The Diamondbacks are officially going for it. Despite being 10 1/2 games behind the Dodgers in the NL West, they are right in the thick of the Wild Card race, and with just three teams fighting for two spots, have a pretty good at reaching the play-in game. And today, their line-up just got a lot better.

Source confirms: #DBacks acquiring J.D. Martinez from #Tigers. First: @JonMorosi.

— Ken Rosenthal (@Ken_Rosenthal) July 18, 2017

J.D. Martinez was the best hitter available, as he’s now on year four of being an elite hitter. Since the start of the 2014 season, Martinez is ninth in MLB in wRC+, right between Anthony Rizzo and Justin Turner. He’s a beast.

With Yasmany Tomas on the shelf, the Diamondbacks had been using Gregor Blanco, Daniel Descalso, and Chris Herrmann in left field, so swapping those guys for one of the game’s best hitters is going to be a huge upgrade. The projections — which still don’t totally buy Martinez’s bat, thanks to his weak pre-2014 numbers — have him worth a little over a win over the remainder of the season, but you can probably bump that up to +1.5 WAR if you think ZIPS and Steamer are too conservative on his offensive production.

Given how competitive the Wild Card race looks to be, that win or two could be the difference between making it or sitting at home. And now sticking Martinez behind Paul Goldschmidt gives the Diamondbacks a pretty fearsome pair of hitters if they advance deep in October. Given how well the team is pitching, this makes Arizona a potentially tough postseason opponent, should they get there.

To land Martinez, the D’Backs are giving up three prospects. Nick Piecoro had the details.

Dbacks are sending prospects Dawel Lugo, Sergio Alcantara and Jose King to the Tigers in exchange for J.D. Martinez.

— Nick Piecoro (@nickpiecoro) July 18, 2017

Obviously things can change during a season, but these are three kind of shocking names to be traded for an elite hitter, even a rental one. Eric had Lugo as the best prospect of the trio last winter, giving him a 40 FV and ranking him as the team’s 10th best prospect. Alcantara was in the others of note section. King wasn’t mentioned.

Lugo’s been fine in Double-A this year, but hasn’t done anything that would dramatically change his stock that I can see. Alcantara is running a 96 wRC+ in high-A ball, which lines up with Eric’s pre-season report of a future utility infielder or a lower-tier starter. King is an 18 year old in rookie ball.

These guys might turn out well for the Tigers. Perhaps Lugo is closer to being big league ready than we think. Maybe the market for rentals really has crashed.

But hard not to like this for Arizona. They get an elite hitter for the stretch run for three prospects that, to be honest, don’t look all that special. You never like giving up any potential, but for the present upgrade, this looks like Arizona did quite well.

Let’s start with a comp, courtesy of Connecticut Tigers pitching coach Ace Adams:

“He reminds me of Jonathan Papelbon, who I had for a couple of years with the Red Sox. The same type of arm action, the same type of delivery; the stature, the arm strength. There’s a lot of life on the four-seamer.”

The “he” in question is pitcher Matt Manning, whom Detroit drafted ninth-overall last year out of a Sacramento, California, high school. The 19-year-old right-hander — all six feet, six inches of him — is being tutored by the longtime pitching coach in short-season ball.

Papelbon was a starter before becoming a reliever, and if all goes as planned, Manning will remain in a rotation for the duration of his career. Adams feels he has a chance to be “pretty special,” and the scouting world pretty much agrees. Baseball America, MLB.com, and our own Eric Longenhagen all rank Manning as the top prospect in the Tigers’ system. Read the rest of this entry »

We might as well start this off with a Buster Olney tweet:

Teams asking about Justin Verlander; perception is DET looking for big,big,big return w/out salary offset. Owed $70m for rest of ’17,’18.’19

— Buster Olney (@Buster_ESPN) July 4, 2017

Just from reading that tweet alone, one could infer a few things. One, that the year hasn’t gone very well for the Tigers. That much is true, and the Tigers are only in the playoff race in the way that everyone in the American League is still in the playoff race. The Tigers are closer to the AL basement than they are to a playoff spot. Two, that Justin Verlander is available, and he’s been good enough to be interesting. That much is also true. And three, that a Verlander trade is going to be very challenging to execute. That much is certainly true. Verlander’s is the most fascinating name on the trade market, but as things stand, I don’t know how two sides could come together.

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Daily notes on prospects from lead prospect analyst Eric Longenhagen. Read previous installments here.

Pedro Gonzalez, CF, Colorado (Profile)
Level: Short Season  Age: 19   Org Rank: 7   Top 100: NR
Line: 4-for-5, 2B, BB, SB, CS
Notes
Gonzalez spent much of extended spring training in the Dominican Republic. Colorado doesn’t have an AZL team, so Gonzalez went directly from the DR to Grand Junction, his second year at that affiliate. Because of this, it has been hard for clubs, even those who place a heavier priority on complex-level scouting, to get eyes on Gonzalez. He remains physically projectable at a lean, broad-shoulder 6-foot-5, 190, and he’s a plus runner under way.

His defensive instincts draw mixed reviews, but he has the speed to stay there and try to polish his routes over time. If he fills out, slows down, and has to move to a corner it probably means he’s grown into enough power to profile there, at which point it will become imperative that he quell his desire to chase breaking balls off the plate.

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Last year, Eno Sarris wrote that Shane Greene “features a cutter and a slider, but where one begins and the other ends is tough to decide.” Sarris concluded his article by opining that the Detroit Tigers right-hander “has four breaking balls.”

PITCHf/x shows something different. They don’t have the 28-year-old reliever throwing a cutter at all. What they have is a combination of sliders and curveballs, with a notable flip-flopping of usage. Per PITCHf/x, Greene threw 46.6% sliders and 7.9% curveballs last year. This season, the pitch-tracking algorithm has him at 13.3% sliders and 30.1% curveballs.

And then there’s his heater. Greene has been two-seam heavy since moving to the bullpen last year, but while PITCHf/x has him throwing just 1.8% four-seamers this season, the system indicates he threw 19.6% four-seams (versus 25.2% two-seams) in 2016.

Intrigued by these conundrums, I went directly to the source. Greene, who has a 1.71 ERA and a 10.2 strikeout rate per nine innings over 33 appearances, broke down his repertoire when the Tigers visited Fenway Park last weekend.

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Greene on his repertoire: “The pitch that’s 88 to 91 [mph] and is moving like a slider, I call it a cutter. I call it that because when I earned the pitch, I already had something I called a slider. It’s harder, so I try to use it more as a cutter — not so much as a swing-and-miss pitch, but to miss barrels with. And sometimes it gets big, and sometimes it stays smaller.

“The pitch that is 82 to 84-ish, sometimes 85, is what I call my slider. A lot of people think it’s a curveball, but that’s been my slider since I was in high school. Same pitch.

Read the rest of this entry »

Brad Ausmus is hard to label. Many see him as an old-school manager — and, based on some of his beliefs and actions, that’s perfectly understandable. On the other hand, he’s Ivy League-educated and well versed on most analytic concepts. From a knowledge standpoint, the manager of the Detroit Tigers is far from a troglodyte.

This interview doesn’t add much clarity to Ausmus’s identity. For one thing, it’s narrow in scope. While other subjects are touched upon, closer usage and pitch-framing comprise the bulk of the conversation.

Of note: this material actually comes from three separate conversations. The first two were in group settings with Detroit beat writers (with my questions eliciting most of these responses) on back-to-back days. I then had a shorter, one-on-one conversation with Ausmus to fill in a few blanks. Because of the manner in which these quotes were obtained, some have been resequenced for continuity.

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Ausmus on analytics (intro): “Analytics are ubiquitous. I think the dangerous mistake people make — some member of the media make — is believing that they can’t be flawed, because they’re based on numbers. That’s absolutely false. Numbers do not always tell us the whole story. And there are certain things in baseball, because it’s played by humans, that numbers will never be able to put a value on.”

On leverage and closer mentality: “A lot of people in the analytics world think you should bring in your best pitcher in the biggest point of the game. Well, excuse my French, but who the (bleep) knows when the biggest point in the game is until the game is over? You don’t know. It may be the sixth. It may be the ninth. The problem is, if it’s the sixth and you use your closer, and all of a sudden you have a one-run lead in the ninth, who is going to close? You don’t have that guy anymore, because you burned him.

“Anyone who says you have to bring your closer in early, or in the biggest point in the game, has a crystal ball. That argument goes out the window for me. I don’t mind second-guessing, but second-guessing the biggest point of the game after the game? It’s easy to tell then. It’s not easy to tell in the seventh inning.

“If you’ve got another guy who is a closer, you’re fine [bringing your closer into a high-leverage situation early and not having him pitch the ninth inning]. But if you don’t have another guy who is a closer… closing a game in the ninth inning is not the same as pitching the eighth inning, or the seventh inning.

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We’re still 100 games away from the end of the season, but we’re getting closer to that time when teams have to decide whether they’re in or out of contention for the playoffs. Some clubs might have to make the tough choice of moving themselves out of contention despite having a reasonable playoff shot. In the American League, nearly every team is still in the race. That might change over the course of the next month, of course, but the field certainly looks like it will still be crowded come July.

There are five playoff spots up for grabs in the AL, and while a lot can and will happen the rest of the way, there are four teams to which our playoff odds give roughly an 80% or better chance of making the playoffs: the Houston Astros, Cleveland Indians, Boston Red Sox, and New York Yankees. The Astros look well on their way to potentially 100 wins, while the Indians, Red Sox and Yankees appear to be moving toward close to 90 wins, a figure that generally amounts to a spot in the postseason. Those four teams total 359% of the 500% total odds available. After that, seven teams have something close to a 10%.

After the first four teams, no club has a better than a 50% chance at the playoffs. The team at the top, Toronto, is currently in last place in its division. Here are the playoff odds since the beginning of the season for the rest of the teams in the American League — with the exception, that is, of the rebuilding Chicago White Sox, who have been near zero all season long.

Does that look like an incomprehensible mess? Well, welcome to the AL Wild Card race. If it helps at all, the list of teams at the bottom of the chart is in order in terms of their current playoff odds. There are seven teams with close to a 1-in-10 shot of making the playoffs, with a couple more in Kansas City and Oakland that possess an outside chance of getting back into the mix. If you picked the top team currently by the odds, Toronto, taking the field is probably a better bet.

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Austin Sodders is building a groundswell of support among prospect followers. Ranking among the leaders in multiple Midwest League pitching categories has a way of doing that. In 10 starts for the West Michigan Whitecaps, the 22-year-old southpaw in the Detroit Tigers organization has a 1.39 ERA, a 0.98 WHIP, and is striking out a batter per inning. And while W-L records are to be taken with a large grain of salt, there’s certainly nothing wrong with being a perfect 6-0.

Sodders was selected in the seventh round of last year’s draft, so it’s fair to say that he’s exceeding expectations. At the same time, it’s not as though he came out of nowhere. The UC Riverside product passed up a chance to sign with the Pirates out of a junior college in 2015, and he comes from a baseball family. His father, Mike Sodders, is a former first-round pick by the Twins, and his older brother, Mike, Jr., had a stint in the Angels system.

Sodders wasn’t certain where he’d end up when last June’s draft rolled around. He knew the Tigers were among the teams interested in him, but they hadn’t — nor had anyone else — supplied him with any concrete expectations. They have, however, helped him build a more solid foundation since bringing him into the fold.

A retooled breaking ball has been a boon to his development. When I mentioned that the Baseball America Prospect Handbook says his slider will “morph into a small cutter at times,” he knew exactly what they meant. For that reason, the pitch is now in his rear-view.

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This is now the third consecutive year in which I’ve written a post about the potential misuse of defensive metrics early in the season. We all want as large a sample size as possible to gather data and make sure what we are looking at is real. That is especially true with defensive statistics, which are reliable, but take longer than other stats to become so.

While the reminder is still a useful one, this year’s edition is a bit different. Past years have necessitated the publication of two posts on UZR outliers. This year, due to the lack of outliers at the moment, one post will be sufficient.

First, let’s begin with an excerpt from the UZR primer by Mitchel Lichtman:

Most of you are familiar with OPS, on base percentage plus slugging average. That is a very reliable metric even after one season of performance, or around 600 PA. In fact, the year-to-year correlation of OPS for full-time players, somewhat of a proxy for reliability, is almost .7. UZR, in contrast, depending on the position, has a year-to-year correlation of around .5. So a year of OPS data is roughly equivalent to a year and half to two years of UZR.

Last season, I identified 10 players whose defensive numbers one-third of the way into the season didn’t line up with their career numbers: six who were underperforming and four who were overperforming. The players in the table below were all at least six runs worse than their three-year averages from previous seasons. If they had kept that pace, they would have lost two WAR in one season just from defense alone. None of those six players kept that pace, and all improved their numbers over the course of the season.

The next table depicts the guys who appeared to be overperforming early on. If these players were to keep pace with their early-season exploits, the rest-of-season column would be double the one-third column. Brandon Crawford actually came fairly close to reaching that mark; nobody else did, however, as the other three put up worse numbers over the last two-thirds of the season than they had in its first third.

Just like with the underperfomers, all four of overperformers had recorded defensive marks six runs off their established levels. Replicating those figures over the rest of the season would have meant a two-win gain on defense alone. Again, no one accomplished that particular feat.

A funny thing happened when I ran the numbers for this season. There weren’t any outliers of a magnitude similar to last season or the season before. It’s possible you missed the announcement at the end of April, but there have been some changes made to UZR to help improve the metric.

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When you look up and see that the Athletics are in the midst of a two-game mid-week series against the Marlins in late May, you might suspect that the major-league baseball schedule is simply an exercise in randomness. At this point in the campaign, that’s actually sort of the case. The combination of interleague play and the random vagaries of an early-season schedule conspire to mean that your favorite team hasn’t had the same schedule as your least favorite team. Let’s try to put a number on that disparity.

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