Archive for Injuries

Beat the Shift Podcast – First Week Episode w/ Glenn Colton

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

Guest: Glenn Colton

Intro

  • Biggest regret of the draft season

Strategy Section

  • How long into the season should you still use pre-season projections?
  • Trading early in the season
  • Fernando Tatis Jr.
    • Injury Update
    • What discount would you be willing to take in order to trade him away?
    • The Tatis trading market
  • Setting fantasy lineups in April
  • Setting waiver claims in April
  • Closer volatility

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Beat the Shift Podcast – Bold Predictions Episode w/ Scott Pianowski

The Bold Predictions Episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

Guest: Scott Pianowski

Strategy Section

  • 2021 Draft Trends
    • Starters pushed up
    • Reliever pricing
    • Prospects
  • Adalberto Mondesi
    • Injury Update
    • The case for drafting him
    • The case against drafting him
      • Discussion of Risk and Risk-Adjusted Pricing
    • Comparison to Byron Buxton
    • Comparison to Carlos Gomez

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Beat the Shift Podcast – Spring Training Injury Update Episode

The Spring Training Injury Update Episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.

Spring Training Injury Updates

Batters

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Beat the Shift Podcast – Injury Episode w/ Stephania Bell

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

Guest: Stephania Bell of ESPN

Tommy John Surgery

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Hurt Hitters are Outperforming Healthy Ones. Why?

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.
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2021 Injury Risks for Starters & Hitters

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).
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Help Needed: Hitters Who Played Through a 2020 Injury

10/12/20: Note: First, thanks to everyone for the help. Second, the comments are closed so if any player needs to be added, reach me at @jeffwzimmerman on Twitter. -Jeff

With the season just over, I’d like some help collecting the hitters who played through an injury in 2020. First, I’m not looking for those who may have struggled because of COVID-19 complications (e.g. Austin Meadows, Scott Kingery, Yoan Moncada). That’s another study for a later date.

The information can help fantasy managers help point to why a hitter may have struggled when their 2021 prep begins. Also, my research has shown that these hitters see a production decline. It’s one offseason data point to get out of the way.

Please let me know if I’m missing any in the comments. All I ask is that as much information as possible be provided like the location (e.g. hip), when (e.g. summer camp), or an article link. Just a name doesn’t help. From my own notes and begging on Twitter, here are the hitters I have so far (list from 2017, 2018, 2019). Thanks.
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Pitcher Injury Factors: Literature Review & Rankings Update

Note: About 95% of this article was finished before the news that MLB is going forward with a 60 game season.  I finished it knowing that more imporant work needs to be done. This series now comes to an abrupt end and I will return to the series once the season is over one way or the other.

I’m continuing my quest to predict pitcher injuries and their effects as best as possible. I started grinding through the process last week and found through some additional work that injuries from just the past two seasons drag down production. Today, I’m going to go over some other possible other injury causes and provide updated injury ranks.

While I’ve done quite a bit of my own work on pitcher injuries, I decided to scour the web come up with some new ideas. Here are some possible ideas ranked by how I’d like to investigate them.
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Workshop: Pitcher Injury Factors

Projecting pitcher injuries and their effect seems like the Holy Grail for fantasy analysis. From years of research on the subject, I find it’s just a frustration filled enterprise with no firm resolution. Until a start to the 2020 season has been agreed upon (or I eventually find an acceptable answer), I plan to continuously grind for a workable understanding of pitcher injuries.

First, this article will be a work in progress as I try to find answers to various questions. I can’t fill the RotoGraphs article list with a new article every time I make a change or add more information (Ed. note: Sure you can, Jeff, we’ll post all of ’em!). Every few days or so, I’ll summarize the findings from the previous article’s work and keep moving forward. The series will come to an abrupt end if the framework exists for a start to the season since other analysis will then take priority.
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Starter Injury Accumulation Leads To Accelerated Aging

In the final part of my latest injury investigation, I trying to see if pitchers who have accumulated a certain amount of injuries age worse than those who have stayed healthy. And if so, are there any rules-of-thumb that can be used. I’ve already examined chronically injured hitters and if accumulated days missed for pitchers lead to more Injured List (IL) trips. The results aren’t groundbreaking findings that constantly hurt pitchers declining faster at certain thresholds but now some numbers can be added to the narratives.

My overall goal is to see the accumulative effect of various injuries can lead to a pitcher aging faster. The factors I had never accounted for are accumulated IL days and times of the IL for elbow, shoulder, or arm injury. Also, I’m only diving into starters (GS/G >= .5) from 2010 to 2018 because relievers, especially closers, are already tough to project. I divided the starters by their age based on a steep production decline starting at age 29. For the pitcher’s talent level, I used ERA- that increase, like ERA, as a pitcher performs worse. The results were a little mixed.

One item to keep in mind, pitchers have historically, maintained their production, or declined as they age. While there is always the exception of a pitcher improving, most are headed down with the average change of 2.8 points of ERA- a year.

The Difference in Production Based on Total Accumulated IL Days
Total IL days Median ERA- Diff Median IP Diff Avg IL Days
28 and Younger
0 1.9 18.1 20.2
1 to 90 2.2 -18.8 29.9
91 to 180 7.3 5.7 37.6
181 to 270 5.1 13.4 35.9
>270 0.6 58.0 38.3
29 and Older
0 0.6 -24.2 15.5
1 to 90 2.9 -17.2 25.8
91 to 180 0.4 -13.0 27.4
181 to 270 5.7 -23.6 39.8
>270 4.5 -4.1 40.4

What I found from this data run and others not listed, age doesn’t matter. Also, while the average IL days steadily climb, the ERA- value jump seems to increase except when it doesn’t. I simplified the results and settled on a 120-day threshold with the following results.

The Difference in Production Based on Total Accumulated IL Days
Career IL Days Median ERA- Diff Median IP Diff Avg IL Days IL Chance
<= 120 days 1.8 -10.5 24.0 40.0%
> 120 IL days 5.2 -8.0 37.8 54.8%

Once a pitcher goes over the 120-day threshold (i.e. a full MLB season), their career declines at a faster than expected rate. Again, there are always going to expectations but rostering too many of these hurt starters increases the downside potential.

Now for one more angle that I had jotted in my to-do book. Most major pitcher injuries center around the arm, so I decided to focus just on them. I bucketed the information by the number of times a pitcher was on the IL for a general arm (e.g. forearm), elbow, or shoulder injury (no wrist or hand). With more than 99% of all instances in the single digits, a simple workable division was easy to find at 2 IL stints.

The Difference in Production Based on Arm-Related IL Trips
IL Stints for Arm ERA- Change Total IL Days IL Days IL Chances
Two or Fewer 2.3 252.6 26.5 42.0%
Three or More 5.5 358.0 39.6 59.0%

Even pitchers who had two or few IL stints weren’t in great shape with them averaging over 200 days on the IL. That third arm related IL trip can be a deal-breaker because the pitcher will, on average, will see their skill degrade about twice as fast as those with two or fewer trips.

And finally here are the pitchers who have over 120 days on the IL and three or more arm related IL stints (min 10 IP last season).

Starters Who Should Age Faster Than Expected
Name Age Days Arm IL Stints FBv
Brett Anderson 32 918 6 90.8
Clay Buchholz 35 717 4 89.5
Rich Hill 40 667 6 90.3
Jason Vargas 37 657 3 84.3
Homer Bailey 34 626 8 93.0
Adam Wainwright 38 618 4 89.9
Hyun-Jin Ryu 류현진 33 558 4 90.6
Charlie Morton 36 551 4 94.4
Michael Pineda 31 511 5 92.6
Yu Darvish 33 492 5 94.2
Nathan Eovaldi 30 470 5 97.5
Zack Wheeler 30 460 5 96.7
Matt Harvey 31 433 4 93.2
Carlos Carrasco 33 432 5 93.5
Anibal Sanchez 36 427 5 90.5
Stephen Strasburg 31 421 6 93.9
Andrew Heaney 29 419 4 92.5
Danny Duffy 31 414 7 92.4
Mike Minor 32 397 3 92.6
Martin Perez 29 377 5 94.1
Andrew Cashner 33 375 4 93.9
Drew Smyly 31 355 3 91.2
Felix Hernandez 34 313 4 89.6
Jhoulys Chacin 32 300 3 90.0
Ivan Nova 33 299 4 92.4
Jordan Zimmermann 34 289 3 90.5
Steven Matz 29 244 5 93.4
Clayton Kershaw 32 217 3 90.4
David Price 34 199 4 92.0
Cole Hamels 36 182 4 91.4
Vince Velasquez 28 144 4 94.1
Gerrit Cole 29 143 4 97.2
Jake Arrieta 34 140 3 92.5
Chris Sale 31 121 4 93.2

Several high ADP names fill the list like Morton, Darvish, Strasburg, Kershaw, and Cole. Does this information mean I won’t roster the pitcher? Maybe. With a fantasy team only starting nine pitchers, I’d like those pitchers to be as rock-solid as possible with little chance of decline. The downside means that I will need them to come with a discount and is an easy tiebreaker. That’s not helpful since that’s everyone’s injury take.

My stance on the information is wishy-washy because I am unsure. I haven’t fathomed a way to weight the information especially if I want to use it to create auction prices. I need to find a way to change ERA- to fantasy-relevant stats. It wouldn’t be that hard but I’m looking at two different inputs (total days and arm related trips). Also, I should incorporate possible time missed from previous IL trips. I’m going to let the information stew for a bit and unless I come to some divine revelation, I’ll perform a forced dive once this season is over or canceled.