play: equalizing payoffs and randomizing choices. Additional studies have shown that damage to either region can impair strategic decision-making abilities, further supporting their essential roles. The implications extend beyond game theory into real-world applications. Business leaders making strategic decisions show similar neural activation patterns when evaluating competitive scenarios. Investment managers analyzing market strategies demonstrate comparable brain activity when weighing risk-reward tradeoffs. These parallels suggest common neural mechanisms underlying various forms of strategic thinking. These discoveries contribute to the growing field of neuroeconomics, which aims to create "a theory of economic choice and exchange that is neurally detailed, mathematically accurate, and behaviorally relevant." By connecting mathematical game theory with observable brain activity, researchers are beginning to understand the biological foundations of strategic decision-making. Recent studies have expanded this work to examine how factors like stress, emotion, and time pressure affect these neural circuits, providing insights into why strategic decision-making quality can vary under different conditions. The research has practical applications in multiple fields, from developing better training programs for strategic thinking to creating more effective decision-support systems. Understanding the neural basis of strategic thinking may also help explain why some individuals excel at strategic planning while others struggle, potentially leading to more targeted interventions and teaching methods.

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第5章

Psychological Pressure in Competitive Settings

Penalty shootouts provide an ideal natural experiment for studying psychological pressure. When teams are tied after regulation and extra time, a shootout determines the winner-with teams alternating kicks in a predetermined order decided by coin toss. This creates a randomized experiment where treatment (kicking order) is determined by chance, involving professionals performing a simple task with high stakes. Analysis of 1,001 penalty shootouts with 10,431 kicks reveals a significant advantage to kicking first-teams going first win approximately 60% of shootouts. This advantage persists across various statistical models controlling for team quality and other factors. Surveys show that players and coaches are generally aware of this advantage, with 96% preferring to kick first when given the choice. This pattern extends beyond soccer. NBA free throw data shows players perform better when ahead on the scoreboard. Golf studies reveal professionals hit birdie putts less accurately than similar par putts, demonstrating loss aversion. Chess matches show players who begin with white pieces (randomly determined) win about 60% of matches versus the expected 50%. These findings suggest that randomly determined order, while ex ante fair, may not be ex post fair due to psychological effects of leading versus lagging. To create both ex ante and ex post fair competitions, researchers propose using the Prouhet-Thue-Morse sequence rather than strict alternation. This mathematical sequence (ABBA BAAB BAAB ABBA) continuously reverses previous patterns to compensate for any advantage. Experiments with professional soccer players confirm its effectiveness in nearly eliminating first-mover advantage.

第6章

Market Efficiency in Betting Markets

Soccer provides economists with a unique laboratory to test the efficient-markets hypothesis. Unlike financial markets where news arrives continuously and often ambiguously, soccer matches feature a clean break at halftime when the playing clock stops but betting continues-creating a perfect window to examine market efficiency. This natural experiment setup allows researchers to isolate price movements and market reactions with unprecedented clarity. Modern betting has evolved dramatically from traditional bookmakers to sophisticated online betting exchanges like Betfair, which function as order-driven markets allowing customers to both back (bet on) and lay (bet against) outcomes during live events. These platforms operate similarly to stock exchanges, with continuous price discovery and real-time order matching. The average soccer match sees over $6 million staked, with half occurring during live betting-equivalent to $31,627 per minute or $527 per second. This high-frequency trading environment creates deep liquidity and tight bid-ask spreads, particularly for major matches. When goals occur just before halftime ("cusp goals"), researchers can observe whether betting prices respond immediately (efficient) or drift during the news-free halftime interval (inefficient). These cusp goals are particularly valuable for research because they represent clear, discrete information events followed by a predetermined period of no new information. The evidence provides conclusive support for market efficiency-prices incorporate news so rapidly and completely that profitable trading on any potential price drift is impossible. Even goals scored in the final minute before halftime see near-instantaneous price adjustments. This efficiency contrasts with mixed findings in financial markets, which typically face limitations in determining when news breaks or understanding the information content in the absence of news. Financial markets often struggle with information ambiguity, multiple simultaneous events, and varying interpretations of news impact. The betting market study's innovative approach of using the break in play to separate event time from trading time allows researchers to distinguish between efficient game time-related drift and potentially inefficient price drift. The research also reveals sophisticated market behavior around other game events. For instance, red cards, injuries to key players, and tactical substitutions all trigger rapid price adjustments reflecting their expected impact on match outcomes. The speed of these adjustments suggests a high degree of market sophistication, with participants quickly processing complex information about team dynamics and game strategy. These findings have important implications for understanding market efficiency more broadly, suggesting that when information is clear and unambiguous, markets can achieve remarkable efficiency in price discovery, even with retail participants dominating trading activity.

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『プロサッカーの数理データ解析』の一語一語が音声に合わせてリアルタイムでハイライトされ、自然に読み進められます。

第7章

Social Pressure and Referee Bias

How does social pressure influence decision-making, particularly in contexts where corruption might occur? Using professional soccer referees as subjects, researchers investigate whether judges internalize the preferences of spectators and favor home teams. The study focuses specifically on injury time decisions, which provide a quantifiable measure that should objectively depend on observable events like injuries, substitutions, and time-wasting incidents during regular play. The evidence reveals striking bias patterns across multiple leagues and seasons: referees add 35% more injury time when home teams are behind by one goal, but 29% less when they're ahead by one goal-differences that disappear in non-close games. For example, in matches where the home team trails by a single goal, referees typically add around 4 minutes of stoppage time, compared to roughly 3 minutes in neutral situations. This bias increased significantly after rule changes made wins more valuable (3 points instead of 2), suggesting referees' susceptibility to crowd pressure intensifies when stakes are higher. The magnitude of crowd influence proves particularly telling. In stadiums filled to capacity, the home team bias is approximately double that observed in half-empty venues. When away fans represent a significant portion of spectators (20% or more), the bias diminishes by nearly 50%, confirming that referees respond directly to social pressure from the stadium crowd. This effect is especially pronounced in high-stakes matches like derby games or season-deciding fixtures. The research identifies specific mechanisms behind referee bias through detailed statistical analysis. Larger crowds generate more bias, with a one standard deviation increase in attendance causing home bias to rise by 20%. This translates to about 30 additional seconds of injury time when home teams need it most. The effect is amplified in stadiums with steeper stands where fans are closer to the field, creating more intense atmospheric pressure on officials. Elite clubs like Barcelona and Real Madrid particularly benefit from referee favoritism, receiving on average 25% more favorable injury time decisions than mid-table teams. This advantage becomes even more pronounced in crucial matches that could determine championship outcomes. Interestingly, while individual referees show varying degrees of susceptibility to crowd pressure, the vast majority (over 90%) display some level of home team bias, suggesting this is a systemic rather than individual phenomenon. The findings have broader implications for understanding how social pressure affects decision-making in professional contexts, particularly when judgments must be made under uncertainty and time pressure. The research also highlights how institutional design and environmental factors can either amplify or mitigate such biases.

第8章

When Stronger Incentives Backfire

When FIFA changed the point system from 2-1-0 to 3-1-0 (awarding three points for a win instead of two), they hoped to encourage more attacking play and goals. However, detailed analysis reveals that while offensive efforts increased by about 10%, sabotage activities like fouls, tactical time-wasting, and aggressive defending also increased by 12.5%, resulting in no net change in goals scored. This phenomenon illustrates how participants often find unexpected ways to respond to incentive changes that can undermine the original objective. Teams that gained a one-goal lead became noticeably more defensive to protect their advantage, effectively "freezing the score." After the rule change, teams ahead became significantly less likely to score goals, typically deploying fewer forwards and more defenders. Coaches would routinely substitute attacking players for defenders around the 60-70 minute mark when leading, and teams would employ time-wasting tactics like slow goal kicks and throw-ins. The study confirms this represented undesirable sabotage rather than increased intensity, as stadium attendance decreased when teams played dirtier. Fans reported less satisfaction with matches that featured excessive fouling and defensive tactics. The economic impact was substantial. Back-of-envelope calculations suggest the three-point rule reduced stadium attendance by 6-8% and TV audiences by 2-4%, making the league approximately 5% poorer as a result of the incentive change. This translated to millions in lost revenue from ticket sales, broadcasting rights, and merchandise. Smaller clubs were particularly affected as they relied more heavily on match-day income. These findings support the modern view of incentives that emphasizes the costs incurred when agents reoptimize away from the principal's objective in response to stronger incentives. Similar patterns have been observed in other contexts, such as when sales commissions lead to aggressive tactics that damage customer relationships, or when standardized testing requirements cause teachers to "teach to the test" rather than focus on broader educational goals. The FIFA case demonstrates how even well-intentioned incentive changes can backfire when participants find creative ways to maximize their rewards while potentially undermining the system's original purpose. The experience has influenced how sports authorities approach rule changes, with greater emphasis now placed on pilot testing and careful analysis of behavioral responses before implementing major systemic changes. Modern incentive design increasingly considers not just the direct effects but also potential strategic adaptations by participants.

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第9章

Overcoming Fear Through Economic Incentives

Fear permeates soccer's most intense rivalries, from Flamengo vs. Fluminense in Brazil to Boca Juniors vs. River Plate in Argentina, creating an atmosphere of tension that affects both players and spectators. Violence manifests in multiple forms: firecrackers launched into opposing fan sections, military-grade flares illuminating the night sky, homemade bombs constructed from household materials, and organized fights involving weapons ranging from brass knuckles to machetes. These incidents raise fundamental questions about the nature of fear itself: How rational is this fear? Can it be conquered through systematic approaches? Becker and Rubinstein revolutionized our understanding of fear by developing the first rational economic approach to this emotion. Their groundbreaking research argued that people possess inherent capabilities to control fear and can learn to manage it effectively. Their key insight revealed that an individual's willingness to invest in controlling fear directly correlates with economic costs and benefits, creating predictable patterns of behavior across different demographic groups and situations. When applied specifically to soccer attendance, empirical data confirms all five key predictions of their theoretical model. Education levels emerge as a crucial factor in fear responses, with higher-educated fans demonstrating significantly more resilient attendance patterns following violent incidents. Those with university degrees showed only a 15% drop in attendance compared to a 40% decrease among those with basic education. Media coverage plays an equally pivotal role - matches ending after midnight, when newspapers can't meet print deadlines, showed 30% smaller attendance drops in subsequent games compared to those ending before midnight when media outlets could provide extensive coverage including graphic photographs and detailed violence reports. The evidence strongly suggests that emotional disquiet, rather than actual risk of physical harm, drives behavioral changes. People respond primarily to fear itself, not to objective risk assessments. This capacity to control emotions depends heavily on incentives and repeated exposure, as dramatically demonstrated during Argentina's 1988-89 soccer season. During this period, teams faced penalty shootouts approximately every three weeks - representing a 9,000% increase in exposure compared to normal conditions. This intense practice regimen produced remarkable results: the psychological pressure effects typically associated with high-stakes penalty kicks virtually disappeared. Professional players, when faced with sufficient economic incentives and regular exposure, demonstrated an impressive ability to overcome their emotional responses through systematic training. The research further revealed that fans who attended matches regularly showed a 25% smaller fear response to violent incidents compared to occasional attendees, suggesting that repeated exposure helps build resilience. Additionally, economic incentives played a clear role: when ticket prices were significantly discounted following violent incidents, attendance recovered 40% faster than in cases without price adjustments, indicating that financial motivation can help overcome fear-based behavior.

第10章

Breaking Down Racial Barriers Through Competition

English soccer provides an ideal testing ground for examining discrimination, with its competitive player market, measurable performance, and significant black player population (growing from just 4 players in 1978 to 98 by 1993). The research examines whether discrimination exists by testing if teams with more black players outperform others with similar wage bills. The data shows discriminating clubs performed worse than their wage expenditure would predict. Discrimination was strongest in later years (1986-93) when black representation increased to 7.5%, and more pronounced in larger clubs where financial stakes were higher. The discrimination penalty averaged 5% of a club's wage bill-around 250,000 annually for top clubs in 1993. Evidence suggests owner discrimination rather than fan prejudice drove hiring practices-black player representation had no significant impact on match attendance or club revenues. Economic theory predicts competition should eliminate discrimination over time as non-discriminating clubs gain competitive advantage. Indeed, English soccer became more competitive after 1993, with clubs listing on stock exchanges, ownership turnover increasing, and foreign owners entering the market. Simultaneously, black player representation tripled from 10% in 1993 to nearly 30% by 2008. Follow-up analysis confirms the discrimination effect disappeared during this period, supporting the theory that market competition eventually eliminates racial wage premiums. Nelson Mandela's belief that "sport has the power to change the world" finds support in soccer's role breaking down racial barriers. Just as the Springboks' 1995 Rugby World Cup victory united South Africa, France's 1998 World Cup triumph helped redefine national identity. Led by Zinedine Zidane, born to Algerian parents, France's diverse team triumphed 3-0 over Brazil in the final, sparking unprecedented nationwide celebration and explicitly recognizing the country as a multiracial community.

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『プロサッカーの数理データ解析』の主要テーマ

minimax theorem
mixed strategy equilibrium
strategic randomization
zero sum games
behavioral data analysis

『プロサッカーの数理データ解析』の名言

Soccer isn't just the world's most popular sport-it's also an extraordinary laboratory for economic theory.
Laboratory experiments can predict field behavior, but only when both experimental design and subject population closely match real-world conditions.
Soccer triumphed by offering something deeper: a clan (club), temple (stadium), war (rivalry), and eternity (tradition).
The penalty kick in soccer represents perhaps the purest real-world application of game theory ever discovered.
Approximately half failed to equate payoffs across strategies as minimax requires.

『プロサッカーの数理データ解析』の登場人物

Ignacio Palacios-HuertaAuthor and economist who studied penalty kicks
John von NeumannMathematician who developed the minimax theorem
Edwin van der SarManchester United goalkeeper in the 2008 final
Nicolas AnelkaChelsea player who took a decisive penalty kick
William McCrumInventor of the penalty kick in 1890-91

著者について

『Beautiful Game Theory: How Soccer Can Help Economics（邦題：美しきゲーム理論：サッカーが教えてくれる経済学）』の著者であるイグナシオ・パラシオス＝ウエルタは、厳格な学術研究と現実世界への応用を橋渡しすることで知られる、一流の経済学者でありゲーム理論の専門家です。ロンドン・スクール・オブ・エコノミクス（LSE）の経営・経済・戦略学の教授を務める彼は、シカゴ大学で博士号を取得し、ブラウン大学やスタンフォード大学でも教鞭を執ってきました。

彼の画期的な研究は、サッカーを経済原則を検証するための「実験室」として活用し、世界で最も人気のあるスポーツというレンズを通して、混合戦略、インセンティブ、行動バイアスといったトピックを分析しています。

パラシオス＝ウエルタのキャリアは、学術的な権威と実務的な影響力を兼ね備えています。彼はスペインのアトレティック・クルブ・デ・ビルバオでタレント・アイデンティフィケーション（才能発掘）の責任者を務めており、データ駆動型の知見をエリートスポーツに適用しています。サッカーと経済理論を体系的に結びつけた最初の著作として称賛される本書は、学術界とスポーツアナリティクスの両分野で広く引用されています。彼の研究は、金融機関からプロリーグに至るまで、様々な組織が使用するフレームワークを形成し、実験経済学のパイオニアとしての名声を確固たるものにしました。『Beautiful Game Theory』は多言語に翻訳されており、普遍的な経済原則が予期せぬ文脈でどのように現れるかを理解するための必読書であり続けています。

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"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

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コロンビア大学卒業生がサンフランシスコで開発

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"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

BeFreedがウェブ上でどのように話題になっているかをもっと見る

今すぐ学習の旅を始めよう

第9章

プロサッカーの数理データ解析

概要『プロサッカーの数理データ解析』の概要

1冊の本。さまざまな聴き方。

When Soccer Meets Economics: The Beautiful Game's Hidden Laboratory

Game Theory's Perfect Penalty Kick Laboratory

聴きながら、すべての言葉を目で追えます

Laboratory vs. Real-World Behavior: Bridging the Gap

The Neuroscience of Strategic Decision-Making

『プロサッカーの数理データ解析』をもっと深く楽しむ

Psychological Pressure in Competitive Settings

Market Efficiency in Betting Markets

聴きながら、すべての言葉を目で追えます

Social Pressure and Referee Bias

When Stronger Incentives Backfire

『プロサッカーの数理データ解析』をもっと深く楽しむ

Overcoming Fear Through Economic Incentives

Breaking Down Racial Barriers Through Competition

『プロサッカーの数理データ解析』を最後まで読み終えました

『プロサッカーの数理データ解析』の主要テーマ

『プロサッカーの数理データ解析』の名言

『プロサッカーの数理データ解析』の登場人物

著者について

プロサッカーの数理データ解析の要約をダウンロード

他のユーザーのお気に入り

この本に関するよくある質問

What is Beautiful Game Theory by Ignacio Palacios-Huerta about?

Who should read Beautiful Game Theory?

Is Beautiful Game Theory worth reading?

How does Beautiful Game Theory use soccer to explain Nash equilibrium?

もっと見る

1,000,000+ curious minds.

1,000,000+ curious minds.

1冊の本。さまざまな聴き方。

When Soccer Meets Economics: The Beautiful Game's Hidden Laboratory

Game Theory's Perfect Penalty Kick Laboratory

聴きながら、すべての言葉を目で追えます

Laboratory vs. Real-World Behavior: Bridging the Gap

The Neuroscience of Strategic Decision-Making

『プロサッカーの数理データ解析』をもっと深く楽しむ

Psychological Pressure in Competitive Settings

Market Efficiency in Betting Markets

聴きながら、すべての言葉を目で追えます

Social Pressure and Referee Bias

When Stronger Incentives Backfire

『プロサッカーの数理データ解析』をもっと深く楽しむ

Overcoming Fear Through Economic Incentives

Breaking Down Racial Barriers Through Competition

『プロサッカーの数理データ解析』を最後まで読み終えました

他のユーザーのお気に入り

もっと見る

『プロサッカーの数理データ解析』の概要