Archive for Hitters

Finally, it’s time for me to start looking toward the 2016 season with list after list after list. You love lists, right? Of course you do! We’ll start preview season with a look at one of my favorite metrics – hitter average fly ball and home run distance, or simply hitter batted ball distance. A long three years ago, Chad Young and I embarked on a quest to predict HR/FB rate and found that a hitter’s batted ball distance available at Baseball Heat Maps is highly correlated with HR/FB rate. No duh. The further a batter hits the ball on average, the more home runs, shocking!

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Looking over some recent real and mock fantasy drafts, one name which is coming up as a potential sleeper is Jose Reyes. His fantasy value is unknown with his projected value being quite a bit different than the position he is being taken in fantasy drafts. Dan Swartz had him ranked 34th using Steamer projections while he was actually going 151st in NFBC drafts. The reason for the huge difference comes down to his pending criminal charges for domestic abuse. While the legal, ramifications may take a while to go to court, MLB has enacted a new domestic violence policy which has yet to be tested. I can see why people are reluctant to draft Reyes. Well, here is an attempt to put a reasonable fantasy value on him for 2016.

Estimating games missed

To get the expected games suspended, I went with two methods to find the answer, asking the crowd and asking the expert. Both sources generally agree with the time missed.

For the crowd, I asked my Twitter followers how much time they expected Reyes to be suspended. Most people put the value between 25 and 50 games with an average value near 35 games.

Then I moved on to FanGraphs legal expert Nathaniel Grow. When I asked him how he expected the situation to play out, here is his response.

While Reyes’ status remains uncertain, a suspension somewhere in the 25-50 game range would probably be a reasonable, conservative estimate of the punishment he is likely to face from the league.

So somewhere between 25 and 50 games, which is around where the crowd put the number. I will take the view of a conservative owner and go with a 50 game suspension to figure out his value. If an owner wants to take a chance, they could assume fewer days missed.

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Phew, we’re almost at the end of my 2015 reviews. Remember when I assured you that I would review all that I predicted, projected, ranked, and said from the 2015 preseason? I wasn’t joking! So today I return to recapping the list of players us RotoGrapher rankers disagreed on the most. This time we check in on the hitters we ranked outside the top 100 that had us baffled. Actual ranks based on Zach Sanders’ top 300. Let’s see who was right…if any of us were.

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Last week, I examined how a decline in pull rate (Pull%) and contact rate (Contact%) may be a precursor to overall decline. The idea was that if the hitter was worse at doing either or both, they could be in for a larger than normal decline. The research was an initial stab at the data and I got some great comments for future areas of stuady on it. With a few tweaks, I was able to take the ideas and refine the research in order to have a better understanding of what can be a good sign of a major decline.

Idea #1 – Use O-contact% instead of Contact%

Reader Brendan stated the following:

It would be interesting to take this concept and run an ANOVA amongst the 4 groups + control for o-zone contact rate AND z-contact rate separately, being that o-zone contact % is the one peripheral that drops off the cliff dramatically for older players. We’d get an idea about the extent to which overall wRC+ is affected by o-zone contact decline. Hardy’s 2014 and 2015 o-zone contact rate was much lower compared to recent years.

So I analyzed the data with various combinations of Contact%, O-Contact% (outside the zone contact rate), and Z-Contact% (inside the zone contact rate). I looked at several different combinations and none were really any better than Contact%. I decided to move forward with just Contact% for the rest of the analysis.

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Admit it, you were a Gregory Polanco owner, held onto him all season long, and were disappointed by his performance. Though you felt he wasn’t a bust per se, it sure felt like he failed to earn his cost, right? If you recall, and I promise not to get upset if you do not, the RotoGraphs five ranked him 46th overall among outfielders in the preseason. Now tell me if it surprises you that he actually finished 32nd in value, earning $14.58. Because that is what happened according to Zach Sanders’ calculator.

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Prepare for an adventure in which we fly over to the FanGraphs leaderboard, choose a minimum of 120 plate appearances, and sort in descending order by ISO. Unless you played in an AL-Only league and were trying to catch the standings leader who owned this very character, you might be shocked who sits ranked second. Obviously, I gave it away in the title of this article. But if you remain stumped, it was 32-year-old Franklin Gutierrez. The man didn’t even play in 2014 due to health reasons and came into 2015 with a career ISO mark of just .135.

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So it didn’t exactly go as planned for Jorge Soler in 2015. Rather than act as an integral part of an exciting young and powerful Cubs offense, Soler fizzled. Rather than make good on his sleeper/breakout/undervalued promise, he finished a pathetic 84th in value among just outfielders. That means he was worthless in 12-team leagues that start five outfielders! I did not see that coming.

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The last of the hitter Steamer and I reviews is upon us, as I recap how my Pod Projection compared to Steamer’s preseason forecast, and how both systems performed against what actually transpired. I was significantly more bullish about A.J. Pollock’s 2015 prospects than Steamer was. In fact, out of all full-time players, the difference between the two Pollock forecasts was the greatest.

Who knew Pollock would go on to finish as the second most valuable outfielder and overall hitter?!

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For our second Pod Projection review of the season, I will recap what was predicted and what actually happened for rookie Yasmany Tomas. Refresh your memory by checking back on my original Pod Projection post.

As a Cuban rookie with no minor league data to work with and limited statistics to analyze from his work in Cuba, Tomas was a challenge to forecast. Essentially, everyone was really just taking an educated guess and it was more like a 3rd grade education than grad school level.

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It’s outfield week here at RotoGraphs, so I’ll begin the festivities by reviewing my preseason Pod’s Picks at the position. Every year after the RotoGraphs consensus positional rankings are published, I compare my column of ranks to a recalculated consensus after excluding mine. It’s a fun little activity and it allows me to figure out why I might be more bullish or bearish on a particular player than the rest of the crew.

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