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Around SBN: The Most Dangerous Division in Sports

Beyond the Highschool Box Score


I coach highschool baseball and have been playing with the idea of how to use SABR principals in my coaching for a while now.  There is no scenario I can imagine in which I can have enough data on individual players to make an assumption, but with enough years of data I think I can lean some valuable information from things, for example RE charts and league BABIP.  Obviously the assumptions upon which we base our MLB analysis don't necessarily hold true, (i.e. bunting is far more useful).  I think my first step is going to be an attempt to build RA and RE charts for the past years of team data.  I would also like to tap this community for its knowledge, have any of you tried something like this before, is it feasible/useful, do you have any advice? I was planning on just using Excel, Is there a program that you guys would recommend?

Thanks, I appreciate any help

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From experience

On the HS, college and professional levels compiling of sabermetric stats doesnt really help you too much in acheiving your main goal, which is teaching the game and winning.

On the scouting and minor league side of things, a lot of times those numbers dont really mean a lot because you need to have correct context for them all, and at that level its more about tools and development, than production.

And in the HS and college games, those numbers dont really help you out that much at all because of the unpredictability of the game at those levels. And then the ability of players also comes into play as well. Having great stats, or even great sabermetric stats might be fun to track for a player,but if they compiled in a league where there is one really good program, a couple of average ones, and the rest arent very good at all, what can that tell you?

I think it could be a fun excercise for you, but in the end you probably arent going to find any sort of discernable advantage through doing it. At the very least maybe you turn your players into smarter fans down the road.

by backtocali on Sep 26, 2011 10:37 AM EDT reply actions  

I played HS baseball up to 3 years ago

and have been studying sabermetrics ever since. This is a very intriguing conversation as I love to coach and have had the same thoughts about applying sabermetric principles to other leagues.

However, (and I cannot believe I am saying this) I do agree with BtC about compiling stats. HS baseball has just too much flux and the skill level between individual teams and players is just too great. You can have a couple of D1 players playing against a couple of college club team bench players, and I don’t think that helps a lot. Regardless of advanced stats, you know that those D1 kids are probably going to do much better a vast majority of the time.

In contrast, I believe there are still many principles you can take away from sabermetrics. I have always wondered how an optimized lineup for my HS team would have fared against the random lineup our coach was throwing out there (or so it seemed). However, 22 games + playoffs (that’s what we play in NJ) is such a small sample size and if looking at MLB data over years (thousands of games) is supposed to give us good data, it will take quite a few years to come to any statistical conclusions.

Bringing in your best reliever in the situation with the highest leverage instead of closing out the 7th inning might be something to look into. Bunting is tough because outs are far less valuable in HS baseball than in the pros, but I’m sure some teams should still bunt less.

Baseball players are smarter than football players. How often do you see a baseball team penalized for too many men on the field? ~Jim Bouton

by LaserVortex888 on Sep 26, 2011 11:21 AM EDT reply actions  

My first thought is setting up a wiki for HS coaches who are into this.

Maybe we’d find something eventually.

Glad I came, just wish I hadn't stayed so long.
Rock Chalk Talk

by Warden11 on Sep 29, 2011 10:44 PM EDT reply actions  

Good thinking!

What I have found useful is in using information compiled to impress upon our players the importance of not swinging at pitches out of the strike zone, and throwing a 1st pitch strike. Over 20+ years of keeping track and with pitching staffs ranging from being full of D1 pitchers to pitchers who can barely break 75 MPH, this one stat is constant. A 1st pitch ball results in a 25% walk rate and a 10% K rate. A 1st pitch strike results in an 8% walk rate and a 20% K rate. .

by adenzeno on Nov 6, 2011 2:22 PM EST reply actions  

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