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  1. And now, ladies and gentlemen... It's T-BOW TIME!
  2. Yep. Easy to do when you have MS Excel. Taking the team totals from the last 50 seasons (1956-2005), I simply ran the CORREL function, comparing the team-by-team statistics with each team's winning percentage. EDIT: Inbox me if you want a copy.
  3. The Lahman's Datbase, of course. The definition of outs I use is: AB - H + SH + SF + CS + GIDP. That's slightly different than the AB+HB+BB+SF denominator of OBP. So, outs per plate appearance is actually: AB ? H + SH + SF + CS + GIDP ---------------------------- AB + SH + SF + HB + BB
  4. Actually, I did show that strikeouts have a greater correlation to winning than your average, run-of-the-mill "out" - most of which involve putting the ball in play. Balls In Play Outs (AB minus hits, plus SH and SF and GIDP, minus SO) are actually neutral in correlation to winning percentage (.007 from 1956 onward). Strikeouts have a negative correlation of -.103 with winning percentage, which, even though it's not a huge correlation, it's a lot more significant than GIDP or triples. A better measure of success is the number of plate appearances per out: PAO correlates at a very high +.495. with winning (since 1956), better than OBP (+.485) and only behind Batting Runs (+.676).
  5. From a statistical standpoint: GIDP's have a lower correlation with winning percentage, at least over the last half-century, than strikeouts. GIDP's correlation with winning percentage, on a team-by-team basis between 1956 and 2005, of -.039. Strikeouts by batters have a correlation of -.103. All outs by batters (at bats less hits, plus sacrifices, caught stealing and GIDP's) have a -.046 correlation. For the statistically challenged: correlation is a really fancy measure of how well two groups of similar statistics (like, for example, runs and wins) "match up" with each other. This measure, called a "correlation coefficient", is a number between 1 and -1. The closer the number is to either 1 or -1, the higher the correlation between the two sets of data. The closer the number is to zero, the less correlated the two sets of data are. For example, doubles have a higher correlation to winning percentage (.187) than triples (.073) over the last 50 years. On-Base percentage has the best correlation with winning percentage during that time frame (.485). Back to the discussion: a groundout is only about half as bad as a strikeout when you view it in terms of the ultimate goal - winning. That should be intuitive, as has been pointed out earlier - more things can happen if you put the ball in play, as opposed to not doing so.
  6. Aw, mom, do we have to? http://forum.brewerfan.net/images/smilies/wink.gif
  7. April 3, 2006 cannot come soon enough.
  8. If Daron had a dollar for every time he said "The Brewers come up empty" this year, he'd be retired to the Bahamas by now.
  9. Inside and low, and Jenkins sits again... sigh.
  10. Runners on 1st and 2nd, Jenkins up.
  11. Get on base, get the runners over, get the runners home, repeat as necessary. It's all you need to do, gentlemen.
  12. Show of hands: how many of us think we'll actually come back to win this game? Anyone? Anyone? Bueller? Thought so.
  13. Sweep 'em and get ourselves done with this PNC curse.
  14. 1. Get a hit. 2. Get runners into scoring position. 3. Get runners around to score. 4. Repeat until you have more runs than the other team.
  15. Can we get this guy out, please, and start scoring some runs?
  16. Brewer fan pessimism is setting in again, I see... http://forum.brewerfan.net/images/smilies/indifferent.gif
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