Bonus Predictions: Shane Bieber and Orlando Arcia

I did not pack quite enough boldness into my Bold Predictions column, so I am branching out into a second column. This time around, I’ve got fewer predictions but I’m going more in-depth for these final ones.

I could just go with the short versions for my final two predictions: I’m not a Belieber, and it could be a new dawn for Orlando Arcia. But I’ll explain why I’m bearish on a top 40 starting pitcher in ADP but intrigued by a shortstop being drafted outside the top 400.

Prediction: Shane Bieber will get dropped in more than half of the 12-team mixed leagues in which he is drafted.

So if you read my initial Bold Predictions piece, you know that I argued that Anibal Sanchez showed an ability to be an extremely good preventer of hits on balls in play last season. He was so adept at getting weak ground ball contact that, even with some regression, I expect him to have yet another BABIP that is much lower than average. If I can give credit to Sanchez for being good at avoiding hits on balls in play, shouldn’t I also give credit to Bieber for being a liability in this regard?

Whereas Sanchez consistently located both his changeup (.202 BABIP) and cutter (.240 BABIP) on the lower edge of the strike zone, Bieber often left his fastball right in the center of the zone. Of pitchers who threw at least 1500 pitches overall last season, only Rich Hill and Nathan Eovaldi left a higher percentage of their offerings in the heart of the zone than Bieber did (per Bill Petti’s Edge% tool).

Statistically, Bieber was the anti-Anibal. While Sanchez was inducing all kinds of soft grounders, Bieber was compiling the 10th-highest average exit velocity on ground balls (86.8 mph) among the 139 pitchers who allowed at least 300 batted balls last season. These were generally not easily-fielded pulled grounders either. Of 113 pitchers who allowed 150 or more ground balls, Bieber’s pulled grounder rate (49.1 percent) was the 14th-lowest.

As a rookie, Bieber assembled a profile of a pitcher who is going to give up more than the normal share of hits on balls in play, but as a sophomore who will turn 24 in May, he could be due to improve. That doesn’t mean he’s a lock to improve. No rookie starter in this decade (min. 100 innings) has come within 17 points of Bieber’s .356 BABIP, so there are no ideal comparables, but if we look at the next eight pitchers in the rankings (excluding rookies from last season), the picture is not all that encouraging.

Highest Rookie BABIPs for Starters, 2010-2017
Pitcher Rookie Season Rookie BABIP Sophomore BABIP
Archie Bradley 2016 0.338 Moved to bullpen
T.J. House 2014 0.336 0.392
Nick Pivetta 2017 0.332 0.326
Danny Duffy 2011 0.329 0.329
Sean Newcomb 2017 0.327 0.273
Jon Niese 2010 0.324 0.333
Michael Lorenzen 2015 0.322 Moved to bullpen
Tyler Chatwood 2011 0.323 0.308
Minimum 100 innings in rookie season. House and Duffy pitched fewer than 30 innings in their sophomore seasons.

While these data are not conclusive (and we should take the stats from House’s and Duffy’s small sophomore year samples with a huge grain of salt), they also raise a caution flag for any of us who are tempted to just assume BABIP regression is on the way. None of the projections published here on FanGraphs for Bieber have him pegged for a BABIP above .322, and only ZIPS has him projected for 160-plus innings. If Bieber does not have massive regression from last season’s BABIP, he is at risk of posting a 4.00-plus ERA and a WHIP in the vicinity of 1.25. It’s hard to see how he is a top-60 starter if that happens.

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Prediction: Orlando Arcia will have more Roto value than Eduardo Escobar.

This prediction is not a reaction to Arcia’s red-hot 2018 postseason. That would be silly. It’s in response to his postseason and his strong September, during which he batted .329 with eight doubles.

I realize that sounds just as ridiculous, but it’s not so much that I think Arcia showed he can take the next step in his power hitting or proved himself to be an entirely different player. Those final weeks of his 2018 season, however, can serve as a reminder of the player Arcia seemed to be developing into just two seasons ago. In 2017, he was a steal shy of a 15-15 season, and in being above-average in making contact and getting hits on balls in play, he batted .277.

As an all-fields hitter with decent speed, there is no reason why Arcia couldn’t hit .280 or higher in 2019, particularly if he carries over some of the improvement in his strikeout rate from last September and October (13.8 percent). If he can simply manage a dozen homers and steals apiece, that should give him more value in 5×5 Roto leagues than Escobar, who doesn’t run much and is due for some batting average regression after putting up his highest line drive rate for a full season (24.8 percent).

As of this writing, Escobar has the 18th-highest ADP among shortstops on FantasyPros (173.0). Unless you need home runs more than stolen bases, why use a pick on a shortstop or middle infielder that early in the draft, when you can draft Arcia practically at will (444.0 ADP)? Granted, it is something of a gamble to forego Escobar for Arcia when you can’t be sure that Arcia won’t revert back to a higher strikeout rate or a lower BABIP. We should also remember that Arcia is 24 this season, and he could improve to the point where he would be notably better than he was in 2017. The late rounds are a good time to take risks, and gambling on Arcia could conceivably mean yielding the upside of a .290 hitter with home run and stolen base totals in the upper teens.





Al Melchior has been writing about Fantasy baseball and sim games since 2000, and his work has appeared at CBSSports.com, BaseballHQ, Ron Shandler's Baseball Forecaster and FanRagSports. He has also participated in Tout Wars' mixed auction league since 2013. You can follow Al on Twitter @almelchiorbb and find more of his work at almelchior.com.

19 Comments
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feslenraster
7 years ago

Agreed about Bieber, don’t get the love for a soft tosser with no decent mixes of pitches.

Dan GreerMember since 2018
7 years ago
Reply to  feslenraster

His average fastball was over 93 mph, so I don’t think you can call him a soft-tosser. He certainly needs to show better command of it, however.

carterMember since 2020
7 years ago

I wouldn’t say a pitcher who is drafted in the 12-15th round in 12 team being dropped in half of the leagues is a bold prediction. Actually I would say that means you are actually a high man on Bieber, since on average more than half (closer to 80%) of pitchers drafted that late get dropped at one point or another.

Baller McCheeseMember since 2016
7 years ago

The Edge% Tool is pretty neat…. I don’t quite know how to read it though. When sorting by Heart% there are some really good pitchers around Bieber. He’s closer to Severino, G. Cole and Paxton than he is to Eovaldi. And when you drop it down to 1000 pitch min. some of the top relievers are in there too. I don’t want to say “why is throwing the ball down the heart of the plate bad?”; but, like, if it’s so bad, why do so many good pitchers do it so much? And if the answer is that they can do it and still get good results, then couldn’t that apply to Bieber as well?

Edit: After looking into Bieber a little more than I had previously, his season wasn’t as “good” as I thought it was. Hmmm… I might be off the hype train now.

HappyFunBallMember since 2019
7 years ago

The problem is that Bieber might not have the stuff to live out over the plate like that. 99 down the middle can get swings and misses. Lower 90s gets you a sore neck.

Jordan RosenblumFanGraphs Staff
7 years ago

This post can be more reasonably read as an excellent argument on just how unlucky Bieber was last year–historically so! Accordingly, moving up him in my ranks.

Jordan RosenblumFanGraphs Staff
7 years ago

None of the other pitchers showed the same underlying k-bb-gb skills in their rookie season (or in the minors) as Bieber did in 2018 (across the minors and majors). Pivetta is an exception but he’s also a prime, obvious bounce-back candidate this year (but Pivetta is less of a sure bet because he lacks Bieber’s minor league track record).

Plus baseball prospectus’ 2018 research showed how useless expected statistics are for predicting future performance for pitchers.

https://www.baseballprospectus.com/news/article/40026/prospectus-feature-siren-song-statcasts-expected-metrics/

MerlMember since 2018
7 years ago

Love this just in time for everyone to jump off Bieber and have his ADP fall.
Al is the same dude that thinks Soto won’t hit more than 23HRs because: “his GB-rate”. LOL

jcutigerMember since 2020
7 years ago
Reply to  Merl

Well, Soto did have a 54% GB rate and 25% HR/FB rate. Not sure that he HR/FB rate is sustainable, so if his GB rate doesn’t fall then it’s reasonable to think 23 HRs is a decent projection.

J.D. MartinMember since 2020
7 years ago
Reply to  jcutiger

Podhorzer’s research indicates Soto deserved most of that 25% HR/FB rate. He obviously has elite barrel control so I wouldn’t at all be surprised if he started cutting out grounders moving forward either. It’s scary to think about how he could improve but the grounder rate is the most obvious area.

https://fantasy.fangraphs.com/2018-hr-fb-rate-positive-validations-using-xhr-fb/

jcutigerMember since 2020
7 years ago
Reply to  J.D. Martin

Not going to argue that. Just saying that a projection 23 HRs isn’t an outrageous projection. BP is projecting 23 HRs too, guess they are a bunch of dumbasses too (not directed to JDMartin).

J.D. MartinMember since 2020
7 years ago
Reply to  jcutiger

I agree with you for the most part; I think a lot of people are understating the Soto power number risk this year due to the groundball tilt. Any bad HR/FB luck will have a larger effect on his homer numbers than if he was more fly ball oriented.

Obviously long term/in any league factoring in OBP he’s a super stud but at least for this year I think being conservative with the HR numbers is perfectly reasonable.

AnonMember since 2020
7 years ago

So, of the 6 rookies who didn’t go to the bullpen we have 3 whose BABIP declined, 1 stayed the same, 1 increased a little and 1 increased a lot. Except the guy whose increased a lot (House) pitched 13 innings that next season. Throw him and Duffy (29 IP the next season) out and you have 3 who declined and 1 who went up a little. Average decline was about 16 points of BABIP.

But why limit it to just rookies? I pulled all qualified starters since 2010. I don’t have the tools to perform a thorough Year1/Year 2 analysis but just looking at a few:
– Robbie Ray – .351 in 2016, .267 in 2017 and .292 in 2018
– Clayton Richard – .351 in 2017, .289 in 2018
– Rick Porcello – .344 in 2012, then .315, .298, .332, .269, .324, .285
– James Shields – .341 in 2010, then .258, .292, .298, .295, .299, .302, .270, .262

I mean, that looks to me a whole lot like BABIP regressing to the mean.

Jordan RosenblumFanGraphs Staff
7 years ago
Reply to  Anon

Good stuff

AnonMember since 2020
7 years ago
Reply to  Anon

I was going to add but forgot – James Shields just put up back to back years with FIPs over 5.00 and ERAs of 5.23 and 4.53 even though he was BABIP lucky. LOL

OddBall Herrera
7 years ago

Funny thing about Bieber is that early career Kluber had just the same ‘hittable in the zone’ issue. He had a couple of years of nasty BABIP numbers until he figured something out. Bieber seems very similar.

I would be curious to know just how sticky heart and edge % are, seems like the kind of thing you could fix really quickly by moving a few inches over on the rubber

AnonMember since 2020
7 years ago

Bieber with 5 no-hit IP yesterday. Granted, it was the Rockies B-team (no Arenado/Blackmon/Story) but still. Up to 17 K against 2 BB in 14 IP thus far.

B-ref’s spring stats don’t have ROE but it looks like 3 hits against the 28 batters who didn’t K or BB for a .107 BABIP 🙂

ArmadilloFury
7 years ago

Bieber pitched well last year according to FIP (3.23), xFIP (3.30), SIERA (3.45), xWOBA (.312). The 0.356 BABIP was undeserved. If you scroll the edge % leaderboards, the list of leaders in heart% is a lot more impressive than the leaders in edge % or the laggards in heart%. I wonder if anyone has done a study to see how predictive heart% or edge % is of next season’s ERA. I doubt it would be more predictive than FIP or xFIP.