FanGraphs Baseball

How Did You Feel About the 2015 Season? (National League)

Hello friends, and welcome to the National League version of Monday’s American League poll post. This is part of a little project, and after this I’m done gathering information, which means you’re done having to participate. (You don’t have to participate. But please do!) I don’t know exactly where the project is going to go, but I know I’d love to have the data.

I’ll copy and paste. This post is for fans of teams in the National League. If there are multiple teams you hold near and dear, feel free to vote in multiple polls. If you consider yourself more a fan of the game in general, then you can either sit this out, or vote in the poll for the team you feel most strongly about.

All I want to know: how did you feel about the 2015 season? As far as following your favorite team was concerned, how would you rate your overall fan experience? Use whatever criteria you like. How you feel is how you feel — vote according to that feeling. How was the regular season? Did the end spoil the middle? Did your team have a bunch of exciting young players? Did you love going to the ballpark? I understand there’s a lot of input here — there are months of individual days, each day with its own feeling. I just want to know your overall grade, as you reflect on the season that was. There are no wrong answers. Unless you lie to me for no reason.

All the polls are below. Click a team name to go straight to that part and bypass the others.

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FanGraphs Audio: Dave Cameron Introduces the Offseason

Episode 608
Dave Cameron is both (a) the managing editor of FanGraphs and (b) the guest on this particular edition of FanGraphs Audio, during which edition he considers the free-agent cases of Jason Heyward and Ben Zobrist, speculates wildly on Scott Boras’s work week, and discusses another means by which Major League Baseball appears to be turning billions into even more billions.

This edition of the program is sponsored by Draft, the first truly mobile fantasy sports app. Compete directly against idiot host Carson Cistulli by clicking here.

Don’t hesitate to direct pod-related correspondence to @cistulli on Twitter.

You can subscribe to the podcast via iTunes or other feeder things.

Audio after the jump. (Approximately 42 min play time.)

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00:42:04

Job Posting: TrackMan Analytics/Operations Intern

Position: TrackMan Analytics/Operations Intern

Location: Stamford, Conn.

Description:
Join TrackMan’s team as an Analytics/Operations Intern for TrackMan Baseball, a US based sports technology firm. You will take on a critical role in a small, fast moving entrepreneurial company that is breaking new ground in sports.

In this position, you will primarily be responsible for reviewing TrackMan data from a significant number of MLB, Minor League baseball, NCAA stadiums and numerous amateur tournaments during the 2016 baseball season. You will also have the opportunity to perform statistical analysis as directed.

We are hiring on a rolling basis, and the internship wraps up at the conclusion of the Major League baseball season, with the opportunity to stay on for further projects. Candidates with only summer availability will also be considered for a shorter term internship.

This is a great opportunity for someone who wants to break into the baseball community and get experience with data available exclusively to professional baseball teams. Full training is provided and you’ll have the opportunity to work closely with members of the TrackMan staff and interface with our partner teams. Weekend and evening availability is important.

Requirements:

  • Excellent knowledge of baseball.
  • Proficiency in Microsoft Excel.
  • Ability to work independently and collaboratively.
  • Strong attention to detail and ability to work well with others.

Qualifications:

  • Bachelors or Masters degree in Statistics, Mathematics or a related field.
  • Strong knowledge of databases, SQL, and R statistical software.
  • Experience working with large baseball related data-sets.
  • Python or other scripting language experience is a plus.

Compensation:
This position is compensated.

To Apply:
Please email TrackMan.


How Did You Feel About the 2015 Season? (American League)

With the World Series a week and change behind us, but with the offseason still almost entirely ahead and unknown, now seems like the right time to try a little project I’ve had on my mind for a month or so. The annoying(?) bit is that the project requires your participation, in the form of voting in a poll, but then that’s a really easy thing to do, and the question should be pretty simple, and on my end, I get to spend a couple posts embedding polls for your own feedback. Something easy for you, and something easy for me? Everybody wins!

This post is for fans of teams in the American League. The National League post will go up Tuesday morning. If there are multiple teams you hold near and dear, feel free to vote in multiple polls. If you consider yourself more a fan of the game in general, then you can either sit this out, or vote in the poll for the team you feel most strongly about.

All I want to know: how did you feel about the 2015 season? As far as following your favorite team was concerned, how would you rate your overall fan experience? Use whatever criteria you like. How you feel is how you feel — vote according to that feeling. How was the regular season? Did the end spoil the middle? Did your team have a bunch of exciting young players? Did you love going to the ballpark? I understand there’s a lot of input here — there are months of individual days, each day with its own feeling. I just want to know your overall grade, as you reflect on the season that was. There are no wrong answers. Except probably in the Royals poll.

All the polls are below. Hopefully the anchor text works to send you to your team directly!

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The 2016 Hall of Fame Ballot Custom Leaderboards and Survey

In case you haven’t heard, the new Baseball Hall of Fame ballot was announced today. Fifteen newcomers — players who retired in 2010 — join 17 holdovers. As usual, the list is a mix of token candidates, interesting players and slam dunks. Here is a custom leaderboard for position players and pitchers for just the newcomers. And here’s a table for them, in case you don’t want to play around with the leaderboard.

2016 Hall of Fame Ballot – Newcomers
Name G IP ERA FIP xFIP PA wOBA wRC+ BsR Off Def WPA RE24 WAR
Ken Griffey Jr. 2671 11304 0.384 131 -7.3 444.1 -39.6 45.2 529.0 77.7
Jim Edmonds 2011 7980 0.385 132 -8 317.7 73.3 31.5 352.0 64.5
Jason Kendall 2085 8702 0.334 99 0.7 -6.8 130.8 11.1 92.8 39.8
Mike Hampton 425 2268.1 4.06 4.27 4.57 845 0.289 67 -1.2 -36.9 91.2 0.4 -5.3 35.9
Troy Glaus 1537 6355 0.365 120 -2.4 157.7 -20.4 12.1 159.1 34.4
Luis Castillo 1720 7471 0.327 97 33.4 7.1 37.9 1.4 18.3 28.4
Randy Winn 1717 6878 0.333 100 28.2 28.8 23.5 9.7 70.1 28.1
Mike Lowell 1601 6500 0.346 108 -39.7 25.8 22.7 1.8 77.9 26.0
Trevor Hoffman 1034 1089.1 2.87 3.08 3.78 32.2 174.8 26.0
Billy Wagner 853 903 2.31 2.73 2.76 28.5 196.6 24.1
Garret Anderson 2228 9177 0.334 100 -7.2 -12.6 -59.6 5.5 101.6 24.0
Mark Grudzielanek 1802 7603 0.32 91 4.1 -80 69.4 -8.2 -60.1 23.2
Mike Sweeney 1454 5848 0.366 117 -2.7 121.2 -106.5 15.0 206.1 21.1
Brad Ausmus 1971 7102 0.299 76 -23.2 -244.9 183.7 -22.5 -219.2 17.2
David Eckstein 1311 5705 0.316 92 10.6 -49.7 28.6 -2.7 -40.7 16.8

Note that for the pitchers, I included their position player WAR, as well as their RE24 and WPA. For Mike Hampton, that’s a bump of 7.9 WAR. For the two relievers, it’s a demerit of 0.1 WAR.

The most interesting questions are what you think of Jim Edmonds and Trevor Hoffman. Edmonds makes for a fascinating debate. I’m not sure Hoffman does. Honestly, looking at these dashboard numbers, it’s hard to make the case that Hoffman deserves inclusion. Or, if he does, then Wagner definitely deserves inclusion as well.

Here’s the same leaderboards (position players, pitchers) and table for the entire ballot.

2016 Hall of Fame Ballot – Everyone
Name G PA wOBA wRC+ BsR Off Def RE24 WPA WAR
Barry Bonds 2986 12606 0.435 173 30.4 1173.8 67.6 1348.3 127.0 164.4
Roger Clemens 360 213 0.207 15 0 -23.8 23.2 736.4 74.3 134.4
Mike Mussina 376 54 0.172 5 0 -7.1 5.9 400.4 39.2 82.3
Jeff Bagwell 2150 9431 0.405 149 6.5 594.6 -82.1 698.7 59.6 80.2
Curt Schilling 495 901 0.161 -16 -0.3 -132.8 94.6 277.5 25.0 78.8
Ken Griffey Jr. 2671 11304 0.384 131 -7.3 444.1 -39.6 529.0 45.2 77.7
Larry Walker 1988 8030 0.412 140 21.5 427.9 3.5 534.1 48.9 68.7
Tim Raines 2502 10359 0.361 125 100.4 408.2 -109.6 503.5 50.4 66.4
Mark McGwire 1874 7660 0.415 157 -2.5 555 -138.5 581.3 53.5 66.3
Edgar Martinez 2055 8678 0.405 147 -21 500.5 -133.5 514.9 45.2 65.5
Jim Edmonds 2011 7980 0.385 132 -8 317.7 73.3 352.0 31.5 64.5
Alan Trammell 2293 9376 0.343 111 2.3 124.1 184.4 124.9 13.0 63.7
Mike Piazza 1912 7745 0.39 140 -31.6 370.1 20.7 497.4 43.5 62.5
Gary Sheffield 2576 10947 0.391 141 9.7 575.7 -300.9 625.2 60.2 62.1
Sammy Sosa 2354 9896 0.37 124 -7.9 300.4 -8.1 383.0 24.9 60.1
Fred McGriff 2460 10174 0.383 134 -8.6 409.1 -186.3 527.6 47.5 56.9
Jeff Kent 2298 9537 0.367 123 -19.8 259.7 1.2 346.5 24.3 56.1
Nomar Garciaparra 1434 6116 0.376 124 4.8 199.9 18.8 239.2 17.1 41.4
Jason Kendall 2085 8702 0.334 99 0.7 -6.8 130.8 92.8 11.1 39.8
Mike Hampton 425 845 0.289 67 -1.2 -36.9 91.2 -5.3 0.4 35.9
Troy Glaus 1537 6355 0.365 120 -2.4 157.7 -20.4 159.1 12.1 34.4
Luis Castillo 1720 7471 0.327 97 33.4 7.1 37.9 18.3 1.4 28.4
Randy Winn 1717 6878 0.333 100 28.2 28.8 23.5 70.1 9.7 28.1
Lee Smith 549 71 0.09 -55 0 -13 6.1 156.4 22.9 26.1
Mike Lowell 1601 6500 0.346 108 -39.7 25.8 22.7 77.9 1.8 26.0
Trevor Hoffman 551 36 0.127 -28 0 -6.3 3.8 174.8 32.2 26.0
Billy Wagner 452 21 0.119 -30 0 -3.8 2.2 196.6 28.5 24.1
Garret Anderson 2228 9177 0.334 100 -7.2 -12.6 -59.6 101.6 5.5 24.0
Mark Grudzielanek 1802 7603 0.32 91 4.1 -80 69.4 -60.1 -8.2 23.2
Mike Sweeney 1454 5848 0.366 117 -2.7 121.2 -106.5 206.1 15.0 21.1
Brad Ausmus 1971 7102 0.299 76 -23.2 -244.9 183.7 -219.2 -22.5 17.2
David Eckstein 1311 5705 0.316 92 10.6 -49.7 28.6 -40.7 -2.7 16.8

Again, the RE24, WPA and WAR numbers are combined for the pitchers.

So, who would you vote for? I made a survey so you can vote. You’re on the honor system here — don’t pick more than 10 players, please. If you’re looking for my two cents, here’s how I’d vote:

  • No Doubters: Bonds, Clemens, Griffey, Mussina, Piazza, Raines
  • Don’t Want To See Fall Off Ballot: Sheffield, Walker
  • Last Chance: McGwire, Trammell

Because I would want to give McGwire and Trammell their best shot in their final year on the ballot, I’d leave off Bagwell and Schilling, and cross my fingers that Edmonds gets enough votes to stay. Either way, it’s a tough puzzle. Rock your vote below!


American League Team Payroll Situations

Major League Baseball teams are not in the habit of revealing their expected payroll numbers for the following season prior to free agency. Revealing such figures would provide agents negotiating deals with their clients important information regarding how much teams planned to spend. Additionally, telling fans how much a team plans to spend could be harmful from a public relations perspective: if a team misses out on a desired target, it is not always a great idea to spend money for the sake of meeting a budget if that spending would not improve the team and the money could be better spent elsewhere. None of those reasons obscure the fact that we still want to know how much money teams will spend.

Last year’s spending should provide a pretty good proxy for where teams will end up on Opening Day next season. By looking at guaranteed salaries and arbitration estimates, we can come with a decent idea of how much money each team has to spend going into the winter unless they make significant changes to the budget from previous seasons. In the American League, teams like the Tampa Bay Rays, Oakland Athletics, and more recently the Houston Astros have kept spending to a minimum while the New York Yankees, Boston Red Sox, and Detroit Tigers have had no issues with payrolls double or even triple the size of those at the bottom. Much of next year’s spending has little to do with potential free agents, and more to do with players who have already signed.

American League teams have already committed more than $1.2 billion in guaranteed contracts to 2016 payrolls, equal to roughly two-thirds the amount of 2015 AL Opening Day payrolls. As we might expect, there are considerable differences across the league, per Cot’s Contracts.

GUARANTEED SALARIES BY AMERICAN LEAGUE TEAM 

The Yankees have committed nearly $200 million in salaries before the offseason even starts. At close to $185 million, the guarantees in the Bronx are roughly equal to Oakland, Tampa Bay, Baltimore, Houston, and Cleveland combined. In Oakland, the team has signed Billy Butler, Coco Crisp, and Sean Doolittle to contracts already, giving them around $24 million in 2016 before arbitration and free agent signings.

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Byung-ho Park Can Hit the (Snot) Out of the Ball

A few days ago, it was reported Miguel Sano would play some outfield during winterball. That’s easy enough to evaluate in isolation — there’s nothing wrong with trying to increase flexibility, and Sano is a bit young to permanently stuff into the DH box. But that’s also easy to interpret as part of a larger process. Word’s out the Twins placed the high bid to negotiate with South Korean first baseman Byung-ho Park. The winning bid of $12.85 million is more than double the winning bid a year ago for Jung-ho Kang, and it’s more than the total value of the four-year contract Kang later signed. It’s pretty clear now that Kang opened some eyes, and though the Twins and Park will still need to reach an agreement, you assume something will get done. The Twins are among baseball’s Byung-ho Park believers.

The question following any transaction is always, is it good? Is it worth it? That can be hard enough to answer when we have a ton of information. It’s far more difficult here. Park, obviously, has no major-league experience, no American track record to examine. We don’t know what the terms of his contract are going to be. We don’t even know that much about the market, or about how the Twins evaluated all their options. I don’t know if this is going to be “worth it,” to the dollar. What I do know is it’ll be good to see what Park can accomplish at the highest level. He’s earned this opportunity, and he’s earned it by demonstrating that he can hit the living crap out of a baseball.

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Evaluating the 2016 Prospects: Introduction and Primer

We have been working hard to get our team prospect rankings out to you as soon as possible. Starting with the Arizona Diamondbacks, the lists will proceed in alphabetical order by city and team name. As we start rolling out the organizational reports, I wanted to give you some guidelines for understanding my ideas and grades, to avoid confusion over why the grades here differ from other publications, even in cases where we may be saying the same thing. Though this will not be an all-encompassing article of my scouting opinions, it should provide the framework for our conversations on each of the team’s prospects.

I want to go through each of the five tools for hitters and the grades for pitchers, and explain basically what I believe are the most important factors going into them. Since some of you may not read this whole blurb, and then ask questions about why a pitcher who throws 95 only got a 50 grade on his fastball, I will admit to one overarching theme: functionality. How functional is that 95 mile-per-hour fastball if it’s straight and the pitcher who threw it has no idea where it’s going? Similarly, what is the use of an 80 grade for power if the hitter is blind and doesn’t also possess echolocation or some other means to hit a baseball?

One other difference for the way I’ll be communicating scouting grades to you is the presence of three numbers on each tool instead of just two, at least for the professional players. Here’s an example. Consider Rick Vaughn’s fastball before he was given his magical spectacles: 35/50/70. The first number is the current grade; it’s fast, but he can’t locate it, and when it does find the zone, it gets tattooed for a home run by a stereotypically douchy slugger. The second number is the likely future grade; he’s still young and not in prison, and he’s played by Charlie Sheen (the star of the movie), so you know it will get better. Still, the current state of the pitch makes it unlikely to be crazy effective, so an average future fastball could be the most likely outcome. Or, if you prefer percentiles, call this the 50th percentile projection. The third number is the ceiling grade, or 90th percentile projection, to help demonstrate the volatility and raw potential of a tool. I feel this gives readers a better sense of the possible outcomes a player could achieve, and more information to understand my thoughts on the likelihood of reaching those levels.

Kiley gave us a great conversion table last year for understanding scouting grades in an objective (though admittedly estimated) context. I absolutely loved the idea, especially because my brain tends to think more in terms of what statistical production a player’s future ability will produce, and then convert it into the more universally used 20-80 scouting scale. Here is my slightly altered version of the same table for hitters, followed by a breakdown of the individual tools:

Scouting Grades in Context: Hitters
Grade Tool Is Called Batting Average HR ISO Baserunning Runs Fielding Runs
80 80 0.320 40 0.300 12 30
75 0.310 35-40 0.275 10 25
70 Plus Plus 0.300 30-35 0.25 8 20
65 0.290 27-30 0.225 6 15
60 Plus 0.280 23-27 0.200 4 10
55 Above Average 0.270 19-22 0.175 2 5
50 Average 0.260 15-18 0.150 0 0
45 Below Average 0.250 12-15 0.125 -2 -5
40 0.240 8-12 0.100 -4 -10
35 0.230 5-8 0.075 -6 -15
30 0.220 3-5 0.05 -8 -20

Remember these are estimates of true talent that we are trying to project multiple years down the road. Please don’t hate on me in two years when a player with a 55-grade power hits 25 home runs. First, why be so mean? And second, scouting grades are an attempt to peg true talent. Even if a tool remains static for years, the statistical evidence of the quality of that tool can vary due to league adjustments to the player, hidden injuries, randomness, etc. Think of it like BABIP and UZR, of which you need a few years of data to know anything about where a player really stands.

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Building the 2015-16 All Free Agent Team

It’s free-agent time again. Our yearly intrigue is upon us! It’s the time of year when, after hearing for a full baseball season about how teams shouldn’t be built through free agency, teams are built through free agency. So let’s play a game. Let’s forget all about trading, drafting, and developing players. Instead, let’s build a team entirely out of free agents.

Before we construct this hypothetical all free agent team, we must lay some ground rules. First, this is an expansion team, so there are no current payroll obligations on the books nor are there any minor leaguers coming up through the ranks yet. Our owner is Mr. Fatpockets and he’s authorized a payroll of $200 million, and because we like our job pretending to sign free agents more than cleaning out Mr. Fatpockets’ cats’ litter box, we’re going to stay at that figure.

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Dan Szymborski FanGraphs Chat – 11/9/15

11:57
Dan Szymborski: Monday: A Time for Chats.

11:59
Comment From Ben
Is Billy Burns a reasonable comp for Boog Powell?

11:59
Dan Szymborski: Naw, I think Burns is faster and has better baseball skills.

11:59
Comment From RotoLando
All right, let’s just get this out right now. Bung-Ho Park. Go on, get the giggling out of your system, and let’s have a mature discussion of topical themes.

11:59
Dan Szymborski: Wait, is this a Twins joke? I never promised not to make Twins jokes.

11:59
Comment From ronnie
One keeper spot left for next year. Who do you keep, Rendon or Springer?

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