GIDP %

by rglass44 on Aug 21, 2008 11:56 AM EDT

Player	GIDP	1--	12-	123	0 out	1 out	2 out	<2 out %	GIDP opps	GIDP%
Shields	16	123	30	4	240	225	223	65.12%	102.2	15.65%
Jackson	22	133	34	6	221	197	192	63.77%	110.3	19.94%
Kazmir	2	104	17	6	166	156	161	65.63%	83.4	2.40%
Sonnanstine	12	99	34	5	235	208	201	63.51%	87.6	13.69%
Garza	19	122	45	12	235	197	192	62.34%	111.6	17.03%
Percy	0	26	3	2	52	60	45	66.88%	20.7	0.00%
Miller	4	29	9	7	56	46	40	60.56%	27.3	14.68%
Wheeler	2	36	9	9	67	77	69	68.54%	37.0	5.40%
Howell	6	51	17	14	97	100	94	66.67%	54.7	10.98%
Balfour	0	20	15	7	40	56	61	74.52%	31.3	0.00%
Hammel	6	47	22	7	104	98	86	63.89%	48.6	12.36%
Total	89	790	235	79	1513	1420	1364	64.79%	715.3	12.44%
Team	103	877	290	100	1660	1570	1520	65.05%	824.2	12.50%
League Avg.	3031	26745	10530	4005	50632	48776	47276	65.48%	27031.1	11.21%

Here is a chart showing the GIDP% from each of our pitchers and the staff as a whole for this year. I included the guys on the roster w/ more than 20 IP.

The formulas are as follows:

<2 outs %=(0 out + 1 out)/(0 out + 1 out + 2 out)

GIDP opps= (Man on first + Men on first and second+ bases loaded) X <2 out %

GIDP % = GIDPs/ GIDP opps.

That is pretty rudimentary because I couldn't find a stat for men on first, first and second, and bases loaded w/ less than 2 outs.

Now that I added the team vs. league average, it is clear that we are above average at turning the DP. Either are pitchers induce more GBs than average or are fielders are more adept at actually turning 2. I'll get on looking at how GB% effects the players later, and maybe I'll look at how are team fares this year compared to last.

This post was written by a member of the DRaysBay community and does not necessarily express the views or opinions of DRaysBay staff.

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Comments

good stuff

not a bad estimate of GIDP opportunities, although you’re right that having the actual number is better.

can you add something? how about GIDPs induced compared to average? simply do:
(pitcherGIDP% – leagueGIDP%)*opportunities

I think you could get leagueGIDP% from BPro or at least get a very good estimate from hitters who are right near 0 for normDP with a lot of chances. (simply DP/chances for them).
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mildly related note: defense-independent stats that include GB% (like xFIP and tRA) already build in an advantage for groundball pitchers. unless you believe some pitchers have an ability to induce extra groundballs when they need it (and maybe this is a very small effect), then you don’t need to additionally incorporate GIDP data when judging a pitcher. this is just a really good way to see how much it matters.

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here’s an idea for a study: compare GIDP% to groundballs across years. see if any pitchers have a GIDP skill that goes beyond GB%.

my blog // calling BJ Upton lazy is lazy // past results do not guarantee future performance

by Sky Kalkman on Aug 21, 2008 3:54 PM EDT reply actions

here’s an idea for a study: compare GIDP% to groundballs across years. see if any pitchers have a GIDP skill that goes beyond GB%.

Off-hand I’d assume you’d see a reverse-correlation to Ks.

by rglass44 on Aug 21, 2008 4:13 PM EDT up reply actions

Last night I fiddled around with it a bit and ran a regression

Then this morning I found stats on BP for DP opportunities. So my plan is to get 3 years of data for GIDP% and run regressions on K-rate, GB-rate, and Defensive Efficiency to see if there is some GIDP skill. I’ll make a fanpost about it in the next couple of days.

by rglass44 on Aug 22, 2008 11:28 AM EDT up reply actions