« Archive for the ‘RAS’ Category

Let’s pick on Tom Hicks for a bit.

Alex RodriguezLast week we discussed the bubble that took hold in the player market in the late ‘90s and early ‘00s, and also determined that the current market still has room to grow. While there has been some tremendous work done on predicting player performance, little attention has been spent on forecasting the market. Why is this important? When dealing with long-term contracts, there are two questions a team must answer: how will this player perform, and how much will that level of play cost on the market through the life of the deal?

By 2000, MLB revenues had grown almost 140 percent over the previous decade. When the Rangers handed the keys to their castle to Alex Rodriguez, they likely expected revenues, and in turn player salaries, to keep skyrocketing at a similar rate. […]

We’ve gotten a bunch of feedback on our article Why the Bubble Burst (And Will it Happen Again?), particularly on RAS (revenues allocated to salaries). This is the key number for analyzing and forecasting the market for players. It is the context for which every deal is made.

But here’s the problem: the data is limited, somewhat spotty, and a bit inconsistent depending on the source. We did a lot of cross checking, and used multiple outlets that have freely available data: the Lahman database, Rod Fort’s site, Doug Pappas’s site, the USA Today salary database, Forbes’s annual baseball estimates, and others.

We have full revenue and payroll info going back to 1982, but even these figures could likely be improved. And before 1982, there is a lot of mixing and matching being done, with only a few seasons having any available data at all. The simplistic version of what we have so far can be viewed here:

http://spreadsheets.google.com/pub?key=pIZaUeVpPjYAroeA66JPvMQ

So now we’re turning to you, whether you are an author, blogger, fan, accountant, financial analyst, plumber, waiter, man, woman, child… you get my drift. In the spirit of free data and further research, let’s try to build the best database we can. This doesn’t have to involve just salaries and revenues, it could be total player costs, specific sources of revenue,  or anything else you, the reader, can think of.

Let’s get it done, and maybe we can open up a new line of research that could completely change the way we analyze our game.

With baseball’s revenues growing at a blistering rate, it has become more and more difficult for analysts to accurately dissect big-money, multi-year signings. What we thought we knew just two years ago seems to be obsolete, with the market shifting upwards at breakneck speed.

Yes, we’ve seen this before. Culminating with the infamous winter of ’01, Major League payrolls rose between thirteen to nineteen percent annually for five consecutive years. Overall, teams spent almost four and a half times as much on player salaries in 2001 as they did in 1990.

With Armageddon warnings seemingly plastered on every team’s office walls, sensibility (or perhaps collusion) eventually resurfaced. Payrolls rose only moderately in 2002 and 2003, and actually declined a bit in 2004. The bubble had burst, leaving teams that had signed players to mega-deals in previous years shaking their heads, and/or calling Brian Cashman for a little relief. […]