Gregory Polanco

PosRF

B/TL/L

Born1991-09-14

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	27	AAA/A+PIT	71	.241/.380/.362	1	2	71	—	.206/.296/.317
2019	27	MLBPIT	167	.242/.299/.425	6	3	102	-0.1
2020	28	INTLLeones del Es…	87	.197/.282/.342	2	2	74	—
2020	28	MLBPIT	174	.153/.216/.325	7	3	50	-0.9
2021	29	AAATOR	101	.374/.436/.747	9	5	122	—	.266/.317/.511
2021	29	MLBPIT	382	.208/.289/.354	11	14	79	-1.1
2022	30	No MLB games played
2023	31	No MLB games played
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -2.1

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

Avg EV71

Barrel%64

xwOBA49

Speed43

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)
2009	17	ROK	DSL Pirates	—	261	221	59	8	6	0	33	50	3	12	4	267	370	357	727	90	345	19	13	329	33	—	—	—	—	—	—
2010	18	ROK	GCL Pirates	—	200	188	38	5	1	3	9	41	2	19	2	202	246	287	533	85	241	20	4	241	1	—	—	—	—	—	—
2011	19	ROK	GCL Pirates	—	203	169	40	4	4	3	24	33	3	18	0	237	342	361	703	124	268	16	12	310	40	—	—	—	—	—	—
2012	20	A	West Virginia Power	—	485	437	142	26	6	16	44	64	2	40	15	325	389	522	911	197	352	13	9	399	113	—	—	—	—	—	—
2012	20	INTL	Leones del Escogido	—	36	35	6	2	0	0	0	11	0	1	1	171	171	229	400	57	250	31	0	172	2	—	—	—	—	—	—
2013	21	AA	Altoona Curve	—	286	243	64	13	2	6	36	36	1	13	7	263	361	407	768	144	282	13	13	340	95	—	—	—	—	—	—
2013	21	A+	Bradenton Marauders	—	241	218	68	17	0	6	16	37	3	24	4	312	367	472	840	161	350	15	7	367	87	—	—	—	—	—	—
2013	21	INTL	Leones del Escogido	—	194	166	55	10	1	5	28	34	0	7	1	331	428	494	922	163	394	18	14	411	164	—	—	—	—	—	—
2014	22	MLB	Pittsburgh Pirates	—	312	277	65	9	0	7	30	59	0	14	5	235	308	343	651	108	272	19	10	293	85	-6	+1	-5	-7	+7	-1.0
2014	22	AAA	Indianapolis Indians	—	305	274	90	17	5	7	28	49	1	16	6	328	393	504	896	175	377	16	9	393	125	—	—	—	—	—	—
2015	23	MLB	Pittsburgh Pirates	—	652	593	152	35	6	9	55	121	1	27	10	256	320	381	702	125	308	19	8	314	94	-4	+1	+2	-7	+14	0.6
2016	24	MLB	Pittsburgh Pirates	—	587	527	136	34	4	22	53	119	0	17	6	258	326	463	789	205	291	20	9	344	116	+11	+1	+1	-6	+13	2.0
2017	25	MLB	Pittsburgh Pirates	—	411	379	95	20	0	11	27	60	3	8	1	251	305	391	695	140	272	15	7	310	93	-3	+1	-3	-4	+9	-0.0
2018	26	MLB	Pittsburgh Pirates	—	535	461	117	32	6	23	61	117	3	12	2	254	343	499	842	245	287	22	11	363	130	+19	+2	-4	-6	+12	2.3
2019	27	MLB	Pittsburgh Pirates	—	167	153	37	8	1	6	12	49	1	3	1	242	299	425	724	183	316	29	7	320	102	+0	+0	-3	-3	+4	-0.1
2019	27	AAA	Indianapolis Indians	—	54	45	12	4	0	1	9	16	0	2	0	267	389	422	811	156	393	30	17	367	87	—	—	—	—	—	—
2019	27	A+	Bradenton Marauders	—	17	13	2	0	0	0	4	2	0	0	0	154	353	154	507		182	12	24	271	20	—	—	—	—	—	—
2020	28	MLB	Pittsburgh Pirates	—	174	157	24	6	0	7	13	65	0	3	1	153	216	325	541	172	193	37	7	237	50	-10	+0	+0	-3	+4	-0.9
2020	28	INTL	Leones del Escogido	—	87	76	15	3	1	2	8	18	1	2	0	197	282	342	624	145	224	21	9	277	74	—	—	—	—	—	—
2021	29	MLB	Pittsburgh Pirates	—	382	336	70	12	2	11	36	104	2	14	1	208	289	354	643	146	258	27	9	285	79	-10	+2	-6	-5	+8	-1.1
2021	29	AAA	Buffalo Bisons	—	101	91	34	7	0	9	8	19	2	5	0	374	436	747	1.183	374	397	19	8	506	122	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3220	2883	696	156	19	96	287	694	10	98	27	241	312	409	720	167	283	22	9	318	101	+4	+9	-18	-41	+70	2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	DSL Pirates	—	261	232	40	5	4	0	22	61	3	12	4	172	253	228	481	56	227	23	8	217	33	—	—	—	—	—	—
2010	18	ROK MLE	GCL Pirates	—	200	191	28	3	1	2	6	59	2	19	2	147	181	204	385	58	195	30	3	170	1	—	—	—	—	—	—
2011	19	ROK MLE	GCL Pirates	—	203	178	32	3	3	2	15	48	3	18	0	180	255	264	519	84	207	24	7	228	40	—	—	—	—	—	—
2012	20	A MLE	West Virginia Power	—	485	450	127	21	6	14	31	82	2	40	15	282	331	449	780	167	318	17	6	335	113	—	—	—	—	—	—
2013	21	AA MLE	Altoona Curve	—	286	255	65	13	2	6	24	49	1	13	7	255	321	392	714	137	277	17	8	309	95	—	—	—	—	—	—
2013	21	A+ MLE	Bradenton Marauders	—	241	223	58	15	0	4	11	53	3	24	4	260	304	381	685	121	311	22	5	297	87	—	—	—	—	—	—
2014	22	MLB MLE	Pittsburgh Pirates	—	312	279	66	9	0	8	29	59	0	14	5	237	308	355	663	118	272	19	9	294	85	-6	+1	-5	-7	+7	-1.0
2014	22	AAA MLE	Indianapolis Indians	—	305	282	85	16	5	7	20	61	1	16	6	301	350	468	818	167	356	20	7	353	125	—	—	—	—	—	—
2015	23	MLB MLE	Pittsburgh Pirates	—	652	599	153	34	6	10	49	121	1	27	10	255	313	382	695	127	308	19	8	308	94	-4	+1	+2	-7	+14	0.6
2016	24	MLB MLE	Pittsburgh Pirates	—	587	533	137	33	4	24	47	119	0	17	6	257	317	469	786	212	291	20	8	340	116	+11	+1	+1	-6	+13	2.0
2017	25	MLB MLE	Pittsburgh Pirates	—	411	384	95	19	0	12	23	60	3	8	1	247	295	391	686	143	272	15	6	306	93	-3	+1	-3	-4	+9	-0.0
2018	26	MLB MLE	Pittsburgh Pirates	—	535	469	118	31	6	25	56	117	3	12	2	252	335	503	838	252	287	22	10	361	130	+19	+2	-4	-6	+12	2.3
2019	27	MLB MLE	Pittsburgh Pirates	—	167	155	37	8	1	6	11	49	1	3	1	239	293	419	713	181	316	29	7	320	102	+0	+0	-3	-3	+4	-0.1
2019	27	AAA MLE	Indianapolis Indians	—	54	48	11	4	0	1	6	19	0	2	0	229	315	375	690	146	354	35	11	297	87	—	—	—	—	—	—
2019	27	A+ MLE	Bradenton Marauders	—	17	15	2	0	0	0	2	3	0	0	0	133	235	133	369		160	18	12	198	20	—	—	—	—	—	—
2020	28	MLB MLE	Pittsburgh Pirates	—	174	158	25	6	0	8	13	65	0	3	1	158	222	348	570	190	193	37	7	243	50	-10	+0	+0	-3	+4	-0.9
2021	29	MLB MLE	Pittsburgh Pirates	—	382	338	70	11	2	12	34	104	2	14	1	207	283	358	641	151	258	27	9	285	79	-10	+2	-6	-5	+8	-1.1
2021	29	AAA MLE	Buffalo Bisons	—	101	94	25	5	0	6	5	24	2	5	0	266	317	511	827	245	303	24	5	349	122	—	—	—	—	—	—
2009	17	ROK MLE	DSL Pirates	—	261	232	40	5	4	0	22	61	3	12	4	172	253	228	481	56	234	23	8	217	33	—	—	—	—	—	—
2009	17	ROK RAW	DSL Pirates	—	261	221	59	8	6	0	33	50	3	12	4	267	370	357	727	90	345	19	13	329	33	—	—	—	—	—	—
2010	18	ROK MLE	GCL Pirates	—	200	191	28	3	1	2	6	59	2	19	2	147	181	204	385	58	198	30	3	170	1	—	—	—	—	—	—
2010	18	ROK RAW	GCL Pirates	—	200	188	38	5	1	3	9	41	2	19	2	202	246	287	533	85	241	20	4	241	1	—	—	—	—	—	—
2011	19	ROK MLE	GCL Pirates	—	203	178	32	3	3	2	15	48	3	18	0	180	255	264	519	84	226	24	7	228	40	—	—	—	—	—	—
2011	19	ROK RAW	GCL Pirates	—	203	169	40	4	4	3	24	33	3	18	0	237	342	361	703	124	268	16	12	310	40	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	521	483	137	23	6	15	33	89	2	41	16	284	332	449	781	166	321	17	6	335	113	—	—	—	—	—	—
2012	20	A RAW	2 teams	—	521	472	148	28	6	16	44	75	2	41	16	314	375	500	875	186	346	14	8	383	113	—	—	—	—	—	—
2013	21	AA MLE	3 teams	—	721	659	168	38	3	14	48	139	4	44	12	255	309	385	695	131	300	19	7	304	92	—	—	—	—	—	—
2013	21	AA RAW	3 teams	—	721	627	187	40	3	17	80	107	4	44	12	298	381	453	834	155	333	15	11	368	92	—	—	—	—	—	—
2014	22	MLB MLE	2 teams	—	617	561	151	25	5	15	49	120	1	30	11	269	329	412	741	143	316	19	8	323	105	+3	+2	-5	-7	+13	0.7
2014	22	MLB RAW	2 teams	—	617	551	155	26	5	14	58	108	1	30	11	281	350	423	773	142	326	18	9	343	105	+3	+2	-5	-7	+13	0.7
2015	23	MLB MLE	Pittsburgh Pirates	—	652	599	153	34	6	10	49	121	1	27	10	255	313	382	695	127	304	19	8	308	94	-4	+1	+2	-7	+14	0.6
2015	23	MLB RAW	Pittsburgh Pirates	—	652	593	152	35	6	9	55	121	1	27	10	256	320	381	702	125	308	19	8	314	94	-4	+1	+2	-7	+14	0.6
2016	24	MLB MLE	Pittsburgh Pirates	—	587	533	137	33	4	24	47	119	0	17	6	257	317	469	786	212	285	20	8	340	116	+11	+1	+1	-6	+13	2.0
2016	24	MLB RAW	Pittsburgh Pirates	—	587	527	136	34	4	22	53	119	0	17	6	258	326	463	789	205	291	20	9	344	116	+11	+1	+1	-6	+13	2.0
2017	25	MLB MLE	Pittsburgh Pirates	—	411	384	95	19	0	12	23	60	3	8	1	247	295	391	686	143	265	15	6	306	93	-3	+1	-3	-4	+9	-0.0
2017	25	MLB RAW	Pittsburgh Pirates	—	411	379	95	20	0	11	27	60	3	8	1	251	305	391	695	140	272	15	7	310	93	-3	+1	-3	-4	+9	-0.0
2018	26	MLB MLE	Pittsburgh Pirates	—	535	469	118	31	6	25	56	117	3	12	2	252	335	503	838	252	278	22	10	361	130	+19	+2	-4	-6	+12	2.3
2018	26	MLB RAW	Pittsburgh Pirates	—	535	461	117	32	6	23	61	117	3	12	2	254	343	499	842	245	287	22	11	363	130	+19	+2	-4	-6	+12	2.3
2019	27	MLB MLE	3 teams	—	238	218	49	11	1	7	19	71	1	5	1	225	290	381	671	156	300	30	8	306	93	-2	+1	-3	-3	+5	-0.1
2019	27	MLB RAW	3 teams	—	238	211	51	12	1	7	25	67	1	5	1	242	324	408	731	166	321	28	11	327	93	-2	+1	-3	-3	+5	-0.1
2020	28	MLB MLE	2 teams	—	261	235	37	9	0	11	20	98	1	5	1	157	227	336	563	179	198	38	8	243	50	-15	+1	+0	-3	+6	-1.2
2020	28	MLB RAW	2 teams	—	261	233	39	9	1	9	21	83	1	5	1	167	238	330	569	163	205	32	8	251	50	-15	+1	+0	-3	+6	-1.2
2021	29	MLB MLE	2 teams	—	483	432	95	17	2	17	39	128	4	19	1	220	291	387	677	167	264	27	8	298	88	-7	+3	-6	-5	+10	-0.5
2021	29	MLB RAW	2 teams	—	483	427	104	19	2	20	44	123	4	19	1	244	320	438	758	194	288	25	9	331	88	-7	+3	-6	-5	+10	-0.5
2009	17	ROK MLE	DSL Pirates	—	261	234	40	5	4	0	22	61	3	12	4	171	253	226	479	56	227	23	8	217	33	—	—	—	—	—	—
2010	18	ROK MLE	GCL Pirates	—	200	190	28	3	1	2	6	59	2	19	2	147	181	205	386	58	195	30	3	170	1	—	—	—	—	—	—
2011	19	ROK MLE	GCL Pirates	—	203	183	32	3	3	2	15	48	3	18	0	175	255	257	512	82	207	24	7	228	40	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	521	481	137	23	6	15	33	89	2	41	16	285	332	451	783	166	318	17	6	335	113	—	—	—	—	—	—
2013	21	AA MLE	3 teams	—	721	663	168	38	3	14	48	139	4	44	12	253	309	383	693	130	293	19	7	304	92	—	—	—	—	—	—
2014	22	MLB MLE	2 teams	—	617	562	151	25	5	15	49	120	1	30	11	269	329	411	740	142	314	19	8	323	105	—	—	—	—	—	—
2015	23	MLB MLE	Pittsburgh Pirates	—	652	597	153	34	6	10	49	121	1	27	10	256	313	384	696	127	308	19	8	308	94	—	—	—	—	—	—
2016	24	MLB MLE	Pittsburgh Pirates	—	587	535	137	33	4	24	47	119	0	17	6	256	317	467	785	211	291	20	8	340	116	—	—	—	—	—	—
2017	25	MLB MLE	Pittsburgh Pirates	—	411	382	95	19	0	12	23	60	3	8	1	249	295	393	688	144	272	15	6	306	93	—	—	—	—	—	—
2018	26	MLB MLE	Pittsburgh Pirates	—	535	471	118	31	6	25	56	117	3	12	2	251	335	501	836	251	287	22	10	361	130	—	—	—	—	—	—
2019	27	MLB MLE	3 teams	—	238	216	49	11	1	7	19	71	1	5	1	227	290	384	674	157	314	30	8	306	93	—	—	—	—	—	—
2020	28	MLB MLE	2 teams	—	261	238	37	9	0	11	20	98	1	5	1	155	227	332	558	176	193	38	8	243	50	—	—	—	—	—	—
2021	29	MLB MLE	2 teams	—	483	437	95	17	2	17	39	128	4	19	1	217	291	382	673	165	267	27	8	298	88	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3220	2883	696	156	19	96	287	694	10	98	27	241	312	409	720	167	283	22	9	318	92	+4	+9	-18	-41	+70	2.5
/ 162G	—	A+C		—	650	582	140	31	4	19	58	140	2	20	5	241	311	405	717	165	282	22	9	318	92	+1	+2	-4	-8	+14	0.5
Career	—	MLE		—	5690	5174	1240	251	41	154	426	1230	28	257	67	240	301	393	694	154	283	22	7	304	92	+4	+9	-18	-41	+70	2.5
/ 162G	—	MLE		—	650	591	143	29	5	18	49	141	3	29	8	242	303	399	703	157	286	22	8	304	92	+1	+2	-4	-8	+14	0.5

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 AAABuffalo Bisons · 101 PAwOBA .491 → .349 (−142)K% 18.8% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.81%	÷0.965	×1.200	—	—	23.38%
BB% (unintentional) /PA	7.92%	÷1.024	×0.690	—	×0.972	5.19%
HBP% /PA	1.98%	—	×0.940	—	×0.972	1.81%
Singles /BIP	25.00%	÷1.071	×0.930	×0.953	×0.972	20.11%
Doubles /BIP	9.72%	÷0.962	×0.830	×0.953	×0.972	7.77%
Triples /BIP	0.00%	÷1.150	×0.920	×0.953	×0.972	0.00%
Home runs /BIP	12.50%	÷1.081	×0.700	—	×0.972	7.87%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 114, 2B 92, 3B 130, K 93, BB 105 — 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 ×0.953.

Result: wOBA .491 → .349; ISO .374 → .242; BABIP .397 → .303. 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 AAAIndianapolis Indians · 54 PAwOBA .358 → .297 (−62)K% 29.6% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.63%	÷1.013	×1.200	—	—	35.10%
BB% (unintentional) /PA	16.67%	÷1.010	×0.690	—	×0.992	11.29%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	24.14%	÷1.026	×0.930	—	×0.992	21.71%
Doubles /BIP	13.79%	÷0.901	×0.830	—	×0.992	12.60%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.992	0.00%
Home runs /BIP	3.45%	÷0.953	×0.840	—	×0.992	3.02%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 80, 3B 130, K 103, 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).

Result: wOBA .358 → .297; ISO .156 → .139; BABIP .393 → .354. 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 A+Bradenton Marauders · 17 PAwOBA .239 → .198 (−42)K% 11.8% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷1.005	×1.420	—	—	16.63%
BB% (unintentional) /PA	17.65%	÷0.999	×0.750	—	×0.948	12.56%
HBP% /PA	0.00%	—	×0.930	—	×0.948	0.00%
Singles /BIP	18.18%	÷0.993	×0.920	—	×0.948	15.97%
Doubles /BIP	0.00%	÷1.005	×0.960	—	×0.948	0.00%
Triples /BIP	0.00%	÷0.915	×0.810	—	×0.948	0.00%
Home runs /BIP	0.00%	÷1.069	×0.880	—	×0.948	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 114, 1B 99, 2B 101, 3B 83, K 101, BB 100 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .239 → .198; ISO .000 → .000; BABIP .182 → .160. 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 AAAIndianapolis Indians · 305 PAwOBA .383 → .353 (−30)K% 16.1% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.07%	÷0.968	×1.200	—	—	19.91%
BB% (unintentional) /PA	8.52%	÷0.944	×0.690	—	×1.050	6.54%
HBP% /PA	0.33%	—	×0.940	—	×1.050	0.32%
Singles /BIP	27.11%	÷1.068	×0.930	×1.030	×1.050	25.52%
Doubles /BIP	7.56%	÷0.932	×0.830	×1.030	×1.050	7.27%
Triples /BIP	2.22%	÷1.150	×0.970	×1.030	×1.050	2.03%
Home runs /BIP	3.11%	÷0.854	×0.840	—	×1.050	3.21%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 114, 2B 86, 3B 130, K 94, BB 89 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .383 → .353; ISO .175 → .171; BABIP .377 → .356. 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 AAAltoona Curve · 286 PAwOBA .336 → .309 (−26)K% 12.6% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.59%	÷0.905	×1.220	—	—	16.96%
BB% (unintentional) /PA	12.24%	÷1.073	×0.700	—	×1.042	8.32%
HBP% /PA	0.35%	—	×0.850	—	×1.042	0.31%
Singles /BIP	20.77%	÷0.997	×0.970	×0.983	×1.042	20.70%
Doubles /BIP	6.28%	÷0.933	×0.860	×0.983	×1.042	5.93%
Triples /BIP	0.97%	÷1.006	×0.950	×0.983	×1.042	0.93%
Home runs /BIP	2.90%	÷0.836	×0.780	—	×1.042	2.82%

Factors used: league row EL. Park (home-season share, regressed): HR 67, 1B 99, 2B 87, 3B 101, K 81, BB 115 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .336 → .309; ISO .144 → .142; BABIP .282 → .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).

2013 A+Bradenton Marauders · 241 PAwOBA .360 → .297 (−63)K% 15.4% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.35%	÷0.994	×1.420	—	—	21.94%
BB% (unintentional) /PA	6.64%	÷1.068	×0.750	—	×1.012	4.72%
HBP% /PA	1.24%	—	×0.930	—	×1.012	1.17%
Singles /BIP	24.86%	÷1.056	×0.920	×1.012	×1.012	22.17%
Doubles /BIP	9.39%	÷1.079	×0.960	×1.012	×1.012	8.56%
Triples /BIP	0.00%	÷0.946	×0.810	×1.012	×1.012	0.00%
Home runs /BIP	3.31%	÷1.187	×0.880	—	×1.012	2.49%

Factors used: league row FSL. Park (home-season share, regressed): HR 137, 1B 111, 2B 116, 3B 89, K 99, BB 114 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .360 → .297; ISO .161 → .128; BABIP .350 → .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).

2012 AWest Virginia Power · 485 PAwOBA .389 → .335 (−54)K% 13.2% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.20%	÷1.040	×1.340	—	—	17.00%
BB% (unintentional) /PA	8.87%	÷0.933	×0.660	—	×1.015	6.37%
HBP% /PA	0.41%	—	×0.770	—	×1.015	0.32%
Singles /BIP	25.20%	÷1.035	×0.920	×1.027	×1.015	23.37%
Doubles /BIP	6.97%	÷1.031	×0.820	×1.027	×1.015	5.78%
Triples /BIP	1.61%	÷1.040	×0.940	×1.027	×1.015	1.52%
Home runs /BIP	4.29%	÷0.960	×0.820	—	×1.015	3.72%

Factors used: league row SAL. Park (home-season share, regressed): HR 92, 1B 107, 2B 106, 3B 108, K 108, BB 87 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .389 → .335; ISO .197 → .169; BABIP .352 → .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 ROKGCL Pirates · 203 PAwOBA .311 → .228 (−82)K% 16.3% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.26%	÷1.000	×1.440	—	—	23.41%
BB% (unintentional) /PA	11.82%	÷1.000	×0.620	—	×0.995	7.29%
HBP% /PA	1.48%	—	×0.720	—	×0.995	1.06%
Singles /BIP	21.32%	÷1.000	×0.820	×0.975	×0.995	16.97%
Doubles /BIP	2.94%	÷1.000	×0.720	×0.975	×0.995	2.06%
Triples /BIP	2.94%	÷1.000	×0.720	×0.975	×0.995	2.06%
Home runs /BIP	2.21%	÷1.000	×0.780	—	×0.995	1.71%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .311 → .228; ISO .124 → .093; BABIP .268 → .207. 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 — .