Archive for July, 2014

NERD Game Scores: Day of Bullpen Planned in Seattle

Devised originally in response to a challenge issued by viscount of the internet Rob Neyer, and expanded at the request of nobody, NERD scores represent an attempt to summarize in one number (and on a scale of 0-10) the likely aesthetic appeal or watchability, for the learned fan, of a player or team or game. Read more about the components of and formulae for NERD scores here.

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Most Highly Rated Game
Minnesota at Seattle | 22:10 ET
Yohan Pino (21.2 IP, 105 xFIP-, 0.6 WAR) faces Tom Wilhelmsen (47.0 IP, 96 xFIP-, 0.1 WAR). Following the decision to move Felix Hernandez’s next start back to Friday and, simultaneously, to demote right-hander Taijuan Walker to Triple-A Tacoma, Seattle has decided to use only relief pitchers against Minnesota today. A half-hearted inspection of the internet reveals that the White Sox attempted a nearly similar thing on April 30th of this year (although Hector Noesi, who’d made only relief appearances until that point, has gone on to record only starts since then). Otherwise, the most recent example of such a strategy appears to be that instance last September 1st when Jamey Wright started for Tampa Bay — a game, however, which will have been played just after late-season roster expansion.

Readers’ Preferred Broadcast: Seattle Radio.

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Prospect Watch: New Cubs Hitters

Each weekday during the minor-league season, FanGraphs is providing a status update on multiple rookie-eligible players. Note that Age denotes the relevant prospect’s baseball age (i.e. as of July 1st of the current year); Top-15, the prospect’s place on Marc Hulet’s preseason organizational list; and Top-100, that same prospect’s rank on Hulet’s overall top-100 list.

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Billy McKinney, OF, Chicago Cubs (Profile)
Level: High-A   Age: 19.10   Top-15: 3rd (OAK) Top-100: N/A
Line:  333 PA,  17.4 K%, 10.3 BB%, .241/.330/.400 (wRC+ 93)

Summary
The less heralded of the hitters the Cubs’ received in the Jeff Samardzija, McKinney was a 2013 first round selection who profiles as a corner outfielder.

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Allen Craig, Who Once Knew Left Field

Let’s accept that the St. Louis Cardinals could probably use multiple upgrades. Let’s accept that, publicly, the Cardinals are more focused on improving their offense than they are on improving their pitching. Let’s accept that improving a team’s offense is a complicated matter. Let’s accept that part of the problem, but not the whole of the problem, is the struggling Allen Craig. Now then, with all of that accepted, I want to show you an at bat. I promise it’ll go quick. Let’s watch Craig’s first showdown against Brandon Cumpton, from Wednesday night.

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Effectively Wild Episode 489: Statcast’s Impact on Player Evaluation

Ben and and Sam discuss Billy Beane’s Wall Street Journal op-ed and how Statcast will affect scouting and player evaluation.


Job Posting: Twins Developer

Minnesota Twins Developer, Baseball Systems

JOB FUNCTION:  As a member of the front office, collaborate with the Baseball Operations staff to develop, deliver, and maintain data driven solutions for analytics and architecture of player information and evaluation systems. This position requires strong statistical, software development, and database management skills.

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FG on Fox: Maybe it’s Time for Texas to Rebuild

Quick, name the worst team in baseball right now. The Houston Astros are a good choice, as they have lost at least 100 games in three consecutive seasons and are currently tied for the worst record in baseball. The Chicago Cubs are also a candidate, given that they are tied with the Astros in the win column and just traded away two of their best starting pitchers, weakening their roster going forward. Both teams are deep in rebuilding mode, and they are paying the price on the field each day.

However, I’d like to suggest that 2014’s worst team might not be either of these rebuilding clubs, but instead an organization that entered the year with high hopes of contention.

At 38-52, the Texas Rangers are just a game ahead of the Astros in the AL West standings, so if you were just judging by wins and losses, you wouldn’t put them behind Houston just yet. However, since the difference between a win and a loss can often come down to whether one crucial play gets made or not, a team’s record can be a bit misleading. Teams are more effectively evaluated by removing the context from when events occur, and just looking at the value of positive or negative events a team is involved in without regards to the situation of when those events happen.

At FanGraphs, we measure team performance through a model called BaseRuns, which calculates the number of runs a team would be expected to score and allow based on a normal distribution of events. With these expected run differentials, we can calculate team records based on overall performance without the influences of clutch performance, which is generally random and mostly beyond a team’s control.
And BaseRuns thinks that the Rangers have been baseball’s worst team so far this year, without any reasonable contender even coming all that close to their marks of futility.

Based on their total performance to date, we would have expected the Rangers to have been outscored by 105 runs, or a deficit of more than a full run per game played. The next worst total belongs to the Arizona Diamondbacks, but their expected run differential is only -62 runs. If you translate these expected runs scored and allowed totals into wins, the model would forecast the Rangers for a 34-56 record, four games worse than their actual record. As bad as they’ve played, the Rangers have actually been lucky to not be even worse off in the standings.

Read the rest on FoxSports.com.


How Masahiro Tanaka Bears Down

Author’s note: literally simultaneous to the publishing of this post, news emerged that Tanaka is getting an MRI on his arm. Welp! Nothing below is entirely invalidated, but it’s been a while since I’ve had such lousy timing. Let us all learn a valuable lesson.

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When we analyze new players, there’s always a multi-step process. Analysis is nothing but a series of questions, and the first question is always the simplest: is the new player good? Overall, is the new player mediocre, average, good, or great? From there, over time, we start to get a little more detailed. You begin with finding out whether a player is good. Then you can start to understand how a player is good. Within the majors, there are plenty of good players, but they all achieve that level in their own particular ways, and it’s that variety that helps to keep this analysis fresh.

It didn’t take long to answer the first question about Masahiro Tanaka. Yeah, he’s good. He’s real good, as a matter of fact, and he’s one of the players most responsible for keeping the Yankees somewhere within the race. How does Tanaka succeed? Well, we all saw the splitter coming, and, yep, he throws a dynamite splitter, and with his command and unhittability, it’s hard to imagine Tanaka not being successful. By this point we know a lot about the Yankees’ new ace, but we are still filling in details. And here’s another one: Tanaka bears down with runners in scoring position. When situations are at their most dangerous, Tanaka has responded, in an interesting fashion.

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Playing the Regression Game the Right Way

Speculation is part of the fun of watching and discussing sports. “Seriously, if he can keeping hitting like that and the other guy gets his act together at the plate, this offense is really going to be fun to watch in the second half.” This sort of casual speculation is not incompatible with trusting the projections. The line between speculation and analysis-based projection may not always be clear, though, and there are cases when it can be crossed to fit one’s own views.

It is all part of what I call the “Regression Game.” Okay, maybe that is not a great name, but it beats something like “The Process of Filtering Through Projections And Determining Collective True Talent.” Whatever the proper name, one can find it in various forms, particularly in the middle of the season. I am not saying one should never try to take into account various scenarios, that is, to play the game. Just like baseball, though, we need to make sure we are being consistent and playing the regression game the Right Way.

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Joey Votto Needs His Legs

We talk a fair bit about Joey Votto in these electronic pages. Some may say we do it too much, perhaps. But it’s for a reason. It’s not that he’s paying us to — he’s not paying me at least. He’s simply a somewhat-fascinating specimen as far as baseball players go. He’s smart, he’s a pretty good model of consistency, he never pops out.

He’s also been a small point of consternation between the statistically-inclined and fans that adhere to a more traditional understanding of the game. There’s been disagreements revolving around his penchant for walks, his attitude toward RBI, his preference to hit to all fields rather than try and pull everything for homeruns. But fans on both sides of the argument can agree that Joey Votto just hasn’t been very good this season.

Actually, allow me to check myself before I subsequently wreck myself. Joey Votto, at least on the whole, has actually been more than serviceable in 2014. As a hitter, he’s still been 28% better than league average according to wRC+. But the whole story doesn’t tell the most recent story, and the recent version of Joey Votto has been subpar by any standards. Read the rest of this entry »


Mike Zunino, First-Pitch Killer

An easy way to think about productivity is Efficiency x Frequency. If you’re really efficient at doing something, but you don’t do it very often, you won’t be very productive. Look at the career of Carlos Quentin. When he’s played, he’s always hit, but rarely is he healthy enough to play, so he hasn’t actually produced much. By the same measure, being frequently inefficient won’t get you very far, either. True production comes from maximizing your opportunities while remaining efficient.

A few weeks back, Jeff Sullivan wrote about Carlos Gomez and his unprecedented first-pitch swing rate. Gomez is swinging at the first pitch in over half of his plate appearances. That’s one of the highest rates in recent history. Not only that, but he’s doing some pretty serious damage on those pitches, to the tune of a 1.046 OPS.

Where there’s a leaderboard, there’s someone in second place. In this case, that guy’s first-pitch swing rate is still quite a bit lower than Gomez’s because, as we’ve covered, Gomez is in relatively uncharted territory. But still, there exists a guy who has the second-highest first-pitch swing rate in baseball. There has to. And that guy happens to be doing even more damage on those pitches than Gomez. That guy happens to be doing more damage on first pitches than just about anybody, really. That guy happens to be Mike Zunino.
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