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.
Player | Batted Ball Events | Barrels | Brls/BBE |
---|---|---|---|
Miguel Sano | 55 | 14 | 25.5% |
Aaron Judge | 67 | 17 | 25.4% |
Alex Avila | 34 | 8 | 23.5% |
Khris Davis | 69 | 16 | 23.2% |
Matt Davidson | 39 | 9 | 23.1% |
Joey Gallo | 57 | 13 | 22.8% |
Ryan Zimmerman | 85 | 19 | 22.4% |
Yoenis Cespedes | 50 | 10 | 20.0% |
Matt Kemp | 59 | 11 | 18.6% |
Freddie Freeman | 81 | 15 | 18.5% |
Justin Upton | 55 | 10 | 18.2% |
Nick Castellanos | 83 | 15 | 18.1% |
Trey Mancini | 39 | 7 | 17.9% |
Manny Machado | 88 | 15 | 17.0% |
Yonder Alonso | 65 | 11 | 16.9% |
A lot of the hitters on this list are not surprising. But there are quite a few who are. Let’s focus on those that are.
Miguel Sano, duh. It’s been an incredible start so far, as he has posted a .468 BABIP, and 18.6% walk rate, and has yet to hit a pop-up. But perhaps the craziest stat? He owns the lowest Soft% among qualified batters…by far. His 1.8% mark is microscopic and really just unbelievable.
If you were still on the fence as to whether Aaron Judge was for real (you’re not on the fence, right?!), then his Brls/BBE mark should confirm for you that he is, indeed, for real. He’s a good example of why scouting is still beneficial, as he was never an elite power source in the minors. Good, yes, but not at the level you would expect given the expectations of his eventual peak production.
So maybe Matt Davidson can sorta keep this up. His BABIP isn’t seriously inflated and his HR/FB rate is just barely over 20%. The only question mark is the fly ball rate, as it’s highly unlikely he could sustain a near 60% mark. When that drops, his offense is going to decline and all the strikeouts are going to be problematic.
I’m just surprised that Joey Gallo isn’t higher! His profile has been very Davidson-esque with tons of fly balls boosting the power. He even has some offensive upside when that .234 BABIP improves.
How is it that I liked Ryan Zimmerman as an undervalued choice the last two years and now he goes off after I lost interest?! Sure, he’s obviously healthy now after several injury-marred seasons, but he was never this good during his peak years!
BUY Nick Castellanos. His batted ball profile is pristine, but somehow his HR/FB rate sits at just 10.7%, despite sitting near the top of the Brls/BBE leaderboard. He has yet to hit a pop-up, has been hitting line drives like mad, and sits with a near league leading 6.0% Soft%.
I purposely expanded the list to get to Yonder Alonso, who homered again yesterday. We know that he has changed his swing to increase his launch angle, aka boosted his fly ball rate, but his fly balls are flying over the fence five times as often as they did last year! Since he’s swinging and missing more, this looks like a complete change in plate approach. I wouldn’t expect a sustained 20%+ HR/FB rate, but he’s looking like a buy high.
Mike Podhorzer is the 2015 Fantasy Sports Writers Association Baseball Writer of the Year and three-time Tout Wars champion. He is the author of the eBook Projecting X 2.0: How to Forecast Baseball Player Performance, which teaches you how to project players yourself. Follow Mike on X@MikePodhorzer and contact him via email.
Can someone do some research into the Statcast disparity that exists at different ballparks? Comerica definitely seems to overstate exit velocity and/or launch angle. Also seems like Minute Maid might be at the other end of the spectrum.
When I looked into it earlier this week, the Tigers were averaging 10.2% B/BBE compared to 6.4% for rest of league. That included a 11.3% / 8.6% home and away split.
Visiting teams in Comerica hit 9.9% B/BBE, despite averaging only 6.3% outside of Comerica.
That’s not enough to prove anything, but seems mighty suspicious, especially when looking at the barrel and hard hit rates of guys like Avila and Collins.
May I ask how you got that information about the disparity in ballparks? I don’t see anything in the link to Statcast that Mike provided that gives info about that.
And why are you suspicious about Avila? I was curious about his success so far so I checked his numbers at FG and his hard hit percentage is extremely good at 55.9%. Of course, that’s not going to last and neither will his HR/FB rate which currently sits at nearly 31%.
I used baseball savant’s statcast search and calculated the figures myself. Took some time haha. I can send the spreadsheet I used if you’re interested.
And isn’t soft / hard hit percentage derived from things like exit velocity? If so then those would be impacted by differences in ballpark statcast calibrations.
No, that’s okay. I was just curious about it. But I do appreciate the offer anyway.
I’m not very good with spreadsheets anyway because of the neuropathy medication I take. It makes me very dopey and my vision blurry.
I ordered Mike’s projections and realized that I was WAY in over my head. I guess you could say that I was the victim of “irrational exuberance” (as Alan Greenspan might say), lol.
Plus 1. Something seems off about the entire statcast data for Detroit. Just check their home and road splits. Pretty stark.
From Mike Petriello on Twitter:
“Nothing that I’m aware of tech-wise. Venue avg LA is highest, but DET hitters have 2nd lowest GB%, & DET P w *lowest* GB%, so.. makes sense”
Explains the high visitor Brls/BBE at Comerica…because Tigers pitchers give up tons of hard fly balls.
The Tiger home/away split might just be a playing better at home thing and small sample size.
Pitchers –
Tigers Home B/BBE: 9.9%
Tigers Away B/BBE: 8.9%
Diff: +1.0
MLB Home B/BBE: 6.2%
MLB Away B/BBE: 6.6%
Diff: -0.4
Tigers pitchers getting hit harder at home doesn’t make a lot of sense when rest of league has a slight advantage at home.