Darren Ford

PosCF

B/TR/R

Born1985-10-01

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	28	AAACOL	355	.283/.343/.352	3	35	54	—	.230/.274/.279
2015	29	AAASF	425	.261/.334/.403	11	33	60	—	.210/.268/.312
2016	30	AAA/AA/INTL2 orgs	473	.242/.320/.302	2	23	48	—	.219/.270/.273

Contract

No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2005	19	ROK	Helena Brewers	—	277	236	64	4	3	1	33	70	3	18	4	271	368	326	694	55	377	25	12	318	40	—	—	—	—	—	—
2006	20	A	West Virginia Power	—	566	491	139	24	3	7	56	133	4	69	15	283	361	387	748	104	375	23	10	331	73	—	—	—	—	—	—
2007	21	A+	Brevard County Manatees	—	317	273	63	7	1	4	35	67	1	36	6	231	320	308	628	77	288	21	11	285	47	—	—	—	—	—	—
2007	21	A	West Virginia Power	—	254	224	75	15	4	5	23	56	1	31	10	335	399	504	904	170	427	22	9	390	101	—	—	—	—	—	—
2008	22	A+	San Jose Giants	—	556	471	107	17	4	2	69	130	4	62	12	227	331	293	624	66	307	23	12	287	41	—	—	—	—	—	—
2009	23	A+	San Jose Giants	—	441	380	114	17	9	9	49	97	6	35	12	300	389	463	852	163	379	22	11	375	89	—	—	—	—	—	—
2010	24	AA	Richmond Flying Squirrels	—	516	463	116	20	9	5	39	106	5	37	15	251	316	365	681	114	314	21	8	302	60	—	—	—	—	—	—
2010	24	INTL	Aguilas del Zulia	—	40	33	2	0	0	0	4	8	1	0	1	61	184	61	245		80	20	10	133	-24	—	—	—	—	—	—
2011	25	MLB	San Francisco Giants	—	16	14	4	0	0	0	1	5	1	7	5	286	375	286	661		444	31	6	316	102	+0	-1	+2	+1	+0	0.3
2011	25	AAA	Fresno Grizzlies	—	76	71	15	2	0	2	4	23	1	10	0	211	263	324	587	113	283	30	5	266	20	—	—	—	—	—	—
2011	25	AA	Richmond Flying Squirrels	—	97	86	24	3	0	0	9	24	0	6	3	279	347	314	661	35	387	25	9	300	55	—	—	—	—	—	—
2011	25	ROK	AZL Giants	—	32	24	9	0	1	2	6	4	1	2	1	375	516	708	1.224	333	368	12	19	504	144	—	—	—	—	—	—
2012	26	AAA	Tacoma Rainiers	—	329	304	83	16	3	4	23	61	1	26	14	273	326	385	711	112	331	19	7	319	69	—	—	—	—	—	—
2012	26	INTL	Leones del Caracas	—	171	154	41	8	1	1	13	31	3	11	3	266	335	351	686	84	328	18	8	312	97	—	—	—	—	—	—
2013	27	AAA	Indianapolis Indians	—	274	239	55	7	2	2	27	56	1	29	11	230	311	301	612	71	288	20	10	277	45	—	—	—	—	—	—
2014	28	AAA	Fresno Grizzlies	—	355	321	91	11	1	3	27	77	2	35	12	283	343	352	695	69	362	22	8	313	54	—	—	—	—	—	—
2015	29	AAA	Sacramento River Cats	—	425	380	99	13	4	11	39	78	3	33	16	261	334	403	737	142	301	18	9	329	60	—	—	—	—	—	—
2016	30	AAA	Sacramento River Cats	—	171	152	38	3	2	1	12	23	2	8	6	250	313	316	629	66	287	13	7	280	53	—	—	—	—	—	—
2016	30	AA	Richmond Flying Squirrels	—	258	223	53	8	2	0	30	56	0	13	4	238	328	291	620	54	314	22	12	284	40	—	—	—	—	—	—
2016	30	INTL	Cardenales de Lara	—	44	39	9	0	0	1	4	11	0	2	1	231	302	308	610	77	286	25	9	275	72	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	16	14	4	0	0	0	1	5	1	7	5	286	375	286	661		444	31	6	316	100	-0	-1	+2	+1	+0	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	ROK MLE	Helena Brewers	—	277	249	51	3	2	1	20	101	3	18	4	205	272	245	517	40	318	36	7	228	40	—	—	—	—	—	—
2006	20	A MLE	West Virginia Power	—	566	510	128	20	3	6	37	178	4	69	15	251	307	337	644	86	356	31	7	276	73	—	—	—	—	—	—
2007	21	A+ MLE	Brevard County Manatees	—	317	281	55	6	1	3	27	95	1	36	6	196	269	256	525	60	270	30	9	238	47	—	—	—	—	—	—
2007	21	A MLE	West Virginia Power	—	254	233	66	12	4	4	14	75	1	31	10	283	327	421	747	137	385	30	6	317	101	—	—	—	—	—	—
2008	22	A+ MLE	San Jose Giants	—	556	493	94	14	3	2	47	174	4	62	12	191	267	243	510	53	276	31	8	229	41	—	—	—	—	—	—
2009	23	A+ MLE	San Jose Giants	—	441	395	99	14	7	8	34	130	6	35	12	251	320	382	702	132	336	29	8	300	89	—	—	—	—	—	—
2010	24	AA MLE	Richmond Flying Squirrels	—	516	475	106	17	8	5	27	132	5	37	15	223	272	324	596	101	290	26	5	257	60	—	—	—	—	—	—
2011	25	MLB MLE	San Francisco Giants	—	16	14	4	0	0	0	1	5	1	7	5	286	375	286	661		444	31	6	319	102	+0	-1	+2	+1	+0	0.3
2011	25	AAA MLE	Fresno Grizzlies	—	76	72	11	1	0	1	3	29	1	10	0	153	197	208	406	56	251	38	4	198	20	—	—	—	—	—	—
2011	25	AA MLE	Richmond Flying Squirrels	—	97	89	22	3	0	0	6	30	0	6	3	247	295	281	576	34	358	31	6	249	55	—	—	—	—	—	—
2011	25	ROK MLE	AZL Giants	—	32	27	8	0	1	2	3	6	1	2	1	296	387	593	980	296	273	19	9	381	144	—	—	—	—	—	—
2012	26	AAA MLE	Tacoma Rainiers	—	329	312	76	14	3	3	15	76	1	26	14	244	280	337	617	93	312	23	5	270	69	—	—	—	—	—	—
2013	27	AAA MLE	Indianapolis Indians	—	274	248	51	6	2	2	18	74	1	29	11	206	262	270	532	65	269	27	7	234	45	—	—	—	—	—	—
2014	28	AAA MLE	Fresno Grizzlies	—	355	330	76	8	1	2	18	100	2	35	12	230	274	279	553	48	316	28	5	248	54	—	—	—	—	—	—
2015	29	AAA MLE	Sacramento River Cats	—	425	391	82	10	3	8	28	96	3	33	16	210	268	312	580	102	254	23	7	257	60	—	—	—	—	—	—
2016	30	AAA MLE	Sacramento River Cats	—	171	156	37	3	2	1	8	29	2	8	6	237	283	301	584	64	268	17	5	246	53	—	—	—	—	—	—
2016	30	AA MLE	Richmond Flying Squirrels	—	258	236	49	7	2	0	17	70	0	13	4	208	261	254	515	47	283	27	7	228	40	—	—	—	—	—	—
2005	19	ROK MLE	Helena Brewers	—	277	249	51	3	2	1	20	101	3	18	4	205	272	245	517	40	336	36	7	228	40	—	—	—	—	—	—
2005	19	ROK RAW	Helena Brewers	—	277	236	64	4	3	1	33	70	3	18	4	271	368	326	694	55	377	25	12	318	40	—	—	—	—	—	—
2006	20	A MLE	West Virginia Power	—	566	510	128	20	3	6	37	178	4	69	15	251	307	337	644	86	373	31	7	276	73	—	—	—	—	—	—
2006	20	A RAW	West Virginia Power	—	566	491	139	24	3	7	56	133	4	69	15	283	361	387	748	104	375	23	10	331	73	—	—	—	—	—	—
2007	21	A+ MLE	2 teams	—	571	514	121	19	4	7	41	170	2	67	16	235	294	329	623	93	334	30	7	273	71	—	—	—	—	—	—
2007	21	A+ RAW	2 teams	—	571	497	138	22	5	9	58	123	2	67	16	278	355	396	752	119	350	22	10	332	71	—	—	—	—	—	—
2008	22	A+ MLE	San Jose Giants	—	556	493	94	14	3	2	47	174	4	62	12	191	267	243	510	53	287	31	8	229	41	—	—	—	—	—	—
2008	22	A+ RAW	San Jose Giants	—	556	471	107	17	4	2	69	130	4	62	12	227	331	293	624	66	307	23	12	287	41	—	—	—	—	—	—
2009	23	A+ MLE	San Jose Giants	—	441	395	99	14	7	8	34	130	6	35	12	251	320	382	702	132	350	29	8	300	89	—	—	—	—	—	—
2009	23	A+ RAW	San Jose Giants	—	441	380	114	17	9	9	49	97	6	35	12	300	389	463	852	163	379	22	11	375	89	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	556	510	114	18	9	5	29	142	6	37	16	224	273	324	597	100	299	26	5	257	60	—	—	—	—	—	—
2010	24	AA RAW	2 teams	—	556	496	118	20	9	5	43	114	6	37	16	238	306	345	651	107	299	21	8	290	60	—	—	—	—	—	—
2011	25	AA MLE	4 teams	—	221	202	46	4	1	3	13	70	3	25	9	228	284	302	586	74	331	32	6	256	59	—	—	—	—	—	—
2011	25	AA RAW	4 teams	—	221	195	52	5	1	4	20	56	3	25	9	267	344	364	708	97	353	25	9	319	59	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	500	470	115	21	4	5	24	115	4	37	17	245	287	338	625	94	314	23	5	270	69	—	—	—	—	—	—
2012	26	AAA RAW	2 teams	—	500	458	124	24	4	5	36	92	4	37	17	271	329	373	703	103	330	18	7	316	69	—	—	—	—	—	—
2013	27	AAA MLE	Indianapolis Indians	—	274	248	51	6	2	2	18	74	1	29	11	206	262	270	532	65	280	27	7	234	45	—	—	—	—	—	—
2013	27	AAA RAW	Indianapolis Indians	—	274	239	55	7	2	2	27	56	1	29	11	230	311	301	612	71	288	20	10	277	45	—	—	—	—	—	—
2014	28	AAA MLE	Fresno Grizzlies	—	355	330	76	8	1	2	18	100	2	35	12	230	274	279	553	48	322	28	5	248	54	—	—	—	—	—	—
2014	28	AAA RAW	Fresno Grizzlies	—	355	321	91	11	1	3	27	77	2	35	12	283	343	352	695	69	362	22	8	313	54	—	—	—	—	—	—
2015	29	AAA MLE	Sacramento River Cats	—	425	391	82	10	3	8	28	96	3	33	16	210	268	312	580	102	257	23	7	257	60	—	—	—	—	—	—
2015	29	AAA RAW	Sacramento River Cats	—	425	380	99	13	4	11	39	78	3	33	16	261	334	403	737	142	301	18	9	329	60	—	—	—	—	—	—
2016	30	AA MLE	3 teams	—	473	433	94	10	4	1	27	109	2	23	11	217	266	266	532	48	284	23	6	235	45	—	—	—	—	—	—
2016	30	AA RAW	3 teams	—	473	414	100	11	4	2	46	90	2	23	11	242	320	302	622	60	301	19	10	282	45	—	—	—	—	—	—
2005	19	ROK MLE	Helena Brewers	—	277	252	51	3	2	1	20	101	3	18	4	202	272	242	514	40	318	36	7	228	40	—	—	—	—	—	—
2006	20	A MLE	West Virginia Power	—	566	520	128	20	3	6	37	178	4	69	15	246	307	331	637	85	356	31	7	276	73	—	—	—	—	—	—
2007	21	A+ MLE	2 teams	—	571	523	121	19	4	7	41	170	2	67	16	231	294	323	618	92	321	30	7	273	71	—	—	—	—	—	—
2008	22	A+ MLE	San Jose Giants	—	556	500	94	14	3	2	47	174	4	62	12	188	267	240	507	52	276	31	8	229	41	—	—	—	—	—	—
2009	23	A+ MLE	San Jose Giants	—	441	398	99	14	7	8	34	130	6	35	12	249	320	379	699	131	336	29	8	300	89	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	556	516	114	18	9	5	29	142	6	37	16	221	273	320	593	99	290	26	5	257	60	—	—	—	—	—	—
2011	25	AA MLE	4 teams	—	221	203	46	4	1	3	13	70	3	25	9	227	284	300	585	74	315	32	6	256	59	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	500	468	115	21	4	5	24	115	4	37	17	246	287	340	627	94	312	23	5	270	69	—	—	—	—	—	—
2013	27	AAA MLE	Indianapolis Indians	—	274	253	51	6	2	2	18	74	1	29	11	202	262	265	527	63	269	27	7	234	45	—	—	—	—	—	—
2014	28	AAA MLE	Fresno Grizzlies	—	355	332	76	8	1	2	18	100	2	35	12	229	274	277	551	48	316	28	5	248	54	—	—	—	—	—	—
2015	29	AAA MLE	Sacramento River Cats	—	425	391	82	10	3	8	28	96	3	33	16	210	268	312	580	102	254	23	7	257	60	—	—	—	—	—	—
2016	30	AA MLE	3 teams	—	473	441	94	10	4	1	27	109	2	23	11	213	266	261	527	48	277	23	6	235	45	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	16	14	4	0	0	0	1	5	1	7	5	286	375	286	661		444	31	6	316	60	-0	-1	+2	+1	+0	0.3
/ 162G	—	A+C		—	650	569	162	0	0	0	41	203	41	284	203	285	375	285	660		443	31	6	316	60	-0	-24	+78	+32	+14	10.2
Career	—	MLE		—	5215	4745	1071	147	43	50	336	1459	40	470	151	226	283	306	589	81	313	28	6	257	60	-0	-1	+2	+1	+0	0.3
/ 162G	—	MLE		—	650	591	133	18	5	6	42	182	5	59	19	225	282	303	585	78	313	28	6	257	60	-0	-24	+78	+32	+14	10.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2016 AARichmond Flying Squirrels · 258 PAwOBA .280 → .228 (−52)K% 21.7% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.71%	÷0.975	×1.220	—	—	27.16%
BB% (unintentional) /PA	11.63%	÷1.155	×0.700	—	×0.940	6.62%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	25.75%	÷0.994	×0.970	×1.004	×0.940	23.70%
Doubles /BIP	4.79%	÷0.975	×0.860	×1.004	×0.940	3.99%
Triples /BIP	1.20%	÷1.150	×0.950	×1.004	×0.940	0.93%
Home runs /BIP	0.00%	÷0.978	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 99, 2B 95, 3B 130, K 95, BB 131 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .280 → .228; ISO .054 → .045; BABIP .314 → .283. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAASacramento River Cats · 171 PAwOBA .275 → .246 (−29)K% 13.5% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.45%	÷1.034	×1.290	—	—	16.78%
BB% (unintentional) /PA	7.02%	÷1.052	×0.710	—	×0.962	4.56%
HBP% /PA	1.17%	—	×0.980	—	×0.962	1.10%
Singles /BIP	24.81%	÷0.960	×0.900	×1.050	×0.962	23.49%
Doubles /BIP	2.33%	÷0.973	×0.810	×1.050	×0.962	1.96%
Triples /BIP	1.55%	÷0.900	×0.810	×1.050	×0.962	1.41%
Home runs /BIP	0.78%	÷1.082	×0.780	—	×0.962	0.54%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .275 → .246; ISO .066 → .056; BABIP .287 → .268. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAASacramento River Cats · 425 PAwOBA .321 → .257 (−63)K% 18.4% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.35%	÷1.047	×1.290	—	—	22.61%
BB% (unintentional) /PA	9.18%	÷0.960	×0.710	—	×0.972	6.60%
HBP% /PA	0.71%	—	×0.980	—	×0.972	0.67%
Singles /BIP	23.51%	÷1.003	×0.900	×0.995	×0.972	20.40%
Doubles /BIP	4.30%	÷1.024	×0.810	×0.995	×0.972	3.29%
Triples /BIP	1.32%	÷0.925	×0.810	×0.995	×0.972	1.12%
Home runs /BIP	3.64%	÷0.982	×0.780	—	×0.972	2.81%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .321 → .257; ISO .142 → .110; BABIP .301 → .254. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 AAAFresno Grizzlies · 355 PAwOBA .306 → .248 (−58)K% 21.7% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.69%	÷0.994	×1.290	—	—	28.14%
BB% (unintentional) /PA	7.32%	÷1.005	×0.710	—	×0.982	5.08%
HBP% /PA	0.56%	—	×0.980	—	×0.982	0.54%
Singles /BIP	31.15%	÷1.002	×0.900	×1.007	×0.982	27.69%
Doubles /BIP	4.51%	÷1.014	×0.810	×1.007	×0.982	3.56%
Triples /BIP	0.41%	÷0.900	×0.810	×1.007	×0.982	0.36%
Home runs /BIP	1.23%	÷1.045	×0.780	—	×0.982	0.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 100, 2B 103, 3B 80, K 99, BB 101 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .306 → .248; ISO .069 → .051; BABIP .362 → .316. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 AAAIndianapolis Indians · 274 PAwOBA .273 → .234 (−39)K% 20.4% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.44%	÷0.909	×1.200	—	—	26.98%
BB% (unintentional) /PA	9.85%	÷1.012	×0.690	—	×0.992	6.67%
HBP% /PA	0.36%	—	×0.940	—	×0.992	0.34%
Singles /BIP	24.04%	÷0.978	×0.930	×1.004	×0.992	22.76%
Doubles /BIP	3.83%	÷0.954	×0.830	×1.004	×0.992	3.31%
Triples /BIP	1.09%	÷1.080	×0.970	×1.004	×0.992	0.98%
Home runs /BIP	1.09%	÷0.901	×0.840	—	×0.992	1.01%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 96, 2B 91, 3B 116, K 82, BB 102 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .273 → .234; ISO .071 → .063; BABIP .288 → .269. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 AAATacoma Rainiers · 329 PAwOBA .310 → .270 (−40)K% 18.5% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.54%	÷1.042	×1.290	—	—	22.95%
BB% (unintentional) /PA	6.99%	÷1.061	×0.710	—	×1.003	4.69%
HBP% /PA	0.30%	—	×0.980	—	×1.003	0.30%
Singles /BIP	24.69%	÷0.979	×0.900	×1.039	×1.003	23.66%
Doubles /BIP	6.58%	÷0.936	×0.810	×1.039	×1.003	5.94%
Triples /BIP	1.23%	÷0.900	×0.810	×1.039	×1.003	1.16%
Home runs /BIP	1.65%	÷0.963	×0.780	—	×1.003	1.34%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 87, 3B 80, K 108, BB 112 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .310 → .270; ISO .112 → .096; BABIP .331 → .312. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 AARichmond Flying Squirrels · 97 PAwOBA .293 → .249 (−44)K% 24.7% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.74%	÷0.974	×1.220	—	—	30.99%
BB% (unintentional) /PA	9.28%	÷1.081	×0.700	—	×0.988	5.94%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	33.87%	÷1.075	×0.970	×1.050	×0.988	31.72%
Doubles /BIP	4.84%	÷1.048	×0.860	×1.050	×0.988	4.12%
Triples /BIP	0.00%	÷1.140	×0.950	×1.050	×0.988	0.00%
Home runs /BIP	0.00%	÷1.081	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 116, 1B 115, 2B 110, 3B 128, K 95, BB 116 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .293 → .249; ISO .035 → .029; BABIP .387 → .358. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 AAAFresno Grizzlies · 76 PAwOBA .259 → .198 (−61)K% 30.3% → 38.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.26%	÷1.027	×1.290	—	—	38.03%
BB% (unintentional) /PA	5.26%	÷1.043	×0.710	—	×1.018	3.65%
HBP% /PA	1.32%	—	×0.980	—	×1.018	1.31%
Singles /BIP	22.92%	÷0.960	×0.900	×0.966	×1.018	21.11%
Doubles /BIP	4.17%	÷1.013	×0.810	×0.966	×1.018	3.28%
Triples /BIP	0.00%	÷1.150	×0.810	×0.966	×1.018	0.00%
Home runs /BIP	4.17%	÷1.112	×0.780	—	×1.018	2.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 122, 1B 92, 2B 103, 3B 130, K 105, BB 109 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .259 → .198; ISO .113 → .074; BABIP .283 → .251. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .