Brian Goodwin

PosCF

B/TL/R

Born1990-11-02

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	28	MLBLAA	458	.262/.328/.470	17	7	121	1.7
2020	29	MLBCIN	164	.215/.302/.417	6	5	92	0.0
2021	30	AAACWS	95	.244/.316/.395	3	2	33	—	.191/.242/.292
2021	30	MLBCWS	271	.221/.320/.374	8	1	97	-0.5
2022	31	No MLB games played
2023	32	No MLB games played
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR 1.3

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

xwOBA50

Speed47

Barrel%42

Avg EV39

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)
2012	21	AA	Harrisburg Senators	—	186	166	37	8	1	5	18	50	2	3	3	223	306	373	680	151	288	27	10	307	61	—	—	—	—	—	—
2012	21	A	Hagerstown Suns	—	266	216	70	18	1	9	43	39	3	15	4	324	443	542	984	218	357	15	16	427	111	—	—	—	—	—	—
2012	21	INTL	Salt River Rafters	—	94	80	19	6	2	3	12	25	1	2	1	237	344	475	819	237	302	27	13	357	127	—	—	—	—	—	—
2013	22	AA	Harrisburg Senators	—	533	456	114	19	11	10	66	121	8	19	11	250	355	406	760	156	319	23	12	341	86	—	—	—	—	—	—
2013	22	INTL	Mesa Solar Sox	—	88	81	24	4	1	2	4	22	1	3	1	296	337	444	782	148	379	25	5	339	115	—	—	—	—	—	—
2014	23	AAA	Syracuse Chiefs	—	329	274	60	10	4	4	50	95	1	6	4	219	342	328	670	109	320	29	15	308	57	—	—	—	—	—	—
2015	24	AA	Harrisburg Senators	—	472	429	97	17	4	8	38	93	2	15	7	226	292	340	632	114	269	20	8	285	50	—	—	—	—	—	—
2015	24	INTL	Bravos de Margarita	—	154	133	42	8	1	3	19	28	0	5	2	316	401	459	860	143	382	18	12	380	143	—	—	—	—	—	—
2016	25	MLB	Washington Nationals	—	44	42	12	4	1	0	2	14	0	0	0	286	318	429	747	143	429	32	5	329	113	+1	+0	+0	-7	+1	-0.5
2016	25	AAA	Syracuse Chiefs	—	492	436	122	25	1	14	46	106	3	15	3	280	353	438	791	158	336	22	9	348	79	—	—	—	—	—	—
2016	25	INTL	Naranjeros de Hermosillo	—	122	112	35	6	2	2	7	20	0	1	1	312	353	455	808	143	363	16	6	349	122	—	—	—	—	—	—
2017	26	MLB	Washington Nationals	—	278	251	63	21	1	13	23	69	1	6	0	251	316	498	814	247	291	25	8	352	120	+7	+1	-3	+1	+6	1.2
2017	26	AAA	Syracuse Chiefs	—	103	90	23	4	0	2	10	29	0	2	1	256	330	367	697	111	350	28	10	307	53	—	—	—	—	—	—
2018	27	MLB	Kansas City Royals	—	180	159	38	6	0	6	16	57	3	4	2	239	320	390	710	151	330	32	9	317	105	+1	+0	-0	+1	+4	0.6
2018	27	AAA	Omaha Storm Chasers	—	44	40	9	4	0	2	4	11	0	0	0	225	295	475	770	250	259	25	9	336	51	—	—	—	—	—	—
2018	27	AA	Harrisburg Senators	—	18	15	3	0	0	1	3	3	0	1	0	200	333	400	733	200	182	17	17	332	63	—	—	—	—	—	—
2019	28	MLB	Los Angeles Angels	—	458	413	108	29	3	17	38	129	3	7	3	262	328	470	798	208	337	28	8	348	121	+12	+0	-0	-5	+10	1.7
2020	29	MLB	Cincinnati Reds	—	164	144	31	9	1	6	17	54	1	5	0	215	302	417	719	201	291	33	10	316	92	-1	+1	-4	+1	+4	0.0
2021	30	MLB	Chicago White Sox	—	271	235	52	10	1	8	33	58	1	1	0	221	320	374	694	153	259	21	12	313	97	-1	+0	-6	-4	+6	-0.5
2021	30	AAA	Charlotte Knights	—	95	86	21	4	0	3	9	31	0	2	2	244	316	395	711	151	346	33	9	319	33	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1395	1244	304	79	7	50	129	381	9	23	5	244	320	440	760	195	309	27	9	334	112	+20	+3	-13	-13	+30	2.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	AA MLE	Harrisburg Senators	—	186	171	34	7	1	4	13	61	2	3	3	199	263	322	585	123	284	33	7	258	61	—	—	—	—	—	—
2012	21	A MLE	Hagerstown Suns	—	266	229	60	14	1	7	30	54	3	15	4	262	355	424	779	162	299	20	11	332	111	—	—	—	—	—	—
2013	22	AA MLE	Harrisburg Senators	—	533	474	110	19	9	8	48	142	8	19	11	232	313	361	674	129	310	27	9	296	86	—	—	—	—	—	—
2014	23	AAA MLE	Syracuse Chiefs	—	329	287	54	8	4	3	37	118	1	6	4	188	283	275	558	87	298	36	11	252	57	—	—	—	—	—	—
2015	24	AA MLE	Harrisburg Senators	—	472	443	90	13	4	6	24	111	2	15	7	203	247	291	539	88	256	24	5	242	50	—	—	—	—	—	—
2016	25	MLB MLE	Washington Nationals	—	44	42	12	4	1	0	2	14	0	0	0	286	318	429	747	143	429	32	5	335	113	+1	+0	+0	-7	+1	-0.5
2016	25	AAA MLE	Syracuse Chiefs	—	492	453	108	22	1	12	29	134	3	15	3	238	289	371	660	132	298	27	6	285	79	—	—	—	—	—	—
2017	26	MLB MLE	Washington Nationals	—	278	253	63	21	1	13	21	69	1	6	0	249	309	494	803	245	291	25	8	346	120	+7	+1	-3	+1	+6	1.2
2017	26	AAA MLE	Syracuse Chiefs	—	103	93	20	3	0	2	7	35	0	2	1	215	270	312	582	97	299	34	7	247	53	—	—	—	—	—	—
2018	27	MLB MLE	Kansas City Royals	—	180	159	38	6	0	6	16	57	3	4	2	239	320	390	710	151	330	32	9	324	105	+1	+0	-0	+1	+4	0.6
2018	27	AAA MLE	Omaha Storm Chasers	—	44	41	6	3	0	1	3	14	0	0	0	146	205	293	497	146	220	32	7	243	51	—	—	—	—	—	—
2018	27	AA MLE	Harrisburg Senators	—	18	16	3	0	0	1	2	4	0	1	0	188	278	375	653	188	165	22	11	261	63	—	—	—	—	—	—
2019	28	MLB MLE	Los Angeles Angels	—	458	415	109	30	3	17	36	129	3	7	3	263	326	472	798	210	337	28	8	347	121	+12	+0	-0	-5	+10	1.7
2020	29	MLB MLE	Cincinnati Reds	—	164	145	31	9	1	6	16	54	1	5	0	214	296	414	710	200	291	33	10	305	92	-1	+1	-4	+1	+4	0.0
2021	30	MLB MLE	Chicago White Sox	—	271	235	52	10	1	8	33	58	1	1	0	221	320	374	694	153	259	21	12	311	97	-1	+0	-6	-4	+6	-0.5
2021	30	AAA MLE	Charlotte Knights	—	95	89	17	3	0	2	6	37	0	2	2	191	242	292	534	101	280	39	6	217	33	—	—	—	—	—	—
2012	21	A MLE	3 teams	—	546	483	113	25	2	13	52	138	6	20	8	234	316	375	691	141	298	25	10	302	90	—	—	—	—	—	—
2012	21	A RAW	3 teams	—	546	462	126	32	4	17	73	114	6	20	8	273	379	470	849	197	325	21	13	374	90	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	621	551	128	22	11	9	56	165	9	22	12	232	313	361	674	129	314	27	9	296	86	—	—	—	—	—	—
2013	22	AA RAW	2 teams	—	621	537	138	23	12	12	70	143	9	22	12	257	352	412	764	155	328	23	11	341	86	—	—	—	—	—	—
2014	23	AAA MLE	Syracuse Chiefs	—	329	287	54	8	4	3	37	118	1	6	4	188	283	275	558	87	307	36	11	252	57	—	—	—	—	—	—
2014	23	AAA RAW	Syracuse Chiefs	—	329	274	60	10	4	4	50	95	1	6	4	219	342	328	670	109	320	29	15	308	57	—	—	—	—	—	—
2015	24	AA MLE	2 teams	—	626	587	120	18	5	8	32	148	2	20	9	204	248	293	541	89	258	24	5	242	50	—	—	—	—	—	—
2015	24	AA RAW	2 teams	—	626	562	139	25	5	11	57	121	2	20	9	247	319	368	687	121	296	19	9	308	50	—	—	—	—	—	—
2016	25	AAA MLE	3 teams	—	658	608	147	31	3	15	37	181	3	16	4	242	289	377	665	135	316	28	6	289	82	—	—	—	—	—	—
2016	25	AAA RAW	3 teams	—	658	590	169	35	4	16	55	140	3	16	4	286	350	441	791	154	348	21	8	347	82	—	—	—	—	—	—
2017	26	MLB MLE	2 teams	—	381	346	83	24	1	15	28	104	1	8	1	240	299	445	744	205	294	27	7	319	102	+1	+1	-3	+1	+8	0.9
2017	26	MLB RAW	2 teams	—	381	341	86	25	1	15	33	98	1	8	1	252	320	463	783	211	306	26	9	340	102	+1	+1	-3	+1	+8	0.9
2018	27	MLB MLE	3 teams	—	242	216	49	9	0	9	21	75	3	5	2	227	304	394	698	167	301	31	9	304	92	-2	+0	-0	+1	+5	0.4
2018	27	MLB RAW	3 teams	—	242	214	50	10	0	9	23	71	3	5	2	234	317	407	723	173	304	29	10	322	92	-2	+0	-0	+1	+5	0.4
2019	28	MLB MLE	Los Angeles Angels	—	458	415	109	30	3	17	36	129	3	7	3	263	326	472	798	210	338	28	8	347	121	+12	+0	-0	-5	+10	1.7
2019	28	MLB RAW	Los Angeles Angels	—	458	413	108	29	3	17	38	129	3	7	3	262	328	470	798	208	337	28	8	348	121	+12	+0	-0	-5	+10	1.7
2020	29	MLB MLE	Cincinnati Reds	—	164	145	31	9	1	6	16	54	1	5	0	214	296	414	710	200	287	33	10	305	92	-1	+1	-4	+1	+4	0.0
2020	29	MLB RAW	Cincinnati Reds	—	164	144	31	9	1	6	17	54	1	5	0	215	302	417	719	201	291	33	10	316	92	-1	+1	-4	+1	+4	0.0
2021	30	MLB MLE	2 teams	—	366	324	67	12	1	9	39	95	1	3	2	207	294	333	627	127	262	26	11	287	80	-9	-0	-6	-4	+8	-1.1
2021	30	MLB RAW	2 teams	—	366	321	73	14	1	11	42	89	1	3	2	227	319	380	699	153	279	24	11	314	80	-9	-0	-6	-4	+8	-1.1
2012	21	A MLE	3 teams	—	546	483	113	25	2	13	52	138	6	20	8	234	316	375	691	141	293	25	10	302	90	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	621	551	128	22	11	9	56	165	9	22	12	232	313	361	674	129	310	27	9	296	86	—	—	—	—	—	—
2014	23	AAA MLE	Syracuse Chiefs	—	329	288	54	8	4	3	37	118	1	6	4	188	283	274	557	87	298	36	11	252	57	—	—	—	—	—	—
2015	24	AA MLE	2 teams	—	626	587	120	18	5	8	32	148	2	20	9	204	248	293	541	89	256	24	5	242	50	—	—	—	—	—	—
2016	25	AAA MLE	3 teams	—	658	613	147	31	3	15	37	181	3	16	4	240	289	374	662	134	309	28	6	289	82	—	—	—	—	—	—
2017	26	MLB MLE	2 teams	—	381	349	83	24	1	15	28	104	1	8	1	238	299	441	740	203	293	27	7	319	102	—	—	—	—	—	—
2018	27	MLB MLE	3 teams	—	242	216	49	9	0	9	21	75	3	5	2	227	304	394	698	167	298	31	9	304	92	—	—	—	—	—	—
2019	28	MLB MLE	Los Angeles Angels	—	458	416	109	30	3	17	36	129	3	7	3	262	326	471	797	209	337	28	8	347	121	—	—	—	—	—	—
2020	29	MLB MLE	Cincinnati Reds	—	164	146	31	9	1	6	16	54	1	5	0	212	296	411	707	199	291	33	10	305	92	—	—	—	—	—	—
2021	30	MLB MLE	2 teams	—	366	323	67	12	1	9	39	95	1	3	2	207	294	334	628	127	264	26	11	287	80	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1395	1244	304	79	7	50	129	381	9	23	5	244	320	440	760	195	309	27	9	334	84	+20	+3	-13	-13	+30	2.7
/ 162G	—	A+C		—	650	580	141	37	3	23	60	178	4	11	2	243	318	436	755	193	307	27	9	334	84	+9	+1	-6	-6	+14	1.3
Career	—	MLE		—	4391	3962	901	188	31	104	354	1207	30	112	45	227	296	369	665	142	298	27	8	292	84	+20	+3	-13	-13	+30	2.7
/ 162G	—	MLE		—	650	586	134	28	5	15	52	179	4	17	7	229	295	370	666	142	301	28	8	292	84	+9	+1	-6	-6	+14	1.3

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.

2021 AAACharlotte Knights · 95 PAwOBA .311 → .217 (−93)K% 32.6% → 38.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.63%	÷1.011	×1.200	—	—	38.74%
BB% (unintentional) /PA	9.47%	÷1.053	×0.690	—	×0.962	5.97%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	25.45%	÷0.986	×0.930	×0.960	×0.962	22.17%
Doubles /BIP	7.27%	÷1.128	×0.830	×0.960	×0.962	4.94%
Triples /BIP	0.00%	÷1.020	×0.920	×0.960	×0.962	0.00%
Home runs /BIP	5.45%	÷1.190	×0.700	—	×0.962	3.09%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — 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 ×0.960.

Result: wOBA .311 → .217; ISO .151 → .087; BABIP .346 → .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).

2018 AAAOmaha Storm Chasers · 44 PAwOBA .327 → .243 (−84)K% 25.0% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.007	×1.290	—	—	32.01%
BB% (unintentional) /PA	9.09%	÷1.018	×0.710	—	×0.992	6.29%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	10.34%	÷1.020	×0.900	—	×0.992	9.06%
Doubles /BIP	13.79%	÷0.936	×0.810	—	×0.992	11.84%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.992	0.00%
Home runs /BIP	6.90%	÷1.101	×0.780	—	×0.992	4.85%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 104, 2B 87, 3B 80, K 102, BB 104 — 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).

Result: wOBA .327 → .243; ISO .250 → .179; BABIP .259 → .220. 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 AAHarrisburg Senators · 18 PAwOBA .324 → .261 (−63)K% 16.7% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.987	×1.220	—	—	20.60%
BB% (unintentional) /PA	16.67%	÷1.037	×0.700	—	×0.968	10.89%
HBP% /PA	0.00%	—	×0.850	—	×0.968	0.00%
Singles /BIP	16.67%	÷1.017	×0.970	—	×0.968	15.39%
Doubles /BIP	0.00%	÷1.012	×0.860	—	×0.968	0.00%
Triples /BIP	0.00%	÷1.070	×0.950	—	×0.968	0.00%
Home runs /BIP	8.33%	÷0.925	×0.780	—	×0.968	6.80%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 103, 2B 102, 3B 114, K 97, BB 107 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .324 → .261; ISO .200 → .168; BABIP .182 → .165. 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 AAASyracuse Chiefs · 103 PAwOBA .302 → .247 (−55)K% 28.2% → 33.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.16%	÷1.005	×1.200	—	—	33.62%
BB% (unintentional) /PA	9.71%	÷1.033	×0.690	—	×1.003	6.50%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	27.87%	÷0.997	×0.930	×0.950	×1.003	24.76%
Doubles /BIP	6.56%	÷1.081	×0.830	×0.950	×1.003	4.80%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×1.003	0.00%
Home runs /BIP	3.28%	÷0.980	×0.840	—	×1.003	2.82%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 99, 2B 116, 3B 130, K 101, BB 107 — 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 .302 → .247; ISO .111 → .091; BABIP .350 → .299. 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 AAASyracuse Chiefs · 492 PAwOBA .342 → .285 (−57)K% 21.5% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.54%	÷0.949	×1.200	—	—	27.24%
BB% (unintentional) /PA	9.15%	÷1.110	×0.690	—	×1.018	5.79%
HBP% /PA	0.61%	—	×0.940	—	×1.018	0.58%
Singles /BIP	24.85%	÷1.048	×0.930	×0.990	×1.018	22.22%
Doubles /BIP	7.58%	÷0.959	×0.830	×0.990	×1.018	6.61%
Triples /BIP	0.30%	÷0.900	×0.970	×0.990	×1.018	0.33%
Home runs /BIP	4.24%	÷0.978	×0.840	—	×1.018	3.71%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 110, 2B 92, 3B 80, K 90, BB 122 — 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 ×0.990.

Result: wOBA .342 → .285; ISO .158 → .138; BABIP .336 → .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).

2015 AAHarrisburg Senators · 472 PAwOBA .278 → .242 (−36)K% 19.7% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.70%	÷1.018	×1.220	—	—	23.61%
BB% (unintentional) /PA	7.63%	÷1.052	×0.700	—	×0.998	5.07%
HBP% /PA	0.42%	—	×0.850	—	×0.998	0.36%
Singles /BIP	20.24%	÷0.962	×0.970	×0.989	×0.998	20.14%
Doubles /BIP	5.06%	÷1.070	×0.860	×0.989	×0.998	4.02%
Triples /BIP	1.19%	÷0.916	×0.950	×0.989	×0.998	1.22%
Home runs /BIP	2.38%	÷0.986	×0.780	—	×0.998	1.88%

Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 92, 2B 114, 3B 83, K 104, BB 110 — 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 ×0.989.

Result: wOBA .278 → .242; ISO .114 → .094; BABIP .269 → .256. 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 AAASyracuse Chiefs · 329 PAwOBA .301 → .252 (−48)K% 28.9% → 35.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.88%	÷0.965	×1.200	—	—	35.90%
BB% (unintentional) /PA	15.20%	÷0.972	×0.690	—	×1.048	11.30%
HBP% /PA	0.30%	—	×0.940	—	×1.048	0.30%
Singles /BIP	23.46%	÷1.003	×0.930	×0.983	×1.048	22.41%
Doubles /BIP	5.59%	÷1.027	×0.830	×0.983	×1.048	4.65%
Triples /BIP	2.23%	÷1.063	×0.970	×0.983	×1.048	2.10%
Home runs /BIP	2.23%	÷0.985	×0.840	—	×1.048	2.00%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 101, 2B 105, 3B 113, K 93, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .301 → .252; ISO .109 → .094; BABIP .320 → .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).

2013 AAHarrisburg Senators · 533 PAwOBA .333 → .296 (−38)K% 22.7% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.70%	÷1.043	×1.220	—	—	26.56%
BB% (unintentional) /PA	12.38%	÷0.990	×0.700	—	×1.027	8.99%
HBP% /PA	1.50%	—	×0.850	—	×1.027	1.31%
Singles /BIP	22.09%	÷1.011	×0.970	×1.004	×1.027	21.85%
Doubles /BIP	5.67%	÷0.883	×0.860	×1.004	×1.027	5.69%
Triples /BIP	3.28%	÷1.150	×0.950	×1.004	×1.027	2.80%
Home runs /BIP	2.99%	÷1.012	×0.780	—	×1.027	2.36%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 102, 2B 77, 3B 130, K 109, BB 98 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .333 → .296; ISO .156 → .136; BABIP .319 → .310. 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 — .