Archive for Padres

The Second-Half Slides That Have Crowded the Wild Card Races

It didn’t explicitly come up in the Effectively Wild podcast spot I did highlighting this year’s Team Entropy series, but one reason why the Wild Card races that I covered in my second installment early this week are so wild — with five teams chasing two spots in the AL, and five more chasing one spot in the NL — is a handful of prominent collapses. The Mets, Padres, and Red Sox all spent a good chunk of the season occupying playoff positions, with New York and Boston occupying the top spots in their respective divisions for more days than any of their competitors. Yet all three teams could miss out on October baseball thanks to some of the most drastic first half-to-second-half drop-offs we’ve seen in recent years.

The Mets, despite a slew of injuries, led the NL East — at times with company in first place — for nearly four months, from April 13 to August 6, with a slight return after falling out of first that stretched the window to August 13. They somehow did that by posting winning records only in May (17-9) and July (14-13), and even after being overtaken, they remained within striking distance for about half of a dreadful August during which they went 9-19. Since the July 30 trade deadline, when they acquired Javier Báez but arguably didn’t do enough to bolster their rotation — a decision that was exacerbated by Jacob deGrom’s subsequent setback, which came to light almost immediately after the deadline passed — they’ve gone just 17-28. At this writing, they’re 72-75, 5 1/2 games behind the Braves in the NL East, and five behind the Cardinal for the second NL Wild Card spot, with cumulative playoff odds of 2.1%. I’m skeptical they’ll be relevant by the time I next cover Team Entropy.

The Red Sox had an on-and-off relationship with first place in the AL East, occupying at least a share of it from April 8 through May 23, and then again for most of a stretch that ran from June 19 through July 30. They’ve gone just 20-24 since the deadline passed, for the third-worst record in the AL; they did so while the Rays (29-14), Blue Jays (31-16), and Yankees (29-16) peeled off the AL’s top three records in that span. A wave of COVID infections has played a part, knocking 12 players — including Xander Bogaerts, Enrique Hernández, Chris Sale, and Matt Barnes — out of action since August 27; notably, the Red Sox are one of the six teams that has failed to reach the 85% vaccination threshold to loosen protocols, though the majority of those infected were vaccinated. They’re now 8 1/2 games back in the AL East, but occupying the second Wild Card spot, a percentage point behind the Blue Jays and half a game ahead of the Yankees, with Playoff Odds of 75.3%.

The Padres were projected to be one of the NL’s two best teams, albeit in a division occupied by the other one, the Dodgers. But while the defending champions have indeed been one of the top two, it’s been the Giants, not the Padres, who have provided their closest competition; San Diego has spent just 14 days in first place in the NL West. Even so, they spent nearly three-quarters of the season with Playoff Odds of 75% or better, but have gone just 16-25 since the deadline, and 10-21 since August 10. Having just won back-to-back games for the second time in the past five weeks, they’ve closed the gap behind the Giants to, uh, 18 1/2 games, but their Playoff Odds have dwindled to 32.0%.

As you can see, there’s a pretty wide spread when it comes to these three teams’ chances of playing October baseball, but each has fallen significantly from the spots they occupied earlier in the season. Depending on where I set the endpoints, their slumps might appear even more acute, which works for storytelling purposes, but is harder for comparative analysis. Since all three were riding rather high in early July, I decided to see how their declines in winning percentage from the first 81 games — a point the Padres reached on June 29, the Red Sox on June 30, and the Mets on July 4 — to the second compared to those of other teams in recent years.

As it turns out, the Padres’ drop from a .593 first-half winning percentage — the first 81 games of the season, not the uneven “halves” defined by proximity to the All-Star break — to a .422 second-half mark so far is the fourth-largest since 2012, the start of the two Wild Card team era; their dip ranked second until this two-game hot streak. Meanwhile those Red Sox and Mets rank among the dozen largest drop-offs, with yet another team from this year, one I hadn’t even considered for this piece given my apparent East Coast bias, in the top 20:

Largest Winning Percentage Drop-Offs After First 81 Games
Team Year W-L1 WPCT1 W-L2 WPCT2 WPCT Dif Postseason
Brewers 2014 49-32 .605 33-48 .407 -.198
Athletics 2014 51-30 .630 37-44 .457 -.173 Wildcard
Mets 2012 44-37 .543 30-51 .370 -.173
Padres 2021 48-33 .593 27-37 .422 -.171
Giants 2016 50-31 .617 37-44 .457 -.160 Wildcard
Rangers 2019 45-36 .556 33-48 .407 -.149
Diamondbacks 2018 47-34 .580 35-46 .432 -.148
Pirates 2012 45-36 .556 34-47 .420 -.136
Mariners 2018 50-31 .617 39-42 .481 -.136
Red Sox 2021 50-31 .617 33-34 .493 -.124
Mets 2021 44-37 .543 28-38 .424 -.119
Rangers 2016 52-29 .642 43-38 .531 -.111 Division Champ
Pirates 2013 51-30 .630 43-38 .531 -.099 Wildcard
Yankees 2018 54-27 .667 46-35 .568 -.099 Wildcard
Phillies 2018 44-37 .543 36-45 .444 -.099
Astros 2015 47-34 .580 39-42 .481 -.099 Wildcard
Athletics 2021 47-34 .580 31-33 .484 -.096
Nationals 2015 45-36 .556 38-43 .469 -.087
Blue Jays 2014 45-36 .556 38-43 .469 -.087
Astros 2017 54-27 .667 47-34 .580 -.087 WS Champ

That’s not really a list you want to be on, judging by the minimal postseason impact of those teams. Obviously, we don’t yet know the playoff fates of the Padres, Red Sox, Mets (well, I think we know that one), and A’s (welcome to the party). Of the other 16 teams, seven made the playoffs; four won Wild Card games (the 2013 Pirates, ’15 Astros, ’16 Giants, and ’18 Yankees), but the only one that won a Division Series or a later round was the ’17 Astros, who, well, you know. Only one team with a drop-off of at least 87 points and a sub-.500 record in the second half won so much as a Wild Card game, namely the 2015 Astros.

Since the A’s turn up here, their arc is worth retracing as well. Despite being outscored in both April and May, strongly suggesting that they were playing over their heads, they climbed to the top of the AL West, and spent all but a single day of the next two months there, from April 20 to June 20. Despite their stellar June (17-9), an Astros team that had been lurking just behind them overtook them, and while the A’s were just 1 1/2 games back at the 81-game mark, and just 2 1/2 back at the 115-game mark (August 14) after some ups and downs, they’ve lost 18 of their last 29 and fallen seven games back. Their Playoff Odds peaked at 76.9% on June 18, and spent the next two months mostly in the 40-60% range, but they’ve plummeted from 62.5% on August 12 to just 4.3%.

So that’s two AL and two NL teams that have each taken rather dramatic tumbles this season. As you can see from the table above, it’s the second time within this span we’ve seen four teams from a single season take such falls; in 2018, the Yankees and Mariners both crumbled, as did the Phillies and Diamondbacks, with Philadelphia even sliding below .500 for the season to finish 80-82.

Not surprisingly, all four of these teams that have crashed in 2021 have underachieved relative to their Pythagenpat records during the second half. The Padres are the only ones who were underachieving during the season’s first half as well:

Second-Half Sliders
Team RS1 RA1 WPCT1 Pyth WPCT1 RS2 RA2 WPCT2 Pyth WPCT2
Red Sox 5.06 4.47 .617 .557 5.10 4.93 .493 .516
Padres 4.57 3.60 .593 .607 4.47 4.89 .422 .459
A’s 4.54 4.14 .580 .543 4.70 4.28 .484 .543
Mets 3.72 3.64 .543 .509 4.27 4.64 .424 .463
SOURCE: Baseball-Reference

For the Padres, this has mainly been about the collapse of a rotation projected to be the majors’ best coming into the season; it’s been lit for a 5.52 ERA and 4.82 FIP in this second half. Yu Darvish has been battered for a 7.67 ERA and 5.74 FIP in 54 innings during this slide, that while landing on the injured list twice, for left hip tightness and lower back tightness. Ryan Weathers has completely collapsed (9.00 ERA, 7.55 FIP in 38.1 innings) after a promising beginning, Chris Paddack (5.74 ERA, 4.13 FIP in 42.1 innings) has had some bad luck, and even Joe Musgrove has regressed (3.79 ERA, 4.31 FIP). On the other hand, Blake Snell (3.03 ERA, 3.34 FIP) turned his season around, but a groin strain forced him out during the first inning of his September 12 start against the Dodgers. Adding insult to injury, the Padres reportedly were close to acquiring Max Scherzer at the deadline, only to watch as the Dodgers snatched him away, and he’s been brilliant. Scrapheap pickup Jake Arrieta? Not so much.

Run prevention has become a major issue for the Red Sox as well, with both the rotation and bullpen (4.42 ERA and 4.59 ERA, respectively) underperforming their FIPs by about four-tenths of a run. High-leverage guys such as Barnes, Adam Ottavino, and Hansel Robles have been particularly lousy. On the offensive side, the Sox have been a juggernaut, but while they’ve received a 100 wRC+ or better from nine out of the 11 players with 90 or more PA since July 1, Bogaerts (107 wRC+) and J.D. Martinez (108) haven’t been themselves, and rookie center fielder Jarren Duran (50) was over his head before landing on the COVID-19 injured list.

The Mets have continued to show holes on both sides of the ball. Offensively, Jeff McNeil (91 wRC+), James McCann (66), and Dominic Smith (56) have come up notably short even while the arrival of Báez (156), the return of J.D. Davis (118), and the upswing of Francisco Lindor (139) after a dreadful beginning to his season have helped; the last of those made the 36 games he missed due to an oblique strain a particularly big thumbs down. While late July additions Rich Hill and Trevor Williams have been pretty good, they don’t add up to a deGrom; meanwhile, the much-awaited arrival of Carlos Carrasco (5.59 ERA, 4.38 FIP) hasn’t really panned out, and Taijuan Walker (7.04 ERA, 6.90 FIP) has turned into a pumpkin. Key relievers such as Seth Lugo, Trevor May, Jeurys Familia, and Edwin Díaz have taken steps backwards of varying size at the wrong time as well.

By runs scored and allowed, the A’s have produced the same Pythagenpat winning percentages in both halves, but have gone from overachieving by 37 points to underachieving by 59 points, making for both the largest second-half shortfall and the largest overall swing relative to their expected record. The second-half fades of Sean Manaea and James Kaprielian and the frightening loss of Chris Bassitt (who’s still rehabbing his way back) have loomed large in the rotation. The bullpen — particularly Lou Trivino, Sergio Romo, and Yusmeiro Petit, three of the most four heavily-used relievers in the second half — has proven shaky as well.

For as much as these four teams have in common in terms of the severity of their second-half slides, and for as crowded as they’ve made the Wild Card races, it’s clear by now that the A’s and Mets are just hanging on, while the Red Sox are odds-on favorites to make it through, and the Padres are hardly out of it. Still, when the playoff slate is finally set, at least some of these teams will look back and wonder what might have been, and how they fell so far.


Daily Prospect Notes: 9/14/2021

These are notes on prospects from Eric Longenhagen. Read previous installments of the Daily Prospect Notes here.

Games on 9/12

Mason Fox, RHP, San Diego Padres
Level & Affiliate: Double-A San Antonio Age: 21 Org Rank: 38 FV: 35+
Line:
1 IP, 3 K

Notes
Fox’s previously dominant fastball (he had a 0.55 ERA and 0.98 WHIP in 2019, mostly in short-season ball) wasn’t as nasty during the spring. Sitting in the low-90s, he struggled and was shut down, and was put on the Development List for most of July and August. Back for about three weeks now, his fastball velocity has more often been in the 93-95 range again, though his curveball still lacks bat-missing power and depth. Because 2021 is his roster evaluation year (either he’s put on the 40-man or subject to the Rule 5 Draft in December) and because he’s thrown so few innings so far this season, the Arizona Fall league is perhaps a logical assignment for Fox and the Padres.

Jackson Rutledge, RHP, Washington Nationals
Level & Affiliate: Low-A Fredricksburg Age: 22 Org Rank: 5 FV: 45+
Line:
4 IP, 3 H, 1 BB, 1 R, 4 K

Notes
Speaking of other potential Fall League candidates (I’m drawing logical conclusions here, not reporting anything or leaking dope), Jackson Rutledge has struggled to take the ball every fifth day because of an early-season shoulder injury, and more recently, recurring blister issues. Sunday was Rutledge’s third blister-free start since his most recent activation. He’s sitting in the 94-98 range since returning, with his stuff intact coming off those dreaded shoulder issues. Obviously context is important here (it’s not as if Rutledge has gone every fifth day all year and is sitting 94-98), but that’s an encouraging sign for his health. Having amassed just 32 innings this season, Rutledge is a prime Fall League candidate. Read the rest of this entry »


Sunday Notes: Xzavion Curry is Commanding Attention

Xzavion Curry is a prospect-on-the-rise in the Cleveland organization. A seventh-round pick in 2019 out of Georgia Tech, the 23-year-old right-hander is 8-1 with a 2.23 ERA in 18 starts between Low-A Lynchburg and High-A Lake County. With the lion’s share at the latter, Curry has allowed just 65 hits in 93 innings. Moreover, he’s fanned 118 batters and issued just 16 free passes.

Command is Curry’s forte, but it’s not his only attribute. As our own Eric Longenhagen wrote in early June, the 5-foot-11, 195-pound hurler’s “vertical arm slot creates angle and carry on a fastball that plays well at the letters.” Augmenting Curry’s 91-94 mph four-seamer are a curveball, a slider, and a changeup.

He’s only been a full-time pitcher for a handful of years. Curry came to Georgia Tech as a two-way player, having excelled both on the mound and at short as an Atlanta-area prep. That his college coaches made him a full-time pitcher is a testament to changing times. Curry is African-American, and Black players have historically been channeled into position-player roles. Black pitchers have been at a premium.

“That does enter my mind,” said Curry, who had a 17-inning scoreless streak come to an end earlier this week. “As I go around to different places, and play different teams, I don’t really see a lot of Black pitchers. So that is something I’ve noticed, but as the younger generation goes forward, those guys just keep getting better and better. We have a couple in our organization, and I’m pretty sure we’ll start to see more and more Black pitchers.”

Curry cited a different sport when addressing his plus command. Read the rest of this entry »


Examining the Padres’ Fastball Woes

The other day, I was listening to an episode of Rates and Barrels, an always informative baseball podcast on The Athletic hosted by Eno Sarris and Derek Van Ripper, and learned something new. The two went over each team’s ‘Location+,’ a metric developed by Max Bay that quantifies pitcher command, with teams like the Brewers, Giants, and Rays recording the highest marks. That’s no surprise; what did surprise me is that the Padres stood out as being uniformly bland, receiving average grades for every pitch type except cutters.

San Diego’s’ pitching staff is underperforming, injured, and recently experienced a change in leadership. But I figured it’s still one of the league’s better ones. Since Location+ is proprietary, I can’t consult the exact numbers, though it did inspire me to look at where Padres pitchers had been locating their pitches. And in doing so, I came to a realization: They might have a four-seam fastball problem.

Pitchers perform differently depending on the count; they’re great when they’re ahead, about average when even, and terrible when behind. Unless a microscopic sample size is involved, this principle applies to pretty much everyone. So when looking at how Padres pitchers have performed by count, these results shouldn’t seem out of the ordinary:

Padres Pitchers wOBA by Count Type
Count wOBA League wOBA
Ahead .193 .217
Even .309 .304
Behind .430 .425

Consider, though, how they compare against the league averages. The Padres are comfortably better than the average pitcher when ahead in the count, but the same can’t be said for other instances. In disadvantageous situations, they seem mediocre at best, and the whole picture is underwhelming. You might have guessed where I’m going with this, but basically, the idea is that four-seam fastballs are to blame. Here are the wOBAs against them by count, along with where the Padres rank league-wide. I’ve also included xwOBA to isolate the effects of batted ball luck:

Padres Fastball wOBA & xwOBA
Count wOBA wOBA Rank xwOBA xwOBA Rank
Ahead .193 3rd .212 7th
Even .378 30th .339 20th
Behind .500 30th .486 28th

As the kids say, this ain’t it. A .193 wOBA against four-seamers once ahead in the count is great. But a whopping .500 wOBA after falling behind is… not so great. The gap does narrow with xwOBA as the metric of choice; after all, part of the Padres’ recent struggles are due to good players underperforming, which is naturally fixable. But there’s a significant gap nonetheless, and it does seem tied to how they are locating their fastballs. For the sake of time and sample size, I focused on the team’s starters with 50 or more innings pitched. If we examine where their fastballs have ended up, perhaps we can also analyze why they have been hit hard.

Alright, enough talk. You’re here for the meat and potatoes. First up is Blake Snell, whose fastball locations I categorized by count type and batter handedness, presented from the pitcher’s point of view:

You can see that he likes to live higher up when ahead in the count, which is ideal, since batters are more likely to chase. Otherwise, however, Snell’s fastballs are heading straight down the pipe. Even his higher fastballs are still squarely in the strike zone; with the amount of ride he generates, he can afford to climb the ladder more often, a feat he accomplished in previous seasons. He’s also all over the place, which the wide contours illustrate. The command isn’t quite there, and it shows.

Next is Yu Darvish, the Padres’ other ace. Unlike Snell, his four-seamer isn’t his primary pitch, but it still accounts for around 20% of his repertoire. Another detail to note is the wOBA against his four-seamer by month:

  • April: .328
  • May: .178
  • June: .066
  • July: .398
  • August: .513

After appearing invincible in June, the four-seamer has spiraled out of control in recent months. Because the downward trend coincides with the crackdown on sticky stuff, though, it’s easy to think Darvish’s heater has become worse. That’s true, but not markedly so. An average spin rate of 2,577 rpm before the June 15 ultimatum is now down to 2,473, and it only cost Darvish about an inch of ride, which isn’t all that significant.

There hasn’t been a change to how he’s locating his heater, either. But maybe there should, because Darvish seems like another pitcher who isn’t capitalizing on the vertical movement he generates:

When ahead in the count, Darvish is hitting the outside corner against lefties and righties alike, but besides that, there’s not much else in terms of location. And like Snell before, the high fastballs aren’t really all that high. The contours are also wide and scattered across the strike zone, which might suggest a lack of strategy. I could be reading too much into it, but even at a glance, those heat maps aren’t very appealing.

Joe Musgrove is similar to Darvish, in that the four-seamer acts as a secondary pitch but is nonetheless an integral part of his arsenal. Without it, his fantastic breaking pitches probably aren’t as attractive. So how does he locate the heater? Here’s a look:

That’s better! Those ahead in the count fastballs, they’re up (sort of), but at least they aren’t centered around the heart of the zone. I also appreciate how Musgrove is seemingly exploring the bottom third of the zone when behind, as a way to sneak in a called strike or two.

In his case, though, the stuff is arguably a greater issue than command. Despite an elite raw spin rate, Musgrove doesn’t actually generate much vertical movement on his heater; in fact, it’s one of the league’s worst relative to his velocity. This is presumably why he has continued to shy away from it, gradually replacing his four-seamers with cutters and more breaking balls. Maybe right now demonstrates the best usage of it; I’m not entirely sure. But among Padres starting pitchers, his fastball woes are the least severe.

Then we move onto the youngsters, Chris Paddack and Ryan Weathers. To avoid beating the same drum for too long, I’ll sum up Paddack with words: He probably can and should live up in the zone more often, but there’s been a snag in his stuff. After a solid rookie campaign, his fastball lost a ton of vertical break in 2020, and as far I can tell, he’s still working toward returning to those 2019 levels. The ERA and dearth of strikeouts this season are concerning, but it’s doubtful he’s this ineffective of a starter moving forward. We’ll give him a pass.

On the other hand, Weathers sticks out like a sore thumb. It’s okay that this is his first season in the big leagues. It’s not okay that every pitch he has — fastball, slider, and changeup — ends up in a terrible spot. He’ll figure it out as he accumulates innings and experience, but for now, here’s a slice of reality for the Padres:

Those aren’t good areas to place a fastball even with superb movement, which unfortunately Weathers has lacked so far.

But let’s put everything we’ve explored into context. What’s an example of good fastball command, and how does that turn out when visualized? Originally, I’d planned a comparison between the Giants’ and Padres’ fastball locations, then scrapped it after realizing how daunting the task would be. There’s a useful remnant, though. Below is a heat map of Johnny Cueto’s four-seamers this season:

It’s the year 2021, and Cueto has a higher whiff rate and a better run value on his four-seamer than Snell. Yes, Cueto uses his less frequently, but consider where they’ve ended up. Ahead in the count, those fastballs are perched right on top of the strike zone, with a tendency to veer away from right-handed hitters. Naturally, they aren’t as high up when the count is even, but remember, that’s where Snell roamed after getting ahead, not even. And even when behind in the count, Cueto has done a solid job of avoiding the bottom third of the zone.

If you buy pitch location as a reason for the Padres’ pitching woes, their unexpected dismissal of Larry Rothschild makes a bit more sense. There’s not much a coach can do about a pitcher’s stuff; no decree will magically add three inches of movement to a slider. Location, however, is within his realm of control. To wit, Mets pitchers in 2018 went from generally avoiding the inner half to thriving there, which then-pitching coach Dave Eiland had emphasized. Over time, perhaps the Padres realized Rothschild’s own philosophy was doing more harm than good.

I’m not 100% sure if location, let alone fastball location, is the main culprit. Heat maps are hardly an exact science; they’re approximations of a pitcher’s command whose gaps are colored in by a model and charted. They also don’t factor in pitch sequencing, another element a pitching coach could influence. So maybe this is all wrong! But two facts remain true: (a) the Padres, in general, haven’t been able to avoid dangerous fastball locations; and (b) their fastballs are either getting smacked or taken for balls. If they do indeed need help, it needs to come fast.


A Steep Dive into Shohei Ohtani’s Latest Homer, and Other Statcast Extremes

Shohei Ohtani does something amazing virtually every time he sets foot on a baseball field, and Thursday was no exception. Leading off the afternoon’s contest against the Orioles in Camden Yards, he connected with Keegan Akin’s second pitch of the day, a hanging curveball in the middle of the zone, and hit a towering homer:

It wasn’t just the fact that this was Ohtani’s 41st homer of the year, extending his major league lead, or that it was the third time he’s led off a game with a homer, which he did on June 25 against the Rays in Tampa Bay and on August 14 against the Astros in Anaheim. No, what stood out to these eyes was the combination of the Statcast specs — a 45-degree launch angle and a 110.7-mph exit velocity — on this shot that made it such a majestic drive, and one that particularly caught the eye of this launch angle aficionado.

I have a thing for what I’ve sometimes termed “launch angle porn,” one that predates the Statcast era. Even amid the unending barrage of home runs and their resultant highlights, I find that the visceral thrill of watching the beginning of a sky-scraping home run is the best part. Particularly when viewed on a two-dimensional screen of whatever size, we have no idea of the final distance that struck sphere will travel, but after the sight and sound of contact — and particularly, the mellifluous melody of a ball hitting the sweet spot of a wooden bat — launch angle is the first feedback we get, whether or not there’s a number attached to that steep ascent. As for exit velocity and distance, those come later, whether it’s a couple of seconds after when we see where that ball lands, or once the Statcast numbers are in.

Wherever you sit along the spectrum of baseball observers, from newcomer through casual fan, diehard, junkie, nerd, and professional, you are by no means obligated to care about such numbers. But if you’re the type that gets a kick out of at least an occasional peek at them, not for their own sake but because they increase our understanding of the game (and of ourselves): welcome to the club, and to today’s tour of the season-to-date’s Statcast extremes. This ride isn’t for everyone, but if it’s your thing, buckle up.

Read the rest of this entry »


Job Posting: San Diego Padres Data Engineer

Position: Data Engineer

Department: Baseball Operations

Reports To: Director, Baseball Systems

Job Summary:
The Data Engineer is primarily responsible for designing and developing data pipelines and helping to ensure high quality data is readily available to the Padres R&D and Systems teams. The role is responsible for working internally to optimize proprietary data as well as helping to build out the ingestion of third party data from a variety of vendors. Read the rest of this entry »


Testing the Depth: The National League

Yesterday, we explored the roster depth of the American League playoff contenders, identifying the strengths and weaknesses that might prove decisive down the stretch for the teams whose playoff odds sit above 10%. Today, we’ll do the same for the National League squads with October ambitions.

National League East

Atlanta Braves
Strengths: Atlanta’s slow and steady climb into first place has involved a considerable amount of roster management. One side effect of all the maneuvers that have gotten them where they are is significant depth. During Travis d’Arnaud’s absence, the team learned that William Contreras is a capable big league catcher. They filled their considerable outfield holes with Joc Pederson, Jorge Soler, and Adam Duvall, while Cristian Pache, who flamed out early in the season, has finally gotten hot at Triple-A Gwinnett and should be a nice September addition. The Gwinnett infield is packed with players who have big league experience, like Jason Kipnis and Ryan Goins. The return of Huascar Ynoa, with Ian Anderson not far behind, creates a sudden bevy of rotation options. Read the rest of this entry »


The Padres Descend Into Danger

A month ago, things were fine. After the games of July 17, the Padres were 55-40, hanging on to the periphery of the NL West chase. Five games back of the Giants, they didn’t have a ton of hope — our odds gave them a 10.4% chance of winning the division — but they were close enough to dream, and a 5.5-game edge in the Wild Card race meant they had a 92.3% overall chance of reaching the playoffs. Today, that number is down to 46.3%. Yikes!

It didn’t happen overnight. By looking at the slow decline of their chances, I think we might learn a thing or two about what went wrong, and maybe get a sense of what they’ll need to do the rest of the year to avoid plummeting all the way out of the postseason, an outcome that felt downright inconceivable before their recent swoon.

July 24
Record since July 17: 3-3
FG Playoff Odds: 92.3%
Wild Card Lead: 5.5 games

Things were looking up! A huge group of reinforcements had just come off the injured list, as Drew Pomeranz, Blake Snell, Yu Darvish, Ryan Weathers, and Austin Nola all returned to action. On the field, the team fended off some NL East opposition — Nationals, Braves, and Marlins — and kept pace in the standings. Even better news: the trade deadline was approaching fast, and there’s no one better to add to a team than AJ Preller. The Padres were linked to everyone, and after their offseason frenzy, every rumor seemed credible. The playoffs seemed all but a certainty; the real question was whether they could catch the teams ahead of them in the West. Read the rest of this entry »


Attempting to Predict Fernando Tatis Jr.’s Outfield Defense

Fernando Tatis Jr. is now an outfielder for the San Diego Padres. Despite his recent stint on the injured list — his third of the season, and his second related to his shoulder — he might end up collecting the NL MVP provided he can stay productive and healthy, all while moving away from the only position he’s played in professional baseball. In his return to action on Sunday, he raised his wRC+ to 172 and got his first playing time in right field. There wasn’t much to be gleaned from the four balls hit his way, however, leaving us to wonder how well he’ll handle the position going forward. Mike Petriello at MLB.com has covered the unprecedented nature of this move, but I want to take a look at what we can actually expect from Tatis defensively. I’m not the first to consider the question. Last week, Michael Ajeto highlighted Tatis’ defensive ability in an article for Baseball Prospectus and delved into the analytical precedent for shortstops who have recently made the conversion to the outfield. Today, I’ll look at what we might predict about Tatis’ outfield defense given some of the other data we have about his speed.

But let’s set the stage. The biggest flaw in Tatis’ game since his debut has been his defense. After a 2019 characterized by 18 errors and poor defensive metrics, he seemed right the ship last season. But his defense has since regressed, and while his -4.3 Def runs at shortstop this year hasn’t made him unplayable at the position, it’s certainly not ideal. Still, this move wasn’t necessitated by his play at short, but rather by Tatis’ recurrent shoulder problems and the Padres’ stated desire to shield him from further injury, though as Ajeto noted in his piece, whether that will actually work is an open question.

That’s how we ended up with Tatis in the outfield. Before getting too far ahead of ourselves, however, it’s important to know how his numbers at short are derived. His penchant for throwing errors is well documented and they do serve to drop his DRS, UZR, and Outs Above Average (OAA) considerably. We can peek at the component parts of UZR to separate the errors from Tatis’ range, but we aren’t even close to a three-year sample and thinking about UZR sample size is a Pandora’s Box that should be kept closed for today, anyhow. For our purposes, we’re not going to pay much attention to throwing errors or even Tatis’ range on grounders as a shortstop. The baseline we care about is how well he can play right field and quick twitch and speed are the parts of the shortstop skillset that seem mostly likely to translate to the outfield grass. Read the rest of this entry »


Injuries and an Underwhelming Deadline Have Dealt the Padres Significant Blows

Particularly when measured against their competitors in the NL West, the Padres did not have a very good trade deadline — or even a good July. While they added depth to their infield, outfield, and bullpen with a trio of trades, none of those were impact moves. Everything they did was overshadowed by their failure to reach the finish line on a deal for Max Scherzer that was reported as “close” by multiple reporters on Thursday night. Ultimately, though, the three-time Cy Young winner went to the division rival Dodgers in a move that turn(er)ed out to be bigger than anyone expected. Beyond that, the Padres could only watch as the Giants landed slugger Kris Bryant. And to add injuries to insult, the deadline dust had barely settled when San Diego had to place both Fernando Tatis Jr. and Chris Paddack on the Injured List on Saturday.

In his post-deadline ZiPS roundup from Monday, Dan Szymborski illustrated the summer swap meet’s impact on the Playoff Odds for each individual team. His estimates showed the Giants as the NL West’s biggest winner at the deadline, with the Dodgers winners (albeit with diminishing returns given where they started), and the Padres clear losers:

ZiPS NL West Playoff Probabilities – Trade Deadline
Team Div% Before Div% After Chg Playoff% Before Playoff% After Chg ▴ WS Win% Before WS Win% Chg%
Giants 43.1% 45.2% 2.0% 95.9% 97.4% 1.5% 9.8% 10.3% 0.4%
Dodgers 48.7% 49.2% 0.5% 97.3% 98.0% 0.7% 10.5% 10.6% 0.1%
Padres 8.2% 5.7% -2.5% 75.5% 73.8% -1.7% 4.4% 3.9% -0.4%

All of which is to say that the Padres hurt their chances with missed opportunities, and that was before they suffered the one-two punch of the Paddack and Tatis injuries. Chronologically, the Paddack injury came first, but as Tatis is the Padres’ marquee player, we’ll begin there. The 22-year-old shortstop once again suffered a left shoulder subluxation (partial dislocation) while sliding into third base against the Rockies on Friday night. After he singled in his first-inning plate appearance, he had headed to second on Manny Machado’s hot smash to third baseman Ryan McMahon, then lit out for third when the ball ball squirted away from McMahon while trying to transfer it to his glove. Tatis slid feet first, but in attempting to evade shortstop Brendan Rodgers‘ tag, he twisted, caught his left shoulder, and immediately grabbed his arm after being tagged out. Read the rest of this entry »