So far, the Diamondbacks have been a major surprise, and although every surprise is, by definition, surprising, there are degrees. What makes the Diamondbacks all the more surprising is that they are where they are without Shelby Miller. A Miller bounceback was supposed to be key to their hopes, but then he got hurt, which should’ve been trouble. Enter Zack Godley. Godley has plugged the hole, and then some.

Relative to last season, Godley’s been one of the more improved starting pitchers in the major leagues. While he has several elements going on at any one time, his main trick is a dynamite curveball that he’s fallen in love with. By run values, it’s been baseball’s second-best curveball, behind Corey Kluber and above Lance McCullers. Godley’s curve is something special, and it causes one’s discipline to deteriorate. It’s not an easy pitch to lay off.

Godley, on Thursday, got a start in Colorado. He faced Charlie Blackmon to lead off the bottom of the first, and Godley got Blackmon to a two-strike count. A couple curves couldn’t finish him off. Nor could a couple non-curves. Godley’s seventh pitch came in a 2-and-2 count, and at last he threw the pitch that he wanted. The curve caught the plate, but it plummeted below the zone. It was labeled for the dirt, but too sharp to spit on. It was the swing-and-miss curve to make Blackmon go away.

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Earlier this week, Travis Sawchik took note of some steps that Colorado Rockies pitchers have taken this year to better succeed in the context of the team’s challenging home park. Jeff Sullivan added to the conversation the next day, observing that the Rockies have been fantastic on the road this season. To continue the investigation of Colorado’s strong campaign, I’ve attempted here to understand what factors have contributed to the Rockies’ road record — which stands at 25-13 entering today, the second-best mark in the majors. My conclusion? A good bullpen, the club’s first decent defense in quite some time, and some luck.

The Rockies have one of the best records in the majors this year. Examining merely the raw numbers, one might conclude that the club’s offense, which ranks fourth in runs per game, is largely to thank for that. That would be a bad conclusion to reach, however. For the Rockies, in their stadium, fourth is actually quite bad. After adjusting for park, the team’s offensive is 15% worse than league average, fifth worst in the majors. One might argue that the park adjustment penalizes hitters too much for Coors Field. Perhaps that’s the case. Even so, the Rockies have recorded a below-average offensive mark away from Coors, as well. Their offense, by most measures, just hasn’t been that great.

There are also suggestions that the club is perhaps getting a bit lucky. While the Rockies have compiled a 47-27 record overall, Pythagorean win percentage (which estimates a club’s record based on runs scored and allowed) has them at 43-31, while BaseRuns (which strips out sequencing) has them at 40-34. That could go a long way in explaining the Rockies road record: just chalk it up to luck and be done.

We can’t actually do that, though, because most of that luck has come at home for the Rockies. In 36 home games, Colorado has outscored their opponents by just 19 runs; on the road, that margin is 46 runs. At least in terms of runs scored and prevented, the Rockies have earned their road success.

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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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The Rockies presently sit atop the NL West, and they own the best record in the National League. Before the season started, the FanGraphs community identified the Rockies as the team the projections were most underrating, but then, on the other hand, the Rockies also fell victim to a number of early-season health problems. It’s been an outstanding two and a half months, in other words, and the Rockies’ playoff odds have soared to nearly 90%.

Plenty has already gone right, and these being the Rockies, they’ll forever be a source of certain intrigue. There’s no separating the Rockies from the reality that they play in baseball’s weirdest environment, and Travis just wrote on Monday about the Rockies learning to pitch with confidence at Coors Field. The adaptability of the pitching staff has been a major story early on, with so many young successes. But I’d like to quickly highlight something else. It’s something very simple! Here are the Rockies’ year-to-year franchise winning percentages at home:

The present Rockies are at .618, which would stand as their best mark since 2010. Now here’s the same plot, but for road games instead:

The present Rockies are at .658, which would very easily be their highest mark ever. Only once before have the Rockies won even half of their road games — 2009, when they went 41-40. They’re already 25-13. The Rockies have yet to play half of their games, and the samples get even smaller when you split them in two, so I don’t want to jump the gun or anything. But, quietly, a huge development here has been the Rockies playing well outside of Colorado. That’s been a problem of theirs forever.

Over the previous decade, the Rockies won 54% of their home games, ranking them 15th in baseball. Nice and average. Over the same span of time, the Rockies won a hair under 40% of their road games, ranking them 29th in baseball. No other team had a bigger such difference in rank, and no other team had a bigger such difference in winning percentage. The Rockies deal with twin phenomena, which are almost impossible to separate: they get a home-field advantage, and they also get a road-field disadvantage. Theories have abounded. I probably don’t need to go over them all.

Simply, the Rockies have been able to win at home. They’ve needed to do something about the other half of their games. There’s evidence, now, that something has organizationally clicked. It’s also too early to declare that — the Rockies have faced a softer road schedule. Their home opponents have an average winning percentage of .511, while their road opponents have an average winning percentage of .462. That’s a thing. That’s a partial explanation. But it’s not a *complete* explanation. The Rockies are showing a reduced home/road split, and it’s happening by the road numbers getting better, instead of the home numbers getting worse.

I don’t know when we’ll be able to say anything for sure. Park factors always take a while to stabilize, and the Rockies’ schedule will even out. It’s not like the Rockies are suddenly better when they aren’t at Coors Field. That wouldn’t make any sense. But right now, they’re running a hell of a reverse split. They’re literally the last team you’d expect to be doing that. If we’re going to talk about why the Rockies are where they are, this has to be a part of the conversation. It’s something out of the Rockies’ wildest dreams.

Some say it’s all been done before. That’s perhaps mostly true, but as something only mostly true, all of it has not actually been done before. This is especially true if you are willing to include qualifiers. Take this example: Before last weekend, no player had ever completed a cycle with a walk-off homer when the team was trailing at the time of the blast, per Baseball-Reference’s Play Index. Nolan Arenado has now eliminated that previous distinction.

Cycles are fairly rare, occurring 255 times, per Baseball-Reference, roughly once every 700 games, and this decade has been in line with that average. Since the beginning of last season, there have been 99 walkoff wins that ended in a homer, about one in 35 games. Of those 99 walkoffs, just 19 were come from behind homers, and only 13 came in the ninth, roughly one in 266 games. Put those two together, and we have about a one in 750,000 chance of both happening in a game. Given we’ve had about one quarter of that many games played over the last 100 years, it seems reasonable we’ve waited this long.

There have been a few other similar games over the years if you relax some of the requirements. There were only nine games in the Baseball-Reference Play Index where a player hit for the cycle and had the game winning hit in a walkoff. Many might have seen that the last player to hit a walkoff homer to complete a cycle was Carlos Gonzalez in 2010. He hit his shot to break a 5-5 tie against the Cubs. Hopefully the seven year difference between occurrences adds to the perceived rarity as opposed to making it seem commonplace. Read the rest of this entry »

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

Breiling Eusebio, LHP, Colorado (Profile)
Level: Short Season  Age: 20   Org Rank: NR   Top 100: NR
Line: 5 IP, 4 H, 0 BB, 1 R, 7 K

Notes
It’s been a strong 2017 affiliate debut for Eusebio, who looked quite good throughout extended spring training, his fastball often sitting 90-94 with some tail. His low-70s curveball improved as we inched closer to the summer and it, too, was missing bats as June arrived and is currently average, flashing above. Eusebio has trouble timing his delivery, which can negatively impact his command, but he’s deceptive, throws hard for a lefty starting-pitching prospect, and has breaking-ball feel. Very much a prospect.

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Bud Black pitched twice in Denver.

The first occasion was as a minor leaguer for the Omaha Royals in 1983 when he faced the Denver Bears, the Triple-A affiliate of the Texas Rangers. A decade later, Black returned to Mile High Stadium at the foot of the Rocky Mountains for his first and only major-league start at 5,200 feet above sea level — in this case, against the expansion Rockies on May 12, 1993. The next closest stadium in elevation at the time was Atlanta’s Fulton County Stadium (1,050 feet) followed by Kauffman Stadium in Kansas City (886 feet). Perhaps in all of professional baseball only Mexico City’s Foro Sol (elevation: 7,350 feet) was an environment less conducive to pitching.

Even as a minor leaguer in the early 1980s, Black had heard all about the perils of pitching in the thin air of Denver, about what it means to have fewer molecules bouncing off batted balls and pitches. Most often Black heard about how ineffective breaking pitches were there, with the Magnus force exerting less influence over a ball due to an air density of just 82% compared to sea level.

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If the data age were to help one group of pitchers more than any other, if video and scouting reports and pitch data were to help one club’s pitchers relative to all the other ones, you could make a case it should be the Colorado Rockies.

As we know, the Rockies play in baseball’s most extreme run environment. But it’s not just the predominately negative effects of mile-high altitude that make things difficult for Colorado’s pitchers. It’s that those same pitchers also have to visit 14 other National League ballparks that play much differently than their own park — this after more than a month of training in a different environment during spring, as well. Perhaps it is information that can better guide Rockies’ pitcher in making adjustments from location to location.

Jake McGee struggled at times during his first year in Denver last season, a year when he was also dealing with a knee injury. This year he’s healthy, and this season he’s diving into data more than ever before. The combination has allowed the Rockies to enjoy one of the game’s most dominant relievers through the first third of the season.

The Rockies’ surprising start — surprising to some — has been, in part, fueled by a bullpen that ranks second in the NL in WAR (2.6), and third in ERA- (81). Both McGee and offseason reclamation project Greg Holland are significant reasons for that success.

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Near the end of spring training in 2013, just days before the Cleveland Indians were to travel north, then-middle-infield prospect Tony Wolters was called into the manager’s office at the club’s complex in Goodyear, Ariz.

There, Terry Francona and a number of front-office members awaited. They offered Wolters a choice. One option was that he could remain a middle infielder, even though he might be unable to stick at shortstop and even though his .260/.320/.404 line the year earlier at High-A hinted at insufficient offensive production for second base. Furthermore, with Francisco Lindor and Jason Kipnis in the organization, his opportunities would be limited. The other option? He could try his hand at catching.

Wolter’s experience behind the plate, to that point, had been limited to catching one game at Rancho Buena Vista High, from which school the Indians had selected him in the third round of the 2010 draft. He was to turn 21 in June. He had not risen above A-ball.

“They gave me a day to think about it,” Wolters said. “It was kind of the end of spring, so I had to tell them. I couldn’t say ‘No’ to Tito [Francona]… The main thing was, I just wanted to do what they wanted me to do and I felt I could do it.”

Thus, one of the more unusual position changes — at least as measured by successful outcomes — in recent professional baseball began. A reverse Craig Biggio, a move from the middle infield to catcher. The Indians gave Wolters a brief tutorial. He borrowed a glove and caught his first bullpen. Who pitched? Pre-breakout Corey Kluber. “He was pretty good,” Wolters responded. “That day he wasn’t spotting up, so I kind of got messed up a little bit.”

As the Indians’ major- and minor-league teams departed to begin their respective seasons, the club held Wolters back for one week to receive a crash course in catching at their Arizona complex. After a week of experience, he was sent off to High-A ball to become the Carolina Mudcats’ starting catcher. Along the way, he worked with coaches like former major leaguer Sandy Alomar to learn some intricacies of the craft.

Now fast forward three years. Last season, as a member of the Rockies, Wolters ranked as the ninth-best framer and 10th-best overall defensive catcher in the majors, according to Baseball Prospectus’s catching metrics. Ever since Colorado claimed him off waivers on Feb. 16, 2016, Wolters has become one of the better values and under-the-radar additions in the majors. He entered play on Wednesday with a batting line just 10% shy of league average at one of the game’s weakest offensive positions. In 111 career games, he’s accumulated 1.5 fWAR and 2.2 bWARP. He’s helped the Rockies to a 42-26 mark, percentage points behind the Dodgers, entering Thursday.

But what is most interesting about the Wolters story, at least to this author, is how quickly he acquired the skills necessary to become one of the better defensive catchers in the game (even if he’s rated as more of a league-average catcher to date in 2017). Whatever the precise level of his skills, average or better than that, he reached that level quickly. It raises the question of how many other position players could have benefited themselves and their teams by making the move to catcher where the position’s collective wOBA (.307) is above only that of shortstop (.304) this season.

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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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