Archive for Teams

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Earlier this week, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the Houston Astros. In this companion piece, I look at that same Houston farm system through the lens of my recently refined KATOH projection system. The Astros have the second-best farm system according to KATOH, trailing only the Brewers. Their system lacks star power, but is easily the deepest. That’s why this post has way more words than you probably care to read.

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. AJ Reed, 1B (Profile)

KATOH Projection: 7.1 WAR
Dan’s Grade: 60 FV

Reed might have had the biggest breakout of any minor leaguer in 2015. Minor league pitching was no match for his mammoth power and copious walks, as the 22-year-old hit .340/.432/.612 between High-A and Double-A last year. If you’re looking for something to be concerned about, it’s Reed’s 20% strikeout rate. While that’s not alarmingly high, it’s a tick above average, and hints that he might have a tough time making contact against big league pitching. But otherwise, all systems are a go. It isn’t often that KATOH gets excited about a first base prospect, but it’s all in on Reed and his gaudy power numbers.

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Spring training is getting underway, which means while we aren’t yet into the regular season, we are into projection season. Depending on what you’ve been looking at, there’s been a lot of talk about the White Sox, and there’s been a lot of talk about the Royals. Those teams have received some somewhat controversial projections, but not everything is so up for debate. For example: it’s universally agreed the Cubs look really good, and it’s universally agreed the Phillies look really bad. These statements are practically givens.

The White Sox became a topic of conversation because of USA Today. The Royals are back in the spotlight because of Baseball Prospectus and PECOTA. This is FanGraphs, so let’s take a look at what’s being published on FanGraphs. Here’s our projected standings page, based on Steamer projections and the depth charts, and you see the Cubs projected for an MLB-best 94 wins, and the Phillies projected for an MLB-worst 66 wins. These projections won’t cause any arguments — the numbers agree with consensus opinion.

Projections, though, are midpoints, at least when you see them published. Ranges exist around them. Sometimes pretty big ranges. And both the Phillies and Cubs will employ major-league baseball players, who are elite talents when it comes to their craft. The Cubs will win a bunch of games, and the Phillies will win a bunch of games. What are the chances the Phillies win more games than the Cubs?

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Full-season team projections cause some heated arguments. If a team finishes the year with fewer wins than expected, fans want to know why their club underperformed projections. If a team overperforms its projections, meanwhile, those same fans will insist that forecasts in subsequent years lack the ability to detect their club’s particular strengths and are thus useless.

Here at FanGraphs, we have only been doing full-season projections for a couple years, but just about every week I see a mention of the 2015 World Champion Kansas City Royals’ projected record of 79-83. If I search Google for “79-83 Royals FanGraphs,” I get over 11,000 article links. Unsurprisingly, it’s a popular topic. Rarely does a club, following a pair of World Series appearances, then proceed to fail to break even. But that’s what the numbers suggest for 2016.

While FanGraphs has produced team win projections for only a couple seasons, Replacement Level Yankee Weblog (RLYW) has been publishing win projections for years. Since 2007, to be precise. Given this larger sample, I thought that it might be worthwhile to compare the projected win values produced by RLYW to the actual final win values produced by teams. So, with the permission of RLYW editor SG, that’s what I’ve done here.

I hate to disappoint anyone, but there are actually aren’t any great findings in the plethora of graphs to follow. I did find a couple interesting artifacts of the data, but no game changers. Instead, I see the following mainly as an additional data point in many past, present, and future discussions.

To start with, here is how projected and actual values have correlated.

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Two years back, after Zach Britton emerged as an effective closer for the Orioles, he drew a lot of attention for his sinker. At the time, I used PITCHf/x information to try to find some similar sinkers. For the most part it was a forgettable post — most of these are forgettable posts — but there was one thing that stuck with me. One name I haven’t been able to wipe from my mind.

It’s even more interesting now, with Britton having graduated into the class of the elites. You might not yet recognize Britton as an elite reliever, but he for sure most recently was an elite reliever, again driven almost exclusively by his fastball, which he threw 90% of the time. Compared to the year before, Britton generated way more strikeouts. Compared to the year before, Britton trimmed his number of walks. And compared to the year before, Britton somehow increased his grounder rate, which was already absurd.

You look at what Britton did, and you see that he did it mostly with one pitch, and you realize, hey, that’s one hell of a pitch. Wouldn’t you be interested in knowing there’s someone out there who throws an almost identical pitch? It’s time to get to know Blake Treinen. Blake Treinen pitches for the Nationals, and Blake Treinen throws the Zach Britton sinker.

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The Astros vaulted themselves into the playoff hunt on the backs of their young talent and smart free agent buys. Now that many of those players will be staying with the major league club, you might expect the system to be relatively barren. In fact, however, it is littered with mid- to upper-range prospects that could help as soon as this year. Though Houston has decent quality and quantity of prospects, the most interesting thing about this system is how much turnover it has seen since last offseason. Only five of the top-15 prospects from Kiley’s list last year remain eligible for this year’s list, the rest gone via trade or promotion.

One of the joys of scouting Astros prospects is the run environments of their High-A and Triple-A affiliates. Many of the top prospects in the system – AJ Reed, Derek Fisher, JD Davis, Francis Martes, etc. – spent all or or part of their 2015 seasons in High-A Lancaster, quite possibly the most hitter-friendly park in the country. That fact makes it a fun task to figure out whose skills have improved versus whose have been artificially elevated by an extreme run environment. For many of them, evaluators almost have to ignore their High-A production and wait to see them in Double-A. I have to admit, Fisher fits into that category for me somewhat. It also makes Martes’ stat line look even more impressive.

For these rankings, there aren’t too many eye-opening choices for the upper spots on the list. I have AJ Reed in the number-one spot, believing his offensive ability to be strong enough to make him a more productive big-league player despite his defensive position. Besides Tyler White and Jon Kemmer jumping up this list for their potential at the plate, there’s Kyle Tucker and Derek Fisher sliding down just outside of the 50+ FV group. I don’t feel completely confident in my evaluation of Fisher yet, and Tucker is too young and raw for me to be comfortable ranking him ahead of the others above him.

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This time of year, everyone’s a contender. So everyone’s talking about the things they can do in 2016, and the A’s are no different, highlighting their improved bullpen and increased power. Just last week they picked up Khris Davis, and when I was reading about that move, team officials noted that Davis will provide critical right-handed pop, along with Danny Valencia. Just from reading that sentence, you know two things: (1) the A’s won’t be anyone’s AL West favorites, and (2) Valencia has won himself some organizational fans.

It’s not as if Valencia has been hurting for chances, as teams have long recognized his ability to punish left-handed pitchers who dare enter the strike zone. Valencia has been treated as one of those useful players good enough to have but not good enough to keep. He debuted in 2010, and Oakland is his sixth major-league team, having been claimed off waivers from the Blue Jays in August. The Blue Jays had themselves a roster crunch, and they weren’t buying the initial evidence that Valencia had made himself more whole. You can understand why Toronto wound up doing what they did, but Oakland seized the opportunity and now they seem to have themselves an asset. The A’s could afford to see how real Valencia really was. All he did was conquer his biggest problem.

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Yesterday, I utilized my KATOH projection system to rank the 30 farm systems. By my math, the Milwaukee Brewers are the top dog. And it isn’t particularly close. Here’s a graphical representation of each team’s cumulative projected WAR according to KATOH.

The Brewers farm system outpaces everyone else’s by a fairly wide margin by this metric. That’s interesting in and of itself. But the path David Stearns and company have taken to put their farm system in this position is perhaps even more interesting.

For one, they’ve acquired a large chunk of their minor league talent in the very recent past. Orlando Arcia, their consensus top prospect, has been around for a few years; but many of the others are very new additions. In fact, KATOH’s #2 through #8 prospects all joined the organization within the past seven months. That’s Ramon Flores, Jacob Nottingham, Brett Phillips, Josh Hader, Isan Diaz, Zach Davies and Javier Betancourt. Domingo Santana would fall in that group as well were he still prospect eligible. They’ve also added Rymer Liriano, Keon Broxton, Garin Cecchini, Jonathan Villar, Adrian Houser, Bubby Derby (who I’m still not convinced is a real person) over that same period. Not to mention lower-tier prospects Freddy Peralta, Trey Supak, Colin Walsh, Zack Jones, Carlos Herrera, Daniel Missaki and Manny Pina.

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Khris Davis has four career outfield assists. Have you ever been curious about how he got them? Of course you haven’t. You’re a grown person, with responsibilities. A person trying to answer the big questions, a person who reads books, a person wondering what a gravitational wave is. This has never really crossed your mind, but, now you’re here. Now you’re curious. This is obviously a setup and human nature will force you to see this all the way through. You’re not as in control of you as you think.

Davis is relevant right now because he was just traded. He debuted in 2013 and, since then, on a rate basis, he ranks fifth-worst among outfielders in the DRS version of the arm-value statistic. He ranks seventh-worst in the UZR version of the arm-value statistic. According to the Fan Scouting Report, he ranks fifth-worst in release. He ranks fourth-worst by arm strength, and he ranks eighth-worst by arm accuracy, and if you put all three components together, he ranks second-worst by arm overall. Khris Davis has a bad arm. It’s been that way for as long as you’ve known about him. We don’t get to say this kind of thing very often, but there might genuinely be some of you capable of out-throwing Khris Davis, who is a major-league baseball player.

And he’s a player with four assists. Bad arm, four assists. Which means he’s been involved in throwing people out. Time to walk through the assists, like we did with Ben Revere back whenever that was. For some reason, in this moment, it’s important to know what’s happened.

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With pitchers and catchers reporting soon, we just about have all the major free-agent signings wrapped up. It looks like Yovani Gallardo is about to sign with the Orioles, and there are rumors that Dexter Fowler could soon join him now that Baltimore has apparently decided to give up their first-round draft pick. With so many good outfielders available this winter, as the music stops, the available chairs for Fowler seem less desirable than we might have thought at the end of last season. Fowler’s defensive numbers have been pretty bad over the last few seasons, but his UZR figure was close to average in his only year with the Chicago Cubs. Determining change in skill from small sample size can be difficult, but it does not seem likely Fowler greatly improved his defense last season.

Defensive statistics are much-maligned outside of the analytic community, and even among those who use advanced statistics, there’s a degree of doubt regarding their utility. Much of the criticism stems from a misunderstanding about how to use defensive statistics given the larger sample size necessary to draw meaningful conclusions. Looking at three seasons worth of UZR can seem like going too far into the past, leading to rationalizations about short-term spikes in defensive numbers.

Over the last four seasons, Fowler has put up a UZR numbers in center field of -13.6, -1.7, -21.8, and last year’s -1.9 mark. Taken on the whole, it would be reasonable to conclude that Fowler is a below-average center fielder. It might be easy to look at the last three years, point to two that are pretty close to average, and call the -21.8 an outlier. This isn’t advisable, however, as doing so completely ignores a full year of data and merely cherrypicks the good seasons. The graph below shows two lines: yearly UZR for Fowler over the past five seasons, and a three-year average of UZR over the past five seasons, which is more representative of Fowler’s defense.

Using three years of data smooths Fowler’s numbers considerably. The inconsistency of the yearly numbers largely evaporates and places Fowler’s defense somewhere between six and 12 runs below average at center field over the past few years. That inconsistency carried over to his WAR numbers as well, as the graph below shows.

Instead of a 1.4 WAR season followed a 3.2 WAR season, we see a pair of 2.5 WAR seasons the last two years. Not surprising for the soon-to-be 30-year-old, ZiPS sees Fowler as a 2.4 WAR player heading into next season.

But what about the possibility that Fowler’s defensive improvements are real? It does happen. Jhonny Peralta made himself a much better shortstop later into his career — and improved positioning could have helped Fowler last season, as could getting out of the ballparks in Colorado and Houston. That narrative was getting pushed early last season and it does have some validity.

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You smell that? It’s baseball’s prospect-list season. The fresh top-100 lists — populated by new names as well as old ones — seem to be popping up each day. With the individual rankings coming out, some organization rankings are becoming available, as well. I have always regarded the organizational rankings as subjective — and, as a result, not 100% useful. Utilizing the methodology I introduced in my article on prospect evaluation from this year’s Hardball Times Annual, however, it’s possible to calculate a total value for every team’s farm system and remove the biases of subjectivity. In what follows, I’ve used that same process to rank all 30 of baseball’s farm systems by the surplus WAR they should generate.

I provide a detailed explanation of my methodology in the Annual article. To summarize it briefly, however, what I’ve done is to identify WAR equivalencies for the scouting grades produced by Baseball America in their annual Prospect Handbook. The grade-to-WAR conversion appears as follows.

Prospect Grade to WAR Conversion

Prospect Grade	Total WAR	Surplus WAR
80	25.0	18.5
75	18.0	13.0
70	11.0	9.0
65	8.5	6.0
60	4.7	3.0
55	2.5	1.5
50	1.1	0.5
45	0.4	0.0

To create the overall totals for this post, I used each team’s top-30 rankings per the most recent edition of Baseball America’ Prospect Handbook. Also accounting for those trades which have occurred since the BA rankings were locked down, I counted the number of 50 or higher-graded prospects (i.e. the sort which provide surplus value) in each system. The results follows.
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