Archive for Essential Articles

2019 Top 50 Free Agents

Welcome to FanGraphs’ top-50 free-agent rankings. Dave Cameron has previously been responsible for this annual post. This year, though, I’m leading the charge, with some assistance from my colleagues.

In what follows, I’ve provided contract estimates and rankings of the winter’s top free agents, along with market-focused breakdowns for the top-25 players and one case beyond that. (As for why I’ve provided commentary on only the top 25, you can decide for yourself whether it’s because my take on No. 46 Cody Allen was too hot for the internet or if all the players just kinda seemed the same to me by that point.) Meanwhile, a combination of Craig Edwards, Jay Jaffe, Eric Longenhagen, Meg Rowley, Dan Szymborski, and (in one case) Carson Cistulli have supplied the more player-focused breakdowns designed to provide some context for each player at this current moment in his career.

Note that players are ranked in the order in which I prefer them, in terms of the overall guaranteed money I’d spend on them. Usually, this is very similar to the order of overall contract values as both the crowd and I have projected. In some instances, that’s not the case, however — notably with the first and second players on the list. I explain my rationale where relevant.

Given how slow and frustrating last offseason was for the players, the biggest storyline to follow this winter will be how the market reacts. With the Dodgers and Yankees getting under the luxury tax specifically for this winter, multiple mid-market clubs rumored to be ready to spend, and rare stars in their prime on the market, there are fewer causes for restraint. I wouldn’t expect Harper or Machado to sign quickly, as both their agents and the players union will be focused on precedent-setting across the board and they’ll need to get the lay of the land first. If you’re interested in more notes and rumors, I’ve got a corresponding post up, but I didn’t want to make you scroll any further.

Now let’s get to the list.
– Kiley McDaniel

1. Manny Machado, SS, Age 26
Contract Estimate
Type Years AAV Total
Kiley McDaniel 9 $31.0 M $279.0 M
Median Crowdsource 8 $32.0 M $256.0 M
Avg Crowdsource 8.6 $31.7 M $273.0 M
2019 Steamer Forecast
PA BB% K% AVG OBP SLG wOBA wRC+ Off Def WAR
630 9.4% 15.6% .287 .356 .527 .370 134 25.3 2.6 5.0

Kiley’s Take
Has produced roughly as many career wins as Harper and is projected to produce roughly the same number in the near future, but will likely be available for less. That and ability to play shortstop place him first.

Player Notes
Machado’s baserunning antics and related comments cast him as a villain during the Dodgers’ postseason run, but they probably won’t dent his market much. Despite splitting his season between Baltimore and Los Angeles, he set or tied career bests in all three slash stats, wRC+, walk and strikeout rates (9.9% and 14.7%), and homers. Given his age, he could maintain this level for a few years. Meanwhile, playing shortstop full-time for the first time since 2012, his pre-trade metrics were brutal (-7.2 UZR, -18 DRS in 96 games), but improved markedly post-trade (0.8 UZR, 6 DRS in 51 games) thanks to a combination of better positioning by the analytically inclined Dodgers and an emphasis on better anticipating batted balls as opposed just to reacting to them. Expect him to prioritize remaining at short and to receive a massive payday. – JJ

Read the rest of this entry »


2018 Trade Value: #1 to #10

Jose Ramirez has considerable value even without his bat.
(Photo: Keith Allison)

As is the annual tradition at FanGraphs, we’re using the week of the All-Star Game — while (some of) the industry pauses for a metaphorical breather — to take stock of the top-50 trade assets in the sport. For more context on exactly what we’re trying to do here, see the honorable-mentions post linked at the top of the page.

For this post and the others in this series, I’ve presented a graphic (by way of the wizard Sean Dolinar) breaking down each player’s objective skill level (represented, in this case, by a five-year WAR projection from ZiPS), contract/team-control details, rank in last year’s series, and then year-by-year details of age/WAR/contract through 2023, although a couple players have control beyond those five years. For those readers who are partial to spreadsheets rather than blocks of text, I’ve also included all the players we’ve ranked so far are in grid format at the bottom of the post.

The ZiPS WAR forecasts did influence the rankings a bit: for players who were bunched together, it acted as an impartial tiebreaker of sorts, but the industry opinions I solicited drove the rankings.

With that said, let’s get to the top 10 spots on the Trade Value list this year.

Five-Year WAR +26.3
Guaranteed Dollars
Team Control Through 2022
Previous Rank #35
Year Age Projected WAR Contract Status
2019 25 +5.3 Arb1
2020 26 +5.5 Arb2
2021 27 +5.5 Arb3
2022 28 +5.0 Arb4
Arb

Severino bests Kluber for the top spot amongst pitchers on this year’s list. He is eight years younger than Kluber with an additional year of control and has been at least as good as the Cleveland right-hander this season, depending on how you measure it. Predictably, though, execs are concerned — as they are with basically any pitcher — that Severino’s next pitch could lead to a year-long DL stint and uncertainty after that. As a 24-year-old who averages 97.7 mph on his fastball, Severino is still a bit of a risky bet compared to comparable hitters. There’s a tier here from Nos. 7 to 13 that you could shuffle in a few different orders depending on your personal preferences or evals of these players.

Read the rest of this entry »


2018 Top 100 Prospects

Below is our list of the top-100 prospects in baseball. Scouting summaries were compiled with information provided by available data, industry sources, as well as from our own observations.

Note that prospects are ranked by number but also lie within tiers demarcated by their Future Value grades. The FV grade is more important than the ordinal rankings. For example, the gap between prospect No. 5 on this list, Fernando Tatis Jr., and prospect No. 35, Corbin Burnes, is 30 spots, and there’s a substantial difference in talent there. The gap between Ke’Bryan Hayes (No. 56) and Leody Taveras (No. 86), meanwhile, is also 30 numerical places, but the difference in talent is relatively small. Below the list is a brief rundown of names of 50 FV prospects who didn’t make the 100. This same comparative principle applies to them.

As a quick explanation, variance means the range of possible outcomes in the big leagues, in terms of peak season. If we feel like a prospect could reasonably have a best big league season of anywhere from one to five wins/WAR, then that would be “high” whereas someone like Colin Moran where it’s something like two to three wins/WAR is “low.” High variance can be read as good since it allows for lots of ceiling, or bad since it allows for a lower floor. Your risk tolerance could lead you to sort by variance within a given FV tier if you feel strongly about variance. Here is a primer about the connection between FV and WAR.

Read the rest of this entry »


Trade Deadline 2017 Omnibus Post

Lots of trades happen in the run up to the non-waiver trade deadline. It can be hard to keep track of everything that’s gone down, so we’re here to help. Below you’ll find a rundown of all the #content that we’ve published in accordance with trades that have actually happened. They’re in chronological order as best as I can tell, and cover trades that were made earlier in the month too, because those are still important. We’ll start with the two prospect rankings from Chris and Eric, which were just published earlier today.

Prospect Rankings

Now on to the individual trades. Note that the date listed is the date the trade was consummated, not necessarily the date each article listed was published.

(From L to R) Jonathan Lucroy, J.D. Martinez, Todd Frazier, Justin Wilson and Yu Darvish were among the marquee names traded in July. (Photos: Keith Allison, Tom Hagerty & Michelle Jay)

Read the rest of this entry »


Projecting All of the Prospects Traded at the Deadline

In the table below, you’ll find a treasure trove of information pertaining to the prospects who changed hands this trade deadline. There were 67 of them in all. Since there was a flurry of early trade activity this year, I’m using a liberal definition of “trade deadline” that considers all trades since the July 13th Jose Quintana deal. For reference, I performed a similar exercise last year. Read the rest of this entry »


Ranking the Prospects Traded During Deadline Season

Among the prospects traded in July, Eloy Jimenez stands out. (Photo: Arturo Pardavila III)

Below is a ranking of the prospects traded this month, tiered by our Future Value scale. A reminder that there’s lots of room for argument as to how these players line up, especially within the same FV tier. If you need further explanation about FV, bang it here and here. Full writeups of the prospects are linked next to their names. If the player didn’t receive an entire post, I’ve got a brief scouting report included below. Enjoy.
Read the rest of this entry »


KATOH’s Midseason 2017 Top-100

Vlad Guerrero Jr. appears among the top-three prospects by both versions of KATOH. (Photo: Joel Dinda)

With the trade deadline swiftly approaching, it’s time for some updated KATOH rankings. I know you’re not here to read about assumptions and caveats, so I’ll keep the non-list part of this article short and sweet.

  • For each player, KATOH produces a WAR forecast for his first six years in the major leagues. There are drawbacks to scouting the stat line, but due to their objective nature, the projections here can be useful in identifying prospects who might be overlooked or overrated.
  • KATOH+ incorporates Baseball America’s midseason top-100 list and Eric Longenhagen’s preseason FV grades for players excluded from BA’s list. Stats-only KATOH does not consider prospect rankings.
  • These projections account only for minor-league stats. While I’ve done work with college players, I have not yet attempted to merge college and minor-league data. These projections also do not account for any major-league performance.
  • All players with at least 200 minor-league plate appearances or batters faced in 2016 and/or 2017 were considered.
  • This isn’t “Chris Mitchell’s Top 100 List,” and certainly not “FanGraphs’ Top 100 List.” This is simply the output from my far-from-perfect statistical model.

Read the rest of this entry »


2017 Trade Value: #1 to #10

The comparisons to Alex Rodriguez are neither fair nor entirely misplaced.
(Photo: Arturo Pardavila III)

Welcome to the final installment of this year’s Trade Value series; you can find links to the previous five posts above. If you’re not familiar with this project, there’s an explanation of the process in the HM post, so that’s the best place to start.

As a reminder for those who don’t like clicking links, however, the five-year WAR projections are based on Dan Szymborski’s ZiPS forecasts, though the players aren’t ranked based on those projections; these figures are included merely as a piece of information to help round out the picture. The guaranteed-dollars line measures the amount of money the player is owed outside of team options or arbitration years; for most of these guys, team options are very likely to be exercised, and many of them will end up making more than the guaranteed-dollars number reports.

Now let’s turn our attention to today’s top 10. In reality, this ended up being two groups of five, with plenty of room for movement within those two groups. And at the very top of the list was the toughest call I’ve ever had to make in putting this project together. The amount of great young talent in the game right now is simply remarkable.

Just as a note: I’ll be chatting about this list at 12 p.m. ET, so if you have any questions, feel free to swing by and I’ll answer as many as I can. Now, on to the top 10.

Team Control WAR Total +19.4
Guaranteed Dollars $23.5 M
Team Control Through 2021
Previous Rank #18
Year Age Projected WAR Contract Status
2018 32 +5.4 $10.5 M
2019 33 +5.0 $13.0 M
2020 34 +4.5 $13.5 M
2021 35 +4.5 $14.0 M
Team Option

Corey Kluber was already amazing. He might actually be getting better, though. His strikeout rate has jumped from 26% to 34%. His ground-ball rate is at a career high, but so is his infield-fly rate. He still throttles contact quality. With the way he’s pitching now, he’s in that next tier of non-Kershaw starters. He’s everything you want in an ace.

Read the rest of this entry »


July 2 Sortable Board and Rules Primer

The 2017 July 2 signing period is set to begin on Sunday. Here is the 2017 J2 Sortable Board with tool grades and scouting reports for the players whom I believe to be the best in the class. The changes made to the J2 process when the last Collective Bargaining Agreement was ratified in November are significant and have impacted the way teams approach signing players; altered how a given class’s talent is distributed throughout baseball; changed players’ earning power; and, at least for now, forced prospects to consider how to best time their decision to sign.

Before diving into the details pertaining to this year’s class, allow me to suggest some prerequisite reading should this be your first time navigating FanGraphs’ scouty pages. If the 20-80 scale and scouting terminology is new to you, this piece will be helpful. If you’d like more context on the previous July 2 rules as we discuss the way the new CBA has changed them in this article, I suggest this.

Read the rest of this entry »


KATOH’s Top 250 Draft-Eligible College Players

The draft is right around the corner, and KATOH’s here with some content. Today, I give you projections for the top-250 draft-eligible college players. This list considers all Division 1 players who logged at least 100 plate appearances or batters faced this season. These projections don’t just incorporate this year’s data, but also consider performances from 2016, 2015, and last summer’s Cape Cod League. I consider this to be a vast improvement over the work on amateur prospects I’ve done in the past.

I derived these projections using a methodology similar to the one I use for minor leaguers. I ran a series of probit regression analyses on historical data to determine the likelihood that a player will reach a variety of WAR thresholds (Playing in MLB, >0.5 WAR, >1 WAR, >2 WAR, etc.) through age 28. The resulting probabilities were used to generate a point estimate for each player’s WAR through age 28. The projections take into account performance, conference, age and height. They also account for defensive position for hitters and batters faced per game for pitchers. All of these factors are weighted accordingly based on the major-league careers of historical college players.

There are thousands of Division 1 baseball players, and the data is often unruly and prone to inaccuracies. Furthermore, determining who’s draft-eligible is often tricky, as birthdays and high-school graduation years are sometimes hard to track down. A bunch of front offices didn’t realize T.J. Friedl was eligible for the draft last year, so this isn’t just a me problem. All of this is to say that I can’t be 100% sure nobody was left off erroneously, so feel free to ask if your favorite college prospect isn’t listed.

I will provide further analysis on many of these players once we know where they end up, so check back next week. One quick observation: there’s been much debate over whether Louisville’s Brendan McKay should be selected as a pitcher or a hitter. KATOH sides strongly with Team Pitcher, as it ranks him No. 1 among college players as a pitcher and No. 191 as a first baseman. However, since he’s primarily focused on pitching to date, I suppose one could argue he has more development left than your typical 21-year-old hitter with his numbers.

Read the rest of this entry »


FanGraphs’ 2017 Mock Draft

What follows is my best guess for the first round of the 2017 amateur draft. I’ll update it the day of the draft itself (June 12), perhaps several times. Players have been assigned to teams based on multiple factors: rumors I’ve heard from various industry sources, the presence of front-office members at certain games (especially lately), each club’s own particular modus operandi, etc. Be sure to check out our draft rankings here.

1. Minnesota – Kyle Wright, RHP, Vanderbilt
It sounds like Louisville LHP/1B Brendan McKay is also under heavy consideration here and that Minnesota would evaluate him both ways in pro ball for a while. Hunter Greene and MacKenzie Gore are dark horses but less likely than the Wright or McKay.

2. Cincinnati – Hunter Greene, RHP, Notre Dame HS (CA)
The Reds had about a half-dozen scouts at the ACC tournament in Louisville and watched Brendan McKay’s middling start, though I think they prefer him as a bat. He’s a possibility, but Greene is more likely and, in my opinion, the better prospect.

3. San Diego – MacKenzie Gore, LHP, Whiteville HS (NC)
I think the Padres would take Greene if he were available here and would be fine with JSerra shortstop Royce Lewis, too, but Padres decision makers have seen some of Gore’s best starts all year.

4. Tampa Bay – Brendan McKay, 1B/LHP, Lousiville
I think this is where McKay stops and that the Rays take him as a bat. If McKay goes at No. 1, I think Wright goes here, though the Rays had multiple high-level executives at MacKenzie Gore’s last start, too.

5. Atlanta – Royce Lewis, SS, JSerra HS (CA)
There have been a lot of crazy rumors about the Braves and they can’t all possibly be true, but of course the Braves haven’t been afraid to do things differently in order to maximize the overall talent they get in a single class before. As such, we have to at least consider the possibility they might get creative here. I think they’d like McKay or Gore and there’s a chance they cut an underslot deal (it would have to be at a huge discount and would still be risky), but Lewis is the best player on the board in this scenario.


Royce Lewis: going to Atlanta? (Photo: Bill Mitchell)

6. Oakland – Austin Beck, OF, North Davidson HS (NC)
Beck had a private workout in Oakland over the weekend and has the kind of tools the A’s can’t buy on the open market.

Read the rest of this entry »


The 2017 Draft Sortable Board and Thoughts on the Class

Intro
We’re cutting the ribbon on the 2017 MLB Draft Sortable Board. The board will evolve and expand as we approach the draft, and Future Value grades will be added as the cement dries on player evaluations. For info on the 20-80 scale, by which the players are evaluated and, ultimately, the board is governed, bang it here. For info on Future Value, it’s strengths and flaws as a shorthand measurement, read this.

Thoughts on the Class Quality
The 2017 class is about average on overall talent and perhaps a bit below average as far as depth is concerned. The strength atop the class, despite Florida RHP Alex Faedo’s slightly diluted stuff, remains the terrific group of college pitchers who all have a chance to go in the top half of the first round. Faedo, Oregon LHP David Peterson, Louisville LHP Brendan McKay, Vanderbilt RHP Kyle Wright, and North Carolina RHP J.B. Bukauskas are all fairly easy to project as starters and have a chance to make up 33% of the top 15 picks. UCLA righty Griffin Canning also has consensus starter projection but lacks the stuff of those ahead of him and has been used heavily, at times throwing 120-140 pitches in a single start.

Read the rest of this entry »


Valuing the 2017 Top 100 Prospects

Earlier this morning, Eric Longenhagen rolled out his list of the top-100 prospects in baseball, with Red Sox-turned-White Sox prospect Yoan Moncada at the top of his rankings. Helpfully, Eric’s rankings include the FV grade for each player, so that we can see that he really does see a difference between Moncada and the rest of the pack, as Moncada was the only prospect in the sport to garner a 70 grade.

As Eric notes in his piece, the grade is really the more important number here, as the ordinal ranking can create some false sense of separation, where players might be 20 or 30 spots apart on the list but offer fairly similar expected future value. The FV tiers do a good job of conveying where the real differences lay, highlighting those instances when Eric actually does see a significant difference between players, versus simply having to put a similar group of prospects in some order regardless of the strength of his feelings about those rankings.

But while the FV scale is helpful in binning players, it doesn’t do much to convey the differences between the tiers themselves. How much more valuable is a 60 than a 55? Or is a team better off with one elite 65 or 70 FV prospect or a multitude of 50-55 types? These are interesting questions, and ones that teams themselves have to answer on a regular basis.

Read the rest of this entry »


2017 Top 100 Prospects

Below is my list of the top-100 prospects in baseball. Each prospect has a brief scouting summary here with links to the full team reports embedded in their names where applicable. Those without links will have them added as I cover the remaining farm systems. Scouting reports are compiled with information provided by industry sources, as well as from my own observations. For more information on the 20-80 scouting scale by which all of my prospect content is governed, you can click here. For further explanation of the merits and drawbacks of Future Value, read this.

Note that prospects below are ranked overall and that they also lie within tiers demarcated by their FV grades. I think there’s plenty of room for argument within the tiers, and part of the reason I like FV is because it can illustrate how an on-paper gap that seems large may not actually be. The gap between prospect No. 3 on this list, Amed Rosario, and prospect No. 33, Delvin Perez, is 30 spots but the difference between their talent/risk/proximity profiles is quite large. The gap between Perez and prospect No. 63, Kyle Tucker, is also 30 numerical places but the gap in talent is relatively small. Below the list is a brief rundown of names of 50 FV prospects who didn’t make the 100. This same comparative principle applies to them.   -Eric Longenhagen

70 FV Prospects

Signed: July 2nd Period, 2015 from Cuba
Age 22 Height 6’2 Weight 205 Bat/Throw B/R
Tool Grades (Present/Future)
Hit Raw Power Game Power Run Fielding Throw
30/60 60/60 40/60 70/70 40/50 70/70

Scouting Summary
The tools are deafening. Moncada is a plus-plus runner with plus-plus arm strength, plus raw power and an advanced idea of the strike zone. He’s going to strike out, and there are some within the industry concerned about how much. That said, I think it’s important to consider that while Moncada was K-ing a lot late last year he was also a 21-year old who had played for just a month and a half above A-ball and, during a large chunk of that time, was learning a new position. The stat-based projection systems, KATOH and otherwise, seem comfortable with it, and so am I. I think he’ll provide rare power and patience while playing a premium position — he’s looked fine at second base in my looks this spring — and, while it might take adjustment at the big-league level, I think he’ll eventually be the best of this crop of minor leaguers.

Read the rest of this entry »


2017 MLB Arbitration Visualization

It’s that time of year again! This past Friday was the filing deadline for arbitration-eligible player contract offers. Once these numbers are published, I like to create a data visualization showing the difference between the team and player contract filings. (See the 2016 version here.) If you are unfamiliar with the arbitration process here’s the quick explanation from last year:

Teams and players file salary figures for one-year contracts, then an arbitration panel awards the player either with the contract offered by the team or the contract for which the player filed. More details of the arbitration process can be found here. Most players will sign a contract before numbers are exchanged or before the hearing, so only a handful of players actually go through the entire arbitration process each year.

The compiled team and player contract-filings data used in the graph can be found at MLB Trade Rumors.

Three colored dots represent a different type of signing: yellow represents a mutually-agreed contract signed to avoid arbitration, red represents the award of the team’s offer in arbitration, and blue represents the award of the player’s offer. A gray line represents the difference in player and team filings. Only players with whom teams exchanged numbers on January 13, 2017 will have grey lines. These can be filtered by clicking the “Filed” button.

The “Signed” button filters out players who have signed a contract for 2017; this will change as arbitration hearings occur. Finally, “All” includes every player represented in the graph. This year Jake Arrieta and Bryce Harper had the two largest contracts ($15.367M and $13.625M, respectively), but they both signed contracts before the filing deadline. This causes changes on the x-axis scale on the “Signed” and “All” tabs compared to the “Filed” tab, which is scaled to contracts under $10M.

The chart is sorted either by contract value or by the midpoint of the arbitration filings. The midpoint is the average of the two contracts and determines which contract the arbitrator awards based on his assessment of the relevant player’s value. The final contract value takes precedent over the midpoint since this represents the resolved value. Contract extension details will be written out over the data points. For our purposes, an extension is a multiyear deal that can’t be shown on the graph, since we are looking only single-year contracts for 2017.

Read the rest of this entry »


Our Most Popular Pieces of 2016

Every year, we run lots of pieces here in the FanGraphs family of blogs. We take a look at the “best” of them each week, but that’s fairly subjective, and there’s also an effort to spread the love, since a true “best of” post would just be 10-15 articles by Jeff Sullivan every week, and that wouldn’t be an entertaining exercise. Not even for Jeff.

This article is something we try to do every year, though sometimes I forget. This is all about the numbers — which posts were the most popular? We’ll do an overall top 15, since we do 15 posts for the “best of” post, with some honorable mentions as well. We’ll start at No. 15, because if nothing else, I want to make you scroll you down the page a little. Just in case it’s not clear, this top-15 list is going to be limited to pieces which were posted in 2016.

No. 15 (Mar. 29)
Let’s Find Rusney Castillo a New Home, by Dave Cameron
Sadly, Rusney Castillo did not find a new home, though he did hit better in the second half in Triple-A. I’m still not ready to give up on him, but Boston’s outfield is beyond crowded, so this story might not have a happy ending.

Read the rest of this entry »


A Long-Needed Update on Reliability

It’s been over a year now since Sean Dolinar and I published our article(s) on reliability and uncertainty in baseball stats. When we wrote that, we had the intention of running reliability numbers for even more statistics, including pitching statistics, of which we had included none.

That didn’t happen. So a little while ago, when I was practicing honing my Python skills by rewriting our code in, well, Python (it was originally in R), I figured, “Hey, why not go back and do this for a bunch more stats?” That did happen. Sean was/is swamped making the site infinitely better, though, so I was on my own rewriting the code.

In case you need a refresher, never read our original article, and/or don’t want to now, here’s a quick description of reliability and uncertainty: reliability is a coefficient between 0 and 1 that gives a sense of the consistency of a statistic. A higher reliability means that there’s less uncertainty in the measurement. Reliability will go up with a larger sample size, so the reliability for strikeout rate after 100 plate appearances is going to be much lower than the reliability for strikeout rate at 600. Reliability also changes depending on which stat is being measured. Since strikeout rate is obviously a more talent-based stat than hit-by-pitch rate (well, maybe not for everybody), the reliability is going to be higher for strikeouts given two identical samples. You can think of it like strikeouts “stabilize” quicker than hit-by-pitches.

Reliability can be used to regress a player’s stats to the mean and then to create error bars around that, giving a confidence interval of the player’s true talent. To continue with the strikeout example, I’ll add another point — namely that, the more plate appearances a player has recorded, the closer the estimate of his true talent will be to the strikeout rate he’s running at the time. In fact, strikeout rate is so reliable that, after a full season’s worth of plate appearances, a player’s strikeout rate will probably be almost exactly reflective of his true talent. The same cannot be said for many other stats, like line drive rate, which is mostly random; the reliability for LD% never gets very high, even after a full season’s worth of batted balls.

Read the rest of this entry »


An Improved KATOH Top-100 List

Back in January, I made some tweaks to my KATOH projection system, and have been using that updated model for the past several months. That model was unquestionably better than the previous versions, but it left me unsatisfied. While it addressed many of the flaws from previous iterations, there was still a lot of information it wasn’t taking into account.

I’ve been plugging away behind the scenes, and finally have a new version KATOH to share with the world. In what follows, you’ll find some detail on the new model, including its notable updates. I’ll be using this model in all of my prospect analysis from this point forward. Below, you’ll find a quick run-through of the notable tweaks, followed by an updated top-100 list.

*****

Added Features

Choosing projection window based on level, rather than age

In my previous model, I projected out based on a player’s age. If a player were 22, I projected him through age 28; If he were 24, I projected through age 30. This resulted in KATOH undervaluing players who were old for their level. The goal of KATOH is to predict the value a player will generate during his six-plus years of team control. By projecting a 22-year-old through age 28, KATOH failed to capture some of that value in cases where the 22-year-old was still in A-ball.

This time around, I chose my windows based on level, rather than age. I projected the next six seasons for players in Triple-A. I did the next seven for players in Double-A, eight for A-ballers, and nine for Rookie ballers.

Read the rest of this entry »


2016 Trade Value: #1 to #10

2016 TRADE VALUE SERIES
Introduction
Hon. Mention
#41-50
#31-40
#21-30
#11-20

And now here we are. After ticking through 40 of the most valuable players in baseball, we’ve come to the top 10, and what a remarkable list of players it is. The wave of young talent that has poured into baseball makes this group the best crop of talent I think I’ve ever seen in doing this exercise, and for the first time in a long time, there was actually a real question about who would rank #1. The top four, in fact, shifted around numerous times, and I didn’t settle on their final order until yesterday. And even at #5 and #6, you could make a legitimate argument that they belong in the conversation. This is a deep, strong, elite group of young players. With these kinds of stars already dominating at an early age, baseball looks to be in very good hands for the foreseeable future.

As a reminder for those who didn’t read the first four parts of the series, we’ve significantly upgraded the way we’re presenting the information this year. On the individual player tables, the Guaranteed Dollars and Team Control WAR — which are provided by Dan Szymborski’s ZIPS projections — rows give you an idea of what kind of production and costs a team could expect going forward, though to be clear, we’re not counting the rest of 2016 in those numbers; they’re just included for reference of what a player’s future status looks like. And as a reminder, we’re not ranking players based on those projections, as teams aren’t going to just make trades based on the ZIPS forecasts. That said, they’re a useful tool to provide some context about what a player might do for the next few years.

With those items covered, let’s get to it. Here is my take on the 10 most valuable assets in baseball.

Read the rest of this entry »


The 2016 July 2 Sortable Board

We’re cutting the ribbon on the 2016 July 2 Sortable Board. For background on the J2 process or the scouting grades and future value grades on the board, please refer to our July 2 Primer and this piece on the 20-80 scale. I’ll have full scouting reports up on the prospects ranked 11-25 tomorrow and the top ten on Friday and links to the reports will be added.

Some Notes on the Board

Included in the group are all the players currently eligible to sign during this J2 period, as well as those who I anticipate will be eligible at some point in the next eleven and a half months. This includes Cuban players like Randy Arozarena and Vlad Gutierrez, who are both a half-decade older than the others in the class. While I agree that the age gap creates a bit of conundrum, those players are subject to bonus pools and teams are forced to reconcile it in their own evaluations/valuations, so I think it’s important that we do the same here.

The board has 25 ranked players and then a group of others whom I consider to be 35 FVs listed below that in no particular order. The class has more players, and many of them will also be covered in the reports we roll out the rest of this week, but they profile either as org players or are too raw to consider as 35 FV players (or better) based on the sources to whom I’ve spoken.

Read the rest of this entry »