Gwyn, these are really interesting numbers; thanks very much for putting them together! You'll also have to teach me that chart trick at some point as well.

Some of our readers may not be as familiar with the more advanced hitting stats (ERP, RC, ISOP). Would you be able to post a short glossary of some of these statistics, or maybe link to pages that contain definitions? Thanks again!

Wow, cool numbers.

Hudson's performance stands out like a sore thumb, doesn't it?
Catalanotto may wind up getting to use his infielder's glove after
all - if the O-Dog doesn't get it together soon, it'll be Werth
to right, Cat to second, and Hudson to Syracuse.

Apologies for the cramped formatting - I just spent a lot of time typing text into a text box that didn't support word wrapping. Argh, argh, argh.

By the way, the Yankees have apparently out-homered their opponents 35 to 4 so far. Yow.

But the Yankees are now starting a long stretch vs. the AL West, which should bring their statistical accomplishments back down from the stratosphere to Mt. Everest.

Would you be able to post a short glossary of some of these statistics

Jordan, absolutely, I should have thought of that.

EQA: is a hitting statistic used by Baseball Prospectus. It is a relatively complicated formula as it factors in home park, leage offense and pitching. In EqA, .260 is always average,

ERP:Estimated Runs Produced: invented by Paul Johnson, is a more accurate version of Bill James' Runs Created, but is more accurate for players with high OBNP and high SLG:
(2*(Total Bases+Walks+Hit By Pitch)+Hits+Stolen Bases-(.605*(At bats+Caught Stealing+GIDP-hits)))*.16


Runs Created: is a Bill James statistic to estimate the amount of runs created by a player. Runs Created has a lot of versions but they all derive from the most basic,which is:
(hits+walks)*(total bases)/(at bats + walks)

RC27: is the estimation of how many runs a lineup of 9 of the same player would score per game (27 outs).
RC27= (Runs Created)/(At bats-hits+caught stealing+sacrifice hits+sacrifice flies+GIDP)*27

ERA+ - the ratio of the league's ERA to that of the pitcher (adjusted for ballparks). > 100 is above average and < 100 is below average.
League ERA / ERA

League ERA is around 4.50 through the first twenty games.

Very interesting. From these numbers Linton doesn't look too bad, certainly a lot better than a certain LHP who we all love here. It's all a small sample size though. It'll be interesting to see how the number stack up later in the year.

I'm not sure whether to credit Carlos Tosca for using underrated journeyman Dave Berg perfectly, or blame the skipper for not getting his best RH hitter enough AB.

The table is excellent, Gwyn. Can you explain to the HTML-challenged among us how to perform such magic? Is there a way to easily convert data from an Excel spreadsheet to this format?

http://economics.about.com
Syracuse and Rochester play 4 games in two days on Thursday/Friday. It could be that they needed Linton for the series. Hopefully I'll go to the Friday doubleheader. If I do, I'll provide details of what happened.

Cheers,

MP

http://economics.about.com
Oh.. I forgot to mention.. Linton is pitching one of the Thursday games. I believe Josh Towers is starting the first one, and Linton the second one.

MP