Archive for Hitters

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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Champions League B, an Ottoneu league in which all owners must have previously won an Ottoneu league, had its inaugural auction draft last weekend. First-year auction drafts are compelling and informative, especially when the league is made up of skilled and experienced owners. Theoretically, in first-year auctions, all players should be purchased at or near their actual value. There shouldn’t be too much obvious surplus or too many colossal overpays.

Bargain hunting is a delicate endeavor in a first-year auction. Owners can hunt for potential bargains by targeting players coming off down seasons. Andrew McCutchen comes to mind. So does Yasiel Puig. Buying such players can be risky, because their recent poor play may be indicative of future performance. However, it can also be rewarding, because if the player bounces back he may return more value than his price warrants. Having so-called surplus assets is one of several keys to success in Ottoneu.

McCutchen and Puig saw their value decline because of uncharacteristically poor performance on the field. Another type of player to target when searching for surplus is players coming off injuries. Two specific examples are among the most compelling and potentially undervalued fantasy assets in the game. They’re the same age (29), and they play on the same team. They have remarkably similar career numbers and both had season-ending injuries in 2016. Below are the career totals for underrated co-stars A.J. Pollock and David Peralta: Read the rest of this entry »

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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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 »

So it’s been an xBABIP two weeks and we’re just about through analyzing every aspect of my new equation. Over the last couple of days, I’ve looked at the 2017 BABIP surgers and BABIP decliners, but the majority of the names were fairly obvious. If you posted a .230 BABIP in 2016, you’re probably going to find yourself on a potential surger list, while a .380 BABIP is likely going to get you onto the decliner list. Commenter Tom Cranker suggested cherry-picking a list of fantasy relevant hitters who posted 2016 BABIP marks around the league average (.300) who xBABIP actually believes should have performed significantly better or worse. These guys you wouldn’t think twice about believing their BABIP marks since they aren’t out of the ordinary, but their underlying skills suggest otherwise. Let’s take a look at some of those names.

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Let’s now follow up yesterday’s 2017 BABIP decliners list by looking back at who the new xBABIP would have convinced us to avoid heading into the 2016 season. Like I did when validating xBABIP using the surgers, I’ll compare how the would-have-been 2016 list performed versus their 2015 xBABIP and 2016 Steamer projections.

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Last Thursday, I used my new xBABIP equation to identify 10 fantasy relevant hitters whose xBABIP marks were significantly above their actual BABIP marks, suggesting serious BABIP upside in 2017. Today, I’ll make many of you sad with a list of names who are at risk of major BABIP regression this season, if they don’t improve their underlying skills by a massive degree. By no means do you want to avoid these names, you just simply don’t want to value them assuming their 2016 BABIP marks are actually sustainable. But since someone in your league probably does believe the 2016 BABIP is real, you probably won’t end up rostering them at a fair price.

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A week ago, I introduced the newest version of our ever evolving xBABIP equation, this time incorporating the much-needed shift data. Last Thursday, I identified the 10 fantasy relevant hitters with the greatest BABIP upside in 2017, given the gap between their 2016 BABIP and xBABIP. In the comments, I was asked if I could perform a retrospective analysis to see how the new equation would have done if I ran it heading into the 2016 season.

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