Tuesday, May 6, 2014

BABIP and xBABIP (cont)

After I posted that, I got to wondering how players batting averages would change if they were exactly meeting their xBABIP. Rather than go back and edit the original post, here it is. The first four data columns are from the google doc spreadsheet reference in the last post. The next is each batter's current batting average. The last one, which I labeled xAVG, is what they would be hitting based on xBABIP.


name

hard_hit_perc_14

BABIP

Spd

xBABIP

AVG

xAVG

Jason Castro

33.96%

0.280

3.1

0.303

0.212

0.227

Jesus Guzman

32.26%

0.306

0.1

0.277

0.217

0.209

Jose Altuve

34.02%

0.292

6

0.322

0.280

0.303

Jonathan Villar

27.27%

0.321

7.3

0.305

0.258

0.246

Matt Dominguez

23.88%

0.256

1.8

0.257

0.226

0.227

Robbie Grossman

38.71%

0.138

5.6

0.336

0.125

0.245

Dexter Fowler

28.57%

0.292

6.8

0.306

0.239

0.249

George Springer

15.63%

0.278

1.8

0.227

0.191

0.144

Chris Carter

44.44%

0.217

0.9

0.327

0.167

0.229

Alex Presley

28.00%

0.269

3

0.280

0.238

0.262

Marc Krauss

31.43%

0.152

1.2

0.281

0.154

0.208

L.J. Hoes

31.03%

0.167

0.1

0.273

0.136

0.209

Carlos Corporan

22.22%

0.115

1.6

0.250

0.167

0.283

Marwin Gonzalez

47.37%

0.278

1.6

0.342

0.290

0.297