Archive for November, 2017

What Should the Rays Do?

The Tampa Bay Rays are a fascinating case study this offseason. They’re not bad, but it’s been a while since they were contenders. They haven’t finished with a winning record in any of the past four seasons, and as things stand right now, they aren’t projected as a 2018 playoff team either. Our depth charts currently peg them for having the 16th-best WAR in the majors, and the ninth-best in the American League. There isn’t a lot of separation between the Rays at 16th and the Diamondbacks at 10th, but by that same token, they’re not that far from the Orioles at 18th overall, either.

With some upgrades, the Rays could conceivably push a little closer to the top of the list and put themselves more firmly into the Wild Card mix. But as Craig noted on Friday, the Rays have already committed to a more expensive roster in 2018 than they did in 2017. As such, they may not have any money to spend in free agency. In fact, they may have to jettison some salaries. Who would they jettison, exactly? Let’s take a look:

Tampa Bay Rays, $5+ Million Salaries, 2018
Player 2018 Salary ($M) 2017 WAR Proj. 2018 WAR
Evan Longoria $13.6 2.5 3.0
Wilson Ramos $8.5 0.4 2.0
Jake Odorizzi $6.5 0.1 0.9
Corey Dickerson $6.4 2.6 1.1
Chris Archer $6.4 4.6 4.4
Kevin Kiermaier $5.6 3.0 3.8
Alex Colome $5.5 1.2 0.7
Adeiny Hechavarria $5.0 1.3 0.7
Highlighted = Projected arbitration salary from MLB Trade Rumors
Projected WAR via FanGraphs depth charts

So the Rays have eight players who are expected to make $5 million or more next season, either as part of their current contract or through arbitration (estimates of which have been provided by Matt Swartz). Brad Miller is projected to make $4.4 million in arbitration, which is also noteworthy.

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Putting WAR in Context: A Response to Bill James

Nine years ago next month, we introduced a new stat to the pages of FanGraphs. We called it Win Values, and on the player pages and leaderboards, it went by the acronym WAR. We wouldn’t actually start calling it that, or use the words for which the acronym stood (Wins Above Replacement) for a little while, since we thought Win Values sounded cooler. And as the people who bring you WPA/LI and RE24, we’re clearly the experts on statistical naming coolness.

Over the last nine years, WAR has become something of a flagship metric, not just for us, but for the analytical community at large. Baseball-Reference introduced their own version, while Baseball Prospectus modernized their version of WARP — their version adds the word player to the name, thus the P — to provide something that scaled a bit more like what was presented here and at B-R. Because WAR is a framework for combining a number of different metrics into a single-value stat, there are also quite a few other versions of WAR out there, each with their own calculations.

But while everyone uses different inputs — and therefore arrives at slightly different results — almost all of the regularly updated WAR metrics are built on some version of linear weights, which assigns an average run value to each event in which a player is involved, regardless of what actually happened on the play. If you hit a single, you get credit for hitting a single. It’s worth some fraction of a run, regardless of whether you hit it with two outs and the bases empty in a the first inning of an eventual blowout, or whether it was a walk-off two-run single to give your team the lead. In most versions of WAR, the value of a player’s contribution is calculated independent of the situation in which it occurred.

Bill James is not a fan of that decision.

We come, then, to the present moment, at which some of my friends and colleagues wish to argue that Aaron Judge is basically even with Jose Altuve, and might reasonably have been the Most Valuable Player. It’s nonsense. Aaron Judge was nowhere near as valuable as Jose Altuve. Why? Because he didn’t do nearly as much to win games for his team as Altuve did. It is NOT close. The belief that it is close is fueled by bad statistical analysis—not as bad as the 1974 statistical analysis, I grant, but flawed nonetheless. It is based essentially on a misleading statistic, which is WAR. Baseball-Reference WAR shows the little guy at 8.3, and the big guy at 8.1. But in reality, they are nowhere near that close. I am not saying that WAR is a bad statistic or a useless statistic, but it is not a perfect statistic, and in this particular case it is just dead wrong. It is dead wrong because the creators of that statistic have severed the connection between performance statistics and wins, thus undermining their analysis.

James strongly believes that the metric falls apart by building up from runs, rather than working backwards from wins, since the context-neutral nature of the metric means that what WAR estimates a group of players are worth won’t add up to how many wins their team actually won. In his mind, the decision to make WAR context-neutral isn’t a point on which reasonable people can disagree; it’s just a mistake.

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FanGraphs Audio: Dayn Perry vs. the State of Alabama

Episode 785
Dayn Perry is a contributor to CBS Sports’ Eye on Baseball and the author of three books — one of them not very miserable. He’s also the lone Mississippi native on this edition of FanGraphs Audio.

Don’t hesitate to direct pod-related correspondence to @cistulli on Twitter.

You can subscribe to the podcast via iTunes or other feeder things.

Audio after the jump. (Approximately 1 hr 8 min play time.)

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Sunday Notes: Mike Rizzo and the Nats’ Analytical Wavelength

When I talked to Mike Rizzo in Orlando earlier this week, he told me the Washington Nationals have an eight-person analytics department that includes “three or four employees” who have been added in the last two years. The veteran GM also told me they have their own “Scouting Solutions, which (they) call The Pentagon.” In Rizzo’s opinion, his team has gone from behind the times to having “some of the best and brightest analytics people in all of baseball.”

A pair of uniformed-personnel changes further suggest an increased emphasis on analytics. Dave Martinez has replaced Dusty Baker as manager, and Tim Bogar has come on board as the first base coach. According to Rizzo, their saber-savviness played a role in their hirings.

“It was part of the process,” related Rizzo. “Davey is a 16-year major league veteran who can appeal to a clubhouse of major league players — there’s a respect factor there — and he’s also coming from two of the most-analytical organizations in baseball, in Tampa Bay and Chicago. He’s bringing that love of analytics and the implementation of those statistics with his thought process. Read the rest of this entry »


The Best of FanGraphs: November 13-17, 2017

Each week, we publish in the neighborhood of 75 articles across our various blogs. With this post, we hope to highlight 10 to 15 of them. You can read more on it here. The links below are color coded — green for FanGraphs, brown for RotoGraphs, dark red for The Hardball Times and blue for Community Research.
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The BBWAA Did A Great Job

Yesterday, the BBWAA announced the last of their major awards for the 2017 season, with Jose Altuve and Giancarlo Stanton taking home the MVP honors for their respective leagues. And while there were certainly more-than-reasonable cases to be made for the runner-up to take the top spot, the overall results of the voting show that the BBWAA is, more than ever, doing a pretty great job in rewarding the right players for their performances.

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An Estimate of Every Team’s Payroll Room

Scott Boras’s life is currently populated by buses to Playoffville, a mythical creature named J.D. Kong, and squirrels in trees with nuts. It’s time, in other words, for teams to get out the checkbook and start paying his clients.

How much those teams can spend will become more clear over the coming weeks. But we can estimate now. By looking at how much every team has on the books currently, it’s possible to identify those teams in the best position to make major moves, either by taking on a contract like Giancarlo Stanton’s or signing a big-name free agent such as Jake Arrieta, Yu Darvish, Eric Hosmer, or J.D. Martinez.

Last winter, there was considerable uncertainty with regard to spending, as the new CBA hadn’t yet been formalized. The players and the owners eventually reached an agreement, and while the implications of that agreement have yet to be fully fleshed out, we have a greater understanding of its effects than we did last year at this time. Teams know how much they can expect to pay and receive in revenue sharing. Big-market teams, meanwhile, have a much better idea of how much they might have to pay in taxes with competitive-balance tax amounts and penalties all spelled out. That could lead to a little more spending this winter than we saw last offseason, but teams could also be saving up for next year’s superior free-agent class, trying to avoid some tax penalties, or simply rebuilding.

To start, let’s take a look at current payroll commitments as teams start to spend more for next season. The chart below depicts a combination of guaranteed salaries and estimated arbitration salaries for each club — plus whatever extra payroll would be required at the league minimum to create a full roster. Data care of Cot’s Contracts.

The figures we see here aren’t all that surprising. The big-money Dodgers, Giants, Nationals, Red Sox, and Yankees lead the way. Way down at the other end we find the the lower-revenue Athletics, Brewers, Padres, and Rays along with the rebuilding Chicago White Sox and the Philadelphia Phillies, the latter having committed less than one-fifth the amount of the Los Angeles Dodgers.

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Effectively Wild Episode 1138: No Loopholes Here

EWFI

Ben Lindbergh and Jeff Sullivan banter about Gabe Kapler’s prospects as Phillies manager, Aaron Judge’s hard hitting, various end-of-season awards results, MLB’s baseball-studying committee, and Shohei Ohtani’s value to AL and NL teams and the difficulty of gaming the CBA to sign him, then answer listener emails about an Ohtani sign-and-trade, homegrown value vs. free-agent value, intentional walks in the automatic-IBB era, the best games to time travel to, and an odd three-way trade.

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Giancarlo Stanton Named NL MVP

Giancarlo Stanton is your 2017 NL MVP. Barely.

The Marlins outfielder edged out Cincinnati’s Joey Votto by two points (two!), for a final total of 302 to 300. Votto and Stanton each received 10 first-place votes. The latter, however, received 10 second-place votes; the former, just nine. The individual ballots are here.

According to the BBWAA, there have been only two closer NL MVP races than the 2017 edition: in 1979, when Keith Hernandez and Willie Stargell tied and, in 1944, when Cardinals shortstop Marty Marion topped Cubs outfielder Bill Nicholson by a single point.

You could pick either Votto and Stanton and not err egregiously. Paul Goldschmidt was the third NL MVP finalist. Despite producing an excellent season in his own right, he was a cut below by most measures.

The voters selected Stanton. They recognized a fine player, the preeminent home-run artist in the year of the home run. If I had a vote (I did not), I would have placed Votto on the No. 1 line.

Stanton led the majors in home runs (59). If RBIs are your thing, he led the majors there, too (132). He closed off his stance and made real gains in contact and zone discipline. He was more than just a slugger.

Also in Stanton’s favor is the level of his opponents. He faced a slightly higher quality of competition according to Baseball Prospectus’ Quality of Pitchers Faced metric, holding a 107 to 103 edge.

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Corey Kluber Rides Historic Pitch to Second Cy Young Award

What’s so remarkable about Corey Kluber’s second Cy Young Award, the receipt of which was announced Wednesday evening, is he won it despite missing a month of the season. At the All-Star break, it looked like Sale in a runaway, but Kluber found another level and produced one of the great Cy Young comebacks of all-time. That’s how dominant he was from the point at which he returned in June through the end of September following a trip to the DL with a back strain.

How good was Kluber?

Starting with that appearance against Oakland on June 1, Kluber struck out 224 batters (!). That’s 224 strikeouts in two-thirds of a season. That’s 224 strikeouts against 619 batters faced, good for an astounding 36.2% rate. He walked only 3.7% of those same batters.

The difference between Kluber’s strikeout and walk rate (K-BB%) from June to September was 32.5 points. To put that mark in context, consider: among all pitchers, only elite bullpen arms recorded Craig Kimbrel, Kenley Jansen and Chad Green better marks for the season. (It should be noted that Chris Sale led MLB starters over the whole season with a 31.1-point differential. Kluber finished second to Sale among starters, with a 29.5-point mark.)

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