Archive for Projections

Reviewing Steamer and I: James Shields

Finally, it’s the last recap of my projections from the 2015 season! The Pod Projections are derived using the methodology outlined in my just released eBook Projecting X 2.0: How to Forecast Baseball Player Performance. As usual, Steamer and I is a comparison of my projection to Steamer’s. Steamer was significantly more bullish on James Shields, who moved to the National League and joined the Padres, both of which should have boosted his fantasy value. It didn’t of course, as his ERA and WHIP both jumped, despite a career high strikeout rate.

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Reviewing 2015 Pod Projections: Justin Verlander

At last, we have reached our final 2015 Pod Projection review! All pitcher projections were based on the methodology laid out in my just released eBook, Projecting X 2.0. Yes, it’s the follow up to the original Projecting X, and is chock full of new research, new metrics, new ideas, and new methods for projecting baseball player performance.

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Part 2 of Using Contact% & Pull% to Predict a Batter’s Decline

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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Reviewing 2015 Pod Projections: Jacob deGrom

It’s time for another Pod Projection review and today it’s new top 10 starter Jacob deGrom. After a dominating performance during his 2014 rookie campaign that essentially came out of nowhere, we all wondered how much regression he would experience in 2015. Instead, he laughed at the notion of regression and took his performance to further heights, earning more than $24 and finishing as the ninth most valuable starter. Refresh your memory by reviewing my initial Pod Projection post.

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Using Contact and Pull Rate to Predict a Batter’s Decline

My fellow RotoGraphs writers and I have been working through our 2016 player evaluations. I was tasked with the declining J.J. Hardy. I noticed that two of his core hitting traits, the ability to make contact and pull the ball, had degraded from 2013 to 2014. While Hardy saw an overall decline in his skills when these two skills declined, I wanted to see it was common among other players. I was able to find that decline in these two areas is a sign of a player on a fast decline.

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2016 Fantasy Baseball Rankings (w/ Steamer Proj’s)

It’s Holiday time. Here is my Holiday present to you: 2016 Fantasy Baseball Rankings and $ Values using Steamer Projections and NFBC’s Format: (2)c,1b,2b,3b,ss,ci,mi,(5)of,u,(9)p and (17)bench spots.

For review, I’ll discuss the approach after the rankings, but you can check out Zach’s FVARz series of posts as well. Zach and I do a few things differently, but I use this template over others, such as SGP because I like how hands-on it allows you to be when ranking your projections. It allows for both pragmatism (drafting a certain number of players within a specific position for your league format) and objectivity (focusing on the Z-Sum/5×5 value of each player). I will describe below:

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Reviewing Steamer and I: Zack Greinke

Today I continue reviewing my preseason posts and this time I will bravely recap how my Pod Projection fared against the Steamer projection for Zack Greinke. As we are all well aware, Greinke just so happened to lead all Major League starters in ERA, en route to a second place finish in the Cy Young voting. Sadly, Greinke wiggled his way into a Steamer and I post because Steamer was significantly more optimistic about his performance than Pod was. I guess we know how this is going to go…

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Reviewing 2015 Pod Projections: Carlos Carrasco

We finally move along to our first starting pitcher Pod Projection recap of the offseason. I will start with final 10 starts of the 2014 season breakout Carlos Carrasco, who finally made good on all the hype I sounded on him. Refresh your memory of my original projection post.

Naturally after those scintillating set of starts to end the season, Carrasco shot up preseason ranking lists heading into 2015. And he didn’t disappoint, finishing 15th among starters in value, earning about $16.

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Valuing Yu Darvish and Other Injured Pitchers

Valuing injured pitchers who plan on returning at a later date can be tough to do correctly. Yu Darvish an example of such a pitcher. After having Tommy John surgery in mid-March this past season, Darvish should return some point after mid-May (14-month rehab is the norm now). An owner can expect above replacement level from Darvish, but for a couple months, a lesser pitcher will be used. I will step through the process of valuing Darvish by combining his value with a replacement level pitcher.

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Reviewing Steamer and I: Shane Greene & Jesse Hahn

For the previous Steamer and I reviews, I separated the two players into their own recaps, as there was simply too much to discuss for one post. However, for the motley pair of Shane Greene and Jesse Hahn, this is unfortunately not going to be a problem. You see, both of them saw their seasons cut short by injury and one of them was so bad that including his name as part of the title of an article will do little to motivate potential readers from clicking. So, combined they are.

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