Author Archive

HR/FB Rate Validations Using xHR/FB Rate – The Leaders

For the third week in a row, we once again use Statcast’s Brls/BBE (barrels per batted ball event) as the primary component of my xHR/FB rate, to analyze hitter HR/FB rates. Today, I’ll use xHR/FB rate to validate some of the surprise HR/FB rate leaders. This doesn’t necessarily mean the hitter is going to sustain this pace — their Brls/BBE could certainly decline, and given that it’s likely quite high now, it probably will — but that what has happened so far looks like a legitimate power breakout, rather than a small sample fluke.

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Surprises Among AL SP SwStk% Leaders

We all know that names like Chris Sale, Danny Salazar, and Chris Archer are going to rank among the top tier in SwStk%. So let’s instead discuss the surprising names inside the top 20 in the American League of SwStk% that have all enjoyed surges from last season.

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Rey Fuentes & Jace Peterson: Deep League Wire

As usual, injuries have thrust players we typically ignore in most fantasy leagues into more active roles, which is usually the theme of these player recommendations.

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The HR/FB Rate Decliners

Yesterday, I used my xHR/FB rate equation to discuss the hitters whose actual HR/FB rate marks sat significantly below their expected marks. Today, I’ll check in on the hitters whose actual HR/FB rates are significantly higher than their xHR/FB rates. As a reminder, these are the marks unadjusted for home park.

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The HR/FB Rate Surgers

Last week, I discussed the early Brls/BBE (barrels per batted ball event) leaders and laggards from the Statcast leaderboard. Let’s continue our look at the metric, this time using my new Statcast fueled xHR/FB rate equation to identify the hitters whose xHR/FB rates are significantly higher than their actual HR/FB rates. The gap suggests these hitters could enjoy an imminent surge in home run power.

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The AL SP FB% Decliners

Last week, I identified and discussed eight American League starting pitchers that have seen their fly ball rate increase most versus last year. Let’s flip the coin this time and check in on those starters that have seen their fly ball rate decline.

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Tommy Pham & Colby Rasmus: Deep League Wire

Hope you need outfielders, because I got two for ya.

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Early Barrels Per Batted Ball Event (Brls/BBE) Laggards

Yesterday, I shared with you the top 15 hitters in the Statcast metric Barrels per Batted Ball Event (Brls/BBE). Today, I’ll tackle the bottom of that list, the laggards. These are the batters who have displayed no punch behind their batted balls. Since this list is far more boring and less interesting than the leaders, I will only pluck the fantasy relevant names, and those that are a bit of a surprise. There’s no need to list guys like Billy Hamilton as we know they will sit at the bottom.

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Early Barrels Per Batted Ball Event (Brls/BBE) Leaders

Late last season, the wonderful people at MLBAM graced us with a gift from the heavens — a new stat called Barrels. While there’s specific criterion that must be met to be considered a “barrel”, essentially, it’s a ball that a batter hits the crap out of. The stat is available on the Statcast leaderboard, which also includes the total number of batted ball events recorded for the batter. That allows for the calculation of an easy ratio, dubbed Barrles per Batted Ball Event, or Brls/BBE. I used this metric as the primary component of my Statcast-fueled xHR/FB rate. So now that the fine folks over at MLBAM have updated the numbers for the season, it’s time to dive in. Let’s begin by simply checking in on the leaders.

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The AL SP FB% Risers

With all the talk about hitters increasing their launch angles, and therefore they fly ball rates, that would mean pitcher fly ball percentages are rising as well. Remember though that unlike for hitters, it’s less black and white as to whether an increased fly ball rate is a good or bad thing. It’s heavily dependent on context, such as the pitcher’s outfield defense and home park. So let’s take a look at which AL starting pitchers have seen their FB% jump most versus last year and determine whether it’s a positive change or not.

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