Archive for Hitters

Mariners’ Playing Time Battles: Hitters

After 7 disappointing years under Jack Zduriencik (which followed 5 soul-crushing seasons under Bill Bavasi), new Mariners’ GM, Jerry Dipoto, raced up I-5 with a mandate to bring consistency and a fresh approach to the Emerald City. Faced with a number of holes to fill, the former Angels exec has already made a series of moves signaling a shift in the Mariners’ philosophy towards defense and on-base ability, a welcomed change from that of the last regime’s affinity for low on-base, immobile power hitters who strike out a lot. Huzzah.

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2016 Pod Projections: Xander Bogaerts

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.

Yesterday, I published my first Pod Projection of the year, and the honor was bestowed upon the Dodgers’ hyped young shortstop, Corey Seager. Several commenters asked me to clarify my feelings on Seager’s ADP in relation to Xander Bogaerts, so I figured I might as well expand upon my thoughts on the latter by giving him the full Pod Projection treatment.

Bogaerts, a former top prospect with the Red Sox, completely transformed into a new type of hitter in 2015. It’s odd because this is something you might expect from an established veteran who is compensating for deteriorating skills. Established veteran Bogaerts is not, but the finished product delivered significantly more offensive value than the 2014 version. He struck out far less, though his SwStk% only declined marginally, the respectable minor league power he had displayed in the past declined even further, he became an extreme ground ball hitter, at the expense of fly balls, he went to the opposite field with dramatically greater frequency, and his BABIP skyrocketed. Phew! Is there anything in Bogaerts’ statistical profile that didn’t change drastically?! His line drive and pop-up rates were virtually unchanged, so there’s that!

With all these changes, it makes projecting his 2016 performance that much more difficult. It’s hard enough forecasting a player with just two Major League seasons to his name, so when we cannot even determine a true baseline for his skills, we’re essentially just taking a wild guess. So here goes…

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2016 Pod Projections: Corey Seager

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.

The honor for first 2016 Pod Projectionee goes to Dodgers shortstop Corey Seager. He came to the plate just 113 times in his Major League cup of coffee, but man did he impress. He posted a robust .421 wOBA and displayed elite underlying skills across the board. I wrote him up in mid-November, concluding with the following:

With all the other exciting sophomores getting more attention, it’s possible Seager slips under the radar, even with his excellent September performance. Normally, he’s the type of player who would be a near lock to be overvalued. But I’m not so sure about it. In fact, I’m rather curious where fantasy owners will peg his value. I don’t expect a big breakout, but he could very well be a solid across the board contributor.

“…it’s possible Seager slips under the radar”, ha! He’s currently the 55th player off the board and third shortstop selected according to NFBC ADP. Surely fantasy owners haven’t forgotten about him and are putting an awful lot of stock into his prospect pedigree and a tiny sample of MLB performance. Are they justified in their optimism?

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Cardinals’ Playing Time Battles: Hitters

We’ve started our annual Depth Chart Discussions, re-branded as Playing Time Battles for 2016. You can catch up on every team we’ve covered in the Playing Time Battles Summary post or following along using the Depth Chart Discussions tag.

The Cardinals starters — and even their reserves — are mostly set. Jedd Gyorko was acquired in return for Jon Jay and should serve as the primary backup to Matt Carpenter at third base, Jhonny Peralta at shortstop and Kolten Wong at second base. None of the starters ahead of Gyorko are in danger of losing their starting jobs, but should any of them suffer an injury, the former Padre could have modest deep-league value as a middle infielder with average to above average power (.158 ISO and 49 homers in 1,426 career plate appearances), albeit with an ugly average (.247 last year and .236 for his career). That said, there’s no playing time battle at second base, shortstop or third base. There is, however, a fierce battle to be waged at first base. The outfield is essentially settled, but there is one position worth monitoring during the year. Read the rest of this entry »


Pirates’ Playing Time Battles: Hitters

We’ve started our annual Depth Chart Discussions, re-branded as Playing Time Battles for 2016. You can catch up on every team we’ve covered in the Playing Time Battles Summary post or following along using the Depth Chart Discussions tag.

Fresh off 98 wins and a third consecutive post-season appearance, the Pirates enter 2016 with an elite outfield and one of baseball’s preeminent pitch framers behind the dish. But the infield, like the Allegheny that flows just beyond PNC’s walls, is both murky and shallow.

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ESPN Home Run Tracker Analysis: The 2016 HR/FB Downsiders

Three years ago, I conducted an exhaustive study of ESPN Home Run Tracker data. At that time, it was the primary tool I used to validate a batter’s power, before we got into the sexy new batted ball distance, and then combined that with standard deviation of distance and average absolute angle. The short story is I found that hitters with an unusually high percentage of “Just Enough” (JE) homers saw their HR/FB rates decline the following year, significantly more than the rest of the player population. On the other hand, those who hit a high percentage of “No Doubt” (ND) homers maintained their HR/FB rate much better than the rest of the group.

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ESPN Home Run Tracker Analysis: The 2016 HR/FB Upsiders

Three years ago, I conducted an exhaustive study of ESPN Home Run Tracker data. At that time, it was the primary tool I used to validate a batter’s power, before we got into the sexy new batted ball distance, and then combined that with standard deviation of distance and average absolute angle. The short story is I found that hitters with an unusually high percentage of “Just Enough” (JE) homers saw their HR/FB rates decline the following year, significantly more than the rest of the player population. On the other hand, those who hit a high percentage of “No Doubt” (ND) homers maintained their HR/FB rate much better than the rest of the group.

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The 2015 Hitter xBABIP Overachievers

Yesterday, I used Alex Chamberlain’s xBABIP formula to determine which hitters most underperformed in the BABIP department, if you believe in xBABIP, of course. Today, I check in on the other side of the coin — those hitters whose xBABIPs were well below their actual BABIP marks. Since we’re dealing with an equation here that still has much room for improvement (it’s r-squared is the best I’ve seen, but still only in the mid-0.40 range), it’s possible, heck quite likely, that it’s missing things.

So let’s not take what it says as gospel, but it would be foolish to ignore what it suggests. Though you might not agree that these hitters all have the type of downside xBABIP hints at, everyone should agree that there’s far more downside here than upside and elevated risk if fantasy owners are paying for a repeat BABIP, or close to it.

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The 2015 Hitter xBABIP Underachievers

Seemingly every year, we try to develop a new hitter xBABIP equation. Obviously, the goal is to improve upon the previous iteration because BABIP is really hard to predict. We can be reasonably sure that some hitters own high BABIP, average BABIP or low BABIP skills, but that’s about it. In any given year, the metric could swing wildly. As more granular data continues to be made available to us, we could use it to keep bettering our ability to predict BABIP and understand which underlying skills drive it.

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5 Hitters With Major HR/FB Downside

Yesterday, I whipped out my xHR/FB equation and compared its calculation to every player’s actual HR/FB rate to come up with a list of eight hitters destined for a HR/FB rate spike off their 2015 marks. Today I visit those on the opposite end of the spectrum, the guys who outperformed their xHR/FB rates the most.

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