Archive for Projections

Early Projections: Hitting Counting & Rate Stats

In my last article, I focused on the early-season projection accuracy of hitter playing time. Today, the rest of the standard 5×5 Roto hitting stats finally take center stage. Besides the counting stats, I turn each of them into rate stats to help determine projection accuracy. After completing the analysis, three options stick out.

As a reminder, here are the projections I used and some background on the analysis.

Projections

  • Steamer (FanGraphs)
  • ZIPS
  • DepthCharts (FanGraphs)
  • The Bat
  • The Bat X
  • Davenport
  • ATC (FanGraphs)
  • Pod (Mike Podhorzer)
  • Masterball (Todd Zola)
  • PECOTA (Baseball Prospectus)
  • RotoWire
  • CBS
  • Razzball (Steamer)
  • Paywall #1

To create a list of players to compare for accuracy, I took the TGFBI ADP (players in demand at that time) and selected the hitter in the top-450 drafted players (30-man roster, 15 teams in TGFBI). Generally, all the players were projected with the following exceptions. Rotowire and Pods didn’t have a Josh Rojas projection while Pods also didn’t have projections for Jazz Chisholm Jr. and Mike Brosseau. Additionally, CBS was missing several projections. I am blamed for part of it because I forgot to pull designated hitters and they didn’t project as many outfielders. Finally, I just removed the projection for Yasiel Puig. Read the rest of this entry »


Projection Accuracy: Early March Plate Appearances

I’ve always wanted to do a projection analysis, especially at different time points. I had it started in 2020 and everything fell apart with the shortened season. I’m starting off simply today by looking at at-bat projections from March 1st with the Wisdom of the Crowds prevailing.

The reason I chose March 1st was that The Great Fantasy Baseball Invitational (TGFBI) started drafted that day. I pulled all 14 projections that morning. I contacted the paid providers and all but one agreed to have their name associated with the results. They are:

Projections

  • Steamer (FanGraphs)
  • ZIPS
  • DepthCharts (FanGraphs)
  • The Bat
  • The Bat X
  • Davenport
  • ATC (FanGraphs)
  • Pod (Mike Podhorzer)
  • Masterball (Todd Zola)
  • PECOTA (Baseball Prospectus)
  • RotoWire
  • CBS
  • Razzball (Steamer)
  • Paywall #1

Read the rest of this entry »


Beat the Shift Podcast – Live Episode from First Pitch Arizona 2021

The Live Episode from First Pitch Arizona 2021 of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

Guest: Derek Carty

What’s new in THE BAT X for 2022?

Strategy Section

  • Risk
    • How to deal with injury risk
    • How to discount for binary risk
    • Low risk players / consistent players
      • Injury Guru’s Trivia of the Week
    • Categorical Risk
    • Replacement Level Risk
    • Ace Pitcher Risk – Should you draft pitchers in the first few rounds?
    • Stacking Risk – Doubling up in one league vs. spreading out in two different leagues
  • Auction
    • Spread the Risk vs. Stars & Scrubs
      • League depth matters
      • Grab value in every price tier
    • The value at the corner infield position
    • The Joey Votto nomination strategy

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Beat the Shift Podcast – Season Wrap-Up Episode w/ Ian Kahn

The Season Wrap-Up Episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

Guest: Ian Kahn

Most memorable moments of the baseball season

Strategy Section

  • Which is more important at the draft – Having better knowledge of the players, or better valuation & auction/drafting skills?
  • Which is more true?
    • Leagues are won on draft day vs.
    • Leagues are won with great in-season moves & pickups
  • Injury Guru’s Trivia of the Week
  • Do you have to walk away with speed in the first few rounds?
  • The Case for An Ace – Do you need to walk away with an ace (or two aces) in the first few rounds?
  • Is it worth paying up for a super elite catcher (Salvador Perez / J.T. Realmuto)?
  • Is it worth paying up for closers?
  • Can you wait on corner infielders?
    • Should you disregard positions in the first few rounds?

Our successes and failures in 2021

Sandy Alcantara – Is he a top 10 pitcher for 2022?

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Ariel Cohen’s 2021 Bold Predictions Recap

The full one hundred and sixty-two major league season has now concluded. After two whole tumultuous years, it is with great joy, that I am able to utter this sentence once again. After just a 60-game short season in 2021, completing the full schedule docket is a sparkling achievement.

It is now time to check back on how we fared during the past season. Here at RotoGraphs, that tradition starts with reviewing our pre-season bold predictions.

As always, I will remind my readers that we will never succeed in perfectly mining all of our bold predictions, nor should we. If this was simply a contest to obtain high precision, then we would have filled our lots with easy guesses. “Gerrit Cole will strike out 180 batters” – is an amazing baseball accomplishment, but it is far from bold. In fact, ATC was the low projection system on Gerrit Cole, and predicted an expected 257 Ks. Forget bold – the statistics may have suggested a probability of circumstance close to 60-75%.

Bold predictions are meant to be a far more remote event. They are meant to be unlikely.

At the other end of the spectrum, bold predictions are also not meant to be impossible. “Albert Pujols will steal 25 bases,” is not within the realm of any reasonable possibility. That is a prediction into the weird or absurd – which is NOT the purpose of these columns.

This author perennially suggests that bold predictions should lie in the 70th to 90th percentiles. In other terms, we should be boldly calling events that are 10-30% likely to occur. In return period speak – an occurrence that should unfold every 1 in 3.3 to 1 in 10 years. It should be a prediction that would happen once, twice or thrice a decade.

The point of the exercise is to highlight certain undervalued (or overvalued) players by choosing a few unlikely, but achievable outcomes. By doing so, the goal is for the reader to pay the player(s) in question a bit more (or less) attention than the market would suggest.

Read the rest of this entry »


Probabilistic Standings Simulations – Mixed Auction LABR

Introduction

Well, we are down to the final week of fantasy baseball. After a short 60 game season in 2020, we are blessed to be approaching game 162 here in 2021!

We here at RotoGraphs, are hoping that you are right in the thick of the competition for your league’s fantasy championship title. For me – I am right in the middle of an intense battle with one of the legends of rotisserie baseball, Ron Shandler, as well as our own Jeff Zimmerman.

The league that I am referring to is the Mixed Auction LABR league. I was one this division of LABR’s inaugural members back in 2020.

Above is a photograph of some of the participants of the live 2020 auction draft from Tampa, Florida. Due to COVID, this year’s draft was held online. LABR is one of the longest running (if not THE longest currently running) expert leagues of rotisserie baseball. It is an honor simply to be invited to compete.

The Mixed auction LABR league is a very standard 12-team 5×5 rotisserie league. We use the standard scoring categories (R, RBI, HR, SB, BA, W, K, SV, ERA, WHIP), and standard rosters (14 B, 9 P). Scoring periods are weekly, trading is allowed, and the initial draft is of the auction variety. Last year, I went into great detail recapping my draft – a two-part article that can be found here and here.

As many of you might already know, as a risk management actuary – my day job consists of running simulation models to recommend purchasing decisions to the upper management of my company. I simulate possible fires, hurricanes, medical malpractice claims, and other liabilities that we may be on the hook for.

Borrowing several actuarial methods, I adapted some of these models in order to develop a proprietary in-season fantasy baseball tool. It is a probabilistic final standings simulator. Using the current league accumulated standings, a source of projected ROS statistics, a volatility and a correlation model – I run 4000 iterations of what might happen for the remainder of the season.

Read the rest of this entry »


Beat the Shift Podcast – Final Week Decisions Episode

The Final Week Decisions Episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

League Updates

Strategy Section

  • Final Week Strategies & Decisions
    • No fear of droping players
    • Categories categories categories
    • Players in a pennant race
    • Younger players
    • Hot hand
    • Projections vs. final month stats
    • Roster flexibility in the final week
    • Go with your gut
    • Rotation schedules revamped for playoff bound teams

Injry Guru’s Trivia of the Week

Waiver Wire

Pitcher Preview

Injury Update – Reuven gives us the injury updates.

Housekeeping

  • Upcoming Episode Schedule
  • Thank you for listening !!!

 

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Do You Need Runs? Do You Want RBI?! You Need Home Runs!

Back in April, I conducted an analysis that looked at which category made the most sense to punt in roto-category scoring leagues. The results proved (somewhat) the offensive category most conducive to that strategy is stolen bases. That’s easy.

But you punted already. The punting is done. That ball ain’t coming back. Now you need to win, win, win! Therefore, you need home runs. When taking the last 15 games of the season from qualified hitters from 2015 to 2019, and limiting the dataset to just the three categories: home runs, runs, and RBI, I get the following correlations:

End of Season Correlation Sums
HR R RBI
HR 1.00 0.48 0.69
R 0.48 1.00 0.45
RBI 0.69 0.45 1.00
SUM 2.18 1.94 2.15
Among qualified hitters in their last 15 games, 2015-2019.

Homeruns, late in the season, have the highest sum of correlation. When batters hit home runs in small samples, they’re bringing runners in and scoring runs themselves. No duh. Here are three players that are projected (as of 9/20/21) to hit three more home runs according to our Depth Charts Rest of Season Projections. Now, I know you deep-league players are going to scoff and turn your nose up at these players who have not been available since your draft, but let’s give some love to the churn and burn, shallow leaguers, trying to squeeze out a few more category tens. 

C.J. Cron, Depth Charts ROS: 3 HR, 8 RBI, 6 R. ESPN Roster %: 70.9. 

Mike Podhorzer’s recent article encourages you to stack up on Rockies hitters for good reason. Pod did not include Cron because he assumed he would be gobbled up by your league mates already. But he recently went 0-for-11 before a two-hit night in Washington followed by another 0-for-3 night. There are surely managers out there that have dropped Cron and are unaware of the fact that he will be hitting in Colorado for nine games, as pointed out by Podhorzer. At home, Cron has batted .315 and on the road, has batted .226. While he is slumping as of late, his second-half .283 average is improved from his first-half .254 and his ROS projections could add a few more needed digits to your totals. 

Miguel Sanó, Depth Charts ROS: 3 HR, 7 RBI, 6 R. ESPN Roster %: 50.2.

Sano is one of those players, like Cron, that you may just be able to pick up on the wire because other managers have lost faith. But, recently Sano has been on a tear going 6-for-21 with two home runs, four RBI, and five runs. What is there left to say about Sano? He ranks 11th in savant’s Brls/PA% and fourth in average exit velocity. He’s going to hit the ball hard and hopefully, he puts it over the fence three more times as projected. Luckily, you can grab him on a hot streak and, hopefully, won’t have to suffer through too many hitless games the rest of the way. 

Tyler O’Neill, Depth Charts ROS: 3 HR, 7 RBI, 7 R. ESPN Roster %: 71.8.

This season I have fallen in love with xwOBA and its in-season predictive power. Tyler O’Neill ranks 16th in xwOBA among minimum balls in play qualified hitters. His teammate Paul Goldschmidt is just above him at 15th and since August 15th the Cardinals rank 9th in wOBA. With an offense clicking, a man that looks like he could hit a ball to Greenland, and projections to further the narrative, O’Neill should be rostered on your team the rest of the way.


Beat the Shift Podcast – Mid-September Episode

The Mid-September Episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

Strategy Section

  • Last 2 weeks of the season
    • No more fear of droping players
    • Specific team schedules in the penultimate week, and lineup decisions
    • Contending teams and playing time

Waiver Wire

Pitcher Preview

Injury Update – Reuven gives us the injury updates.

Live show announcement!

 

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Beat the Shift Podcast – Early September Episode

The Early September Episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

Waiver Wire

Pitcher Preview

Injury Update – Reuven gives us the injury updates.

League Updates

Strategy Section

  • Frequency of success vs. Magnitude of success
  • Avoid same team stacking in fantasy baseball?

9/11

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