Archive for Meta Analysis

Last week, I examined hitters who had a known injury they were playing through and then determined how their Stat Cast exit velocity changed. Today, I am moving on from back looking at injuries (reactive) to forward-looking (predictive). Any important conclusions drawn this early in the process should be taken with a grain of salt, but I will trudge along on anyway.

One issue I will continue to run into when looking at this data is the lack of data. Having less than two season’s worth of data is frustrating to work with. Five to six years from now, we will likely be laughing at the work that was done with so little information. Just be skeptical of the information provided as I am trying to be at the tip of the spear so I am likely to get cut a few times.

The more I looked at the data, it seemed a large drop of around 5 mph to 6 mph was indicative of a major injury. The one problem I ran into was players like A.J. Pollock who have both speed and power. Charlie Blackmon and Starling Marte as other similar players. They have wider normal ranges in exit velocity, so instead I went with looking at a half of the standard deviation of the player’s exit velocity to help flag injured players. Most of the time this value is around 5 to 7 mph.

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The following is an experiment. I wanted to see if hitter exit velocity (EV) drops and by how much when a batter players through an injury. I am not sure before starting it where it would head and after a small stab at the data, I seemed to end up with more questions than answers.

The following may sound like a scientific study and in many ways, it is one. I am trying to take a theory and find a solution. Let me start with the theory.

First, injured players perform worse while playing through injury. I have tackled this idea as I looked back at the players’ stats the season before, of, and after the injury.

Talking to several hitters, they say they know when something is bugging them. They just can’t get hit the ball as hard as when they are healthy. Instead of trying to figure out if a player’s slump is from bad luck or injury, we have StatCast’s exit velocity to help us see if they are hitting the ball as hard.

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Pitch Velocity Effects on Groundballs, Exit Velocity, and Swinging Strikes

Last week, I examined Danny Duffy and several other writers have examined at him also. If you want to read up on various theories on my he is performing great and why that may change, go ahead. Instead, today I am going to concentrate on his fastball velocity changes and how the results change as the velocity changes.

Danny Duffy is starting to get some Cy Young consideration after spending part of the season in the bullpen. One cause for the turnaround is his fastball velocity increasing from 93.8 mph to 95 mph. The average velocity was even higher earlier in the season but it has been steadily dropping.

So what difference does it make if he is throwing 96 mph or 94 mph? Today, I am going to lay the groundwork for finding such an answer.

Simply, I looked at three different factors, exit (or batted ball) velocity (EV), groundball rate (GB%), and swinging-strike rate (SwStr%) and how each compared to a 1 mph velocity block. To help smooth out the results, I looked velocities between whole values like 90 mph to 91 mph and labeled them 90.5 mph. Also, I looked at values between 90.5 mph and 91.5 mph and put them in the 90 mph bin. I know there is overlap, but I hoped the higher number of samples would help smooth at the final results, especially with a limited number of samples at both ends of the data range.

To start off, here are Duffy’s average exit velocities for a given range of fastball velocities.

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In last week’s MASH Report, I ran an up-to-date ranking of the of my pitcher injury finding metric, PAIN. The metric is supposed to find pitchers who are displaying traits of possible injuries. Reader, lostatlimbo, wondered:

“I’m also a little disappointed to see no mention of the % of actual injuries from high PAIN scores vs low to validate the data. Plenty of the pitchers with even negative scores have still been injured this season and naturally anything can happen at any time, but is there a significant statistical difference between the upper tiers and lower?“

Besides some initial testing on that season’s pitchers, I haven’t extensively run a recent test on the data. While information has always passed the eye test, it is time to dig a little more.

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Let’s take a look at the players you’re rushing to the free agent pool to add in CBS leagues. These are the guys whose ownership rates have increased most over the last week. Are fantasy owners justified in their enthusiasm or just chasing the hot player du jour soon to fade?

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Yesterday, I discussed the hitters who have most underachieved their xBABIP marks. Today, I follow up on last month’s xBABIP overperformers with an update on the fantasy relevant hitters whose BABIP marks have most exceeded their xBABIP marks.

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I last discussed the xBABIP underperformers about a month ago, so with standings shaking out and only about two months left in the season, it’s time to share one final update. Below are the fantasy relevant hitters whose Alex Chamberlain xBABIP most exceeds their actual BABIP marks. If you’re looking for a trade target, this may be a good list with which to begin your research.

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Last week, Eno reminded us that baseball players are actually human and do feel emotion when traded, especially on a moment’s notice at the trade deadline. Luckily for both Josh Reddick and Rich Hill, they won’t have to travel far to get to their new destinations, as both were traded together to the Dodgers, just five to six hours south of Oakland. Google Maps tells me that the quickest route is via I-5, though the scenic Pacific Coast Highway is another option. Sadly though, they would have to reroute as they approach the area affected by the wildfires near Big Sur. So let’s check the park factors to determine how the change in venue may affect each player’s performance.

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Over the past 7 days, the most added player in Ottoneu is Yulieski Gurriel. Over the past 30 days, the most added player in Ottoneu is Yulieski Gurriel. That’s a lot of Gurriel auctions! Here’s quick glance at the most added players in Ottoneu over a 7 and 30 day split:

This post is not so much about Gurriel, but rather a larger Ottoneu topic. What do you do with free agent top prospects during the season? How do you bid? (In this sense, the term prospect can be broadened to mean any player added to the player pool midseason). If you don’t see Gurriel as a pertinent example, consider the likes of Kyle Lewis, Corey Ray, Nick Senzel, Lazaritos, or any other of the recent draftees or international free agents. While the same premise should hold for any of them, Gurriel is an exaggerated example.

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Yesterday, I discussed the five players with the highest ownership spikes over the last week in CBS Sports leagues. Today, I’ll check in on the players fantasy owners are scrambling to kick to the curb and drop them off their rosters. The most dropped list could be a good place to start if you’re looking to buy low. Let’s see if that’s the case this time or if owners are justified dropping each. Since the top of the list is littered with players on the DL or players demoted to the minors, I will only include those healthy and in the Majors.

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