James Adduci

Pos1B

B/TL/L

Born1985-05-15

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	32	AAADET	239	.288/.349/.414	4	10	65	—	.229/.268/.327
2017	32	MLBDET	93	.241/.323/.398	1	1	107	-0.2
2018	33	AAADET	296	.309/.361/.474	7	8	80	—	.246/.282/.375
2018	33	MLBDET	185	.267/.291/.386	3	1	90	-0.9
2019	34	AAACHC	386	.301/.341/.465	12	9	57	—	.221/.252/.331
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR -1.1

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Speed79

Barrel%23

xwOBA17

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)
2005	20	ROK	GCL Marlins	—	40	37	14	3	1	0	3	5	0	1	0	378	425	514	939	135	438	12	8	415	87	—	—	—	—	—	—
2006	21	ROK	GCL Marlins	—	40	35	10	2	1	1	5	8	0	1	1	286	375	486	861	200	346	20	12	380	60	—	—	—	—	—	—
2007	22	A+	Daytona Cubs	—	34	33	4	1	0	0	0	13	0	0	1	121	121	152	273	30	200	38	0	118	-57	—	—	—	—	—	—
2007	22	A	Peoria Chiefs	—	436	401	117	18	2	2	30	98	3	20	6	292	346	362	707	70	381	22	7	320	64	—	—	—	—	—	—
2008	23	A+	Daytona Cubs	—	539	458	133	19	3	3	63	96	5	26	8	290	382	365	747	74	359	18	12	336	84	—	—	—	—	—	—
2009	24	AA	Tennessee Smokies	—	534	467	140	21	4	4	58	76	0	35	12	300	377	388	765	88	351	14	11	342	93	—	—	—	—	—	—
2010	25	AAA	Iowa Cubs	—	407	367	91	9	1	3	27	80	3	23	9	248	305	302	607	54	306	20	7	273	48	—	—	—	—	—	—
2011	26	AA	Tennessee Smokies	—	267	237	73	13	2	4	26	33	1	21	4	308	379	430	809	122	345	12	10	360	93	—	—	—	—	—	—
2011	26	ROK	AZL Cubs	—	17	17	3	0	0	0	0	2	0	2	0	176	176	176	353		200	12	0	160	-37	—	—	—	—	—	—
2012	27	AAA	Iowa Cubs	—	170	147	45	9	2	2	17	40	1	7	4	306	382	435	817	129	402	24	10	356	87	—	—	—	—	—	—
2012	27	AA	Tennessee Smokies	—	293	252	74	12	1	5	31	47	0	11	3	294	371	409	780	115	340	16	11	340	89	—	—	—	—	—	—
2013	28	MLB	Texas Rangers	—	34	31	8	1	0	0	3	9	0	2	0	258	324	290	614	32	364	26	9	286	74	-1	+0	-1	-7	+1	-0.8
2013	28	AAA	Round Rock Express	—	551	473	141	24	3	16	65	107	2	32	9	298	385	463	848	165	351	19	12	371	83	—	—	—	—	—	—
2013	28	INTL	Toros del Este	—	82	72	19	4	0	2	8	17	1	0	2	264	346	403	748	139	321	21	10	334	112	—	—	—	—	—	—
2014	29	MLB	Texas Rangers	—	114	101	17	3	0	1	10	27	0	3	1	168	243	228	471	59	213	24	9	216	27	-10	+0	+3	-2	+2	-0.6
2014	29	AAA	Round Rock Express	—	29	27	8	1	0	0	2	8	0	2	1	296	345	333	678	37	421	28	7	311	47	—	—	—	—	—	—
2014	29	AA	Frisco RoughRiders	—	23	22	7	1	1	1	0	5	0	1	0	318	318	591	909	273	353	22	0	374	94	—	—	—	—	—	—
2016	31	INTL	Yaquis de Obregon	—	125	114	24	2	1	2	8	25	0	5	0	211	262	298	561	88	250	20	6	249	55	—	—	—	—	—	—
2017	32	MLB	Detroit Tigers	—	93	83	20	6	2	1	10	27	0	1	1	241	323	398	720	157	345	29	11	322	107	+1	-0	-1	-4	+2	-0.2
2017	32	AAA	Toledo Mud Hens	—	239	215	62	13	1	4	20	59	0	10	3	288	349	414	763	126	372	25	8	336	65	—	—	—	—	—	—
2018	33	MLB	Detroit Tigers	—	185	176	47	8	2	3	6	45	0	1	0	267	291	386	678	119	341	24	3	296	90	-2	+0	-2	-9	+4	-0.9
2018	33	AAA	Toledo Mud Hens	—	296	272	84	22	1	7	22	60	0	8	1	309	361	474	835	165	372	20	7	367	80	—	—	—	—	—	—
2019	34	AAA	Iowa Cubs	—	386	359	108	23	0	12	21	89	1	9	4	301	341	465	806	164	366	23	5	352	57	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	426	391	92	18	4	5	29	108	0	7	2	235	288	340	628	105	310	25	7	279	75	-13	+1	-1	-21	+9	-2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	20	ROK MLE	GCL Marlins	—	40	38	11	2	1	0	2	7	0	1	0	289	325	395	720	105	345	18	5	297	87	—	—	—	—	—	—
2006	21	ROK MLE	GCL Marlins	—	40	37	8	1	1	1	3	12	0	1	1	216	275	378	653	162	266	30	8	257	60	—	—	—	—	—	—
2007	22	A+ MLE	Daytona Cubs	—	34	33	3	1	0	0	0	18	0	0	1	91	91	121	212	30	188	53	0	84	-57	—	—	—	—	—	—
2007	22	A MLE	Peoria Chiefs	—	436	411	103	15	2	1	20	133	3	20	6	251	290	304	594	54	362	31	5	263	64	—	—	—	—	—	—
2008	23	A+ MLE	Daytona Cubs	—	539	477	126	19	2	3	44	136	5	26	8	264	333	331	664	67	347	25	8	293	84	—	—	—	—	—	—
2009	24	AA MLE	Tennessee Smokies	—	534	487	139	21	4	3	38	93	0	35	12	285	337	363	701	78	340	17	7	306	93	—	—	—	—	—	—
2010	25	AAA MLE	Iowa Cubs	—	407	377	86	8	1	3	17	101	3	23	9	228	267	279	546	50	290	25	4	239	48	—	—	—	—	—	—
2011	26	AA MLE	Tennessee Smokies	—	267	248	69	13	2	3	15	42	1	21	4	278	322	383	705	105	319	16	6	306	93	—	—	—	—	—	—
2011	26	ROK MLE	AZL Cubs	—	17	17	2	0	0	0	0	3	0	2	0	118	118	118	235		154	18	0	113	-37	—	—	—	—	—	—
2012	27	AAA MLE	Iowa Cubs	—	170	153	40	7	2	2	11	51	1	7	4	261	315	373	688	111	355	30	6	297	87	—	—	—	—	—	—
2012	27	AA MLE	Tennessee Smokies	—	293	264	72	11	1	4	19	59	0	11	3	273	322	367	689	95	319	20	6	300	89	—	—	—	—	—	—
2013	28	MLB MLE	Texas Rangers	—	34	31	8	1	0	0	3	9	0	2	0	258	324	290	614	32	364	26	9	277	74	-1	+0	-1	-7	+1	-0.8
2013	28	AAA MLE	Round Rock Express	—	551	493	116	19	3	13	45	141	2	32	9	235	302	365	667	130	287	26	8	291	83	—	—	—	—	—	—
2014	29	MLB MLE	Texas Rangers	—	114	101	17	3	0	1	10	27	0	3	1	168	243	228	471	59	213	24	9	208	27	-10	+0	+3	-2	+2	-0.6
2014	29	AAA MLE	Round Rock Express	—	29	28	7	1	0	0	1	10	0	2	1	250	276	286	562	36	371	34	3	237	47	—	—	—	—	—	—
2014	29	AA MLE	Frisco RoughRiders	—	23	22	6	1	1	1	0	6	0	1	0	273	273	545	818	273	304	26	0	307	94	—	—	—	—	—	—
2017	32	MLB MLE	Detroit Tigers	—	93	83	20	6	2	1	10	27	0	1	1	241	323	398	720	157	345	29	11	327	107	+1	-0	-1	-4	+2	-0.2
2017	32	AAA MLE	Toledo Mud Hens	—	239	223	51	11	1	3	12	71	0	10	3	229	268	327	595	99	308	30	5	264	65	—	—	—	—	—	—
2018	33	MLB MLE	Detroit Tigers	—	185	176	47	8	2	3	6	45	0	1	0	267	291	386	678	119	341	24	3	301	90	-2	+0	-2	-9	+4	-0.9
2018	33	AAA MLE	Toledo Mud Hens	—	296	280	69	16	1	6	14	71	0	8	1	246	282	375	657	129	306	24	5	287	80	—	—	—	—	—	—
2019	34	AAA MLE	Iowa Cubs	—	386	366	81	16	0	8	14	112	1	9	4	221	252	331	583	109	285	29	4	252	57	—	—	—	—	—	—
2005	20	ROK MLE	GCL Marlins	—	40	38	11	2	1	0	2	7	0	1	0	289	325	395	720	105	355	18	5	297	87	—	—	—	—	—	—
2005	20	ROK RAW	GCL Marlins	—	40	37	14	3	1	0	3	5	0	1	0	378	425	514	939	135	438	12	8	415	87	—	—	—	—	—	—
2006	21	ROK MLE	GCL Marlins	—	40	37	8	1	1	1	3	12	0	1	1	216	275	378	653	162	292	30	8	257	60	—	—	—	—	—	—
2006	21	ROK RAW	GCL Marlins	—	40	35	10	2	1	1	5	8	0	1	1	286	375	486	861	200	346	20	12	380	60	—	—	—	—	—	—
2007	22	A MLE	2 teams	—	470	444	105	15	2	1	20	152	3	20	7	236	274	286	560	50	356	32	4	250	55	—	—	—	—	—	—
2007	22	A RAW	2 teams	—	470	434	121	19	2	2	30	111	3	20	7	279	330	346	675	67	370	24	6	306	55	—	—	—	—	—	—
2008	23	A+ MLE	Daytona Cubs	—	539	477	126	19	2	3	44	136	5	26	8	264	333	331	664	67	361	25	8	293	84	—	—	—	—	—	—
2008	23	A+ RAW	Daytona Cubs	—	539	458	133	19	3	3	63	96	5	26	8	290	382	365	747	74	359	18	12	336	84	—	—	—	—	—	—
2009	24	AA MLE	Tennessee Smokies	—	534	487	139	21	4	3	38	93	0	35	12	285	337	363	701	78	348	17	7	306	93	—	—	—	—	—	—
2009	24	AA RAW	Tennessee Smokies	—	534	467	140	21	4	4	58	76	0	35	12	300	377	388	765	88	351	14	11	342	93	—	—	—	—	—	—
2010	25	AAA MLE	Iowa Cubs	—	407	377	86	8	1	3	17	101	3	23	9	228	267	279	546	50	300	25	4	239	48	—	—	—	—	—	—
2010	25	AAA RAW	Iowa Cubs	—	407	367	91	9	1	3	27	80	3	23	9	248	305	302	607	54	306	20	7	273	48	—	—	—	—	—	—
2011	26	AA MLE	2 teams	—	284	265	71	13	2	3	15	45	1	23	4	268	310	366	676	98	313	16	5	294	85	—	—	—	—	—	—
2011	26	AA RAW	2 teams	—	284	254	76	13	2	4	26	35	1	23	4	299	367	413	780	114	335	12	9	348	85	—	—	—	—	—	—
2012	27	AA MLE	2 teams	—	463	417	113	19	3	6	30	110	1	18	7	271	321	374	696	103	350	24	6	299	88	—	—	—	—	—	—
2012	27	AA RAW	2 teams	—	463	399	119	21	3	7	48	87	1	18	7	298	375	419	794	120	361	19	10	346	88	—	—	—	—	—	—
2013	28	AAA MLE	3 teams	—	667	598	140	22	3	15	54	171	3	34	11	234	301	356	657	122	299	26	8	290	83	—	—	—	—	—	—
2013	28	AAA RAW	3 teams	—	667	576	168	29	3	18	76	133	3	34	11	292	377	446	823	155	348	20	11	362	83	—	—	—	—	—	—
2014	29	MLB MLE	3 teams	—	166	151	29	4	1	2	11	43	0	6	2	192	247	272	518	79	248	26	7	227	40	-12	+0	+3	-2	+4	-0.7
2014	29	MLB RAW	3 teams	—	166	150	32	5	1	2	12	40	0	6	2	213	272	300	572	87	270	24	7	255	40	-12	+0	+3	-2	+4	-0.7
2016	31	INTL MLE	Yaquis de Obregon	—	125	114	24	2	1	2	8	25	0	5	0	211	262	298	561	88	250	20	6	—	—	—	—	—	—	—	—
2016	31	INTL RAW	Yaquis de Obregon	—	125	114	24	2	1	2	8	25	0	5	0	211	262	298	561	88	250	20	6	249	55	—	—	—	—	—	—
2017	32	AAA MLE	2 teams	—	332	306	72	17	3	4	22	98	0	11	4	235	287	350	636	114	327	30	7	282	77	—	—	—	—	—	—
2017	32	AAA RAW	2 teams	—	332	298	82	19	3	5	30	86	0	11	4	275	341	409	751	134	365	26	9	332	77	—	—	—	—	—	—
2018	33	AAA MLE	2 teams	—	481	456	117	24	3	9	20	116	0	9	1	257	288	382	669	125	323	24	4	292	84	—	—	—	—	—	—
2018	33	AAA RAW	2 teams	—	481	448	131	30	3	10	28	105	0	9	1	292	334	440	774	147	360	22	6	340	84	—	—	—	—	—	—
2019	34	AAA MLE	Iowa Cubs	—	386	366	81	16	0	8	14	112	1	9	4	221	252	331	583	109	292	29	4	252	57	—	—	—	—	—	—
2019	34	AAA RAW	Iowa Cubs	—	386	359	108	23	0	12	21	89	1	9	4	301	341	465	806	164	366	23	5	352	57	—	—	—	—	—	—
2005	20	ROK MLE	GCL Marlins	—	40	38	11	2	1	0	2	7	0	1	0	289	325	395	720	105	345	18	5	297	87	—	—	—	—	—	—
2006	21	ROK MLE	GCL Marlins	—	40	37	8	1	1	1	3	12	0	1	1	216	275	378	653	162	266	30	8	257	60	—	—	—	—	—	—
2007	22	A MLE	2 teams	—	470	444	105	15	2	1	20	152	3	20	7	236	274	286	560	50	349	32	4	250	55	—	—	—	—	—	—
2008	23	A+ MLE	Daytona Cubs	—	539	485	126	19	2	3	44	136	5	26	8	260	333	326	658	66	347	25	8	293	84	—	—	—	—	—	—
2009	24	AA MLE	Tennessee Smokies	—	534	491	139	21	4	3	38	93	0	35	12	283	337	360	698	77	340	17	7	306	93	—	—	—	—	—	—
2010	25	AAA MLE	Iowa Cubs	—	407	384	86	8	1	3	17	101	3	23	9	224	267	273	540	49	290	25	4	239	48	—	—	—	—	—	—
2011	26	AA MLE	2 teams	—	284	266	71	13	2	3	15	45	1	23	4	267	310	365	674	98	309	16	5	294	85	—	—	—	—	—	—
2012	27	AA MLE	2 teams	—	463	429	113	19	3	6	30	110	1	18	7	263	321	364	685	100	332	24	6	299	88	—	—	—	—	—	—
2013	28	AAA MLE	3 teams	—	667	605	140	22	3	15	54	171	3	34	11	231	301	352	653	121	291	26	8	290	83	—	—	—	—	—	—
2014	29	MLB MLE	3 teams	—	166	154	29	4	1	2	11	43	0	6	2	188	247	266	513	78	253	26	7	227	40	—	—	—	—	—	—
2017	32	AAA MLE	2 teams	—	332	307	72	17	3	4	22	98	0	11	4	235	287	349	635	114	318	30	7	282	77	—	—	—	—	—	—
2018	33	AAA MLE	2 teams	—	481	458	117	24	3	9	20	116	0	9	1	255	288	380	668	124	319	24	4	292	84	—	—	—	—	—	—
2019	34	AAA MLE	Iowa Cubs	—	386	368	81	16	0	8	14	112	1	9	4	220	252	329	581	109	285	29	4	252	57	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	426	391	92	18	4	5	29	108	0	7	2	235	288	340	628	105	310	25	7	279	70	-13	+1	-1	-21	+9	-2.5
/ 162G	—	A+C		—	650	597	140	27	6	8	44	165	0	11	3	235	287	340	628	106	308	25	7	279	70	-19	+1	-1	-32	+14	-3.8
Career	—	MLE		—	4934	4533	1122	183	27	60	298	1221	17	221	70	248	296	340	636	92	323	25	6	272	70	-13	+1	-1	-21	+9	-2.5
/ 162G	—	MLE		—	650	597	148	24	4	8	39	161	2	29	9	248	296	342	637	94	324	25	6	272	70	-19	+1	-1	-32	+14	-3.8

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.

2019 AAAIowa Cubs · 386 PAwOBA .345 → .252 (−93)K% 23.1% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.06%	÷1.025	×1.290	—	—	29.02%
BB% (unintentional) /PA	5.18%	÷0.968	×0.710	—	×0.940	3.57%
HBP% /PA	0.26%	—	×0.980	—	×0.940	0.24%
Singles /BIP	27.04%	÷0.993	×0.900	×0.953	×0.940	21.96%
Doubles /BIP	8.52%	÷1.014	×0.810	×0.953	×0.940	6.10%
Triples /BIP	0.00%	÷1.029	×0.810	×0.953	×0.940	0.00%
Home runs /BIP	4.44%	÷1.050	×0.780	—	×0.940	3.10%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, BB 94 — 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 ×0.953.

Result: wOBA .345 → .252; ISO .164 → .111; BABIP .366 → .285. 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 AAAToledo Mud Hens · 296 PAwOBA .358 → .287 (−71)K% 20.3% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.27%	÷1.011	×1.200	—	—	24.07%
BB% (unintentional) /PA	7.09%	÷0.980	×0.690	—	×0.942	4.70%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	25.47%	÷1.005	×0.930	×0.986	×0.942	21.88%
Doubles /BIP	10.38%	÷1.038	×0.830	×0.986	×0.942	7.70%
Triples /BIP	0.47%	÷1.038	×0.970	×0.986	×0.942	0.41%
Home runs /BIP	3.30%	÷0.893	×0.840	—	×0.942	2.92%

Factors used: league row IL. Park (home-season share, regressed): HR 79, 1B 101, 2B 108, 3B 108, K 102, BB 96 — 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 .358 → .287; ISO .165 → .134; BABIP .372 → .306. 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 AAAToledo Mud Hens · 239 PAwOBA .332 → .264 (−67)K% 24.7% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.69%	÷1.004	×1.200	—	—	29.51%
BB% (unintentional) /PA	7.95%	÷0.996	×0.690	—	×0.952	5.24%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	28.21%	÷1.054	×0.930	×0.986	×0.952	23.36%
Doubles /BIP	8.33%	÷0.916	×0.830	×0.986	×0.952	7.08%
Triples /BIP	0.64%	÷1.150	×0.970	×0.986	×0.952	0.51%
Home runs /BIP	2.56%	÷1.049	×0.840	—	×0.952	1.95%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — 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 ×0.986.

Result: wOBA .332 → .264; ISO .126 → .101; BABIP .372 → .308. 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 AAARound Rock Express · 29 PAwOBA .303 → .237 (−66)K% 27.6% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.59%	÷1.015	×1.290	—	—	35.08%
BB% (unintentional) /PA	6.90%	÷1.033	×0.710	—	×0.982	4.65%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	36.84%	÷0.984	×0.900	—	×0.982	33.09%
Doubles /BIP	5.26%	÷1.055	×0.810	—	×0.982	3.97%
Triples /BIP	0.00%	÷0.953	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.027	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 97, 2B 111, 3B 91, K 103, BB 107 — 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 .303 → .237; ISO .037 → .026; BABIP .421 → .371. 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 AAFrisco RoughRiders · 23 PAwOBA .379 → .307 (−72)K% 21.7% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.74%	÷0.983	×1.220	—	—	26.97%
BB% (unintentional) /PA	0.00%	÷1.055	×0.700	—	×0.958	0.00%
HBP% /PA	0.00%	—	×0.870	—	×0.958	0.00%
Singles /BIP	23.53%	÷1.030	×0.920	—	×0.958	20.14%
Doubles /BIP	5.88%	÷0.890	×0.840	—	×0.958	5.32%
Triples /BIP	5.88%	÷0.921	×0.940	—	×0.958	5.75%
Home runs /BIP	5.88%	÷1.322	×0.800	—	×0.958	3.41%

Factors used: league row TL. Park (home-season share, regressed): HR 164, 1B 106, 2B 78, 3B 84, K 97, BB 111 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .379 → .307; ISO .273 → .207; BABIP .353 → .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).

2013 AAARound Rock Express · 551 PAwOBA .364 → .291 (−73)K% 19.4% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷0.978	×1.290	—	—	25.61%
BB% (unintentional) /PA	11.25%	÷0.984	×0.710	—	×0.992	8.05%
HBP% /PA	0.36%	—	×0.980	—	×0.992	0.35%
Singles /BIP	26.78%	÷1.056	×0.900	×0.984	×0.992	22.29%
Doubles /BIP	6.56%	÷1.009	×0.810	×0.984	×0.992	5.14%
Triples /BIP	0.82%	÷0.900	×0.810	×0.984	×0.992	0.72%
Home runs /BIP	4.37%	÷0.915	×0.780	—	×0.992	3.70%

Factors used: league row PCL. Park (home-season share, regressed): HR 83, 1B 111, 2B 102, 3B 80, K 96, BB 97 — 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 ×0.984.

Result: wOBA .364 → .291; ISO .165 → .136; BABIP .351 → .287. 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 AATennessee Smokies · 293 PAwOBA .331 → .300 (−32)K% 16.0% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.04%	÷0.976	×1.220	—	—	20.05%
BB% (unintentional) /PA	9.56%	÷0.983	×0.680	—	×0.978	6.46%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	27.32%	÷0.991	×0.920	×1.050	×0.978	26.05%
Doubles /BIP	5.85%	÷1.033	×0.910	×1.050	×0.978	5.29%
Triples /BIP	0.49%	÷1.082	×0.880	×1.050	×0.978	0.41%
Home runs /BIP	2.44%	÷1.028	×0.800	—	×0.978	1.86%

Factors used: league row SL. Park (home-season share, regressed): HR 106, 1B 98, 2B 107, 3B 116, K 95, BB 97 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .331 → .300; ISO .115 → .100; BABIP .340 → .319. 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 AAAIowa Cubs · 170 PAwOBA .347 → .297 (−50)K% 23.5% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.004	×1.290	—	—	30.24%
BB% (unintentional) /PA	8.82%	÷0.938	×0.710	—	×1.003	6.70%
HBP% /PA	0.59%	—	×0.980	—	×1.003	0.58%
Singles /BIP	29.91%	÷1.028	×0.900	×1.035	×1.003	27.19%
Doubles /BIP	8.41%	÷1.049	×0.810	×1.035	×1.003	6.74%
Triples /BIP	1.87%	÷0.953	×0.810	×1.035	×1.003	1.65%
Home runs /BIP	1.87%	÷0.863	×0.780	—	×1.003	1.70%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 110, 3B 91, K 101, BB 88 — 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 ×1.035.

Result: wOBA .347 → .297; ISO .129 → .109; BABIP .402 → .355. 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 — .