Delino DeShields on Creating Chaos and Crossing the Plate

When I first talked to Delino DeShields, he was 20 years old and finishing up a season in which he hit .287/.389/.428, with 12 home runs, between Low-A and High-A. More notable is the fact that he stole 101 bases. Hardly anyone noticed. That same year, Billy Hamilton swiped an unprecedented 155.

The introduction to the 2012 interview included the following suggestion: “DeShields may ultimately prove to be the better player.”

The jury is still out. Three-plus years later, the Reds’ jackrabbit has the edge in the running game. However, the more well-rounded Ranger has been better with the bat. In last year’s rookie campaign with Texas, DeShields slashed .261/.344/.374 with a team-best 10 triples. His 25 thefts weren’t anything to write home about, but the son of former big-league speedster Delino DeShields, Sr. isn’t too concerned with stolen base numbers. His primary focus is the Runs Scored column.

———

DeShields on his overall development: “I’ve come a long way [since 2012]. A lot of that is just maturity and being around the game more and more. Here, I’m around veteran guys who are taking me under their wings and showing me the ropes. These are guys who have been there, done that, and they have your back. They’re always pushing me.

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MLB Scores Important Victory in Fan-Safety Lawsuit

In the aftermath of a series of high-profile fan injuries at major-league ballparks this past summer, a federal class-action lawsuit — Payne v. Office of the Commissioner of Baseball — was filed against all 30 Major League Baseball teams this past July. The suit sought to force all MLB franchises to implement additional safety mechanisms to help protect fans from foul balls and broken bats, asking the court in particular to order the league to ensure that foul-pole-to-foul-pole netting was installed in all 30 of its stadiums to protect fans all the way down the foul lines from the dangers of flying objects.

As I noted at the time the lawsuit was filed, the plaintiffs’ odds of winning the case appeared to be slim, as MLB had a number of potentially strong defenses to assert on its teams’ behalf. It was not particularly surprising, then, that MLB formally asked the court to dismiss the Payne lawsuit last November, relying on several of these arguments in the process.

MLB’s legal efforts were rewarded this past Friday when Judge Yvonne Gonzalez Rogers — the California federal judge presiding over the case — ruled that 25 of the 30 MLB franchises should be dismissed from the Payne lawsuit. Moreover, because Judge Rogers’ opinion also suggested that the five remaining MLB teams may eventually be dismissed from the case as well, it appears MLB’s partial victory in the lawsuit could soon become a complete triumph in the not-too-distant future.

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FanGraphs After Dark Chat – 4/12/16

9:01
Jeff Zimmerman: Why match up question Paul?…….well, I guess 18% of our readers failed it

9:01
Paul Swydan: Hey, to each their own, right?

9:01
Paul Swydan: Let’s do this.

9:02
Tom: Melancon, Hanrahan, Bailey, Gagne. Just a few relievers the Red Sox have traded for that were terrible for the club. Any chance the same happens to Kimbrel and/or Smith?

9:03
Paul Swydan: Obviously there’s a chance, but I wouldn’t bet on it. At least not in Kimbrel’s case.

9:03
Jeff Zimmerman: Boston always seems to be late to the party. I am still surprised they haven’t been able to develop more.

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Brandon Finnegan Looks Like a Starter

For a good long while Monday night, Reds fans had reason to be encouraged. The team was already off to a strong start, and then it took a lead on the road against the Cubs, with Brandon Finnegan working on a no-hitter. It promptly came undone. Not only did Finnegan not complete the no-hitter — the Reds didn’t complete a shutout, and actually the Reds didn’t even win the damn game, with the Cubs rallying against the vulnerable bullpen. Reality blows, and it probably wasn’t the last time the Cubs will put the Reds away in some kind of dispiriting fashion. In the span of a few innings, Reds fans were reminded that, yeah, the playoffs probably aren’t going to happen.

I mean, I don’t know. The Reds are still 5-2. Bully for them. They don’t seem like a good team, but teams like this have surprised before. I don’t want to step on any playoff dreams, so I’ll go with this: Perhaps my main positive takeaway has been the work of Finnegan as a starter. I don’t think he’ll be pitching this team into October, but he’s pitched like someone who could do that down the road. That young Reds rotation is starting to take some shape.

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2015 Starting Pitcher Ball-in-Play Retrospective – AL West

With just over a week of the regular season in the books, it’s high time we concluded our division-by-division, ball-in-play-based analysis of 2015 starting-pitcher performance. Last time, we considered the AL Central. Today, it’s the AL West.

First, some ground rules. To come up with an overall player population roughly equal to one starting rotation per team, the minimum number of batted balls allowed with Statcast readings was set at 243. Pitchers are listed with their 2015 division mates; those who were traded during the season will appear in the division in which they compiled the most innings. Pitchers are listed in “tru” ERA order. For those who have not read my previous articles on the topic, “tru” ERA is the ERA pitchers “should” have compiled based on the actual BIP frequency and authority they allowed relative to the league. Here we go:

Starting Pitcher BIP Profiles – AL West
AVG MPH FB/LD MPH GB MPH POP % FLY % LD % GB % ADJ C K % BB % ERA – FIP – TRU –
Keuchel 85.78 90.55 83.52 2.4% 17.2% 18.7% 61.7% 83 23.7% 5.6% 62 73 69
McHugh 86.16 89.25 85.12 3.9% 30.7% 20.0% 45.4% 85 19.9% 6.2% 97 89 78
F.Hernandez 88.81 92.10 87.70 2.0% 24.9% 16.9% 56.2% 92 23.1% 7.0% 88 95 79
Gray 88.85 91.89 87.55 2.5% 28.2% 16.6% 52.7% 86 20.3% 7.1% 68 86 80
Iwakuma 88.71 91.87 87.20 2.1% 29.0% 18.5% 50.4% 100 21.5% 4.1% 88 93 82
McCullers 89.16 92.62 85.87 3.0% 28.8% 21.8% 46.5% 99 24.8% 8.3% 80 81 83
Richards 87.48 92.35 85.20 2.9% 25.1% 17.1% 54.9% 88 20.4% 8.8% 91 96 85
Weaver 86.82 91.59 82.47 6.0% 40.5% 19.0% 34.4% 86 13.5% 4.9% 116 120 89
Shoemaker 87.37 91.81 83.55 3.9% 38.5% 18.5% 39.2% 101 20.4% 6.2% 111 114 90
Happ 89.72 91.82 89.71 4.1% 30.0% 24.3% 41.6% 104 21.1% 6.3% 90 85 91
Hahn 86.56 90.70 84.23 1.3% 21.6% 24.5% 52.6% 92 15.8% 6.2% 84 88 92
Kazmir 87.67 92.37 84.43 2.6% 34.7% 19.8% 42.9% 101 20.3% 7.7% 77 99 93
Santiago 89.38 92.96 85.73 5.9% 47.7% 16.5% 29.9% 99 20.9% 9.2% 90 119 94
Elias 88.40 91.68 86.41 3.3% 33.1% 19.4% 44.2% 98 19.8% 9.0% 103 113 94
T.Walker 90.60 92.96 88.48 3.9% 35.1% 22.4% 38.6% 115 22.2% 5.7% 114 101 95
CJ.Wilson 90.07 92.52 88.70 3.4% 31.6% 21.9% 43.1% 103 19.9% 8.3% 97 100 96
J.Chavez 89.21 93.11 85.85 5.4% 28.6% 22.9% 43.1% 110 20.2% 7.1% 104 96 99
Gallardo 88.53 89.92 87.69 2.4% 26.3% 22.0% 49.3% 96 15.3% 8.6% 85 100 102
C.Lewis 89.47 92.22 86.47 3.5% 40.8% 22.0% 33.7% 111 16.5% 4.9% 116 104 104
Feldman 88.34 90.80 87.63 1.7% 25.8% 23.6% 48.9% 101 13.5% 6.0% 97 108 105
Heaney 89.95 93.39 86.67 4.0% 35.5% 22.2% 38.3% 117 17.8% 6.4% 87 93 109
Graveman 90.07 93.10 87.59 1.3% 27.3% 21.4% 50.0% 115 15.3% 7.6% 101 115 116
N.Martinez 89.04 91.44 87.38 3.6% 30.1% 24.0% 42.3% 109 13.8% 8.2% 99 124 116
AVERAGE 88.53 91.87 86.31 3.3% 30.9% 20.6% 45.2% 100 19.1% 6.9% 93 100 93

Most of the column headers are self-explanatory, including average BIP speed (overall and by BIP type), BIP type frequency, K and BB rates, and traditional ERA-, FIP-, and “tru” ERA-. Each pitchers’ Adjusted Contact Score (ADJ C) is also listed. Again, for those of you who have not read my articles on the topic, Unadjusted Contact Score is derived by removing Ks and BBs from opposing hitters’ batting lines, assigning run values to all other events, and comparing them to a league average of 100. Adjusted Contact Score applies league-average production to each pitchers’ individual actual BIP type and velocity mix, and compares it to league average of 100.

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The Rays Are Becoming Baseball’s Most Aggressive Team

Yesterday I published my annual reminder that it’s never too early to look at the standings. That is, even though we’re through just one week, the Orioles have done themselves a hell of a favor by starting out 6-0. Now, on the flip side, it can be too early to look at the leaderboards. Like, Tyler White is first in baseball in WAR. If you want to find some real signal, you just have to be patient. But sometimes I just can’t help myself. I mean, I practically live on this website, so of course I’m going to go exploring. And, related to that — it’s been just six games, but the Rays are already up to something.

It’s not something entirely new. I wrote about this when the Rays traded for Corey Dickerson, but during last season, the Rays switched to taking a more aggressive offensive approach. So if you were curious, no, that hasn’t been abandoned. The Rays hitters remain aggressive today, and based on the early indications, they’re going to be more aggressive than anyone else.

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KATOH Projects: Tampa Bay Rays Prospects

Previous editions: Arizona / Atlanta / Baltimore / Boston / Chicago AL / Chicago NL / Cincinnati  / Cleveland / Colorado / Detroit / Houston / Kansas City / Los Angeles (AL) / Los Angeles (NL)Miami / Milwaukee / Minnesota / New York (AL) / New York (NL)  / Oakland / Philadelphia / Pittsburgh / San Diego / San Francisco / Seattle / St. Louis.

Last week, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the Tampa Bay Rays. In this companion piece, I look at that same Tampa farm system through the lens of my recently refined KATOH projection system. The Rays have the eighth-best farm system in baseball according to KATOH.

There’s way more to prospect evaluation than just the stats, so if you haven’t already, I highly recommend you read Dan’s piece in addition to this one. KATOH has no idea how hard a pitcher throws, how good a hitter’s bat speed is, or what a player’s makeup is like. So it’s liable to miss big on players whose tools don’t line up with their performances. However, when paired with more scouting-based analyses, KATOH’s objectivity can be useful in identifying talented players who might be overlooked by the industry consensus or highly-touted prospects who might be over-hyped.

Below, I’ve grouped prospects into three groups: those who are forecast for two or more wins through their first six major-league seasons, those who receive a projection between 1.0 and 2.0 WAR though their first six seasons, and then any residual players who received Future Value (FV) grades of 45 or higher from Dan. Note that I generated forecasts only for players who accrued at least 200 plate appearances or batters faced last season. Also note that the projections for players over a relatively small sample are less reliable, especially when those samples came in the low minors.

*****

1. Jake Bauers, 1B (Profile)

KATOH Projection: 8.2 WAR
Dan’s Grade: 45 FV

Bauers spent his age-19 season squaring off against High-A and Double-A pitchers, and more than held his own. Bauers didn’t show any glaring weaknesses offensively, and rode a 14% strikeout rate to a .273/.347/.422 batting line. Bauers doesn’t have the power of a traditional first baseman, but he excels in every other offensive area. Considering how young he’s been for his level, that’s quite an accomplishment.

Jake Bauer’s Mahalanobis Comps
Rank Name Proj. WAR Actual WAR
1 James Loney 6.0 6.7
2 Adrian Gonzalez 5.2 19.1
3 Justin Morneau 6.5 14.9
4 Randall Simon 5.7 1.5
5 Rico Brogna 6.6 4.4
6 Paul Konerko 8.9 9.2
7 Prince Fielder 11.3 24.9
8 Kyle Blanks 5.4 3.7
9 Derrek Lee 6.4 14.6
10 Roberto Petagine 5.5 1.0

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Effectively Wild Episode 860: Week One in Baseball Confirmation Bias

Ben and Sam banter about the most popular picks in BP’s “Beat PECOTA” game, then discuss Rich Hill, the Cubs’ strong start, Ray Searage’s promising pupils, and more.


Job Posting: Toronto Blue Jays Baseball Operations Data Architect

Position: Toronto Blue Jays Manager of Baseball Analytics

Location: Toronto

Description:

The primary focus of this position will be to support the Baseball Analytics Department. Incumbent will learn and understand how decisions are made in all areas of Baseball Operations, develop a familiarity with the data required to make those decisions and create tools and systems to display and expedite the access to that data.

Responsibilities:

  • Understand and document current database structures, historical design decisions, format, definitions, limitations and content of currently used external and internal data feeds, and establish future requirements.
  • Maintain and support the current end to end data warehousing process within Baseball Operations, starting with structured and unstructured data, conceiving and designing appropriate data structures, performing ETL processes to house the data in the data structures and exposing the data structures to end users.
  • Design and manage a new data warehouse capable of supporting reporting and analytics to improve the currently deployed systems.
  • Develop and maintain data quality assurance processes to ensure database integrity in the future.
  • Complete ad-hoc database queries and analysis as dictated by circumstances.
  • Oversee the evaluation, selection, implementation and support of new database systems.
  • Collaborate with members of the Baseball Operations department to develop best practices for storing and displaying baseball data.
  • Recommend new data sources for purchase and/or new techniques to gather data.
  • Develop and maintain conceptual, logical and physical data models.

Qualifications:

  • Bachelor’s degree in computer science, computer engineering, or equivalent professional experience required. Master’s degree a plus.
  • 5-8 years of related work experience is required, including demonstrated knowledge about data management best practices, long-term maintainability of code and ability to effectively solve problems pertaining to data infrastructure and integrity.
  • Must have demonstrated some ability to complete baseball-specific statistical analysis.
  • Previous experience with baseball-specific data, either publically available or otherwise (i.e. Pitch F/X, TrackMan, Statcast, etc.).
  • Proven background in the ability to relate to and communicate effectively with people of varied backgrounds (programmers, analysts, outside data vendors, other front office members, and Major and Minor League coaches, possibly players).
  • Demonstrated ability to successfully design and execute data warehousing projects.
  • Expertise with SQL and relational databases is required.
  • Experience with at least one of Python, Ruby, Perl, C++ and/or other programming languages’ is required.
  • Experience processing large amounts of JSON formatted data strongly preferred.
  • Represent the Blue Jays in a positive fashion to all business partners and the general public.
  • Ability to work evening, weekend and holiday hours as dictated by the baseball calendar.
  • Willing and able to relocate to Toronto.

To Apply:
Interested applicants must do the following:

  1. Why do you want to work in baseball?
  2. Describe a time when you either built a production-level database from scratch or added a new data source to an existing production-level database and explain the steps you took to make sure the process went smoothly.
  3. Please describe any work you’ve done with any publicly available baseball databases.

Riding the Waves of BABIP Variance with Chris Colabello

When Chris Colabello’s first ball in play this season, a line drive with a recorded exit velocity of 103 mph, went directly into the glove of opposing shortstop Brad Miller, it seemed a cruel yet fitting reminder that nothing is given at the start of a new season.

Not even for Colabello, who appears to have used a strong 2015 season to finally lock down a secure job in the major leagues. He produced offense at a level 42% above league average last year when controlling for park factors, and he did so for a playoff team, eventually forcing his way into more than the short side of a platoon with Justin Smoak. He’s not set to play every day for the Toronto Blue Jays this year, but he should have the larger share of a time-split at first.

He appears to have, at long last, made it. Assuming he can keep it up, that is, which few think is a certainty. For most of his baseball career, people have been looking for reasons why Colabello won’t succeed, even now that he’s doing so.

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