You should either buy an upper-tiered backstop, or you should stream catchers.

I will make the above case by analyzing what would have happened over the past couple of seasons in two-catcher formats. We will take a look at the hit & bust rates by catcher price point. We will also as examine the profitability / return on investment of each backstop tier.

Last month, my colleague, Jeff Zimmerman wrote about the volatility of catchers. He concluded that catchers are a relatively safe fantasy baseball position to invest in. Today, I will go a bit further and break down the various parts of the catcher curve. We will explore the segments contributing to wiser investments, and the parts where you ought to stay away from, if possible.

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The first cut of the 2020 ATC Projections have arrived! Fantasy baseball draft prep season is now officially ready to be thrusted into high gear!

There are three ways to view and utilize the ATC projections on this site.

• Full Projections
• Individual Player Pages
• Auction Calculator

Full Projections

The full ATC projections can be found by heading to the “Projections” drop-down tab on the menu bar by clicking on “ATC.”

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In my last two columns, I uncovered potential undervalued speedsters and power bats by comparing the Steamer projections to the current NFBC ADP. The exercise now continues this week for batting average.

In 2019, there were 55 qualified players with least a .280 batting average. There were 36 players above the .290 mark, and 19 above .300. Tim Anderson led all of baseball with a .335 BA, followed by National Leaguers Christian Yelich and Ketel Marte who each hit .329.

Though 2019 had almost two dozen players who hit at least .300, you won’t find a projection set that will have that many BA studs. Projections are typically more conservative. Steamer only projects 17 regular players to bat over .290 in 2020, and only 5 players to eclipse the .300 mark.

For this year’s potential batting average bargains, we will focus on all players with a Steamer projection of a .278 BA or more. This will give us a number of players who can greatly help your fantasy team’s batting average in in 2020.

For these draft value comparisons, I look at:

• The player ranks as computed by the FanGraphs Auction Calculator with Steamer projections (standard NFBC 15 team roto league settings).
• The current NFBC ADP (of Draft Championship leagues from December 4, 2019 to present).

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In last week’s edition of this series, we uncovered several undervalued speedsters for 2020 drafts. We did so by comparing the Steamer projections to current NFBC Average Draft Position reports. Today, we will go through a similar exercise for potential power bargains.

For this article’s draft value comparisons, I look at:

• The player ranks as computed by the FanGraphs Auction Calculator with Steamer projections (standard NFBC 15 team roto league settings).
• The current NFBC ADP (of Draft Championship leagues from November 27, 2019 to present).

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A new year and in turn, a new decade is now upon us! We have begun the Roaring Twenties once again. More importantly, fantasy baseball draft season is now upon us.

I am not one for paying large amounts of attention to positional rankings. Knowing who is valued as the 7^th best shortstop, or who the 11^th ranked second baseman is – is helpful no doubt, but that alone will not win you your fantasy leagues. We can spend time debating whether Rhys Hoskins is better than Trey Mancini, but since the duo have similar profiles, the discussion isn’t all that helpful on its own.

To me, the task that needs the higher priority – is the comparison of market prices to player valuations. The greater assignment is to determine the players which the market undervalues. One of the first exercises that I engage in – is to find the players which projections foretell a superior year as compared to where they are currently being priced.

The two needed components to complete this analysis are very generally:

• Projections
• Market

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Introduction

I thought it would be an interesting exercise today to look at fantasy baseball in a different way – profitability at the major league team level. Certainly, the better real-life clubs consist of not only more fantasy relevant players, but also of the higher quality ones.

But what else can be said about the profitability of the fantasy player pool at the team level? Does a higher spend translate to more value for fantasy owners? Does winning ball games correlate with higher levels of fantasy profitably? What can we learn from looking at player investments from this unique ball club perspective?

Let’s dive in and see …

Definitions & Methodology

For today’s analysis, I have used the same pre-season pricing and full-season valuations as in my game theory projections comparison. There are three specific quantities that are relevant here:

• $Value – This is the 2019 full season rotisserie value that each player provided this season. I use my own auction calculator which employs a Z-score methodology to generate the $Values. Standard NFBC 15-team settings are assumed (Mixed AL/NL, $260 budget, standard NFBC positions). I assume that players are only eligible at their original 2019 positions + any positions that they were expected to gain in the first 2 weeks of the season.
• $AAV – Average Auction Value – This is the average of what NFBC owners paid to acquire players during the heart of the 2019 draft season. These values come from all NFBC auctions between March 15, 2019 and March 25, 2019.
• $Profit – The difference between the $Value and the $AAV per player.

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In my previous article, I compared a number of baseball projection systems for the 2019 season using a game theory approach. We looked at the profitability of each projection system in the context of simulating what would transpire at a fantasy baseball auction. We measured each projection’s successes and failures.

Several readers had approached me to further split out the resulting analysis into the hitter and pitcher components. By popular demand, I have decided to do exactly that. Today’s article will detail the analysis by its offensive and defensive elements.

For a refresher on the process and methodology, or for reference, please refer to the original post which can be found here.

Overall Results:

First, let’s quickly remind ourselves of the results of overall total profitability by projection system in 2019.

As we previously saw, ATC and Steamer were the two best overall systems according to this analysis in 2019.

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Introduction

Last year, I introduced a game theory approach for comparing baseball projection systems. Today, I have once again applied the same methodology in order to evaluate which set of baseball projections excelled in 2019.

Most others who venture in such a comparative exercise make use of some type of statistical analysis. They calculate least square errors, perform a chi-squared test, or perhaps do hypothesis testing. I won’t be engaging in any of these capable methods.

Instead, I will look to determine the profitability potential of each projection system by simulating what would have happened in a fantasy auction draft. Instead, I’ll play a game.

What do I mean by this?

First, think about what happens in a fantasy baseball draft auction.

Suppose that Rudy Gamble of Razzball (or anyone who exclusively uses the Razzball projections) walks into a rotisserie auction league prior to the 2019 baseball season. Let’s say that Rudy decides to participate in an NFBC auction league. Mr. Gamble would take his projections and run them through a valuation method to obtain auction prices. He would generate a list that looked something like this …

Razzball Projected Values: Chris Sale 49, Mike Trout 45, Jacob deGrom 44, Max Scherzer 44. Mookie Betts 42, J.D. Martinez 37, Giancarlo Stanton 36, Justin Verlander 35, … , Brandon Lowe 1, Josh Reddick 1, Mark Melancon 1, etc.

In addition to the raw projected values generated by the Razzball system, Rudy would then establish a price point that he is willing to pay for each player. There might be a premium that he will pay for the top ones, and a discount that he expects to save on lower cost players. He may be willing to bid up to $46 on Jacob deGrom (valued at $44), but would only pay $1 for a $4 Jason Kipnis, etc. Read the rest of this entry »

Last week, I looked at the largest auction player bargains of 2019. These were the players who were highly profitable after considering their opportunity cost of acquisition. We defined the bargain amount as:

$Bargain = $Value – $AAV

We defined $Value as the accumulated 5×5 full season rotisserie value of each player, and $AAV as the average auction cost to purchase the player pre-season. We make use of the NFBC Average Auction Values which are readily available to us.

For the full methodology of how these player bargains are calculated, please refer to my introductory post.

Today’s attention will be directed to what I refer to as the value drainers. These are the largest “rip-offs” of 2019 – i.e., the players who earned the most negative profits for fantasy owners on a full season basis (net of their auction price). Read the rest of this entry »

Winning Fantasy Baseball is All. About. Value.

Introduction:

Several years back, a friend of mine was preparing for his fantasy baseball auction. He asked me a simple question –

“How much is Lorenzo Cain worth according to your projections?”

That was a straightforward question for me to answer. I ran the ATC Projections through my valuation model. I set the league parameters to match his specific league settings, and I generated a value for Cain of $18.

A few days later, my friend came back to me and said,

“Ariel, I bought Lorenzo Cain at my auction for $18! Isn’t that awesome?!?!”

I responded “No, that’s awful. If Lorenzo Cain is worth $18, you need to only pay $14 or $15 or $16.”

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