Author Archive: Mike Podhorzer

Last week, I identified five hitters whose batted ball distance suggested better HR/FB rate days may be ahead and another five hitters who may be in for a sudden HR/FB rate decline. That’s one way to use a hitter’s average home run and fly ball distance — as a predictive metric to speculate on improvers and regressers moving forward. The other use is to validate as a backwards looking tool. Player X’s HR/FB rate has spiked, has his batted ball distance surged as well? The batter would seemingly have a better shot at sustaining that increased HR/FB rate if it came with a similar trend in his distance. Of course, he may not sustain the distance, in which case the HR/FB rate would fall. But we still want to see the two match up.

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It’s easy to advise fantasy owners to buy low and sell high, but unless you’re in a league filled with newbies, it’s much more difficult to actually put into practice. It’s far easier to execute a sell low or buy high trade, because we’re all trained to do the buy low, sell high thing. When you’ll selling low, your trade partner may very well think he’s buying low. But you know better. Or at least believe so.

Today, I’ll recommend three American League starting pitchers to sell low on. It’s not typically a strategy that I’m a fan of, especially early in the season when it’s still mostly small sample size zone. But there are certainly changes that can occur in various aspects of a pitcher’s underlying skill set that is driven by various forces that should alter our evaluations and projections moving forward. I think these three are examples of such happenings.

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Welcome to an all Astros edition of the deep league waiver wire! With a series of roster moves, opportunities abound.

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So we all know by now that batted ball distance correlates pretty well with HR/FB rate. It’s fairly obvious, as the further the batter hits the ball, the better chance it has of landing on the other side of the fence for a dinger. Adding in the two additional components that compose my xHR/FB rate equation increases the usefulness, but sadly that data is not available just yet. Yesterday, I discussed five hitters whose distances suggest dramatically higher HR/FB rates than have been posted. Today, I’ll look at the bottom of the distance boards and identify five hitters whose HR/FB rates are out of place, and should be lower, perhaps significantly so.

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So we all know by now that batted ball distance correlates pretty well with HR/FB rate. It’s fairly obvious, as the further the batter hits the ball, the better chance it has of landing on the other side of the fence for a dinger. Adding in the two additional components that compose my xHR/FB rate equation increases the usefulness, but sadly that data is not available just yet. So today, we’ll look at the top of the distance boards and I’ll identify five hitters whose HR/FB rates are out of place, and should be higher, perhaps significantly so.

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When I analyze a starting pitcher’s strikeout rate spike, I want to see that it’s driven by an increase in swings and misses induced. It could come from other avenues — a higher rate of strikes thrown or more called or foul strikes. But in my eyes, the most believable way to sustain that strikeout rate surge is by generating additional whiffs. So below are the seven American League starting pitchers that have increased their SwStk% marks the most compared to last season.

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Welcome back to another edition of the deep league waiver wire, where there’s another opportunity to take advantage of an injury and a preemptive move for an imminent returnee.

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Three years ago, I introduced the best pitcher expected walk percentage formula yet. The formula uses a pair of strike type rates found at Baseball-Reference.com, including a pitcher’s in-play strike percentages, as well as his overall rate of strikes thrown. The beauty of the equation is that it uses components that stabilize quickly, as the rates are per pitch, rather than per inning or per batter. The equation isn’t nearly as strong as my xK% one, as it’s clearly missing sequencing, which may or may not be a consistent skill. But it’s pretty darn good and the best we have at the moment.

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Three years ago, I introduced the best pitcher expected walk percentage formula yet. The formula uses a pair of strike type rates found at Baseball-Reference.com, including a pitcher’s in-play strike percentages, as well as his overall rate of strikes thrown. The beauty of the equation is that it uses components that stabilize quickly, as the rates are per pitch, rather than per inning or per batter. The equation isn’t nearly as strong as my xK% one, as it’s clearly missing sequencing, which may or may not be a consistent skill. But it’s pretty darn good and the best we have at the moment.

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It’s that time of year again, American League starting pitcher tier update time! You are no doubt well aware by now that ERA means literally nothing to me this early in the season. Player movement between tiers will only occur when there’s a change in underlying skill, pitch mix, or velocity.

Tiers are named for the best characters on the brilliant FXX show, Man Seeking Woman.

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