Hitter xwOBA Underperformers — Jun 21, 2022
It’s been nearly a month and a half since I reviewed the hitters who had been most underperforming their xwOBA marks at the time. With nearly 40% of the season in the book, let’s revisit the underpeformers. I generally wait until June to truly dive into my roster and start looking to make trades, so now is a good time to identify targets.
| Name | BABIP | HR/FB | AVG | xBA | SLG | xSLG | wOBA | xwOBA | Diff |
|---|---|---|---|---|---|---|---|---|---|
| Max Kepler | 0.261 | 10.2% | 0.244 | 0.310 | 0.396 | 0.538 | 0.326 | 0.398 | -0.072 |
| Alec Bohm | 0.308 | 7.7% | 0.252 | 0.298 | 0.347 | 0.483 | 0.281 | 0.353 | -0.072 |
| Corey Seager | 0.226 | 17.6% | 0.230 | 0.294 | 0.440 | 0.580 | 0.321 | 0.392 | -0.071 |
| Giancarlo Stanton | 0.289 | 27.5% | 0.258 | 0.302 | 0.505 | 0.628 | 0.361 | 0.430 | -0.069 |
| Christian Walker | 0.180 | 20.7% | 0.201 | 0.275 | 0.483 | 0.610 | 0.336 | 0.405 | -0.069 |
| Will Smith | 0.257 | 11.8% | 0.243 | 0.294 | 0.416 | 0.576 | 0.336 | 0.404 | -0.068 |
| Max Muncy | 0.184 | 6.9% | 0.153 | 0.209 | 0.270 | 0.425 | 0.284 | 0.352 | -0.068 |
| Whit Merrifield | 0.251 | 3.2% | 0.229 | 0.278 | 0.312 | 0.440 | 0.259 | 0.327 | -0.068 |
Max Kepler is the league’s biggest xwOBA underperformer and it’s thanks to a combination of underperforming both on batting average and slugging. However, his .261 BABIP is actually his highest mark since 2017 and above his career average, though he’s improved his batted ball profile, tilting it more toward grounders, which should have a positive effect. His 10.2% HR/FB rate looks in the range of possibilities, but Statcast thinks he’s significantly underperforming his xSLG, suggesting more homers should be flying out. He has also posted his best walk and strikeout rates of his career. There are actually a lot of good signs here, so he could make an excellent under the radar target.
The Phillies second overall prospect a couple of years ago, Alec Bohm’s MLB career hasn’t gotten off to a very good start. However, Statcast thinks he should be hitting for far more power than he has. One problem here is his low FB%, so even if he raises that HR/FB rate back into double digits, it still won’t result in a high home run total for a corner infielder. Perhaps an NL-only and deep mixed league target, but I don’t see him as worth it in shallow mixed leagues.
It’s a surprise to find Corey Seager’s name here, considering he’s hit 15 homers already, but an absurd .226 BABIP, his first sub-.300 mark in his career, is to blame. While he’s raised his FB% to a career high, which will hamper his BABIP, he’s hitting a high rate of line drives and kept his pop-ups to a minimum. He’s a pretty obvious batting average improver, but I don’t see the power getting any better than it’s already been. Are his owners really willing to sell at a discount because he’s batting .230? It’s hard to believe.
Giancarlo Stanton has amazingly managed to score just 22 runs, despite 14 of those coming from his home runs. That said, Statcast thinks this has been Stanton’s best offensive performance, as he has posted the highest xwOBA of his career. That might have something to do with the fact that he’s posted the second highest Barrel% of his career, but his HR/FB rate remains right around his career average. At age 32, I don’t think there’s another gear here, so I’m just going to ignore what Statcast currently thinks and figure he’ll continue to perform similarly for as long as he remains healthy.
What a bizarre season it’s been for Christian Walker. His power has fully rebounded and has taken another step up, but his BABIP has plummeted to just .180! Sure, he’s become an extreme fly ball hitter and hasn’t hit enough line drives, but surely he deserves better than this. Remember, Statcast accounts for his batted ball types and still thinks he should be hitting .275. When you pair that with his power, you’re suddenly left with a top first baseman! His surrounding offense is slowing down his runs scored and RBI counts, but with a rebound in batting average, he could be one of the better ones the rest of the way.
I never think of Will Smith owning such splendid plate discipline, but he’s never swung and missed often, and he’s reduced his strikeout rate to a career best this year. Once again, he’s hitting tons of fly balls, but surprisingly avoiding pop-ups and also hitting a high rate of liners. It’s like the ideal combination of batted balls to both hit for power and a strong BABIP, but the latter hasn’t come. Smith has not been an annual underperformer, so he looks like an excellent catcher target if you’re dying at the position (most of you probably are).
Is Max Muncy fully healthy? Health or not, Statcast is already accounting for his batted balls, so whether he’s hit those fully healthy or not is irrelevant. He should be seeing better results regardless. That said, even his xStats are less impressive than they have been in the past. A .209 xBA ain’t good, even if it represents better than his current mark. Particularly concerning is a maxEV of just 106.5, which would mark a career low. Better health could suddenly come at any time, but personally, I’d just stay away.
Whit Merrifield has posted a career low BABIP, but Statcast thinks his batting average should be right in line with his history. In addition, with just a 3.2% HR/FB rate and .083, his power has been M.I.A. even more than it has in the past. I often find him undervalued in drafts to begin with, so he looks like a prime trade target as value perception may have significantly dropped here.
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.
Trying to ride it out with Christian Walker but it’s so frustrating. He was on an 0-15 stretch going into this past Sunday, so I put him on the bench in favor of someone else, and of course he socks 2 HR. He’s striking out at a remarkably low rate given how hard he’s hitting the ball, which is why I can’t bring myself to cut ties… I just keep hoping that we come into a prolonged period where his batted balls are finding grass instead of gloves so I don’t feel the urge to micromanage him around when I think he’s got a hot streak coming (which I’m obviously bad at assessing, anyway).
Recently managed to complete a trade where I gave Trevor Story (who I don’t believe in) plus some sweeteners for Corey Seager (who I do believe in). It’s purely bad luck with Corey, whose current BABIP is 100 points below his career BABIP.
The issue with Kepler is that his underlying plate discipline numbers are not appreciably different than his career numbers, but he is posting career bests in BB% and K%. His wOBA on contact should probably be better, but I think most of those gains may be offset by a regression in his BB/K numbers. Same thing with Seager, and I don’t think the BABIP rebounds that much either.
I believe that Stanton could still be posting better numbers, go look at some of his flyouts on the Baseball Savant page, he has more than a few that have historically gone for no-doubt homers in Yankee Stadium.
I’ve been watching Walker from afar, since I have both Votto and Muncy having terrible seasons. No one wants to take on CW’s batting average in my league. Muncy qualifies at 3 positions, so I’m inclined to keep him around as insurance for all 3, but Votto is only 1B and seems to have fallen back into a funk after a brief period of mashing. Any thoughts on Votto ROS?
Votto is doing what he has done for several years now – get off to a horrible start and then right the ship. He has had bad stretches to start every season since basically 2015. HIs career wOBA by month goes up every single month of the season – .375, .396, .401, .402, 408, .408.
His rolling 15 game wOBA includes these early season nadirs:
Except for 2019-20 when he was deciding he needed to transition to being more of a slugger, he reversed early season slumps and ended up with at least one peak with a rolling 15 game wOBA over .500 (he just missed hitting it again this year, peaking at .497 on 6/10/22)
The overall trend is clearly down as you would expect of an aging player, but he reversed the trend line in 2019/20 and has actually been trending back up since then save for the very obvious dip early this year which was pretty clearly related to his trying the new bat which equally clearly was not working. Since changing back to his old bat and coming off the IL he has a .401 wOBA over his last 112 PA.
Peak Votto isn’t coming back but don’t bet against Votto finding a way to be a good to very good hitter for at least a few more years.
For “at least a few more years”??? He’s already 38, and the aging decline has been showing for a while now even though he had that big bounceback last year.
Sure, if you already own him right now (or can get him essentially for free off waiver wire or something), then you might wanna hang on a bit more and see if he does bounce back enough to help ROS, but until he actually does that, it’s foolish to think/hope he has “at least a few more years” of being “good to very good” — if he actually bounces back enough, sure, he’d be worth a late round pick or something next year…
Of course, if you’re in a very deep league or NL-only, you probably have to give him a shot to bounce back — probably nothing better on waiver wire, etc…
Surprised JD Davis isn’t on this list as he’s lagging way behind his xwOBA I’m thinking because he’s an extreme ground ball hitter.
Walker is getting shifted much more this season than previous. According to Savant (% of PAs shifted):
And they’re working (per FG)
Some of that is attributable to luck. But he’s only hitting 3% of his grounders the other way. When 1/3 of your batted balls are virtually guaranteed outs (36.3 GB%, .136 BA on grounders) you’re gonna have a tough time. He’s hit 66 ground balls, has 55 Ks. That’s about 150 PAs left to pull that batting average to respectability and he’d need to hit like .400+ on them to even scratch a .250 average.
Re: “he’d need to hit like .400+ on them to even scratch a .250 average.”
That’s not that far from league average. Per StatCast, the league is hitting .378 on non-GB this year. I would guess that Walker would probably be above league average on non-GB, since his exit velocity is well above league average on those events (92.3 v. 90.8).
The .145 BABIP on shifted PAs is also somewhat misleading, since that includes non-GB as well. The fact that he is 3 for 49 on non-HR FBs against the shift is not because of the shift.
Walker is only hitting .419 on LDs, which is 200 points below league average. His LD/BIP rate is also 16.6% per StatCast, well below his 24.4% rate over the last three seasons. I anticipate a reduction in FB (and as a result, HR) and an increase in AVG for him going forward.
Fair points!
I would imagine though that shifting helps non-GB events as well. If you have a denser layout of defenders in a given area of the field, they will be better equipped to handle all balls hit in that direction. The effect would be small, but not nothing.
I calculated it – he would need to have 50 extra hits on non-GB batted balls to hit a .250 average with his current AB to date, which would be a .435 average. I’m not sure I’d be willing to say he should hit 50 points above league average on those batted ball types, especially if we grant that the shift might eat into his success on line drives and fly balls, which I think is plausible for LDs (only 11.1% of LD hit oppo this year). Even a league-average rate on non-grounders only regresses his batting average to .222.
Overall my point is that I don’t think people rostering Walker should expect some kind of crazy regression. I think he’d be lucky to finish the season hitting .220. He’s pulling the ball a lot and is being shifted a lot – a recipe for a lower BABIP and underperformance in xStats than one would otherwise think based on the batted ball profile.