Originally Posted by J H:
Stats- I think success can certainly be defined differently in the context of a situation. The scenario I mentioned with jacjacatk was the discussion we had about the correlation between K% and team wins. The ultimate measure of success, I think everyone would agree, is team wins. But when analyzing specific individual performances within the context of the variables involved, the definition changes.
OK, now I understand. For many years I’ve tried to find things that could be related to wins. Part of that was to see if I could find that certain mystical “thing” that should be concentrated on, but there was also my trying to take something someone else claimed to be that “thing” and see how it stood up to the test. I’ve done it several ways, but the attachment shows the most popular ones with the “common” folks sitting in the bleachers of HS games.
http://www.infosports.com/scor...images/freebies8.pdf
Of the 5 I still have turned on, OPS with a WPct of .852 seems to be the most consistent significant factor, with free passes at .713, First Pitch Strikes at .651, Strike Percentage at .693, and Ks at .841 coming in at varying distances behind. Granted this is only 212 games, and HS games at that, but it is a sample and the numbers are as valid as I can make them. It should also be mentioned that those percentages do change from season to season. If someone out there has the data to do something similar, I’d sure like to see it.
FIP is quite easy to calculate, and the "league average" multiplier technically only serves the purpose of making the number easier to analyze because it's neutralized to mimic ERA. I realize you'd have difficulty finding that variable, but perhaps it could be tinkered with enough that you can find consistency. At the big league level, FIP is a more accurate predictive measure than ERA.
I’m sure it is, but that “average” is the number that allows the comparisons to be valid. If it could be calculated at the HS level, al lot of the hollering about disparity of completion would go away, but certainly not all of it. FI, our league is made up of 6 large school teams(DI). But just like not all AL or NL teams are equal, not all DI teams are equal. The difference is, the “outlier” ML player isn’t a whole lot better or worse relative to the rest of the players, than the “outlier” player in our league is. But, with a valid “league average”, it really wouldn’t matter.
The problem is, only 15 of 28 games are league games. The other games depend entirely on the HC’s ability to schedule the best competition available. Our HC happens to have the ability to make our non-league schedule much superior to our league schedule. Here’s how our opponents looked last season. The W/L is based on their 2012 records.
******************W/L************Games*******WPct
Non-Conference**367-179***********18***********.672
Conference*******66-62************15***********.515
Overall*********473-241***********32***********.662
As you can easily see, our guys got to play some pretty dawgone good competition, but I can guarantee not all of the teams in our league can say the same. Because of that, the non-league games can’t really be used to evaluate much, exactly for the reason many people don’t think HS stats are whether the powder to blow them to Hell in the 1st place. When one of our guys bats .375 its been against some pretty good pitching, and when our pitchers have an ERA of 1.00, the same thing can be said. So even in our league its generally impossible to use stats in any meaningful way to judge the players for play at the next level. However, using the numbers to compare players on the team is quite a different matter.
I'd urge you to re-read my explanation for "pitching to contact." It's quite the contrary to what you're alluding to.
Before we get off on all kinds of weird tangents, exactly what do you think I’m alluding to? I’m just trying to address any questions you have directly.
I'm also not entirely sure what you mean by assuming I mean winning the game.
I made that assumptions because I didn’t see any other measurement of performance relative to success.
The study I did involved analyzing how to optimize a major league pitching rotation, and I found that relievers pitched overwhelmingly better than starters, and got hurt less, over the time period of 1992-2012. I wasn't aiming to isolate any subset of pitchers, but highlight the optimization in general. Mitchel Lichtman has since expanded upon my theory, isolating specific pitchers according to what role would fit them using a retrospective analysis on how a pitcher with a similar arsenal (according to PITCH F/x data, I presume, although I don't believe he ever defined that) performs.
I’m sure you’ve been asked this question before, but please indulge me. How did you factor in that starters threw so many more pitches than relievers. I’ve never seen or heard of a study on pitching injuries that ignored the gross number of pitches and rest. I’d think the man-in-the-street who knows nothing about the game would say a player who threw 300 pitches in a season would be more at risk for an injury than one who threw less than half that number.
But beside that, you snuck in another one of those descriptions of performance without saying what it meant. What does “pitching overwhelmingly better” mean?
I'll definitely stick around here and contribute where I can. I obviously will not be able to share any information from within the organization, but being a full-time scout doesn't completely make me a mime when I put the radar gun down.
The reason I asked, is I’ve known several scouts who at one time participated in forums like this one but generally stopped. The reasons weren’t that they didn’t want to participate, but there’s only so many hours in the day to devote to such things, and from what I’m told there are venues that allow exchanging of information and ideas at the professional level that prove to be much more productive for them than dealing with crazy amateurs like myself. Personally, I’ve always enjoyed reading your posts, so I really do hope you can stick around.