Freddy Guzman

PosCF

B/TS/R

Born1981-01-20

Age (2027)46

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	34	AAADelfines de C…	475	.269/.357/.333	2	47	55	—	.225/.280/.283
2016	35	AAAToros de Tiju…	84	.236/.337/.292	0	4	53	—	.221/.277/.273
2017	36	AAATigres de Qui…	198	.262/.379/.323	0	19	70	—	.244/.318/.301

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)
2004	23	MLB	San Diego Padres	—	80	76	16	3	0	0	3	13	1	5	2	211	250	250	500	39	254	16	4	231	42	-6	+0	+3	+0	+2	-0.0
2006	25	AAA	Oklahoma RedHawks	—	432	376	105	16	4	3	50	55	2	42	12	279	367	367	734	88	320	13	12	333	81	—	—	—	—	—	—
2007	26	AAA	Oklahoma RedHawks	—	610	535	144	22	8	4	62	88	6	56	14	269	352	363	714	93	312	14	10	322	72	—	—	—	—	—	—
2008	27	AAA	Toledo Mud Hens	—	441	397	107	16	9	3	35	42	2	56	6	270	332	378	710	108	292	10	8	315	80	—	—	—	—	—	—
2008	27	AA	Erie SeaWolves	—	142	121	34	2	6	2	16	14	1	15	5	281	370	446	816	165	296	10	11	352	105	—	—	—	—	—	—
2009	28	AAA	Scranton/Wilkes-Barre Yankees	—	381	350	78	9	5	2	25	54	0	45	9	223	275	294	569	71	256	14	7	255	36	—	—	—	—	—	—
2010	29	INTL	Leones del Escogido	—	108	89	20	3	0	1	16	19	1	10	6	225	349	292	641	67	275	18	15	299	89	—	—	—	—	—	—
2011	30	AAA	Petroleros de Minatitlan	—	211	183	55	9	4	4	22	30	0	15	5	301	376	459	835	158	338	14	10	361	81	—	—	—	—	—	—
2011	30	INTL	Dominican Republic	—	58	47	11	2	0	0	11	17	0	8	1	234	379	277	656	43	367	29	19	317	101	—	—	—	—	—	—
2012	31	AAA	Delfines de Ciudad del Carmen	—	294	253	73	11	7	3	35	39	0	56	6	289	375	423	798	134	330	13	12	351	83	—	—	—	—	—	—
2012	31	INTL	Leones del Escogido	—	26	21	1	0	0	0	3	5	0	7	0	48	167	48	214		62	19	12	115	-36	—	—	—	—	—	—
2013	32	AAA	Delfines de Ciudad del Carmen	—	450	399	130	23	2	9	43	76	4	73	9	326	397	461	858	135	382	17	10	381	106	—	—	—	—	—	—
2013	32	INTL	Leones del Escogido	—	51	46	9	3	2	0	5	10	0	7	4	196	275	348	622	152	250	20	10	278	74	—	—	—	—	—	—
2014	33	AAA	Delfines de Ciudad del Carmen	—	55	50	17	2	0	2	5	6	0	8	1	340	400	500	900	160	357	11	9	400	97	—	—	—	—	—	—
2014	33	INTL	Yaquis de Obregon	—	48	42	7	0	0	0	6	12	0	5	3	167	271	167	438		233	25	12	219	34	—	—	—	—	—	—
2015	34	AAA	Delfines de Ciudad del Carmen	—	475	412	111	14	3	2	55	83	1	47	16	269	357	333	689	63	330	17	12	314	55	—	—	—	—	—	—
2016	35	AAA	Toros de Tijuana	—	84	72	17	4	0	0	11	16	0	4	4	236	337	292	629	56	304	19	13	293	53	—	—	—	—	—	—
2017	36	AAA	Tigres de Quintana Roo	—	198	164	43	4	3	0	31	30	0	19	5	262	379	323	703	61	316	15	16	324	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	80	76	16	3	0	0	3	13	1	5	2	211	250	250	500	39	254	16	4	231	42	-6	+0	+3	+0	+2	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2004	23	MLB MLE	San Diego Padres	—	80	76	16	3	0	0	3	13	1	5	2	211	250	250	500	39	254	16	4	231	42	-6	+0	+3	+0	+2	-0.0
2006	25	AAA MLE	Oklahoma RedHawks	—	432	390	99	14	3	2	36	71	2	42	12	254	320	321	641	67	302	16	8	288	81	—	—	—	—	—	—
2007	26	AAA MLE	Oklahoma RedHawks	—	610	553	132	19	7	3	44	113	6	56	14	239	302	315	616	76	287	19	7	275	72	—	—	—	—	—	—
2008	27	AAA MLE	Toledo Mud Hens	—	441	408	105	14	9	3	24	50	2	56	6	257	302	358	660	100	280	11	5	287	80	—	—	—	—	—	—
2008	27	AA MLE	Erie SeaWolves	—	142	127	35	2	6	2	10	17	1	15	5	276	333	433	766	157	285	12	7	324	105	—	—	—	—	—	—
2009	28	AAA MLE	Scranton/Wilkes-Barre Yankees	—	381	358	74	8	5	2	17	65	0	45	9	207	243	274	516	67	237	17	4	222	36	—	—	—	—	—	—
2011	30	AAA MLE	Petroleros de Minatitlan	—	211	192	48	7	3	3	13	37	0	15	5	250	298	365	662	115	286	18	6	288	81	—	—	—	—	—	—
2012	31	AAA MLE	Delfines de Ciudad del Carmen	—	294	266	67	9	7	2	22	45	0	56	6	252	309	361	670	109	287	15	7	291	83	—	—	—	—	—	—
2013	32	AAA MLE	Delfines de Ciudad del Carmen	—	450	414	122	19	2	7	28	83	4	73	9	295	345	401	746	106	346	18	6	325	106	—	—	—	—	—	—
2014	33	AAA MLE	Delfines de Ciudad del Carmen	—	55	52	15	2	0	1	3	7	0	8	1	288	327	385	712	96	308	13	5	311	97	—	—	—	—	—	—
2015	34	AAA MLE	Delfines de Ciudad del Carmen	—	475	435	98	13	3	2	32	95	1	47	16	225	280	283	563	57	276	20	7	249	55	—	—	—	—	—	—
2016	35	AAA MLE	Toros de Tijuana	—	84	77	17	4	0	0	6	18	0	4	4	221	277	273	550	52	282	21	7	246	53	—	—	—	—	—	—
2017	36	AAA MLE	Tigres de Quintana Roo	—	198	176	43	4	3	0	19	36	0	19	5	244	318	301	619	57	291	18	10	272	70	—	—	—	—	—	—
2004	23	MLB MLE	San Diego Padres	—	80	76	16	3	0	0	3	13	1	5	2	211	250	250	500	39	254	16	4	231	42	-6	+0	+3	+0	+2	-0.0
2004	23	MLB RAW	San Diego Padres	—	80	76	16	3	0	0	3	13	1	5	2	211	250	250	500	39	254	16	4	231	42	-6	+0	+3	+0	+2	-0.0
2006	25	AAA MLE	Oklahoma RedHawks	—	432	390	99	14	3	2	36	71	2	42	12	254	320	321	641	67	305	16	8	288	81	—	—	—	—	—	—
2006	25	AAA RAW	Oklahoma RedHawks	—	432	376	105	16	4	3	50	55	2	42	12	279	367	367	734	88	320	13	12	333	81	—	—	—	—	—	—
2007	26	AAA MLE	Oklahoma RedHawks	—	610	553	132	19	7	3	44	113	6	56	14	239	302	315	616	76	291	19	7	275	72	—	—	—	—	—	—
2007	26	AAA RAW	Oklahoma RedHawks	—	610	535	144	22	8	4	62	88	6	56	14	269	352	363	714	93	312	14	10	322	72	—	—	—	—	—	—
2008	27	AAA MLE	2 teams	—	583	535	139	16	15	4	34	67	3	71	11	260	308	368	676	108	287	11	6	296	86	—	—	—	—	—	—
2008	27	AAA RAW	2 teams	—	583	518	141	18	15	5	51	56	3	71	11	272	341	394	735	122	293	10	9	324	86	—	—	—	—	—	—
2009	28	AAA MLE	Scranton/Wilkes-Barre Yankees	—	381	358	74	8	5	2	17	65	0	45	9	207	243	274	516	67	245	17	4	222	36	—	—	—	—	—	—
2009	28	AAA RAW	Scranton/Wilkes-Barre Yankees	—	381	350	78	9	5	2	25	54	0	45	9	223	275	294	569	71	256	14	7	255	36	—	—	—	—	—	—
2010	29	INTL MLE	Leones del Escogido	—	108	89	20	3	0	1	16	19	1	10	6	225	349	292	641	67	275	18	15	—	—	—	—	—	—	—	—
2010	29	INTL RAW	Leones del Escogido	—	108	89	20	3	0	1	16	19	1	10	6	225	349	292	641	67	275	18	15	299	89	—	—	—	—	—	—
2011	30	AAA MLE	2 teams	—	269	246	62	9	4	4	17	47	0	23	6	252	300	370	670	118	294	17	6	288	81	—	—	—	—	—	—
2011	30	AAA RAW	2 teams	—	269	230	66	11	4	4	33	47	0	23	6	287	376	422	798	135	343	17	12	351	81	—	—	—	—	—	—
2012	31	AAA MLE	2 teams	—	320	288	74	10	7	3	24	49	0	63	6	257	314	372	686	115	300	15	8	291	83	—	—	—	—	—	—
2012	31	AAA RAW	2 teams	—	320	274	74	11	7	3	38	44	0	63	6	270	359	394	753	124	311	14	12	332	83	—	—	—	—	—	—
2013	32	AAA MLE	2 teams	—	501	462	135	22	2	7	31	92	4	80	13	292	342	394	736	102	350	18	6	325	106	—	—	—	—	—	—
2013	32	AAA RAW	2 teams	—	501	445	139	26	4	9	48	86	4	80	13	312	384	449	834	137	368	17	10	370	106	—	—	—	—	—	—
2014	33	AAA MLE	2 teams	—	103	97	27	3	0	2	6	13	0	13	4	278	320	371	692	93	305	13	6	311	97	—	—	—	—	—	—
2014	33	AAA RAW	2 teams	—	103	92	24	2	0	2	11	18	0	13	4	261	340	348	688	87	306	17	11	316	97	—	—	—	—	—	—
2015	34	AAA MLE	Delfines de Ciudad del Carmen	—	475	435	98	13	3	2	32	95	1	47	16	225	280	283	563	57	282	20	7	249	55	—	—	—	—	—	—
2015	34	AAA RAW	Delfines de Ciudad del Carmen	—	475	412	111	14	3	2	55	83	1	47	16	269	357	333	689	63	330	17	12	314	55	—	—	—	—	—	—
2016	35	AAA MLE	Toros de Tijuana	—	84	77	17	4	0	0	6	18	0	4	4	221	277	273	550	52	288	21	7	246	53	—	—	—	—	—	—
2016	35	AAA RAW	Toros de Tijuana	—	84	72	17	4	0	0	11	16	0	4	4	236	337	292	629	56	304	19	13	293	53	—	—	—	—	—	—
2017	36	AAA MLE	Tigres de Quintana Roo	—	198	176	43	4	3	0	19	36	0	19	5	244	318	301	619	57	303	18	10	272	70	—	—	—	—	—	—
2017	36	AAA RAW	Tigres de Quintana Roo	—	198	164	43	4	3	0	31	30	0	19	5	262	379	323	703	61	316	15	16	324	70	—	—	—	—	—	—
2004	23	MLB MLE	San Diego Padres	—	80	76	16	3	0	0	3	13	1	5	2	211	250	250	500	39	254	16	4	231	42	—	—	—	—	—	—
2006	25	AAA MLE	Oklahoma RedHawks	—	432	391	99	14	3	2	36	71	2	42	12	253	320	320	640	66	302	16	8	288	81	—	—	—	—	—	—
2007	26	AAA MLE	Oklahoma RedHawks	—	610	555	132	19	7	3	44	113	6	56	14	238	302	314	615	76	287	19	7	275	72	—	—	—	—	—	—
2008	27	AAA MLE	2 teams	—	583	541	139	16	15	4	34	67	3	71	11	257	308	364	672	107	281	11	6	296	86	—	—	—	—	—	—
2009	28	AAA MLE	Scranton/Wilkes-Barre Yankees	—	381	361	74	8	5	2	17	65	0	45	9	205	243	271	514	66	237	17	4	222	36	—	—	—	—	—	—
2011	30	AAA MLE	2 teams	—	269	250	62	9	4	4	17	47	0	23	6	248	300	364	664	116	286	17	6	288	81	—	—	—	—	—	—
2012	31	AAA MLE	2 teams	—	320	293	74	10	7	3	24	49	0	63	6	253	314	365	679	113	287	15	8	291	83	—	—	—	—	—	—
2013	32	AAA MLE	2 teams	—	501	461	135	22	2	7	31	92	4	80	13	293	342	395	737	102	346	18	6	325	106	—	—	—	—	—	—
2014	33	AAA MLE	2 teams	—	103	96	27	3	0	2	6	13	0	13	4	281	320	375	695	94	308	13	6	311	97	—	—	—	—	—	—
2015	34	AAA MLE	Delfines de Ciudad del Carmen	—	475	439	98	13	3	2	32	95	1	47	16	223	280	280	560	57	276	20	7	249	55	—	—	—	—	—	—
2016	35	AAA MLE	Toros de Tijuana	—	84	78	17	4	0	0	6	18	0	4	4	218	277	269	546	51	282	21	7	246	53	—	—	—	—	—	—
2017	36	AAA MLE	Tigres de Quintana Roo	—	198	177	43	4	3	0	19	36	0	19	5	243	318	299	617	56	291	18	10	272	70	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	80	76	16	3	0	0	3	13	1	5	2	211	250	250	500	39	254	16	4	231	70	-6	+0	+3	+0	+2	-0.0
/ 162G	—	A+C		—	650	618	130	24	0	0	24	106	8	41	16	210	249	249	498	39	254	16	4	231	70	-45	+2	+23	+2	+14	-0.3
Career	—	MLE		—	4144	3782	936	128	49	30	285	698	18	478	108	247	303	331	634	84	294	17	7	272	70	-6	+0	+3	+0	+2	-0.0
/ 162G	—	MLE		—	650	593	147	20	8	5	45	109	3	75	17	248	304	334	638	86	294	17	7	272	70	-45	+2	+23	+2	+14	-0.3

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.

2017 AAATigres de Quintana Roo · 198 PAwOBA .320 → .272 (−48)K% 15.2% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.15%	÷0.990	×1.200	—	—	18.36%
BB% (unintentional) /PA	15.66%	÷1.047	×0.690	—	×0.940	9.70%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	26.87%	÷0.975	×0.930	×1.046	×0.940	25.20%
Doubles /BIP	2.99%	÷0.960	×0.830	×1.046	×0.940	2.54%
Triples /BIP	2.24%	÷1.150	×0.920	×1.046	×0.940	1.76%
Home runs /BIP	0.00%	÷0.898	×0.700	—	×0.940	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 95, 2B 92, 3B 130, K 98, BB 109 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .320 → .272; ISO .061 → .053; BABIP .316 → .291. 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 AAAToros de Tijuana · 84 PAwOBA .276 → .246 (−30)K% 19.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷1.062	×1.200	—	—	21.53%
BB% (unintentional) /PA	10.71%	÷1.055	×0.690	—	×0.940	6.59%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	23.21%	÷0.967	×0.930	×1.043	×0.940	21.89%
Doubles /BIP	7.14%	÷0.926	×0.830	×1.043	×0.940	6.28%
Triples /BIP	0.00%	÷0.941	×0.920	×1.043	×0.940	0.00%
Home runs /BIP	0.00%	÷1.278	×0.700	—	×0.940	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 93, 2B 85, 3B 88, K 112, BB 111 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .276 → .246; ISO .056 → .053; BABIP .304 → .282. 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 AAADelfines de Ciudad del Carmen · 475 PAwOBA .308 → .249 (−59)K% 17.5% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.47%	÷1.049	×1.200	—	—	19.99%
BB% (unintentional) /PA	11.37%	÷1.102	×0.690	—	×0.940	6.69%
HBP% /PA	0.21%	—	×0.940	—	×0.940	0.19%
Singles /BIP	27.96%	÷1.095	×0.930	×1.037	×0.940	23.15%
Doubles /BIP	4.26%	÷0.934	×0.830	×1.037	×0.940	3.69%
Triples /BIP	0.91%	÷0.907	×0.920	×1.037	×0.940	0.90%
Home runs /BIP	0.61%	÷0.867	×0.700	—	×0.940	0.46%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 119, 2B 87, 3B 81, K 110, BB 120 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .308 → .249; ISO .063 → .058; BABIP .330 → .276. 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 AAADelfines de Ciudad del Carmen · 55 PAwOBA .389 → .311 (−78)K% 10.9% → 12.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.91%	÷1.036	×1.200	—	—	12.63%
BB% (unintentional) /PA	9.09%	÷1.021	×0.690	—	×0.942	5.79%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	29.55%	÷0.978	×0.930	—	×0.942	26.46%
Doubles /BIP	4.55%	÷1.015	×0.830	—	×0.942	3.50%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.942	0.00%
Home runs /BIP	4.55%	÷1.079	×0.700	—	×0.942	2.78%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 96, 2B 103, 3B 130, K 107, BB 104 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .389 → .311; ISO .160 → .106; BABIP .357 → .308. 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 AAADelfines de Ciudad del Carmen · 450 PAwOBA .372 → .325 (−47)K% 16.9% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.89%	÷1.102	×1.200	—	—	18.38%
BB% (unintentional) /PA	9.11%	÷0.969	×0.690	—	×0.952	6.18%
HBP% /PA	0.89%	—	×0.940	—	×0.952	0.80%
Singles /BIP	29.72%	÷0.967	×0.930	×1.025	×0.952	27.90%
Doubles /BIP	7.12%	÷0.995	×0.830	×1.025	×0.952	5.80%
Triples /BIP	0.62%	÷0.950	×0.920	×1.025	×0.952	0.58%
Home runs /BIP	2.79%	÷0.949	×0.700	—	×0.952	1.96%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 93, 2B 99, 3B 90, K 120, BB 94 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .372 → .325; ISO .135 → .108; BABIP .382 → .346. 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 AAADelfines de Ciudad del Carmen · 294 PAwOBA .342 → .291 (−51)K% 13.3% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.27%	÷1.040	×1.200	—	—	15.31%
BB% (unintentional) /PA	11.56%	÷1.015	×0.690	—	×0.962	7.56%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	24.30%	÷1.017	×0.930	×1.016	×0.962	21.70%
Doubles /BIP	5.14%	÷1.073	×0.830	×1.016	×0.962	3.89%
Triples /BIP	3.27%	÷1.000	×0.920	×1.016	×0.962	2.94%
Home runs /BIP	1.40%	÷0.889	×0.700	—	×0.962	1.06%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 103, 2B 114, 3B 100, K 108, BB 103 — 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 ×1.016.

Result: wOBA .342 → .291; ISO .134 → .116; BABIP .330 → .287. 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 AAAPetroleros de Minatitlan · 211 PAwOBA .355 → .288 (−67)K% 14.2% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.22%	÷0.980	×1.200	—	—	17.40%
BB% (unintentional) /PA	10.43%	÷1.107	×0.690	—	×0.972	6.32%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	24.84%	÷1.059	×0.930	×1.029	×0.972	21.80%
Doubles /BIP	5.88%	÷1.085	×0.830	×1.029	×0.972	4.50%
Triples /BIP	2.61%	÷1.150	×0.920	×1.029	×0.972	2.09%
Home runs /BIP	2.61%	÷0.988	×0.700	—	×0.972	1.80%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 112, 2B 117, 3B 130, K 96, BB 121 — 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 ×1.029.

Result: wOBA .355 → .288; ISO .158 → .124; BABIP .338 → .286. 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).

2009 AAAScranton/Wilkes-Barre Yankees · 381 PAwOBA .251 → .222 (−29)K% 14.2% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.17%	÷1.000	×1.200	—	—	17.01%
BB% (unintentional) /PA	6.56%	÷1.000	×0.690	—	×0.992	4.49%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.95%	÷1.000	×0.930	×1.015	×0.992	19.61%
Doubles /BIP	3.04%	÷1.000	×0.830	×1.015	×0.992	2.54%
Triples /BIP	1.69%	÷1.000	×0.970	×1.015	×0.992	1.65%
Home runs /BIP	0.68%	÷1.000	×0.840	—	×0.992	0.56%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.015.

Result: wOBA .251 → .222; ISO .071 → .064; BABIP .256 → .237. 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 — .