Why Soccer Analytics Works Like Volatility Arbitrage Trading | Odd Lots
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 ana…