Andy Wilkins

Pos1B

B/TL/R

Born1988-09-13

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	28	AACIN	274	.254/.362/.474	12	2	75	—	.197/.277/.357
2018	29	AAA/AA/INTL3 orgs	437	.200/.321/.424	23	2	78	—	.145/.209/.327
2019	30	AA/A+2 orgs	211	.179/.293/.324	7	0	23	—	.122/.202/.222

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)
2010	21	ROK	Great Falls Voyagers	—	256	218	67	14	1	6	33	31	1	7	2	307	401	463	864	156	332	12	13	381	67	—	—	—	—	—	—
2011	22	A+	Winston-Salem Dash	—	556	493	137	33	0	23	56	91	0	2	2	278	352	485	836	207	298	16	10	364	76	—	—	—	—	—	—
2012	23	AA	Birmingham Barons	—	502	435	104	28	1	17	63	94	1	6	4	239	337	425	762	186	266	19	13	339	82	—	—	—	—	—	—
2012	23	INTL	Salt River Rafters	—	98	89	24	4	0	3	8	22	0	2	1	270	330	416	746	146	323	22	8	330	110	—	—	—	—	—	—
2013	24	AAA	Charlotte Knights	—	234	215	57	13	0	7	14	52	2	2	1	265	316	423	739	158	314	22	6	325	71	—	—	—	—	—	—
2013	24	AA	Birmingham Barons	—	285	243	70	16	0	10	38	58	2	3	0	288	389	477	866	189	339	20	13	383	88	—	—	—	—	—	—
2013	24	INTL	Tiburones de La Guaira	—	120	105	33	6	1	3	12	17	2	2	0	314	395	476	871	162	353	14	10	385	147	—	—	—	—	—	—
2014	25	MLB	Chicago White Sox	—	45	43	6	2	0	0	2	22	0	0	0	140	178	186	364	47	286	49	4	169	0	-5	+0	-1	-10	+1	-1.6
2014	25	AAA	Charlotte Knights	—	529	491	144	38	1	30	34	91	1	0	1	293	340	558	898	265	306	17	6	388	101	—	—	—	—	—	—
2015	26	AAA	Oklahoma City Dodgers	—	497	434	109	29	1	18	47	94	0	0	0	251	324	447	771	196	270	19	9	331	68	—	—	—	—	—	—
2015	26	INTL	Aguilas Cibaenas	—	34	31	6	1	0	0	2	9	1	0	0	194	265	226	491	32	273	26	6	234	44	—	—	—	—	—	—
2016	27	MLB	Milwaukee Brewers	—	27	24	3	1	0	1	3	10	0	1	0	125	222	292	514	167	154	37	11	236	45	-2	+0	-1	-7	+1	-0.9
2016	27	AAA	Colorado Springs Sky Sox	—	374	327	77	20	2	12	41	91	2	3	0	235	324	419	743	183	285	24	11	329	40	—	—	—	—	—	—
2017	28	AA	Chattanooga Lookouts	—	274	232	59	15	0	12	37	70	2	2	0	254	362	474	836	220	307	26	14	367	75	—	—	—	—	—	—
2018	29	AAA	Rochester Red Wings	—	80	74	12	2	0	2	6	23	0	1	0	162	225	270	495	108	204	29	8	227	2	—	—	—	—	—	—
2018	29	AA	Chattanooga Lookouts	—	159	136	30	5	1	12	21	40	2	1	0	221	333	537	870	316	214	25	13	377	68	—	—	—	—	—	—
2018	29	INTL	Tomateros de Culiacan	—	198	160	32	5	0	9	32	55	5	0	1	200	350	400	750	200	237	28	16	341	117	—	—	—	—	—	—
2019	30	AA	Mississippi Braves	—	133	113	23	4	0	4	17	44	1	0	0	204	313	345	658	142	284	33	13	298	34	—	—	—	—	—	—
2019	30	A+	Florida Fire Frogs	—	78	66	9	1	0	3	11	31	0	0	0	136	260	288	548	152	182	40	14	253	3	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	72	67	9	3	0	1	5	32	0	1	0	134	194	224	418	90	235	44	7	194	17	-7	+0	-1	-17	+2	-2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	ROK MLE	Great Falls Voyagers	—	256	233	52	10	1	5	18	45	1	7	2	223	282	339	621	116	242	18	7	267	67	—	—	—	—	—	—
2011	22	A+ MLE	Winston-Salem Dash	—	556	513	113	25	0	19	36	136	0	2	2	220	271	380	652	160	255	24	6	280	76	—	—	—	—	—	—
2012	23	AA MLE	Birmingham Barons	—	502	456	96	26	1	17	42	114	1	6	4	211	279	384	662	173	240	23	8	289	82	—	—	—	—	—	—
2013	24	AAA MLE	Charlotte Knights	—	234	219	49	10	0	6	10	61	2	2	1	224	264	352	616	128	276	26	4	273	71	—	—	—	—	—	—
2013	24	AA MLE	Birmingham Barons	—	285	256	60	13	0	8	25	76	2	3	0	234	307	379	686	145	292	27	9	299	88	—	—	—	—	—	—
2014	25	MLB MLE	Chicago White Sox	—	45	43	6	2	0	0	2	22	0	0	0	140	178	186	364	47	286	49	4	168	0	-5	+0	-1	-10	+1	-1.6
2014	25	AAA MLE	Charlotte Knights	—	529	505	128	32	1	23	20	112	1	0	1	253	283	457	741	204	280	21	4	317	101	—	—	—	—	—	—
2015	26	AAA MLE	Oklahoma City Dodgers	—	497	452	94	24	1	17	29	123	0	0	0	208	256	378	634	170	221	25	6	269	68	—	—	—	—	—	—
2016	27	MLB MLE	Milwaukee Brewers	—	27	24	3	1	0	1	3	10	0	1	0	125	222	292	514	167	154	37	11	235	45	-2	+0	-1	-7	+1	-0.9
2016	27	AAA MLE	Colorado Springs Sky Sox	—	374	343	55	12	1	9	25	122	2	3	0	160	222	280	502	120	212	33	7	227	40	—	—	—	—	—	—
2017	28	AA MLE	Chattanooga Lookouts	—	274	244	48	12	0	9	25	85	2	2	0	197	277	357	633	160	245	31	9	279	75	—	—	—	—	—	—
2018	29	AAA MLE	Rochester Red Wings	—	80	76	9	1	0	2	4	28	0	1	0	118	163	211	373	92	171	35	5	171	2	—	—	—	—	—	—
2018	29	AA MLE	Chattanooga Lookouts	—	159	145	23	4	1	9	12	51	2	1	0	159	233	386	619	228	166	32	8	269	68	—	—	—	—	—	—
2019	30	AA MLE	Mississippi Braves	—	133	119	17	3	0	3	11	55	1	0	0	143	221	244	465	101	223	41	8	219	34	—	—	—	—	—	—
2019	30	A+ MLE	Florida Fire Frogs	—	78	70	6	1	0	2	7	42	0	0	0	86	169	186	355	100	152	54	9	172	3	—	—	—	—	—	—
2010	21	ROK MLE	Great Falls Voyagers	—	256	233	52	10	1	5	18	45	1	7	2	223	282	339	621	116	253	18	7	267	67	—	—	—	—	—	—
2010	21	ROK RAW	Great Falls Voyagers	—	256	218	67	14	1	6	33	31	1	7	2	307	401	463	864	156	332	12	13	381	67	—	—	—	—	—	—
2011	22	A+ MLE	Winston-Salem Dash	—	556	513	113	25	0	19	36	136	0	2	2	220	271	380	652	160	260	24	6	280	76	—	—	—	—	—	—
2011	22	A+ RAW	Winston-Salem Dash	—	556	493	137	33	0	23	56	91	0	2	2	278	352	485	836	207	298	16	10	364	76	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	600	545	115	31	1	20	50	137	1	8	5	211	279	382	660	171	242	23	8	289	82	—	—	—	—	—	—
2012	23	AA RAW	2 teams	—	600	524	128	32	1	20	71	116	1	8	5	244	336	424	759	179	276	19	12	337	82	—	—	—	—	—	—
2013	24	AA MLE	3 teams	—	639	585	134	28	0	17	42	169	6	7	1	229	288	364	652	135	290	26	7	287	81	—	—	—	—	—	—
2013	24	AA RAW	3 teams	—	639	563	160	35	1	20	64	127	6	7	1	284	363	456	820	172	333	20	10	362	81	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	574	548	134	34	1	23	22	134	1	0	1	245	275	436	711	192	282	23	4	305	93	—	—	—	—	—	—
2014	25	AAA RAW	2 teams	—	574	534	150	40	1	30	36	113	1	0	1	281	327	528	856	247	305	20	6	371	93	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	531	483	99	25	1	18	31	132	1	0	0	205	254	373	627	168	233	25	6	269	68	—	—	—	—	—	—
2015	26	AAA RAW	2 teams	—	531	465	115	30	1	18	49	103	1	0	0	247	320	432	753	185	270	19	9	324	68	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	401	367	58	13	1	10	28	132	2	4	0	158	222	281	502	123	210	33	7	228	40	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	401	351	80	21	2	13	44	101	2	4	0	228	317	410	728	182	278	25	11	322	40	—	—	—	—	—	—
2017	28	AA MLE	Chattanooga Lookouts	—	274	244	48	12	0	9	25	85	2	2	0	197	277	357	633	160	255	31	9	279	75	—	—	—	—	—	—
2017	28	AA RAW	Chattanooga Lookouts	—	274	232	59	15	0	12	37	70	2	2	0	254	362	474	836	220	307	26	14	367	75	—	—	—	—	—	—
2018	29	INTL MLE	3 teams	—	437	400	61	10	2	20	29	145	7	2	1	152	222	338	560	185	174	33	7	236	46	—	—	—	—	—	—
2018	29	INTL RAW	3 teams	—	437	370	74	12	1	23	59	118	7	2	1	200	321	424	745	224	222	27	14	333	46	—	—	—	—	—	—
2019	30	AA MLE	2 teams	—	211	188	23	4	0	5	19	97	1	0	0	122	207	223	430	101	202	46	9	202	23	—	—	—	—	—	—
2019	30	AA RAW	2 teams	—	211	179	32	5	0	7	28	75	1	0	0	179	293	324	617	145	250	36	13	281	23	—	—	—	—	—	—
2010	21	ROK MLE	Great Falls Voyagers	—	256	235	52	10	1	5	18	45	1	7	2	221	282	336	618	115	242	18	7	267	67	—	—	—	—	—	—
2011	22	A+ MLE	Winston-Salem Dash	—	556	515	113	25	0	19	36	136	0	2	2	219	271	379	650	159	255	24	6	280	76	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	600	544	115	31	1	20	50	137	1	8	5	211	279	382	661	171	240	23	8	289	82	—	—	—	—	—	—
2013	24	AA MLE	3 teams	—	639	586	134	28	0	17	42	169	6	7	1	229	288	363	651	135	285	26	7	287	81	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	574	546	134	34	1	23	22	134	1	0	1	245	275	438	713	192	280	23	4	305	93	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	531	494	99	25	1	18	31	132	1	0	0	200	254	364	619	164	221	25	6	269	68	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	401	368	58	13	1	10	28	132	2	4	0	158	222	280	502	122	208	33	7	228	40	—	—	—	—	—	—
2017	28	AA MLE	Chattanooga Lookouts	—	274	245	48	12	0	9	25	85	2	2	0	196	277	355	632	159	245	31	9	279	75	—	—	—	—	—	—
2018	29	INTL MLE	3 teams	—	437	398	61	10	2	20	29	145	7	2	1	153	222	339	562	186	168	33	7	236	46	—	—	—	—	—	—
2019	30	AA MLE	2 teams	—	211	189	23	4	0	5	19	97	1	0	0	122	207	222	429	101	197	46	9	202	23	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	72	67	9	3	0	1	5	32	0	1	0	134	194	224	418	90	235	44	7	194	69	-7	+0	-1	-17	+2	-2.5
/ 162G	—	A+C		—	650	605	81	27	0	9	45	289	0	9	0	134	194	223	417	89	235	44	7	194	69	-64	+2	-13	-157	+14	-22.3
Career	—	MLE		—	4479	4106	837	192	7	146	300	1212	22	32	12	204	262	361	622	157	247	27	7	271	69	-7	+0	-1	-17	+2	-2.5
/ 162G	—	MLE		—	650	596	121	28	1	21	44	176	3	5	2	203	262	359	621	156	246	27	7	271	69	-64	+2	-13	-157	+14	-22.3

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 AAMississippi Braves · 133 PAwOBA .295 → .219 (−76)K% 33.1% → 41.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.08%	÷0.975	×1.220	—	—	41.38%
BB% (unintentional) /PA	12.78%	÷0.967	×0.680	—	×0.940	8.45%
HBP% /PA	0.75%	—	×0.840	—	×0.940	0.59%
Singles /BIP	21.74%	÷1.068	×0.920	×0.950	×0.940	16.72%
Doubles /BIP	5.80%	÷0.906	×0.910	×0.950	×0.940	5.20%
Triples /BIP	0.00%	÷0.900	×0.880	×0.950	×0.940	0.00%
Home runs /BIP	5.80%	÷0.900	×0.800	—	×0.940	4.84%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 114, 2B 81, 3B 80, K 95, BB 93 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .295 → .219; ISO .142 → .115; BABIP .284 → .223. 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).

2019 A+Florida Fire Frogs · 78 PAwOBA .250 → .172 (−78)K% 39.7% → 54.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.74%	÷1.036	×1.420	—	—	54.45%
BB% (unintentional) /PA	14.10%	÷1.057	×0.750	—	×0.940	9.41%
HBP% /PA	0.00%	—	×0.930	—	×0.940	0.00%
Singles /BIP	14.29%	÷1.005	×0.920	—	×0.940	12.29%
Doubles /BIP	2.86%	÷1.115	×0.960	—	×0.940	2.31%
Triples /BIP	0.00%	÷1.033	×0.810	—	×0.940	0.00%
Home runs /BIP	8.57%	÷0.920	×0.880	—	×0.940	7.71%

Factors used: league row FSL. Park (home-season share, regressed): HR 84, 1B 101, 2B 123, 3B 107, K 107, BB 111 — applied at half strength. Age: age 31 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .250 → .172; ISO .152 → .109; BABIP .182 → .152. 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 AAChattanooga Lookouts · 159 PAwOBA .365 → .269 (−96)K% 25.2% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.16%	÷0.961	×1.220	—	—	31.95%
BB% (unintentional) /PA	12.58%	÷1.078	×0.680	—	×0.948	7.52%
HBP% /PA	1.26%	—	×0.840	—	×0.948	1.00%
Singles /BIP	12.50%	÷1.072	×0.920	×0.955	×0.948	9.71%
Doubles /BIP	5.21%	÷0.979	×0.910	×0.955	×0.948	4.38%
Triples /BIP	1.04%	÷0.900	×0.880	×0.955	×0.948	0.92%
Home runs /BIP	12.50%	÷0.975	×0.800	—	×0.948	9.72%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 114, 2B 96, 3B 80, K 92, BB 116 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .365 → .269; ISO .316 → .246; BABIP .214 → .166. 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 AAARochester Red Wings · 80 PAwOBA .221 → .171 (−50)K% 28.7% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.75%	÷0.978	×1.200	—	—	35.29%
BB% (unintentional) /PA	7.50%	÷1.008	×0.690	—	×0.972	4.99%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	15.69%	÷1.023	×0.930	×0.971	×0.972	13.45%
Doubles /BIP	3.92%	÷1.009	×0.830	×0.971	×0.972	3.04%
Triples /BIP	0.00%	÷1.150	×0.970	×0.971	×0.972	0.00%
Home runs /BIP	3.92%	÷0.879	×0.840	—	×0.972	3.64%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, BB 102 — 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 ×0.971.

Result: wOBA .221 → .171; ISO .108 → .090; BABIP .204 → .171. 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 AAChattanooga Lookouts · 274 PAwOBA .360 → .279 (−81)K% 25.5% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.55%	÷1.008	×1.220	—	—	30.93%
BB% (unintentional) /PA	13.14%	÷0.940	×0.680	—	×0.958	9.11%
HBP% /PA	0.73%	—	×0.840	—	×0.958	0.59%
Singles /BIP	19.75%	÷1.007	×0.920	×0.952	×0.958	16.46%
Doubles /BIP	9.26%	÷1.084	×0.910	×0.952	×0.958	7.09%
Triples /BIP	0.00%	÷1.018	×0.880	×0.952	×0.958	0.00%
Home runs /BIP	7.41%	÷0.975	×0.800	—	×0.958	5.82%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 101, 2B 117, 3B 104, K 102, BB 88 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .360 → .279; ISO .220 → .172; BABIP .307 → .245. 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 AAAColorado Springs Sky Sox · 374 PAwOBA .319 → .227 (−92)K% 24.3% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.33%	÷0.964	×1.290	—	—	32.56%
BB% (unintentional) /PA	9.89%	÷1.052	×0.710	—	×0.992	6.62%
HBP% /PA	0.53%	—	×0.980	—	×0.992	0.52%
Singles /BIP	18.22%	÷1.046	×0.900	×0.950	×0.992	14.77%
Doubles /BIP	8.47%	÷1.196	×0.810	×0.950	×0.992	5.41%
Triples /BIP	0.85%	÷1.150	×0.810	×0.950	×0.992	0.56%
Home runs /BIP	5.08%	÷0.973	×0.780	—	×0.992	4.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — 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 ×0.950.

Result: wOBA .319 → .227; ISO .183 → .129; BABIP .285 → .212. 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 AAAOklahoma City Dodgers · 497 PAwOBA .329 → .269 (−60)K% 18.9% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.91%	÷0.984	×1.290	—	—	24.79%
BB% (unintentional) /PA	8.85%	÷1.095	×0.710	—	×1.003	5.76%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	17.94%	÷1.028	×0.900	×0.950	×1.003	14.97%
Doubles /BIP	8.53%	÷0.965	×0.810	×0.950	×1.003	6.82%
Triples /BIP	0.29%	÷0.941	×0.810	×0.950	×1.003	0.24%
Home runs /BIP	5.29%	÷0.866	×0.780	—	×1.003	4.78%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 93, 3B 88, K 97, BB 119 — 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 ×0.950.

Result: wOBA .329 → .269; ISO .196 → .172; BABIP .270 → .221. 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 AAACharlotte Knights · 529 PAwOBA .376 → .317 (−58)K% 17.2% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.20%	÷0.975	×1.200	—	—	21.17%
BB% (unintentional) /PA	5.48%	÷1.012	×0.690	—	×1.018	3.81%
HBP% /PA	0.19%	—	×0.940	—	×1.018	0.18%
Singles /BIP	18.75%	÷0.966	×0.930	×0.991	×1.018	18.23%
Doubles /BIP	9.50%	÷0.977	×0.830	×0.991	×1.018	8.14%
Triples /BIP	0.25%	÷0.910	×0.970	×0.991	×1.018	0.27%
Home runs /BIP	7.50%	÷1.118	×0.840	—	×1.018	5.73%

Factors used: league row IL. Park (home-season share, regressed): HR 124, 1B 93, 2B 95, 3B 82, K 95, BB 102 — 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 ×0.991.

Result: wOBA .376 → .317; ISO .265 → .209; BABIP .306 → .280. 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 — .