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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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

Today, I’ll dive into the first hitter to receive the exciting 2017 Pod Projection treatment. David Dahl thrilled us during his debut last year, showing power (.185 ISO), speed (7.7 Spd score, five steals), and batting average ability (.315). That’s literally everything we want as fantasy owners. Of course, let’s not ignore the fact that he required an absurd .404 BABIP to reach that impressive batting average mark. That said, he plays half his games at Coors Field, so perhaps his average has some staying power. Early 2017 NFBC drafters are already falling over each other to roster him, selecting him as the 22nd outfielder off the board (just before Matt Kemp, Khris Davis, and Adam Jones), and 91st overall. WOWZERS! That’s some serious love.

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Over the last couple of years, I have run the “Steamer and I” series, pitting our hitter wOBA and pitcher ERA projections against each other and discussing the players our forecasts differ the most for. I’m going to do things a little bit differently this year by focusing on individual stat categories, identifying a group of players I’m significantly more bullish on compared to Steamer, and vice versa, in that metric.

We’ll start with home runs. I will be comparing my home run Pod Projections to Steamer, which have been extrapolated to the same number of at-bats I’m forecasting. Today, we’ll look at the hitters I’m most bullish on versus Steamer.

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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.

A couple of months ago, I received my first Pod Projection request from a commenter, and that request was for Astros starting pitcher Lance McCullers. The 23-year-old made his Houston debut in 2015, as he made 22 starts and posted an impressive 3.22 ERA with excellent underlying skills. Unfortunately, he followed up that freshman effort by finding himself on the disabled list for what amounted to about half the season. He dealt with both shoulder and elbow issues, which limited him to just 14 starts. Although his control deserted him, he still posted strong skills, en route to an identical ERA as 2015. Now, he’s the newest member of my 2017 LABR Mixed Draft squad, so let’s find out what I projected his 2017 results to look like.

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Some fans call him Superman, and for good reason. He hits for average and for power; he draws walks and barely strikes out; he plays premier defense at a premium position. He’s won Rookie of the Year, Most Valuable Player, three Silver Sluggers, a batting title, a Gold Glove, and oh by the way, three World Series rings. Read the rest of this entry »

Projection Analysis: Yoan Moncada

Many prospect experts project Yoan Moncada to be one of the game’s few top prospects. Some have him as the top guy but his MLB playing time and production varied substantially. I found I needed a projection I felt comfortable using.  I’ll start with his playing time.

I believe he’ll be promoted between the Super Two deadline (so the White Sox can save money) and early September (rosters expand). I thought about using July 15th (All-Star Game) as my cut off.

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My Tout Wars prep continues. I have already examined the league’s historical aspects which I have used to create initial auction values and a draft outline. With the initial projections out of the way, I am refining them. One step in this process is to find the replacement level player and adjust players who will miss time accordingly.

The concept behind the replacement level player is fairly simple. If a good player is expected to miss significant time, his fantasy value is based on just the games he is expected to play. For the games he misses, some lesser player (replacement level player) will fill. The better player’s total value will be both his and the replacement player’s contribution.

For example, I don’t expect Yoan Moncada to get called any earlier than the Super Two deadline around June 1st. For the months he’s in the minors, a less talent replacement level player will be subbing in for him. The same idea works with pitchers. Tyson Ross is expected to miss at least a couple of months so a replacement is needed until he gets healthy.

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