Corban Joseph

Pos1B

B/TL/R

Born1988-10-28

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	29	AABowie Baysox	523	.312/.385/.497	17	8	99	—	.267/.321/.403
2018	29	MLBBAL	19	.222/.263/.278	0	0	53	-1.1
2019	30	AAAOAK	425	.371/.426/.585	13	0	109	—	.284/.329/.437
2019	30	MLBPIT	68	.156/.194/.250	1	0	20	-0.7
2021	32	AAA/AAWSH	124	.282/.358/.409	2	0	77	—	.246/.302/.351
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR -1.8

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)
2008	19	ROK	GCL Yankees	—	183	159	44	15	2	2	20	24	1	2	5	277	361	434	795	157	313	13	11	350	58	—	—	—	—	—	—
2009	20	A	Charleston RiverDogs	—	436	380	114	17	8	4	49	61	3	8	5	300	384	418	803	118	345	14	11	359	93	—	—	—	—	—	—
2010	21	AA	Trenton Thunder	—	130	111	24	6	4	0	15	33	0	1	0	216	310	342	652	126	300	25	12	287	65	—	—	—	—	—	—
2010	21	A+	Tampa Yankees	—	437	381	115	27	3	6	43	74	7	5	8	302	383	436	819	134	356	17	10	363	97	—	—	—	—	—	—
2011	22	AA	Trenton Thunder	—	564	499	138	38	8	5	59	104	1	4	3	277	354	415	769	138	339	18	10	342	88	—	—	—	—	—	—
2011	22	INTL	Phoenix Desert Dogs	—	108	97	22	8	0	2	9	17	0	1	3	227	292	371	664	144	250	16	8	292	84	—	—	—	—	—	—
2012	23	AAA	Scranton/Wilkes-Barre Yankees	—	386	327	87	25	2	13	53	57	0	0	1	266	368	474	842	208	285	15	14	368	96	—	—	—	—	—	—
2012	23	AA	Trenton Thunder	—	102	86	27	4	0	2	15	13	0	0	0	314	416	430	846	116	347	13	15	380	107	—	—	—	—	—	—
2013	24	AAA	Scranton/Wilkes-Barre RailRiders	—	213	188	45	9	0	6	21	39	4	2	0	239	329	383	712	144	273	18	10	323	68	—	—	—	—	—	—
2014	25	AAA	Scranton/Wilkes-Barre RailRiders	—	256	235	63	12	2	4	19	31	0	0	1	268	323	387	710	119	292	12	7	316	68	—	—	—	—	—	—
2015	26	AA	Bowie Baysox	—	399	369	102	18	1	6	23	36	2	3	6	276	322	379	702	103	293	9	6	312	62	—	—	—	—	—	—
2016	27	AAA	Norfolk Tides	—	313	285	87	14	1	7	26	32	0	4	0	305	363	435	798	130	324	10	8	355	91	—	—	—	—	—	—
2016	27	AA	Bowie Baysox	—	95	86	30	5	1	1	6	9	1	1	1	349	398	465	863	116	377	9	6	377	115	—	—	—	—	—	—
2017	28	AAA	Syracuse Chiefs	—	117	108	25	7	0	0	8	15	0	1	1	231	284	296	581	65	266	13	7	264	32	—	—	—	—	—	—
2017	28	AA	Harrisburg Senators	—	226	201	60	10	0	7	19	23	1	0	4	299	362	453	815	154	305	10	8	355	94	—	—	—	—	—	—
2018	29	MLB	Baltimore Orioles	—	19	18	4	1	0	0	1	5	0	0	0	222	263	278	541	56	308	26	5	247	53	-1	+0	-1	-10	+0	-1.1
2018	29	AA	Bowie Baysox	—	523	459	143	30	2	17	52	43	3	8	2	312	385	497	882	185	311	8	10	384	99	—	—	—	—	—	—
2019	30	MLB	Pittsburgh Pirates	—	68	64	10	3	0	1	3	12	0	0	0	156	194	250	444	94	173	18	4	198	20	-6	+0	-3	+2	+1	-0.7
2019	30	AAA	Las Vegas Aviators	—	425	383	142	35	4	13	33	46	4	0	0	371	426	585	1.011	214	392	11	8	437	109	—	—	—	—	—	—
2021	32	AAA	Rochester Red Wings	—	24	21	9	3	1	1	2	3	0	0	0	429	478	810	1.288	381	444	12	8	523	178	—	—	—	—	—	—
2021	32	AA	Harrisburg Senators	—	100	89	22	3	0	1	11	10	0	0	0	247	330	315	645	67	269	10	11	299	53	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	87	82	14	4	0	1	4	17	0	0	0	171	209	256	465	85	200	20	5	209	27	-8	+0	-4	-8	+2	-1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	19	ROK MLE	GCL Yankees	—	183	167	35	11	1	2	12	35	1	2	5	210	267	323	590	114	246	19	7	254	58	—	—	—	—	—	—
2009	20	A MLE	Charleston RiverDogs	—	436	397	106	14	8	3	32	82	3	8	5	267	326	365	692	98	320	19	7	305	93	—	—	—	—	—	—
2010	21	AA MLE	Trenton Thunder	—	130	116	25	6	4	0	10	39	0	1	0	216	278	336	614	121	300	30	8	264	65	—	—	—	—	—	—
2010	21	A+ MLE	Tampa Yankees	—	437	398	104	27	2	5	26	105	7	5	8	261	318	377	695	116	334	24	6	311	97	—	—	—	—	—	—
2011	22	AA MLE	Trenton Thunder	—	564	517	133	33	7	5	41	131	1	4	3	257	313	377	690	120	329	23	7	299	88	—	—	—	—	—	—
2012	23	AAA MLE	Scranton/Wilkes-Barre Yankees	—	386	343	80	20	2	13	37	69	0	0	1	233	308	417	725	184	247	18	10	310	96	—	—	—	—	—	—
2012	23	AA MLE	Trenton Thunder	—	102	90	25	3	0	2	11	16	0	0	0	278	356	378	734	100	319	16	11	327	107	—	—	—	—	—	—
2013	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	213	195	40	7	0	5	14	46	4	2	0	205	272	318	590	113	246	22	7	268	68	—	—	—	—	—	—
2014	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	256	241	57	10	2	3	13	38	0	0	1	237	276	332	608	95	266	15	5	269	68	—	—	—	—	—	—
2015	26	AA MLE	Bowie Baysox	—	399	376	92	15	1	4	16	44	2	3	6	245	279	322	601	77	264	11	4	260	62	—	—	—	—	—	—
2016	27	AAA MLE	Norfolk Tides	—	313	296	79	11	1	8	15	39	0	4	0	267	302	392	694	125	284	12	5	303	91	—	—	—	—	—	—
2016	27	AA MLE	Bowie Baysox	—	95	88	29	4	1	1	4	11	1	1	1	330	366	432	797	102	355	12	4	338	115	—	—	—	—	—	—
2017	28	AAA MLE	Syracuse Chiefs	—	117	111	22	5	0	0	5	18	0	1	1	198	233	243	476	45	232	15	4	215	32	—	—	—	—	—	—
2017	28	AA MLE	Harrisburg Senators	—	226	207	57	9	0	6	13	27	1	0	4	275	321	406	727	130	277	12	6	307	94	—	—	—	—	—	—
2018	29	MLB MLE	Baltimore Orioles	—	19	18	4	1	0	0	1	5	0	0	0	222	263	278	541	56	308	26	5	247	53	-1	+0	-1	-10	+0	-1.1
2018	29	AA MLE	Bowie Baysox	—	523	476	127	25	2	12	35	54	3	8	2	267	321	403	724	137	271	10	7	314	99	—	—	—	—	—	—
2019	30	MLB MLE	Pittsburgh Pirates	—	68	64	10	3	0	1	3	12	0	0	0	156	194	250	444	94	173	18	4	198	20	-6	+0	-3	+2	+1	-0.7
2019	30	AAA MLE	Las Vegas Aviators	—	425	394	112	27	3	9	22	60	4	0	0	284	329	437	765	152	308	14	5	330	109	—	—	—	—	—	—
2021	32	AAA MLE	Rochester Red Wings	—	24	22	8	2	1	1	1	4	0	0	0	364	391	682	1.073	318	362	17	4	432	178	—	—	—	—	—	—
2021	32	AA MLE	Harrisburg Senators	—	100	92	20	2	0	1	8	12	0	0	0	217	280	272	552	54	245	12	8	246	53	—	—	—	—	—	—
2008	19	ROK MLE	GCL Yankees	—	183	167	35	11	1	2	12	35	1	2	5	210	267	323	590	114	252	19	7	254	58	—	—	—	—	—	—
2008	19	ROK RAW	GCL Yankees	—	183	159	44	15	2	2	20	24	1	2	5	277	361	434	795	157	313	13	11	350	58	—	—	—	—	—	—
2009	20	A MLE	Charleston RiverDogs	—	436	397	106	14	8	3	32	82	3	8	5	267	326	365	692	98	326	19	7	305	93	—	—	—	—	—	—
2009	20	A RAW	Charleston RiverDogs	—	436	380	114	17	8	4	49	61	3	8	5	300	384	418	803	118	345	14	11	359	93	—	—	—	—	—	—
2010	21	A+ MLE	2 teams	—	567	514	129	33	6	5	36	144	7	6	8	251	309	368	677	117	333	25	6	300	89	—	—	—	—	—	—
2010	21	A+ RAW	2 teams	—	567	492	139	33	7	6	58	107	7	6	8	283	366	415	781	132	345	19	10	346	89	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	672	616	158	39	8	6	48	157	1	5	6	256	311	375	686	119	333	23	7	299	88	—	—	—	—	—	—
2011	22	AA RAW	2 teams	—	672	596	160	46	8	7	68	121	1	5	6	268	344	408	752	139	324	18	10	334	88	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	488	433	104	23	2	14	48	85	0	0	1	240	316	400	716	159	266	17	10	314	98	—	—	—	—	—	—
2012	23	AAA RAW	2 teams	—	488	413	114	29	2	15	68	70	0	0	1	276	378	465	843	189	298	14	14	370	98	—	—	—	—	—	—
2013	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	213	195	40	7	0	5	14	46	4	2	0	205	272	318	590	113	243	22	7	268	68	—	—	—	—	—	—
2013	24	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	213	188	45	9	0	6	21	39	4	2	0	239	329	383	712	144	273	18	10	323	68	—	—	—	—	—	—
2014	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	256	241	57	10	2	3	13	38	0	0	1	237	276	332	608	95	267	15	5	269	68	—	—	—	—	—	—
2014	25	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	256	235	63	12	2	4	19	31	0	0	1	268	323	387	710	119	292	12	7	316	68	—	—	—	—	—	—
2015	26	AA MLE	Bowie Baysox	—	399	376	92	15	1	4	16	44	2	3	6	245	279	322	601	77	267	11	4	260	62	—	—	—	—	—	—
2015	26	AA RAW	Bowie Baysox	—	399	369	102	18	1	6	23	36	2	3	6	276	322	379	702	103	293	9	6	312	62	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	408	384	108	16	2	8	19	50	1	5	1	281	317	396	713	115	305	12	5	311	97	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	408	371	117	19	2	8	32	41	1	5	1	315	371	442	813	127	336	10	8	360	97	—	—	—	—	—	—
2017	28	AA MLE	2 teams	—	343	318	78	14	0	6	18	45	1	1	5	245	288	346	634	101	266	13	5	276	73	—	—	—	—	—	—
2017	28	AA RAW	2 teams	—	343	309	85	17	0	7	27	38	1	1	5	275	335	398	733	123	291	11	8	324	73	—	—	—	—	—	—
2018	29	AA MLE	2 teams	—	542	494	131	26	2	12	36	59	3	8	2	265	319	399	718	134	277	11	7	312	97	—	—	—	—	—	—
2018	29	AA RAW	2 teams	—	542	477	147	31	2	17	53	48	3	8	2	308	381	488	869	180	311	9	10	379	97	—	—	—	—	—	—
2019	30	AAA MLE	2 teams	—	493	458	122	30	3	10	25	72	4	0	0	266	310	410	721	144	293	15	5	312	97	—	—	—	—	—	—
2019	30	AAA RAW	2 teams	—	493	447	152	38	4	14	36	58	4	0	0	340	394	537	931	197	362	12	7	404	97	—	—	—	—	—	—
2021	32	AA MLE	2 teams	—	124	114	28	5	1	1	9	16	0	0	0	246	301	333	634	88	276	13	7	282	77	—	—	—	—	—	—
2021	32	AA RAW	2 teams	—	124	110	31	6	1	2	13	13	0	0	0	282	358	409	767	127	302	10	10	342	77	—	—	—	—	—	—
2008	19	ROK MLE	GCL Yankees	—	183	168	35	11	1	2	12	35	1	2	5	208	267	321	588	113	246	19	7	254	58	—	—	—	—	—	—
2009	20	A MLE	Charleston RiverDogs	—	436	398	106	14	8	3	32	82	3	8	5	266	326	364	691	98	320	19	7	305	93	—	—	—	—	—	—
2010	21	A+ MLE	2 teams	—	567	519	129	33	6	5	36	144	7	6	8	249	309	364	673	116	326	25	6	300	89	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	672	618	158	39	8	6	48	157	1	5	6	256	311	374	685	118	329	23	7	299	88	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	488	437	104	23	2	14	48	85	0	0	1	238	316	396	712	158	262	17	10	314	98	—	—	—	—	—	—
2013	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	213	193	40	7	0	5	14	46	4	2	0	207	272	321	594	114	246	22	7	268	68	—	—	—	—	—	—
2014	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	256	241	57	10	2	3	13	38	0	0	1	237	276	332	608	95	266	15	5	269	68	—	—	—	—	—	—
2015	26	AA MLE	Bowie Baysox	—	399	378	92	15	1	4	16	44	2	3	6	243	279	320	599	77	264	11	4	260	62	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	408	385	108	16	2	8	19	50	1	5	1	281	317	395	712	114	301	12	5	311	97	—	—	—	—	—	—
2017	28	AA MLE	2 teams	—	343	321	78	14	0	6	18	45	1	1	5	243	288	343	631	100	262	13	5	276	73	—	—	—	—	—	—
2018	29	AA MLE	2 teams	—	542	498	131	26	2	12	36	59	3	8	2	263	319	396	715	133	272	11	7	312	97	—	—	—	—	—	—
2019	30	AAA MLE	2 teams	—	493	461	122	30	3	10	25	72	4	0	0	265	310	408	718	143	289	15	5	312	97	—	—	—	—	—	—
2021	32	AA MLE	2 teams	—	124	114	28	5	1	1	9	16	0	0	0	246	301	333	634	88	268	13	7	282	77	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	87	82	14	4	0	1	4	17	0	0	0	171	209	256	465	85	200	20	5	209	86	-8	+0	-4	-8	+2	-1.8
/ 162G	—	A+C		—	650	613	104	30	0	7	30	127	0	0	0	170	208	253	461	83	200	20	5	209	86	-56	+0	-29	-59	+14	-13.3
Career	—	MLE		—	5124	4707	1188	243	36	79	326	873	27	40	40	252	305	370	674	117	292	17	6	295	86	-8	+0	-4	-8	+2	-1.8
/ 162G	—	MLE		—	650	597	151	31	5	10	41	111	3	5	5	253	304	372	676	119	293	17	6	295	86	-56	+0	-29	-59	+14	-13.3

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.

2021 AAHarrisburg Senators · 100 PAwOBA .292 → .246 (−46)K% 10.0% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷0.980	×1.220	—	—	12.46%
BB% (unintentional) /PA	11.00%	÷0.948	×0.690	—	×0.940	7.53%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	22.78%	÷0.967	×0.940	×1.021	×0.940	21.26%
Doubles /BIP	3.80%	÷1.055	×0.870	×1.021	×0.940	3.01%
Triples /BIP	0.00%	÷1.150	×0.920	×1.021	×0.940	0.00%
Home runs /BIP	1.27%	÷1.037	×0.780	—	×0.940	0.89%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 93, 2B 111, 3B 130, K 96, BB 90 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .292 → .246; ISO .067 → .051; BABIP .269 → .245. 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).

2021 AAARochester Red Wings · 24 PAwOBA .531 → .432 (−99)K% 12.5% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷0.979	×1.200	—	—	15.32%
BB% (unintentional) /PA	8.33%	÷1.014	×0.690	—	×0.942	5.34%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	22.22%	÷0.994	×0.930	—	×0.942	19.58%
Doubles /BIP	16.67%	÷1.005	×0.830	—	×0.942	12.97%
Triples /BIP	5.56%	÷1.150	×0.920	—	×0.942	4.19%
Home runs /BIP	5.56%	÷0.968	×0.700	—	×0.942	3.78%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — 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 .531 → .432; ISO .381 → .296; BABIP .444 → .362. 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).

2019 AAALas Vegas Aviators · 425 PAwOBA .430 → .330 (−100)K% 10.8% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.82%	÷0.990	×1.290	—	—	14.10%
BB% (unintentional) /PA	7.53%	÷0.985	×0.710	—	×0.962	5.22%
HBP% /PA	0.94%	—	×0.980	—	×0.962	0.89%
Singles /BIP	26.71%	÷1.018	×0.900	×0.950	×0.962	21.58%
Doubles /BIP	10.39%	÷0.951	×0.810	×0.950	×0.962	8.08%
Triples /BIP	1.19%	÷1.102	×0.810	×0.950	×0.962	0.80%
Home runs /BIP	3.86%	÷1.119	×0.780	—	×0.962	2.59%

Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 90, 3B 120, K 98, BB 97 — 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 ×0.950.

Result: wOBA .430 → .330; ISO .214 → .154; BABIP .392 → .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).

2018 AABowie Baysox · 523 PAwOBA .377 → .314 (−63)K% 8.2% → 10.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.22%	÷0.960	×1.220	—	—	10.45%
BB% (unintentional) /PA	9.75%	÷0.978	×0.700	—	×0.948	6.61%
HBP% /PA	0.57%	—	×0.850	—	×0.948	0.46%
Singles /BIP	22.60%	÷0.996	×0.970	×0.974	×0.948	20.31%
Doubles /BIP	7.21%	÷0.971	×0.860	×0.974	×0.948	5.90%
Triples /BIP	0.48%	÷0.900	×0.950	×0.974	×0.948	0.47%
Home runs /BIP	4.09%	÷1.060	×0.780	—	×0.948	2.85%

Factors used: league row EL. Park (home-season share, regressed): HR 112, 1B 99, 2B 94, 3B 80, K 92, BB 96 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .377 → .314; ISO .185 → .145; BABIP .311 → .271. 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).

2017 AAHarrisburg Senators · 226 PAwOBA .350 → .307 (−44)K% 10.2% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.18%	÷1.022	×1.220	—	—	12.15%
BB% (unintentional) /PA	8.41%	÷0.974	×0.700	—	×0.958	5.79%
HBP% /PA	0.44%	—	×0.850	—	×0.958	0.36%
Singles /BIP	24.16%	÷1.016	×0.970	×1.021	×0.958	22.56%
Doubles /BIP	5.62%	÷0.998	×0.860	×1.021	×0.958	4.74%
Triples /BIP	0.00%	÷0.906	×0.950	×1.021	×0.958	0.00%
Home runs /BIP	3.93%	÷0.970	×0.780	—	×0.958	3.03%

Factors used: league row EL. Park (home-season share, regressed): HR 94, 1B 103, 2B 100, 3B 81, K 104, BB 95 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .350 → .307; ISO .154 → .127; BABIP .305 → .277. 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).

2017 AAASyracuse Chiefs · 117 PAwOBA .259 → .215 (−44)K% 12.8% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.82%	÷1.005	×1.200	—	—	15.31%
BB% (unintentional) /PA	6.84%	÷1.033	×0.690	—	×0.982	4.48%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	19.35%	÷0.997	×0.930	×1.002	×0.982	17.76%
Doubles /BIP	7.53%	÷1.081	×0.830	×1.002	×0.982	5.69%
Triples /BIP	0.00%	÷1.150	×0.970	×1.002	×0.982	0.00%
Home runs /BIP	0.00%	÷0.980	×0.840	—	×0.982	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 99, 2B 116, 3B 130, K 101, BB 107 — 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 ×1.002.

Result: wOBA .259 → .215; ISO .065 → .049; BABIP .266 → .232. 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 AAANorfolk Tides · 313 PAwOBA .343 → .303 (−41)K% 10.2% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.22%	÷0.983	×1.200	—	—	12.47%
BB% (unintentional) /PA	7.35%	÷1.046	×0.690	—	×0.992	4.81%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	25.69%	÷1.027	×0.930	×0.991	×0.992	22.89%
Doubles /BIP	5.53%	÷1.021	×0.830	×0.991	×0.992	4.42%
Triples /BIP	0.40%	÷1.150	×0.970	×0.991	×0.992	0.33%
Home runs /BIP	2.77%	÷0.776	×0.840	—	×0.992	2.97%

Factors used: league row IL. Park (home-season share, regressed): HR 55, 1B 105, 2B 104, 3B 130, K 97, BB 109 — 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 ×0.991.

Result: wOBA .343 → .303; ISO .130 → .127; BABIP .324 → .284. 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 AABowie Baysox · 95 PAwOBA .371 → .338 (−34)K% 9.5% → 11.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.47%	÷0.984	×1.220	—	—	11.74%
BB% (unintentional) /PA	6.32%	÷1.084	×0.700	—	×0.968	3.95%
HBP% /PA	1.05%	—	×0.850	—	×0.968	0.87%
Singles /BIP	29.87%	÷0.992	×0.970	×1.024	×0.968	28.96%
Doubles /BIP	6.49%	÷1.053	×0.860	×1.024	×0.968	5.26%
Triples /BIP	1.30%	÷0.900	×0.950	×1.024	×0.968	1.36%
Home runs /BIP	1.30%	÷1.057	×0.780	—	×0.968	0.93%

Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 98, 2B 111, 3B 80, K 97, BB 117 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .371 → .338; ISO .116 → .099; BABIP .377 → .355. 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).