FanGraphs Baseball

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  1. What are the chief differences between ERA+ and ERA- or are they essentially the same thing?

    Comment by Azim Damani — March 31, 2011 @ 12:01 pm

  2. Nice work! Any chance of us seeing tERA-?

    Comment by Russ — March 31, 2011 @ 12:03 pm

  3. Noodles Hahn!

    http://www.fangraphs.com/statss.aspx?playerid=1005205&position=P

    Comment by Carson Cistulli — March 31, 2011 @ 12:04 pm

  4. It’s going to take a little time to realize that a ERA- of 90 is good not mediocre. But it’s a good idea.

    Comment by Ryan — March 31, 2011 @ 12:05 pm

  5. Fangraphs just gets better and better. How much do we pay for this S, again?

    Comment by zkolodin — March 31, 2011 @ 12:31 pm

  6. Show your appreciation by contributing to Community Research! Make this site even better.

    Comment by Neil — March 31, 2011 @ 12:35 pm

  7. Can we expect these stats to be added to the historical leaderboards? That would be awesome!

    Comment by Bas — March 31, 2011 @ 12:55 pm

  8. Rock on, guys!

    Comment by VivaAyala — March 31, 2011 @ 1:45 pm

  9. ERA+ is league divided by player.

    ERA- is player divided by league.

    EXCEPT for ERA+, every single indexed metric is always player divided by league.

    To read more about the problems with ERA+, go here:
    http://tangotiger.net/wiki/index.php?title=ERA%2B

    Comment by tangotiger — March 31, 2011 @ 4:09 pm

  10. Neat. Thanks!

    Comment by P — March 31, 2011 @ 4:20 pm

  11. Always made sense to me to do it this way-you can now see what % of league average (adjusted, natch) runs that the pitcher allows.

    Comment by John DiFool — March 31, 2011 @ 4:31 pm

  12. Great, thanks!

    Comment by Azim — March 31, 2011 @ 6:24 pm

  13. Question – Why is the default sort order for the batters leaderboards worst to first? Like if you go to the leaderboards and click on the wOBA stat Cesat Izturis is at the top of the list. Seems backwards, should sort the other way!

    Comment by Nick — March 31, 2011 @ 6:43 pm

  14. On the topic of changing presented statistical data –

    What about using K% and B% instead of per 9 inning rates?

    Just thought I’d mention it, possibly the only small improvement I could suggest to improve this sites amazing player data section.

    Comment by jack — March 31, 2011 @ 9:18 pm

  15. It’s not “worst to first”, it’s “least to most.” So for most hitting statistics, it sorts worst to best, but most pitching stats are sorted best to worst.

    Comment by Bryz — March 31, 2011 @ 9:31 pm

  16. So what does that accomplish? It’s a minor thing obviously, but I think it would be a slight improvement if Fangraphs reversed that for hitting stats. I don’t think people look up the players with the least HR, or least SB, or lowest wOBA or wRC+, etc. very often.

    Comment by Nick — March 31, 2011 @ 10:19 pm

  17. What I would love to see on the stat pages is Quality Starts, High-Quality Starts (defined as 7+ IP allowing = IP).

    Comment by Wraithpk — March 31, 2011 @ 11:07 pm

  18. I second this, and I know Dave Cameron has said he prefers it in the past. Percentages simply make more sense, and inning rates can lead to false conclusions. A less efficient pitcher like Erik Bedard seems nearly as effective as Cliff Lee if you just look at k/9.

    Comment by Cheese Whiz — April 1, 2011 @ 12:28 am

  19. If you click the header a second time, it’ll sort descending. It toggles.

    I’ve asked for this before — basically what they need to do is track the “preferred” sort order for each stat, and use that when the appropriate header is clicked (and then continue with the toggling if it is clicked again after that).

    Comment by joser — April 1, 2011 @ 4:25 am

  20. Any time you use “Per Inning”, you no longer have a stat that is defense independant. FanGraphs doesn’t seem to realize this.

    Comment by RC — April 1, 2011 @ 10:23 am

  21. How do you adjust for park factors on ERA-, FIP-, and xFIP-? Do you adjust for each individual game they play in each individual stadium? Or is it a blanket adjustment assuming 50% of games are played at home and 50% are on the road, which, sticking to assumptions, would hover around average park factors. I’m hoping the former.

    Comment by William — July 11, 2014 @ 3:42 pm

  22. That was nice of them to answer your very good question.

    Comment by marketcapper — July 20, 2014 @ 4:49 pm

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