Archive for Hitters

Additional Fun With Brls/TFB Rate

On Tuesday, I unveiled the latest version of my xHR/FB rate, and introduced a new metric that replaced the Brls/BBE equation component. Technically it’s new, but it’s not unfamiliar, as I simply swapped out the BBE denominator for true fly balls, which is just the fly ball total found here, minus pop-ups (IFFB). Yesterday, I dove deeper into the new Brls/TFB metric, sharing some data on my player population and then listing and discussing some names affected by the switch. Today I will continue on that Brls/TFB course with more fun stuff.

Read the rest of this entry »


Getting to Know Barrels Per True Fly Ball Rate (Brls/True FB)

Since it was first introduced about a year and a half ago and published on the Statcast Leaderboard, Barrels quickly became one of my favorite metrics. Combining exit velocity with launch angle made it the perfect statistic to reference when investigating a hitter’s power potential. Since we like ratios better than counting stats for projection purposes, Barrels per Batted Ball Event (Brls/BBE) was my metric of choice. But as informative as it remains, I discovered that it actually wasn’t the best ratio when it came to forecasting HR/FB rates.

Read the rest of this entry »


Revealed: Statcast Charged Batter xHR/FB Rate, Version 2.0

Nearly three years ago, I unveiled my original xHR/FB rate. Back then, Statcast was in its infancy, and wasn’t installed in all 30 stadiums until the upcoming season. As such, my original equation used metrics that Jeff Zimmerman provided me from scraped Gameday data, I believe. The equation was solid enough, producing a 0.649 adjusted R-squared. Clearly, there was more work to be done, but sadly, the data required to make improvements simply wasn’t available.

Read the rest of this entry »


Spotting Breakouts: Spring Training Batted Ball Data

With fantasy owner always searching for an edge, I may have found one buried deep in spring training stats. While looking for Yonder Alonso’s MLB.com player page, I noticed he had some batted ball data in the form of GO/AO (groundouts/air outs). In Alonso’s case, his GO/AO value had always been greater than 1.1 until last season when it dropped to 0.87. In the regular season, Yonder’s groundball rate plummeted from 44% to 34%. Yonder admitted to making a swing adjustment and that change should be detectable in spring training. By comparing spring batted ball data, fantasy owners can get an idea of those hitters who may be ready for the flyball revolution.

Note: While flyball and line drive rates are available for comparison, I will only use groundball rate (GB%) because it stabilizes quicker, has less stringer bias (tough call between some line drives and flyballs), and is only one set of benchmarks to memorize.

I’m going to have two foci for this article. Part 1 is all math and disclaimers. It’s the process I used to go from GO/AO values to ground ball rates to launch angles. Part 2 contains the results from Part 1 as a simple procedure for finding launch angle breakouts.

Part 1: Math and Disclaimers Read the rest of this entry »


Byron Buxton’s Second Half Surge

I’ll never be confused for a Byron Buxton fanboy. The tremendous hype of being a top-2 prospect for three straight seasons set outsized expectations that few could realistically meet. Buxton fell waaay short, though. He totaled just 138 games in 2015-16 with a paltry .220/.274/.398 line including 12 HR and 12 SB in the 469 PA. He was even worse for the first three months of 2017, hitting .195/.272/.280 through 78 games (263 PA). From there, he started a six-game hitting streak before going on the DL only to return as one of the league’s best players for the final two months. How’d that happen?

Read the rest of this entry »


Help Me Fix My Statcast Charged Batter xHR/FB Rate

Nearly a year ago, I introduced the newest version of my xHR/FB rate, this time using the new Statcast metric, Barrels per Batted Ball Event (Brls/BBE). Along with Brls/BBE, I included two additional components — pulled and opposite field fly ball percentage, which I just lumped together for the second factor in the equation (oh, and also a park factor adjustment).

Read the rest of this entry »


Spin Rate: Batted Balls Missing Component

Quite a bit has been written about batted ball data the past few seasons since the information has become publicly available. Fantasy owners have taken notice and are trying to find that next hitter who is raising his launch angle to be part of the “Flyball Revolution”. One major issue which is not being publicly discussed is the major effects backspin has on the ball. By knowing a hit’s spin rate, some of the anomalies seen between launch angle and exit velocity can be explained. The spin rate is a major batted ball component but is generally an unknown factor.

The importance of batted ball spin comes down to this simple table and explanation by Dr. Alan Nathan in a piece he wrote at the Hardball Times.

Finally, I want to take advantage of the fact that we have an aerodynamic model that accounts for most of the features of the data to investigate how flyball distance depends on the amount of backspin, here for a fixed exit speed of 103 mph and launch angle of 27 degrees. The results are given in the table below. They show that distance increases rapidly as the backspin increases from zero but eventually saturates, with very little gain in distance for spin rates exceeding about 1,500 rpm. The reason for the saturation is partly because air drag increases with increasing spin, essentially canceling the increase in lift.

Same launch angle. Same exit velocity. And the ball travels an additional 64 feet of distance because of backspin. Simply, how is a factor which can add an additional 60+ feet in travel distance not be part of our analysis?

Read the rest of this entry »


10 HR/FB Rate Surgers for 2018

It’s time to unveil the list of 10 fantasy relevant hitters whose 2017 xHR/FB rates most exceeded their actual HR/FB rate marks. I use my Statcast-fueled xHR/FB rate equation to determine which hitters could enjoy a spike in HR/FB rate in 2018. Of course, this all assumes the hitter posts similar marks in the components of the xHR/FB rate metric — Brls/BBE, along with fly ball pull and opposite field percentages. All xHR/FB rates are the park-adjusted versions.

This list isn’t necessarily a sleeper list, unless your leaguemates are expecting a 2018 HR/FB rate like 2017 for the player. Rather, it’s simply a list of hitters with a better than average chance of enjoying an increase in HR/FB rate.

Read the rest of this entry »


Seven Surprising 2017 Brls/BBE Bottom Dwellers

Let’s shift back to the bottom of the Statcast leaderboard and discuss seven names you might be surprised to find down there. The surprise won’t be driven by a bunch of guys who just posted 20% HR/FB rates yet don’t have the barrels to explain such results, but rather one of “whoa, his power really did dry up in 2017, what happened?!”.

In 2017, league average Brls/BBE was 6.4%, while the median mark was 5.3%. The median is much lower because it includes the many hitters who recorded few plate appearances and batted ball events, a group which likely posted lower Brls/BBE marks. After all, more power equals more playing time, all else being equal. The average is weighted and so the 437 batted ball events from Giancarlo Stanton, who posted a 17.4% Brls/BBE is going to pull up that mark, but ends up counting the same as the 16 batted ball events from Brett Eibner, who posted a slightly better 18.8% Brls/BBE.

Read the rest of this entry »


Six 2018 Home Run Sleepers

Let’s continue diving into the Statcast leaderboard, sticking with my favorite metric, Brls/BBE (barrels per batted ball event). While it’s no surprise to find Aaron Judge atop the leaderboard, followed by Joey Gallo, and J.D. Martinez, there are other names that do surprise and provide actionable information. So let’s peruse the top 50 hitters (there are 540 players on the list, including pitchers, as the board simply includes everyone with at least 30 batted ball events) sorted by Brls/BBE and discuss six legit sleepers for home runs in 2018.

Read the rest of this entry »