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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If you’re hurting for outfield help in your deep mixed or mono league, this week’s deep league waiver wire is to the rescue!

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Two years ago, I modified the first equation I developed to yield an improved expected strikeout rate formula. The formula uses a trio of strike type rates found at Baseball-Reference.com, including a pitcher’s looking, swinging, and foul 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 as per pitch, rather than per inning or per batter.

Yesterday, I discussed the starting pitchers whose xK% most exceed their actual strikeout rates. Today, I’ll look at the other side of the list — those starting pitchers whose actual strikeout rates most exceed their xK% marks. These pitchers are at significant risk for regression.

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Two years ago, I modified the first equation I developed to yield an improved expected strikeout rate formula. The formula uses a trio of strike type rates found at Baseball-Reference.com, including a pitcher’s looking, swinging, and foul 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 as per pitch, rather than per inning or per batter. I calculated the xK% marks for all qualified starting pitchers, compared it to their xK% marks, and sorted. Let’s discuss those with the most significant potential upside, as suggested by xK%.

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