An Early Look at the Price of a Win This Off-Season
Over the last few years, we have analyzed nearly every notable contract signed in Major League Baseball, and one of the tools that we have used regularly is a pricing model that we often refer to as $/WAR. Basically, this calculation takes a look at the expected production from a player during the life of the contract that he just signed, then also the total cost of the contract over the length of the deal, and divides the production by the price. This calculation attempts to estimate the price paid for the expected production, and gives us an idea of what teams are paying for projected wins in baseball’s closest thing to a free market.
To be clear, FanGraphs didn’t invent this calculation, and this isn’t an idea specific to us. Doug Pappas was doing similar calculations a decade ago using a method he called Marginal Payroll and Marginal Wins. Nate Silver also wrote about the marginal value of a win during his time at Baseball Prospectus, and Tom Tango has been calculating $/WAR for contracts for years on his blog. Over the last few years, plenty of others have written about the price of a win in MLB, and there are multiple methods to perform this kind of calculation.