I started diving into the dividing out the effects of injuries limited ramp time for the short season and didn’t get far. Some league-wide rates didn’t add up. Hitters who head to the IL are outperforming the healthy population.

Note: This analysis is math-heavy. I summarized my findings and questions at the end.

To start with, here are the league-wide OPS values for all nonpitchers as I compare the first month as players might have been ramping up.
Read the rest of this entry »

Introduction

Back in 2018, I introduced a game theory approach for comparing baseball projection systems. Proudly, the article was nominated for Baseball Article of the Year by the Fantasy Sports Writers Association (FSWA). The game theory methodology is now back for its third straight year.

This approach is not the standard projections comparison analysis that most others embark on. The typical comparison makes use of some type of statistical measure. The standard analysis involves calculating least square errors, performing chi-squared tests, or perhaps even hypothesis testing. My method does not use any of these capable methods.

Read the rest of this entry »

Introduction

On June 23, Commissioner of Baseball Robert D. Manfred, Jr. announced that Major League Baseball would begin its 2020 regular season on July 23^rd. It submitted a 60-game regular season schedule for review by the MLB Players Association. The proposed schedule featured divisional play, with the remaining games being played against their opposite league’s corresponding geographical division.

That 60-game proposal came to fruition. It was an unusual season to say the least. The St. Louis Cardinals did not play a game from July 30^th through August 14^th. Doubleheader games were all seven innings each, and extra innings started with a runner on 2^nd base. The designated hitter was in effect for the National League, and so on, and so forth. In the end, the season came and went, and the Los Angeles Dodgers were crowned as champions of the Fall Classic.

Now we are squarely in the midst of the baseball offseason. Most fantasy baseball players are on holiday from their annual game, eagerly awaiting one of the most important ingredients to their annual draft preparation …

Projections.

For many (including myself), player projections are the backbone that form the strategies and planning for the upcoming fantasy baseball season. Understanding how player statistics are forecasted for the coming season is the essential part of fantasy preparation.

Read the rest of this entry »

Introduction

Previously, I looked at the largest auction player bargains of 2020. These were the players who were highly profitable after considering their opportunity cost of acquisition. Value should always be considered relative to cost.

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 made use of the July NFBC Average Auction Values, which was one of the best sources of “market” data this year.

Whereas I previously looked at the players who generated the most excess value in 2020, today’s attention will be directed to what I refer to as the value drainers. These are the largest “rip-offs” of the season – i.e., the players who earned the most negative profits for fantasy owners on a full season basis (net of their auction price).

Prior to unveiling 2020’s most unprofitable players, it is important to discuss one additional step in the analysis – the capping of values. I have previously spoken about this concept, but I will touch on it again today.

Eduardo Rodriguez was a player that I drafted on a few of my fantasy rosters this season. His NFBC average auction value during July drafts (auctions) was $7. In Tout Wars, I acquired the Boston pitcher for $10. Unfortunately, Rodriguez came down with COVID-19. He developed heart complications due to the virus, and consequently did not pitch a single inning in 2020.

The question is – what value did Rodriguez accumulate in 2020? What damage did he cost to your team’s aggregate value? Owners certainly lost their original investment on him, but how much more were they penalized? He wouldn’t have made it to one’s active roster – but how much did it cost owners for Eduardo taking up a bench spot?

Read the rest of this entry »

I’ve been grinding my way through the various inputs I use in addition to projection to make my team-building decisions. It’s time for the final few lists.

For reference, here are the factors I’ve already published.

• Hitters who played through an injury.
• Starter and Hitter Injury Risks
• Pitcher Single Season Projections and pERA Values
• Hitter StatCast and Single Season Projections

Also, I’m not going to take into account two minor league related factors: Voit/Muncy List (2020 list) and bumping up hitting prospect projections. Without a minor league season, the Voit/Muncy list can’t be generated.

As for bumping up hitting prospects, I’m going to pass this year. I know there will be prospect rankings but I’ll not give two-shits about them. Even with some reports from the alternate sites and fall instructs, the information will be spotty at best.
Read the rest of this entry »

And the 2021 draft prep data dumps continue. Today, the injury chances for hitters and starters take center stage. I’ve been trying to wrap my head around injuries since I’ve started writing about baseball. The reason it’s a difficult subject to nail down is that the information is spotty.

Also, if a player checks all the factors to head to the IL (Injured List), he could have that one magical season (i.e Stephen Strasburg in 2019) when he never gets hurt. Adding to the mess is that the league moved from the 15-day IL to the 10-day IL, back to the 15-day IL (for only pitchers), and then just started making up rules for 2020. Through it all, the following risk assessments cut through a lot of the narratives and are solid going into next season.

Starting Pitchers

During the extended offseason, started reinvestigating my analysis of pitcher injury chances with a literature review, injury chances, and how injuries lead to increase aging. While age and fastball velocity are still factors, career IL days and arm injuries are most likely to point to future injuries and degraded performance. The simple thresholds were 120 career IL days and three or more arm injuries. Here is a list of the starters (min 10 IPin 2020) who meet both criteria (full list).
Read the rest of this entry »

Introduction

The key to succeeding in fantasy baseball:

Maximize the value of your accumulated roster.

At the start of a draft, each fantasy owner is handed a set of draft picks. Each owner receives a 1^st round selection, a 2^nd round selection, a 3^rd round selection, and so on. If your league chooses to hold an auction rather than a more traditional serpentine draft – each team is handed $260 at the auction start. Players are then purchased throughout the auction with the use of these finite funds.

The key to gainfully drafting is not to draft a 3^rd round player in the 3^rd round, or a 9^th round player in the 9^th round, etc. The key is to draft a 3^rd round player in the 10^th round, and a 9^th round player in the 20^th round.

In an auction, if you purchase every player at his projected value, you will have paid $260 of auction dollars for $260 of value. What you will have is an average team. You won’t finish last, but you won’t finish first. Instead, with your $260 – you need to buy some $290 or $300 or $310+ of total value.

The key is to make a “profit” on as many roster spots as you can. The goal is to purchase players at bargain prices.

I have asked this question before – but it is worth asking every now and again. Suppose that you competed in an NFBC fantasy baseball auction back in July this season.

Which player was the better purchase?

Bryce Harper (OF, PHI)

OR

Andrew McCutchen (OF, PHI)

Before opining on the better Philly outfield purchase of 2020, let’s take a look at their final 2020 stat lines:

On the surface, it seems like a pretty obvious answer. Harper had more HR, SB, R and a better batting average than McCutchen. He had just one fewer RBI.

Read the rest of this entry »

After focusing the 2021 prep on hitters for the last couple of weeks, it’s time for pitchers to take center stage. There is no way to hide that the following is mostly a data dump with a small bit of analysis. Welcome to mid-October 2021 draft prep.

Single Season Projections

These projections are about as simple as it gets. It takes a pitcher’s 2020 results and projections the pitcher going forward based just on those stats. With some pitchers completely changing their pitch arsenal, I find these projections are a better evaluation tool than multi-year averages. For a reference, here is the full write up on how they are created.
Read the rest of this entry »

Last season, I introduced two independent projections to help fantasy managers evaluate players. One is based on just the hitter’s previous season production and the other is based entirely on StatCast data. It’s time to have them available for 2021 draft prep.

As I previously stated, this is the reason behind the projections:

I created the projections with inspiration from “The Model Thinker” by Scott Page.* The author states, “do not put too much faith in one model”. To further explain this stance, he states:

“The lesson should be clear: if we can construct multiple diverse, accurate models, then we can make very accurate predictions and valuations and choose good actions.
…
Keep in mind, these second and third models need not be better than the first model. They could be worse. If they are a little less accurate, but categorically (in the literal sense) different, they should be added to the mix. “

Several projection systems already exist. Other projections take many projections and combine them. The issue is that projections are exclusively based on the previous season’s results (e.g. stolen bases, home runs) while incorporating some various levels of regression, aging factors, and yearly weightings. My goal is to create projections that don’t follow this standard cookie-cutter formula. I expect the projections to not be the most accurate because “all models are wrong.” I’m wanting a unique perspective on a hitter’s talent.
Read the rest of this entry »

The 2021 draft season may be the most unpredictable one … ever. While several rule changes (e.g. NL DH) can cause some evaluation inconsistencies, the biggest monkey wrench to deal with will be the lack of previous season stats. Projection systems will weight the 60-game 2020 season (37% of a normal season) to historical averages but what are those who don’t use traditional projections systems? Or read or listen to people who don’t care for them in order to create a compelling narrative? It’s time to anchor some historical context around those narratives.

All analyses “should” start with at least some set of weights. For those who start with one, they’ll have an advantage. For those who guess the correct one, they’ll have a huge edge. The issue with setting weights is how to create a short season one that fills all the narratives.

First, most of the players were rushed to get game-ready and were not 100% ready when the season started. So the beginning of the season stats could be used to replicate this ramping up period, but the weather was still warm at the season’s end increasing offensive output. Maybe the entire first month should be ignored with everything in flux. Possibly the last two because that were the 2020 regular season months. played. So, I decided to look into all the possible options including a horrible first attempt.
Read the rest of this entry »