The Pod Projections are back! My projections are based on the methodology shared in my eBook Projecting X 2.0, and the process continues to evolve and improve.

Who was the most surprising starting pitcher in fantasy baseball last year? The answer might just be Kyle Hendricks. We ranked him 54th among starters heading into the season and he ended up earning $29.10, fourth most among starters at the end of the year. Oh, and he finished third in the Cy Young award voting. He also posted a suppressed .250 BABIP, a LOB% above 80%, and outperformed his SIERA by the widest margin among all qualified starters. So obviously, the knee-jerk reaction would be to figure some severe regression this season. Right? Let’s find out.

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We’re winding down our comparison of the Pod Projections and Steamer projections and will finish things off by moving on over to starting pitchers. What do we care about most? ERA, of course. So we’ll begin by checking in on a smattering of fantasy relevant hurlers in which I’m forecasting a significantly better ERA than Steamer. Interestingly, it appears that I’m simply far more bullish than Steamer in general, as I’m forecasting a lower ERA for 141 of the 161 starters that I project! That’s pretty crazy.

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The Pod Projections are back! My projections are based on the methodology shared in my eBook Projecting X 2.0, and the process continues to evolve and improve.

2017 Pod Projections Index:
Lance McCullers
David Dahl
Keon Broxton

Last night, I needed some inspiration. Who would be tomorrow’s Pod Projection? So I asked my Twitter followers and received a slew of options. Ultimately, I landed on a player I never considered for this honor and was “voted” on by just one tweeter. Trea Turner was so good last season over just 324 plate appearances that he finished 12th in value among second basemen. He essentially matched Ben Zobrist’s value in only about half the plate appearances!

And while we throw the term sample size around all the time and stress the importance of concepts like regression, fantasy owners are closing their ears and yelling lalalalala, because they love their Trea and there’s nothing you could do about it. He’s being selected 10th overall on average in NFBC drafts and has even apparently gone first overall, while he also holds an ADP of 13.5 in Fantrax drafts. Are fantasy owners nuts or is this not a repeat case of Carlos Correa and overvaluing a small sample?

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After a short break to tend to family matters, let’s return to the comparison of my Pod Projections to the Steamer forecasts. A week ago, I identified six hitters I was more bullish on for stolen bases, so today, I’ll discuss the hitters I’m more bearish on. To ensure we’re comparing apples to apples, I extrapolated Steamer’s stolen base projections to the same number of plate appearances I’m forecasting for each player.

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In fantasy auction leagues, among shortstops, many in the top- and middle-tier are either extremely pricey, or risky, or both. There are important question marks about some of the players that should give owners pause before making hefty financial commitments: Can we trust less than a full season of data on Trea Turner and Aledmys Diaz? Are Brad Miller and Jonathan Villar really worth their hefty price tags? Is Troy Tulowitzki just OK now, and can he stay healthy? Is this the year Addison Russell breaks out offensively?

If you don’t want to spend a fortune on one of the very best shortstops, it may be worth considering some of the names at the bottom. Among those are two shortstops who quietly had breakout campaigns in 2016.

Elvis Andrus has had a very strange career. He burst onto the scene as a 20-year-old rookie in 2009, and helped the Rangers win back-to-back American League pennants in 2010 and 2011. Andrus’ elite defense and contact skills earned him an 8-year, $120M contract with Texas in 2013, despite the fact that at the time of the signing Andrus had just an 87 wRC+ and .314 wOBA in his career. After he signed the contract, Andrus had just a 78 wRC+ and .292 wOBA from April 2013 through the end of the 2015 season.

However, in 2016, things changed in a big way. Andrus batted .302/.362/.439 with a 112 wRC+ and .344 wOBA. It was his first wRC+ above 97 and his first slugging percentage above .378. His .136 ISO was also a career high, easily surpassing his previous high mark of .099. The following tables help explain Andrus’ breakthrough season: Read the rest of this entry »

Necessity is the mother of invention. –Plato

I wanted to know how owners were valuing Michael Brantley’s playing time. Currently, at NFBC, he is going 233rd overall in NFBC drafts. Over a full season, he is projected to be more productive than the two outfielders going right before him, Carlos Beltran and Randal Grichuk. Owners, via calculations or their gut, are significantly downgrading a full season Brantley. But by how much? I needed to find the league replacement value.

I could go through all the whole league setting and final the values like I did for my Tout Wars league. While I recommend this detailed procedure for any league an owner takes seriously. I was just looking for a quick answer and stumbled upon one while looking over my Fantrax league.

Our friends at FanTrax.com have their players listed with projected stats and ADP. Having both downloadable made a projection sheet quickly come together.

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The Pod Projections are back! My projections are based on the methodology shared in my eBook Projecting X 2.0, and the process continues to evolve and improve.

2017 Pod Projections Index:
Lance McCullers
David Dahl

Who would make for the perfect hitter to be Pod Projected? The one with the biggest difference between the Fans and Depth Chart projections, of course!

Biggest diff between fans & depth charts:
1) Broxton
2) CSeager
3) TimA
4) Drury
5) CHernandez
6) Yoan
7) Eaton
8) GaryS
9) Bryant
10) Votto

— Eno Sarris (@enosarris) February 28, 2017

The Fans projections are notoriously bullish, but sometimes they rightly believe in a breakout, whereas the projection systems are programmed to forecast severe regression. Keon Broxton is no Spring chicken and is already 26 heading into the 2017 season. But he got his first chance to play regularly last season and made the most of it by posting a .343 wOBA, displaying both power and speed, excellent plate patience, and playing fabulous defense. Naturally, everyone is skeptical, though the Fans are far less so than Steamer and ZiPS. What about the Pod Projections, you ask? Let’s find out!

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Over the past week, I have collected information on how spring training closers battles have worked out from 2013 to 2016. Today, I go over the results. It’s now time to release the tables.

The first set of data shows how the team’s initial closer fared.

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We are pleased to announce a new projection system, “ATC”, is available on FanGraphs. It can be found on the projection pages and is also available in the auction calculator.

Today we are introducing to the public, the Average Total Cost Projection System (ATC Projection System). The system gets its name from the fact that it “averages” many projection systems together.

The ATC system does not simply take a straight average of all the projection systems. Instead, each system accounts for a different weight for each statistic for which it projects (The weights are based on historical past performance). For example, System A might be given a 20% weight for batter homeruns. but just a 5% weight for pitcher strikeouts. System B might have a 10% weight for HRs, but just a 2% weight for Ks. And so on. The ATC system incorporates ZiPS, Steamer, FanGraphs FANS and other freely available projections, plus prior MLB statistics over the past 3 seasons. There are, of course, some manual edits made along the way, mostly for playing time projections, as we get closer to Opening Day.

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Today, I continue the comparison of my Pod Projections to Steamer in various fantasy categories, this time identifying players I believe have stolen base upside. My stolen base projections are calculated using a proprietary metric I developed that is revealed in Projecting X 2.0. Essentially, it’s a stolen base attempts per opportunities ratio and I use historical rates to guide my projected rate.

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