2012 and 2013 MLB Player Production with Runs Created

In my previous blog I looked at the impact that various team batting statistics have on the ability of a team to score runs.  Now what I want to do is to determine how individual players produce runs using the regression results from the team runs created model.  Since it looks like I did not do this for the 2012 MLB season, I will report the top 10 players for both the 2012 and 2013 seasons using this runs created methodology.  (If you are interested, I have blogged previously on how to calculate MLB Player Production using MLB Team Runs Created).

Taking the data from Sean Lahman's database, here are the top 10 batters for 2012:
 

	playerID	yearID	teamID	Runs Scored
1	cabremi01	2012	DET	111.51
2	braunry02	2012	MIL	110.95
3	troutmi01	2012	LAA	109.20
4	mccutan01	2012	PIT	104.01
5	fieldpr01	2012	DET	102.52
6	encared01	2012	TOR	98.66
7	beltrad01	2012	TEX	98.31
8	canoro01	2012	NYA	97.68
9	poseybu01	2012	SFN	96.04
10	headlch01	2012	SDN	95.94

Again, taking the data from the same source, here are the top 10 batters for 2013:

	playerID	yearID	teamID	Runs Scored
1	troutmi01	2013	LAA	122.32
2	cabremi01	2013	DET	118.15
3	davisch02	2013	BAL	111.98
4	vottojo01	2013	CIN	105.13
5	goldspa01	2013	ARI	103.18
6	choosh01	2013	CIN	100.50
7	carpema01	2013	SLN	98.38
8	mccutan01	2013	PIT	96.15
9	donaljo02	2013	OAK	91.85
10	canoro01	2013	NYA	91.51

As you can tell Cabrera, Troutman and McCutchen both show up in the top 10 in each year.  So the next blog will look at how consistent are MLB players with 100 AB's since 2000.