Travis Ishikawa

Pos1B

B/TL/L

Born1983-09-24

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	30	AAACOL	273	.272/.358/.448	11	0	70	—	.214/.280/.339
2014	30	MLBSF	119	.252/.316/.393	3	0	98	-0.4
2015	31	AAAPIT	157	.271/.346/.429	4	0	65	—	.212/.263/.342
2015	31	MLBPIT	72	.206/.306/.302	1	0	78	-0.5
2016	32	AAASF	483	.237/.324/.405	18	0	47	—	.182/.246/.294
2017	33	No MLB games played
2018	34	No MLB games played
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 -1.0

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)
2005	21	A+	San Jose Giants	—	516	432	122	28	7	22	70	129	7	1	4	282	391	532	923	250	350	25	14	399	101	—	—	—	—	—	—
2006	22	MLB	San Francisco Giants	—	25	24	7	3	1	0	1	6	0	0	0	292	320	500	820	208	389	24	4	355	127	+1	+0	-1	-7	+1	-0.7
2006	22	AA	Connecticut Defenders	—	340	298	69	13	4	10	35	88	3	0	0	232	318	403	721	171	291	26	10	319	67	—	—	—	—	—	—
2007	23	AA	Connecticut Defenders	—	192	173	37	3	1	3	17	48	2	0	0	214	292	295	586	81	279	25	9	272	41	—	—	—	—	—	—
2007	23	A+	San Jose Giants	—	222	198	53	15	1	13	19	78	4	0	0	268	344	551	894	283	370	35	9	387	70	—	—	—	—	—	—
2008	24	MLB	San Francisco Giants	—	104	95	26	6	0	3	9	27	0	1	0	274	337	432	768	158	354	26	9	342	113	+2	+0	+1	-10	+2	-0.5
2008	24	AAA	Fresno Grizzlies	—	192	171	53	19	3	16	14	36	4	0	1	310	376	737	1.113	427	303	19	7	463	132	—	—	—	—	—	—
2008	24	AA	Connecticut Defenders	—	277	234	68	16	0	8	35	45	2	10	4	291	387	462	849	171	324	16	13	371	105	—	—	—	—	—	—
2009	25	MLB	San Francisco Giants	—	363	326	85	10	2	9	30	89	4	2	2	261	331	387	717	126	330	25	8	321	100	-0	-0	+4	-6	+8	0.5
2010	26	MLB	San Francisco Giants	—	173	158	42	11	0	3	13	29	0	0	0	266	322	392	714	127	307	17	8	317	98	-0	+0	-1	-3	+4	-0.1
2011	27	AAA	Fresno Grizzlies	—	211	175	44	14	0	3	29	54	4	3	1	251	370	383	753	131	345	26	14	340	62	—	—	—	—	—	—
2012	28	MLB	Milwaukee Brewers	—	174	152	39	12	1	4	13	42	4	0	0	257	331	428	759	171	327	24	7	329	104	+1	+0	-4	-3	+4	-0.3
2012	28	AAA	Nashville Sounds	—	21	18	4	3	0	0	3	2	0	0	0	222	333	389	722	167	250	10	14	326	60	—	—	—	—	—	—
2013	29	MLB	New York Yankees	—	20	19	2	0	0	0	1	10	0	0	0	105	150	105	255		222	50	5	125	-29	-3	+0	-0	-7	+0	-1.0
2013	29	AAA	Charlotte Knights	—	348	297	86	21	2	9	44	74	5	1	0	290	390	465	855	175	358	21	13	380	101	—	—	—	—	—	—
2014	30	MLB	San Francisco Giants	—	119	107	27	4	1	3	9	34	1	0	0	252	316	393	709	140	333	29	8	313	98	-0	+0	+1	-7	+3	-0.4
2014	30	AAA	Fresno Grizzlies	—	273	239	65	9	0	11	26	61	6	0	0	272	358	448	806	176	320	22	10	358	70	—	—	—	—	—	—
2015	31	MLB	Pittsburgh Pirates	—	72	63	13	3	0	1	9	20	0	0	0	206	306	302	607	95	286	28	12	283	78	-2	+0	-1	-4	+2	-0.5
2015	31	AAA	Indianapolis Indians	—	157	140	38	10	0	4	14	43	2	0	0	271	346	429	775	157	362	27	9	345	65	—	—	—	—	—	—
2016	32	AAA	Sacramento River Cats	—	483	422	100	17	0	18	43	135	11	0	1	237	324	405	729	168	299	28	9	323	47	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1050	944	241	49	5	23	85	257	9	3	2	255	323	391	714	136	325	24	8	317	101	+1	-0	-2	-47	+23	-2.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	A+ MLE	San Jose Giants	—	516	454	103	22	5	20	48	173	7	1	4	227	310	430	740	203	302	34	9	317	101	—	—	—	—	—	—
2006	22	MLB MLE	San Francisco Giants	—	25	24	7	3	1	0	1	6	0	0	0	292	320	500	820	208	389	24	4	355	127	+1	+0	-1	-7	+1	-0.7
2006	22	AA MLE	Connecticut Defenders	—	340	310	64	11	4	8	23	107	3	0	0	206	268	345	613	139	275	31	7	267	67	—	—	—	—	—	—
2007	23	AA MLE	Connecticut Defenders	—	192	178	35	3	1	2	12	59	2	0	0	197	255	258	514	62	274	31	6	229	41	—	—	—	—	—	—
2007	23	A+ MLE	San Jose Giants	—	222	204	39	10	1	10	13	105	4	0	0	191	253	397	650	206	305	47	6	272	70	—	—	—	—	—	—
2008	24	MLB MLE	San Francisco Giants	—	104	96	26	6	0	3	8	27	0	1	0	271	327	427	754	156	354	26	8	336	113	+2	+0	+1	-10	+2	-0.5
2008	24	AAA MLE	Fresno Grizzlies	—	192	175	43	15	2	13	10	46	4	0	1	246	302	577	879	331	248	24	5	364	132	—	—	—	—	—	—
2008	24	AA MLE	Connecticut Defenders	—	277	247	66	14	0	7	22	55	2	10	4	267	332	409	741	142	303	20	8	323	105	—	—	—	—	—	—
2009	25	MLB MLE	San Francisco Giants	—	363	329	85	10	2	9	27	89	4	2	2	258	322	383	705	125	330	25	7	315	100	-0	-0	+4	-6	+8	0.5
2010	26	MLB MLE	San Francisco Giants	—	173	160	42	11	0	3	11	29	0	0	0	263	310	388	697	125	307	17	6	313	98	-0	+0	-1	-3	+4	-0.1
2011	27	AAA MLE	Fresno Grizzlies	—	211	187	37	11	0	2	17	68	4	3	1	198	279	289	568	91	290	32	8	260	62	—	—	—	—	—	—
2012	28	MLB MLE	Milwaukee Brewers	—	174	155	40	13	1	4	10	42	4	0	0	258	320	432	752	174	327	24	6	322	104	+1	+0	-4	-3	+4	-0.3
2012	28	AAA MLE	Nashville Sounds	—	21	19	4	3	0	0	2	3	0	0	0	211	286	368	654	158	210	14	10	257	60	—	—	—	—	—	—
2013	29	MLB MLE	New York Yankees	—	20	19	2	0	0	0	1	10	0	0	0	105	150	105	255		222	50	5	125	-29	-3	+0	-0	-7	+0	-1.0
2013	29	AAA MLE	Charlotte Knights	—	348	312	79	18	2	8	29	87	5	1	0	253	327	401	727	147	321	25	8	318	101	—	—	—	—	—	—
2014	30	MLB MLE	San Francisco Giants	—	119	108	27	4	1	3	8	34	1	0	0	250	308	389	697	139	333	29	7	313	98	-0	+0	+1	-7	+3	-0.4
2014	30	AAA MLE	Fresno Grizzlies	—	273	248	53	7	0	8	17	79	6	0	0	214	280	339	619	125	272	29	6	271	70	—	—	—	—	—	—
2015	31	MLB MLE	Pittsburgh Pirates	—	72	63	13	3	0	1	9	20	0	0	0	206	306	302	607	95	286	28	12	283	78	-2	+0	-1	-4	+2	-0.5
2015	31	AAA MLE	Indianapolis Indians	—	157	146	31	7	0	4	8	53	2	0	0	212	263	342	605	130	300	34	5	265	65	—	—	—	—	—	—
2016	32	AAA MLE	Sacramento River Cats	—	483	439	80	13	0	12	26	169	11	0	1	182	246	294	540	112	249	35	5	238	47	—	—	—	—	—	—
2005	21	A+ MLE	San Jose Giants	—	516	454	103	22	5	20	48	173	7	1	4	227	310	430	740	203	312	34	9	317	101	—	—	—	—	—	—
2005	21	A+ RAW	San Jose Giants	—	516	432	122	28	7	22	70	129	7	1	4	282	391	532	923	250	350	25	14	399	101	—	—	—	—	—	—
2006	22	AA MLE	2 teams	—	365	334	71	14	5	8	24	113	3	0	0	213	271	356	628	144	292	31	7	273	71	—	—	—	—	—	—
2006	22	AA RAW	2 teams	—	365	322	76	16	5	10	36	94	3	0	0	236	319	410	728	174	299	26	10	322	71	—	—	—	—	—	—
2007	23	A+ MLE	2 teams	—	414	382	72	12	2	12	25	163	6	0	0	188	249	325	574	136	288	39	6	252	57	—	—	—	—	—	—
2007	23	A+ RAW	2 teams	—	414	371	90	18	2	16	36	126	6	0	0	243	320	431	751	189	322	30	9	333	57	—	—	—	—	—	—
2008	24	AA MLE	3 teams	—	573	517	134	35	2	22	41	128	6	11	5	259	321	462	783	203	299	22	7	339	116	—	—	—	—	—	—
2008	24	AA RAW	3 teams	—	573	500	147	41	3	27	58	108	6	11	5	294	374	550	924	256	323	19	10	397	116	—	—	—	—	—	—
2009	25	MLB MLE	San Francisco Giants	—	363	329	85	10	2	9	27	89	4	2	2	258	322	383	705	125	326	25	7	315	100	-0	-0	+4	-6	+8	0.5
2009	25	MLB RAW	San Francisco Giants	—	363	326	85	10	2	9	30	89	4	2	2	261	331	387	717	126	330	25	8	321	100	-0	-0	+4	-6	+8	0.5
2010	26	MLB MLE	San Francisco Giants	—	173	160	42	11	0	3	11	29	0	0	0	263	310	388	697	125	302	17	6	313	98	-0	+0	-1	-3	+4	-0.1
2010	26	MLB RAW	San Francisco Giants	—	173	158	42	11	0	3	13	29	0	0	0	266	322	392	714	127	307	17	8	317	98	-0	+0	-1	-3	+4	-0.1
2011	27	AAA MLE	Fresno Grizzlies	—	211	187	37	11	0	2	17	68	4	3	1	198	279	289	568	91	297	32	8	260	62	—	—	—	—	—	—
2011	27	AAA RAW	Fresno Grizzlies	—	211	175	44	14	0	3	29	54	4	3	1	251	370	383	753	131	345	26	14	340	62	—	—	—	—	—	—
2012	28	MLB MLE	2 teams	—	195	174	43	15	1	4	12	45	4	0	0	247	311	414	724	167	310	23	6	315	99	-0	+0	-4	-3	+4	-0.3
2012	28	MLB RAW	2 teams	—	195	170	43	15	1	4	16	44	4	0	0	253	332	424	755	171	317	23	8	329	99	-0	+0	-4	-3	+4	-0.3
2013	29	AAA MLE	2 teams	—	368	331	81	18	2	8	30	97	5	1	0	245	317	384	701	139	322	26	8	308	94	—	—	—	—	—	—
2013	29	AAA RAW	2 teams	—	368	316	88	21	2	9	45	84	5	1	0	278	377	443	820	165	353	23	12	366	94	—	—	—	—	—	—
2014	30	AAA MLE	2 teams	—	392	356	81	11	1	11	25	113	7	0	0	228	291	357	648	129	297	29	6	284	78	—	—	—	—	—	—
2014	30	AAA RAW	2 teams	—	392	346	92	13	1	14	35	95	7	0	0	266	345	431	776	165	324	24	9	344	78	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	229	209	44	10	0	5	17	73	2	0	0	211	276	330	606	120	295	32	7	271	69	—	—	—	—	—	—
2015	31	AAA RAW	2 teams	—	229	203	51	13	0	5	23	63	2	0	0	251	333	389	722	138	338	28	10	325	69	—	—	—	—	—	—
2016	32	AAA MLE	Sacramento River Cats	—	483	439	80	13	0	12	26	169	11	0	1	182	246	294	540	112	259	35	5	238	47	—	—	—	—	—	—
2016	32	AAA RAW	Sacramento River Cats	—	483	422	100	17	0	18	43	135	11	0	1	237	324	405	729	168	299	28	9	323	47	—	—	—	—	—	—
2005	21	A+ MLE	San Jose Giants	—	516	456	103	22	5	20	48	173	7	1	4	226	310	428	738	202	302	34	9	317	101	—	—	—	—	—	—
2006	22	AA MLE	2 teams	—	365	335	71	14	5	8	24	113	3	0	0	212	271	355	627	143	283	31	7	273	71	—	—	—	—	—	—
2007	23	A+ MLE	2 teams	—	414	380	72	12	2	12	25	163	6	0	0	189	249	326	576	137	291	39	6	252	57	—	—	—	—	—	—
2008	24	AA MLE	3 teams	—	573	521	134	35	2	22	41	128	6	11	5	257	321	459	780	202	294	22	7	339	116	—	—	—	—	—	—
2009	25	MLB MLE	San Francisco Giants	—	363	329	85	10	2	9	27	89	4	2	2	258	322	383	705	125	330	25	7	315	100	—	—	—	—	—	—
2010	26	MLB MLE	San Francisco Giants	—	173	160	42	11	0	3	11	29	0	0	0	263	310	388	697	125	307	17	6	313	98	—	—	—	—	—	—
2011	27	AAA MLE	Fresno Grizzlies	—	211	188	37	11	0	2	17	68	4	3	1	197	279	287	566	90	290	32	8	260	62	—	—	—	—	—	—
2012	28	MLB MLE	2 teams	—	195	177	43	15	1	4	12	45	4	0	0	243	311	407	717	164	314	23	6	315	99	—	—	—	—	—	—
2013	29	AAA MLE	2 teams	—	368	330	81	18	2	8	30	97	5	1	0	245	317	385	702	139	316	26	8	308	94	—	—	—	—	—	—
2014	30	AAA MLE	2 teams	—	392	357	81	11	1	11	25	113	7	0	0	227	291	356	647	129	291	29	6	284	78	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	229	208	44	10	0	5	17	73	2	0	0	212	276	332	608	120	296	32	7	271	69	—	—	—	—	—	—
2016	32	AAA MLE	Sacramento River Cats	—	483	443	80	13	0	12	26	169	11	0	1	181	246	291	537	111	249	35	5	238	47	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1050	944	241	49	5	23	85	257	9	3	2	255	323	391	714	136	325	24	8	317	83	+1	-0	-2	-47	+23	-2.6
/ 162G	—	A+C		—	650	584	149	30	3	14	53	159	6	2	1	255	324	389	713	134	325	24	8	317	83	+1	-0	-1	-29	+14	-1.6
Career	—	MLE		—	4282	3872	873	182	20	116	303	1260	59	18	13	225	292	373	664	147	299	29	7	291	83	+1	-0	-2	-47	+23	-2.6
/ 162G	—	MLE		—	650	588	133	28	3	18	46	191	9	3	2	226	292	376	668	150	299	29	7	291	83	+1	-0	-1	-29	+14	-1.6

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.

2016 AAASacramento River Cats · 483 PAwOBA .317 → .238 (−79)K% 28.0% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.95%	÷1.034	×1.290	—	—	34.87%
BB% (unintentional) /PA	8.49%	÷1.052	×0.710	—	×0.942	5.40%
HBP% /PA	2.28%	—	×0.980	—	×0.942	2.10%
Singles /BIP	22.65%	÷0.960	×0.900	×0.986	×0.942	19.71%
Doubles /BIP	5.92%	÷0.973	×0.810	×0.986	×0.942	4.58%
Triples /BIP	0.00%	÷0.900	×0.810	×0.986	×0.942	0.00%
Home runs /BIP	6.27%	÷1.082	×0.780	—	×0.942	4.26%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .317 → .238; ISO .168 → .114; BABIP .299 → .249. 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 AAAIndianapolis Indians · 157 PAwOBA .338 → .265 (−73)K% 27.4% → 33.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.39%	÷0.977	×1.200	—	—	33.63%
BB% (unintentional) /PA	8.92%	÷1.077	×0.690	—	×0.952	5.44%
HBP% /PA	1.27%	—	×0.940	—	×0.952	1.14%
Singles /BIP	24.74%	÷1.044	×0.930	×1.014	×0.952	21.27%
Doubles /BIP	10.31%	÷1.050	×0.830	×1.014	×0.952	7.87%
Triples /BIP	0.00%	÷1.041	×0.970	×1.014	×0.952	0.00%
Home runs /BIP	4.12%	÷0.847	×0.840	—	×0.952	3.90%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 109, 2B 110, 3B 108, K 95, BB 115 — 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 ×1.014.

Result: wOBA .338 → .265; ISO .157 → .131; BABIP .362 → .300. 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 AAAFresno Grizzlies · 273 PAwOBA .350 → .271 (−79)K% 22.3% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.34%	÷0.994	×1.290	—	—	28.99%
BB% (unintentional) /PA	9.16%	÷1.005	×0.710	—	×0.962	6.22%
HBP% /PA	2.20%	—	×0.980	—	×0.962	2.07%
Singles /BIP	25.28%	÷1.002	×0.900	×1.024	×0.962	22.38%
Doubles /BIP	5.06%	÷1.014	×0.810	×1.024	×0.962	3.98%
Triples /BIP	0.00%	÷0.900	×0.810	×1.024	×0.962	0.00%
Home runs /BIP	6.18%	÷1.045	×0.780	—	×0.962	4.44%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 100, 2B 103, 3B 80, K 99, BB 101 — 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 ×1.024.

Result: wOBA .350 → .271; ISO .176 → .124; BABIP .320 → .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).

2013 AAACharlotte Knights · 348 PAwOBA .368 → .318 (−51)K% 21.3% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.26%	÷1.023	×1.200	—	—	24.95%
BB% (unintentional) /PA	11.78%	÷0.939	×0.690	—	×0.972	8.42%
HBP% /PA	1.44%	—	×0.940	—	×0.972	1.31%
Singles /BIP	24.22%	÷1.004	×0.930	×1.029	×0.972	22.44%
Doubles /BIP	9.42%	÷1.006	×0.830	×1.029	×0.972	7.77%
Triples /BIP	0.90%	÷0.900	×0.970	×1.029	×0.972	0.97%
Home runs /BIP	4.04%	÷0.972	×0.840	—	×0.972	3.39%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 101, 3B 80, K 105, BB 88 — 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 ×1.029.

Result: wOBA .368 → .318; ISO .175 → .152; BABIP .358 → .321. 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 AAANashville Sounds · 21 PAwOBA .318 → .257 (−61)K% 9.5% → 12.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷1.024	×1.290	—	—	12.00%
BB% (unintentional) /PA	14.29%	÷1.003	×0.710	—	×0.982	9.93%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	6.25%	÷1.016	×0.900	—	×0.982	5.44%
Doubles /BIP	18.75%	÷0.957	×0.810	—	×0.982	15.58%
Triples /BIP	0.00%	÷0.938	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.022	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 103, 2B 91, 3B 88, K 105, BB 101 — 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 .318 → .257; ISO .167 → .142; BABIP .250 → .210. 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 AAAFresno Grizzlies · 211 PAwOBA .327 → .260 (−67)K% 25.6% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.59%	÷1.027	×1.290	—	—	32.16%
BB% (unintentional) /PA	11.85%	÷1.043	×0.710	—	×0.992	8.00%
HBP% /PA	1.90%	—	×0.980	—	×0.992	1.84%
Singles /BIP	22.31%	÷0.960	×0.900	×0.961	×0.992	19.92%
Doubles /BIP	11.57%	÷1.013	×0.810	×0.961	×0.992	8.81%
Triples /BIP	0.00%	÷1.150	×0.810	×0.961	×0.992	0.00%
Home runs /BIP	2.48%	÷1.112	×0.780	—	×0.992	1.73%

Factors used: league row PCL. Park (home-season share, regressed): HR 122, 1B 92, 2B 103, 3B 130, K 105, 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 ×0.961.

Result: wOBA .327 → .260; ISO .131 → .098; BABIP .345 → .290. 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).

2008 AAConnecticut Defenders · 277 PAwOBA .364 → .323 (−41)K% 16.2% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.25%	÷1.000	×1.220	—	—	19.82%
BB% (unintentional) /PA	11.55%	÷1.000	×0.700	—	×0.998	8.07%
HBP% /PA	0.72%	—	×0.850	—	×0.998	0.61%
Singles /BIP	23.28%	÷1.000	×0.970	×1.003	×0.998	22.62%
Doubles /BIP	8.47%	÷1.000	×0.860	×1.003	×0.998	7.29%
Triples /BIP	0.00%	÷1.000	×0.950	×1.003	×0.998	0.00%
Home runs /BIP	4.23%	÷1.000	×0.780	—	×0.998	3.29%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.003.

Result: wOBA .364 → .323; ISO .171 → .145; BABIP .324 → .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).

2008 AAAFresno Grizzlies · 192 PAwOBA .456 → .364 (−92)K% 18.8% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.000	×1.290	—	—	24.19%
BB% (unintentional) /PA	7.29%	÷1.000	×0.710	—	×1.033	5.35%
HBP% /PA	2.08%	—	×0.980	—	×1.033	2.11%
Singles /BIP	11.11%	÷1.000	×0.900	×0.960	×1.033	9.92%
Doubles /BIP	14.07%	÷1.000	×0.810	×0.960	×1.033	11.31%
Triples /BIP	2.22%	÷1.000	×0.810	×0.960	×1.033	1.79%
Home runs /BIP	11.85%	÷1.000	×0.780	—	×1.033	9.55%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.960.

Result: wOBA .456 → .364; ISO .427 → .334; BABIP .303 → .248. 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).