Updated eK% with FIP, xFIP, wOBA, K%, tRA* for 2009

by Andy Hellicksonstine on Dec 23, 2009 4:53 PM EST

I've created a spreadsheet that ties together some of the more powerful pitcher evaluation metrics out there. Many thanks to FreeZo for the challenge and assistance, Matthan for the groundbreaking work on eK%, Stat-Corner, Fangraphs, & Baseball-Reference for the data. You can find a google.doc HERE. You can download the .xls MLB Pitcher Metrics at that link. If you want to do your own sorts or calculations it can be very beneficial to just download the .xls instead of trying to extract from googledocs. Here is a peek at what the workbook entails:

Pitcher

Team

eK%

FIP

xFIP

tRA*

wOBA

Garza	TBA	20.4%	4.17	4.21	22.0%	4.87	0.316
Kazmir	TBA	20.2%	4.26	4.88	18.1%	5.51	0.340
Niemann	TBA	16.9%	4.07	4.53	16.3%	4.98	0.329
Price	TBA	19.5%	4.59	4.49	18.3%	5.27	0.320
Shields	TBA	18.1%	4.02	3.92	18.0%	4.68	0.336

Now that we've seen the Rays, how did the rest of the AL East do?

Pitcher

Team

eK%

FIP

xFIP

tRA*

wOBA

Bergesen	BAL	13.9%	4.10	4.42	12.5%	4.66	0.319
Berken	BAL	13.1%	5.31	5.1	11.8%	5.95	0.398
Guthrie	BAL	13.7%	5.31	5.22	12.6%	5.39	0.360

Beckett	BOS	22.1%	3.63	3.35	22.5%	4.26	0.307
Lester	BOS	25.1%	3.15	3.13	26.7%	3.82	0.299
Penny	BOS	16.8%	4.46	4.56	14.5%	5.20	0.347
Wakefield	BOS	14.6%	4.58	5.5	12.6%	5.35	0.342

Burnett	NYA	21.4%	4.33	4.29	21.8%	4.96	0.331
Chamberlain	NYA	19.5%	4.82	4.56	18.8%	5.12	0.358
Pettitte	NYA	19.6%	4.15	4.38	17.7%	4.98	0.329
Sabathia	NYA	22.3%	3.39	3.82	21.0%	4.24	0.291

Halladay	TOR	20.6%	3.06	3.05	21.6%	3.84	0.297
Richmond	TOR	20.4%	5.22	4.55	19.2%	5.50	0.359
Romero	TOR	19.8%	4.33	4.09	18.3%	4.84	0.354
Tallet	TOR	17.3%	4.68	4.93	16.7%	5.56	0.347

As you flip through, keep in mind that these numbers are neither league nor park adjusted. Also, this only includes all pitchers with a minimum of 300 xOuts. This is going to skew the data in the favor of the NL pitchers in many cases as they get to face Dioner Navarro 3 times a game. If anyone has any recommendations on this workbook, please let me know in the comments.

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Comments

Scott Richmond looks too good when he is tied for Garza

My Home

by RZ on Dec 23, 2009 6:29 PM EST reply actions

He can't touch him in any other metric sooooooooooo

yeah

I'm a writer.

by Andy Hellicksonstine on Dec 24, 2009 12:45 AM EST up reply actions

Good stuff. Where do you get wOBA against at?

by Scottwood on Dec 27, 2009 12:16 PM EST reply actions

I calculate them by hand

It does not include ROE, but if you download the .xls it includes the formulas and what you need so that you can just plug and play on your favorite pitchers.

I'm a writer.

by Andy Hellicksonstine on Dec 31, 2009 4:25 PM EST up reply actions

I apologize, I did include ROE

Everything is on the B-Ref tab. ROE stats can be found on the pitching page and wOBA for each starter.

I'm a writer.

by Andy Hellicksonstine on Dec 31, 2009 4:27 PM EST up reply actions

Looks good

I’m going to refine eK% or at least look into other methods to see if it can be improved. I also really want to dive into eBB%.

I wonder the impact of plugging in those BB and K numbers into the FIP formula (or xFIP).

Can we get robots for umpires and a computer to make in game strategy decisions? I'm sick of inconsistently bad umpiring and Joe's pitiful in game management. Oh and Navi (and BJ) need some PED's. BenZo, Bartlett, and Pena do not.

by matthan on Dec 31, 2009 7:02 PM EST reply actions