In addition to the analysis I conduct using my xHR/FB rate equation, I also still look at ESPN Home Run Tracker after the season ends. As usual, I identified a group of hitters before the 2016 season that based on the Home Run Tracker data, appeared to have serious HR/FB downside. Let’s find out how these hitters performed.
Yesterday, I review the five hitters with major HR/FB rate downside. Today, I’ll recap the list of hitters that would have been more actionable and beneficial for fantasy owners — the eight guys with serious HR/FB upside. As usual, I used my xHR/FB rate equation to settle on these names. Let’s find out how they performed.
The 2016 preseason recaps continue and we’re going to move to hitting for the rest of this week. In late January, I used my xHR/FB rate equation (which is likely to get an overhaul this offseason) to identify five hitters with major HR/FB rate downside. Let’s find out how the group performed.
I will continue to help define how to value a prospect for fantasy purposes. Last week, I examined how major league position players’ production lines up with the standard scouting grades. Today, I go the other way and look at how graded prospects perform in the majors.
I believe I am making this study about two years too soon. I would love for there to be more MLB information after the player received his grades and his 4-5 year production. I don’t have that luxury right now. I feel any answer I come up with will be a nice anchoring point but will need to be adjusted later.
To do this study, I took the grades given by Baseball America (2011 to 2014) and MLB.com (2013 to 2014). With each of these players, I looked at those who had 300 plate appearances in their career. With this fairly encompassing group, I would only able to match of 118 seasons. In some of these cases, the same player was compared. For example, both BA and MLB had their own 2013 grades for Xander Boegaerts. Like I said, a person can shoot about 20 different holes in this study, but I am just working with what I have been given so far.
Let’s finish up my preseason starting pitcher strikeout rate articles by looking at those I identified as possessing significant downside, as hinted at by my xK% equation. It’s a very different list than the one generated by the upsiders, as these tend to be the pitchers with high strikeout rates with seemingly the only direction to go moving forward is down.
Joe Camp won his league, probably because he reads us and listens to our podcasts here, I dunno, but that’s my guess, totally not because he’s an Associate Professor of electrical engineering. Anyway, he won his league, and his leaguemates started chirping about a couple trades he made that year that may have appeared lopsided at the time — my personal opinion is that vetoes suck, and are a dampener on league activity, and we should all be active and talking to each other as much as possible, so if you were on it, you would have made that lopsided trade first — and so Mr. Camp set out to prove he would have won the league anyway.
The way he did it? He took the worst team in the league and replaced everyone on the team with the best free agent pickups of the year. He then compared that team with everyone’s originally drafted teams. The free agents easily won — 96 points to 87 for the best drafted team.
Andre Dawson became a free agent after the summer of 1986 and he had just one request, his new home field must have grass. After 10 years of playing on Montreal’s artificial turf, Dawson’s knees were destroyed forcing him to move to from center field to a corner outfield spot. I saw him in the 2012 All-Star celebrity softball game and it was painful to watch him move. No one knows for sure how much production was sapped from Dawson by the turf, but I will try to find out. Today, I am going to look into the past and possibly future on playing on how turf ages a player.
I’d say the easiest category to make up ground in the final week is stolen bases. They could come in bunches and it’s easy to identify the players that contribute in the category. Often times speedsters are sitting on free agency as they contribute little else outside the steals. But heading into the final week of the season, you might not care about the other categories, just getting those three extra steals that will gain you a point or two. So here are five lesser owned named that are likely available and could give you that jolt you may need.
I’m finally back from my two week Slovenia/Croatia jaunt (feel free to discuss the wonders of either of those countries in the comments) and what else does one write about when not totally in the loop? More home run surprises, of course! I continue to be in shock at some of the home run total, so let’s discuss more of them.
Today’s MASH Report is being brought to you by Ryan Butcher and Wade Davis. The pair were given a few days off recently to get themselves back together. Butcher was sent to the minor and Davis to the DL. While both may have needed a break, one interesting note exists about them missing time, both pitchers experienced a drop in their fastball spin rate right before the decision was made
These are the first two times I have seen a major league team admit that a pitcher’s spin was used to decide on how they handle a pitcher. It has been known for a while that changes in spin rate can help detect injuries. Eno Sarris talked to FanGraphs friend, Kyle Boddy about this issue.
From that discovery flowed others. “Spin-rate changes are actually one of the best predictors of injury,” pointed out Boddy, a fact that was confirmed as a known within many parts of the baseball community by multiple sources. At Driveline, pitchers have their spin rates monitored constantly for the earliest signs of unhealthy fatigue.
The problem for the general public, we have not had good access to pitch spin data until StatCast began releasing data last year. Here is a detailed look at the two pitchers whose spin rate change cause their team to act and can we make any conclusion from them.
