Corey Kluber, the Cubs, and Small Sample Size

The World Series Notes column that ran earlier today included quotes from Dexter Fowler and Ben Zobrist on the subject of Corey Kluber. More specifically, their lack of success against the Indians right-hander. The sample sizes are small, but nevertheless real. The two Cubs came into tonight’s game a combined 1 for 20 against Kluber.

They weren’t alone in their woe. The nine players in Chicago’s starting lineup were 4 for 35, with 15 strikeouts, in their cumulative career against the Cleveland ace.

Do small sample-size results mean anything in a given game? Conventional wisdom says no. It is, after all, small sample size. That doesn’t mean it can’t hint at future performance. Some players simply don’t see the ball well against certain pitchers, which is something you can’t quantify. And if a player isn’t careful, the conundrum can go from his eyes to between his ears.

“It’s a mentality,” said Cubs outfielder Chris Coghlan. “Some pitchers, the more you face them, it domes you up. You’re like, ‘Man, I’m getting out all the time. I don’t feel good.’”

“Guys know if they’re comfortable against a pitcher or not,” confirmed Cubs hitting coach John Mallee. “They know how they felt in the box, and that’s something you can’t see in the numbers.”

Tonight’s numbers looked all too familiar to most members of the Chicago lineup. They went 4 for 22 against Kluber, with nine strikeouts. Eight of those punch outs came in the first three innings.

Did a multitude of Cubs lack confidence in the box in Game One of the World Series? The answer to that question is an unequivocal no. This is one of the best hitting teams in baseball. They aren’t about to be cowed, no matter how good the pitcher.

That doesn’t mean subconscious doubt didn’t begin to creep into a few heads. As for how well the NL champs were tracking the ball, the number of swings and misses, and called strikes, tell a story.

Which brings us back to sample size, which now stands at 8 for 47, with 24 strikeouts. Still too small to be meaningful in a certain sense. As much as anything, what it says is that Corey Kluber is very good.

The Cubs will face Kluber at least one more time this October, and while they’ll do so with stiff upper lips, it’s hard to imagine them being fully confident.


What On Earth Has Gone On at Progressive Field?

It is terribly unsexy to put together any kind of article about park factors. I know that; I’ve done it. But, here I am, for two reasons:

  1. at least two World Series games are about to be played at Progressive Field
  2. what in the hell?

The meat of this is the following horrible-looking plot. I’m sorry that it looks so horrible but, what are you going to do about it? This post is already published. I slapped some numbers together using the Baseball Reference Play Index. For each year since 1994, I gathered numbers for Indians games in Cleveland, and I gathered numbers for Indians games not in Cleveland. Then I calculated some single-year “park factors” by just calculating ratios. Here are some of those ratios:

progressive-field

Arguably the most important one is the one tracking runs per game. I’m not the first person to see this. Tony wrote a couple relevant park-factor articles in September. But look at how that dotted line moves, after the stadium first opened. For a few years, the ballpark was somewhat hitter-friendly. Then it took a turn. Between 2003 – 2014, Cleveland reduced run-scoring by about 6%, with one odd offensive spike in 2007. That spike is important — there’s danger in trying to make too much out of single-year park factors. But look at the last two years. The park last year boosted offense by 26%. This year, 21%. Now we’ve got an extreme two-year park factor, that seemingly came out of nowhere. For a long time, the park was kind to pitchers. Somehow, lately, it’s played like a nightmare.

Batting average? Way up, relative to numbers in games outside of Cleveland. OBP? Way up. Slugging percentage? Way up. Batting average on balls in play? Way up. Slugging percentage on balls in play? Way up. Interestingly, also, the walk-rate factor is up, and the strikeout-rate factor has dipped. This year, the home-run factor took off, although last year homers in Cleveland were actually slightly down. That was made up for by a bunch of doubles.

Frequently, on FanGraphs, you come across posts that try to get at the answer to something. I don’t have answers here. Instead, I’m just raising a question. What’s been happening at Progressive Field, to drive so much offense over the past two years? Is this really just a random, yet randomly-sustained spike of statistical noise? Does this somehow have to do with the installation of the newer scoreboard? Has there been a bunch of high-rise construction in the surrounding area? Have wind patterns changed? Why has Progressive been so hitter-friendly? Because, based on the last two years, Progressive has been very hitter-friendly. I don’t know how that could impact the World Series coming up, but you could see some baseballs absolutely take off.


Cleveland Might Not Have a Bullpen Advantage

I just wrote about Andrew Miller. Everyone’s written about Andrew Miller. Miller has been the story of the Cleveland bullpen, and the bullpen has been the story of Cleveland’s success. By this point, it’s all well-trod ground — the Indians have gotten this far because Terry Francona has been so aggressive to get to his relievers, and in particular to get to his best ones. It’s easy enough to take this and run with it, figuring that the bullpen must be the Indians’ relative World Series strength.

I have to be honest with you, though. I’m not entirely clear on just how much of an advantage the Indians really have there. Yes, Miller is one of the best. Maybe the very best! But let me just show you a table. This table is what causes me to hesitate.

World Series rosters haven’t been announced yet, but I went ahead and made some guesses about the upcoming bullpens. I gave Cleveland and Chicago seven relievers each, and then I plugged in their actual ERAs and FIPs, and their projected ERAs and FIPs. The last step was weighting the numbers, since the seventh reliever won’t pitch nearly as often as the first or second guy. Weighting requires its own guesses, but I assigned a number between 1 and 7 to each reliever. Zach McAllister, for example, got the 1, for Cleveland. Andrew Miller got the 7. I weighted the numbers by these designations.

Stats!

2016 World Series Bullpens
Team Adj. ERA Adj. FIP Proj. ERA Proj. FIP
Cubs 2.77 2.99 2.99 3.14
Indians 2.53 3.20 3.15 3.18

“Adj.” just means “Adjusted,” which is a different way of saying “Weighted.” The first two stat columns reflect what the relievers did in 2016. The last two stat columns reflect the projections for the relievers. The Indians look better in the very first column, but that’s also arguably the least-important column of the four. If you put everything together, the Cubs bullpen looks like it’s basically as good as the Indians’ unit. That isn’t something you’d necessarily expect, given that conversations we’ve all been having, but it might just be because relieving has been *the* strength of the Indians. The Cubs have had plenty go right, so the bullpen gets less attention.

The Indians’ big flashy advantage is Miller. Obviously. He can come in in any inning, and he can go multiple innings, and we don’t yet know how hard is too hard to push him. Miller has already handled so much of the workload, but based on precedent, that’s unlikely to keep up to such a degree, unless the Indians somehow manage to sweep. Aroldis Chapman is the Cubs’ equivalent, and he’s barely worse than Miller is. He’s just less flexible, and seemingly less durable. But the Cubs have been prepared to use him in multi-inning stints.

There’s one place where this might break down. One place that, I guess, involves two players. The numbers like Hector Rondon and Pedro Strop. They were good overall in 2016, and they project to be good, too. But Rondon had a late-season stint on the DL, and Strop did, too, and if they’re not close to what they usually are, then the Cubs are in worse shape. The pitchers insist they’re okay, but, it’s the playoffs. Every pitcher insists he’s okay. Joe Maddon hasn’t leaned very heavily on these guys and maybe the Cubs know they’re compromised. That’s a big variable.

From here, however, I only have numbers to go off. The numbers say there’s not really a bullpen gap at all. Count this among the reasons why the Cubs are being viewed as fairly heavy favorites.


Fall League Daily Notes: October 21

Eric Longenhagen is publishing brief, informal notes from his looks at the prospects of the Arizona Fall League and, for the moment, the Fall Instructional League. Find all editions here.

Braves 2B Travis Demeritte has looked tremendous at second base this fall. Not only has he made several acrobatic plays but he’s handled some bad hops and sucked up errant throws on steal attempts as well. While his hands remain somewhat rough, Demeritte’s range and athleticism have forced me to reckon with the idea of plus-plus defense at second base — as well as to remember if I’ve ever put a 7 on a second baseman’s glove before. I don’t think I have, and I suppose it’s worth asking if such a thing even exists, as one might wonder why a 70 or 80 glove at second base couldn’t play shortstop in some capacity. I think the right concoction of skills (chiefly, great range and actions but a poor arm) can churn out a plus-plus defender there. I’d cite Ian Kinsler, Brandon Phillips and Dustin Pedroia, and Chase Utley as examples from the last eight or 10 years. It’d be aggressive to put a future 7 on Demeritte’s glove right now because his hands and arm accuracy are too inconsistent, but those are things that could be polished up with time.

Tigers RHP Spencer Turnbull was up to 94 and mixed in five different pitches last night. Nothing was plus and Turnbull doesn’t have especially good command but I liked how he and Brewers C Jake Nottingham sequenced hitters and how to and that Turnbull was willing to pitch backwards and give hitters different looks each at-bat. He and Rays RHP Brent Honeywell have the deepest repertoires I’ve seen so far in Fall League.

Giants righty Chris Stratton sat 89-92 last night with an average mid-80s slider that is good enough to miss bats if he locates it, and last night he did. I think the changeup is average, as well, while Stratton’s curveball is a tick below but a useful change of pace early in counts. He looks like a back-end starter.

Quite a few defenders got to air it out last night. Here are some grades I put on guys’ arms:

Dawel Lugo, 3B, ARI: 6

Miguel Andujar, 3B, NYY: 6

Pat Valaika, INF, COL: 5

Gavin Cecchini, INF, NYM: 45

Christin Stewart, OF, DET: 4

Angels CF Michael Hermosillo, who was committed to Illinois to play running back before signing with Anaheim after the 2013 draft, displayed tremendous range in center field last night. He looks erratic at the plate but he hit well at Burlington and Inland Empire this year and is an obvious late-bloomer follow as a two-sport prospect from a cold weather state.


Jon Lester Should Have Madison Bumgarner’s Reputation

Last night, Jon Lester took the mound for the Cubs, and for most of the game, the conversation was about he can’t do: hold runners on. The Dodgers danced and pranced off first base, taking leads they wouldn’t take against any pitcher, and daring him to throw over to first base. But you know what the Dodgers didn’t do against Jon Lester? Score runs.

Okay, fine, they got one, but for most of the night, Lester just shut the Dodgers offense down. Because that’s just what he does in October.

You know about Madison Bumgarner’s postseason dominance by now; that’s a well-told story at this point. So, just for fun, here’s a table of some numbers that might surprise you.

Lester and Bumgarner, Postseason
Postseason IP BB% K% HR/9 BABIP LOB% ERA- FIP- xFIP-
Lester 119 6% 21% 0.9 0.248 83% 60 86 94
Bumgarner 102 5% 22% 0.7 0.236 84% 57 85 93

Lester has been basically identical to Bumgarner in the postseason, once you account for the league and run environment differences of their postseason opportunities. Even their underlying numbers are almost identical across the board. Lester, though, has now been this dominant in 17 extra playoff innings, so you could argue that his October resume is actually even more impressive.

For all the talk about the Giants ace as the dominant postseason hurler of his time, Lester is in that conversation ,too. And after another great outing last night, he’s one of the big reasons the Cubs are now one win away from the World Series.


Job Postings: Detroit Tigers Baseball Analytics Manager, Data Architect and Intern

To be clear, there are three postings here.

Position: Detroit Tigers Manager, Baseball Analytics

Location: Detroit
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Job Posting: Houston Astros Baseball Research & Development Analyst

Position: Houston Astros Baseball Research & Development Analyst

Location: Houston
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Ryan Merritt Proves You Can’t Predict Baseball

Cubs manager Joe Maddon likes to put a saying — often an inspirational quote — on the clubhouse chalkboard before games. Earlier today, I asked Toronto’s John Gibbons what message he’d put on his club’s chalkboard leading into ALCS Game 5. His response was, “We let Bautista do that.”

In retrospect, “You can’t predict baseball” would have been apropos.

The Indians weren’t supposed to beat the Blue Jays this afternoon. Not at raucous Rogers Centre with an obscure, and inexperienced, rookie on the mound. Ryan Merritt had all of 11 big-league innings under his belt, and in terms of prospect helium, he’s not exactly Julio Urias. Let’s be honest, there was a greater chance that Merritt would crack than dazzle. Bautista went as far as to say the youngster would be “shaking in his boots.”

Before the game, Terry Francona admitted that Merritt was nervous. The Cleveland skipper also predicted that those nerves would lessen once the game started.

They did. In the first inning, the kid induced weak ground balls from Bautista and Josh Donaldson, then fanned Edwin Encarnacion. “Merritt” chants were started in the stands, but they never gained steam. Neither did Blue Jays bats; they continued to fizzle. Merritt set down the first 10 he faced, and when he finally did give up a hit, it was followed by a double play.

Through four innings,the bullpen phone had remained eerily quiet. Cinderella still hadn’t called for her slippers. The Indians led 3-0.

One out into the fifth, the rookie with the pedestrian fastball surrendered a soft single, and was lifted. He’d done his job. Expected to do little, Merritt instead was receiving congratulatory handshakes after retiring 12 of the 14 hitters he faced. The game was now in the capable hands of the Cleveland bullpen. Then it was over.

The Indians are on to the World Series, and Ryan Merritt — unknown, unheralded, unfazed — is one of the biggest reasons. Baseball.


Fall League Daily Notes: October 19

Eric Longenhagen is publishing brief, informal notes from his looks at the prospects of the Arizona Fall League and, for the moment, the Fall Instructional League. Find all editions here.

Yankees RHP James Kaprielian sat mostly 92-93 mph and touched 96 one start after sitting 94-97 in his first appearance since an elbow flexor strain. His velocity is worth monitoring, not only because he’s returning from injury but because the 94-plus we saw before his injury and in his first AFL start was not the kind of velo was saw from Kaprielian at UCLA and we’re still trying to figure out exactly what this guy is.

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Projecting Indians Game 5 Starter Ryan Merritt

In a few hours, Ryan Merritt will take the mound for the Indians in Game 5 of the ALCS. Statistically, Merritt doesn’t look like much. He’s posted exceptionally low strikeout numbers at every stop, and although he’s coupled them with minuscule walk rates, KATOH isn’t sold. KATOH likes tall pitchers who strike guys out. As a 6-foot hurler who pitches to contact, Merritt is the exact opposite of that.

KATOH pegs Merritt for just 1.4 WAR over his first six seasons by the traditional method and 1.5 WAR by KATOH+, which integrates Baseball America’s rankings. To help you visualize what his KATOH projection entails, here is a probability density function showing KATOH+’s projected distribution of outcomes for Merritt’s first six seasons in the major leagues.

merritt

To put some faces to Merritt’s statistical profile, let’s generate some statistical comps for the command-oriented lefty. I calculated a weighted Mahalanobis distance between Merritt’s performance this year and every Triple-A season since 1991 in which a pitcher faced at least 350 batters. In the table below, you’ll find the 10 most similar seasons, ranked from most to least similar. The WAR totals refer to each player’s first six seasons in the major leagues. A lower “Mah Dist” reading indicates a closer comp.

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