Earlier this year, I developed the newest incarnation of my xHR/FB ratio, this time taking advantage of the Splits Leaderboard sent from the heavens. When researching the components of the equation, I calculated a 0.229 correlation between Fly Ball Pull% and HR/FB rate. That’s no surprise, as most batters have far greater pull power than power to any other part of the field. So then it follows that a batter who suddenly pulls their fly balls at a significantly higher rate could enjoy a power breakout. Let’s take a gander at the fantasy relevant hitters that have seen the largest gains in Fly Ball Pull% versus last year.

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In his debut season last year, Ryan Schimpf enjoyed one of the most extreme set of underlying skills I have ever observed. He posted the second highest fly ball rate over a single season since 2002, the first year we have data for. He also hit a ton of pop-ups and few line drives. Oh, and he struck out over 30% of the time and walked at a double digit clip. He was a man of extremes.

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What do we do to analyze players this early in the season? Focus on the underlying metrics that stabilize quickest and try to spot early changes. While our sample size stabilization points don’t include any advanced metrics, I would bet that the plate discipline metrics, including Z-Contact%, would sit on the low end in terms of how many plate appearances or batters faced they require to reach the calculated stabilization points. So let’s dive into the American League starting pitchers that have improved their Z-Contact% most from last year. Is there anything more illustrative of the quality of a pitcher’s stuff than making a batter miss a pitch in the strike zone?

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Get out the pom-poms, it’s the first Pod deep league wire of the season! As a reminder, I’ll discuss two players that are owned in 10% or less of CBS leagues.

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I struggle enough with pitcher analysis this early in the season, but it’s even more difficult to evaluate hitters. At least for pitchers, we have pitch metrics, such as velocity and movement, along with pitch mix and batted ball distribution that stabilize relatively quickly. We have no such metrics with which to analyze hitters, so it’s difficult to conclude with anything other then “small sample size, expect regression toward career averages” for each hitter. Let’s see how well I could avoid such a phrase as we take a look at the six hitters that have been added the most in CBS leagues over the last week.

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We know that pitch velocity stabilizes rather quickly and while a pitcher’s pitch mix each game could vary, sometimes wildly, it’s generally consistent from year to year. But often times, pitchers introduce a new pitch or switch up their current pitch mix in an effort to be more effective. Those changes could lead to a breakout if the pitcher lands on the optimal mix. Although we’re still only a couple of games started into the season, let’s take a gander at those starters who have thrown any of their pitches 15% more or less frequently than last season.

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What do you look for in second-week-of-the-season pitcher pickups? I’m solely looking at quality of stuff improvements, such as increased velocity, a spike in swinging strikes from a guy who rarely induces lots of them, and perhaps a new pitch mix featuring more prominently a pitch that has been effective, but less frequently thrown, in the past. Unfortunately, 99% of fantasy owners are simply picking up the guys who happened to only allow a run or less in their first start. While a blind squirrel will eventually find a nut, it’s not the most efficient path to success. That said, let’s take a gander at which American League starting pitchers fantasy owners are picking up on CBS.

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I’m a sucker for velocity spikes. We know that all else equal, higher velocity is better. And when a pitcher makes it to the Majors with certain expectations, those expectations are built upon his current velocity. What if that velocity improves? Well, then we should probably increase our expectations. So when I was reading of Shelby Miller’s velocity surge during spring training, my interest went from zero to, well, not zero.

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Yesterday, I discussed five players whose spot in the batting order was a surprise, to me at least, and perhaps everyone else as well. I didn’t include everyone though, so let’s take a look at six more hitters whose value is in line to change if these new lineups stick.

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As difficult as it is to keep up with during the spring, my Pod Projections reflect a hitter’s expected position in the batting order. For the best projections, they must, as all the counting stat forecasts are affected by a hitter’s spot. And yet even when we think we know where a hitter is going to slot in, when the games finally start to matter, there are always surprises. So here are a bunch of hitters whose spot in the batting order differs from my projection and whose value would therefore be affected meaningfully if it sticks.

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