Andrew Lambo

PosRF

B/TL/L

Born1988-08-11

Age (2027)38

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	26	INTLGigantes del …	40	.079/.125/.158	1	0	-24	—
2015	26	MLBPIT	27	.040/.111/.080	0	0	-48	-0.5
2016	27	AAAMIL	240	.255/.324/.384	4	1	57	—	.212/.265/.324
2017	28	AAAMIL	47	.133/.152/.178	0	0	-43	—	.089/.109/.111
2018	29	No MLB games played
2019	30	No MLB games played
2020	31	No MLB games played
2021	32	No MLB games played
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 -0.5

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)
2007	18	ROK	GCL Dodgers	—	218	181	62	15	1	5	29	34	5	1	2	343	447	519	966	177	393	16	13	423	99	—	—	—	—	—	—
2008	19	AA	Jacksonville Suns	—	38	36	14	2	1	3	2	9	0	0	0	389	421	750	1.171	361	458	24	5	502	174	—	—	—	—	—	—
2008	19	A	Great Lakes Loons	—	518	472	136	33	2	15	41	110	2	5	2	288	348	462	809	174	346	21	8	357	82	—	—	—	—	—	—
2009	20	AA	Chattanooga Lookouts	—	541	492	126	39	1	11	39	95	3	4	3	256	315	407	721	150	293	18	7	318	79	—	—	—	—	—	—
2010	21	AA	Altoona Curve	—	300	272	74	12	2	6	24	69	2	1	1	272	336	397	733	125	343	23	8	327	91	—	—	—	—	—	—
2010	21	INTL	Mesa Solar Sox	—	114	106	29	8	0	4	7	22	1	0	2	274	325	462	787	189	312	19	6	347	121	—	—	—	—	—	—
2011	22	AAA	Indianapolis Indians	—	207	185	34	11	0	3	17	48	2	1	0	184	260	292	552	108	228	23	8	250	34	—	—	—	—	—	—
2011	22	AA	Altoona Curve	—	286	252	69	17	0	8	26	59	3	4	3	274	349	437	785	163	324	21	9	345	90	—	—	—	—	—	—
2012	23	AA	Altoona Curve	—	108	92	22	3	1	3	14	21	0	0	1	239	340	391	731	152	275	19	13	325	68	—	—	—	—	—	—
2012	23	ROK	GCL Pirates	—	40	33	16	4	0	1	5	5	1	1	0	485	564	697	1.261	212	536	12	12	535	156	—	—	—	—	—	—
2013	24	MLB	Pittsburgh Pirates	—	33	30	7	2	0	1	3	11	0	0	1	233	303	400	703	167	333	33	9	314	100	+0	-0	-1	-7	+1	-0.7
2013	24	AAA	Indianapolis Indians	—	254	224	61	15	1	18	24	67	2	1	0	272	348	589	937	317	303	26	9	398	116	—	—	—	—	—	—
2013	24	AA	Altoona Curve	—	247	220	64	9	4	14	20	60	2	6	1	291	355	559	914	268	336	24	8	389	103	—	—	—	—	—	—
2013	24	INTL	Cardenales de Lara	—	106	92	21	6	2	0	11	28	1	0	1	228	317	337	654	109	318	26	10	293	85	—	—	—	—	—	—
2014	25	MLB	Pittsburgh Pirates	—	39	39	10	4	0	0	0	8	0	0	0	256	256	359	615	103	323	21	0	271	66	-2	+0	+1	-3	+1	-0.3
2014	25	AAA	Indianapolis Indians	—	262	238	78	19	2	11	22	47	2	3	2	328	389	563	952	235	372	18	8	416	124	—	—	—	—	—	—
2014	25	ROK	GCL Pirates	—	17	13	2	0	0	1	4	3	0	0	0	154	353	385	738	231	111	18	24	340	38	—	—	—	—	—	—
2015	26	MLB	Pittsburgh Pirates	—	27	25	1	1	0	0	2	8	0	0	0	40	111	80	191	40	59	30	7	99	-48	-5	+0	-0	-1	+1	-0.5
2015	26	INTL	Gigantes del Cibao	—	40	38	3	0	0	1	2	11	0	0	0	79	125	158	283	79	77	28	5	132	-24	—	—	—	—	—	—
2016	27	AAA	Nashville Sounds	—	240	216	55	10	3	4	21	43	1	1	0	255	324	384	708	130	298	18	9	316	57	—	—	—	—	—	—
2017	28	AAA	Nashville Sounds	—	47	45	6	2	0	0	1	17	0	0	0	133	152	178	330	44	214	36	2	147	-43	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	99	94	18	7	0	1	5	27	0	0	1	191	232	298	530	106	258	27	5	238	48	-6	-0	-0	-11	+2	-1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	18	ROK MLE	GCL Dodgers	—	218	192	50	11	1	4	18	49	5	1	2	260	340	391	730	130	313	22	8	315	99	—	—	—	—	—	—
2008	19	AA MLE	Jacksonville Suns	—	38	37	13	2	1	2	1	11	0	0	0	351	368	622	990	270	431	29	3	426	174	—	—	—	—	—	—
2008	19	A MLE	Great Lakes Loons	—	518	485	119	27	2	12	28	150	2	5	2	245	289	384	673	138	323	29	5	289	82	—	—	—	—	—	—
2009	20	AA MLE	Chattanooga Lookouts	—	541	504	121	38	1	9	27	116	3	4	3	240	283	373	656	133	284	21	5	285	79	—	—	—	—	—	—
2010	21	AA MLE	Altoona Curve	—	300	279	75	11	2	6	17	85	2	1	1	269	315	387	703	118	358	28	6	302	91	—	—	—	—	—	—
2011	22	AAA MLE	Indianapolis Indians	—	207	191	32	10	0	3	11	58	2	1	0	168	221	267	488	99	217	28	5	218	34	—	—	—	—	—	—
2011	22	AA MLE	Altoona Curve	—	286	260	64	15	0	7	18	74	3	4	3	246	302	385	687	138	307	26	6	301	90	—	—	—	—	—	—
2012	23	AA MLE	Altoona Curve	—	108	96	19	2	1	2	10	26	0	0	1	198	274	302	576	104	250	24	9	268	68	—	—	—	—	—	—
2012	23	ROK MLE	GCL Pirates	—	40	35	13	3	0	1	3	7	1	1	0	371	436	543	979	171	403	18	8	399	156	—	—	—	—	—	—
2013	24	MLB MLE	Pittsburgh Pirates	—	33	30	7	2	0	1	3	11	0	0	1	233	303	400	703	167	333	33	9	316	100	+0	-0	-1	-7	+1	-0.7
2013	24	AAA MLE	Indianapolis Indians	—	254	234	56	13	1	17	14	88	2	1	0	239	288	521	809	282	286	35	6	339	116	—	—	—	—	—	—
2013	24	AA MLE	Altoona Curve	—	247	228	54	7	3	12	12	81	2	6	1	237	281	452	733	215	304	33	5	320	103	—	—	—	—	—	—
2014	25	MLB MLE	Pittsburgh Pirates	—	39	39	10	4	0	0	0	8	0	0	0	256	256	359	615	103	323	21	0	266	66	-2	+0	+1	-3	+1	-0.3
2014	25	AAA MLE	Indianapolis Indians	—	262	247	70	17	2	11	13	58	2	3	2	283	324	502	826	219	327	22	5	352	124	—	—	—	—	—	—
2014	25	ROK MLE	GCL Pirates	—	17	15	2	0	0	1	2	4	0	0	0	133	235	333	569	200	83	24	12	225	38	—	—	—	—	—	—
2015	26	MLB MLE	Pittsburgh Pirates	—	27	25	1	1	0	0	2	8	0	0	0	40	111	80	191	40	59	30	7	97	-48	-5	+0	-0	-1	+1	-0.5
2016	27	AAA MLE	Nashville Sounds	—	240	222	47	9	2	4	15	55	1	1	0	212	265	324	589	113	254	23	6	253	57	—	—	—	—	—	—
2017	28	AAA MLE	Nashville Sounds	—	47	45	4	1	0	0	1	22	0	0	0	89	109	111	220	22	184	47	2	105	-43	—	—	—	—	—	—
2007	18	ROK MLE	GCL Dodgers	—	218	192	50	11	1	4	18	49	5	1	2	260	340	391	730	130	324	22	8	315	99	—	—	—	—	—	—
2007	18	ROK RAW	GCL Dodgers	—	218	181	62	15	1	5	29	34	5	1	2	343	447	519	966	177	393	16	13	423	99	—	—	—	—	—	—
2008	19	A MLE	2 teams	—	556	522	131	29	3	14	29	161	2	5	2	251	293	398	691	148	334	29	5	298	88	—	—	—	—	—	—
2008	19	A RAW	2 teams	—	556	508	150	35	3	18	43	119	2	5	2	295	353	482	835	187	353	21	8	367	88	—	—	—	—	—	—
2009	20	AA MLE	Chattanooga Lookouts	—	541	504	121	38	1	9	27	116	3	4	3	240	283	373	656	133	290	21	5	285	79	—	—	—	—	—	—
2009	20	AA RAW	Chattanooga Lookouts	—	541	492	126	39	1	11	39	95	3	4	3	256	315	407	721	150	293	18	7	318	79	—	—	—	—	—	—
2010	21	AA MLE	2 teams	—	414	386	103	15	2	8	23	117	3	1	3	267	313	378	691	111	363	28	6	302	91	—	—	—	—	—	—
2010	21	AA RAW	2 teams	—	414	378	103	20	2	10	31	91	3	1	3	272	333	415	748	143	335	22	7	333	91	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	493	451	97	25	0	10	29	132	5	5	3	215	270	337	607	122	277	27	6	266	66	—	—	—	—	—	—
2011	22	AA RAW	2 teams	—	493	437	103	28	0	11	43	107	5	5	3	236	311	375	687	140	284	22	9	305	66	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	148	131	32	5	1	3	13	33	1	1	1	244	317	366	684	122	299	22	9	303	91	—	—	—	—	—	—
2012	23	AA RAW	2 teams	—	148	125	38	7	1	4	19	26	1	1	1	304	400	472	872	168	351	18	13	381	91	—	—	—	—	—	—
2013	24	AAA MLE	4 teams	—	640	589	142	27	5	36	35	216	5	7	3	241	289	487	777	246	307	34	5	329	109	—	—	—	—	—	—
2013	24	AAA RAW	4 teams	—	640	566	153	32	7	33	58	166	5	7	3	270	343	527	870	256	320	26	9	373	109	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	318	300	81	21	2	12	16	70	2	3	2	270	311	473	785	203	317	22	5	335	113	—	—	—	—	—	—
2014	25	AAA RAW	3 teams	—	318	290	90	23	2	12	26	58	2	3	2	310	371	528	899	217	355	18	8	394	113	—	—	—	—	—	—
2015	26	INTL MLE	2 teams	—	67	62	2	2	0	0	5	20	0	0	0	32	104	65	169	32	48	30	7	97	-48	—	—	—	—	—	—
2015	26	INTL RAW	2 teams	—	67	63	4	1	0	1	4	19	0	0	0	63	119	127	246	63	70	28	6	119	-48	—	—	—	—	—	—
2016	27	AAA MLE	Nashville Sounds	—	240	222	47	9	2	4	15	55	1	1	0	212	265	324	589	113	261	23	6	253	57	—	—	—	—	—	—
2016	27	AAA RAW	Nashville Sounds	—	240	216	55	10	3	4	21	43	1	1	0	255	324	384	708	130	298	18	9	316	57	—	—	—	—	—	—
2017	28	AAA MLE	Nashville Sounds	—	47	45	4	1	0	0	1	22	0	0	0	89	109	111	220	22	174	47	2	105	-43	—	—	—	—	—	—
2017	28	AAA RAW	Nashville Sounds	—	47	45	6	2	0	0	1	17	0	0	0	133	152	178	330	44	214	36	2	147	-43	—	—	—	—	—	—
2007	18	ROK MLE	GCL Dodgers	—	218	193	50	11	1	4	18	49	5	1	2	259	340	389	728	130	313	22	8	315	99	—	—	—	—	—	—
2008	19	A MLE	2 teams	—	556	520	131	29	3	14	29	161	2	5	2	252	293	400	693	148	330	29	5	298	88	—	—	—	—	—	—
2009	20	AA MLE	Chattanooga Lookouts	—	541	506	121	38	1	9	27	116	3	4	3	239	283	372	654	132	284	21	5	285	79	—	—	—	—	—	—
2010	21	AA MLE	2 teams	—	414	385	103	15	2	8	23	117	3	1	3	268	313	379	692	112	358	28	6	302	91	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	493	456	97	25	0	10	29	132	5	5	3	213	270	333	603	121	269	27	6	266	66	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	148	133	32	5	1	3	13	33	1	1	1	241	317	361	678	120	291	22	9	303	91	—	—	—	—	—	—
2013	24	AAA MLE	4 teams	—	640	595	142	27	5	36	35	216	5	7	3	239	289	482	772	244	297	34	5	329	109	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	318	297	81	21	2	12	16	70	2	3	2	273	311	478	789	205	313	22	5	335	113	—	—	—	—	—	—
2015	26	INTL MLE	2 teams	—	67	62	2	2	0	0	5	20	0	0	0	32	104	65	169	32	59	30	7	97	-48	—	—	—	—	—	—
2016	27	AAA MLE	Nashville Sounds	—	240	222	47	9	2	4	15	55	1	1	0	212	265	324	589	113	254	23	6	253	57	—	—	—	—	—	—
2017	28	AAA MLE	Nashville Sounds	—	47	46	4	1	0	0	1	22	0	0	0	87	109	109	217	22	184	47	2	105	-43	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	99	94	18	7	0	1	5	27	0	0	1	191	232	298	530	106	258	27	5	238	84	-6	-0	-0	-11	+2	-1.6
/ 162G	—	A+C		—	650	617	119	46	0	7	33	177	0	0	7	193	234	301	535	109	259	27	5	238	84	-41	-3	-2	-72	+14	-10.5
Career	—	MLE		—	3682	3404	810	183	17	100	211	991	27	28	19	238	288	390	678	152	303	27	6	293	84	-6	-0	-0	-11	+2	-1.6
/ 162G	—	MLE		—	650	601	143	32	3	18	37	175	5	5	3	238	288	391	679	153	303	27	6	293	84	-41	-3	-2	-72	+14	-10.5

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.

2017 AAANashville Sounds · 47 PAwOBA .143 → .105 (−38)K% 36.2% → 46.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.17%	÷1.003	×1.290	—	—	46.53%
BB% (unintentional) /PA	2.13%	÷1.029	×0.710	—	×0.982	1.44%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	14.29%	÷0.984	×0.900	—	×0.982	12.83%
Doubles /BIP	7.14%	÷1.021	×0.810	—	×0.982	5.57%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.868	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 74, 1B 97, 2B 104, 3B 80, K 101, BB 106 — 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).

Result: wOBA .143 → .105; ISO .044 → .030; BABIP .214 → .184. 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 AAANashville Sounds · 240 PAwOBA .310 → .253 (−57)K% 17.9% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.92%	÷1.004	×1.290	—	—	23.02%
BB% (unintentional) /PA	8.75%	÷0.979	×0.710	—	×0.992	6.30%
HBP% /PA	0.42%	—	×0.980	—	×0.992	0.41%
Singles /BIP	21.97%	÷1.035	×0.900	×0.988	×0.992	18.73%
Doubles /BIP	5.78%	÷0.898	×0.810	×0.988	×0.992	5.11%
Triples /BIP	1.73%	÷1.015	×0.810	×0.988	×0.992	1.36%
Home runs /BIP	2.31%	÷0.856	×0.780	—	×0.992	2.09%

Factors used: league row PCL. Park (home-season share, regressed): HR 71, 1B 107, 2B 80, 3B 103, K 101, BB 96 — 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 ×0.988.

Result: wOBA .310 → .253; ISO .130 → .110; BABIP .298 → .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 AAAIndianapolis Indians · 262 PAwOBA .400 → .352 (−48)K% 17.9% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.94%	÷0.968	×1.200	—	—	22.23%
BB% (unintentional) /PA	6.87%	÷0.944	×0.690	—	×1.018	5.11%
HBP% /PA	0.76%	—	×0.940	—	×1.018	0.73%
Singles /BIP	24.08%	÷1.068	×0.930	×0.985	×1.018	21.04%
Doubles /BIP	9.95%	÷0.932	×0.830	×0.985	×1.018	8.89%
Triples /BIP	1.05%	÷1.150	×0.970	×0.985	×1.018	0.89%
Home runs /BIP	5.76%	÷0.854	×0.840	—	×1.018	5.77%

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 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 ×0.985.

Result: wOBA .400 → .352; ISO .235 → .221; BABIP .372 → .327. 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 ROKGCL Pirates · 17 PAwOBA .332 → .225 (−107)K% 17.6% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.000	×1.440	—	—	25.41%
BB% (unintentional) /PA	23.53%	÷1.000	×0.620	—	×0.940	13.71%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	10.00%	÷1.000	×0.820	—	×0.940	7.71%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	10.00%	÷1.000	×0.780	—	×0.940	7.33%

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 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).

Result: wOBA .332 → .225; ISO .231 → .175; BABIP .111 → .083. 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 · 254 PAwOBA .386 → .339 (−47)K% 26.4% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.38%	÷0.909	×1.200	—	—	34.82%
BB% (unintentional) /PA	7.87%	÷1.012	×0.690	—	×1.033	5.55%
HBP% /PA	0.79%	—	×0.940	—	×1.033	0.76%
Singles /BIP	17.20%	÷0.978	×0.930	×0.999	×1.033	16.87%
Doubles /BIP	9.55%	÷0.954	×0.830	×0.999	×1.033	8.58%
Triples /BIP	0.64%	÷1.080	×0.970	×0.999	×1.033	0.59%
Home runs /BIP	11.46%	÷0.901	×0.840	—	×1.033	11.04%

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 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .386 → .339; ISO .317 → .286; BABIP .303 → .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).

2013 AAAltoona Curve · 247 PAwOBA .381 → .320 (−61)K% 24.3% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.29%	÷0.905	×1.220	—	—	32.73%
BB% (unintentional) /PA	7.69%	÷1.073	×0.700	—	×0.998	5.01%
HBP% /PA	0.81%	—	×0.850	—	×0.998	0.69%
Singles /BIP	23.12%	÷0.997	×0.970	×0.950	×0.998	21.33%
Doubles /BIP	5.62%	÷0.933	×0.860	×0.950	×0.998	4.92%
Triples /BIP	2.50%	÷1.006	×0.950	×0.950	×0.998	2.24%
Home runs /BIP	8.75%	÷0.836	×0.780	—	×0.998	8.14%

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 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .381 → .320; ISO .268 → .234; BABIP .336 → .304. 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 AAAltoona Curve · 108 PAwOBA .319 → .268 (−51)K% 19.4% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.44%	÷0.979	×1.220	—	—	24.23%
BB% (unintentional) /PA	12.96%	÷0.943	×0.700	—	×1.012	9.74%
HBP% /PA	0.00%	—	×0.850	—	×1.012	0.00%
Singles /BIP	21.13%	÷1.018	×0.970	×0.989	×1.012	20.14%
Doubles /BIP	4.23%	÷1.173	×0.860	×0.989	×1.012	3.10%
Triples /BIP	1.41%	÷1.026	×0.950	×0.989	×1.012	1.30%
Home runs /BIP	4.23%	÷1.042	×0.780	—	×1.012	3.20%

Factors used: league row EL. Park (home-season share, regressed): HR 108, 1B 104, 2B 135, 3B 105, K 96, BB 89 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .319 → .268; ISO .152 → .119; BABIP .275 → .250. 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 ROKGCL Pirates · 40 PAwOBA .534 → .399 (−136)K% 12.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.000	×1.440	—	—	18.00%
BB% (unintentional) /PA	12.50%	÷1.000	×0.620	—	×0.955	7.40%
HBP% /PA	2.50%	—	×0.720	—	×0.955	1.72%
Singles /BIP	39.29%	÷1.000	×0.820	—	×0.955	30.76%
Doubles /BIP	14.29%	÷1.000	×0.720	—	×0.955	9.82%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	3.57%	÷1.000	×0.780	—	×0.955	2.66%

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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .534 → .399; ISO .212 → .157; BABIP .536 → .403. 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 — .