Craig Gentry

PosCF

B/TR/R

Born1983-11-29

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	32	AAA/A+2 orgs	65	.170/.312/.208	0	6	17	—	.141/.233/.177
2016	32	MLBLAA	39	.147/.237/.176	0	0	21	-0.3
2017	33	AAABAL	162	.243/.309/.331	1	6	43	—	.204/.253/.283
2017	33	MLBBAL	117	.257/.336/.386	2	5	97	-0.1
2018	34	MLBBAL	169	.269/.321/.346	1	12	88	0.3
2019	35	No MLB games played
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR -0.2

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed87

xwOBA37

Barrel%10

Avg EV10

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	23	A+	Bakersfield Blaze	—	235	213	58	16	1	1	12	46	6	16	7	272	329	371	700	99	337	20	5	312	55	—	—	—	—	—	—
2007	23	A	Clinton LumberKings	—	248	223	61	15	0	3	15	37	7	24	3	274	339	381	720	108	312	15	6	323	65	—	—	—	—	—	—
2008	24	AAA	Oklahoma RedHawks	—	69	59	12	1	0	0	9	18	0	1	0	203	309	220	529	17	293	26	13	254	25	—	—	—	—	—	—
2008	24	AA	Frisco RoughRiders	—	336	301	83	17	0	4	17	55	11	16	8	276	337	372	709	96	321	16	5	316	68	—	—	—	—	—	—
2009	25	MLB	Texas Rangers	—	19	17	2	1	0	0	2	5	0	0	0	118	211	176	387	59	167	26	11	189	14	-2	+0	-0	+2	+0	0.0
2009	25	AA	Frisco RoughRiders	—	588	512	155	21	7	8	49	64	16	49	6	303	381	418	799	115	330	11	8	355	92	—	—	—	—	—	—
2010	26	MLB	Texas Rangers	—	35	33	7	0	0	0	1	11	0	1	0	212	235	212	447		304	31	3	201	20	-3	+0	+1	+1	+1	-0.0
2010	26	AAA	Oklahoma City RedHawks	—	301	259	80	7	4	4	29	47	8	12	5	309	395	413	808	104	362	16	10	361	84	—	—	—	—	—	—
2011	27	MLB	Texas Rangers	—	153	133	36	5	1	1	10	27	6	18	0	271	349	346	695	75	330	18	7	312	89	-2	+4	+8	+1	+3	1.4
2011	27	AAA	Round Rock Express	—	124	110	27	5	1	1	11	17	2	5	1	245	323	336	659	91	283	14	9	301	46	—	—	—	—	—	—
2011	27	INTL	Leones del Escogido	—	50	43	7	1	1	0	5	10	2	0	1	163	280	233	513	70	212	20	10	248	54	—	—	—	—	—	—
2012	28	MLB	Texas Rangers	—	269	240	73	12	3	1	14	41	10	13	7	304	367	392	759	88	364	15	5	338	108	+2	-0	+11	+1	+6	2.0
2013	29	MLB	Texas Rangers	—	287	246	69	12	4	2	29	46	8	24	3	280	375	386	761	106	337	16	10	342	107	+2	+4	+10	+1	+6	2.4
2013	29	AA	Frisco RoughRiders	—	15	13	3	1	0	0	1	3	0	0	0	231	286	308	593	77	273	20	7	253	40	—	—	—	—	—	—
2014	30	MLB	Oakland Athletics	—	258	232	59	6	1	0	17	44	5	20	2	254	316	289	605	34	314	17	7	279	71	-9	+3	+3	+1	+6	0.4
2014	30	AAA	Sacramento River Cats	—	18	15	4	0	0	0	1	4	0	0	0	267	312	267	579		308	22	6	240	53	—	—	—	—	—	—
2015	31	MLB	Oakland Athletics	—	56	50	6	0	2	0	4	15	1	1	1	120	200	200	400	80	167	27	7	185	12	-6	-0	-2	+2	+1	-0.5
2015	31	AAA	Nashville Sounds	—	450	398	102	13	0	5	36	76	3	25	7	256	320	327	646	70	301	17	8	290	55	—	—	—	—	—	—
2016	32	MLB	Los Angeles Angels	—	39	34	5	1	0	0	3	6	1	0	0	147	237	176	413	29	179	15	8	198	21	-4	+0	+1	-1	+1	-0.3
2016	32	AAA	Salt Lake Bees	—	37	31	4	1	0	0	5	8	0	4	0	129	250	161	411	32	167	22	14	202	-13	—	—	—	—	—	—
2016	32	A+	Inland Empire 66ers	—	28	22	5	1	0	0	5	4	1	2	0	227	393	273	666	45	278	14	18	326	56	—	—	—	—	—	—
2017	33	MLB	Baltimore Orioles	—	117	101	26	5	1	2	11	24	1	5	4	257	336	386	722	129	316	21	9	315	97	-0	-1	+0	-3	+3	-0.1
2017	33	AAA	Norfolk Tides	—	162	148	36	6	2	1	11	36	3	6	3	243	309	331	640	88	315	22	7	292	43	—	—	—	—	—	—
2018	34	MLB	Baltimore Orioles	—	169	156	42	5	2	1	11	31	1	12	3	269	321	346	668	77	331	18	7	301	88	-2	+1	+2	-2	+4	0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1402	1242	325	47	14	7	102	250	33	94	20	262	334	339	673	77	321	18	7	304	92	-14	+11	+33	+3	+30	6.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	23	A+ MLE	Bakersfield Blaze	—	235	217	48	12	1	1	8	62	6	16	7	221	268	300	568	78	293	26	3	249	55	—	—	—	—	—	—
2007	23	A MLE	Clinton LumberKings	—	248	228	53	12	0	2	10	50	7	24	3	232	286	311	597	79	279	20	4	265	65	—	—	—	—	—	—
2008	24	AAA MLE	Oklahoma RedHawks	—	69	61	11	1	0	0	7	23	0	1	0	180	265	197	461	16	270	33	10	205	25	—	—	—	—	—	—
2008	24	AA MLE	Frisco RoughRiders	—	336	307	74	14	0	3	11	67	11	16	8	241	292	316	608	75	287	20	3	269	68	—	—	—	—	—	—
2009	25	MLB MLE	Texas Rangers	—	19	17	2	1	0	0	2	5	0	0	0	118	211	176	387	59	167	26	11	189	14	-2	+0	-0	+2	+0	0.0
2009	25	AA MLE	Frisco RoughRiders	—	588	528	143	18	7	7	33	78	16	49	6	271	333	371	704	100	295	13	6	304	92	—	—	—	—	—	—
2010	26	MLB MLE	Texas Rangers	—	35	33	7	0	0	0	1	11	0	1	0	212	235	212	447		304	31	3	198	20	-3	+0	+1	+1	+1	-0.0
2010	26	AAA MLE	Oklahoma City RedHawks	—	301	268	68	6	3	3	20	62	8	12	5	254	324	332	656	78	310	21	7	293	84	—	—	—	—	—	—
2011	27	MLB MLE	Texas Rangers	—	153	134	36	5	1	1	9	27	6	18	0	269	342	343	686	75	330	18	6	300	89	-2	+4	+8	+1	+3	1.4
2011	27	AAA MLE	Round Rock Express	—	124	114	23	4	1	1	8	22	2	5	1	202	266	281	547	79	239	18	6	236	46	—	—	—	—	—	—
2012	28	MLB MLE	Texas Rangers	—	269	241	72	11	3	1	13	41	10	13	7	299	360	382	742	83	364	15	5	327	108	+2	-0	+11	+1	+6	2.0
2013	29	MLB MLE	Texas Rangers	—	287	248	68	11	4	2	27	46	8	24	3	274	364	375	739	101	337	16	9	326	107	+2	+4	+10	+1	+6	2.4
2013	29	AA MLE	Frisco RoughRiders	—	15	13	3	1	0	0	1	4	0	0	0	231	286	308	593	77	241	27	7	227	40	—	—	—	—	—	—
2014	30	MLB MLE	Oakland Athletics	—	258	236	59	6	1	0	15	44	5	20	2	250	309	284	592	34	314	17	6	273	71	-9	+3	+3	+1	+6	0.4
2014	30	AAA MLE	Sacramento River Cats	—	18	15	4	0	0	0	1	5	0	0	0	267	312	267	579		277	28	6	246	53	—	—	—	—	—	—
2015	31	MLB MLE	Oakland Athletics	—	56	50	6	0	2	0	4	15	1	1	1	120	200	200	400	80	167	27	7	187	12	-6	-0	-2	+2	+1	-0.5
2015	31	AAA MLE	Nashville Sounds	—	450	414	94	10	0	4	24	95	3	25	7	227	274	280	555	53	274	21	5	249	55	—	—	—	—	—	—
2016	32	MLB MLE	Los Angeles Angels	—	39	34	5	1	0	0	3	6	1	0	0	147	237	176	413	29	179	15	8	200	21	-4	+0	+1	-1	+1	-0.3
2016	32	AAA MLE	Salt Lake Bees	—	37	33	3	1	0	0	3	11	0	4	0	91	167	121	288	30	134	30	8	149	-13	—	—	—	—	—	—
2016	32	A+ MLE	Inland Empire 66ers	—	28	24	5	1	0	0	3	5	1	2	0	208	321	250	571	42	238	18	11	251	56	—	—	—	—	—	—
2017	33	MLB MLE	Baltimore Orioles	—	117	101	26	5	1	2	11	24	1	5	4	257	336	386	722	129	316	21	9	311	97	-0	-1	+0	-3	+3	-0.1
2017	33	AAA MLE	Norfolk Tides	—	162	152	31	5	2	1	7	43	3	6	3	204	253	283	536	79	274	27	4	232	43	—	—	—	—	—	—
2018	34	MLB MLE	Baltimore Orioles	—	169	156	42	5	2	1	11	31	1	12	3	269	321	346	668	77	331	18	7	299	88	-2	+1	+2	-2	+4	0.3
2007	23	A MLE	2 teams	—	483	444	102	25	1	3	19	112	13	40	10	230	282	311	592	81	296	23	4	257	60	—	—	—	—	—	—
2007	23	A RAW	2 teams	—	483	436	119	31	1	4	27	83	13	40	10	273	334	376	710	103	324	17	6	317	60	—	—	—	—	—	—
2008	24	AA MLE	2 teams	—	405	368	85	15	0	3	18	90	11	17	8	231	287	296	583	65	294	22	4	258	61	—	—	—	—	—	—
2008	24	AA RAW	2 teams	—	405	360	95	18	0	4	26	73	11	17	8	264	332	347	680	83	317	18	6	305	61	—	—	—	—	—	—
2009	25	AA MLE	2 teams	—	607	545	145	19	7	7	35	83	16	49	6	266	329	365	694	99	300	14	6	300	89	—	—	—	—	—	—
2009	25	AA RAW	2 teams	—	607	529	157	22	7	8	51	69	16	49	6	297	376	410	786	113	326	11	8	349	89	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	336	301	75	6	3	3	21	73	8	13	5	249	315	319	634	70	316	22	6	283	78	—	—	—	—	—	—
2010	26	AAA RAW	2 teams	—	336	292	87	7	4	4	30	58	8	13	5	298	379	390	769	92	356	17	9	344	78	—	—	—	—	—	—
2011	27	MLB MLE	3 teams	—	327	293	68	10	2	2	20	58	10	23	2	232	303	300	604	68	282	18	6	271	70	-12	+4	+8	+1	+7	0.8
2011	27	MLB RAW	3 teams	—	327	286	70	11	3	2	26	54	10	23	2	245	328	325	653	80	294	17	8	298	70	-12	+4	+8	+1	+7	0.8
2012	28	MLB MLE	Texas Rangers	—	269	241	72	11	3	1	13	41	10	13	7	299	360	382	742	83	357	15	5	327	108	+2	-0	+11	+1	+6	2.0
2012	28	MLB RAW	Texas Rangers	—	269	240	73	12	3	1	14	41	10	13	7	304	367	392	759	88	364	15	5	338	108	+2	-0	+11	+1	+6	2.0
2013	29	MLB MLE	2 teams	—	302	261	71	12	4	2	28	50	8	24	3	272	360	372	732	100	327	17	9	322	104	+1	+4	+10	+1	+7	2.3
2013	29	MLB RAW	2 teams	—	302	259	72	13	4	2	30	49	8	24	3	278	370	382	753	104	333	16	10	338	104	+1	+4	+10	+1	+7	2.3
2014	30	MLB MLE	2 teams	—	276	251	63	6	1	0	16	49	5	20	2	251	309	283	592	32	309	18	6	272	70	-10	+3	+3	+1	+6	0.3
2014	30	MLB RAW	2 teams	—	276	247	63	6	1	0	18	48	5	20	2	255	316	287	604	32	313	17	7	276	70	-10	+3	+3	+1	+6	0.3
2015	31	AAA MLE	2 teams	—	506	464	100	10	2	4	28	110	4	26	8	216	266	272	538	56	270	22	6	242	50	—	—	—	—	—	—
2015	31	AAA RAW	2 teams	—	506	448	108	13	2	5	40	91	4	26	8	241	306	312	619	71	288	18	8	278	50	—	—	—	—	—	—
2016	32	MLB MLE	3 teams	—	104	90	13	3	0	0	10	22	2	6	0	144	245	178	423	33	188	21	10	195	18	-10	+1	+1	-1	+2	-0.7
2016	32	MLB RAW	3 teams	—	104	87	14	3	0	0	13	18	2	6	0	161	284	195	480	34	200	17	12	234	18	-10	+1	+1	-1	+2	-0.7
2017	33	AAA MLE	2 teams	—	279	253	57	10	3	3	18	67	4	11	7	225	287	324	611	99	293	24	6	265	66	—	—	—	—	—	—
2017	33	AAA RAW	2 teams	—	279	249	62	11	3	3	22	60	4	11	7	249	320	353	673	104	316	22	8	302	66	—	—	—	—	—	—
2018	34	MLB MLE	Baltimore Orioles	—	169	156	42	5	2	1	11	31	1	12	3	269	321	346	668	77	331	18	7	299	88	-2	+1	+2	-2	+4	0.3
2018	34	MLB RAW	Baltimore Orioles	—	169	156	42	5	2	1	11	31	1	12	3	269	321	346	668	77	331	18	7	301	88	-2	+1	+2	-2	+4	0.3
2007	23	A MLE	2 teams	—	483	448	102	25	1	3	19	112	13	40	10	228	282	308	590	80	286	23	4	257	60	—	—	—	—	—	—
2008	24	AA MLE	2 teams	—	405	373	85	15	0	3	18	90	11	17	8	228	287	292	579	64	284	22	4	258	61	—	—	—	—	—	—
2009	25	AA MLE	2 teams	—	607	551	145	19	7	7	35	83	16	49	6	263	329	361	690	98	291	14	6	300	89	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	336	304	75	6	3	3	21	73	8	13	5	247	315	316	631	69	309	22	6	283	78	—	—	—	—	—	—
2011	27	MLB MLE	3 teams	—	327	294	68	10	2	2	20	58	10	23	2	231	303	299	603	68	289	18	6	271	70	—	—	—	—	—	—
2012	28	MLB MLE	Texas Rangers	—	269	244	72	11	3	1	13	41	10	13	7	295	360	377	737	82	364	15	5	327	108	—	—	—	—	—	—
2013	29	MLB MLE	2 teams	—	302	263	71	12	4	2	28	50	8	24	3	270	360	369	729	99	332	17	9	322	104	—	—	—	—	—	—
2014	30	MLB MLE	2 teams	—	276	253	63	6	1	0	16	49	5	20	2	249	309	281	589	32	311	18	6	272	70	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	506	469	100	10	2	4	28	110	4	26	8	213	266	269	535	55	262	22	6	242	50	—	—	—	—	—	—
2016	32	MLB MLE	3 teams	—	104	91	13	3	0	0	10	22	2	6	0	143	245	176	421	33	179	21	10	195	18	—	—	—	—	—	—
2017	33	AAA MLE	2 teams	—	279	255	57	10	3	3	18	67	4	11	7	224	287	322	609	98	292	24	6	265	66	—	—	—	—	—	—
2018	34	MLB MLE	Baltimore Orioles	—	169	155	42	5	2	1	11	31	1	12	3	271	321	348	670	77	331	18	7	299	88	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1402	1242	325	47	14	7	102	250	33	94	20	262	334	339	673	77	321	18	7	304	73	-14	+11	+33	+3	+30	6.4
/ 162G	—	A+C		—	650	576	150	22	6	3	47	116	15	44	9	260	331	335	666	75	320	18	7	304	73	-7	+5	+15	+2	+14	3.0
Career	—	MLE		—	4063	3667	893	132	28	29	237	786	92	254	61	244	306	319	624	75	300	19	6	276	73	-14	+11	+33	+3	+30	6.4
/ 162G	—	MLE		—	650	587	143	21	4	5	38	126	15	41	10	244	307	319	625	75	299	19	6	276	73	-7	+5	+15	+2	+14	3.0

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 AAANorfolk Tides · 162 PAwOBA .285 → .232 (−53)K% 22.2% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.995	×1.200	—	—	26.81%
BB% (unintentional) /PA	6.79%	÷0.948	×0.690	—	×0.940	4.64%
HBP% /PA	1.85%	—	×0.940	—	×0.940	1.64%
Singles /BIP	24.11%	÷0.989	×0.930	×1.011	×0.940	21.53%
Doubles /BIP	5.36%	÷1.001	×0.830	×1.011	×0.940	4.22%
Triples /BIP	1.79%	÷1.150	×0.970	×1.011	×0.940	1.43%
Home runs /BIP	0.89%	÷0.866	×0.840	—	×0.940	0.81%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 98, 2B 100, 3B 130, K 99, BB 90 — 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 ×1.011.

Result: wOBA .285 → .232; ISO .088 → .070; BABIP .315 → .274. 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 AAASalt Lake Bees · 37 PAwOBA .204 → .149 (−55)K% 21.6% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷0.969	×1.290	—	—	28.79%
BB% (unintentional) /PA	13.51%	÷1.021	×0.710	—	×0.942	8.86%
HBP% /PA	0.00%	—	×0.980	—	×0.942	0.00%
Singles /BIP	13.04%	÷1.033	×0.900	—	×0.942	10.70%
Doubles /BIP	4.35%	÷1.020	×0.810	—	×0.942	3.25%
Triples /BIP	0.00%	÷1.137	×0.810	—	×0.942	0.00%
Home runs /BIP	0.00%	÷1.035	×0.780	—	×0.942	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 104, 3B 127, K 94, BB 104 — 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 .204 → .149; ISO .032 → .024; BABIP .167 → .134. 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 A+Inland Empire 66ers · 28 PAwOBA .319 → .251 (−69)K% 14.3% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.009	×1.340	—	—	18.97%
BB% (unintentional) /PA	17.86%	÷0.998	×0.710	—	×0.940	11.94%
HBP% /PA	3.57%	—	×0.790	—	×0.940	2.65%
Singles /BIP	22.22%	÷0.968	×0.910	—	×0.940	19.64%
Doubles /BIP	5.56%	÷1.034	×0.820	—	×0.940	4.14%
Triples /BIP	0.00%	÷1.150	×0.760	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.873	×0.920	—	×0.940	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 75, 1B 94, 2B 107, 3B 130, K 102, BB 100 — applied at half strength. Age: age 33 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (10.2 yr older than average).

Result: wOBA .319 → .251; ISO .045 → .035; BABIP .278 → .238. 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 AAANashville Sounds · 450 PAwOBA .286 → .249 (−37)K% 16.9% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.89%	÷1.034	×1.290	—	—	21.06%
BB% (unintentional) /PA	8.00%	÷1.018	×0.710	—	×0.952	5.31%
HBP% /PA	0.67%	—	×0.980	—	×0.952	0.62%
Singles /BIP	26.09%	÷0.953	×0.900	×1.042	×0.952	24.44%
Doubles /BIP	4.04%	÷1.063	×0.810	×1.042	×0.952	3.05%
Triples /BIP	0.00%	÷0.952	×0.810	×1.042	×0.952	0.00%
Home runs /BIP	1.55%	÷0.843	×0.780	—	×0.952	1.37%

Factors used: league row PCL. Park (home-season share, regressed): HR 69, 1B 91, 2B 113, 3B 90, K 107, BB 104 — 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 ×1.042.

Result: wOBA .286 → .249; ISO .070 → .059; BABIP .301 → .274. 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 AAASacramento River Cats · 18 PAwOBA .263 → .246 (−17)K% 22.2% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.998	×1.290	—	—	28.73%
BB% (unintentional) /PA	5.56%	÷0.953	×0.710	—	×0.962	3.98%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	36.36%	÷0.975	×0.900	—	×0.962	32.30%
Doubles /BIP	0.00%	÷0.929	×0.810	—	×0.962	0.00%
Triples /BIP	0.00%	÷1.072	×0.810	—	×0.962	0.00%
Home runs /BIP	0.00%	÷1.092	×0.780	—	×0.962	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 95, 2B 86, 3B 114, K 100, BB 91 — 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).

Result: wOBA .263 → .246; ISO .000 → .000; BABIP .308 → .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 AAFrisco RoughRiders · 15 PAwOBA .264 → .227 (−37)K% 20.0% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.984	×1.220	—	—	24.80%
BB% (unintentional) /PA	6.67%	÷1.162	×0.700	—	×0.948	3.81%
HBP% /PA	0.00%	—	×0.870	—	×0.948	0.00%
Singles /BIP	20.00%	÷0.933	×0.920	—	×0.948	18.70%
Doubles /BIP	10.00%	÷1.035	×0.840	—	×0.948	7.69%
Triples /BIP	0.00%	÷0.986	×0.940	—	×0.948	0.00%
Home runs /BIP	0.00%	÷1.114	×0.800	—	×0.948	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 123, 1B 87, 2B 107, 3B 97, K 97, BB 132 — 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).

Result: wOBA .264 → .227; ISO .077 → .063; BABIP .273 → .241. 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 AAARound Rock Express · 124 PAwOBA .294 → .236 (−58)K% 13.7% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.71%	÷0.976	×1.290	—	—	18.12%
BB% (unintentional) /PA	8.87%	÷1.004	×0.710	—	×0.992	6.22%
HBP% /PA	1.61%	—	×0.980	—	×0.992	1.57%
Singles /BIP	21.51%	÷1.002	×0.900	×0.972	×0.992	18.64%
Doubles /BIP	5.38%	÷0.970	×0.810	×0.972	×0.992	4.33%
Triples /BIP	1.08%	÷1.150	×0.810	×0.972	×0.992	0.73%
Home runs /BIP	1.08%	÷1.087	×0.780	—	×0.992	0.77%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 100, 2B 94, 3B 130, K 95, BB 101 — 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 ×0.972.

Result: wOBA .294 → .236; ISO .091 → .068; BABIP .283 → .239. 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 AAAOklahoma City RedHawks · 301 PAwOBA .354 → .293 (−62)K% 15.6% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.61%	÷0.974	×1.290	—	—	20.67%
BB% (unintentional) /PA	9.63%	÷1.015	×0.710	—	×1.003	6.76%
HBP% /PA	2.66%	—	×0.980	—	×1.003	2.61%
Singles /BIP	30.66%	÷1.070	×0.900	×1.030	×1.003	26.63%
Doubles /BIP	3.30%	÷0.996	×0.810	×1.030	×1.003	2.77%
Triples /BIP	1.89%	÷1.150	×0.810	×1.030	×1.003	1.37%
Home runs /BIP	1.89%	÷0.936	×0.780	—	×1.003	1.58%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 114, 2B 99, 3B 130, K 95, BB 103 — 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 ×1.030.

Result: wOBA .354 → .293; ISO .104 → .083; BABIP .362 → .310. 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 — .