[net.sport.baseball] Comparing Pitchers

david@fisher.UUCP (David Rubin) (08/01/85)

At the end of this article is a list of the top pitchers in both
leagues in terms of Earned Runs PREVENTED.  What is ERP?  Allow me to
first answer: why ERP?

Traditional statistics for comparing pitchers' performances are
flawed.  Win-Loss records favors good pitchers on good teams over great
pitchers on lousy teams.  ERA, while a substantial improvement, does
not allow for the fact that a pitcher with a 1.80 ERA over 50 innings
is not as valuable as a pitcher with a 2.10 ERA over 250 innings.  ERP
solves both these problems.  As a good record is kept of which runs
can be attributed to pitching (earned) and which to fielding
(unearned), we can count the number of runs a pitcher allows, the
number of innings pitched, and ask how much better or worse than an
"average" pitcher in the same league did the pticher in question do.

Thus ERP: the number of earned runs a pitcher allows subtracted from
the number of earned runs an "average" pitcher would have yielded over
the same number of innings.  It can be calculated from readily available
statistics as follows:

		ERP = (League ERA - Pitcher's ERA)*IP/9

Some might argue that "earned" and "unearned" are too poorly
determined to have any use in determining a pitcher's performance;
however, if this were the case, we would expect little consistency in
ERA performance from year to year, which is not the case.  My critique
of ERP is that pitchers have different roles, and the run prevented by
a ninth-innning stopper is likely to have more value than the run
prevented by a starter or especially by a long reliever put on the
mound in a blow out.  Thus, I'd advise caution when comparing between
pitchers playing different roles, but am a strong advocate of ERP as a
standard of comparison among pitchers who have the same role.

Here, then, are the leaders as of 0000 July 31:

	National League				American League
	(Avg ERA = 3.43)			(Avg ERA = 4.07)

Pitcher, W-L	ERA	IP	ERP	Pitcher, W-L	ERA	IP	ERP

Gooden, 16-3	1.65	180	35.5	Stieb, 10-6	1.96	170	39.7
Vlnzuela, 12-8	2.14	176	25.2	Key, 9-4	2.69	141	21.6
Andujar, 17-4	2.31	176	22.0	Guidry, 13-3	2.88	162	21.4
Tudor, 12-8	2.23	161	21.5	Saberhgn, 12-5	2.85	149	20.2
Hesketh, 8-4	2.25	132	17.3	Morris, 12-6	3.04	175	20.0
Dravecky, 8-6	2.26	132	17.2	Seaver, 11-8	3.08	164	18.0
Hrshiser, 11-3	2.41	142	16.1	Hrnandez, 5-4	1.92	 75	17.9
Garrelts, 5-3	1.47	 73	16.0	Moore, 7-4	1.48	 61	17.6
Cox, 12-6	2.54	160	15.9	Romanick, 12-4	2.94	138	17.3
Burke, 5-0	1.51	 66	14.0	Witt, 8-7	3.16	165	16.6

Now you know who SHOULD expect to get Cy Youngs; Gooden and Stieb have 
led their leagues for some time now, and continue to pad their leads.
No one is likely to catch them.  Unfortunately, W-L records are given
undue weight.  Thus there appears to be a danger that the clearly 
superior pitcher in the AL will be passed over; the danger in the NL is
not as acute, as Gooden has the glamorous record and the strikeouts to aid
his campaign.  Write to your local sportswriter on behalf of Dave Stieb now!

					David Rubin
			{allegra|astrovax|princeton}!fisher!david

P.S.  It also says a lot about Dick Williams methods of choosing a 
starting pitcher for an All-Star game, but far be it from me to pick 
at that sore again...

P.P.S. ERP was first proposed by John Thorn and Pete Palmer in "The
Hidden Game of Baseball"; to this statistic they have converted me,
with the one reservation expressed above.  The New York Times
publishes slightly unusual statistics for the top 10 ERP pitchers in
each league every Thursday, from which the above list was distilled.