Good (Statistical) Baseball Research Topics?

[Ski]

I am currently in two math courses that will require a final project (Mathematical Modeling and Prob. and Stats II), and I was just curious what some good topics to explore would be. I only have light knowledge of sabermetrics and such, so I'm not sure what has been analyzed to death. One thing that has crossed my mind would be to see if pitchers can demonstrate the ability to have a "shut down inning" right after their team ties or takes the lead. I know this would fall under clutch, but I still think it would be fun to look at this particular situation. Of course, any ideas would be appreciated.

[Northside Blues]

What topics have you covered in your mathematical modeling and probability course? Interpolation, numerical solutions to systems of equations, estimating eigenvalues, etc? If so, I have a pretty easy topic.

 

For the statistics course what did you cover? If you're going to do the topic you want to do you're going to need to use play by play data, not sure how much programming and scripting you know in order to compile the data. For that course you probably haven't covered anything robust enough to reinvent the sabermetric wheel. Just do something that's been done before like comparing career averages to playoffs. Nothing fancy.

[Ski]

What topics have you covered in your mathematical modeling and probability course? Interpolation, numerical solutions to systems of equations, estimating eigenvalues, etc? If so, I have a pretty easy topic.

 

For the statistics course what did you cover? If you're going to do the topic you want to do you're going to need to use play by play data, not sure how much programming and scripting you know in order to compile the data. For that course you probably haven't covered anything robust enough to reinvent the sabermetric wheel. Just do something that's been done before like comparing career averages to playoffs. Nothing fancy.

Well, the semester has just started, so haven't really covered anything new yet. In Stats (last semester), we learned about certain probability distribution, including normal of course, normalizing data, and we did an activity on how to find the best distribution for a model (these are just a few of the things we did, of course). I suppose I'll learn more of what I'm capable of later in the semester, but I want to get thinking about it now.

[Northside Blues]

What does the syllabus cover?

[seanimal]

ugh take it to the library nerds

[Ryne Ween]

One time at the airport I found a notebook jam packed with with foul ball observations all modelled onto a deformed lapacian curve. Innumerable pages of bayesian inference then demonstrated that a faoul ball's location of rest predicted the exact trajectory of the next batted ball. I lost the pad though.

[ConstableRabbit]

One time at the airport I found a notebook jam packed with with foul ball observations all modelled onto a deformed lapacian curve. Innumerable pages of bayesian inference then demonstrated that a faoul ball's location of rest predicted the exact trajectory of the next batted ball. I lost the pad though.

I laughed a little too hard at this haha.

[Ryne Ween]

I just want fuld's career to end so he can get back to this.