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.
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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.
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The 2020 MLB regular season has now concluded. In most years, this introductory sentence would be a simple fact. One ordinarily would not pay much attention to such an evident truth. However, in 2020, the consequence of baseball completing the year without a major full stop is a sparkling achievement.

Yes, the Marlins and Cardinals did not play for the course of about a week due to team COVID infections. Yes, there were more make-up doubleheaders played in 2020 than in any season during my lifetime. Yes, there were a few teams that made the playoffs despite a losing record. Yes, the league-wide batting average of .245 was the 6^th lowest full-season mark since 1900.

But baseball made it through, and now embarks on their expanded playoffs journey.

As such, it is now time to check back on how we fared in the fantasy season. For me personally, it was a rather positive one. I did not finish below 6^th place in any league that I played in this year. Amazingly, I was crowned as the 2020 Tout Wars Head to Head League Champion, my very first expert league title. 2020 showed that the ATC projections work well, even in smaller sample sizes.

In today’s article, I will recap my 2020 bold predictions. To remind the reader, the goal at the outset was to predict 70^th to 90^th percentile events (10% to 30% likely occurrences). I don’t expect to get the majority of these correct. If I wanted to achieve a higher success rate, I would simply have predicted that Jacob deGrom would win the Cy Young award, and the like.

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This month last year, Connor Kurcon of Six Man Rotation set out to quantify the location aspect of command (or “LRP”). By establishing an accounting system that credited and debited pitchers for changes in ball-strike counts based on the attack zone of and hitter’s disposition (take? swing? ball in play?) for every pitch, he effectively created an alternative to Pitch Value (PVal) that rewards optimal movement through ball-strike counts but with much more pitcher and hitter context.

His findings are as you’d expect: Jacob deGrom and Justin Verlander lead the pack, with Gerrit Cole, Max Scherzer, and Clayton Kershaw not far behind. Other budding aces like Jack Flaherty and Mike Clevinger pepper the list, and some pleasant surprises (such as Brendan McKay, Caleb Smith, and, for those still thirsting, Jake Odorizzi) are scattered throughout as well. Out of the bullpen, newly anointed relief ace Nick Anderson led the pack followed by the underrated Emilio Pagán, breakout reliever Giovanny Gallegos, and others.

Near the end of his post, Kurcon includes a subhead dedicated to Kyle Hendricks where he highlights how Hendricks, widely respected as a command artist, fares lukewarmly by measure of LRP. He then reminds us “LRP doesn’t paint the full picture of command.” True that.

Fortunately, Kurcon has left the door open for me to tie up loose ends with find Gs I’ve been meaning to write up for a couple of months now. Never fear, Hendricks is the command artist we know and love — it’s just that he relies heavily on incurring contact in optimal pitch locations. It is a needle very few pitchers can thread, but Hendricks does it masterfully.

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To say the least, the 2020 fantasy baseball season will go down as a one-of-kind. A late start led to a 60 game sprint. Seven-inning double-headers. Weeks of rescheduled games because of COVID-19 positive tests. The National League DH. Twenty-eight-man rosters in September. Each of these on its own would fill the headlines. With the changes coming all at once, they felt overwhelming. I’m hoping to calm everyone if any and hopefully not all of the changes happen again. Here is some advice on how to handle the changes.

The help divided up into league setting and individual manager focus. While I inserted plenty of my own advice, I wanted to make sure as many people as possible contributed so Tweeted out and asked during my chat for input.
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Some previous research, including my own, has pointed to changes in Sprint Speed being a sign a player’s talent has changed. I decided to investigate changes from 2019 to 2020 to find who could be struggling and why. Many hitters are experiencing a drop and just a few are up.

In some way, the following information should be picked apart for a longer research article with some miraculous/groundbreaking/made-up claim that batters came to this season out of shape and that is why offensive production is down. I don’t care. All I want to know is who are the hitters who could be breaking out or down. Figuring out why is for the offseason. It’s now time to wins leagues.
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Opening day is finally here!

In 2020, we had two distinct draft seasons – both in February/March as well as in June/July. Some fantasy teams of mine were drafted four or five months ago, while others were assembled just this past weekend. We typically spend all winter longing for the time when our fantasy teams finally start accumulating statistics. This year, due to the tragic global pandemic of COVID-19, we had to wait even longer. We are now finally here. Tonight the standings go live!

I am well aware that there is still much suffering in the U.S. and in the rest of the world from the disease. I do not mean to make light of the world’s situation by any means in my enthusiasm for baseball’s return. At the same time, watching our nation’s pastime played day in and day out, may aid the morale of the country. Although there will be many challenges, I am hopeful that the MLB will be able to start and finish the abbreviated 2020 season without major hiccups.

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There is no argument that if two position players would be guaranteed to produce the exact stats, the one with multi-position eligibility should have more value. The added flexibility would be helpful while drafting or setting lineups. The question of how much value does it add remains unanswered? Todd Zola and I have attempted to answer the question with Todd coming to the conclusion of “adding $3 or $4 to each player in mixed formats, and a couple bucks in single-league formats.” That’s fine in theory but I wanted to see how the market values the flexibility in this short season by matching similar players with and without extra positions. In the end, the results matched up with Todd’s findings.
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Name value is a helluva drug in the fantasy game and often leads to overvalued players going several rounds higher than comparable players. Sometimes the name value is indicative of a star-level player who has shown heights in his past that are worth betting on at a loftier pick than his would-be equal counterpart, but a lot of times it’s just an opportunity to scoop comparable skills much cheaper.

Here’s one such case at each position using The BAT X projections:

CATCHER

Yasmani Grandal 116 ADP | Projection .235 AVG, 27 HR, 71 RBI, 71 R, 2 SB

Salvador Perez 158 ADP | Projection .255, 28, 81, 62, 0

A big part of this difference is that fact that Perez missed all of 2019 due to Tommy John surgery. Prior to that, Perez put up four straight seasons of 20+ HR with strong RBI counts (for the position) and decent R totals which is exactly what Grandal has done in his last four years. In standard leagues, Perez is arguably better thanks to spiking some useful batting averages over the years while Grandal is always a drag in that position (OBP leagues are a different story as Grandal has a career 14% BB rate). This three-round difference is almost certainly based on the fact that Perez is returning from injury and despite being a Grandal fan, I’ll take the discount.

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In my previous article, I gave an update on my Weighted Plate Discipline Index (wPDI) metric. wPDI arises from the core ingredients of plate discipline – looking only at zone rates, swing rates and contact rates.

An important distinction regarding wPDI, is that its sample size is quite a bit larger than other statistics. Many other stats are based on innings pitched, or even per plate appearance. The denominator of wPDI is pitches. While batter outcomes such as strikeouts and walks stabilize fairly quickly, wPDI can work even faster.

Let’s now take a look at the 2019 leaderboards for wPDI, to see if we can find some undervalued players.

Starting Pitchers

Above is the 2019 wPDI leaderboard for starting pitchers.

Blake Snell lead all starting pitchers in wPDI in 2019. The key to Snell’s success was his “out of the zone” plate discipline. In particular, Snell’s Outcome A (out of the zone, swung on and missed) was the 2^nd highest of all qualified pitchers in baseball. In 2019, Blake produced a K% rate of 33.3%, the highest of his career. He logged a whopping 147 strikeouts in just 107 innings pitched. Both FIP and xFIP (3.32 & 3.31 respectively) agree that his 4.29 ERA last year was somewhat unlucky.

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