Brad Snyder

Pos1B

B/TL/L

Born1982-05-25

Age (2027)45

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
2014	32	AAATEX	260	.284/.354/.573	18	3	72	—	.199/.249/.386
2014	32	MLBTEX	34	.167/.265/.400	2	0	77	-0.6
2016	34	AAAVaqueros de l…	113	.309/.402/.536	6	1	96	—	.243/.304/.388
2017	35	AAAVaqueros Unio…	262	.268/.358/.500	12	0	78	—	.209/.273/.381
2018	36	No MLB games played
2019	37	No MLB games played
2020	38	No MLB games played
2021	39	No MLB games played
2022	40	No MLB games played
2023	41	No MLB games played
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR -0.6

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	23	AA	Akron Aeros	—	337	304	85	21	5	16	25	94	6	5	3	280	346	539	886	260	354	28	7	383	103	—	—	—	—	—	—
2005	23	A+	Kinston Indians	—	241	209	58	10	2	6	24	64	6	12	1	278	368	431	799	153	369	27	10	356	76	—	—	—	—	—	—
2006	24	AA	Akron Aeros	—	594	523	141	28	5	18	62	158	5	20	2	270	353	446	798	176	351	27	10	353	87	—	—	—	—	—	—
2007	25	AAA	Buffalo Bisons	—	303	259	68	12	3	10	36	91	2	12	0	263	357	448	805	185	362	30	12	352	85	—	—	—	—	—	—
2008	26	AAA	Buffalo Bisons	—	446	411	101	28	5	12	27	123	4	7	3	246	299	426	724	180	319	28	6	317	61	—	—	—	—	—	—
2009	27	AAA	Iowa Cubs	—	260	237	66	16	3	14	20	68	1	10	4	278	337	549	886	270	331	26	8	381	80	—	—	—	—	—	—
2009	27	ROK	AZL Cubs	—	19	18	5	1	1	1	1	7	0	0	0	278	316	611	927	333	400	37	5	394	28	—	—	—	—	—	—
2010	28	MLB	Chicago Cubs	—	28	27	5	1	0	0	1	12	0	0	0	185	214	222	437	37	333	43	4	200	20	-3	+0	+2	-7	+1	-0.7
2010	28	AAA	Iowa Cubs	—	543	477	147	37	6	25	56	125	4	19	4	308	385	568	954	260	366	23	10	410	106	—	—	—	—	—	—
2010	28	INTL	Tigres del Licey	—	66	60	16	2	0	1	3	13	1	1	1	267	312	350	662	83	312	20	5	292	83	—	—	—	—	—	—
2011	29	AAA	Iowa Cubs	—	407	376	109	27	3	11	27	109	0	6	1	290	337	465	803	176	380	27	7	351	59	—	—	—	—	—	—
2012	30	AAA	Oklahoma City RedHawks	—	408	362	110	23	3	20	40	108	3	16	10	304	378	550	928	246	380	26	10	402	88	—	—	—	—	—	—
2012	30	INTL	Estrellas de Oriente	—	52	45	13	3	0	5	5	15	1	0	0	289	373	689	1.061	400	308	29	10	442	186	—	—	—	—	—	—
2013	31	AAA	Reno Aces	—	458	411	128	29	5	12	40	118	1	7	11	311	374	494	868	182	406	26	9	378	80	—	—	—	—	—	—
2013	31	INTL	Aguilas de Mexicali	—	97	79	19	4	0	4	18	32	0	1	0	241	381	443	824	203	349	33	19	371	137	—	—	—	—	—	—
2014	32	MLB	Texas Rangers	—	34	30	5	1	0	2	4	10	0	0	0	167	265	400	665	233	167	29	12	295	77	-1	+0	-0	-5	+1	-0.6
2014	32	AAA	Round Rock Express	—	260	232	66	11	1	18	25	82	0	3	0	284	354	573	927	289	356	32	10	397	72	—	—	—	—	—	—
2016	34	AAA	Vaqueros de la Laguna	—	113	97	30	4	0	6	15	27	0	1	0	309	402	536	938	227	369	24	13	409	96	—	—	—	—	—	—
2017	35	AAA	Vaqueros Union Laguna	—	262	228	61	17	0	12	31	66	1	0	1	268	358	500	858	232	322	25	12	375	78	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	62	57	10	2	0	2	5	22	0	0	0	175	242	316	558	140	242	35	8	252	57	-3	+0	+2	-12	+1	-1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	AA MLE	Akron Aeros	—	337	314	77	18	5	12	15	115	6	5	3	245	293	449	742	204	342	34	4	320	103	—	—	—	—	—	—
2005	23	A+ MLE	Kinston Indians	—	241	219	50	8	2	5	14	91	6	12	1	228	293	352	644	123	351	38	6	280	76	—	—	—	—	—	—
2006	24	AA MLE	Akron Aeros	—	594	542	131	24	5	14	43	193	5	20	2	242	303	382	685	140	340	32	7	297	87	—	—	—	—	—	—
2007	25	AAA MLE	Buffalo Bisons	—	303	270	62	10	3	9	25	109	2	12	0	230	300	389	689	159	331	36	8	294	85	—	—	—	—	—	—
2008	26	AAA MLE	Buffalo Bisons	—	446	421	87	22	5	10	17	148	4	7	3	207	244	354	598	147	287	33	4	259	61	—	—	—	—	—	—
2009	27	AAA MLE	Iowa Cubs	—	260	245	52	12	2	10	12	88	1	10	4	212	252	400	652	188	282	34	5	287	80	—	—	—	—	—	—
2009	27	ROK MLE	AZL Cubs	—	19	18	4	1	1	1	1	10	0	0	0	222	263	556	819	333	282	53	5	210	28	—	—	—	—	—	—
2010	28	MLB MLE	Chicago Cubs	—	28	27	5	1	0	0	1	12	0	0	0	185	214	222	437	37	333	43	4	198	20	-3	+0	+2	-7	+1	-0.7
2010	28	AAA MLE	Iowa Cubs	—	543	499	124	29	5	22	34	159	4	19	4	248	302	459	761	210	309	29	6	325	106	—	—	—	—	—	—
2011	29	AAA MLE	Iowa Cubs	—	407	386	84	19	2	8	17	146	0	6	1	218	251	339	590	122	317	36	4	255	59	—	—	—	—	—	—
2012	30	AAA MLE	Oklahoma City RedHawks	—	408	378	88	18	2	14	24	137	3	16	10	233	284	402	686	169	318	34	6	299	88	—	—	—	—	—	—
2013	31	AAA MLE	Reno Aces	—	458	424	103	23	3	8	27	152	1	7	11	243	290	368	658	125	347	33	6	287	80	—	—	—	—	—	—
2014	32	MLB MLE	Texas Rangers	—	34	30	5	1	0	2	4	10	0	0	0	167	265	400	665	233	167	29	12	281	77	-1	+0	-0	-5	+1	-0.6
2014	32	AAA MLE	Round Rock Express	—	260	241	48	7	1	12	16	104	0	3	0	199	249	386	635	187	280	40	6	275	72	—	—	—	—	—	—
2016	34	AAA MLE	Vaqueros de la Laguna	—	113	103	25	3	0	4	9	33	0	1	0	243	304	388	692	146	311	29	8	310	96	—	—	—	—	—	—
2017	35	AAA MLE	Vaqueros Union Laguna	—	262	239	50	14	0	9	20	80	1	0	1	209	273	381	654	172	267	31	8	284	78	—	—	—	—	—	—
2005	23	AA MLE	2 teams	—	578	532	127	26	6	17	30	205	12	17	4	239	294	406	700	167	351	35	5	303	91	—	—	—	—	—	—
2005	23	AA RAW	2 teams	—	578	513	143	31	7	22	49	158	12	17	4	279	355	495	851	216	360	27	8	372	91	—	—	—	—	—	—
2006	24	AA MLE	Akron Aeros	—	594	542	131	24	5	14	43	193	5	20	2	242	303	382	685	140	346	32	7	297	87	—	—	—	—	—	—
2006	24	AA RAW	Akron Aeros	—	594	523	141	28	5	18	62	158	5	20	2	270	353	446	798	176	351	27	10	353	87	—	—	—	—	—	—
2007	25	AAA MLE	Buffalo Bisons	—	303	270	62	10	3	9	25	109	2	12	0	230	300	389	689	159	344	36	8	294	85	—	—	—	—	—	—
2007	25	AAA RAW	Buffalo Bisons	—	303	259	68	12	3	10	36	91	2	12	0	263	357	448	805	185	362	30	12	352	85	—	—	—	—	—	—
2008	26	AAA MLE	Buffalo Bisons	—	446	421	87	22	5	10	17	148	4	7	3	207	244	354	598	147	289	33	4	259	61	—	—	—	—	—	—
2008	26	AAA RAW	Buffalo Bisons	—	446	411	101	28	5	12	27	123	4	7	3	246	299	426	724	180	319	28	6	317	61	—	—	—	—	—	—
2009	27	AAA MLE	2 teams	—	279	263	56	13	3	11	13	98	1	10	4	213	253	411	663	198	288	35	5	282	77	—	—	—	—	—	—
2009	27	AAA RAW	2 teams	—	279	255	71	17	4	15	21	75	1	10	4	278	336	553	889	275	335	27	8	382	77	—	—	—	—	—	—
2010	28	AAA MLE	3 teams	—	637	585	143	34	5	24	39	190	5	20	5	244	297	443	740	198	314	30	6	319	102	—	—	—	—	—	—
2010	28	AAA RAW	3 teams	—	637	564	168	40	6	26	60	150	5	20	5	298	370	528	899	230	359	24	9	389	102	—	—	—	—	—	—
2011	29	AAA MLE	Iowa Cubs	—	407	386	84	19	2	8	17	146	0	6	1	218	251	339	590	122	325	36	4	255	59	—	—	—	—	—	—
2011	29	AAA RAW	Iowa Cubs	—	407	376	109	27	3	11	27	109	0	6	1	290	337	465	803	176	380	27	7	351	59	—	—	—	—	—	—
2012	30	AAA MLE	2 teams	—	460	425	99	20	2	16	27	155	4	16	10	233	285	402	687	169	322	34	6	299	88	—	—	—	—	—	—
2012	30	AAA RAW	2 teams	—	460	407	123	26	3	25	45	123	4	16	10	302	377	565	942	263	373	27	10	407	88	—	—	—	—	—	—
2013	31	AAA MLE	2 teams	—	555	515	124	27	4	9	33	184	1	8	11	241	288	361	649	120	352	33	6	287	80	—	—	—	—	—	—
2013	31	AAA RAW	2 teams	—	555	490	147	33	5	16	58	150	1	8	11	300	375	486	861	186	398	27	10	377	80	—	—	—	—	—	—
2014	32	AAA MLE	2 teams	—	294	271	53	8	1	14	20	114	0	3	0	196	251	387	638	192	267	39	7	276	73	—	—	—	—	—	—
2014	32	AAA RAW	2 teams	—	294	262	71	12	1	20	29	92	0	3	0	271	344	553	897	282	333	31	10	385	73	—	—	—	—	—	—
2016	34	AAA MLE	Vaqueros de la Laguna	—	113	103	25	3	0	4	9	33	0	1	0	243	304	388	692	146	313	29	8	310	96	—	—	—	—	—	—
2016	34	AAA RAW	Vaqueros de la Laguna	—	113	97	30	4	0	6	15	27	0	1	0	309	402	536	938	227	369	24	13	409	96	—	—	—	—	—	—
2017	35	AAA MLE	Vaqueros Union Laguna	—	262	239	50	14	0	9	20	80	1	0	1	209	273	381	654	172	270	31	8	284	78	—	—	—	—	—	—
2017	35	AAA RAW	Vaqueros Union Laguna	—	262	228	61	17	0	12	31	66	1	0	1	268	358	500	858	232	322	25	12	375	78	—	—	—	—	—	—
2005	23	AA MLE	2 teams	—	578	531	127	26	6	17	30	205	12	17	4	239	294	407	701	168	346	35	5	303	91	—	—	—	—	—	—
2006	24	AA MLE	Akron Aeros	—	594	541	131	24	5	14	43	193	5	20	2	242	303	383	686	140	340	32	7	297	87	—	—	—	—	—	—
2007	25	AAA MLE	Buffalo Bisons	—	303	273	62	10	3	9	25	109	2	12	0	227	300	385	684	158	331	36	8	294	85	—	—	—	—	—	—
2008	26	AAA MLE	Buffalo Bisons	—	446	422	87	22	5	10	17	148	4	7	3	206	244	353	597	147	287	33	4	259	61	—	—	—	—	—	—
2009	27	AAA MLE	2 teams	—	279	263	56	13	3	11	13	98	1	10	4	213	253	411	663	198	282	35	5	282	77	—	—	—	—	—	—
2010	28	AAA MLE	3 teams	—	637	588	143	34	5	24	39	190	5	20	5	243	297	440	738	197	310	30	6	319	102	—	—	—	—	—	—
2011	29	AAA MLE	Iowa Cubs	—	407	387	84	19	2	8	17	146	0	6	1	217	251	339	589	121	317	36	4	255	59	—	—	—	—	—	—
2012	30	AAA MLE	2 teams	—	460	426	99	20	2	16	27	155	4	16	10	232	285	401	686	169	318	34	6	299	88	—	—	—	—	—	—
2013	31	AAA MLE	2 teams	—	555	516	124	27	4	9	33	184	1	8	11	240	288	360	648	120	347	33	6	287	80	—	—	—	—	—	—
2014	32	AAA MLE	2 teams	—	294	272	53	8	1	14	20	114	0	3	0	195	251	386	637	191	267	39	7	276	73	—	—	—	—	—	—
2016	34	AAA MLE	Vaqueros de la Laguna	—	113	103	25	3	0	4	9	33	0	1	0	243	304	388	692	146	311	29	8	310	96	—	—	—	—	—	—
2017	35	AAA MLE	Vaqueros Union Laguna	—	262	239	50	14	0	9	20	80	1	0	1	209	273	381	654	172	267	31	8	284	78	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	62	57	10	2	0	2	5	22	0	0	0	175	242	316	558	140	242	35	8	252	82	-3	+0	+2	-12	+1	-1.3
/ 162G	—	A+C		—	650	598	105	21	0	21	52	231	0	0	0	176	242	316	558	140	243	36	8	252	82	-33	+0	+16	-127	+14	-13.2
Career	—	MLE		—	4928	4552	1041	220	36	145	293	1655	35	120	41	229	281	388	669	160	321	34	6	290	82	-3	+0	+2	-12	+1	-1.3
/ 162G	—	MLE		—	650	600	137	29	5	19	39	218	5	16	5	228	281	388	669	160	321	34	6	290	82	-33	+0	+16	-127	+14	-13.2

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.

2017 AAAVaqueros Union Laguna · 262 PAwOBA .366 → .284 (−82)K% 25.2% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.19%	÷0.993	×1.200	—	—	30.43%
BB% (unintentional) /PA	11.45%	÷0.991	×0.690	—	×0.940	7.50%
HBP% /PA	0.38%	—	×0.940	—	×0.940	0.34%
Singles /BIP	19.75%	÷1.039	×0.930	×1.018	×0.940	16.93%
Doubles /BIP	10.49%	÷0.972	×0.830	×1.018	×0.940	8.58%
Triples /BIP	0.00%	÷1.150	×0.920	×1.018	×0.940	0.00%
Home runs /BIP	7.41%	÷0.879	×0.700	—	×0.940	5.55%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 108, 2B 94, 3B 130, K 99, BB 98 — 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 ×1.018.

Result: wOBA .366 → .284; ISO .232 → .179; BABIP .322 → .267. 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 AAAVaqueros de la Laguna · 113 PAwOBA .399 → .310 (−89)K% 23.9% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.89%	÷0.986	×1.200	—	—	29.09%
BB% (unintentional) /PA	12.39%	÷1.051	×0.690	—	×0.940	7.65%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	28.57%	÷0.963	×0.930	×0.972	×0.940	25.23%
Doubles /BIP	5.71%	÷0.992	×0.830	×0.972	×0.940	4.37%
Triples /BIP	0.00%	÷1.046	×0.920	×0.972	×0.940	0.00%
Home runs /BIP	8.57%	÷0.929	×0.700	—	×0.940	6.07%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 93, 2B 98, 3B 109, K 97, BB 110 — 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 ×0.972.

Result: wOBA .399 → .310; ISO .227 → .166; BABIP .369 → .311. 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 AAARound Rock Express · 260 PAwOBA .390 → .275 (−115)K% 31.5% → 40.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.54%	÷1.015	×1.290	—	—	40.10%
BB% (unintentional) /PA	9.62%	÷1.033	×0.710	—	×0.952	6.29%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	24.00%	÷0.984	×0.900	×0.976	×0.952	20.40%
Doubles /BIP	7.33%	÷1.055	×0.810	×0.976	×0.952	5.23%
Triples /BIP	0.67%	÷0.953	×0.810	×0.976	×0.952	0.53%
Home runs /BIP	12.00%	÷1.027	×0.780	—	×0.952	8.68%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 97, 2B 111, 3B 91, K 103, BB 107 — 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 ×0.976.

Result: wOBA .390 → .275; ISO .289 → .194; BABIP .356 → .280. 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 AAAReno Aces · 458 PAwOBA .371 → .287 (−84)K% 25.8% → 33.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.76%	÷1.000	×1.290	—	—	33.24%
BB% (unintentional) /PA	8.30%	÷0.947	×0.710	—	×0.962	5.98%
HBP% /PA	0.22%	—	×0.980	—	×0.962	0.21%
Singles /BIP	27.99%	÷1.018	×0.900	×1.050	×0.962	24.99%
Doubles /BIP	9.90%	÷0.994	×0.810	×1.050	×0.962	8.15%
Triples /BIP	1.71%	÷1.150	×0.810	×1.050	×0.962	1.21%
Home runs /BIP	4.10%	÷1.121	×0.780	—	×0.962	2.74%

Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 99, 3B 130, K 100, BB 89 — 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 .371 → .287; ISO .182 → .127; BABIP .406 → .347. 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 AAAOklahoma City RedHawks · 408 PAwOBA .392 → .299 (−93)K% 26.5% → 33.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.47%	÷1.018	×1.290	—	—	33.55%
BB% (unintentional) /PA	9.07%	÷1.079	×0.710	—	×0.972	5.80%
HBP% /PA	0.74%	—	×0.980	—	×0.972	0.70%
Singles /BIP	25.20%	÷1.001	×0.900	×1.001	×0.972	22.03%
Doubles /BIP	9.06%	÷0.960	×0.810	×1.001	×0.972	7.43%
Triples /BIP	1.18%	÷1.101	×0.810	×1.001	×0.972	0.85%
Home runs /BIP	7.87%	÷1.033	×0.780	—	×0.972	5.78%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 100, 2B 92, 3B 120, K 104, BB 116 — 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 ×1.001.

Result: wOBA .392 → .299; ISO .246 → .179; BABIP .380 → .318. 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 AAAIowa Cubs · 407 PAwOBA .341 → .255 (−86)K% 26.8% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.78%	÷0.965	×1.290	—	—	35.79%
BB% (unintentional) /PA	6.14%	÷1.043	×0.710	—	×0.982	4.11%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	25.47%	÷0.980	×0.900	×0.975	×0.982	22.39%
Doubles /BIP	10.11%	÷1.017	×0.810	×0.975	×0.982	7.71%
Triples /BIP	1.12%	÷1.086	×0.810	×0.975	×0.982	0.80%
Home runs /BIP	4.12%	÷0.934	×0.780	—	×0.982	3.38%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 96, 2B 103, 3B 117, K 93, BB 109 — 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 ×0.975.

Result: wOBA .341 → .255; ISO .176 → .127; BABIP .380 → .317. 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).

2010 AAAIowa Cubs · 543 PAwOBA .402 → .325 (−77)K% 23.0% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.02%	÷1.017	×1.290	—	—	29.20%
BB% (unintentional) /PA	9.76%	÷1.086	×0.710	—	×0.992	6.33%
HBP% /PA	0.74%	—	×0.980	—	×0.992	0.72%
Singles /BIP	22.44%	÷1.019	×0.900	×1.000	×0.992	19.66%
Doubles /BIP	10.51%	÷1.001	×0.810	×1.000	×0.992	8.44%
Triples /BIP	1.70%	÷0.979	×0.810	×1.000	×0.992	1.40%
Home runs /BIP	7.10%	÷0.881	×0.780	—	×0.992	6.24%

Factors used: league row PCL. Park (home-season share, regressed): HR 76, 1B 104, 2B 100, 3B 96, K 103, BB 117 — 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 ×1.000.

Result: wOBA .402 → .325; ISO .260 → .217; BABIP .366 → .309. 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 AAAIowa Cubs · 260 PAwOBA .369 → .287 (−82)K% 26.2% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.15%	÷1.000	×1.290	—	—	33.74%
BB% (unintentional) /PA	6.54%	÷1.000	×0.710	—	×1.003	4.66%
HBP% /PA	0.38%	—	×0.980	—	×1.003	0.38%
Singles /BIP	19.53%	÷1.000	×0.900	×0.997	×1.003	17.57%
Doubles /BIP	9.47%	÷1.000	×0.810	×0.997	×1.003	7.67%
Triples /BIP	1.78%	÷1.000	×0.810	×0.997	×1.003	1.44%
Home runs /BIP	8.28%	÷1.000	×0.780	—	×1.003	6.48%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.997.

Result: wOBA .369 → .287; ISO .270 → .201; BABIP .331 → .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).

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