Baseball’s Free Agency Problem

Baseball season begins next week. For different teams it starts different days, but for the Red Sox at least, pitchers and catchers report to Spring Training on Tuesday. But the Red Sox, along with many other teams throughout baseball, have holes in their roster. Why? Arguably because nearly 100 free agents remain unsigned.

I do not intend to go into the different theories as to why, but this has been a remarkably slow offseason. How do we know? Well using MLB Trade Rumours listing of the top-50 free agents this year, and the signings reported on Baseball Reference, we can look at the upper and middle, or maybe upper-middle, tiers of free agency.

The upper tiers of baseball's free agent market, as of 9 February
The upper tiers of baseball’s free agent market, as of 9 February

Kind of messy to look at with all the player labels, but we can see here the projected contracts, in both length and total value, along with the contracts players signed, if they have. And for context we can see how those contracts compares to the Qualifying Offer (QO). What’s that? Complicated baseball stuff that is meant to ensure teams that lose stars or highly valuable players are compensated, especially since they might come from smaller market teams that cannot afford superstar prices. The QO is meant to help competitiveness in the sport. How does it do that? Let’s just say complicated baseball stuff. We should also point out that some players, most notably the Yankees’ Masahiro Tanaka, were expected to opt out of their contracts and try the free market. Tanaka did not, which is why his projection was so far off.

Comparing the signed to the unsigned free agents
Comparing the signed to the unsigned free agents

So is it true that free agency is or has moved slowly? Consider that approximately 100 free agents remain unsigned as of late Thursday night—please no big signings tomorrow morning—and that of the top 50, 22 of them remain unsigned. And if we take the QO as a proxy for the best players in the game, add in two players who were exempt because baseball stuff, we can say that 8 of the 11 best players remain unsigned. Though, in fairness to ownership, three of those players are reportedly sitting on multi-year offers in the nine-figure range.

But if players are unsigned, does that mean they are competing for lower value contracts? Possibly. If we use MLB Trade Rumours’ projected contracts, because in years past they have proven smart at these things, we can see that for the 28 who have signed, it’s a roughly even split in terms of the number of players who have signed for more or less than their projection. Sometimes however, non-monetary factors come into play. Two notable free agents, Todd Frazier and Addison Reed, both reportedly signed lesser value contracts to play closer to a specified geography, in Frazier’s case the Northeast and in Reed’s the Midwest.

How are the signed players doing versus their contract projections
How are the signed players doing versus their contract projections

But the telling part in that graphic is not necessarily the vertical movement, i.e. dollars, but the horizontal movement. (Though we should call out the cases of Carlos Santana and Tyler Chatwood, signed by the Phillies and Cubs respectively, who did far better than projected.) Consider that a team might not have a lot of money to spend and so might extend a contract over additional years, offering job security to a player. Or in a bidding war, the length of the contract might be what leads a player to pick one team over another. In those cases we would expect to see more left-to-right movement. So far we have only had one player, Lorenzo Cain, who signed for more years than expected. Most players who have signed for less have also signed for fewer years. Note the cluster of right-to-left, or shorter-than-expected, contracts in the lower tiers versus the small, vertical-only cluster in the same section for those signing greater than projected contracts.

Lastly, are these trends hitting any specific positional type of player? Well maybe. Ignoring the market for catchers because of how small the pool was—though the case of Jonathan Lucroy as the unsigned catcher is fascinating—we can see that the market has really been there for relief pitchers as there are few of the top-50 remaining on the market. Starting pitchers and outfields, while with quite a few still on the market, have generally done better than projected. But infielders lag behind with numerous players unsigned and those that have signed, most have signed for less than projected.

Are there any trends at the position level
Are there any trends at the position level

But at the same time, I would fully expect that once these higher level free agents come off the board—while one would think they would certainly be signed, who knows in such a weird offseason as this—the unsigned middle and lower tiers will quickly follow suit.

Of course none of this touches upon age. (Largely because lack of time on my part.) Though, in most cases, getting to free agency in and of itself makes a player older by definition the way baseball’s pre-arbitration and arbitration salary periods work. (Again, more baseball stuff but suffice it to say your first several years you play for peanuts and crackerjacks.)

Hopefully by this afternoon—Friday that is—some of these players will have signed. After all, baseball starts next week. If we are lucky this post will be outdated, at least in terms of the dataset, come Monday. Regardless, it has been a fascinating albeit boring baseball offseason.

Credit for the data goes to MLB Trade Rumours and Baseball Reference.

State of the Union Data

Well there was a lot to poke and prod at in last night’s State of the Union. So over the next couple of days I will be looking at some of the data. I wanted to start with something I could look at over breakfast—unemployment rate data.

President Trump claimed unemployment rates are at the lowest rate in…I forget how many years he claimed. But in a while. And he is correct. But, as this chart shows, he entered office with unemployment rates very near those record lows. A few tenths of a percentage point lower and voila, all-time low. What the data shows is that the bulk of the fall in the unemployment rate actually came under the watch of the Obama administration. The rate peaked at the end of the Great Recession at 10% before falling all the way down to 4.8%, which is about the natural unemployment rate that is somewhere between 4.5% and 5%, what you would expect in a healthy economy.

The unemployment rate
The unemployment rate

Data is from the Bureau of Labour Statistics, chart is mine.

The Shitholes

Today’s post is a very quick reaction to the news last night about President Trump calling Haiti, El Salvador, and African countries “shitholes” and trying to get rid of immigrants from those countries in favour of immigrants from places like Norway.

Norwegian contributions to American immigrants peaked well before the 21st century. At that time, Norway was poor and lesser developed. The data was hard to find, but on a GDP per capita level, Norway was one of the least developed countries in Western Europe. On a like dollar-for-dollar basis, El Salvador of 2008 is not too far from Norway 1850.

I wish I had more time to develop this graphic for this morning. Alas, it will have to do as is.

I'm just really hoping Africa isn't a country again…
I’m just really hoping Africa isn’t a country again…

The Missing Argentinian Sub

A story over the last several days you  may not have heard about concerns the disappearance of the ARA San Juan, an Argentinian Navy submarine. Here in the US and over in the UK, we use rather large nuclear-powered submarines. They can travel the world underwater without ever coming up for air. But most of the rest of the world uses much smaller diesel-electric submarines. They have to come up for air every couple days, like in all those World War II submarine movies.

As you know, these kind of stories are right up my alley and I wanted to try and explain the story visually. Unfortunately, it took me way too long to illustrate the two submarines you will see. So instead, we have more of a comparison of the San Juan, a Type 1700 submarine, and the movie-famous American Los Angeles class attack submarine.

The Argentinian sub is just over half the size of the American sub. It's rather small.
The Argentinian sub is just over half the size of the American sub. It’s rather small.

I had a lot of other things planned, but had to drop them. The point is that the Argentinian submarine is a lot smaller, has fewer crew, but needs to come to the surface in the next day or two, most likely. Time is beginning to run out.

Credit for the piece is mine.

Whom to Root for in the Playoffs

This week I covered a lot of Red Sox stuff. (And I received some great feedback from people, so maybe more baseball-related stats things will be forthcoming.) But, since it is Friday, I wanted to keep today late. So over breakfast I worked on a flowchart to help you choose whom to root for in the playoffs now that Boston, Colorado, Arizona, Minnesota, Washington, and Cleveland have all been eliminated.

To be fair, my second choice was good old Terry Francona and the Indians (like last year). But, the Evil Empire is returning.

Happy Friday, all.

But did you catch the overarching theme?
But did you catch the overarching theme?

Power Sapped

Following on yesterday’s post about the Red Sox offence, I wanted to follow up and look into their power numbers. So here we have a smaller scale graphic. Nothing too fancy, but the data backs what my eyes saw all year. A definite power drain up and down the Red Sox lineup in 2017.

Where did all the power go?
Where did all the power go?

The Red Sox Offence in 2017

Like I said yesterday, the Red Sox season is over. And the coverage on offseason needs began in the morning papers. But I wanted to follow up on the data from yesterday and delve a bit more deeply into the offence.

Yes, we know it was roughly league average across the team. And we know it took a hit with David Ortiz’s retirement at the end of last year. But what happened? Well, I took those same OPS+ numbers for the starting nine and compared 2017 to 2016. I then looked further back to see how those same players performed throughout their careers (admittedly I skipped Hanley Ramirez’s 2 plate appearances in 2005.)

You should take a look at the full graphic, but the short version, pretty much everyone had an off year. And when everyone has an off year, it is a pretty safe bet the team will have an off year.

You can't all take a break…
You can’t all take a break…

A Brief Review of the Boston Red Sox Season

Well the 2017 season ended yesterday afternoon for my Boston Red Sox as we lost 5–4 to the Houston Astros and they took Game 4 of the ALDS. So this morning we will surely see the critiques and hot takes on what to do to improve the team begin to make the internet rounds.

But before we get into all of that, I wanted to take a look at the 2017 season from a data perspective. At least, the regular season. After all, we can see how Sale in Game 1 and Kimbrel in Game 4 just had poorly timed bad days. But what about the other 162 games? After all, we will need to win a lot of them if we want to make it back to the playoffs in 2018.

I just pulled a couple quick stats from Baseball Reference. Now we can quibble about which stats are best another time, but from my experience the more sabremetric datapoints are lost on a general audience. So here we are using OPS, basically a hitter’s average combined with his power/slugging ability, and ERA, the amount of runs a pitcher can be expected to allow every nine innings. I also threw in defensive runs saved above average, i.e. is the player saving more runs than an average player.

You can read the graphic for the details, but the takeaway is that Boston, we need not panic. The 2017 Red Sox were a good team. Far from perfect—here is looking at you lack of middle-of-the-order power—but a solid lineup, good rotation, good defence, and a fantastic bullpen. How can we add without subtracting too much?

Overall, not a bad team
Overall, not a bad team

Nambia

C’mon. You knew I was not going to let that one slip by.

President Trump, in a meeting with African leaders, twice name-dropped Nambia and in one mention held it up as having a nearly self-sufficient healthcare system. Funny thing to mention as the US is on the brink of eviscerating its healthcare system. But I digress. The point is that when you are speaking to the president of a country, you take a minute to learn how to pronounce the country’s name correctly. Even write it phonetically in the text if you have to. (I’ve done that.) So where is Nambia?

This was just too too good to pass up…
This was just too too good to pass up…

Rising Tides, Rising Disasters?

One more day of Harvey-related content. At least I hope. (Who knows? Maybe someone will design a fantastic retrospective graphic?) Today, however, we look at a piece from the Economist about the rising number of weather-related disasters, but thankfully falling numbers of deaths. The piece has all the full suite of graphics: choropleths, line charts, and bar charts (oh my!). But I want to look at the bar chart.

A timeline of disaster causes around the world
A timeline of disaster causes around the world

I cannot tell from this chart whether there has been any change in the individual elements, the meteorological, hydrological, or climatological disasters. And unfortunately stacked bar charts do not let us see that kind of detail. They only really allow us to see total magnitude and the changes in the element at the bottom of the stack, i.e. aligned with the baseline. So I took their chart and drew the shapes as lines and realigned everything to get this.

My take
My take

You can begin to see that meteorological might be overtaking hydrological, but it is too early to tell. And that right now, climatological causes are still far behind the other two.

Credit for the piece goes to the Economist Data Team.

Credit for mine goes to me.