Ji Man Choi

PosDH

B/TL/R

Born1991-05-19

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	31	MLBTB	419	.233/.344/.388	11	0	107	0.3
2023	32	AAASD	58	.250/.368/.500	3	0	80	—	.216/.298/.392
2023	32	MLBSD	117	.163/.243/.385	6	0	73	-0.6
2024	33	AAANYM	104	.190/.327/.357	4	0	43	—	.157/.257/.281
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Avg EV90

xwOBA78

Barrel%76

Bat Spd58

Speed10

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)
2010	19	A+	High Desert Mavericks	—	50	43	13	1	1	1	6	9	0	0	0	302	388	442	830	140	353	18	12	364	90	—	—	—	—	—	—
2010	19	ROK	AZL Mariners	—	159	135	51	15	2	1	21	30	1	10	1	378	465	541	1.006	163	472	19	13	439	99	—	—	—	—	—	—
2012	21	A	Clinton LumberKings	—	294	242	72	14	1	8	39	55	12	0	2	298	420	463	883	165	358	19	13	397	110	—	—	—	—	—	—
2012	21	INTL	Adelaide Bite	—	172	139	43	6	1	8	26	27	3	1	1	309	429	540	968	230	324	16	15	417	168	—	—	—	—	—	—
2013	22	AAA	Tacoma Rainiers	—	52	45	11	2	0	2	4	7	2	0	0	244	333	422	756	178	250	13	8	333	84	—	—	—	—	—	—
2013	22	AA	Jackson Generals	—	236	198	53	10	3	9	32	28	4	2	2	268	380	485	865	217	270	12	14	380	103	—	—	—	—	—	—
2013	22	A+	High Desert Mavericks	—	211	181	61	24	3	7	27	33	2	0	1	337	429	619	1.047	282	380	16	13	450	128	—	—	—	—	—	—
2014	23	AAA	Tacoma Rainiers	—	281	237	67	7	2	5	36	42	3	2	2	283	384	392	776	110	323	15	13	348	93	—	—	—	—	—	—
2014	23	AA	Jackson Generals	—	15	11	3	1	0	1	4	2	0	0	0	273	467	636	1.103	364	250	13	27	471	180	—	—	—	—	—	—
2014	23	INTL	Tigres de Aragua	—	59	50	11	2	0	1	8	15	0	1	1	220	328	320	648	100	294	25	14	296	87	—	—	—	—	—	—
2015	24	AAA	Tacoma Rainiers	—	67	57	17	4	0	1	10	14	0	0	1	298	403	421	824	123	381	21	15	374	98	—	—	—	—	—	—
2015	24	INTL	Estrellas de Oriente	—	114	96	21	4	1	3	17	20	0	0	1	219	336	375	711	156	243	18	15	321	104	—	—	—	—	—	—
2016	25	MLB	Los Angeles Angels	—	129	112	19	4	0	5	16	27	0	2	4	170	273	339	613	170	173	21	12	277	70	-5	-1	-2	-6	+3	-1.1
2016	25	AAA	Salt Lake Bees	—	227	188	65	17	1	5	31	34	2	4	3	346	443	527	970	181	390	15	14	418	126	—	—	—	—	—	—
2017	26	MLB	New York Yankees	—	18	15	4	1	0	2	2	5	0	0	0	267	353	733	1.086	467	222	28	11	430	168	+1	+0	-1	-6	+0	-0.6
2017	26	AAA	Scranton/Wilkes-Barre RailRiders	—	338	288	83	25	1	15	39	86	4	3	1	288	381	538	919	250	351	25	12	394	103	—	—	—	—	—	—
2018	27	MLB	Tampa Bay Rays	—	221	190	50	14	1	10	26	55	3	2	0	263	361	505	866	242	315	25	12	377	141	+11	+0	-0	-8	+5	0.8
2018	27	AAA	Durham Bulls	—	249	203	59	13	0	7	43	49	0	1	0	291	415	458	873	167	347	20	17	388	103	—	—	—	—	—	—
2019	28	MLB	Tampa Bay Rays	—	487	410	107	20	2	19	64	108	6	2	3	261	369	459	827	198	303	22	13	364	131	+18	-1	-8	-9	+11	1.1
2020	29	MLB	Tampa Bay Rays	—	145	122	28	13	0	3	20	36	0	0	0	230	338	410	748	180	291	25	14	329	104	+1	+0	-3	-3	+3	-0.2
2021	30	MLB	Tampa Bay Rays	—	305	258	59	14	0	11	45	87	2	0	0	229	348	411	758	182	300	29	15	343	119	+7	+0	-4	-6	+7	0.4
2021	30	AAA	Durham Bulls	—	27	23	6	2	0	0	3	7	0	0	0	261	346	348	694	87	353	26	11	307	65	—	—	—	—	—	—
2022	31	MLB	Tampa Bay Rays	—	419	356	83	22	0	11	58	123	2	0	0	233	344	388	731	154	320	29	14	330	107	+3	+0	-2	-7	+9	0.3
2023	32	MLB	San Diego Padres	—	117	104	17	5	0	6	10	35	1	0	0	163	243	385	628	221	169	30	9	274	73	-4	+0	-1	-3	+3	-0.6
2023	32	AAA	El Paso Chihuahuas	—	58	48	12	1	1	3	9	14	0	0	0	250	368	500	868	250	281	24	16	375	80	—	—	—	—	—	—
2024	33	AAA	Syracuse Mets	—	104	84	16	2	0	4	17	29	0	0	0	190	327	357	684	167	222	28	16	306	43	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1841	1567	367	93	3	67	241	476	14	6	7	234	341	426	767	191	288	26	13	340	117	+36	-2	-22	-49	+40	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	19	A+ MLE	High Desert Mavericks	—	50	45	12	1	1	1	4	12	0	0	0	267	327	400	727	133	320	24	8	301	90	—	—	—	—	—	—
2010	19	ROK MLE	AZL Mariners	—	159	143	38	10	1	1	13	43	1	10	1	266	331	371	702	105	369	27	8	315	99	—	—	—	—	—	—
2012	21	A MLE	Clinton LumberKings	—	294	255	67	13	1	7	26	79	12	0	2	263	358	404	762	141	341	27	9	331	110	—	—	—	—	—	—
2013	22	AAA MLE	Tacoma Rainiers	—	52	46	11	2	0	2	3	9	2	0	0	239	314	413	727	174	235	17	6	292	84	—	—	—	—	—	—
2013	22	AA MLE	Jackson Generals	—	236	209	50	10	3	7	21	34	4	2	2	239	321	416	737	177	248	14	9	320	103	—	—	—	—	—	—
2013	22	A+ MLE	High Desert Mavericks	—	211	190	53	21	2	5	18	46	2	0	1	279	348	489	837	211	335	22	9	357	128	—	—	—	—	—	—
2014	23	AAA MLE	Tacoma Rainiers	—	281	247	65	7	2	4	26	53	3	2	2	263	341	356	697	93	307	19	9	306	93	—	—	—	—	—	—
2014	23	AA MLE	Jackson Generals	—	15	14	3	1	0	1	1	3	0	0	0	214	267	500	767	286	237	20	7	434	180	—	—	—	—	—	—
2015	24	AAA MLE	Tacoma Rainiers	—	67	61	16	4	0	1	6	17	0	0	1	262	328	377	705	115	357	25	9	313	98	—	—	—	—	—	—
2016	25	MLB MLE	Los Angeles Angels	—	129	113	19	4	0	5	15	27	0	2	4	168	266	336	602	168	173	21	12	272	70	-5	-1	-2	-6	+3	-1.1
2016	25	AAA MLE	Salt Lake Bees	—	227	197	59	15	1	4	22	45	2	4	3	299	376	447	822	147	344	20	10	354	126	—	—	—	—	—	—
2017	26	MLB MLE	New York Yankees	—	18	15	4	1	0	2	2	5	0	0	0	267	353	733	1.086	467	222	28	11	417	168	+1	+0	-1	-6	+0	-0.6
2017	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	338	304	75	22	1	11	23	104	4	3	1	247	308	434	742	188	316	31	7	321	103	—	—	—	—	—	—
2018	27	MLB MLE	Tampa Bay Rays	—	221	191	50	14	1	10	25	55	3	2	0	262	356	503	859	241	315	25	11	376	141	+11	+0	-0	-8	+5	0.8
2018	27	AAA MLE	Durham Bulls	—	249	216	54	11	0	6	30	57	0	1	0	250	341	384	726	134	298	23	12	321	103	—	—	—	—	—	—
2019	28	MLB MLE	Tampa Bay Rays	—	487	412	107	20	2	20	62	108	6	2	3	260	365	464	828	204	303	22	13	362	131	+18	-1	-8	-9	+11	1.1
2020	29	MLB MLE	Tampa Bay Rays	—	145	124	28	13	0	3	18	36	0	0	0	226	324	403	727	177	291	25	12	322	104	+1	+0	-3	-3	+3	-0.2
2021	30	MLB MLE	Tampa Bay Rays	—	305	258	58	14	0	11	45	87	2	0	0	225	344	407	751	182	300	29	15	344	119	+7	+0	-4	-6	+7	0.4
2021	30	AAA MLE	Durham Bulls	—	27	24	6	2	0	0	2	8	0	0	0	250	308	333	641	83	315	30	7	265	65	—	—	—	—	—	—
2022	31	MLB MLE	Tampa Bay Rays	—	419	359	82	22	0	11	55	123	2	0	0	228	334	382	716	153	320	29	13	326	107	+3	+0	-2	-7	+9	0.3
2023	32	MLB MLE	San Diego Padres	—	117	104	17	5	0	6	10	35	1	0	0	163	243	385	628	221	169	30	9	275	73	-4	+0	-1	-3	+3	-0.6
2023	32	AAA MLE	El Paso Chihuahuas	—	58	51	11	1	1	2	6	17	0	0	0	216	298	392	690	176	244	29	10	286	80	—	—	—	—	—	—
2024	33	AAA MLE	Syracuse Mets	—	104	89	14	2	0	3	12	36	0	0	0	157	257	281	538	124	192	35	12	232	43	—	—	—	—	—	—
2010	19	ROK MLE	2 teams	—	209	188	50	11	2	2	17	56	1	10	1	266	330	378	708	112	361	27	8	312	97	—	—	—	—	—	—
2010	19	ROK RAW	2 teams	—	209	178	64	16	3	2	27	39	1	10	1	360	447	517	963	157	443	19	13	421	97	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	466	405	104	20	1	11	41	125	15	1	3	257	347	393	740	136	341	27	9	331	110	—	—	—	—	—	—
2012	21	A RAW	2 teams	—	466	381	115	20	2	16	65	82	15	1	3	302	423	491	914	189	345	18	14	404	110	—	—	—	—	—	—
2013	22	AA MLE	3 teams	—	499	445	113	32	5	14	42	89	8	2	3	254	329	443	772	189	287	18	8	333	111	—	—	—	—	—	—
2013	22	AA RAW	3 teams	—	499	424	125	36	6	18	63	68	8	2	3	295	396	535	931	241	314	14	13	405	111	—	—	—	—	—	—
2014	23	AAA MLE	3 teams	—	355	314	82	9	2	7	32	67	3	3	3	261	335	369	705	108	310	19	9	312	98	—	—	—	—	—	—
2014	23	AAA RAW	3 teams	—	355	298	81	10	2	7	48	59	3	3	3	272	378	389	767	117	316	17	14	345	98	—	—	—	—	—	—
2015	24	INTL MLE	2 teams	—	181	163	43	10	0	2	17	47	0	0	2	264	333	362	695	98	357	26	9	313	98	—	—	—	—	—	—
2015	24	INTL RAW	2 teams	—	181	153	38	8	1	4	27	34	0	0	2	248	361	392	753	144	293	19	15	341	98	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	356	310	78	19	1	9	37	72	2	6	7	252	335	406	742	155	294	20	10	324	106	—	—	—	—	—	—
2016	25	AAA RAW	2 teams	—	356	300	84	21	1	10	47	61	2	6	7	280	381	457	838	177	315	17	13	367	106	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	356	319	78	23	1	12	25	109	4	3	1	245	307	436	743	191	320	31	7	326	107	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	356	303	87	26	1	17	41	91	4	3	1	287	379	548	927	261	345	26	12	396	107	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	470	407	104	25	1	17	55	112	3	3	0	256	348	447	796	192	307	24	12	347	121	—	—	—	—	—	—
2018	27	AAA RAW	2 teams	—	470	393	109	27	1	17	69	104	3	3	0	277	389	481	870	204	332	22	15	383	121	—	—	—	—	—	—
2019	28	MLB MLE	Tampa Bay Rays	—	487	412	107	20	2	20	62	108	6	2	3	260	365	464	828	204	299	22	13	362	131	+18	-1	-8	-9	+11	1.1
2019	28	MLB RAW	Tampa Bay Rays	—	487	410	107	20	2	19	64	108	6	2	3	261	369	459	827	198	303	22	13	364	131	+18	-1	-8	-9	+11	1.1
2020	29	MLB MLE	Tampa Bay Rays	—	145	124	28	13	0	3	18	36	0	0	0	226	324	403	727	177	284	25	12	322	104	+1	+0	-3	-3	+3	-0.2
2020	29	MLB RAW	Tampa Bay Rays	—	145	122	28	13	0	3	20	36	0	0	0	230	338	410	748	180	291	25	14	329	104	+1	+0	-3	-3	+3	-0.2
2021	30	MLB MLE	2 teams	—	332	282	64	16	0	11	47	95	2	0	0	227	341	401	742	174	299	29	14	338	115	+6	+0	-4	-6	+7	0.3
2021	30	MLB RAW	2 teams	—	332	281	65	16	0	11	48	94	2	0	0	231	347	406	753	174	305	28	14	340	115	+6	+0	-4	-6	+7	0.3
2022	31	MLB MLE	Tampa Bay Rays	—	419	359	82	22	0	11	55	123	2	0	0	228	334	382	716	153	311	29	13	326	107	+3	+0	-2	-7	+9	0.3
2022	31	MLB RAW	Tampa Bay Rays	—	419	356	83	22	0	11	58	123	2	0	0	233	344	388	731	154	320	29	14	330	107	+3	+0	-2	-7	+9	0.3
2023	32	MLB MLE	2 teams	—	175	155	28	6	1	8	16	52	1	0	0	181	262	387	649	206	204	30	9	279	75	-5	+0	-1	-3	+4	-0.6
2023	32	MLB RAW	2 teams	—	175	152	29	6	1	9	19	49	1	0	0	191	285	421	706	230	206	28	11	307	75	-5	+0	-1	-3	+4	-0.6
2024	33	AAA MLE	Syracuse Mets	—	104	89	14	2	0	3	12	36	0	0	0	157	257	281	538	124	208	35	12	232	43	—	—	—	—	—	—
2024	33	AAA RAW	Syracuse Mets	—	104	84	16	2	0	4	17	29	0	0	0	190	327	357	684	167	222	28	16	306	43	—	—	—	—	—	—
2010	19	ROK MLE	2 teams	—	209	189	50	11	2	2	17	56	1	10	1	265	330	376	706	111	357	27	8	312	97	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	466	407	104	20	1	11	41	125	15	1	3	256	347	391	738	135	341	27	9	331	110	—	—	—	—	—	—
2013	22	AA MLE	3 teams	—	499	446	113	32	5	14	42	89	8	2	3	253	329	442	771	188	283	18	8	333	111	—	—	—	—	—	—
2014	23	AAA MLE	3 teams	—	355	317	82	9	2	7	32	67	3	3	3	259	335	366	701	107	303	19	9	312	98	—	—	—	—	—	—
2015	24	INTL MLE	2 teams	—	181	162	43	10	0	2	17	47	0	0	2	265	333	364	698	99	357	26	9	313	98	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	356	314	78	19	1	9	37	72	2	6	7	248	335	401	737	153	282	20	10	324	106	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	356	324	78	23	1	12	25	109	4	3	1	241	307	429	736	188	311	31	7	326	107	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	470	409	104	25	1	17	55	112	3	3	0	254	348	445	793	191	306	24	12	347	121	—	—	—	—	—	—
2019	28	MLB MLE	Tampa Bay Rays	—	487	416	107	20	2	20	62	108	6	2	3	257	365	459	824	202	303	22	13	362	131	—	—	—	—	—	—
2020	29	MLB MLE	Tampa Bay Rays	—	145	126	28	13	0	3	18	36	0	0	0	222	324	397	721	175	291	25	12	322	104	—	—	—	—	—	—
2021	30	MLB MLE	2 teams	—	332	280	64	16	0	11	47	95	2	0	0	229	341	404	745	175	301	29	14	338	115	—	—	—	—	—	—
2022	31	MLB MLE	Tampa Bay Rays	—	419	359	82	22	0	11	55	123	2	0	0	228	334	382	716	153	320	29	13	326	107	—	—	—	—	—	—
2023	32	MLB MLE	2 teams	—	175	156	28	6	1	8	16	52	1	0	0	179	262	385	646	205	194	30	9	279	75	—	—	—	—	—	—
2024	33	AAA MLE	Syracuse Mets	—	104	91	14	2	0	3	12	36	0	0	0	154	257	275	532	121	192	35	12	232	43	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	AAA MLE	Syracuse Mets	—	104	91	14	2	0	3	12	36	0	0	0	154	257	275	532	121	192	35	12	232	43	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1841	1567	367	93	3	67	241	476	14	6	7	234	341	426	767	191	288	26	13	340	108	+36	-2	-22	-49	+40	0.4
/ 162G	—	A+C		—	650	553	130	33	1	24	85	168	5	2	2	235	342	429	771	193	288	26	13	340	108	+13	-1	-8	-17	+14	0.1
Career	—	MLE		—	4554	3972	975	228	16	130	476	1127	47	30	23	245	333	409	742	164	305	25	10	328	108	+36	-2	-22	-49	+40	0.4
/ 162G	—	MLE		—	650	567	140	33	2	19	68	161	7	4	3	247	335	413	748	166	307	25	10	328	108	+13	-1	-8	-17	+14	0.1

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.

2024 AAASyracuse Mets · 104 PAwOBA .307 → .232 (−75)K% 27.9% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.88%	÷0.968	×1.200	—	—	34.59%
BB% (unintentional) /PA	16.35%	÷0.933	×0.690	—	×0.942	11.38%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	18.18%	÷1.006	×0.930	×1.031	×0.942	16.32%
Doubles /BIP	3.64%	÷0.972	×0.830	×1.031	×0.942	3.02%
Triples /BIP	0.00%	÷0.900	×0.970	×1.031	×0.942	0.00%
Home runs /BIP	7.27%	÷1.059	×0.700	—	×0.942	4.53%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — 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 ×1.031.

Result: wOBA .307 → .232; ISO .167 → .111; BABIP .222 → .192. 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).

2023 AAAEl Paso Chihuahuas · 58 PAwOBA .372 → .286 (−86)K% 24.1% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.14%	÷0.985	×1.200	—	—	29.42%
BB% (unintentional) /PA	15.52%	÷0.963	×0.690	—	×0.952	10.58%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	20.59%	÷0.958	×0.930	—	×0.952	19.02%
Doubles /BIP	2.94%	÷0.975	×0.830	—	×0.952	2.38%
Triples /BIP	2.94%	÷1.150	×0.970	—	×0.952	2.36%
Home runs /BIP	8.82%	÷1.052	×0.700	—	×0.952	5.59%

Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 92, 2B 95, 3B 130, K 97, BB 93 — 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).

Result: wOBA .372 → .286; ISO .250 → .173; BABIP .281 → .244. 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).

2021 AAADurham Bulls · 27 PAwOBA .311 → .265 (−46)K% 25.9% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.93%	÷1.029	×1.200	—	—	30.24%
BB% (unintentional) /PA	11.11%	÷1.016	×0.690	—	×0.972	7.34%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	25.00%	÷0.945	×0.930	—	×0.972	23.91%
Doubles /BIP	12.50%	÷1.067	×0.830	—	×0.972	9.45%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.972	0.00%
Home runs /BIP	0.00%	÷1.059	×0.700	—	×0.972	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 89, 2B 113, 3B 130, K 106, BB 103 — 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).

Result: wOBA .311 → .265; ISO .087 → .069; BABIP .353 → .315. 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).

2018 AAADurham Bulls · 249 PAwOBA .383 → .321 (−62)K% 19.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.68%	÷1.032	×1.200	—	—	22.88%
BB% (unintentional) /PA	17.27%	÷0.986	×0.690	—	×1.003	12.12%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	25.32%	÷1.052	×0.930	×1.008	×1.003	22.64%
Doubles /BIP	8.44%	÷1.091	×0.830	×1.008	×1.003	6.50%
Triples /BIP	0.00%	÷0.993	×0.970	×1.008	×1.003	0.00%
Home runs /BIP	4.55%	÷0.970	×0.840	—	×1.003	3.95%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 110, 2B 118, 3B 99, K 106, BB 97 — 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 ×1.008.

Result: wOBA .383 → .321; ISO .167 → .146; BABIP .347 → .298. 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 AAAScranton/Wilkes-Barre RailRiders · 338 PAwOBA .389 → .321 (−68)K% 25.4% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.44%	÷0.995	×1.200	—	—	30.69%
BB% (unintentional) /PA	10.65%	÷1.105	×0.690	—	×1.018	6.77%
HBP% /PA	1.18%	—	×0.940	—	×1.018	1.13%
Singles /BIP	20.79%	÷0.980	×0.930	×0.985	×1.018	19.79%
Doubles /BIP	12.38%	÷0.951	×0.830	×0.985	×1.018	10.83%
Triples /BIP	0.50%	÷1.150	×0.970	×0.985	×1.018	0.42%
Home runs /BIP	7.43%	÷1.247	×0.840	—	×1.018	5.09%

Factors used: league row IL. Park (home-season share, regressed): HR 149, 1B 96, 2B 90, 3B 130, K 99, BB 121 — 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 .389 → .321; ISO .250 → .194; BABIP .351 → .316. 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 · 227 PAwOBA .416 → .354 (−61)K% 15.0% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.98%	÷0.969	×1.290	—	—	19.94%
BB% (unintentional) /PA	13.22%	÷1.021	×0.710	—	×1.033	9.50%
HBP% /PA	0.88%	—	×0.980	—	×1.033	0.89%
Singles /BIP	27.27%	÷1.033	×0.900	×1.015	×1.033	24.92%
Doubles /BIP	11.04%	÷1.020	×0.810	×1.015	×1.033	9.19%
Triples /BIP	0.65%	÷1.137	×0.810	×1.015	×1.033	0.49%
Home runs /BIP	3.25%	÷1.035	×0.780	—	×1.033	2.53%

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 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 ×1.015.

Result: wOBA .416 → .354; ISO .181 → .149; BABIP .390 → .344. 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 AAATacoma Rainiers · 67 PAwOBA .360 → .313 (−47)K% 20.9% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.90%	÷1.049	×1.290	—	—	25.69%
BB% (unintentional) /PA	13.43%	÷1.046	×0.710	—	×1.048	9.55%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	27.91%	÷0.995	×0.900	—	×1.048	26.45%
Doubles /BIP	9.30%	÷0.910	×0.810	—	×1.048	8.68%
Triples /BIP	0.00%	÷0.900	×0.810	—	×1.048	0.00%
Home runs /BIP	2.33%	÷1.127	×0.780	—	×1.048	1.69%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 99, 2B 82, 3B 80, K 110, BB 109 — 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).

Result: wOBA .360 → .313; ISO .123 → .105; BABIP .381 → .357. 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 AAATacoma Rainiers · 281 PAwOBA .342 → .306 (−36)K% 14.9% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.95%	÷1.017	×1.290	—	—	18.96%
BB% (unintentional) /PA	12.81%	÷1.052	×0.710	—	×1.050	9.08%
HBP% /PA	1.07%	—	×0.980	—	×1.050	1.10%
Singles /BIP	27.18%	÷1.016	×0.900	×1.031	×1.050	26.06%
Doubles /BIP	3.59%	÷0.937	×0.810	×1.031	×1.050	3.36%
Triples /BIP	1.03%	÷0.971	×0.810	×1.031	×1.050	0.93%
Home runs /BIP	2.56%	÷0.963	×0.780	—	×1.050	2.18%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 103, 2B 87, 3B 94, K 103, BB 110 — 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 ×1.031.

Result: wOBA .342 → .306; ISO .110 → .099; BABIP .323 → .307. 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 — .