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About Stat Geek Baseball

Walter Johnson


FAQ - Questions and Answers

Here we try to answer some of your questions about how PEVA works, why we came up with the stats, and where they fit into the baseball sabermetric universe, or perhaps, whether they fit at all, depending on your point of view.

Q - How does Stat Geek Baseball's Analysis of Historic Statistics & Player Grades differ from some other systems?

A - It is a peer to peer yearly review which compares domination of performance during an era/year versus giving a value to an individual statistic such as a Home Run or Win. This allows for valid comparison over different eras, whether dead ball, live ball, or steroid ball. It also uses the constant of how a specific stat set of a player was paid over the last ten years, then applied to past years.

Q - Why did you choose the categories that you did? There's no Home Run for batting or Strikeout for Pitching?

A - It started out as a subjective exercise. We included two categories for both pitchers and position players that would form the basis for value, which we determined to be use. Thus Games Played, Innings Pitched, and Plate Appearances came into the picture first. After those, we wanted to include a Defensive Category, Dependent (On Team Play) Production Categories such as Wins, Saves, Run Production, and Less Dependent Categories such as On Base Percentage and Earned Run Average. Why not pure Home Runs or Strikeouts? We think that Home Runs and Strikeouts, independent of other categories, (they are used in the Run Production and Strikeouts to Walks Ratio categories) represent less value than other statistics. In the end, it was our goal to create an index that mirrored the way payroll is judged, and through a lot of interpolation, the final six categories for each were determined to have the greatest value to that goal.

Q - Can the PEVA and RAVE values be used in my Fantasy Baseball league?

A - Both the PEVA and RAVE statistics have value for Fantasy baseball players, although the defensive component for Position Players should be accounted for in some scoring systems. For example, a catcher could have a higher value than a first baseman due to his Field Value, but would not score higher if only offensive statistics are used in your fantasy league. The Baseball Evaluation system was developed for historic comparisons tied to payroll value and not with Fantasy Baseball in mind. However, PEVA for the year prior, and RAVE weighted for the three years prior, can provide a good guideline to value as well as durability.

Q - Is there going to be a Baseball Evaluation book?

A - There is now. It's called Stat Geek Baseball, the Best Ever Book, which counts down the best players by season and career in history, plus the Top 20 players by season and career for every franchise in history. And there's a second one, too, called Fields of Gold, Baseball's Best Glove Work, that focuses on the best fielders in the history of the game.



FAQ

Troy Tulowitski


More Q and A

Q - Will there be a list of the best players in baseball history or the best years ever in baseball history, according to total PEVA values, on the website?

A - Yes, there already is, but it is a less comprehensive list than is in the book. Go to our sitemap for an index of our Best Ever Lists for Years and Careers, including the Team by Team Franchise Best Lists for current and past franchises.

Q - When I see Major League Service Time listed (MLST), how can I compare that to the Experience Equivalent Quotient (EXPEQ) developed by the Baseball Evaluation system?

A - While EXPEQ is formatted on a year and percentage basis versus the standard year and days basis, you can get a coordinated comparison by taking the days basis of MLST (for example 1.142) and dividing the 142 days by 172. This would give you a percentage that when added to the year component of 1 gives a direct comparison to EXPEQ. 1.142 MLST compares to 1.826 EXPEQ.

Q - In the pages of the website for PEVA Player Grade values, when a player is ranked ahead of another, but their grades are the same (i.e. at the Maximum SPRO level of 32), does the rank indicate a more valuable player.

A - Yes. More valuable in the sense of their performance level for that year, but not in the value they would receive in salary compensation.

Q - Why is the salary shown in some SPRO (Salary Projections) for some players much lower than current free agent contracts given?

A - Because that's what the should have been paid, according to the systems, based on progressions and service time. The question that's better asked, ... should they have been that high in the first place? We're not trying to get player salaries to be lower. They are what they are and with the new television contracts being signed, they are going to increase even more. But there's a good contract and a bad contract and a lot in between. There are players who are going to approach the dollars you gave them in production and those that you're going to want to get rid of before the end of the first year. Why not make that calculation before giving them out.

For many of the SPRO contracts that seem too low today, just pop back in and look at their valuation two years into the contract. For the vast majority, SPRO will have valued them more correctly. For example, in 2014, Matt Garza just got a four year deal worth $50 million, with additional incentives and a vesting option for a 5th year. Most people from fans and gms think that the Brewers got a bargain. We're not one of them. In fact, we're at half that value in terms of years and per year value. Matt Garza used to be that pitcher in the days of the Ray, but over the past three seasons has trended down in categories of use, i.e. games pitched and innings played, and in the independent categories, i.e. WHIP, HR per 9IP, and SO/W Ratio. He's been okay if you look at Wins and ERA. You can't get away too long and keep value high when the peripherals and use stats start to decline. They're already in decline to the range of a below average pitcher.

More About Our Stats

Babe Ruth


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Note: All Baseball Evaluation Stats were developed by JDP Econ & are the proprietary property of JDP ECON, statgeekbaseball.com, and baseballevaluation.com. All rights reserved. If any of the Baseball Evaluation stats are used in articles, etc., please credit baseballevaluation.com or statgeekbaseball.com.



PEVA Player Ratings Boxscore

Fantastic - 32.000 (MVP, Cy Young Candidate)
Great - 20.000
Very Good - 15.000 (All-Star Caliber)
Good - 10.000
Average - 3.500

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Baseball Stat Books

  • Baseball History
  • Stat Geek Baseball, the Best Ever Book

    Stat Geek Baseball, the Best Ever Book. Some of the most unique info on the Best Ever in baseball you'll get anywhere! The Best Yankee! The Best Red Sox! The Best of Every Team!

  • Fields of Gold, Baseball's Best Glove Work
  • Fields of Gold, Baseball's Best Glove Work

    The newest book in the Stat Geek Baseball universe. Fields of Gold, Baseball's Best Glove Work. It's what the Best Ever Book was for hitting and pitching, but now a detailed look at the Best Fielders in Baseball History, including best position players for every team, and best overall for every position