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One Last Refresher (On Strikeouts and Walks)

This is the last of a set of articles I’ve written over the past few weeks. Each one tries to determine what’s real and what’s noise when it comes to the outcome of a plate appearance. For the batted ball articles, the conclusions generally tracked. Variations in home run rate are largely due to the batter. Pitchers and batters both show skill in groundball rate. And line drives and popups are somewhere in between — batters exhibit a little more persistence in variation than pitchers, though neither does so strongly.

Strikeouts and walks are a different beast. It’s pretty clear that pitchers and batters can be good or bad at them. No one looks at Chris Davis or Tyler O’Neill and thinks “eh, that’s pretty unlucky to have all those strikeouts, I bet they’re average at it overall.” Likewise, Josh Hader isn’t just preternaturally lucky — he’s good at striking batters out.

So rather than attempt to prove that pitchers can be good or bad at striking out batters and vice versa, I’m interested in whether one side has the upper hand. I’m adapting a method laid out by Tom Tango here, but I’ll also repeat the same methodology I used in the previous pieces in this series. Read the rest of this entry »


The 2020 ZiPS Projections are Live!

The ZiPS projections for the 2020 season are now live for your perusal and condemnation. The 2021 and 2022 projections are also up, or at least imminent by the time you read this.

The same caveats from the team projections apply. There is a lot more detail at this link which will hopefully address many of your questions on why the projections exist and what they attempt to do.

ZiPS is not a playing time projector, by design. While the ZiPS projections are rejiggered in many contexts to conform with the depth chart playing time, the computer itself doesn’t have any insight into specific roster decisions as that’s not something computer projections have much to offer there. On a generalized level, ZiPS can — and does — know that older players get injured and that play below a specific threshold will typically result in lost playing time, but there are a lot of things it doesn’t know and can’t know. How will the Cincinnati Reds shuffle their outfield? How much rope does Jurickson Profar have if he again has a shockingly low BABIP in a year the Padres hope to become contenders? How threatening is Wilmer Flores to Mauricio Dubón’s playing time? Read the rest of this entry »


We Might Be Underestimating The Blue Jays

It’s difficult to predict that a team will go from a losing record to reaching the postseason in any given season without sounding like a contrarian or someone who’s trying too hard, but in baseball, it’s a legitimately prudent exercise. Every year since 2006 has produced at least one playoff team that finished with a record under .500 in the previous season. Odds are good that it will happen to somebody this year too, and if you’re guessing who it will be, there are no shortage of options to choose from. The Angels have beefed up their lineup. The White Sox are pushing their chips in. The Reds are something close to favorites in a weak NL Central. The Padres fancy themselves close as well. If you’re looking for a good old-fashioned comeback story to cheer for in 2020, you can take your pick. My personal favorite might be the Toronto Blue Jays.

The Blue Jays are rarely mentioned in the same breath as the teams listed above, but they share something in common with each of them. Like Los Angeles, they overhauled a major portion of the roster. Like Cincinnati, they improved their team in a division that mostly either stood pat or took a step back. And like Chicago and San Diego, they enter this season with a boatload of young players who are excellent candidates to break out. But when you think of teams who might suddenly contend this season, Toronto probably doesn’t come to mind, and for good reason. Our Depth Charts project them to be 21st in team WAR in 2020, and Baseball Prospectus’ PECOTA projections have them at just 76 wins and a 3% chance of making the postseason. Depending upon how you look at things, the Blue Jays are probably somewhere between the ninth and 11th-best team in the American League on paper, either at the bottom of baseball’s middle class or the top of its lower class.

Recent performance backs that up, of course. By WAR, they had just the 20th-most valuable position player group in baseball last year and the 21st-most valuable pitching staff. Their record was 67-95 in their third-straight losing season, their worst since 1995. Playing in a division with three solidly above-average teams and fighting through a crowded Wild Card field won’t be an easy task, so I’m not going to try to convince you that Toronto is a playoff team. What I’d merely like to convince you of is that the 2020 Blue Jays are a completely different team from the 2019 squad, and they ought to be dramatically better as a result.

We’ll start with the pitching staff, since that is where the Blue Jays devoted so many resources this winter. Toronto starters were dreadful in 2019, amassing just 7.2 WAR. Marcus Stroman and Aaron Sanchez accounted for four of those wins, and those two throw baseballs for different teams now. Twenty-one pitchers made starts for the Blue Jays in total in 2019, a reflection of just how little stability the organization had on that front.

This year should be better, to say the least. The team signed Hyun-Jin Ryu and Tanner Roark to multi-year deals while also bringing in Shun Yamaguchi from Japan on a two-year contract. Throw in the acquisition of Chase Anderson from Milwaukee and that’s three new starters who compiled a total of 8 WAR in 2019 plus a 32-year-old who is coming off 181 innings, 194 strikeouts, 64 walks, and a 2.78 ERA for the Yomiuri Giants. As for the No. 5 starter, the most likely option is Matt Shoemaker, who made just five starts for Toronto last season after returning from injury. If things go according to plan, none of the Blue Jays’ top five starters by innings pitched in 2019 will crack this year’s Opening Day rotation.

Toronto’s Most-Used Starters, 2019
Name IP ERA FIP K/9 BB/9 HR/9 WAR
Trent Thornton 139.1 5.04 4.80 8.7 3.8 1.5 1.6
Marcus Stroman 124.2 2.96 3.51 7.2 2.5 0.7 3.0
Aaron Sanchez 112.2 6.07 5.02 7.9 4.7 1.2 1.0
Jacob Waguespack 65.1 4.13 4.81 6.9 3.4 1.2 0.7
Clay Buchholz 59.0 6.56 5.62 6.0 2.4 2.0 0.1
RosterResource Projected TOR rotation, 2020
Name IP ERA FIP K/9 BB/9 HR/9 WAR
Hyun-Jin Ryu 182.2 2.32 3.10 8.0 1.2 0.8 4.8
Chase Anderson 139 4.21 4.83 8.0 3.2 1.5 1.2
Tanner Roark 165.1 4.35 4.67 8.6 2.8 1.5 2
Matt Shoemaker 28.2 1.57 3.95 7.5 2.8 0.9 0.6
Shun Yamaguchi* 181 2.78 N/A 9.6 3.2 0.4 N/A
*Pitched season in NPB

Are there still potential issues here? Absolutely. Projections do not like the top four starters, injuries have limited Shoemaker to just 26 starts over the last three seasons combined, and we have no idea how the transition to major league baseball will go for Yamaguchi. But the Blue Jays still have Thornton and Waguespack in the organization, whose peripherals were roughly league average last season, and guys like Wilmer Font and Sean Reid-Foley offer upside as well. Toronto also has Nate Pearson, who Eric Longenhagen ranked as the top right-handed pitching prospect in baseball, just one level away from the majors. There are a number of things that could go wrong for this rotation, but there is no doubt that the depth in place entering 2020 far exceeds what this team could offer a year ago.

And if the Blue Jays wind up turning heads this season, it won’t be because of their pitching staff, anyway. It’ll be because of the offense, which boasts one of the most exciting groups of young players on any team in baseball. According to Eric and Kiley, Toronto entered 2019 with the No. 1 (Vladimir Guerrero Jr.), No. 9 (Bo Bichette), and No. 47 (Danny Jansen) prospects in the majors. Then Cavan Biggio and Lourdes Gurriel Jr. each broke out. This is now the Blue Jays’ core, and it’s a good one.

“Core” Blue Jays’ 2019 stats
Name Age PAs AVG OBP SLG wRC+ Def WAR
Cavan Biggio 24 430 0.234 0.364 0.429 114 -2.7 2.4
Lourdes Gurriel Jr. 25 343 0.277 0.327 0.541 122 -4.7 1.8
Bo Bichette 21 212 0.311 0.358 0.571 142 0.2 1.7
Danny Jansen 24 384 0.207 0.279 0.360 68 17 1.4
Vladimir Guerrero Jr. 20 514 0.272 0.339 0.433 105 -10.6 0.4

My logic for singling out these five players is that they are all in their early-to-mid 20s, debuted in the past two seasons, and were all highly regarded as prospects just before their debuts. Toronto would love to get great seasons out of Randal Grichuk or Teoscar Hernández or Rowdy Tellez, but those aren’t the players that the franchise is relying upon to carry it for the next several seasons. These five are, and the early returns from them have been promising.

You might be thinking something along the lines of, so what? These guys all logged hundreds of plate appearances last year, and it still wasn’t enough to move the Blue Jays from finishing in the bottom third of the AL in wRC+. After how much fanfare surrounded the debut of Vlad Jr. and how quickly Biggio and Bichette succeeded, when you look back on the 2019 season, it might seem to you like these guys spent the majority of the season batting in the same lineup — at least, that’s the way I remembered it. But while it’s true that all of these players individually amassed nearly a half or whole seasons worth of playing time, the truth is that only a fraction of Blue Jays games featured all or most of these players making an appearance. I went through each game of Toronto’s 2019 season and counted how many of these five players appeared in each one. This is how that playing time distributed itself:

There were just six games last year in which all five of Vlad Jr., Bichette, Biggio, Gurriel Jr., and Jansen made an appearance and just 51 games in which four of them did. Put another way, the Blue Jays played 105 games in 2019 — almost 65% of the season — without at least two of these very important players. This was surprising to me given how much each of these players played on their own, but for various reasons, playing time never coalesced. Vlad Jr. wasn’t called up until late April, Biggio wasn’t called up until mid-May, and Bichette was in the minors until late July. Gurriel Jr., meanwhile, spent five weeks early in the season ironing things out in Triple-A and then missed more time with an injury in the second half.

This is significant because, barring multiple catastrophes, Toronto is certainly planning to play more than just a third of its season with at least four of these players in the starting lineup in 2020. According to our RosterResource, each of these players is expected to have a starting role with the exception of Jansen, who should get a fairly even split of catching duties alongside Reese McGuire. Like the rotation, there’s a very good chance the lineup that Blue Jays fans see throughout 2020 looks totally different than what they saw for most of last year.

It’s also significant because when these young players did get the chance to play together, the difference in production was enormous. While tracking how many of these players took part in each game, I also logged how many runs Toronto scored, how many runs it allowed, and whether it won or lost. Here’s what I found:

Blue Jays’ Team Performance By No. of Core Players Appearing
No. of Players Appeared Games RS per game RA per game W-L
4-5 57 5.84 4.84 31-26
2-3 80 3.84 5.44 25-55
0-1 25 3.52 4.08 14-16
Season Average 162 4.48 5.11 67-95

When at least four of Vlad, Bo, Biggio, Gurriel Jr., and Jansen were active, the Blue Jays raised their average run production by nearly one and a half runs and won more games than they lost despite the average pitching performance being close to what it was for the season. And 57 games is not that small of a sample size for something like this — if a team were 31-26 at the end of May and scoring nearly six runs per game, we would at the very least take them seriously. If that team then went out and added four starting pitchers at the start of June, we would almost certainly think of them as contenders.

Is that a perfectly rational way to think of this Blue Jays team? Perhaps not. After all, there are still plenty of holes here. The outfield is in bad shape, as is first base. Vlad Jr.’s defense was as awful as advertised, and a 21-year-old DH is a tough pill to swallow, regardless of how well he hits. The bullpen is probably trouble. And the position player depth is concerning enough that a couple of injuries could spell disaster. There is no shortage of ways in which this can all fall apart.

But it isn’t difficult for me to see a universe in which enough things go right. Vlad Jr. should be better; a full season of star-level production from him or Bichette wouldn’t shatter our understanding of baseball as we know it. Jansen, a bat-first prospect in the minors, shouldn’t be over 30% worse than the average hitter again. Nobody would be shocked to see Biggio or Gurriel Jr. repeat something similar to last year’s production, nor would they be blown away to see a bounce-back season from Grichuk or Travis Shaw, each of whom had been plenty reliable for several consecutive seasons before falling off a cliff in 2019. The rotation is full of workhorse-like arms capable of average-ish production over the course of a season, and Ken Giles is one of the better options a team could hope to have closing games.

It probably won’t be enough. The Yankees are a fire tornado, the Rays are great, and the Red Sox are still pretty good, too. The Angels can hit better than Toronto, the Indians can pitch better than Toronto, and the White Sox are about to roll out a youth showcase for the ages. Conventional wisdom says the Blue Jays shouldn’t be able to keep up with any of these teams. But that’s the thing about surprise contenders: You’re not supposed to see them coming.


Minor Leaguers To Be Paid More, Not Enough

Last Friday, Jake Seiner and Ben Walker of the Associated Press reported that Major League Baseball has opted to raise minor league player pay to, at minimum, $4,800 dollars a year. As usual, the change was announced unilaterally: minor league players are not unionized and cannot help but accept this compensation. Specifically, MLB decided to set minimum pay levels (not including spring training, which is unpaid, and not starting until the 2021 season) at:

  • $400/week ($4,800 for a three-month season) for Rookie or short-season (up from $290/$3,480)
  • $500/week ($10,000 for a five-month season) for Class A (up from $290/$5,800)
  • $600/week ($12,000 for a five-month season) for Double-A (up from $350/$7,000)
  • $700/week ($14,000 for a five-month season) for Triple-A (up from $502/$10,040)

Assuming that players work an eight-hour workday five days a week (which is an assumption you’d make only if you both knew nothing about how long minor leaguers work and also were feeling extremely generous towards the league), the new pay scale works out to an hourly minimum wage of $10, $12.50, $15, and $17.50, respectively. Assuming even 50 hours a week puts everybody below $15 an hour; 60 hours a week puts everyone below $12. And all of the scenarios assume either that players are independently wealthy or that they’ll fit their year-round conditioning and training in around finding some other way to make money seven or nine months out of the year. Read the rest of this entry »


ZiPS Top 100 Prospects

Since 2014, I’ve cranked out the career numbers for every significant prospect, regardless of whether they’ve reached the level of the minors that would normally justify an official projection. After a one-year hiatus, those projections, more commonly known as the ZiPS Top 100 Prospects list, return for their FanGraphs debut. If you’re unaware of what ZiPS projections are and the purpose they serve, please consult this article and this article while I reconsider my public relations strategy.

These projections are not a replacement for scouting. Projection systems are very clever, and a smart analyst can figure out a lot of ways to approach some of the thornier data questions that emerge over 15 years of prognostication (as for me, I’ve muddled by). But they can’t capture everything and the farther down the minor league ladder you go, the worse the data gets and the shorter the players’ histories become. That’s why I usually need a compelling reason to create a yearly projection for a hitter with no High-A experience or a pitcher who has yet to make a Double-A appearance. ZiPS can use college data, but I prefer to avoid it. And ZiPS does not use high school data, as that would be preposterous. Without college stats or a major international league, ZiPS literally has nothing to go on for a player without minor league experience. So if you’re wondering why Jasson Dominguez is missing from the list, it’s not that he’s a lousy prospect, it’s just that ZiPS doesn’t have anything useful to say about him yet.

One of the biggest differences between ZiPS and most other prospect lists is that, given the uncertainty surrounding any prospect’s future performance, ZiPS projections tend to give higher career WAR forecasts to lower-risk, lower-ceiling players in the high minors. So ZiPS has historically given higher grades to prospects like Steven Matz, Kolten Wong, and Marcus Semien, though it turned out his ceiling was quite high, than any other prospect lists did. Some of the successes — players who ranked higher on the ZiPS list than any other I found — include Ozzie Albies (No. 49, pre-2015), Mookie Betts (No. 26, pre-2014), Trea Turner (No. 11, pre-2016), and Joc Pederson (No. 2, pre-2015). Naturally, there have been some dismal busts too, just like any prospect list, the worst possibly being the year ZiPS had Arismendy Alcantara ranked 13th. Whoops. Read the rest of this entry »


Sunday Notes: Twins Prospect Royce Lewis Has a Cacophonous Swing and a Sky-High Ceiling

The swing is noisy and needs refining, but Lewis has the physical ability for superstardom.

That line, written by Eric Longenhagen, led Royce Lewis’s writeup in our 2020 Top 100 Prospects rankings, which were published earlier this week. Both halves of the sentence are intriguing. While the first is potentially a red flag, the second is indicative of a blue-chip up-and-comer with a sky-high ceiling. Selected first overall by the Minnesota Twins in the 2017 draft out of a San Juan Capistrano high school, Lewis holds down the No. 13 slot on Longenhagen’s list.

Alex Hassan isn’t all that concerned with the 20-year-old shortstop’s swing. According to the Minnesota farm director, the underlying characteristics are what really matter. Lewis possesses plus bat speed, a good bat path, and “when he makes contact, he does a lot of damage.”

While nothing is actually broken, Lewis isn’t exactly quiet in the box.

“There are some characteristics that are unique to Royce,” said Hassan. “What’s interesting is that leg-kick piece. Last year, I went back and looked at some of his GCL video from right after he signed, and there are plenty of pitches where his leg kick goes right up to his belt, and he executes his swing from there. It’s something he’s tinkered with. It can be a big leg kick, somewhat of a medium leg kick, and at times he’ll try to get his foot down a little earlier. But the kick has been there since he came into the system. It’s simply a feature of Royce, as opposed to some kind of bug that’s popped up.”

Hassen espouses an if-it-ain’t-broke-fix-it approach, but at the same time he recognizes that excessive movement can be deleterious to a hitter’s ability to consistently square up baseballs. He’s seen Lewis make strides toward. Moreover, he’s seen them made cautiously, and without undue urging. Read the rest of this entry »


The Hypothetical Value of an Ideal, Frictionless Banging Scheme

The Astros cheated. That’s not in dispute. The search for just how much the banging scheme helped the team, however, is ongoing. Rob Arthur got the party started. Tony Adams chronicled the bangs. Here at FanGraphs, Jake Mailhot examined how much the Astros benefited, which players were helped most, and even how the banging scheme performed in clutch situations. In a recent press conference, owner Jim Crane downplayed the benefit, saying “It’s hard to determine how it impacted the game, if it impacted the game, and that’s where we’re going to leave it.” It’s a rich literature, and not just because it’s fun to write “banging scheme” — but I didn’t want to leave it there.

I thought I’d take a different tack. All of these studies are based on reality, and reality has one huge problem: it’s so maddeningly imprecise. You can’t know if we captured all the right bangs. You can’t know if the system changed, or if it had details or mechanisms we didn’t quite understand or know about. And even when everything is captured right, those sample sizes, those damn sample sizes, are never quite what you need to feel confident in their results.

If we simply ignore what actually happened and create our own world, we can skip all that grubby, confusing reality. Imagine, if you will, a player who makes perfectly average swing decisions and achieves perfectly average results on those decisions.

Let’s further stipulate, while we’re far off into imaginary land, that pitchers attack our perfectly average batter in a perfectly average way. For each count, they’ll throw a league average number of fastballs, and those fastballs will be in the strike zone at — you guessed it — a league average rate. The same is true for all other pitches — with cut fastballs included in “all other pitches” in this analysis. Read the rest of this entry »


Picks to Click: Who I Expect to Make the 2021 Top 100

When publishing prospect lists — in particular, the top 100 — I am frequently asked who, among the players excluded from this year’s version, might have the best chance of appearing on next year’s version. Whose stock am I buying? This post represents my best attempt to answer all of those questions at once.

This is the third year of this exercise, and last year Kiley and I instituted some rules. First, none of the players you see below will have ever been a 50 FV or better in any of our write-ups or rankings. So while I think Corbin Martin will return from Tommy John and become a 50 FV again later next year, I’m not allowed to include him here (although I just sorta did). The second rule is that I am forbidden from using players who have ever been on this list before, which means no Gilberto Celestino (on the list two years ago) or Lenny Torres (who was on last year’s) even though they might soon be 50s. McDaniel and I were right about 18 of the 63 players we picked the first year, about a 29% hit rate, and we were right about 16 of the 55 players on last year’s list, which is also 29%. Two years still isn’t long enough to know whether that’s good or not, but it does appear as though a baseline is being established.

At the end of the piece, I have a list of potential high-leverage relievers who might debut this year, because readers seem to dig that category. These are not part of the 50+ FV forecasting; it’s just a way to point an arrow at guys I like who might have real big league impact in a smaller role very soon.

I’ve separated the players into groups or “types” to make the list a little more digestible and to give you some idea of the demographics I think pop-up guys come from, which could help you identify some of your own with The Board (with The Board, through The Board, in The Board). For players whose orgs I’ve already covered this offseason, there is a link to the applicable team list where you can find a full scouting report on that player. I touch briefly on the rest of the names in this post. If you want to peek at the previous lists, here is Year 1, and here is Year 2. Read the rest of this entry »


2020 Top 100 Prospects

Below is my list of the top 100 prospects in baseball. The scouting summaries were compiled with information provided by available data, industry sources, as well as from my own observations.

Note that prospects are ranked by number but also lie within tiers demarcated by their Future Value grades. The FV grade is more important than the ordinal ranking. For example, the gap between prospect No. 3 on this list, MacKenzie Gore, and prospect No. 33, Jazz Chisholm, is 30 spots, and there’s a substantial difference in talent there. The gap between Evan White (No. 64) and Matthew Liberatore (No. 94), meanwhile, is also 30 numerical places, but the difference in talent is relatively small. You may have noticed that there are more than 100 prospects in the table below, and more than 100 scouting summaries. That’s because we have also included 50 FV prospects who didn’t make the 100; their reports appear below, under the “Other 50 FV Prospects” header. The same comparative principle applies to them.

As a quick explanation, variance means the range of possible outcomes in the big leagues, in terms of peak season. If we feel a prospect could reasonably have a best big league season of anywhere from 1 to 5 WAR, that would be “high” variance, whereas someone like Sean Murphy, whose range is something like 2 to 3 WAR, would be “low” variance. High variance can be read as a good thing, since it allows for lots of ceiling, or a bad thing, since it also allows for a lower floor. Your risk tolerance could lead you to sort by variance within a given FV tier if you feel strongly about it. Here is a primer explaining the connection between FV and WAR. For further explanation of the merits and drawbacks of Future Value, please read this. (If you would like to read a book-length treatment on the subject, you can pre-order my forthcoming book, Future Value, co-written with erstwhile FanGraphs analyst Kiley McDaniel.)

You’ll also notice that there is a FV outcome distribution graph for each prospect on the list. This is our attempt to graphically represent how likely each FV outcome is for each prospect. Using the work of Craig Edwards, I found the base rates for each FV tier of prospect (separately for hitters and pitchers), and the likelihood of each FV of outcome. For example, based on Craig’s research, the average 60 FV hitter on a list becomes a perennial 5+ WAR player over his six controlled years 26% of the time, and has a 27% chance of accumulating, at most, a couple WAR during his six controlled years. I started with these base rates for every player, then manually tweaked them for the first few FV tiers to reflect how I think the player differs from the average player in that FV tier, since a player in rookie ball and a player in Triple-A with the same FV grade obviously don’t have exactly the same odds of success. As such, these graphs are based on empirical findings, but come with the subjectivity of my opinions included to more specifically reflect what I think the odds are of various outcomes.

Read the rest of this entry »


Prospect Limbo: The Best of the 2020 Post-Prospects

Editor’s Note: Sources have indicated to FanGraphs that Fernando Romero has been awarded an additional option year. This post originally stated that Romero was out of options, and has been updated.

The need to define a scope, to create a boundary of coverage, creates a hole in prospect writing. Most public-facing prospect publications, FanGraphs included, analyze and rank players who are still rookie-eligible because, contrary to what you might think after seeing the length of my lists, you just have to stop somewhere, if only for the sake of your own sanity. Because of this, every year there are players who fall through the cracks between the boundaries of prospect coverage and big league analysis. These are often players who came up, played enough to exhaust their rookie eligibility, and then got hurt and had a long-term rehab in the minors. Some are victims of the clogged major league rosters ahead of them; others are weird corner cases like Adalberto Mondesi.

Regardless, prospect writers are arguably in the best position to comment on these players because they fall under the minor league umbrella, but simply adding them to prospect lists would open a can of worms — what do you do with other young big leaguers? So every year, I examine a subset of the players caught in this limbo to give curious readers an update on where once-heralded prospects stand now. Read the rest of this entry »