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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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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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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Ian Desmond is 0-for-14 with 10 strikeouts and zero walks against Craig Kimbrel.

I know, I know. Small samples, noise, predictive value and whathaveyou — I get it. Usually, it’s best not to read too much into batter-pitcher matchup stats. Sometimes, though, it’s clear that a certain batter just doesn’t stand a chance against a certain pitcher. Sometimes, it’s clear that a Craig Kimbrel can turn an Ian Desmond into a helpless puddle of mush in the batter’s box simply by standing on the mound.

What if I told you that, in rare cases, fielders could possess the same ability? What if I told you that, in early 2014, Andrelton Simmons learned he had such a power? That simply by taking the field, he could render Travis d’Arnaud completely and utterly powerless? Not only that, but that Simmons could actually control the game with his mind, so long as d’Arnaud was on the field with him?

* * *

The date was April 9, 2014. Spirits were high in the Mets’ clubhouse. The season was young. They’d shut out the host Braves in their home opener the night before. Young catcher Travis d’Arnaud had collected his first two hits of the season and scored a run. He hoped to build upon that success against Braves hurler Ervin Santana the next day. He strode to the plate, confident and unknowing.

This was young d’Arnaud’s first encounter with Simmons. The result was unexpected, yet also unsurprising. d’Arnaud had heard tell of Simmons’ skills. Now, he’d experienced them firsthand.

“What can you do?” d’Arnaud thought to himself. “Gotta tip your cap.”

In fact, as he lunged toward first base, d’Arnaud did tip his cap. It fell right off the back of his head and down to the Earth behind him. As the helmet hurtled toward the dirt, it eclipsed the print on the back of d’Arnaud’s jersey, momentarily displaying the word “dUD.”

This could be interpreted as foreshadowing.

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No, we aren’t just going to do a leaderboard sort for best movement in each direction and call it a day. It’s a little bit more complicated to figure out the best changeups by shape and speed, mostly because it’s all relative. The changeup, as the name implies, functions off of the fastball, as a change of pace and movement. So we need to define anything the changeup does relative to the pitcher’s fastball.

Then we can do a sort and call it a day.

In order to define fastball movement, let’s just group together all of the fastballs thrown by a pitcher. It’s probably more nuanced than that; the concept of tunneling or sequencing shows that pitchers can pair their changeup with one fastball or the other for different results. But some of this comes out in the wash: by averaging movement across fastballs, their selection of different fastballs will weight the movement in the direction of the pitcher’s usage.

So then our x and y movement, and velocity, are defined against this average fastball for each pitcher. Using a minimum of 50 changeups thrown, and z-scores to sum up the values, we can get a list of best changeups quickly.

First, the relievers.

Best Reliever Changeups by Movement, Velocity

Pitcher	FB (pfx_x)	FB (pfx_z)	FB (velo)	CH (pfx_x)	CH (pfx_y)	CH (velo)	Sum Z	CH swSTR%
Brad Boxberger	-3.3	10.6	92.6	-7.8	2.0	79.8	6.7	14%
Shawn Tolleson	-2.6	11.0	92.9	-4.8	4.0	79.8	4.9	15%
Josh Fields	0.1	11.5	94.1	-0.6	3.7	81.4	4.5	8%
Roberto Osuna	-4.2	10.7	95.5	-8.0	6.9	82.3	4.0	16%
Josh Smith	-4.1	7.6	89.9	-8.4	1.9	79.4	4.0	8%
Chasen Shreve	7.3	10.6	91.4	6.3	1.5	82.6	3.5	18%
A.J. Ramos	-3.0	8.6	92.4	-7.5	1.0	85.5	3.5	35%
Jeff Ferrell	-4.1	10.2	93.0	-7.4	4.9	82.4	3.5	20%
Danny Farquhar	-5.0	8.5	92.7	-7.5	1.0	84.5	3.2	24%
Fernando Rodney	-6.7	7.1	94.7	-9.6	3.3	82.7	3.1	17%
Andrew Schugel	-7.9	7.8	91.6	-9.6	2.3	80.5	3.1	23%
Joaquin Benoit	-6.5	8.9	94.2	-7.5	1.9	84.1	3.1	24%
Tyler Thornburg	-0.8	11.1	92.2	-5.8	6.3	83.8	3.0	19%
Arnold Leon	-5.1	9.8	91.6	-4.6	2.8	80.2	2.9	22%
Pat Neshek	-8.5	4.9	89.9	-4.6	3.7	68.4	2.9	9%
Tommy Kahnle	-1.9	7.4	94.8	-7.6	2.8	87.2	2.8	23%
Mike Morin	-4.7	8.9	92.3	-0.5	6.8	71.7	2.8	25%
Deolis Guerra	-5.1	10.0	90.8	-6.7	4.0	80.7	2.8	15%
Daniel Hudson	-6.6	8.3	96.0	-9.9	4.9	84.8	2.7	18%
Erik Goeddel	-3.9	9.2	93.0	-4.7	2.0	84.3	2.5	32%

SOURCE: PITCHf/x

pfx_x = horizontal movement
pfx_z = vertical movement
Sum Z = sum of the z-scores for the differentials between fastball and changeups in x, y movement and velocity
swSTR% = swinging strikes over pitches for the changeup
Minumum 50 changeups thrown in 2015

If you listen to The Sleeper and The Bust, you know I talk about this all the time and do the math in my head. Now the math is there for us on the sheet of paper.

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If you’re a team looking to add a significant piece to your roster, this is a pretty great winter to be a buyer. Unlike most recent free agent crops, this group of available players boasts both legitimately elite players and a host of quality mid-tier options. Especially for teams looking for starting pitching or outfield help, the supply of talent is unlike anything we’ve seen in a while, since the boom of early-career extensions has served to keep a lot of the game’s best players from reaching the open market.

Of course, supply and price are often inversely correlated, so when there’s a lot of talent available, it’s easy to conclude that teams will price-shop across multiple options, and we might see less inflation this year than we have in previous years. However, in this case, I don’t know that the increased supply of talent is actually going to lead a stagnation in salary inflation; in fact, I think there are some reasons to believe that we may see some significant spending, above and beyond what is already expected, by MLB teams this winter.

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Ben and Sam talk about the best Barry Bonds facts with Jake Mintz and Jordan Shusterman of Cespedes Family Barbecue.

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You’ve probably read about the role scouting played in Jarrod Dyson’s 12th inning stolen base in Game 5 of the World Series. The Royals knew that New York’s Addison Reed would slow his delivery in certain situations, and “a little shimmy with his hip” was going to be Dyson’s key to run. First base coach Rusty Kuntz shared that bit of info after the game, and I touched on it my recap.

Mark Topping, the team’s video coordinator, had a hand in the theft. As Kuntz explained, “Topper gives me 20 moves to the plate, and 20 pick-offs, for every pitcher.”

The video, Topping told me, allows Kuntz to “See if there’s any kind of tell; a guy moves his front front, or his toe, or whatever.”

The information is supplied via iPad, and it includes pitchers’ times to the plate. More than eyeball scouting is at play. Software is used to calculate the measurements, so they’re “extremely precise.” Read the rest of this entry »

Episode 607
Brian Burke is the founder of Advanced NFL Stats and a current member of ESPN’s Stats and Information department. He discusses the current state of analytics in football and what they reveal about certain teams in the context of the present season.

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 49 min play time.)

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