How would Adam Dunn's stats look if he was playing for the Sox?

I saw on Fangraphs’ Adrian Gonzales article that “B-R has a feature that allows us to adjust a hitter’s offensive production for run environment (runs/game), league (AL or NL), and park,” and I thought why not use the same tool on Adam Dunn? Here are the results (each year is adjusted to that year’s run environment as in the Fangraphs article):

Year	Age	G	PA	AB	R	H	2B	3B	HR	RBI	SB	BB	SO	HBP	SF	BA	OBP	SLG	OPS	RC	Gact
2001	21	66	291	247	55	67	18	1	19	44	4	40	74	4	0	.271	.381	.583	.964	55	66
2002	22	158	708	551	89	149	31	2	29	75	21	144	170	10	3	.270	.428	.492	.920	114	158
2003	23	116	499	396	80	97	14	1	32	65	10	87	126	12	4	.245	.393	.528	.921	79	116
2004	24	161	712	586	118	169	38	0	52	114	7	121	195	5	0	.288	.414	.619	1.033	148	161
2005	25	160	705	560	117	151	39	2	45	111	4	129	168	14	2	.270	.417	.588	1.005	134	160
2006	26	160	703	572	103	142	26	0	43	96	8	121	194	7	3	.248	.384	.519	.903	113	160
2007	27	152	646	530	106	146	28	2	42	110	10	107	165	5	4	.275	.399	.574	.973	122	152
2008	28	158	676	529	84	134	25	0	44	107	2	134	164	8	5	.253	.408	.550	.958	118	158
2009	29	159	700	564	91	164	33	0	43	118	0	130	177	4	2	.291	.426	.578	1.004	137	159
2010	30	158	666	570	92	157	38	2	42	113	0	83	199	9	4	.275	.374	.570	.944	119	158

Here are Adam Dunn’s actual stats:

Year	Age	Tm	Lg	G	PA	AB	R	H	2B	3B	HR	RBI	SB	CS	BB	SO	BA	OBP	SLG	OPS	OPS+	RC
2001	21	CIN	NL	66	286	244	54	64	18	1	19	43	4	2	38	74	.262	.371	.578	.948	136	54
2002	22	CIN	NL	158	676	535	84	133	28	2	26	71	19	9	128	170	.249	.400	.454	.854	121	107
2003	23	CIN	NL	116	469	381	70	82	12	1	27	57	8	2	74	126	.215	.354	.465	.819	116	69
2004	24	CIN	NL	161	681	568	105	151	34	0	46	102	6	1	108	195	.266	.388	.569	.956	146	132
2005	25	CIN	NL	160	671	543	107	134	35	2	40	101	4	2	114	168	.247	.387	.540	.927	140	122
2006	26	CIN	NL	160	683	561	99	131	24	0	40	92	7	0	112	194	.234	.365	.490	.855	114	109
2007	27	CIN	NL	152	632	522	101	138	27	2	40	106	9	2	101	165	.264	.386	.554	.940	136	117
2008	28	TOT	NL	158	651	517	79	122	23	0	40	100	2	1	122	164	.236	.386	.513	.898	130	111
2008	28	CIN	NL	114	464	373	58	87	14	0	32	74	1	1	80	120	.233	.373	.528	.901	132	80
2008	28	ARI	NL	44	187	144	21	35	9	0	8	26	1	0	42	44	.243	.417	.472	.889	126	31
2009	29	WSN	NL	159	668	546	81	146	29	0	38	105	0	1	116	177	.267	.398	.529	.928	144	122
2010	30	WSN	NL	158	648	558	85	145	36	2	38	103	0	1	77	199	.260	.356	.536	.892	138	109
10 Seasons				1448	6065	4975	865	1246	266	10	354	880	59	21	990	1632	.250	.381	.521	.902	133	1052
162 Game Avg.				162	679	557	97	139	30	1	40	98	7	2	111	183	.250	.381	.521	.902	133	118

And here is a more detailed explanation of how the ‘neutralized batting’ tool works:

What is adjusted?

We adjust all of a player’s seasons from the park and league context of the seasons they played in into either a “neutral” setting (which is 100 park factor with 162-game season, 90% of runs earned, and 715 runs/team), or into a setting selected by the user with a particular year, league (with its runs/game and earned runs percentage) and home team (with its park factor). Originally, this was set at 750 as Bill James had done in his New Historical Baseball Abstract, but this is well over the historical average which is about 715 runs/162 games since 1900. So we’ve adjusted this downward to reflect this lower average run scoring. With the old number most every offensive player improved, while with the new number, half get better and half get worse. We’ve still provided a link to 750 if you like that better.

There is no change of role for a player, so playing time is essentially the same proportion as before, though things like At Bats go up as run scoring increases. This also means that Pedro Martinez will only make 30 starts a season even if you put him in the 1914 AL.

How are batters adjusted?

For each player/season, we have their stats (Including Runs Created–note that for neutralization the basic RC, without baserunning, GIDP, etc., is used as the player’s baseline offensive level. This means that when you translate a player back into a context they actually played the RC numbers listed will be different from those listed under Special Batting for recent players.), and then the number of games their team played, their team’s park factor, the league runs/game and if the DH was used that year. We handle trades in the proportional manner you would expect.

For the new setting we have the park factor, the number of games expected, and the run-scoring level. Games are adjusted proportionally and this creates a multiplier.

Runs created are adjusted using the ratio of park factors, ratio of run scoring, and a ratio determined by whether we are coming or going to a DH league.

As part of this conversion, we assume that a player will get singles, doubles, triples, home runs, walks, HBP, and SB in the same proportion to overall hits as before, so given our adjusted RC, we can then find a new level of hits for the player. (This requires using the quadratic formula, and you thought you’d never need it.)

The player’s outs remain the same, so the new AB’s is the new Hits plus the old outs.

We then compute new 2B, 3B, HR, BB, SB, and HBP.

We assume Runs and RBI are proportional to the change in RC, and since outs doesn’t change neither will SO or SF.

And that is pretty much it for hitters.

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