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Poll 2024: Which Group of Hitters Performs Better? A Review

Poll 2024: Which Group of Hitters Performs Better? A Review
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Through the all-star break, I polled you high-quality readers about hitters and your expectations within the second half. The ballot pitted the ten best xwOBA overperformers in opposition to the ten most vital underperformers. I requested you which of them group would put up the next second half wOBA and which vary every group’s wOBA would fall into. Let’s now evaluate what occurred.

As a reminder, beneath are the mixture averages of the 2 teams via the pre-all-star break interval. Do not forget that you had been voting solely on 2nd half wOBA. Group A was composed of the xwOBA overperformers and B, the underperformers.

1st Half Group Averages Comparability

Group
BA    
xBA    
SLG
xSLG
wOBA
xwOBA
Diff

A
0.275
0.243
0.460
0.382
0.343
0.301
0.042

B
0.234
0.265
0.393
0.467
0.306
0.347
-0.040

League Common
0.243
0.247
0.397
0.408
0.310
0.317
-0.007

The ballot outcomes had been as follows:

Almost 69% of you figured Group B, the xwOBA underperformers, would put up the next 2nd half wOBA. That feels like fairly the bulk, but it surely was really decrease than 2023’s almost 78% vote! Clearly a few of you weren’t as enamored with the names in Group B. What’s additionally enjoyable is an almost similar proportion of voters went with the Neither possibility as they did in 2023.

Apparently, the highest vote-getter in each wOBA vary polls was .320-.339. Though Group A’s xwOBA was considerably beneath their wOBA and vice versa for Group B, there will need to have been some feeling that the hole in xwOBA and wOBA wasn’t completely luck and that the 2 teams would converge to put up comparatively related marks the remainder of the best way…although with Group B ending up on high given the results of the primary ballot.

The second highest vote-getter makes a bit extra sense. Since Group A’s xwOBA was simply .301 within the first half, about 34% of voters went with the .300-.319 2nd half wOBA vary, suggesting luck would meet up with them and their precise outcomes would begin to mirror their anticipated. Equally, the .340-.359 wOBA vary was the second main vote-getter for Group B, which follows their .347 1st half xwOBA. However right here, the third most often voted vary was .300-.319, and it garnered a a lot greater p.c of the votes than the third vary in Group A, suggesting some voters weren’t completely positive whether or not it was simply unhealthy luck afflicting Group B or an absence of expertise not being correctly accounted for in xwOBA.

Now on to the second half outcomes:

Group A – The xwOBA Overperformers

Participant
BA    
xBA    
SLG
xSLG
wOBA
xwOBA
Diff

Josh Smith
0.215
0.247
0.300
0.470
0.249
0.341
-0.092

Steven Kwan
0.206
0.249
0.302
0.356
0.284
0.319
-0.035

Ezequiel Tovar
0.261
0.243
0.479
0.444
0.321
0.309
0.012

Isaac Paredes
0.202
0.230
0.291
0.320
0.282
0.306
-0.024

Daulton Varsho
0.233
0.204
0.411
0.349
0.314
0.279
0.035

Jeimer Candelario
0.173
0.213
0.327
0.357
0.236
0.266
-0.030

José Ramírez
0.291
0.274
0.566
0.482
0.380
0.348
0.032

Jose Altuve
0.277
0.221
0.405
0.350
0.329
0.289
0.040

Masyn Winn
0.247
0.259
0.427
0.393
0.310
0.305
0.005

Ceddanne Rafaela
0.250
0.271
0.349
0.370
0.276
0.304
-0.028

Group Common
0.242
0.245
0.396
0.395
0.305
0.311
-0.006

League Common
0.244
0.243
0.403
0.401
0.311
0.312
-0.001

Group B – The xwOBA Underperformers

Participant
BA    
xBA    
SLG
xSLG
wOBA
xwOBA
Diff

Christopher Morel
0.186
0.188
0.273
0.300
0.240
0.253
-0.013

Dansby Swanson
0.281
0.247
0.443
0.422
0.344
0.324
0.020

Taylor Ward
0.272
0.262
0.461
0.452
0.345
0.345
0.000

Bo Bichette
0.375
0.216
0.375
0.254
0.331
0.206
0.125

Fernando Tatis Jr.
0.267
0.288
0.578
0.557
0.366
0.368
-0.002

George Springer
0.213
0.214
0.366
0.372
0.293
0.295
-0.002

Paul Goldschmidt
0.271
0.267
0.480
0.490
0.340
0.343
-0.003

Julio Rodríguez
0.285
0.278
0.482
0.499
0.350
0.355
-0.005

Shea Langeliers
0.241
0.245
0.472
0.443
0.341
0.333
0.008

Francisco Lindor
0.306
0.298
0.574
0.572
0.402
0.396
0.006

Group Common
0.261
0.254
0.456
0.453
0.337
0.334
0.002

League Common
0.244
0.243
0.403
0.401
0.311
0.312
-0.001

Group Averages Comparability

Group
BA    
xBA    
SLG
xSLG
wOBA
xwOBA
Diff

A
0.242
0.245
0.396
0.395
0.305
0.311
-0.006

B
0.261
0.254
0.456
0.453
0.337
0.334
0.002

League Common
0.244
0.243
0.403
0.401
0.311
0.312
-0.001

Let’s begin with the solutions to the ballot questions. Group A’s wOBA plunged to simply above their 1st half xwOBA. Whereas xwOBA will not be meant to be predictive, it positive did a great job predicting future efficiency for this group! Because of this, the group posted a meaningfully decrease second half wOBA than Group B, who loved a pleasant rebound, although fell a bit in need of their first half xwOBA.

Additionally notice how shut the 2 teams completed to their mixture xwOBA this time. And this time, the luck was reversed! Group A really underperformed their xwOBA, although solely marginally, whereas Group B overperformed their xwOBA, albeit solely barely. So if there had been any semblance of thought that xwOBA was failing to seize one thing these two teams had been or weren’t doing within the first half, the second half numbers squash these emotions.

Group A’s wOBA completed within the second most voted on vary, whereas Group B’s completed within the highest vote-getting vary. So this 12 months, the voters went two for 3, after a 3 for 3 sweep in final 12 months’s hitter ballot.

Now let’s speak particular hitters, starting with the overperformers. One of the crucial stunning first half hitters was Josh Smith, who posted a .379 wOBA, main the xwOBA overperformers. He then seemingly forgot the way to hit in a single day, as his wOBA plummeted to simply .249 over the second half. Or did he overlook the way to hit? His second half xwOBA was really greater than his first half mark, however the hits simply weren’t falling like they did over the primary half. That’s simply how girl luck works.

Since I didn’t personal Steven Kwan, I had no concept how far he fell within the second half. Since he owns restricted energy and ran much less this 12 months, he must hit a minimum of like .280 to ship fantasy worth, which is all the time dangerous to financial institution on given the variance in BABIP.

Ezequiel Tovar really improved his expertise within the second half sufficient in order that despite the fact that his wOBA did decline, it solely did so marginally and his xwOBA rose to scale back the hole between the 2 considerably. I’m additionally by no means positive how a lot Coors Area messes with these xwOBA charges.

Within the first half, Isaac Paredes continued overperforming like he did all of final 12 months. All of it got here crashing down within the second half, as his xwOBA remained almost similar, however the hits weren’t falling in and the ability disappeared. I really like the plate self-discipline expertise right here and his fly ball tendency, however his uncooked energy merely wants to enhance, as counting on a ton of pulled flies isn’t a sustainable technique.

José Ramírez stated screw regression and loved a monster second half, overperforming his xwOBA by almost the identical diploma as within the first half. He hasn’t been a constant xwOBA overperformer although, so I’d be a bit cautious about his worth subsequent 12 months coming off the perfect fantasy season of his profession.

Now let’s transfer on to the underperformers. The primary half’s main underperformer was Christopher Morel, who was brutal within the second half. It wasn’t solely the outcomes, however his xwOBA plunged to simply .253 as nicely. The Rays acquired only a .243 wOBA from him and a .098 ISO. I don’t suppose that’s what they had been anticipating.

Dansby Swanson was surprisingly terrible throughout the first half, however he picked it up and returned to regular within the second half. Because of a profession excessive 19 steals, he nonetheless ended up delivering related fantasy worth as 2023.

What the heck can we make of Bo Bichette subsequent 12 months?! He acquired off to a horrible begin after which ended up recording simply 336 PAs resulting from harm. Although he underperformed his xwOBA, even that mark was nicely beneath expectations at simply .302. He positively had some unhealthy BABIP luck, but it surely’s the ability that went M.I.A. His Barrel% was greater than reduce in half, regardless of HardHit% and maxEV marks roughly in step with historical past, driving a HR/FB charge decline to simply 5.3%. Since he doesn’t steal bases anymore, he wants that 20+ house run energy to return to one of many higher fantasy shortstops. He’ll solely be 27 subsequent 12 months, so it could be foolish to surrender on him. I’ve a sense I’ll personal him in a number of leagues.

After a 32 homer and 37 steal season throughout his sophomore marketing campaign, Julio Rodríguez was a high 10 choose in fantasy leagues this 12 months. So it was a shock when he acquired off to such a sluggish begin. He finally salvaged his season by posting a .350 second half wOBA, although his season numbers nonetheless missed expectations. The robust second half will possible guarantee there’s barely a reduction subsequent 12 months, if any.

With a .341 first half wOBA, there was no actual rebound we anticipated from Francisco Lindor, as that mark was proper in step with his profession. However he underperformed his xwOBA, which steered that if he maintained these expertise, an enormous second half might be within the playing cards. Positive sufficient, that massive second half did certainly manifest, as he posted a .402 wOBA, and even upped his xwOBA to almost meet that efficiency. He ended up posting his highest HardHit% and Barrel% of his profession.



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