2021 is over and we turn the page to 2022. Here are my current ranks for the first base position for 2022, my second of the offseason. I will post updates as things change with signings, injuries, or news in Major League Baseball.

You can review my ranks for other positions here: https://fantasy.fangraphs.com/category/rankings/
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Those who have been smart enough to pick up a copy of the 2021 Baseball HQ Forecaster (and likely posted a picture of it to their Twitter) have already read through the “Other Diamonds” portion of the text. It’s my favorite part. In it, there is a section called Paradoxes and Conundrums and it states that a player’s year to year improvements can be labeled as, “a point in a growth trend, an isolated outlier or a complete anomaly…” I loved that line when I read it. But, so much strange happened in 2020 and I think it should have some say. In this post, I’ll go over three pitchers who increased their K% from 2020 to 2021 but whose gains might be skewed by the 2020 season. Two of these pitchers really just rose back up to where they were in 2019. An increase in K% is wonderful but is it a trend, an outlier, or, to incorporate my own twist, to be expected?

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The age of the reliever is going to continue in 2022, if early ADP is any indication, with much of the position gaining steam as we move deeper into the offseason. And given how diluted the position continues to be as saves get less concentrated by each individual, is it that surprising?

Whether for saves now, or rare-earth metals in a dystopian future, it’ll usually behoove you to adjust your expectations about what people are willing to do when it comes to acquiring scarce resources.

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The latest episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

Guest: Jeremy Hefner, New York Mets

Interview

• Highlight of career
• Game preparation
  • Preparing players for the mental & physical aspects of the game
  • Is game planning more about having players pitch to their strengths, or about exploiting weaknesses of your opponents ?
  • In-game management
    • 3rd time through the order
  • Use of an “opener”
  • How “first-in” and “next-in” pitchers coming out of the bullpen are decided

• Health
  • Keeping pitchers healthy throughout the season
  • Extended rest between outings – good or bad?
• Analytics
  • How best to use analytics as a coach
    • Objective vs. subjective view
  • Analytics vs. Gut
    • Pulling Blake Snell in the World Series
    • Trusting analytics, and when to go with your gut
  • How are stats/analytics used to help players on the major league level?
    • Which are the key stats/indicators that you look at?
• Injury Guru’s Trivia of the Week
• Rule changes in baseball
  • Universal DH
  • 3 batter minimum rule for pitchers
  • Extra inning runner on 2nd base rule
• Position players pitching in baseball
  • Effectiveness of Ariel pitching in the major leagues

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The latest episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

Guest: Trevor May, New York Mets

Interview

• Highlight of Career
• Game planning
  • Is about pitching to your strengths, or exploiting your opponents weaknesses?
  • Game planning team by team
  • Helping other teammates with game planning
  • Having a “default” game plan
  • Using MLB the Show
  • Learning from other teammates
• Health
  • Recovering from TJS
  • Switching from starter to reliever
  • Keeping healthy all season long
  • Extended rest between outings – good or bad?
• Injury Guru Trivia of the Week
• Analytics
  • Trevor’s own stat – Command Quality Ratio (CQR)
  • Trevor’s CQR and Ariel’s wPDI
  • Horizontal movement vs. vertical movement on pitches
  • Pitch velocity, spin rate, spin efficiency
  • Hanging out with the analytics staff
• Mailbag
  • Who do you NOT want to face with the bases loaded?
  • Why #65?
  • Day games vs. night games
  • Favorite inning to pitch in
  • Love of cats
  • Favorite podcast

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I’m finally done crunching numbers (part 1, 2, 3, 4, 5, 6, 7, and 8) with late-season pitcher rate stats being the last to go. It’s so monotonous and painstaking, but I’ve learned a few things going through it all.  The Average rises to the top … again with several other projections popping to the top.

First, here are the projections analyzed.

• Steamer (FanGraphs)
• ZIPS
• DepthCharts (FanGraphs)
• THE BAT
• Davenport
• ATC (FanGraphs)
• ZIELE (Fantasy Pros)*
• Pod (Mike Podhorzer)
• Masterball (Todd Zola)
• PECOTA (Baseball Prospectus)
• RotoWire
• Razzball (Steamer)
• Paywall #1
• Average of the above projections

To create a list of players to compare for accuracy, I took the NFBC ADP (players in demand at that time) and selected all the pitchers in the top-450 drafted players (30-man roster, 15 teams in the Main Event) in ten or more leagues. Then I removed all the pitchers who never threw an inning. Read the rest of this entry »

I’m on the home stretch with most of the comparisons (part 1, 2, 3, 4, 5, 6, and 7) already done. Today, the counting stats for the late-season pitcher projections taking center stage. The boys over at Razzball dominated most of the results with the aggregators coming in near the top … again (might be a theme).

First, here are the projections analyzed.

• Steamer (FanGraphs)
• ZIPS
• DepthCharts (FanGraphs)
• THE BAT
• Davenport
• ATC (FanGraphs)
• ZIELE (Fantasy Pros)*
• Pod (Mike Podhorzer)
• Masterball (Todd Zola)
• PECOTA (Baseball Prospectus)
• RotoWire
• Razzball (Steamer)
• Paywall #1
• Average of the above projections

To create a list of players to compare for accuracy, I took the NFBC ADP (players in demand at that time) and selected all the pitchers in the top-450 drafted players (30-man roster, 15 teams in the Main Event) in ten or more leagues. Then I removed all the pitchers who never threw an inning. Read the rest of this entry »

I completed the counting stat analysis on early March pitcher counting stats after finishing the hitter projection comparisons (part 1, 2, 3, 4, and 5).  it is time for the pitchers to take center stage. For the first article, I’ll measure the accuracy of counting stats from early March. The results were mixed this time with the aggregators having a decent showing.

First, here are the projections analyzed.

• Steamer (FanGraphs)
• ZIPS
• DepthCharts (FanGraphs)
• THE BAT
• Davenport
• ATC (FanGraphs)
• Pod (Mike Podhorzer)
• Masterball (Todd Zola)
• PECOTA (Baseball Prospectus)
• RotoWire
• Razzball (Steamer)
• Paywall #1
• Average of the above projections

To create a list of players to compare for accuracy, I took the TGFBI ADP (players in demand at that time) and selected all the pitchers in the top-450 drafted players (30-man roster, 15 teams in the Main Event) in ten or more leagues. Then I removed all the pitchers who never threw an inning. Read the rest of this entry »

Recently I published my Peripheral Prospect hitters for 2021. In a perfect world I would have published my thoughts on a wider array of hitters periodically throughout the season. Alas, this is not a perfect world, so I settled for a year-end catch-all post.

Rinse and repeat for pitchers. The rules: (1) They pitched in the high minors (Double-A or Triple-A) but not the MLB level, and (2) they cannot be featured on any prominent top-100 list. Top-100 updates count (and all due respect to those updated lists, because revising your priors is not a bad thing!).

Brace yourselves: I’m kicking this off with three Cleveland farmhands with whom I implore you must familiarize yourself. Eight Peripheral Prospect pitchers for your fine Wednesday:

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Now that the analysis hitter projection comparisons (part 1, 2, 3, 4, and 5) are done, it is time for the pitchers to take center stage. For the first article, I’ll measure the accuracy of counting stats from early March. Razzball had a near clean sweep as it only missed on Saves.

First, here are the projections analyzed.

• Steamer (FanGraphs)
• ZIPS
• DepthCharts (FanGraphs)
• The Bat
• Davenport
• ATC (FanGraphs)
• Pod (Mike Podhorzer)
• Masterball (Todd Zola)
• PECOTA (Baseball Prospectus)
• RotoWire
• Razzball (Steamer)
• Paywall #1
• Average of the above projections

To create a list of players to compare for accuracy, I took the TGFBI ADP (players in demand at that time) and selected all the pitchers in the top-450 drafted players (30-man roster, 15 teams in the Main Event) in ten or more leagues. Then I removed all the pitchers who never threw an inning. Read the rest of this entry »