Author Archive

Talkin’ Softball (Baserunning Aggression)

© Kareem Elgazzar-USA TODAY Network

I have a secret to tell you. Most writers don’t read the comments on their articles. I know, I know, but your well-thought-out rejoinders and witty jokes! It’s mostly a bandwidth issue: there are just so many words. But we pop in from time to time, and boy am I glad that I did this Monday, because I got a softball question to answer (get it?):

Yes! Forget CBA negotiations and lockouts and missed spring training. Forget major league baseball, too. Heck – for this article, forget baseball! Today, like the 1992 Springfield champions, we’re talking rec league softball.

The question is an apt one, and far more useful for the average slow-pitch softball player than an examination of backup sliders or novel sinkers or whatever the heck it is I’m normally writing about. It’s a simple question: how aggressive should you be on the basepaths in a world where almost no one makes outs? For the rest of this article, I’ll be applying the same math that we use for steals in the majors (that golden 75% success rate target) to decide whether to go for an extra base on a single. It could also apply to a steal, if that’s something your league does; I haven’t played in a few years, but the basepaths weren’t exactly lively when I did. For today’s article, though, we’re not going to consider the etiquette or technique, merely how to make your opportunities mathematically advantageous. Read the rest of this entry »


The Economic Impact of Changing CBT Thresholds and Penalties

© Shanna Lockwood-USA TODAY Sports

This past Saturday, as part of the ongoing collective bargaining agreement negotiations, Major League Baseball sent its second proposal on core economic issues to the Major League Baseball Players Association. We’ve already covered how the two sides differ on pre-arbitration compensation, and examined how changing the arbitration eligibility rules would alter player salaries based on recent arbitration awards. MLB and the MLBPA have also laid out proposals regarding the competitive balance tax, proposals that would have strikingly different effects on team spending.

To compare the two approaches, I started with the actual tax regime from the previous CBA, which was in effect from 2017 through ’21. I made one modification: the abbreviated 2020 season led the league and the union to bilaterally amend the CBA to drop the competitive balance tax for that season. Payrolls also ended up being quite different than their original projections due to the 60-game slate. For the purposes of this analysis, I’ve turned each payroll into a full-season number and calculated the tax as if 2020 were a regular year (hopefully, how the new CBT handles a pandemic will not be relevant for future seasons). Read the rest of this entry »


Ben Clemens FanGraphs Chat – 2/14/22

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A Sampling of Dubious Superlatives

Jayne Kamin-Oncea-USA TODAY Sports
I have a baseball pet peeve. It’s not the ongoing lockout, though that’s annoying. It’s not batters who endlessly step out of the box to adjust the velcro on their batting gloves. It’s not even my team failing to get a run home from third with less than two outs. My pet peeve is when broadcasts come up with team record statistics that are less than useless.

Today, I’m doing my part to fight back. This article isn’t about analyzing which of those stats are real and which aren’t; it isn’t even about analysis at all. It’s just some dumb statistics of my own that I made up to counter that trope that annoys me more than anything else: “When (basically any event in baseball) happens, the team has an incredible record!” I’ll also give you a baseline, so that when you hear one of these cherry-picked statistics in the future, you can put it into context. Let’s start with home runs. Read the rest of this entry »


In Which César Valdez Throws a Lot of Changeups

© Brad Penner-USA TODAY Sports

Remember that one time Lance McCullers Jr. threw 24 curveballs in a row? It was great, and it’s part of Astros (and Lance McCullers Jr.) lore. You’re supposed to intersperse breaking balls with fastballs, to make each play off of the other. Going against that – throwing the same thing over and over again and daring the other team to hit it – is delightful.

What’s so delightful about it? Throwing the same pitch a ton of times isn’t really it. Would you care if peak Mariano Rivera threw 24 cutters in a row, or Jake McGee threw 24 fastballs in a row? Probably not. Fastballs – and for this article, I’m treating a cutter as a fastball – are the default pitch, and if batters aren’t hitting them, why throw something else?

I’d argue that when you’re feeling it, curves and sliders can behave similarly, at least when it comes to the feasibility of throwing them over and over again. McCullers didn’t bounce 24 curves in a row – he commanded plenty of them in the strike zone. His curve isn’t just hard to hit because batters are looking for a sinker. It’s hard to hit because it moves like a hummingbird hunting nectar. It’s definitely cool seeing all those curveballs in a row, but it’s not as though he was relying on the deception of curveball versus fastball to sneak it past batters. They knew what was coming; they just couldn’t do anything with it.

That’s fine, I guess, if you’re into excellent, borderline-unhittable pitches. For truly impressive streaks of identical pitches, though, I’m partial to changeups. The reason for the pitch is right in the name – it’s a change from what the batter is expecting. In Spanish, it’s even more straightforward: cambio. There’s something magical about seeing a batter gear up for a fastball, only to flail awkwardly at something 10 mph slower.

Do it twice, and you’re using the hitter’s expectations against them in a different way, betting that with the changeup out of the way, they’ll go back and look for a fastball. Do it three times, and I’m not sure what you’re looking for. In unrelated news, let’s talk about César Valdez. Read the rest of this entry »


A Tale of Two (Hypothetical) Rotations

Orlando Ramirez-USA TODAY Sports

Let’s play a quick game. I’ll list two potential starting rotations, and you tell me which one you’d prefer. First contender:

Rotation One
Rotation 1 Proj IP Proj ERA Proj WAR
Aaron Nola 191 3.68 4.1
Logan Webb 184 3.36 4
Nathan Eovaldi 179 3.83 3.8
Julio Urías 159 3.82 2.7
Sean Manaea 175 3.67 3

This would be one of the top few rotations in baseball. Nola might be slightly short of the average “top starter on a playoff team,” but it’s close. Webb turned unhittable last year. You can take your pick between Urías and Eovaldi as your third starter; I’m significantly higher on Urías than our Depth Charts projections. Manaea is wildly overqualified as a fifth starter.

Okay, so the bar is pretty high. What about rotation number two?

Rotation Two
Rotation 2 Proj IP Proj ERA Proj WAR
Corbin Burnes 175 3.01 5
Blake Snell 151 3.73 2.6
Lance McCullers Jr. 146 3.63 2.6
Framber Valdez 188 3.79 2.9
Alek Manoah 141 3.84 2.2

Burnes is one of the best five starters in baseball; maybe three teams wouldn’t plug him in atop their rotation, though he has some volume concerns. Snell is a risk as well, but one with a tremendously high ceiling. McCullers and Valdez as your third and fourth starters is an appetizing proposition, and Manoah provides yet more upside. This one projects for less WAR than the first rotation, but in fewer innings; it might tax your bullpen more, but in exchange you’re getting some top-shelf arms. I’d prefer rotation number one, but I think it’s quite close, and I wouldn’t fault you for picking number two.

Is that it? Are we just playing “pick your favorite fantasy team” here at FanGraphs? Don’t rule it out if the lockout keeps going, but no, I picked these groups to illustrate a point. The first group of starters? They were all among the top 15 pitchers in the majors last year at one particular skill: throwing first-pitch strikes. The second group? They finished in the bottom 15. Read the rest of this entry »


deGrom-Theoretical Optimality in Two-Strike Counts

© Rick Scuteri-USA TODAY Sports

Today, I’m looking into something that doesn’t require much explaining. Well, that’s not quite accurate. I’m looking into a situation that’s so good for the pitching team that in our minds, we go ahead and write it off. That doesn’t mean it’s not interesting, though; it can just be hard to see why it’s interesting, which is why I’m writing about it. That’s right: let’s talk about when Jacob deGrom gets ahead in the count.

When the best pitcher in baseball has the advantage on a hitter, that hitter doesn’t do well – a real shocker, that one. With two strikes, deGrom turned batters into sub-pitcher-hitting-level zeroes in 2021:

Jacob deGrom in Two-Strike Counts, 2021
Count wOBA K% BB%
0-2 .129 72.1% 1.0%
1-2 .084 72.1% 1.0%
2-2 .131 65.3% 1.4%

Those aren’t typos. When deGrom hit two strikes before three balls, he struck out roughly three-quarters of the batters he faced and walked almost none. Survive until 3-2, and you stood a chance – he had a 12% walk rate and a mere 52% strikeout rate after 3-2 counts – but for the most part, facing deGrom with two strikes is a one-way ticket back to the bench. Read the rest of this entry »


Ben Clemens FanGraphs Chat – 2/7/22

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An Arbitration Compensation Update

© Allan Henry-USA TODAY Sports

Yesterday, I released a study of the average compensation that players who qualify for Super Two arbitration receive in their pre-free-agency years. Today, I’m replicating the same study for players who reached standard arbitration. This should help add numerical context to the negotiations between the league and the MLBPA around pre-free-agency compensation – though those negotiations aren’t going well at the moment.

As a reminder, I’m looking at the production and subsequent-year salaries of every player since 2013 to establish a rule of thumb for what players can expect to receive in arbitration given their production in the preceding year. The methodology will follow, but first, here’s the high-level summary of what players have received based on their service time, position, and production:

Arbitration-Eligible Salaries, $/WAR (millions)
Player Type $/WAR Arb1 $/WAR Arb2 $/WAR Arb3
Batter $1.36 $2.13 $3.59
Starter $1.38 $2.35 $3.34
Reliever $1.79 $3.98 $5.61
$/WAR (mm) over minimum salary, 2013-2021. See below for methodology

This table displays the amount of money a given player should make above the minimum salary based on who they are and what they did. Just as with the Super Two numbers, this broadly makes sense – players receive less per unit of production than they would in free agency, but their compensation gets close and closer to free agency levels (roughly $6.5 million above minimum salary per WAR) as they go further into arbitration. Read the rest of this entry »


A Super Two Compensation Update

© Patrick Gorski-USA TODAY Sports

One major point of contention in this offseason’s collective bargaining impasse is compensation for young players. In the two sides’ competing proposals, the existing Super Two system, which each year awards an additional year of arbitration to some pre-arb players with two-plus years of service time, has come up repeatedly. Whether it’s being replaced with an algorithmic solution, increased pay for some players based on performance, or an expansion of arbitration within the two-plus group, compensating these pre-arb but multi-year players is a key point of debate as the lockout wears on.

If we want to understand this debate, we need to understand how Super Two players have been compensated in the existing system. Without that context, the dispute can feel more theoretical than consequential, and it is obviously very consequential to the players involved. To that end, I decided to look at the last eight years of Super Two awards and come up with a rough heuristic for how their compensation relates to their production in those years. From there, I’ve created some rules of thumb, which I’ll share with you here before we get into the nitty-gritty details of how I did the calculations. Here it is, separated out by player type:

Super-Two Salary Awards, $/WAR (millions)
Player Type $/WAR Arb1 $/WAR Arb2 $/WAR Arb3 $/WAR Arb4
Batter $1.08 $1.86 $2.66 $4.19
Starter $1.11 $1.97 $2.97 $3.88
Reliever $1.57 $3.11 $3.98 $7.60
$/WAR (mm) over minimum salary, 2013-2021. See below for methodology.

This table displays the amount of money a given player should make above the major league minimum based on how many times they’ve been through the arbitration process, their position, and their previous year’s production. Broadly speaking, the numbers make sense — players receive less per unit of production than they would in free agency, but their compensation gets closer and closer to free agency levels (roughly $6.5 million above minimum salary per WAR) as they go further into arbitration. Now let’s talk about how I got to these numbers, and the merits (and limits) of using this style of calculation to model arbitration awards. Read the rest of this entry »