This is the second installment of my Unlikely Pairs series. Last week I looked at Mike Trout and Freddie Freeman and their elite offensive production. This week we’ll be aiming a little lower in the draft, and maybe it will be more controversial.

Domingo Santana v Shin-Soo Choo.

These two players are on opposite ends of the career spectrum. Santana, 25 years old, just put up great numbers in his first full season in the majors.  Domingo Santana is a bit of a late bloomer, having spent full seasons in both AA and AAA, both with the Astros, prior to advancing. His AA season was particularly mediocre, as he suffered deep drops in both walk rate and batting average. The following season, age 22 in AAA, his walk rate and batting average both bounced back, but he was only given a total of 18 major league plate appearances. In mid 2015, still in AAA, he was traded to the Brewers as part of the Carlos Gomez/Mike Fiers trade. In 2016, Santana injured his elbow and missed most of the season. So, 2017 was his first real chance in the majors, and he certainly ran with it, hitting 30 homers, stealing 15 bases, and achieving 126 wRC+.

Meanwhile, Shin Soo Choo, 35 years old, enjoyed a bounce back year after an injury plagued 2016 campaign.  Choo established himself as a solid and reliable player in 2008, and put up consistent 20 HR, 80 R, 60 RBI seasons from 2008 through 2015 with two exceptions. Read the rest of this entry »

For the last three years I have run an industry mock draft during the month of September. It has been a fun exercise that suits two purposes.

1. It is an early look at what the industry feels about the next season, especially because most people don’t have ranks or projections prepared to rely on.
2. September can be a hard month to come up with things to talk/write about.
3. I am a masochist.

This year I decided to turn it up a notch. I started four separate mock drafts including 57 different analysts. Here are the mock draft (you can click the title of the of each table to go to each mock) and analysts involved: Read the rest of this entry »

For the last three years I have run an industry mock draft during the month of September. It has been a fun exercise that suits three purposes: Read the rest of this entry »

Recently I created a new dynasty baseball league customized around the basic game of Ottoneu.  The more you play Ottoneu the more you come to appreciate how deep the player pool really is, and the longer I play fantasy baseball the more interested I become in the minor league development process.  While there is still plenty of luck involved, the satisfaction of “discovering” the next Rhys Hoskins before everyone else is a feeling that keeps me coming back to the game over and over.

In addition to the standard economics of Ottoneu where each league consists of twelve owners and 480 rostered players (minors and majors), our league will roster an additional 180 minor leaguers (15 extra per team) in an attempt to “develop” successful franchises for years to come.  Since the regular MLB season is wrapping up soon and many fantasy owners are starting to look towards 2018, I thought it might be helpful to review our prospect draft over the next several posts to give you some insight into the valuation of these minor league lottery tickets.  If nothing else, this draft should help you “discover” a few names to keep an eye on going forward.  If you have specific questions about players or the thought process of why they were selected, fire away in the comments section, as I’ve asked each owner in the league to be on standby to provide feedback as we review the rounds.  

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Necessity is the mother of invention. –Plato

I wanted to know how owners were valuing Michael Brantley’s playing time. Currently, at NFBC, he is going 233rd overall in NFBC drafts. Over a full season, he is projected to be more productive than the two outfielders going right before him, Carlos Beltran and Randal Grichuk. Owners, via calculations or their gut, are significantly downgrading a full season Brantley. But by how much? I needed to find the league replacement value.

I could go through all the whole league setting and final the values like I did for my Tout Wars league. While I recommend this detailed procedure for any league an owner takes seriously. I was just looking for a quick answer and stumbled upon one while looking over my Fantrax league.

Our friends at FanTrax.com have their players listed with projected stats and ADP. Having both downloadable made a projection sheet quickly come together.

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Yesterday, I participated in a 12-team NL-only auction league hosted by CBS (full analysis available soon from CBS). To add a wrinkle to the experience, I decided to try to construct an average team. No studs, but especially no scrubs. Just spend as close to $11.3 per player as possible. The main reason for this approach is that I wanted to stay away from the bottom feeders common in “Only” auctions. I was looking for regulars across the board. The strategy fell apart as my fortitude and simple rules failed.

First off, I wasn’t able to do much auction planning since I found out about it less than a week ago. Additionally, I didn’t want to use the traditional spread-the-risk approach of a bunch of $20 players. Mine idea was a No Scrubs approach. With $20 players, several $1 players enter the team. I wanted semi-talented players with jobs for every position.

After creating projections using the SGP method, I had to come up with an auction framework. In their book, Simple Rules, Donald Sull and Kathleen Eisenhardt go over how to create and utilize simple rules. Here their basic premise.

You want to make the rules as simple as possible to increase the odds that you will follow them. You can also limit your rules to two or three … to increase the odds that you will remember and follow them.

All right, I decided to go with just two rules.

1. Targets players between $5 and $17 ($11 +/- $6). I would not be able to get every player for exactly $11, so I was going to need some leeway.
2. Don’t overpay or reach for players.

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In a recent chat, Paul was asked the following question:

Challenge accepted. By using our auction calculator, I wrote a procedure for any league type which creates an ADP to auction value formula. I will step through the process for any league and provide a few standard equations.

Step one: Set up your league settings in our auction calculator.

Go through all the boxes and make sure each option is set correctly especially the number of bench players to bid on. For a projection, use the Depth Charts.

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Rays traded Logan Forsythe to the Dodgers for Jose De Leon

After looking over several factors (e.g. league, park, etc.), the biggest change for Forsythe will be the players surrounding him and his lineup position. Currently, we have the Dodgers projected for 4.6 Runs per games while the Rays are at 4.3 Runs per game. A better offense equates to more plate appearances, Runs, and RBIs.

My one worry is lineup position. In the games he started last year, he always led off. Right now, RosterResource.com has him again leading off. If he struggles, the Dodgers have better lineup replacement options than the Rays did. His value could plummet if moves down, especially to the eighth spot.

As for De Leon’s value, the key will be how many innings he throws. With the Rays not really contending this season, he could spend quite a bit of time in the minors or be up in a couple of weeks. No one knows for sure.

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Just yesterday, I mentioned I was happy to get Michael Pineda in the 19th round in Lindy’s mock draft. I am not a believer he can quit getting hit around so hard and therefore lower his ERA near his FIP. I do though want the pitcher with a +9 K/9 and a walk rate under 3 BB/9.

Using NFBC average draft position data, Pineda’s is getting picked as the 230th player off the board but he has gone as early as 184th. A spread of 46 picks is about three to four rounds depending on league size. I created a simple spreadsheet to help an owner know the chances a player is still available at each of their picks thereby knowing when to wait on a player or immediately pick them up.

Merging an owner’s personal projections and the current ADP is probably one of the most important processes in a preparing for a draft. It takes some time (which I understand not everyone has) but it can give an owner a nice leg up on competition. These owners understand when they can get 5th round values in the 12th round.

In past articles, I demonstrated how to go through each round and use ADP to see which players may or may not be available. I would sort of gamble on when a player may go using the earliest and average pick. By setting up a spreadsheet to calculate the normal distribution using the draft pick data from NFBC.

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Not everybody bothers with mock drafts. However, if you’re the type of person to read articles on RotoGraphs, you probably mock. Public mocks can be painful – too many autodrafts, noob picks, and people selecting straight from the site ADP. Not to rub your nose in it, but I’m fortunate. My position gives me ready access to mock drafts with fellow industry folk. Our drafts are usually meant to be publicly discussed. It keeps us honest.

I usually do about 10 mock drafts per season. In the past, I’ve generally picked true to my valuations. In other words, I made sure to stretch just enough to get my favorite sleepers and breakout picks. Last night, I participated in a mock with the RotoBaller team. After the first few rounds, an all to obvious question occurred to me – why am I picking guys I like?

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