Archive for Closers

2/25/21

The latest episode of “The Sleeper and the Bust” is live. Support the show by subscribing to our Patreon!!

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• @sporer – Host
• @justinmasonfwfb – Co-Host/Producer

NOTABLE TRANSACTIONS/INJURIES/RUMORS

• Shohei Ohtani hits 97 in BP (4:50)
• Cody Bellinger a full go next week (11:07)
• Brandon Lowe getting reps at 3B (13:45)
• Vladimir Guerrero Jr. lost 42 lbs. (19:02)

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Acquiring saves in fantasy baseball is becoming more and more of a headache. The Tampa Bay Rays had 12 different pitchers notch a save in 2020. Imagine if it was a season of normal length? With the league trending towards using their best pitchers in high leverage positions instead of the conventional only ninth-inning role, it seems like grabbing saves are only going to get more complicated. Below you will see some closers that likely won’t be too popular but could help you in the long run. A quick side note, there are a lot of free-agent relief pitchers (ie. Brad Hand) so things can definitely change. If you would like to read part one you can check it out here.

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Note: Make sure to read Piotr’s comment. It’s a simpler in-season alternative.

A completely underappreciated class of players is non-closing relievers. With starters going fewer and fewer innings, the gap between the starting dregs and good non-closers has narrow considerably. This past season Devin Williams, Matt Foster, Josh Fleming, and Pete Fairbanks each ended the season as a top-60 pitcher value.  Starters don’t throw enough to get the Win or accumulate many strikeouts. A reliever can easily occur more strikeouts than a single-start starter in a single week. Additionally, the strikeouts usually come with better ratios and the off chance for a Win or a Save. Picking out elite middle relievers is tough, but I have a couple of simple rules to follow to help find them.

Determining who is going to be a good middle reliever in the upcoming season is tough. It’s almost impossible. First, few repeat being lights out each season (e.g. Andrew Miller). Second, the relievers who show the skills to be elite from season-to-season become closers and their price skyrockets. It’s a dynamic group.

The 2020 season added to the chaos. When it ended, MLB and fantasy teams were just settling into their rotations. Middle relievers were just getting to the point of becoming roster regulars. I don’t think they were as valuable in the shorter season where teams had excessive FAAB to spend on a new pitching staff each week.
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I know information from the 2020 season will be suspect for future use and that includes closer usage patterns. Some parts are interesting. Others useless. Before going through each closer situation, I figured it would be a blood bath. After a month of constant flux, the results are better than I expected (not one established closer lost his job in September). The useable information seems to be in line with the last few seasons.

First off, the emphasis of this study is to determine how many draft-day closers make it through the season. Here is this season’s list with all previous studies found here.

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Introduction

This is the fourth article in my wPDI vs. CSW series. You can catch up by reading the first three articles – on called strikes, whiffs and residuals.

Here is a quick summary of some of the basics of wPDI & CSW from this series:

Last year, I developed the Weighted Plate Discipline Index (wPDI) framework, whereby all pitches can be classified into six different outcomes as follows:

Each outcome is then assigned a weight, or an index. A% through F% are the percent of pitches thrown in each outcome. The general formula for wPDI, the Weighted Plate Discipline Index is given as:

wPDI = Index_A * A% + Index_B * B% + Index_C * C% + Index_D * D% + Index_E * E% + Index_F * F%

wPDI can generate an all-in-one sortable metric used to evaluate pitchers. The plate discipline framework may be tailored to mimic (or to correlate to) various measures of deception or effectiveness.

In the first three articles of this series, we developed indices for wPDI to approximate the PitcherList metric, CSW. The Called Strikes + Whiffs (CSW) statistic was featured in last year’s FSWA Research Article of the Year by Alex Fast, and is defined as:

Called Strikes + Whiffs
Total Pitches

We separately tacked the called strikes and whiffs components, and landed on the following wPDI equation to represent CSW: Read the rest of this entry »

Introduction

This is the third article in my series – wPDI & CSW. You can catch up by reading the first two articles – on called strikes and whiffs – found here and here.

Here is a quick recap of what we have covered so far:

In this series, we are looking at the PitcherList metric, CSW and how it relates to my plate discipline framework, wPDI. Last year’s FSWA Research Article of the Year by Alex Fast featured CSW, which is defined as:

Called Strikes + Whiffs
Total Pitches

With the Weighted Plate Discipline Index (wPDI) framework, all pitches are classified into six different outcomes as follows:

Each outcome is then assigned a weight, or an index. A% through F% are the percent of pitches thrown in each outcome. The general formula for wPDI, the Weighted Plate Discipline Index is given as:

wPDI = Index_A * A% + Index_B * B% + Index_C * C% + Index_D * D% + Index_E * E% + Index_F * F%

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08/27/20

The latest episode of “The Sleeper and the Bust” is live. Support the show by subscribing to Fangraphs! With a standard $20 membership, you help maintain and improve our database of stats and graphs as well as our staff of 8 full-time employees and over 50 contributors. The premium ad-free membership at $50 year supports site growth and also includes faster load speeds and better site performance. You can also support monthly for just $3.

Follow us on Twitter

• @sporer – Host
• @JasonRRMartinez – Guest

NOTABLE TRANSACTIONS/INJURIES/RUMORS

• Taijuan Walker to TOR
  • How active do you expect the deadline to be?
• Joe Jiménez out as DET closer
• Is Craig Kimbrel getting the job back in CHC?
• 5 guys for the last 5 TB saves – anyone rosterable?
• Who would you trust most as COL closer: Bard-Diaz-Estevez?

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This is the second article of my series – wPDI vs. CSW. For those new to either metric, I will quickly catch you up. [The opening article can be found here.]

In last year’s FSWA Research Article of the Year, CSW Rate: An Intro to an Important New Metric, Alex Fast of PitcherList examines his site’s pitching statistic, CSW. The short and simple formula for CSW is defined as follows:

Called Strikes + Whiffs
Total Pitches

Independently, I came up with the concept of Weighted Plate Discipline Index (wPDI). With wPDI, we ask just three questions, or three binary events for every pitch:

1. Was the ball thrown in the strike zone?
2. Was the ball swung on?
3. Did the batter make contact with the ball?

Every pitch can then be classified into 6 possible pitching outcomes based on the above. The definition of each outcome is as follows:

Each outcome is then assigned a weight, or an index. The formula for wPDI, the Weighted Plate Discipline Index is then given as:

wPDI = Index_A * A% + Index_B * B% + Index_C * C% + Index_D * D% + Index_E * E% + Index_F * F%

A% through F% are the percent of pitches thrown in each outcome, and the indexes are linear multipliers to obtain the aggregated, sortable metric.

What CSW has most in common with wPDI, is that it shares the same denominator – Total Pitches. That being the case, we can attempt to use the wPDI framework to express the PitcherList metric. CSW is rooted in Baseball Savant data, while wPDI is fed by FanGraphs figures. By exploring the similarities and differences between the metrics, we can also uncover some great nuggets of understanding.

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Introduction

Last year’s FSWA Research Article of the Year, CSW Rate: An Intro to an Important New Metric, was awarded to Alex Fast of PitcherList. In his article, Alex presents the pitching statistic, CSW – a metric which was originally coined and created by Nick Pollack in 2018. As cited in the author’s article summary, CSW is more predictive than Swinging Strike Rate (SwStr%), and is more descriptive than Whiff Rate (Whiff%).

The short and simple formula for CSW is defined as follows:

Called Strikes + Whiffs
Total Pitches

I enjoy elegant formulae. Sure – wOBA, wRC+ and the like are extraordinary metrics in their own right, but they are not the simplest to jot down. CSW is plain, simple, easy to understand, and nicely predictive.

Coincidentally, and unknowing of CSW, I came up with the concept of wPDI back in 2018. I then published my first works of the plate discipline framework on April 2, 2019. The original article was entitled Introducing: Weighted Plate Discipline Index (wPDI) for Pitchers, and can be found here.

What jumped out to me immediately upon reading Fasts’s article – was that the two metrics have something very in common. CSW and wPDI both share the very same denominator – Total Pitches. The base of both of our metrics are identical. Both utilize the very same sample size, both stabilize just as quickly, and both describe baseball through the very same lens – the pitch.

As a quick reminder of how wPDI works, every pitch can be classified into 6 possible pitching outcomes.

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Note: If you read this on Saturday evening, I’m likely to add a few names as I do some more research and more news rolls in.

Projecting this season’s FAAB is going to be a nightmare. In past seasons, the process seemed fruitless at times but it’s going to be even more of a mess this season. Most leagues are giving teams the same amount of FAAB to cover a third of the season that will lead to some high dollar desperate bidding. Additionally, when a league was drafted matters. For instance, I have two leagues running FAAB tomorrow. The one from early March I need to clean up (e.g. one had Trey Mancini) and the other I drafted last so I may gamble on some different bullpen arms.

In this article, I’m going to at least cover the players in demand using CBS’s (40% or less ownership) and Yahoo’s ADD/DROP rates. Both hosting sites have the option for daily and weekly waiver wire adds. CBS used a weekly change while Yahoo looks at the last 24 hours. Yahoo is a great snapshot of right now while CBS ensures hot targets from early in the week aren’t missed.

Additionally, I’m going to add anyone else I fill is appropriate.

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