The Hardball Times Fantasy

Those fickle pitchers!

by Jeffrey Gross
November 12, 2010

We all know ERA is largely bunk as a stat (well, maybe not really...), but what is the best metric for measuring a pitcher's true talent and baseline? Is it FIP? xFIP? What about tERA? Or SIERRA (which I think stands for "unnecessarily convoluted statistic which has no greater predictive power")?

Each has their virtues and limitations. FIP, for example, measures a pitcher's three most controllable stats: strikeouts, walks and home runs, attempting to find the context neutral talent line. FIP, of course, ignores the batted ball rates of pitchers, which affects the home run data.

xFIP tries to deal with that problem by adjusting the home run rate, which studies show to be a regression function of flyballs, to a regressed home run rate (11.5 percent). xFIP, however, ignores clearly relevant elements such as park factors and others, primarily infield flyball rates (well, at least the traditional formulation of xFIP as it appears on Fangraphs does). tERA tries to deal with this by looking at a pitcher's batted ball distribution to predict ERA, but that's hardly context neutral and batted ball distributions require larger sample sizes to offer reliability.

Advantages and limitations abound among the most popular metrics. A good fantasy baseball nerd player always looks skeptically at all of the numbers. While each is theoretically scaled to reflect ERA (and hence be more accessible/powerful), it is important to note that FIP tends to have the lowest mean, xFIP a higher mean and tERA the highest mean.

Irrespective of this scaling differential, however, I have compiled a list of variations among the big three peripheral ERA stats (FIP, xFIP, tERA) for all qualified starting pitchers in 2010 (P_Variance) to give us a look at who the various peripheral stats agree on the most. This, in theory, gives us a list of the "safest" pitchers to forecast; that is, an indexed list of those most likely to perform as expected by any given ERA predictor.

This spreadsheet is intended to help you make better decisions on how to allocate your auction budget on draft day in 2011. For reference, there's also a variance column (T_Variance) which compares the big three peripheral ERA stats to actual ERA.

You can download the UPDATED pre-sorted spreadsheet by clicking here.

First, a sample of the most desirable guys who seemingly fall within the "you know what you are getting" category (sorted by P_Variance):
     Name         Team     ERA   FIP   xFIP  tERA  P_Var     T_Var
Ted Lilly      - - -       3.62  4.27  4.16  4.21  0.003033  0.090033
Shaun Marcum   Blue Jays   3.64  3.74  3.90  3.77  0.007233  0.011492
Rick Porcello  Tigers      4.81  4.29  4.34  4.43  0.005033  0.055492
J. Masterson   Indians     4.70  3.93  3.98  3.81  0.007633  0.162433
Trevor Cahill  Athletics   2.97  4.19  4.11  4.01  0.008133  0.326533
Roy Oswalt     - - -       2.76  3.27  3.45  3.34  0.008233  0.093500
Jon Lester     Red Sox     3.25  3.13  3.29  3.30  0.009100  0.006092
Ryan Dempster  Cubs        3.96  3.96  3.83  4.04  0.011233  0.007558
C. Carpenter   Cardinals   3.22  3.69  3.84  3.62  0.012633  0.070092
Phil Hughes    Yankees     4.18  4.24  4.32  4.09  0.013633  0.009425
Ricky Romero   Blue Jays   3.77  3.65  3.73  3.88  0.013633  0.009158
Scott Baker    Twins       4.49  4.02  4.10  4.25  0.013633  0.042700
Max Scherzer   Tigers      3.50  3.71  3.84  3.95  0.014433  0.037400
Carl Pavano    Twins       3.81  4.00  3.97  4.20  0.015633  0.025633
Tim Hudson     Braves      2.79  4.03  3.84  3.79  0.016033  0.311358
W. Rodriguez   Astros      3.60  3.50  3.68  3.77  0.018900  0.013225
Cole Hamels    Phillies    3.15  3.67  3.46  3.72  0.019033  0.067133
R.A. Dickey    Mets        2.84  3.65  3.88  3.63  0.019300  0.206467
A. Wainwright  Cardinals   2.42  2.86  3.14  2.93  0.021233  0.091625
Dan Haren      - - -       3.91  3.71  3.67  3.96  0.024700  0.020692
Tim Lincecum   Giants      3.43  3.15  3.21  3.46  0.027033  0.024158


The best buy values of this list seem to be Justin Masterson and Scott Baker. The underlying numbers on these two pitchers seem to agree that both are in for much better and quite useful (4.00 ERA or better) fantasy baseball seasons following terrible ERAs in 2010. I doubt either will cost you much in 2011.

In terms of stable values, Shaun Marcum and Jon Lester seem to take the cake. Their ERAs seem to most match their underlying numbers. They will not come cheap, but they will likely not disappoint either.

Guys to avoid (omitted above, see data file) on this list of "you know what you are getting" include Bronson Arroyo, Matt Garza and Wade Davis. They seem the most likely to regress of the bunch.

And then we have a sample of the wild cards:
     Name         Team     ERA   FIP   xFIP  tERA  P_Var     T_Var
Jason Vargas   Mariners    3.78  3.95  4.82  3.57  0.410633  0.301533
Anibal Sanchez Marlins     3.48  3.38  4.22  3.38  0.235200  0.164900
Mark Buehrle   White Sox   4.28  3.90  4.69  3.88  0.213433  0.146092
Tommy Hanson   Braves      3.33  3.31  4.04  3.21  0.205300  0.145892
Jason Hammel   Rockies     4.76  3.67  3.80  4.45  0.174633  0.271133
Mat Latos      Padres      2.92  3.00  3.36  2.53  0.173233  0.115958
J. Verlander   Tigers      3.38  2.95  3.71  3.08  0.165233  0.114600
L. Hernandez   Nationals   3.66  3.95  4.76  4.37  0.164100  0.231900
Johan Santana  Mets        2.98  3.54  4.32  3.76  0.161733  0.307333
C. Billingsley Dodgers     3.57  3.07  3.81  3.21  0.154533  0.113700
C.Kershaw      Dodgers     2.82  3.07  3.74  3.05  0.154233  0.157267
David Price    Rays        2.72  3.42  3.99  3.27  0.144300  0.272600
Matt Cain      Giants      3.15  3.62  4.18  3.46  0.142933  0.186292
Dallas Braden  Athletics   3.50  3.80  4.41  3.74  0.137433  0.150025
Jered Weaver   Angels      3.01  3.06  3.51  2.79  0.132300  0.091225
Doug Fister    Mariners    4.11  3.65  4.27  3.65  0.128133  0.101467
Cliff Lee      - - -       3.18  2.58  3.23  2.65  0.127300  0.117267
James Shields  Rays        5.18  4.24  3.72  4.40  0.126400  0.365167
Fausto Carmona Indians     3.77  4.11  4.39  3.70  0.120433  0.102292
Gio Gonzalez   Athletics   3.23  3.78  4.18  3.51  0.113633  0.163767
C.J. Wilson    Rangers     3.33  3.53  4.16  3.78  0.100633  0.127933
Mike Pelfrey   Mets        3.66  3.82  4.46  4.20  0.103600  0.131567
Y. Gallardo    Brewers     3.84  3.02  3.42  3.69  0.113633  0.129425
Clay Buchholz  Red Sox     2.60  3.65  4.18  3.94  0.070433  0.484758
Derek Lowe     Braves      4.00  3.89  3.65  4.20  0.076033  0.052567


The best upside gambles of this list seem to be Tommy Hanson (is he a 3.21 tERA guy or a 4.04 xFIP guy?), Mat Latos (his "downside" is seemingly a solid 3.36 xFIP, but he has only one year in the majors) and David Price (is he a low 3's or low 4's ERA guy?). Kershaw also seems to have a "pure upside" arm if he's truly improved his control.

On the other hand, there are some questionable risks: Anibal Sanchez (is he the 3.38 tERA guy or the 4.22 xFIP guy?), Jason Hammel (the 4.45 tERA guy or the 3.80 xFIP guy?) and Johan Santana, who is already coming off injury. Clay Buchholz's underlying peripherals have changed so much year-to-year that it's hard to peg his true talent too.

And then there are some guys who are just not worth the risk (at least not in my eyes): Fausto Carmona, Doug Fister, C.J. Wilson and Jason Vargas.

As always, leave the love/hate in the comments.

Jeffrey Gross is an attorney (and die-hard Cubs fan) who currently resides in Green Bay, Wisconsin. In addition to writing for The Hardball Times, he also reviews tasty adult beverages as part of a side project titled "saBEERmetrics." He previously worked for The Daily Illini and Northern Star newspapers as a film critic and sportswriter (respectively). You can reach him by email at saBEERmetrics AT gmail DOT com.

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