Casper Wells

PosRF

B/TR/R

Born1984-11-23

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	28	INTLLeones del Ca…	59	.178/.351/.267	1	0	84	—
2013	28	MLBPHI	102	.126/.186/.147	0	0	-4	-1.4
2014	29	AAACHC	69	.197/.290/.230	0	0	2	—	.138/.188/.154
2015	30	AADET	48	.209/.292/.326	1	0	19	—	.156/.208/.244
2016	31	No MLB games played
2017	32	No MLB games played
2018	33	No MLB games played
2019	34	No MLB games played
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 -1.4

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	20	ROK	GCL Tigers	—	167	141	31	9	5	5	18	59	8	6	0	220	341	461	802	241	338	35	11	355	26	—	—	—	—	—	—
2006	21	A+	Lakeland Tigers	—	41	33	5	1	0	1	4	9	3	1	0	152	300	273	573	121	174	22	10	270	38	—	—	—	—	—	—
2008	23	AA	Erie SeaWolves	—	313	270	78	18	6	17	30	66	9	8	3	289	379	589	968	300	323	21	10	413	116	—	—	—	—	—	—
2008	23	A	West Michigan Whitecaps	—	211	179	43	7	0	10	22	39	9	17	5	240	352	447	799	207	252	18	10	357	67	—	—	—	—	—	—
2009	24	AA	Erie SeaWolves	—	367	311	81	18	4	15	43	103	11	8	8	260	370	489	859	228	340	28	12	378	86	—	—	—	—	—	—
2010	25	MLB	Detroit Tigers	—	99	93	30	6	1	4	6	19	0	0	1	323	364	538	901	215	371	19	6	394	158	+7	-0	+4	-6	+2	0.7
2010	25	AAA	Toledo Mud Hens	—	430	387	90	22	6	21	34	111	9	7	8	233	309	483	793	251	271	26	8	347	76	—	—	—	—	—	—
2010	25	INTL	Leones del Escogido	—	36	33	8	3	1	0	2	10	0	0	0	242	286	394	680	152	348	28	6	291	83	—	—	—	—	—	—
2011	26	MLB	Seattle Mariners	—	241	215	51	11	0	11	18	71	7	3	2	237	317	442	759	205	301	29	7	336	112	+4	-0	+3	-3	+5	0.9
2011	26	AAA	Toledo Mud Hens	—	30	27	10	2	2	2	3	8	0	0	0	370	433	815	1.248	444	471	27	10	522	185	—	—	—	—	—	—
2012	27	MLB	Seattle Mariners	—	316	285	65	12	3	10	26	80	4	3	0	228	302	396	698	168	282	25	8	311	99	-0	+1	-1	-4	+7	0.2
2012	27	AAA	Tacoma Rainiers	—	95	71	17	7	2	2	20	17	2	2	1	239	419	479	898	239	283	18	21	392	106	—	—	—	—	—	—
2013	28	MLB	Philadelphia Phillies	—	102	95	12	2	0	0	7	31	0	0	1	126	186	147	334	21	188	30	7	162	-4	-13	-0	-1	-2	+2	-1.4
2013	28	INTL	Leones del Caracas	—	59	45	8	1	0	1	9	12	3	0	1	178	351	267	618	89	206	20	15	293	84	—	—	—	—	—	—
2014	29	AAA	Iowa Cubs	—	69	61	12	2	0	0	8	20	0	0	0	197	290	230	519	33	293	29	12	249	2	—	—	—	—	—	—
2015	30	AA	Erie SeaWolves	—	48	43	9	2	0	1	4	17	1	0	0	209	292	326	617	116	320	35	8	283	19	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	758	688	158	31	4	25	57	201	11	6	4	230	299	395	694	166	288	27	8	310	96	-4	-0	+5	-15	+16	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	20	ROK MLE	GCL Tigers	—	167	148	18	5	3	3	11	85	8	6	0	122	222	257	478	135	238	51	7	207	26	—	—	—	—	—	—
2006	21	A+ MLE	Lakeland Tigers	—	41	34	5	1	0	1	3	13	3	1	0	147	275	265	540	118	163	32	7	225	38	—	—	—	—	—	—
2008	23	AA MLE	Erie SeaWolves	—	313	279	69	15	6	13	21	80	9	8	3	247	320	484	804	237	291	26	7	340	116	—	—	—	—	—	—
2008	23	A MLE	West Michigan Whitecaps	—	211	186	35	5	0	8	15	53	9	17	5	188	281	344	625	156	208	25	7	267	67	—	—	—	—	—	—
2009	24	AA MLE	Erie SeaWolves	—	367	326	69	14	4	11	28	126	11	8	8	212	296	380	676	169	298	34	8	296	86	—	—	—	—	—	—
2010	25	MLB MLE	Detroit Tigers	—	99	93	30	6	1	4	6	19	0	0	1	323	364	538	901	215	371	19	6	402	158	+7	-0	+4	-6	+2	0.7
2010	25	AAA MLE	Toledo Mud Hens	—	430	395	75	18	5	18	26	131	9	7	8	190	256	397	653	208	232	30	6	280	76	—	—	—	—	—	—
2011	26	MLB MLE	Seattle Mariners	—	241	217	51	11	0	11	16	71	7	3	2	235	308	438	746	203	301	29	7	334	112	+4	-0	+3	-3	+5	0.9
2011	26	AAA MLE	Toledo Mud Hens	—	30	28	10	2	2	2	2	10	0	0	0	357	400	786	1.186	429	438	33	7	441	185	—	—	—	—	—	—
2012	27	MLB MLE	Seattle Mariners	—	316	285	65	12	3	10	26	80	4	3	0	228	302	396	698	168	282	25	8	315	99	-0	+1	-1	-4	+7	0.2
2012	27	AAA MLE	Tacoma Rainiers	—	95	78	17	7	2	2	13	21	2	2	1	218	344	436	780	218	250	22	14	325	106	—	—	—	—	—	—
2013	28	MLB MLE	Philadelphia Phillies	—	102	95	12	2	0	0	7	31	0	0	1	126	186	147	334	21	188	30	7	162	-4	-13	-0	-1	-2	+2	-1.4
2014	29	AAA MLE	Iowa Cubs	—	69	65	9	1	0	0	4	26	0	0	0	138	188	154	342	15	244	38	6	171	2	—	—	—	—	—	—
2015	30	AA MLE	Erie SeaWolves	—	48	45	7	1	0	1	2	22	1	0	0	156	208	244	453	89	275	46	4	196	19	—	—	—	—	—	—
2005	20	ROK MLE	GCL Tigers	—	167	148	18	5	3	3	11	85	8	6	0	122	222	257	478	135	250	51	7	207	26	—	—	—	—	—	—
2005	20	ROK RAW	GCL Tigers	—	167	141	31	9	5	5	18	59	8	6	0	220	341	461	802	241	338	35	11	355	26	—	—	—	—	—	—
2006	21	A+ MLE	Lakeland Tigers	—	41	34	5	1	0	1	3	13	3	1	0	147	275	265	540	118	200	32	7	225	38	—	—	—	—	—	—
2006	21	A+ RAW	Lakeland Tigers	—	41	33	5	1	0	1	4	9	3	1	0	152	300	273	573	121	174	22	10	270	38	—	—	—	—	—	—
2008	23	AA MLE	2 teams	—	524	465	104	20	6	21	36	133	18	25	8	224	304	428	732	204	264	25	7	311	96	—	—	—	—	—	—
2008	23	AA RAW	2 teams	—	524	449	121	25	6	27	52	105	18	25	8	269	368	532	900	263	294	20	10	390	96	—	—	—	—	—	—
2009	24	AA MLE	Erie SeaWolves	—	367	326	69	14	4	11	28	126	11	8	8	212	296	380	676	169	305	34	8	296	86	—	—	—	—	—	—
2009	24	AA RAW	Erie SeaWolves	—	367	311	81	18	4	15	43	103	11	8	8	260	370	489	859	228	340	28	12	378	86	—	—	—	—	—	—
2010	25	AAA MLE	3 teams	—	565	521	114	26	7	24	34	160	9	7	9	219	278	434	712	215	267	28	6	303	91	—	—	—	—	—	—
2010	25	AAA RAW	3 teams	—	565	513	128	31	8	25	42	140	9	7	9	250	317	487	805	238	296	25	7	351	91	—	—	—	—	—	—
2011	26	MLB MLE	2 teams	—	271	245	61	13	2	13	18	81	7	3	2	249	319	478	796	229	318	30	7	346	120	+7	-0	+3	-3	+6	1.3
2011	26	MLB RAW	2 teams	—	271	242	61	13	2	13	21	79	7	3	2	252	330	483	813	231	320	29	8	357	120	+7	-0	+3	-3	+6	1.3
2012	27	MLB MLE	2 teams	—	411	363	82	19	5	12	39	101	6	5	1	226	311	405	716	179	279	25	9	317	101	+0	+1	-1	-4	+9	0.4
2012	27	MLB RAW	2 teams	—	411	356	82	19	5	12	46	97	6	5	1	230	328	413	741	183	282	24	11	330	101	+0	+1	-1	-4	+9	0.4
2013	28	MLB MLE	2 teams	—	161	145	19	3	0	0	11	49	3	0	2	131	208	152	359	21	194	30	7	162	-4	-20	-1	-1	-2	+3	-2.0
2013	28	MLB RAW	2 teams	—	161	140	20	3	0	1	16	43	3	0	2	143	245	186	431	43	194	27	10	210	-4	-20	-1	-1	-2	+3	-2.0
2014	29	AAA MLE	Iowa Cubs	—	69	65	9	1	0	0	4	26	0	0	0	138	188	154	342	15	231	38	6	171	2	—	—	—	—	—	—
2014	29	AAA RAW	Iowa Cubs	—	69	61	12	2	0	0	8	20	0	0	0	197	290	230	519	33	293	29	12	249	2	—	—	—	—	—	—
2015	30	AA MLE	Erie SeaWolves	—	48	45	7	1	0	1	2	22	1	0	0	156	208	244	453	89	273	46	4	196	19	—	—	—	—	—	—
2015	30	AA RAW	Erie SeaWolves	—	48	43	9	2	0	1	4	17	1	0	0	209	292	326	617	116	320	35	8	283	19	—	—	—	—	—	—
2005	20	ROK MLE	GCL Tigers	—	167	146	18	5	3	3	11	85	8	6	0	123	222	260	482	137	238	51	7	207	26	—	—	—	—	—	—
2006	21	A+ MLE	Lakeland Tigers	—	41	35	5	1	0	1	3	13	3	1	0	143	275	257	532	114	163	32	7	225	38	—	—	—	—	—	—
2008	23	AA MLE	2 teams	—	524	465	104	20	6	21	36	133	18	25	8	224	304	428	732	204	258	25	7	311	96	—	—	—	—	—	—
2009	24	AA MLE	Erie SeaWolves	—	367	325	69	14	4	11	28	126	11	8	8	212	296	382	677	169	298	34	8	296	86	—	—	—	—	—	—
2010	25	AAA MLE	3 teams	—	565	517	114	26	7	24	34	160	9	7	9	221	278	437	716	217	258	28	6	303	91	—	—	—	—	—	—
2011	26	MLB MLE	2 teams	—	271	244	61	13	2	13	18	81	7	3	2	250	319	480	798	230	316	30	7	346	120	—	—	—	—	—	—
2012	27	MLB MLE	2 teams	—	411	363	82	19	5	12	39	101	6	5	1	226	311	405	716	179	275	25	9	317	101	—	—	—	—	—	—
2013	28	MLB MLE	2 teams	—	161	146	19	3	0	0	11	49	3	0	2	130	208	151	358	21	188	30	7	162	-4	—	—	—	—	—	—
2014	29	AAA MLE	Iowa Cubs	—	69	65	9	1	0	0	4	26	0	0	0	138	188	154	342	15	244	38	6	171	2	—	—	—	—	—	—
2015	30	AA MLE	Erie SeaWolves	—	48	45	7	1	0	1	2	22	1	0	0	156	208	244	453	89	275	46	4	196	19	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	758	688	158	31	4	25	57	201	11	6	4	230	299	395	694	166	288	27	8	310	82	-4	-0	+5	-15	+16	0.2
/ 162G	—	A+C		—	650	590	135	27	3	21	49	172	9	5	3	229	298	392	689	163	287	26	8	310	82	-3	-0	+4	-13	+14	0.2
Career	—	MLE		—	2624	2357	488	103	27	86	186	796	66	55	30	207	284	383	667	176	271	30	7	289	82	-4	-0	+5	-15	+16	0.2
/ 162G	—	MLE		—	650	584	121	26	7	21	46	197	16	14	7	207	283	384	667	176	272	30	7	289	82	-3	-0	+4	-13	+14	0.2

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.

2015 AAErie SeaWolves · 48 PAwOBA .276 → .196 (−80)K% 35.4% → 45.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.42%	÷0.959	×1.220	—	—	45.04%
BB% (unintentional) /PA	8.33%	÷1.077	×0.700	—	×0.940	5.09%
HBP% /PA	2.08%	—	×0.850	—	×0.940	1.66%
Singles /BIP	23.08%	÷0.995	×0.970	—	×0.940	21.14%
Doubles /BIP	7.69%	÷1.095	×0.860	—	×0.940	5.68%
Triples /BIP	0.00%	÷1.074	×0.950	—	×0.940	0.00%
Home runs /BIP	3.85%	÷1.100	×0.780	—	×0.940	2.56%

Factors used: league row EL. Park (home-season share, regressed): HR 120, 1B 99, 2B 119, 3B 115, K 92, BB 115 — 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).

Result: wOBA .276 → .196; ISO .116 → .072; BABIP .320 → .275. 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 AAAIowa Cubs · 69 PAwOBA .244 → .171 (−72)K% 29.0% → 37.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.99%	÷0.996	×1.290	—	—	37.54%
BB% (unintentional) /PA	11.59%	÷1.249	×0.710	—	×0.972	6.40%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	24.39%	÷1.021	×0.900	—	×0.972	20.90%
Doubles /BIP	4.88%	÷1.111	×0.810	—	×0.972	3.46%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.972	0.00%
Home runs /BIP	0.00%	÷0.929	×0.780	—	×0.972	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 104, 2B 122, 3B 130, K 99, BB 150 — 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 .244 → .171; ISO .033 → .022; BABIP .293 → .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).

2012 AAATacoma Rainiers · 95 PAwOBA .387 → .325 (−62)K% 17.9% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.89%	÷1.042	×1.290	—	—	22.15%
BB% (unintentional) /PA	21.05%	÷1.061	×0.710	—	×0.992	13.97%
HBP% /PA	2.11%	—	×0.980	—	×0.992	2.05%
Singles /BIP	11.11%	÷0.979	×0.900	×1.005	×0.992	10.18%
Doubles /BIP	12.96%	÷0.936	×0.810	×1.005	×0.992	11.19%
Triples /BIP	3.70%	÷0.900	×0.810	×1.005	×0.992	3.32%
Home runs /BIP	3.70%	÷0.963	×0.780	—	×0.992	2.97%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 87, 3B 80, K 108, BB 112 — 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 ×1.005.

Result: wOBA .387 → .325; ISO .239 → .221; BABIP .283 → .250. 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 AAAToledo Mud Hens · 30 PAwOBA .508 → .441 (−66)K% 26.7% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷0.991	×1.200	—	—	32.29%
BB% (unintentional) /PA	10.00%	÷0.980	×0.690	—	×1.003	7.06%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	21.05%	÷0.974	×0.930	—	×1.003	20.17%
Doubles /BIP	10.53%	÷1.042	×0.830	—	×1.003	8.41%
Triples /BIP	10.53%	÷0.932	×0.970	—	×1.003	10.98%
Home runs /BIP	10.53%	÷0.922	×0.840	—	×1.003	9.62%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 95, 2B 108, 3B 86, K 98, BB 96 — 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).

Result: wOBA .508 → .441; ISO .444 → .399; BABIP .471 → .438. 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 AAAToledo Mud Hens · 430 PAwOBA .337 → .280 (−57)K% 25.8% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.81%	÷1.015	×1.200	—	—	30.53%
BB% (unintentional) /PA	7.91%	÷0.922	×0.690	—	×1.018	6.03%
HBP% /PA	2.09%	—	×0.940	—	×1.018	2.00%
Singles /BIP	14.86%	÷1.059	×0.930	×0.961	×1.018	12.76%
Doubles /BIP	7.97%	÷0.951	×0.830	×0.961	×1.018	6.80%
Triples /BIP	2.17%	÷1.015	×0.970	×0.961	×1.018	2.03%
Home runs /BIP	7.61%	÷0.957	×0.840	—	×1.018	6.80%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 112, 2B 90, 3B 103, K 103, BB 84 — 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 ×0.961.

Result: wOBA .337 → .280; ISO .251 → .213; BABIP .271 → .232. 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).

2009 AAErie SeaWolves · 367 PAwOBA .366 → .296 (−71)K% 28.1% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.07%	÷1.000	×1.220	—	—	34.24%
BB% (unintentional) /PA	10.90%	÷1.000	×0.700	—	×0.998	7.61%
HBP% /PA	3.00%	—	×0.850	—	×0.998	2.54%
Singles /BIP	21.15%	÷1.000	×0.970	×0.950	×0.998	19.45%
Doubles /BIP	8.65%	÷1.000	×0.860	×0.950	×0.998	7.06%
Triples /BIP	1.92%	÷1.000	×0.950	×0.950	×0.998	1.73%
Home runs /BIP	7.21%	÷1.000	×0.780	—	×0.998	5.61%

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 ×0.950.

Result: wOBA .366 → .296; ISO .228 → .180; BABIP .340 → .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).

2008 AAErie SeaWolves · 313 PAwOBA .404 → .340 (−64)K% 21.1% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.09%	÷1.000	×1.220	—	—	25.73%
BB% (unintentional) /PA	9.58%	÷1.000	×0.700	—	×1.012	6.79%
HBP% /PA	2.88%	—	×0.850	—	×1.012	2.47%
Singles /BIP	18.14%	÷1.000	×0.970	×0.971	×1.012	17.29%
Doubles /BIP	8.82%	÷1.000	×0.860	×0.971	×1.012	7.46%
Triples /BIP	2.94%	÷1.000	×0.950	×0.971	×1.012	2.75%
Home runs /BIP	8.33%	÷1.000	×0.780	—	×1.012	6.58%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.

Result: wOBA .404 → .340; ISO .300 → .246; BABIP .323 → .291. 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 AWest Michigan Whitecaps · 211 PAwOBA .349 → .267 (−82)K% 18.5% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.48%	÷1.000	×1.360	—	—	25.14%
BB% (unintentional) /PA	10.43%	÷1.000	×0.690	—	×0.980	7.05%
HBP% /PA	4.27%	—	×0.780	—	×0.980	3.26%
Singles /BIP	18.57%	÷1.000	×0.920	×0.950	×0.980	15.91%
Doubles /BIP	5.00%	÷1.000	×0.830	×0.950	×0.980	3.86%
Triples /BIP	0.00%	÷1.000	×0.910	×0.950	×0.980	0.00%
Home runs /BIP	7.14%	÷1.000	×0.800	—	×0.980	5.60%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .349 → .267; ISO .207 → .157; BABIP .252 → .208. 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 — .