I pulled this out from the comments because I thought the answers might be helpful to more than one person.. With thanks to Josh Clayton…
Hello Clay. Thank you for your work – I really enjoy the player comps. Why do some of a player’s comps change when the Organizational DT reports are generated every […]
Those of you with long memories may remember that I have my own Hall of Fame rating scale. It is a purely objective system, based only on the player’s season by season WARP ratings – no postseason, no All-Star games, no subjective flash, no drugs, no gambling. It isn’t meant to be perfect, and it […]
in translated statistics.
BA .265, OBA .335, SLG .415, OPS .750
For 650 PA, it comes out to about 579 AB, 153 H, 29 DB, 3 TP, 17 HR, 55 BB, 108 SO, 10 SB, 5 CS, 80 R, 76 RBI, and 74 EQR.
For pitchers, 198 IP, 198 H, 22 HR, […]
To be honest I first set up the 2018 projections a little after Thanksgiving, but never felt like writing up anything about them. At this stage – with pitchers and catchers still having four more weeks of liberty before reporting for duty, and most of the free agents still free – there’s an awful […]
Sorry, folks, for the lack of updates over the last three weeks, but I was actually out of the country on vacation . I hope you’ll forgive me for not announcing in advance, on a public forum, “I’ll be out of my house for the next three weeks!”
I knew some reports would suffer without […]
This is just too far out there not to pass on.
I had seven players in my database with the last name “Pantoja”: Fidel, Jhonny, Thormar,another Jhonny, Jorge, Alexis, and Yorvin, with birthdates ranging from 1950 to 1997.
This morning’s stat update from MLB had the professional debut, for the Athletics in the Dominican Summer […]
I guess you could call these my power rankings. All major league teams, ranked by WARP1, compared to win percentages. By way of comparison, I looked up Fangraphs team WAR while I was working on it.
Team Wins Losses WARP (me) WAR (Fangraphs) Dodgers 39 25 27.8 21.5 Astros 44 20 26.6 21.5 Yankees 37 […]
The Ides of March are come – but not yet gone.
As a round of cuts hits the spring teams, I don’t have cuts – I have adds. I’ve been digging through a slew of other stats, and now have translations up for – get this – 17 leagues not previously listed for 2016.
Similar to the last one, for hitters. I believe I used a 50 IP requirement, with a caveat for anyone projected to get at least 5 saves. There were 229 pitchers in the totals.
Just going to drop everything in at once, starting with 2016’s best. Pecota really killed it on pitchers last year, […]
When it comes to trying to determine who had the most accurate projections, there are a lot of things to consider. And, if you try to consider them all, you won’t have a post – you’ll have a book.
You can use straight statistics, or you can bias-adjust. You can use whole stats. Rate stats. […]
While everything on this site is free, a donation through Paypal to help offset costs would be greatly appreciated. -Clay
- February 2018
- January 2018
- August 2017
- June 2017
- March 2017
- January 2017
- September 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- September 2015
- April 2015
- March 2015
- January 2015
- December 2014
- November 2014
- October 2014
- April 2014
- February 2014
- January 2014
- October 2013
- April 2013
- March 2013
- February 2013
- March 2012
- February 2012
- January 2012
- December 2011
- November 2011
- October 2011
- August 2011
- July 2011
- June 2011
- May 2011