Charlie Culberson

Pos3B

B/TR/R

Born1989-04-10

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	32	MLBTEX	271	.243/.297/.381	5	7	85	0.6
2022	33	MLBTEX	124	.252/.283/.357	2	2	73	-0.6
2023	34	AAAATL	107	.204/.243/.255	1	3	8	—	.180/.204/.230
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR 0.0

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Speed58

xwOBA12

Barrel%10

Avg EV10

Bat Spd10

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	AZL Giants	—	187	161	46	8	5	1	19	38	5	19	1	286	378	416	795	130	363	20	10	355	59	—	—	—	—	—	—
2008	19	A	Augusta GreenJackets	—	313	282	66	11	2	3	18	57	6	6	6	234	294	319	613	85	279	18	6	274	51	—	—	—	—	—	—
2009	20	A	Augusta GreenJackets	—	558	509	125	19	3	2	33	110	10	15	4	246	304	306	611	61	308	20	6	278	42	—	—	—	—	—	—
2010	21	A+	San Jose Giants	—	551	503	146	28	4	16	33	99	8	25	7	290	344	457	801	167	330	18	6	351	84	—	—	—	—	—	—
2010	21	INTL	Scottsdale Scorpions	—	99	93	34	11	2	2	5	22	0	1	2	366	398	591	989	226	457	22	5	426	175	—	—	—	—	—	—
2011	22	AA	Richmond Flying Squirrels	—	587	553	143	34	2	10	22	129	6	14	4	259	294	382	676	123	320	22	4	299	51	—	—	—	—	—	—
2012	23	MLB	San Francisco Giants	—	23	22	3	0	0	0	0	7	0	0	0	136	136	136	273		200	30	0	118	-33	-4	+0	-0	+2	+0	-0.2
2012	23	AAA	Colorado Springs Sky Sox	—	508	476	125	25	7	12	21	94	5	14	4	263	301	420	721	158	302	19	4	315	56	—	—	—	—	—	—
2013	24	MLB	Colorado Rockies	—	104	99	29	5	0	2	4	23	0	5	1	293	320	404	724	111	360	22	4	320	90	-1	+1	-2	-6	+2	-0.7
2013	24	AAA	Colorado Springs Sky Sox	—	419	397	123	27	8	14	17	74	1	13	9	310	340	524	864	214	350	18	4	373	93	—	—	—	—	—	—
2014	25	MLB	Colorado Rockies	—	233	210	41	7	2	3	12	62	5	2	2	195	256	290	546	95	259	27	5	244	39	-17	-0	-0	+1	+5	-1.2
2015	26	AAA	Albuquerque Isotopes	—	20	20	4	1	0	1	0	6	0	0	0	200	200	400	600	200	231	30	0	259	1	—	—	—	—	—	—
2015	26	INTL	Gigantes del Cibao	—	92	77	19	2	0	1	13	16	1	1	1	247	363	312	674	65	300	17	14	314	99	—	—	—	—	—	—
2016	27	MLB	Los Angeles Dodgers	—	68	67	20	3	0	1	1	13	0	1	0	299	309	388	697	90	358	19	1	310	99	-0	+0	-0	+1	+1	0.3
2016	27	AAA	Oklahoma City Dodgers	—	285	265	69	17	2	4	18	61	1	6	5	260	310	385	695	125	325	21	6	310	51	—	—	—	—	—	—
2017	28	MLB	Los Angeles Dodgers	—	15	13	2	1	0	0	2	4	0	0	0	154	267	231	497	77	222	27	13	239	54	-1	+0	+0	+5	+0	0.4
2017	28	AAA	Oklahoma City Dodgers	—	414	384	96	13	4	4	26	68	1	7	3	250	299	336	635	86	294	16	6	286	42	—	—	—	—	—	—
2018	29	MLB	Atlanta Braves	—	322	296	80	18	2	12	21	85	4	4	2	270	327	466	793	196	340	26	7	349	115	+6	+0	-2	-3	+7	0.7
2019	30	MLB	Atlanta Braves	—	144	135	35	5	2	5	6	44	1	0	1	259	296	437	733	178	345	31	4	318	101	+0	-0	-1	-2	+3	0.1
2021	32	MLB	Texas Rangers	—	271	247	60	15	2	5	17	64	2	7	1	243	297	381	678	138	307	24	6	297	85	-5	+1	+3	+1	+6	0.6
2022	33	MLB	Texas Rangers	—	124	115	29	6	0	2	5	31	0	2	3	252	283	357	640	104	329	25	4	277	73	-4	-1	-4	+0	+3	-0.6
2023	34	AAA	Gwinnett Stripers	—	107	98	20	2	0	1	5	35	0	3	1	204	243	255	498	51	288	33	5	220	8	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1304	1204	299	60	8	30	68	333	12	21	10	248	295	386	681	138	318	26	5	300	89	-17	+0	-7	-1	+28	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	18	ROK MLE	AZL Giants	—	187	169	37	6	4	1	11	55	5	19	1	219	286	320	606	101	292	29	6	255	59	—	—	—	—	—	—
2008	19	A MLE	Augusta GreenJackets	—	313	287	64	10	2	3	13	76	6	6	6	223	271	303	574	80	274	24	4	243	51	—	—	—	—	—	—
2009	20	A MLE	Augusta GreenJackets	—	558	520	111	15	3	2	22	147	10	15	4	213	259	265	524	52	287	26	4	230	42	—	—	—	—	—	—
2010	21	A+ MLE	San Jose Giants	—	551	513	127	23	3	14	23	137	8	25	7	248	290	386	676	138	301	25	4	293	84	—	—	—	—	—	—
2011	22	AA MLE	Richmond Flying Squirrels	—	587	562	125	28	2	7	13	161	6	14	4	222	248	317	565	94	292	27	2	244	51	—	—	—	—	—	—
2012	23	MLB MLE	San Francisco Giants	—	23	22	3	0	0	0	0	7	0	0	0	136	136	136	273		200	30	0	120	-33	-4	+0	-0	+2	+0	-0.2
2012	23	AAA MLE	Colorado Springs Sky Sox	—	508	480	104	19	5	9	17	135	5	14	4	217	251	333	584	117	272	27	3	251	56	—	—	—	—	—	—
2013	24	MLB MLE	Colorado Rockies	—	104	100	28	5	0	2	3	23	0	5	1	280	301	390	691	110	360	22	3	301	90	-1	+1	-2	-6	+2	-0.7
2013	24	AAA MLE	Colorado Springs Sky Sox	—	419	404	106	23	6	11	10	101	1	13	9	262	282	431	713	168	322	24	2	305	93	—	—	—	—	—	—
2014	25	MLB MLE	Colorado Rockies	—	233	212	39	7	1	3	10	62	5	2	2	184	238	269	507	85	259	27	4	226	39	-17	-0	-0	+1	+5	-1.2
2015	26	AAA MLE	Albuquerque Isotopes	—	20	20	4	1	0	1	0	8	0	0	0	200	200	400	600	200	194	40	0	170	1	—	—	—	—	—	—
2016	27	MLB MLE	Los Angeles Dodgers	—	68	67	20	3	0	1	1	13	0	1	0	299	309	388	697	90	358	19	1	315	99	-0	+0	-0	+1	+1	0.3
2016	27	AAA MLE	Oklahoma City Dodgers	—	285	271	58	14	1	3	12	81	1	6	5	214	250	306	556	92	292	28	4	244	51	—	—	—	—	—	—
2017	28	MLB MLE	Los Angeles Dodgers	—	15	13	2	1	0	0	2	4	0	0	0	154	267	231	497	77	222	27	13	248	54	-1	+0	+0	+5	+0	0.4
2017	28	AAA MLE	Oklahoma City Dodgers	—	414	393	84	10	3	3	17	88	1	7	3	214	248	277	526	64	264	21	4	231	42	—	—	—	—	—	—
2018	29	MLB MLE	Atlanta Braves	—	322	301	80	18	2	12	16	85	4	4	2	266	312	458	770	193	340	26	5	338	115	+6	+0	-2	-3	+7	0.7
2019	30	MLB MLE	Atlanta Braves	—	144	135	35	5	2	5	6	44	1	0	1	259	296	437	733	178	345	31	4	318	101	+0	-0	-1	-2	+3	0.1
2021	32	MLB MLE	Texas Rangers	—	271	248	61	16	2	5	16	64	2	7	1	246	297	387	684	141	307	24	6	293	85	-5	+1	+3	+1	+6	0.6
2022	33	MLB MLE	Texas Rangers	—	124	115	29	6	0	2	5	31	0	2	3	252	283	357	640	104	329	25	4	276	73	-4	-1	-4	+0	+3	-0.6
2023	34	AAA MLE	Gwinnett Stripers	—	107	100	18	2	0	1	3	42	0	3	1	180	204	230	434	50	250	39	3	180	8	—	—	—	—	—	—
2007	18	ROK MLE	AZL Giants	—	187	169	37	6	4	1	11	55	5	19	1	219	286	320	606	101	313	29	6	255	59	—	—	—	—	—	—
2007	18	ROK RAW	AZL Giants	—	187	161	46	8	5	1	19	38	5	19	1	286	378	416	795	130	363	20	10	355	59	—	—	—	—	—	—
2008	19	A MLE	Augusta GreenJackets	—	313	287	64	10	2	3	13	76	6	6	6	223	271	303	574	80	288	24	4	243	51	—	—	—	—	—	—
2008	19	A RAW	Augusta GreenJackets	—	313	282	66	11	2	3	18	57	6	6	6	234	294	319	613	85	279	18	6	274	51	—	—	—	—	—	—
2009	20	A MLE	Augusta GreenJackets	—	558	520	111	15	3	2	22	147	10	15	4	213	259	265	524	52	292	26	4	230	42	—	—	—	—	—	—
2009	20	A RAW	Augusta GreenJackets	—	558	509	125	19	3	2	33	110	10	15	4	246	304	306	611	61	308	20	6	278	42	—	—	—	—	—	—
2010	21	A+ MLE	2 teams	—	650	607	151	28	3	17	27	161	8	26	9	249	290	389	679	140	307	25	4	293	84	—	—	—	—	—	—
2010	21	A+ RAW	2 teams	—	650	596	180	39	6	18	38	121	8	26	9	302	352	478	830	176	349	19	6	362	84	—	—	—	—	—	—
2011	22	AA MLE	Richmond Flying Squirrels	—	587	562	125	28	2	7	13	161	6	14	4	222	248	317	565	94	298	27	2	244	51	—	—	—	—	—	—
2011	22	AA RAW	Richmond Flying Squirrels	—	587	553	143	34	2	10	22	129	6	14	4	259	294	382	676	123	320	22	4	299	51	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	531	502	107	19	5	9	17	142	5	14	4	213	246	325	571	112	276	27	3	245	52	—	—	—	—	—	—
2012	23	AAA RAW	2 teams	—	531	498	128	25	7	12	21	101	5	14	4	257	294	408	702	151	298	19	4	306	52	—	—	—	—	—	—
2013	24	AAA MLE	2 teams	—	523	504	134	28	6	12	13	124	1	18	10	266	286	417	702	151	329	24	2	304	92	—	—	—	—	—	—
2013	24	AAA RAW	2 teams	—	523	496	152	32	8	16	21	97	1	18	10	306	336	500	836	194	352	19	4	362	92	—	—	—	—	—	—
2014	25	MLB MLE	Colorado Rockies	—	233	212	39	7	1	3	10	62	5	2	2	184	238	269	507	85	242	27	4	226	39	-17	-0	-0	+1	+5	-1.2
2014	25	MLB RAW	Colorado Rockies	—	233	210	41	7	2	3	12	62	5	2	2	195	256	290	546	95	259	27	5	244	39	-17	-0	-0	+1	+5	-1.2
2015	26	INTL MLE	2 teams	—	112	110	16	4	0	3	0	45	1	1	1	145	153	264	417	118	210	40	0	170	1	—	—	—	—	—	—
2015	26	INTL RAW	2 teams	—	112	97	23	3	0	2	13	22	1	1	1	237	333	330	663	93	288	20	12	305	1	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	353	338	78	17	1	4	13	94	1	7	5	231	261	322	584	92	308	27	4	258	61	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	353	332	89	20	2	5	19	74	1	7	5	268	310	386	695	117	332	21	5	310	61	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	429	406	86	11	3	3	19	92	1	7	3	212	249	276	525	64	266	21	4	232	43	—	—	—	—	—	—
2017	28	AAA RAW	2 teams	—	429	397	98	14	4	4	28	72	1	7	3	247	298	332	631	86	292	17	7	284	43	—	—	—	—	—	—
2018	29	MLB MLE	Atlanta Braves	—	322	301	80	18	2	12	16	85	4	4	2	266	312	458	770	193	332	26	5	338	115	+6	+0	-2	-3	+7	0.7
2018	29	MLB RAW	Atlanta Braves	—	322	296	80	18	2	12	21	85	4	4	2	270	327	466	793	196	340	26	7	349	115	+6	+0	-2	-3	+7	0.7
2019	30	MLB MLE	Atlanta Braves	—	144	135	35	5	2	5	6	44	1	0	1	259	296	437	733	178	345	31	4	318	101	+0	-0	-1	-2	+3	0.1
2019	30	MLB RAW	Atlanta Braves	—	144	135	35	5	2	5	6	44	1	0	1	259	296	437	733	178	345	31	4	318	101	+0	-0	-1	-2	+3	0.1
2021	32	MLB MLE	Texas Rangers	—	271	248	61	16	2	5	16	64	2	7	1	246	297	387	684	141	311	24	6	293	85	-5	+1	+3	+1	+6	0.6
2021	32	MLB RAW	Texas Rangers	—	271	247	60	15	2	5	17	64	2	7	1	243	297	381	678	138	307	24	6	297	85	-5	+1	+3	+1	+6	0.6
2022	33	MLB MLE	Texas Rangers	—	124	115	29	6	0	2	5	31	0	2	3	252	283	357	640	104	329	25	4	276	73	-4	-1	-4	+0	+3	-0.6
2022	33	MLB RAW	Texas Rangers	—	124	115	29	6	0	2	5	31	0	2	3	252	283	357	640	104	329	25	4	277	73	-4	-1	-4	+0	+3	-0.6
2023	34	AAA MLE	Gwinnett Stripers	—	107	100	18	2	0	1	3	42	0	3	1	180	204	230	434	50	279	39	3	180	8	—	—	—	—	—	—
2023	34	AAA RAW	Gwinnett Stripers	—	107	98	20	2	0	1	5	35	0	3	1	204	243	255	498	51	288	33	5	220	8	—	—	—	—	—	—
2007	18	ROK MLE	AZL Giants	—	187	169	37	6	4	1	11	55	5	19	1	219	286	320	606	101	292	29	6	255	59	—	—	—	—	—	—
2008	19	A MLE	Augusta GreenJackets	—	313	291	64	10	2	3	13	76	6	6	6	220	271	299	570	79	274	24	4	243	51	—	—	—	—	—	—
2009	20	A MLE	Augusta GreenJackets	—	558	521	111	15	3	2	22	147	10	15	4	213	259	265	524	52	287	26	4	230	42	—	—	—	—	—	—
2010	21	A+ MLE	2 teams	—	650	610	151	28	3	17	27	161	8	26	9	248	290	387	677	139	301	25	4	293	84	—	—	—	—	—	—
2011	22	AA MLE	Richmond Flying Squirrels	—	587	563	125	28	2	7	13	161	6	14	4	222	248	316	564	94	292	27	2	244	51	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	531	504	107	19	5	9	17	142	5	14	4	212	246	323	570	111	269	27	3	245	52	—	—	—	—	—	—
2013	24	AAA MLE	2 teams	—	523	504	134	28	6	12	13	124	1	18	10	266	286	417	702	151	330	24	2	304	92	—	—	—	—	—	—
2014	25	MLB MLE	Colorado Rockies	—	233	216	39	7	1	3	10	62	5	2	2	181	238	264	502	83	259	27	4	226	39	—	—	—	—	—	—
2015	26	INTL MLE	2 teams	—	112	110	16	4	0	3	0	45	1	1	1	145	153	264	417	118	194	40	0	170	1	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	353	336	78	17	1	4	13	94	1	7	5	232	261	324	586	92	305	27	4	258	61	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	429	406	86	11	3	3	19	92	1	7	3	212	249	276	525	64	263	21	4	232	43	—	—	—	—	—	—
2018	29	MLB MLE	Atlanta Braves	—	322	299	80	18	2	12	16	85	4	4	2	268	312	462	773	194	340	26	5	338	115	—	—	—	—	—	—
2019	30	MLB MLE	Atlanta Braves	—	144	136	35	5	2	5	6	44	1	0	1	257	296	434	730	176	345	31	4	318	101	—	—	—	—	—	—
2021	32	MLB MLE	Texas Rangers	—	271	251	61	16	2	5	16	64	2	7	1	243	297	382	679	139	307	24	6	293	85	—	—	—	—	—	—
2022	33	MLB MLE	Texas Rangers	—	124	118	29	6	0	2	5	31	0	2	3	246	283	347	631	102	329	25	4	276	73	—	—	—	—	—	—
2023	34	AAA MLE	Gwinnett Stripers	—	107	103	18	2	0	1	3	42	0	3	1	175	204	223	427	49	250	39	3	180	8	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1304	1204	299	60	8	30	68	333	12	21	10	248	295	386	681	138	318	26	5	300	63	-17	+0	-7	-1	+28	0.4
/ 162G	—	A+C		—	650	600	149	30	4	15	34	166	6	10	5	248	295	387	682	138	318	26	5	300	63	-9	+0	-4	-0	+14	0.2
Career	—	MLE		—	5444	5116	1171	220	36	89	204	1425	56	145	57	229	266	338	604	109	298	26	4	262	63	-17	+0	-7	-1	+28	0.4
/ 162G	—	MLE		—	650	611	140	26	4	11	24	170	7	17	7	229	266	339	605	110	297	26	4	262	63	-9	+0	-4	-0	+14	0.2

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.

2023 AAAGwinnett Stripers · 107 PAwOBA .222 → .180 (−43)K% 32.7% → 39.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.71%	÷1.005	×1.200	—	—	39.07%
BB% (unintentional) /PA	4.67%	÷0.997	×0.690	—	×0.940	3.04%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	26.98%	÷0.968	×0.930	×0.976	×0.940	23.77%
Doubles /BIP	3.17%	÷0.933	×0.830	×0.976	×0.940	2.59%
Triples /BIP	0.00%	÷0.999	×0.970	×0.976	×0.940	0.00%
Home runs /BIP	1.59%	÷0.984	×0.700	—	×0.940	1.06%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 94, 2B 87, 3B 100, K 101, BB 99 — 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 ×0.976.

Result: wOBA .222 → .180; ISO .051 → .036; BABIP .288 → .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).

2017 AAAOklahoma City Dodgers · 414 PAwOBA .277 → .231 (−46)K% 16.4% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.43%	÷1.000	×1.290	—	—	21.19%
BB% (unintentional) /PA	5.80%	÷1.017	×0.710	—	×0.992	4.01%
HBP% /PA	0.24%	—	×0.980	—	×0.992	0.23%
Singles /BIP	23.73%	÷0.978	×0.900	×1.018	×0.992	22.06%
Doubles /BIP	4.11%	÷1.038	×0.810	×1.018	×0.992	3.24%
Triples /BIP	1.27%	÷1.150	×0.810	×1.018	×0.992	0.90%
Home runs /BIP	1.27%	÷0.989	×0.780	—	×0.992	0.99%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 96, 2B 108, 3B 130, K 100, BB 103 — 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 ×1.018.

Result: wOBA .277 → .231; ISO .086 → .064; BABIP .294 → .264. 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 AAAOklahoma City Dodgers · 285 PAwOBA .302 → .244 (−57)K% 21.4% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.40%	÷0.972	×1.290	—	—	28.39%
BB% (unintentional) /PA	6.32%	÷1.059	×0.710	—	×1.003	4.25%
HBP% /PA	0.35%	—	×0.980	—	×1.003	0.34%
Singles /BIP	22.55%	÷1.017	×0.900	×1.038	×1.003	20.78%
Doubles /BIP	8.33%	÷0.975	×0.810	×1.038	×1.003	7.21%
Triples /BIP	0.98%	÷1.104	×0.810	×1.038	×1.003	0.75%
Home runs /BIP	1.96%	÷0.947	×0.780	—	×1.003	1.62%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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 ×1.038.

Result: wOBA .302 → .244; ISO .125 → .098; BABIP .325 → .292. 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 AAAAlbuquerque Isotopes · 20 PAwOBA .250 → .170 (−80)K% 30.0% → 40.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷0.960	×1.290	—	—	40.32%
BB% (unintentional) /PA	0.00%	÷1.056	×0.710	—	×1.018	0.00%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	14.29%	÷1.010	×0.900	—	×1.018	12.96%
Doubles /BIP	7.14%	÷1.075	×0.810	—	×1.018	5.48%
Triples /BIP	0.00%	÷0.933	×0.810	—	×1.018	0.00%
Home runs /BIP	7.14%	÷1.105	×0.780	—	×1.018	5.13%

Factors used: league row PCL. Park (home-season share, regressed): HR 121, 1B 102, 2B 115, 3B 87, K 92, BB 111 — 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).

Result: wOBA .250 → .170; ISO .200 → .125; BABIP .231 → .194. 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 AAAColorado Springs Sky Sox · 419 PAwOBA .362 → .305 (−56)K% 17.7% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.66%	÷0.941	×1.290	—	—	24.22%
BB% (unintentional) /PA	3.34%	÷1.000	×0.710	—	×1.048	2.49%
HBP% /PA	0.24%	—	×0.980	—	×1.048	0.25%
Singles /BIP	22.91%	÷1.031	×0.900	×1.036	×1.048	21.70%
Doubles /BIP	8.36%	÷0.967	×0.810	×1.036	×1.048	7.60%
Triples /BIP	2.48%	÷1.071	×0.810	×1.036	×1.048	2.03%
Home runs /BIP	4.33%	÷1.022	×0.780	—	×1.048	3.47%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 106, 2B 93, 3B 114, K 88, BB 100 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .362 → .305; ISO .214 → .170; BABIP .350 → .322. 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 AAAColorado Springs Sky Sox · 508 PAwOBA .309 → .251 (−58)K% 18.5% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.50%	÷0.898	×1.290	—	—	26.59%
BB% (unintentional) /PA	4.13%	÷0.927	×0.710	—	×1.050	3.32%
HBP% /PA	0.98%	—	×0.980	—	×1.050	1.01%
Singles /BIP	21.20%	÷1.006	×0.900	×1.012	×1.050	20.14%
Doubles /BIP	6.54%	÷1.068	×0.810	×1.012	×1.050	5.27%
Triples /BIP	1.83%	÷1.150	×0.810	×1.012	×1.050	1.37%
Home runs /BIP	3.14%	÷0.996	×0.780	—	×1.050	2.58%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 101, 2B 114, 3B 130, K 80, BB 85 — 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 ×1.012.

Result: wOBA .309 → .251; ISO .158 → .116; BABIP .302 → .272. 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 AARichmond Flying Squirrels · 587 PAwOBA .289 → .244 (−45)K% 22.0% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.98%	÷0.974	×1.220	—	—	27.52%
BB% (unintentional) /PA	3.24%	÷1.081	×0.700	—	×1.042	2.18%
HBP% /PA	1.02%	—	×0.850	—	×1.042	0.91%
Singles /BIP	22.88%	÷1.075	×0.970	×1.003	×1.042	21.57%
Doubles /BIP	8.02%	÷1.048	×0.860	×1.003	×1.042	6.87%
Triples /BIP	0.47%	÷1.140	×0.950	×1.003	×1.042	0.41%
Home runs /BIP	2.36%	÷1.081	×0.780	—	×1.042	1.77%

Factors used: league row EL. Park (home-season share, regressed): HR 116, 1B 115, 2B 110, 3B 128, K 95, BB 116 — 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 ×1.003.

Result: wOBA .289 → .244; ISO .123 → .096; BABIP .320 → .292. 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 A+San Jose Giants · 551 PAwOBA .344 → .293 (−51)K% 18.0% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.97%	÷0.972	×1.340	—	—	24.76%
BB% (unintentional) /PA	5.63%	÷0.990	×0.710	—	×1.027	4.14%
HBP% /PA	1.45%	—	×0.790	—	×1.027	1.18%
Singles /BIP	24.26%	÷0.980	×0.910	×0.980	×1.027	22.66%
Doubles /BIP	6.93%	÷0.939	×0.820	×0.980	×1.027	6.09%
Triples /BIP	0.99%	÷1.085	×0.760	×0.980	×1.027	0.70%
Home runs /BIP	3.96%	÷1.016	×0.920	—	×1.027	3.68%

Factors used: league row CAL. Park (home-season share, regressed): HR 103, 1B 96, 2B 88, 3B 117, K 94, BB 98 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .344 → .293; ISO .167 → .142; BABIP .330 → .301. 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 — .