Hitter xBABIP Underperformers

It’s hard to believe that we’re now about two months into the season and this has been my first post on xBABIP all year. Well, here it is. While I developed my own xBABIP equation back in early 2015, the availability of new data since my formula was published allowed Alex Chamberlain to create an equation I prefer and use instead. Not only is the r-squared slightly better, but all the metrics are available here on FanGraphs. When I’m looking to buy low, the most attractive targets are hitters whose power is fine, but are simply suffering from an unfortunate BABIP. Below is that list of hitters.

For the first time, I have included all the components of the xBABIP equation so we can get a better sense of which component(s) each hitter is excelling in and where he could improve.

xBABIP Underperformers
Name LD% True FB% True IFFB% Oppo% Hard% Spd BABIP xBABIP Diff
Derek Norris 19.4% 34.2% 5.6% 35.2% 36.1% 2.1 0.214 0.310 -0.096
Joey Votto 21.4% 28.2% 0.0% 25.2% 43.7% 2.2 0.255 0.346 -0.091
Kendrys Morales 15.2% 38.7% 1.5% 23.5% 35.6% 0.8 0.205 0.290 -0.085
Albert Pujols 16.8% 31.7% 3.6% 18.6% 35.9% 2.9 0.212 0.295 -0.083
Erick Aybar 20.0% 24.3% 0.9% 31.2% 18.4% 2.4 0.221 0.304 -0.083
Prince Fielder 21.6% 29.8% 2.0% 27.0% 29.1% 0.7 0.226 0.305 -0.079
Matt Duffy 23.8% 27.3% 0.6% 34.9% 27.3% 6.1 0.271 0.349 -0.078
Curtis Granderson 19.1% 39.0% 1.5% 14.4% 40.2% 4.6 0.236 0.313 -0.077
Yonder Alonso 20.5% 27.0% 4.1% 30.1% 33.3% 2.9 0.246 0.317 -0.071
Nick Ahmed 24.2% 25.0% 3.9% 26.4% 31.8% 3.3 0.256 0.324 -0.068
Matt Kemp 18.9% 42.1% 1.9% 23.9% 34.0% 1.3 0.231 0.295 -0.064
Buster Posey 21.3% 31.4% 1.3% 27.3% 39.3% 4.8 0.280 0.342 -0.062

Congratulations to Derek Norris who has the distinct honor of topping the xBABIP underperformer list. Norris’ batted ball type distribution is identical to his career average and he’s hitting for the same power as always. He’s actually going the opposite way at a career best clip, while his Hard% has surged. All this would seem to mean that if anything, his BABIP may actually be a bit higher than his career average. Nope, it’s the fourth lowest in baseball. Unfortunately, his existence on a pitiful Padres offense has resulted in just 10 runs batted in, despite five homers, so even with a batting average rebound, he’s still not going to be worth much in 12-team mixed leagues. I’m also not sure what happened to his plate patience, so he no longer gets a bonus in OBP leagues.

Yeesh, who would have ever imagined that Joey Votto would be slashing a sad .207/.330/.367 at the end of May?! Unlike Norris, all Votto’s skills have turned in the wrong direction — his worst walk rate since 2009, a strikeout rate spike to a new career high (though without a corresponding jump in SwStk%, which is a good sign), and his lowest ISO, now in the range of his career low set in 2014. Oddly, his Hard% is at a career high, which obviously doesn’t match with a near career worst ISO. His line drive rate is also at a career low, which is bad for BABIP, but the good news is that he has yet to pop up this season. So at least he has held onto that skill so far. It’s clear that this is a less impressive version of Votto than we have become accustomed to seeing, but that BABIP deserves to hop over the .300 plateau. There are definite warning signs though, so he’s not an all-out acquisition target.

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It’s always a good sign when two metrics confirm that Kendrys Morales has much brighter days ahead. Last week it was Andrew Perpetua’s metric xOBA, and now xBABIP. Of course, BABIP is technically part of Perpetua’s xOBA, since that’s an all-encompassing offensive metric. Morales’ batted ball distance is also fantastic at over 300 feet, suggesting serious upside on that sub-10% HR/FB rate. He’s an excellent buy low and shouldn’t cost much, though the Util only position eligibility is annoying.

I keep historical xBABIP marks going back to 2011, and since that season, Albert Pujols has underperformed every single year. And since 2012, the underperformance has gotten more significant each season. It’s likely shift-related, as he has pulled his grounders at least 60% of the time for the majority of his career. Bad news: splits on splits such as Pull% on grounders is only available on individual player pages, meaning at this time, it cannot be incorporated into a new and improved xBABIP. Good news: I am confident the data will eventually find its way onto the leaderboards and I can assure you it will provide meaningful additional information to make xBABIP even better.

I seriously have no idea where Prince Fielder’s power went. But at least according to xOBA and xBABIP, his batting average should at least be above the Mendoza Line. He has never posted a BABIP below .274 and all his batted ball metrics look good and in line with historical levels. The increased strikeout rate and scary lack of pop would make me too nervous to try buying here, though.

I was amused during recent trade negotiations in my home league when my leaguemate made an offer for my Matt Kemp, and called him a .220 hitter. Sure, he’s hitting just .228 at this very moment, but we all know that doesn’t mean that’s what the hitter is. Kemp is doing his normal thing this year, though has hitting more fly balls than ever before, which might be hurting him a bit more than you would expect given his home park. xBABIP doesn’t account for park factors. The strangest part of Kemp’s statistical profile is that puny 1.9% walk rate. He’s swinging at everything this year and check out that bloated 44.4% O-Swing%! Perhaps he’s just making lots of bad contact with pitches outside the zone. Weirdness all around. Still, he’s only posted a sub-.300 BABIP once his entire career and sports a career .341 mark. I think we can assume that improvement is on the way.

It’s interesting when a .280 BABIP is low enough to still get you on the xBABIP underperformer list. But that’s exactly the situation for Buster Posey, whose batted ball profile is nearly identical to past years, but with a career high Hard%. Funny how that combination has led to a BABIP below .300 for the first time. His BABIP over a full season has never fallen below .312, which is mighty impressive. Aside from the crazy .368 mark he posted in 2012, he has been extremely consistent, posting marks between that .312 and .326 since 2010. If the Posey owner in your league forgets how valuable the top catcher is, pounce.





Mike Podhorzer is the founder of ProjectingX IQ, an advanced fantasy baseball analytics platform that transforms projection data and in-season performance signals into actionable intelligence. He 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.

12 Comments
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MerlMember since 2018
10 years ago

Joey Votto set out to prove you wrong once again.

BradG
10 years ago

Concerned that Rizzo isnt’t here

johnforthegiants
10 years ago
Reply to  BradG

Rizzo has very few line drives or infield hits, lots of infield flies, and like 45% pull rate. He has all the features of a very low babip guy.

johnforthegiants
10 years ago

Both Duffy and posey have not been spraying their hits as well as in the past and this may be related to their underperformance. Duffy is hitting as many balls to the left but unlike last year they are almost all grounders or easy flies, and so some teams have been swinging their outfield to the right to deal with the all the liners he’s hitting there. Posey is pulling way more than usual and although i haven’t noticed dramatic changed in how he’s being defensef like duffy, there may be smaller changes which are having an effect.

Dolemite
10 years ago

Kendrys Morales or Justin Bour (12 team 5×5 roto weekly lineup with a need at CI spot)
Is it close?

KJLMember since 2025
10 years ago
Reply to  Dolemite

i would go Bour, just avoid weeks where hes slated to face multiple lefties. Career .271/.336/.502 vs righties

KnucklebearMember since 2024
10 years ago

This is purely anecdotal but from the handful of Votto at bats that i’ve watched the shift seems to really be suppressing his babip. He seems almost content to hit into the shift and he’s trying to beat it by hitting it harder instead of going oppo.

Like I said, this isn’t based on any data and i’d love to hear what other’s think.

YubiBogarten
10 years ago
Reply to  Knucklebear

I don’t have any data either, but as a Reds fan it seems that teams put the shift on Votto far more than in past years. Reds beat writers have talked about it as well. Also, a look at his heatmaps shows that pitchers are pounding him inside this year, and have stopped throwing low and away, taking away his ability to go opposite field.

johnforthegiants
10 years ago
Reply to  Knucklebear

This was also my impression from a few games.

johnforthegiants
10 years ago

Something which I don’t understand about the formula for xBABIP you use is that the number of infield hits which a batter has is a product of not only the batter’s speed but also the percentage of ground balls that he hits, but the percentage of ground balls is not mentioned at all in the formula. Is the idea that this is accounted for by including the number of line drives (plus) and fly balls (minus)?

CasonJolette
10 years ago

Is there anything positive to see in Grandal’s profile? His .218 BABIP is killing his once profitable OBP. Posting below average BB% and K% after a horrible month of May, batted ball and hard hit ball distribution looks close to career average, although he is pulling the ball a little more, hitting the ball into the ground a little more and popping up a little more. Was about to drop him for Ramos, but someone beat me to it. Next best option is Wieters.

johnforthegiants
10 years ago
Reply to  CasonJolette

His LD% is 15.8%, that’s a disaster. His True IFFB% is 4.9%, that’s if anything even worse. His Oppo% is 13.4%, also horrendous. He has only 1 infield hit this year. In terms of xBABIP, the only thing he isn’t terrible in is Hard% (35.4%).