The Z Files: What is Behind the Increase in Strikeouts?

The Z Files: What is Behind the Increase in Strikeouts?

This article is part of our The Z Files series.

Before delving into the topic at hand, let's put a bow on tracking the home run data. My research shows the home run rate (HR/PA) is predictive after 450 games. MLB reached the milestone earlier this week. As has been the lean, 2021 just a tick ahead of 2017. If the trend holds true, the final HR% should be close to 3.44%. In 2019, it was 3.82% while 2017 finished at 3.29%.

With homers wrapped up, let's turn our attention to strikeouts. One of the early storylines is the spike in punchouts throughout MLB. My hypothesis is if there is a specific subset of pitchers responsible for the increase, we can leverage that information when making moves. This is applicable in season-long formats with respect to trades and acquisitions, as well as aiding when streaming pitchers. It's also apropos to DFS since strikeouts are such a key component of scoring.

To begin, here is a lay of the land, looking at the season through Thursday's games compared to a similar number of games in 2019 and 2018. I'm not including 2020 since there were so many nuances disqualifying the data.

K%

2021

2019

2018

Overall

24.5

23.0

22.3

Starter

24.1

22.3

21.6

Reliever

25

23.9

23.2

Home

25.1

23.4

22.6

Away

23.8

22.5

21.9

SwStr

12.6

12.1

11.7

CallStr

31.5

31.2

31.7

Overall, strikeouts are up 1.5%, about a 6% increase. This is significant enough to affect game play in all formats.

While relievers still fan batters at a higher

Before delving into the topic at hand, let's put a bow on tracking the home run data. My research shows the home run rate (HR/PA) is predictive after 450 games. MLB reached the milestone earlier this week. As has been the lean, 2021 just a tick ahead of 2017. If the trend holds true, the final HR% should be close to 3.44%. In 2019, it was 3.82% while 2017 finished at 3.29%.

With homers wrapped up, let's turn our attention to strikeouts. One of the early storylines is the spike in punchouts throughout MLB. My hypothesis is if there is a specific subset of pitchers responsible for the increase, we can leverage that information when making moves. This is applicable in season-long formats with respect to trades and acquisitions, as well as aiding when streaming pitchers. It's also apropos to DFS since strikeouts are such a key component of scoring.

To begin, here is a lay of the land, looking at the season through Thursday's games compared to a similar number of games in 2019 and 2018. I'm not including 2020 since there were so many nuances disqualifying the data.

K%

2021

2019

2018

Overall

24.5

23.0

22.3

Starter

24.1

22.3

21.6

Reliever

25

23.9

23.2

Home

25.1

23.4

22.6

Away

23.8

22.5

21.9

SwStr

12.6

12.1

11.7

CallStr

31.5

31.2

31.7

Overall, strikeouts are up 1.5%, about a 6% increase. This is significant enough to affect game play in all formats.

While relievers still fan batters at a higher clip than starters, the gap is closing. However, starters are tossing fewer innings, so the raw number of strikeouts by starters hasn't changed much.

The home/away data is included since the difference has been narrowing, lessening home field advantage. The reason most often cited is that increased umpire scrutiny is helping the accuracy of calls. At least so far this season, the gap is growing again, rendering home field advantage more important, which is most relevant when streaming pitching.

Next up is examining how early-season data compares to final numbers. The difference between final numbers and those above are presented, so a positive number indicates an increase.

K%

2019

2018

Overall

0.3

0.7

Starter

0.5

0.6

Reliever

0.1

1.0

Home

0.1

0.6

Away

0.5

0.8

SwStr

-0.1

-0.2

CallStr

0.3

0.2

Oh joy, we can expect even more strikeouts as the season progresses. It's curious to note swinging strikes drop a bit while called strikes increase. Please note the called strikes shown here are a bit different than what Alex Fast (PitcherList.com) uses for his groundbreaking CSW analysis. Above is simply called strikes per take. Alex fine-tunes his metric.

Other than noting there are more strikeouts at home, there isn't much actionable. To that end, let's get granular and see if there is a specific pitch or type of pitch responsible for the leap in whiffs.

Four-Seam Fastball

YearK%SwStrCallStrSw+Call Str

2021

23.1

11.2

34.2

45.4

2019

21.7

10.3

34.2

44.5

2018

20.3

9.7

34.7

44.4

OK, now we're getting somewhere, as there are more strikeouts on four-seamers. Here is the average velocity and spin rate on the four-seamers through the same point of the season:

YearmphSpin

2021

93.5

2311

2019

93.1

2289

2018

92.7

2266

Velocity and spin are both up. Perhaps this is a result of the slightly lighter 2021 ball with marginally higher seams. It can't be anything the pitchers are doing to the ball because MLB is cracking down on that (written with tongue firmly planted in cheek).

This data is interesting, but it requires a deeper dive to identify the arms most likely to benefit. That said, there's research out there showing strikeouts correlate with velocity, so it makes sense harder throwers benefit the most.

Two-Seam Fastball and Sinker

YearK%SwStrCallStrSw+Call Str

2021

15.4

7.9

37.3

45.2

2019

13.3

6.9

35.0

41.9

2018

12.7

6.6

35.3

41.9

Here is another pitch generating more strikeouts, though the rate is still well below that of the four-seam fastball. Even so, pitchers relying on sinking action to induce grounders are fanning more hitters too. For what it's worth, the source I used began pooling two-seamers and sinkers together this season and no longer listed them separately.

Cutter

YearK%SwStrCallStrSw+Call Str

2021

22.2

13.3

30.3

43.6

2019

20.6

12.4

29.4

41.8

2018

21.3

12.7

29.8

42.5

Hmm, do you see the same pattern I observe? So far, strikeouts are up across the board, making it difficult to unearth specific pitchers. Spoiler alert: Hang in there.

Curve Ball

YearK%SwStrCallStrSw+Call Str

2021

32.2

12.6

30.6

43.2

2019

31.4

12.9

32.6

45.5

2018

32.4

13.2

32.4

45.6

Note how the K% on the curve is well above that of any pitch examined so far. That said, while it follows the same pattern, the increase is proportionately smaller than found on the other pitches.

Slider

YearK%SwStrCallStrSw+Call Str

2021

32.1

16.5

29.7

46.2

2019

31.7

17.4

28.2

45.6

2018

32.2

17.1

28.9

46.0

The strikeout data for sliders has been consistent.

Change-up

YearK%SwStrCallStrSw+Call Str

2021

23.1

15.8

20.9

36.7

2019

21.4

15.9

20.2

36.1

2018

21.1

15.9

20.4

36.3

This is interesting, since off-speed stuff is also generating more punchouts. While it again falls into the bucket of more strikeouts everywhere, there is more to the story. Stay tuned.

Splitter

YearK%SwStrCallStrSw+Call Str

2021

42.3

15.8

20.9

36.7

2019

31.3

15.9

20.2

36.1

2018

32.6

15.9

20.4

36.3

Before getting too excited, please realize there are very few splitters used in today's game. As will be shown soon, just over 1% of all pitches are splitters.

Now let's group similar pitches together so we can hone in on a type of pitcher to consider for strikeouts.

Hard (Four-Seam, Two-Seam/Sinker)

YearK%SwStrCallStrSw+Call Str

2021

20.7

10.6

34.6

45.2

2019

19.1

9.6

33.9

43.5

2018

17.8

9.0

34.5

43.5

Breaking (Curve and Slider)

YearK%SwStrCallStrSw+Call Str

2021

32.1

15.1

30

45.1

2019

31.6

15.6

30.0

45.6

2018

32.3

15.6

30.4

46.0

 Soft (Changeup and Splitter)

YearK%SwStrCallStrSw+Call Str

2021

25.1

16.4

20.4

36.8

2019

22.5

16.2

19.8

36.0

2018

22.6

16.3

19.9

36.2

Your mileage may vary, but I find this intriguing. The biggest increase comes from soft stuff, followed by the heat. Intuitively, I presumed fastball pitchers would provide actionable targets, but maybe not.

Perhaps location reveals something about the jump in strikeouts.

Upper Third

YearK%SwStrCallStrSw+Call Str

2021

27.9%

12.7%

23.2%

35.9%

2019

26.2%

11.7%

22.7%

34.4%

2018

24.1%

11.1%

22.3%

33.4%

Middle Third

YearK%SwStrCallStrSw+Call Str

2021

15.5%

10.0%

59.3%

69.3%

2019

14.5%

9.2%

57.7%

66.9%

2018

15.1%

9.1%

57.6%

66.7%

 Lower Third

YearK%SwStrCallStrSw+Call Str

2021

30.4%

14.3%

24.9%

39.2%

2019

29.6%

14.1%

25.3%

39.4%

2018

29.9%

13.3%

25.5%

38.8%

Pitchers working up in the zone are benefiting a bit more, likely by feeding into the "swing hard in case I connect" mentality. It's hard to catch up to a pitch up in the zone, especially with an uppercut swing. To that end, here are the numbers on four-seam fastballs as well as two-seamers/sinkers up in the zone:

Four-Seam, Upper Third

Year

K%

SwStrCallStrSw+Call Str

2021

29.0%

15.3%

17.9%

35.9%

2019

28.9%

14.6%

16.8%

34.4%

2018

26.9%

13.9%

16.9%

33.4%

Two-Seam/Sinker, Upper Third

Year

K%

SwStrCallStrSw+Call Str

2021

23.5%

10.3%

24.9%

35.9%

2019

18.6%

7.1%

23.9%

34.4%

2018

16.6%

7.1%

24.1%

33.4%

This is fascinating to me as there is a big increase in strikeouts via sinkers high in the zone. Of course, not many throw a sinker up, as evidenced by this usage chart:

Year

4S

2S/SI

2021

59.3%

14.5%

2019

59.3%

14.5%

2018

55.4%

18.8%

At least so far, location of hard stuff is the same as 2019. Are pitchers throwing off-speed or breaking balls higher than in the past?

YearSoftBreaking

2021

21.7%

16.4%

2019

20.5%

15.2%

2018

20.6%

15.2%

Yeah, intentional or not, pitchers are working higher in the zone with non-fastballs, but is it effective?

Soft (Changeup and Splitter), Upper Third

Year

K%SwStrCallStrSw+Call Str

2021

11.7%

5.7%

21.7%

27.4%

2019

13.7%

5.7%

21.9%

27.6%

2018

18.6%

6.6%

22.9%

29.5%

Breaking Balls (Curve and Slider), Upper Third

Year

K%SwStrCallStrSw+Call Str

2021

34.2%

7.7%

34.5%

42.2%

2019

28.8%

7.0%

35.8%

42.8%

2018

26.4%

6.8%

33.7%

40.5%

Bingo, we uncovered another area where strikeouts are up: breaking balls high in the zone.

There is a big piece missing, hinted at previously, and that's usage. Here is how pitch distribution has been trending. Perhaps it is a chicken/egg thing, but pitchers are throwing more breaking balls in the upper third with greater success, at least in terms of strikeouts.

Year

4S

2S

CT

SL

CV

CH

SP

Fast

Soft

Break

2021

35.1%

15.8%

7.2%

18.6%

10.4%

11.5%

1.3%

50.9%

41.9%

29.1%

2019

36.2%

16.2%

6.5%

17.6%

11.1%

11.0%

1.4%

52.3%

41.2%

28.8%

2018

35.4%

19.5%

5.5%

16.9%

10.7%

10.4%

1.4%

54.9%

39.6%

27.8%

Again, this is counterintuitive. All the talk is about velocity, but fastball usage is declining. Meanwhile, both soft and breaking pitches are on the upswing.

Fantasy Repercussions

The key to maximizing this data for fantasy purposes is identifying pitchers with potential to outperform initial expectations. Granted, it appears the league-wide approach to swing for the fences permeates all offerings, but there are a few areas on which to focus. That said, there is a ton of data here and to be honest, I haven't digested everything yet. As such, here's the plan. I'll end with a quick summary, then spend some time this week thinking it through. Next week, I'll discuss some specific pitchers, or perhaps types of pitchers, to target the rest of the season. This way, the relevant hurlers will garner another start or two so their characteristics are a bit more trustworthy, and hence actionable.

Summary

  • Relievers still fan more hitters than starters, but starters are closing the gap
  • After a couple of years with declining home field advantage, strikeouts are back up at home
  • Velocity and spin rate of four-seam fastballs are up
  • The K% for breaking pitches hasn't increased much, but the use of the curve and slider is greater
  • Relatively speaking, strikeouts on off-speed stuff have increased more than on heat
  • Strikeouts are up in the lower, middle and upper third of the zone, with the largest increase in the upper third
  • Curiously, strikeouts on high two-seamers and hard sinkers have increased at a greater clip than high four-seamers
  • Despite their increased effectiveness, at least in terms of strikeouts, fewer sinking fastballs are being thrown up in the zone
  • More off-speed and breaking pitches are being thrown in the upper third with curves and sliders especially effective at inducing many more strikeouts

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ABOUT THE AUTHOR
Todd Zola
Todd has been writing about fantasy baseball since 1997. He won NL Tout Wars and Mixed LABR in 2016 as well as a multi-time league winner in the National Fantasy Baseball Championship. Todd is now setting his sights even higher: The Rotowire Staff League. Lord Zola, as he's known in the industry, won the 2013 FSWA Fantasy Baseball Article of the Year award and was named the 2017 FSWA Fantasy Baseball Writer of the Year. Todd is a five-time FSWA awards finalist.
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