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Later-Round Category Targets - Batting Average

Of all of the fantasy sports, a baseball league using category scoring is the one most requiring manager strategy. You can draft a team full of players that overperform their draft cost but still not win your league if you don't fill up the categories correctly.

If I had to give one piece of advice to newer fantasy players out there, it would be to focus very closely on the categories your league uses and learn who in the player pool can contribute to those categories all throughout the draft.

In this series, we will take each category one at a time and highlight some great draft targets to help you out at all levels of the draft, beginning with batting average. You can also read other articles in this series for my breakdowns of other later-round category targets series.

Editor's Note: Our incredible team of writers received five total writing awards and 13 award nominations by the Fantasy Sports Writers Association, tops in the industry! Congrats to all the award winners and nominees including Best MLB Series, NFL Series, NBA Writer, PGA Writer and Player Notes writer of the year. Be sure to follow their analysis, rankings and advice all year long, and win big with RotoBaller! Read More!

 

Where Does Batting Average Come From?

The lazy way of projecting batting average would be to look at a player's batting average from the previous years and maybe also give their BABIP a look and adjust slightly from there. There are, of course, much better ways to go about this. One way is to find which more granular statistics are predictive of batting averages and then give those a good look.

I took a bunch of statistics and saw how they correlated with batting average. Here are the winners.

Contact Rate on Swings

You can't get a hit without putting the ball in play! You can see the trend above, as contact rate rises, typically so does batting average. Five players have contact rates on swings above 90% over the last two seasons:

Player Contact% AVG
Luis Arraez 93.0% .331
Nick Madrigal 92.0% .340
Willians Astudillo 91.6% .267
David Fletcher 91.3% .298
Eric Sogard 90.1% .272

You can see there in the case of Sogard that a 90%+ contact rate does not guarantee you a great batting average. There is more to the equation than this. But before we go there, here are some other names that have really high contact rates over the last two seasons.

Tommy La Stella (89.9%), Michael Brantley (89.7%), Nick Markakis (89.9%), Anthony Rendon (88.0%), Martin Prado (87.7%), Daniel Murphy (87.7%), Kevin Newman (87.0%), Mookie Betts (87.0%), Alex Bregman<97.0%), Wilmer Flores (86.8%), DJ LeMahieu (86.6%), Andrelton Simmon (86.6%), Jose Ramirez (86.3%), Hanser Alberto (86.3%), Yuli Gurriel (86.2%)

 

Line Drive Rate

Every batted ball is classified as one of four things based on the angle: a ground ball (less than 10 degrees), a line drive (between 10 and 25 degrees), a fly ball (between 25 and 50 degrees), and above 50 degrees (a pop-up). Taking each one of those categories at a time, here are the league batting averages on each:

BB Type AVG
Ground Ball .262
Line Drive .664
Fly Ball .275
Pop Up .013

So yeah, if you want to hit for a high batting average, you're going to want to hit a lot of line drives.

Contact rate on swings is most correlated with batting average as an individual statistic, but line drive rate comes in second. Here is that relationship visualized:

Here are the line drive rate leaders from the last two seasons:

Player LD% AVG
Donovan Solano 35.3% .328
Dylan Carlson 34.2% ..200
Salvador Perez 33.0% .333
Ben Gamel 31.7% .245
Giancarlo Stanton 30.6% .267
Victor Reyes 29.6% .293
Nate Lowe 29.4% .251
Neil Walker 29.2% .258
Whit Merrifield 29.2% .297
Luis Arraez 29.1% .331

 

Speed

The third item under the batting average hood is foot speed. This manifests in infield singles. The quicker you get to first, the higher chances you have to get a hit. The quickest way to look up baseball's fastest players is to check out the sprint speed leaderboard over at Baseball Savant.

For this analysis, I took it one step further and checked the batting average on groundballs (balls hit at an angle under 10 degrees) for every player. Here are those leaders:

Player AVG on GB
Adam Engel .384
Donovan Solano .381
Ryan Cordell .377
Yoan Moncada .375
Austin Romine .366
Adalberto Mondesi .365
Trevor Story .364
Trea Turner .363
Yolmer Sanchez .361
Yasiel Puig .356
Nolan Arenado .348
Harold Castro .348

There are three exceptions here with Solano, Romine, and Arenado not being fleet of foot, but the rest of those guys are real burners.

The relationship here isn't nearly as strong as our previous two categories, just because speed only comes into play on a small subsection of batted balls (ground balls that stay in the infield).

You can be the fastest guy in the world but if you aren't making high rates of contact and/or hitting all your balls directly up in the air, your speed isn't going to do you any good.

 

What About Exit Velocity?

It seems intuitive that how hard you hit the ball would have an effect on your batting average, but that does not actually turn out to be the case.

There is no correlation between these two categories. I think the reasons for that are these:

  1. The guys hitting the balls the hardest also tend to be slower
  2. Sometimes a hard hit ball can actually reduce your chances of a base hit (a line drive that makes it the whole way to an outfielder, a ground ball at a fielder that gets to them much quicker)

 

Put Them Together

We have three significant variables, and we can put them all into what is called a linear regression model to make predictions on what batting averages to expect. I did just this using Excel. Here are the top 20 highest predicted batting average players over the last two years along with their actual batting averages.

Player ADP Actual AVG Predicted AVG
Luis Arraez 357 .331 .308
Donovan Solano 479 .328 .304
David Fletcher 220 .298 .302
Whit Merrifield 40 .297 .294
Mike Trout 6 .294 .293
Eric Sogard 742 .272 .293
Myles Straw 494 .242 .292
Anthony Rendon 43 .311 .290
Nick Madrigal 192 .340 .290
Jorge Polanco 205 .286 .288
Ben Gamel NA .245 .288
Magneuris Sierra 681 .298 .288
Mookie Betts 3 .294 .287
Nick Markakis 738 .278 .286
Victor Reyes 190 .293 .286
Willians Astudillo 675 .267 .285
Dylan Carlson 140 .200 .283
D.J. LeMahieu 29 .336 .279
Ke'Bryan Hayes 136 .376 .279
Ozzie Albies 32 .292 .279

Lots of spots taken up by players that are obviously not worthy of being rostered in standard leagues, so if we filter this to only the top 300, these names enter the top 20 in predicted batting average: Alex Bregman, Tommy Edman, Salvador Perez, Michael Brantley, Jose Ramirez, Ketel Marte, Lorenzo Cain, Trent Grisham, Yuli Gurriel

 

Standouts

I try to finish posts with concrete advice. Here is some of that.

  • Myles Straw seems like an awesome late-round pick for batting average and steals
  • Luis Arraez is basically free, which isn't right for someone who could easily lead the league in a category your league is using
  • Nick Madrigal is sure to post a high batting average but is unlikely to do much of anything else given his lack of power and spot in the batting order (he hit ninth last year), but at least he's young enough to have some "unseen upside"
  • Anthony Rendon looks like a really nice value after pick 40. Even if he doesn't ever quite return to 2019 form,  you can feel good about getting a nice batting average and some RBI out of him.
  • Dylan Carlson and Ke'Bryan Hayes are young players I'd be willing to invest in given their line drive abilities



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