World Model · podcast knowledge graph

Why Soccer Analytics Works Like Volatility Arbitrage Trading

2026-07-16 · 51 min · 11 entities

Asserted relationships

  • → discusses Business concept
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    Feed category: Business
  • → discusses News concept
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  • → discusses Investing concept
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    Feed category: Investing
  • → discusses News Commentary concept
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    Feed category: News Commentary
  • → hosted by Bloomberg company
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    Feed author/publisher: Bloomberg
  • → discusses Business News concept
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    Feed category: Business News

Entities found in this episode

concepts 9

  • mentioned Business concept
    0.50
    evidence rules-v4
    Feed category: Business
  • mentioned Investing concept
    0.50
    evidence rules-v4
    Feed category: Investing
  • mentioned News Commentary concept
    0.50
    evidence rules-v4
    Feed category: News Commentary
  • mentioned Business News concept
    0.50
    evidence rules-v4
    Feed category: Business News
  • discusses Business concept
    0.40
    evidence rules-v4
    Feed category: Business
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Investing concept
    0.40
    evidence rules-v4
    Feed category: Investing
  • discusses News Commentary concept
    0.40
    evidence rules-v4
    Feed category: News Commentary
  • discusses Business News concept
    0.40
    evidence rules-v4
    Feed category: Business News

companys 2

  • mentioned Bloomberg company
    0.70
    evidence rules-v4
    Feed author/publisher: Bloomberg
  • hosted by Bloomberg company
    0.40
    evidence rules-v4
    Feed author/publisher: Bloomberg
Episode description as stored
American sports fans have long been comfortable talking in the language of stats and analytics. Soccer embraced the 'moneyball' revolution later; the sport was once perceived as too complex to model analytically — there were too many players on the pitch, the game's progression was too random and chaotic to reliably predict. That's no longer the case, and soccer watchers are well aware of stats like xG (Expected Goals) and each match is an opportunity for a team to mine data, whether its tracking data, on-ball data, or even analyzing body poses and movement. Today, we speak with two soccer analytics veterans, Mike Treacy (head of risk at Apex Fintech Solutions) and Joris Bekkers (a soccer analytics consultant). Treacy's background includes a stint in analytics for a Premier League team and he's currently advising the MLS team Austin FC while Bekkers has built software that analyzes raw soccer data and he's worked with the US Soccer Federation. We talk to them about how VAR has affected the sport, how data analytics can capture ineffable things like hustle, how European leagues and the MLS differ in their analytics strategy, and why chess and soccer are not so dissimilar. Read more: The Lawyer Taking On StubHub Over World Cup Ticket Sales Polymarket Partners With Crypto Firm During World Cup Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at bloomberg.com/subscriptions/oddlots Subscribe to the Odd Lots Newsletter Join the conversation: discord.gg/oddlots See omnystudio.com/listener for privacy information.