FanGraphs Baseball

How Unlikely Is Daniel Murphy’s Streak?

Daniel Murphy chose a really good time to play some really good baseball. He’s hit home runs in six straight games, with a chance to extend that streak once the World Series commences on Tuesday. This is a record for postseason play, as you may have learned if you’ve paid any attention to baseball reporting in the last three days.

However, it’s certainly not unheard of. Since 1914, as far back as Baseball-Reference’s game-by-game records go, 28 players have managed a regular-season home run streak of six or more games*. I will not overload you with the full list, but it includes names both very familiar (Gehrig, Mays, Griffey, Bonds) and obscure, folks you’d fully expect on the list and others who would make you scratch your head.

* The standard I used allows a streak to remain intact if a player had no plate appearances in a game, similar though not identical to the official rules governing hitting streaks. This actually arose among the 28, notably with Graig Nettles. In 1984, Nettles hit homers in two straight games, got two games off, homered in his next two, took two more off, and homered in the following two. I also permit a streak to carry over between seasons, which put 1997-98 Mark McGwire on the list.

Going into October, Murphy would have been one of the head-scratchers. In his seven seasons, his highest home-run total is 14, produced this season. He simply lacked the power to be a reasonable candidate for such a feat — until he flipped the switch and lit up the Dodgers and Cubs.

Is Murphy the unlikeliest of the players who have put together a homer streak of six games or more?

To produce an answer, I looked at the seasons in which those on the list did the deed, and took their rates of home runs per plate appearance (HR/PA). I went by season rather than career because such a streak is an event likeliest at a player’s peak, and the chances go up much more than linearly with rising rates. The HR/PA stat seemed better than raw homer totals because probability per time up is more germane to the nature of a streak than mere accumulation.

As I’ve noted, homer streaks are no shock with some players. In 2001, Barry Bonds homered in 10.99% of his plate appearances. He had two separate six-game homer streaks, one in April and one in May. This inaugurated the golden age of home run streaks. Ten of the 28 streaks occurred in just six years, from 2001 to 2006. (As for why they happened in that span, discuss among yourselves.)

Bonds’ 2001 is the top HR/PA rate on the list. The lowest would belong to… Daniel Murphy, with 14 homers in 538 PA for a 2.60% rate. The hitch is that he’s made his streak in the postseason, so regular season numbers are, if not irrelevant, at least incomplete. Adding his postseason numbers to the regular season gives him 21 for 577, coming out to a 3.64% rate.

That’s a very low rate for a homer streaker, but two other players beat him out. Second lowest on the list is George “Highpockets” Kelly. He made his streak for the New York Giants in July 1924, in a year when he hit 21 round-trippers in 627 appearances for a rate of 3.35%. (Interestingly, despite the Polo Grounds being a great place for dead-pull power, Kelly’s whole streak was on the road, mainly at Wrigley Field.)

For the lowest rate on the list, we go to someone who actually beat the streak criterion. Out of the first 28 players with homer streaks at least six games long, six have gone longer. Tied for the record at eight are Dale Long (1956), Don Mattingly (1987), and Ken Griffey Jr. (1993). Behind them, at seven games, are Jim Thome (2002), Barry Bonds (2004), and the 2006 season of our homer-rate anchorman… Kevin Mench.

Mench, who honest to goodness I did not remember had played baseball until he popped up on this list, did not string together his streak in his best power season, or second-best, or third-best. He did it with a mere 13 home runs in 482 PA, a rate of 2.70%. He hit more than half of his season’s homers in an eight-day, seven-game stretch in late April, against the Devil Rays, A’s, and Indians. Six of the games were at home in Arlington, Texas.

That combination of obscurity, low power, and pushing his streak to a seventh game makes Mench’s run easily the most improbable of the 28 who did it in the regular season. As for being more unlikely than Murphy’s, so far it is, with two caveats.

First is degree of difficulty. Murphy’s done his streaking against, not just playoff teams, but super pitchers. His streak includes dingers off Clayton Kershaw, Zack Greinke, and Jake Arrieta, who will be gold, silver, and bronze in some order in the NL Cy Young race. Jon Lester’s no slouch either. Mench’s streak included three games against the Devil Rays, who were still in the laughingstock phase of their existence.

The second caveat is that Murphy’s streak is not over yet. It may fade out in the long wait for Game One, but it’s a bold prognosticator who would take that as a given. If he can stretch it for one more game, the title may be his. If he manages two, it’s definitely his.

That just one more reason to look forward to Tuesday. And maybe Wednesday.


What’s Behind David Price’s Postseason Struggles?

David Price can’t pitch in the postseason, maybe you’ve heard. It’s a decent 56.2 inning sample at this point, but it’s just a little bit more than a month’s worth of work. He’s had six worse months in his career.

Still, to be fair to the hand-wringing, if he had a month with a 4.10 FIP, we’d be talking about it here as well. So let’s try to look at why David Price has struggled in the postseason. Because his regular and post-season strikeouts minus walks are almost identical, it’s obviously about the home runs. His home run rate in the postseason is 77% higher than it is in the regular season!

And there’s a little something to this. A combination of a couple little things — one in his control, one not — may have lead to more home runs in the postseason than he’s seen in the regular season.

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JABO: The ALCS Isn’t Some Crazy Bullpen Mismatch

Allow me to argue something that isn’t going to matter in a day or two. That’s the thing about writing about playoff series — no matter what, the relevance is fleeting. It all seems so important in the moment; it’s all over in just a few blinks of the eye. This argument probably isn’t going to mean very much, and it would’ve been better made before the ALCS began, but think about series keys. A full series is almost entirely unpredictable, only a little less unpredictable than one or two games, so think of this as a general series note, being made with the series in progress.

What it is, I think, is a matter of team identities. When people think about the Kansas City Royals, they think about defense, clutch hitting, and the bullpen. Holy crap, the bullpen, that’s been so valuable for them in the past. It seems like they got past the loss of Greg Holland without even missing a beat. The Toronto Blue Jays? When people think about the Blue Jays, they think about home runs, and David Price, and Marcus Stroman, and home runs. They’re the could-be and should-be and have-already-been offensive juggernaut put together to blast its way to the Series. The Blue Jays are supposed to have the obvious strength. The Royals are supposed to do more of the little things.

One of those being, get the late outs. And even the middle outs, depending on things. The Royals bullpen has a reputation, now, and it’s been fairly earned. The Royals bullpen is thought of as shortening ballgames, a group of arms the opponent doesn’t want to see because it means a total offensive shutdown. The way the pen gets talked about sometimes, it’s like it’s almost invincible. It is, without question, very good. Even without Holland. But an easy thing to miss is the Blue Jays aren’t much worse. Even without Brett Cecil. I don’t know to what extent the bullpens will matter over what’s left of this series, but it doesn’t look like a terrible mismatch.

Read the rest on Just A Bit Outside.


Job Postings: Los Angeles Angels of Anaheim Baseball Operations

Just to be clear, there are two separate positions here.

Position: Los Angeles Angels of Anaheim, Director, Quantitative Analysis

Location: Anaheim

Description:
This position is responsible for developing and overseeing the research and analytics initiative within Baseball Operations, reporting to the General Manager and Assistant General Manager. Angels Baseball is an equal opportunity employer.

Responsibilities:

  • Direct and develop Quantitative Analysis staff by identifying strong candidates, supervising projects, and providing constructive feedback.
  • Perform advanced quantitative analysis on baseball datasets to improve Baseball Operations decision-making, including predictive modeling and the development of an internal player projection system.
  • Effectively present analysis through the use of written reports, tables, and data visualization methods to disseminate insights to other members of the Baseball Operations staff and aid in decision-making.
  • Identify new techniques, models, and algorithms for application to internal processes.
  • Meet with vendors and make recommendations for investment in new data and technology resources to enhance Baseball Operations decision-making.
  • Contribute to general baseball decision-making and generate ideas for player acquisition, in-game strategy, and roster construction.
  • Manage components of Baseball Operations budget related to Quantitative Analysis department.
  • Other projects as directed by General Manager and Assistant General Manager.

Qualifications:

  • Advanced degree or equivalent experience in statistics, mathematics, computer science, or a related field.
  • Demonstrated ability to effectively communicate complex concepts to colleagues possessing a diverse set of backgrounds and with varying experience with quantitative methods.
  • Minimum of five years work experience in mathematical, statistical, and predictive modeling.
  • Demonstrated expertise with baseball datasets and sabermetric analysis.
  • Demonstrated ability in problem-solving and project management and a desire and ability to act as a mentor to members of the analytics staff.
  • Demonstrated expertise with R, STATA, SPSS, SAS, or similar statistical computing software.
  • Demonstrated expertise in relational database development and administration with Microsoft SQL Server, MySQL, or other database systems.
  • Knowledge and demonstrated ability with computer programming and machine learning techniques.

Compensation:
This position is compensated.

To Apply:
Please submit your resume and cover letter here.

Position: Los Angeles Angels of Anaheim, Baseball Information Analyst

Location: Anaheim

Description:
The Los Angeles Angels are seeking a Data Scientist for the team’s Baseball Analytics group. The Baseball Information Analyst will work closely with the Director, Quantitative Analysis and our analytics team to research, develop, and test mathematical, statistical, and predictive models that support Baseball Operations. Angels Baseball is an equal opportunity employer.

Responsibilities:

  • Research, design, and test predictive and statistical models to enhance Baseball Operations decision-making.
  • Provide guidance for and aid in the development of junior members of the analytics staff.
  • Work with Systems Architect to design and build decision-support tools and support the development of baseball systems.
  • Effectively present analysis through the use of written reports, tables, and data visualization methods to disseminate insights to other members of the Baseball Operations staff and aid in decision-making.
  • Other projects and related duties as directed by Director, Quantitative Analysis.

Qualifications:

  • Advanced degree or equivalent experience in statistics, mathematics, computer science, or a related field.
  • Demonstrated ability to effectively communicate complex concepts to colleagues possessing a diverse set of backgrounds and with varying experience with quantitative methods.
  • Excellent analytical and problem-solving skills.
  • Experience with baseball datasets and sabermetric analysis.
  • Demonstrated expertise with R, STATA, SPSS, SAS, or similar statistical computing software.
  • Proficiency with Microsoft SQL Server, MySQL, or other relational database systems.
  • Experience with computer programming and machine learning techniques.

Compensation:
This position is compensated.

To Apply:
Please submit your resume and cover letter here.


Contract Crowdsourcing 2015-16: Day 10 of 15

Free agency begins five days after the end of the World Series. As in other recent offseasons, FanGraphs is once again facilitating this offseason a contract-crowdsourcing project, the idea being to harness the wisdom of the crowds to the end of better understanding the giant and large 2015-16 free-agent market.

Below are links to ballots for five of this year’s free agents, representing the second collection of starting pitchers.

Other Players: Brett Anderson / Nori Aoki / Alex Avila / Mark Buehrle / Marlon Byrd / Asdrubal Cabrera / Yoenis Cespedes / Wei-Yin Chen / Bartolo Colon / Johnny Cueto / Chris Davis / Rajai Davis / Alejandro De Aza / Ian Desmond / Stephen Drew / Dexter Fowler / David Freese / Alex Gordon / Jason Heyward / Torii Hunter / Chris Iannetta / Austin Jackson / John Jaso / Kelly Johnson / Matt Joyce / Howie Kendrick / Justin Morneau / Daniel Murphy / David Murphy / Mike Napoli / Dioner Navarro / Gerardo Parra / Steve Pearce / Alexei Ramirez / Colby Rasmus / Alex Rios / Jimmy Rollins / Geovany Soto / Denard Span / Justin Upton / Juan Uribe / Chase Utley / Will Venable / Shane Victorino / Matt Wieters / Chris Young the Outfielder / Ben Zobrist.

***

R.A. Dickey (Profile)
Some relevant information regarding Dickey:

  • Has averaged 218 IP and 1.8 WAR over last three seasons.
  • Has averaged 1.7 WAR per 200 IP* over last three seasons.
  • Recorded a 2.1 WAR in 214.1 IP in 2015.
  • Is projected to record 1.3 WAR per 200 IP**.
  • Is entering his age-41 season.
  • Made $12.0M in 2015, as part of deal signed in December 2010.

*That is, a roughly average number of innings for a starting pitcher.
**Prorated version of 2016 Steamer projections available here.

Click here to estimate years and dollars for Dickey.

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Theo Epstein: Free Agent Soothsayer

Earlier this week, Red Sox president Dave Dombrowski compared the current Red Sox roster to the one currently featured by the Kansas City Royals. For those readers just arriving here today in a time machine from three years ago, that might be surprising. Because for a long time, that would not have been a gesture of praise. For a long time, the Royals were bad; the Red Sox, typically better. But last year Boston missed the playoffs and Kansas City went to the World Series. This year, again, Boston missed the playoffs and Kansas City is very possibly on its way to the World Series. It’s not particularly daring to suggest that the Royals are better than the Red Sox wherein baseball is concerned.

Dombrowski’s decision to compare his roster favorably to the Royals’ make sense: there’s a natural inclination in all of us to imitate the qualities of those we perceive to be better. So of course Dombrowski would compare his last place team to the club that has now reached the ALCS (and, maybe soon, the World Series) in two consecutive seasons. Heck, who wouldn’t want to be like the Royals?

To what degree, though, will the complexion of that Kansas City club, and the means by which it was built, actually influence Dombrowski’s choices this offseason when considering how to construct his own major-league roster? And to what degree will it influence other front offices? If the Royals win the World Series and become the chosen franchise to emulate, can we expect relievers to command top dollar, maybe more than otherwise? To find teams clamoring for contact-oriented athletes? A secret trustworthy source thinks so. Okay, fine, it’s Theo Epstein. Here’s what Epstein said to reporters this past Monday.

The only thing I know for sure is whatever team wins the World Series their particular style of play will be completely in vogue and trumpeted from the rooftops by the media all offseason — and in front offices — as the way to win. If we win the World Series it’s going to be a necessity for every team to develop their own core of young, homegrown position players. If the Mets win it will be required that you have four ridiculous young starting pitchers on the same staff. If the Royals win you need to have speed and athleticism and contact up and down your lineup. If the Blue Jays win you need to fill your lineup with righthanded, epic mashers and make a huge trade at the deadline.

It’s tempting to say Epstein is overstating the case. After all, are MLB teams, ridiculously rich enterprises increasingly run by the cream of the Ivy League, really so susceptible to something as frivolous as who wins a single four-game series? Hell if I know, but even if I did know I’d take Theo Epstein’s opinion over mine. And faced with a choice between conducting a tedious study to verify the truth of his claim or just blindly accepting it blindly, well, in Theo we trust, eh?

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Jeff Sullivan FanGraphs Chat — 10/23/15

9:05
Jeff Sullivan: Hello friends

9:05
Jeff Sullivan: Welcome to Friday baseball chat

9:05
Jeff Sullivan: Where based on early indications we’re going to talk a lot about managers? My excitement is through the damn roof

9:05
Comment From Tommy Lasordid
Odds that Gabe Kapler will be Dodgers manager in 2016? I loved him in “Welcome Back Kotter.”

9:06
Jeff Sullivan: I kind of thought he’d be named the manager when the Dodgers first hired him a while back, but it makes sense they had to give him a little seasoning. Now? Now he’s the odds-on favorite.

9:07
Jeff Sullivan: Smart guy, playing experience, a real uniter. Super motivating. If the Dodgers believe a manager’s No. 1 duty takes place in the clubhouse, Kapler appears to be a wonderful option there who won’t give anything back on the strategic side of things

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Examining the Mets’ Full-Count Aggression

Sitting on the desk of nearly every manager in baseball before any given game are several large packets of information, compiled by that team’s analytics department about that day’s opponent. The packets are thick, and the front pages typically contain images with which you’re likely familiar simply from reading FanGraphs every day. Red and blue heat maps, sometimes varying by handedness, pitch type or count. Spray charts, usually with lines as the visual component rather than dots, and almost always split up by ground balls, fly balls and line drives. The middle and back pages, presumably, get more and more detailed, and the most interesting thing I’ve seen is command data for each opposing pitcher, split up by pitch type.

Condensed versions of these packets are placed in players’ lockers several hours before first pitch, met with varying levels of reception. Some can be seen rigorously studying them, others will give them one quick glance over before crumpling them up and throwing them in the trash.

Information is a good thing, but sports are still physical and reactionary by nature, and for some players, information overload certainly exists as a con. In all reality, for a middle-of-the-season noon game against the Phillies on getaway day, it probably doesn’t matter too much. We’re past that point in the season, now. The scouting reports are to be read. The packets are to be studied.

Over the next week, one American League team will be learning everything there is to know about the New York Metropolitans. Their unique individual tendencies, strategies, weaknesses and strengths. Where they hit the ball, where they pitch the ball, where they stand in the field, how they react to different situations and more. In the grand scheme of things, the advantages to be gained from this information are small, sure, but every little advantage in the World Series is an advantage in the World Series.

Somewhere in the middle of that packet in the manager’s office may exist a page about a team’s tendencies, at the plate, by count. It’s a page that might be skipped over in July. It’s not a page that gets skipped in October. No pages get skipped in October.

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Edinson Volquez and the Postseason Velocity Bump

Twitter was apoplectic. Drug tests were demanded. Old suspensions were being brought up. Hands were wrung. Edinson Volquez? Throwing 96s and 97s deep into his start? Where is this velocity coming from? This can’t possibly be right.

Turns out, Volquez hasn’t even added the most velocity this postseason. He’s fourth or fifth among starters, depending on your definition, and he’s not too far from the the norm that we should be bugging out. The postseason, like the debut, comes with adrenaline, and that adrenaline leads to a bump in velocity. Baseball is that simple sometimes.

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Effectively Wild Episode 750: A Postseason Smorgasbord

Ben and Sam discuss a smattering of postseason topics, including Kyle Schwarber, a playoff-team draft, ALCS Game 6, and more.