We can increase fan excitement and reduce tanking at the same time. Here is how.
Read moreHow to Scrape The MLB API With Node!
Have you ever wanted to scrape MLB data on your own, but didn’t know where to start? Do you want to grab the data you want, name it and format it how you like, and export it in whatever format you want? Well, here is a tutorial to help you along down that journey.
Read moreNew Batted Ball Classes
I have been working on a 3D batted ball classification system. That is, classifying batted balls based upon their exit velocity, vertical angle, and horizontal angle. I have identified a few patterns, and I am pretty excited with the advances I have made over the past week. However, I realized this project could take many weeks or months to complete and I wanted to push an update sooner than that. So, I have put the 2D solution onto xStats and pushed the update to the stats spreadsheet. This 2D solution is not groundbreaking work in terms of Statcast research, but it is a significant improvement over the classification system that was previously published on xStats.
Read moreIntroducing xStats version 2.9
xStats version 2.9 launched on opening day. Here are a look at some of its features.
Read moreThe New Player Search Tool.
Keeping data on multiple spreadsheets isn't ideal, and while moving it all onto a webpage would be ideal it unfortunately isn't something that can happen right now. In the mean time, I want to make these spreadsheets a little easier to use. This new Player Search tool is a good first step. Let me show you its features.
Read moreLeaderboards For The Six Batted Ball Types
You may be curious about the real world stats for individual batters in each of these batted ball categories (DB, GB, LD, HD, FB, and PU). Included are 12 charts, two for each batted ball type, which display the top 30 batters ranked by total Balls In Play and wOBA.
Read moreProjecting Lucroy's Rest of Season Stats.
In the past few weeks I have been working on putting together code to project "what if" scenarios using xStats. The first results of which you can find in Eno Saris' articles about Justin Bour and dejuicing the baseball. These both made use of the "what if the ball hadn't changed between 2015 and 2017?" what-if scenario. Which is interesting to talk about, but it isn't the only question I have to ask.
Read moreA New Stat! bbFIP
A few weeks ago I began dabbling with a stat that combined extremely well hit balls and walks plus extremely poorly hit balls and strike outs. In other words, automatic successful at bats versus automatic failed at bats. The aim here is to blend the line between Defense Independent Pitching, which largely ignores BABIP, and the newer, more nuanced approach towards judging batted ball quality.
Read moreHow SunTrust Park May Impact Freddie Freeman
Yesterday The Hardball Times published my article about estimating the home run rate of SunTrust Park. You can read that article here. Today I will publish a snippet regarding Freddie Freeman which was left on the editing room floor.
You may be interested in reading another piece I wrote about Freeman on Rotographs, which sought to address a similar concern, albeit prior to finalizing the data for SunTrust Park. I recommend reading both of these articles prior to reading this one.
Read morexStats and Fantasy Uses for Statcast
This is the most up to date article about xStats. It describes the current methodology and the descriptive and predictive qualities of the stats. It also delves into a quick and dirty method for adjusting the stats using a histogram of their exit velocities.
This article was featured on the Hardball Times on March 9th, 2017, and it is even John Sickels Approved. I consider it a must read for anyone even tangentially interested in xStats or Statcast in general.
Player Deep Dives
Over the past few weeks I have written a number of articles covering a number of players I feel are misrepresented by xStats, and other projection systems, due to either small sample size issues or sudden and drastic changes in circumstance.
First Published 1/26/17
First Published 1/12/17
First Published 2/23/17
First Published 2/23/17
Introducing xFantasy Parts I, II, III, and IV.
xFantasy is a system based on xStats that integrates hitters' xAVG, xOBP, and xISO in order to predict expected fantasy production (HR, R, RBI, SB, AVG). The underlying models are put together into an embedded "Triple Slash Converter" in Part 2. Part 3 compares the predictive value of xFantasy (and therefore xStats) vs. Steamer and historic stats, ultimately finding that for players under 26, xStats are indeed more predictive than Steamer.
First Published 12/22/16 Written by Ryan Brock
First Published 12/23/16 Written by Ryan Brock
First Published 1/21/17 Written by Ryan Brock
First Published 2/24/17 Written by Ryan Brock