Raudy Read

PosC

B/TR/R

Born1993-10-29

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2022	28	AAA/AACWS	364	.303/.402/.557	18	113	—	.257/.330/.450
2023	29	INTLNicaragua	19	.312/.389/.438	0	124	—
2025	31	INTLAguilas de Me…	48	.244/.354/.341	1	105	—

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2011	17	ROK	DSL Nationals	—	150	140	22	5	1	4	4	20	4	1	1	157	203	293	496	136	153	13	3	220	-27	—	—	—	—	—	—
2012	18	ROK	DSL Nationals	—	256	227	57	16	0	9	18	33	8	3	3	251	328	441	769	189	255	13	7	339	28	—	—	—	—	—	—
2013	19	ROK	GCL Nationals	—	158	147	37	5	0	2	6	17	2	2	6	252	290	327	617	75	269	11	4	275	22	—	—	—	—	—	—
2015	21	A+	Potomac Nationals	—	20	18	7	2	0	0	2	3	0	0	0	389	450	500	950	111	467	15	10	424	116	—	—	—	—	—	—
2015	21	A	Hagerstown Suns	—	327	295	72	20	1	5	25	50	3	4	3	244	310	369	679	125	276	15	8	303	43	—	—	—	—	—	—
2016	22	A+	Potomac Nationals	—	426	386	101	30	1	9	31	53	6	6	3	262	326	415	741	153	281	12	7	329	68	—	—	—	—	—	—
2017	23	AA	Harrisburg Senators	—	442	411	109	25	1	17	27	79	2	2	0	265	314	455	769	190	290	18	6	337	77	—	—	—	—	—	—
2017	23	INTL	Toros del Este	—	27	27	7	0	0	3	0	9	0	0	0	259	259	593	852	333	267	33	0	365	133	—	—	—	—	—	—
2018	24	AAA	Syracuse Chiefs	—	52	50	13	2	0	0	1	8	0	0	0	260	275	300	575	40	302	15	2	254	38	—	—	—	—	—	—
2018	24	AA	Harrisburg Senators	—	161	147	42	9	2	3	11	30	1	0	0	286	340	435	775	150	336	19	7	340	78	—	—	—	—	—	—
2018	24	INTL	Toros del Este	—	34	30	6	1	0	0	3	6	0	0	0	200	273	233	506	33	250	18	9	232	43	—	—	—	—	—	—
2019	25	AAA	Fresno Grizzlies	—	328	306	84	17	3	20	17	58	3	1	1	275	319	546	865	271	278	18	5	372	82	—	—	—	—	—	—
2020	26	INTL	Toros del Este	—	31	24	3	0	0	0	7	9	0	0	0	125	323	125	448		200	29	23	245	52	—	—	—	—	—	—
2021	27	AAA	Rochester Red Wings	—	86	80	23	5	0	6	3	26	2	0	0	287	329	575	904	287	347	30	3	388	79	—	—	—	—	—	—
2021	27	A	Fredericksburg Nationals	—	17	11	3	0	0	1	5	2	1	0	0	273	529	545	1.075	273	250	12	29	477	124	—	—	—	—	—	—
2022	28	AAA	Charlotte Knights	—	35	32	10	1	0	1	3	7	0	0	0	312	371	438	809	125	375	20	9	363	70	—	—	—	—	—	—
2022	28	AA	Birmingham Barons	—	329	275	83	21	1	17	43	61	5	0	0	302	406	571	976	269	325	19	13	418	118	—	—	—	—	—	—
2023	29	INTL	Nicaragua	—	19	16	5	2	0	0	2	4	0	0	0	312	389	438	826	125	385	21	11	351	124	—	—	—	—	—	—
2025	31	INTL	Aguilas de Mexicali	—	48	41	10	1	0	1	7	9	0	0	0	244	354	341	696	98	290	19	15	323	105	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	17	ROK MLE	DSL Nationals	—	150	141	14	3	1	2	3	24	4	1	1	99	142	177	319	78	94	16	2	129	-27	—	—	—	—	—	—
2012	18	ROK MLE	DSL Nationals	—	256	235	37	10	0	4	10	40	8	3	3	157	217	251	468	94	166	16	4	210	28	—	—	—	—	—	—
2013	19	ROK MLE	GCL Nationals	—	158	149	28	3	0	2	4	24	2	2	6	188	219	248	468	60	206	15	3	200	22	—	—	—	—	—	—
2015	21	A+ MLE	Potomac Nationals	—	20	19	6	2	0	0	1	4	0	0	0	316	350	421	771	105	418	20	5	339	116	—	—	—	—	—	—
2015	21	A MLE	Hagerstown Suns	—	327	304	59	16	1	4	16	69	3	4	3	194	241	293	534	99	229	21	5	232	43	—	—	—	—	—	—
2016	22	A+ MLE	Potomac Nationals	—	426	400	91	24	1	8	17	77	6	6	3	228	270	352	622	125	258	18	4	269	68	—	—	—	—	—	—
2017	23	AA MLE	Harrisburg Senators	—	442	419	97	21	1	14	19	94	2	2	0	232	268	387	655	155	265	21	4	282	77	—	—	—	—	—	—
2018	24	AAA MLE	Syracuse Chiefs	—	52	51	12	2	0	0	0	9	0	0	0	235	235	275	510	39	274	17	0	225	38	—	—	—	—	—	—
2018	24	AA MLE	Harrisburg Senators	—	161	151	37	7	2	2	7	37	1	0	0	245	283	358	641	113	300	23	4	283	78	—	—	—	—	—	—
2019	25	AAA MLE	Fresno Grizzlies	—	328	313	69	13	2	16	10	78	3	1	1	220	252	428	680	208	238	24	3	289	82	—	—	—	—	—	—
2021	27	AAA MLE	Rochester Red Wings	—	86	81	18	4	0	4	2	32	2	0	0	222	259	420	679	198	291	37	2	285	79	—	—	—	—	—	—
2021	27	A MLE	Fredericksburg Nationals	—	17	14	3	0	0	1	2	3	1	0	0	214	353	429	782	214	206	18	12	352	124	—	—	—	—	—	—
2022	28	AAA MLE	Charlotte Knights	—	35	33	8	1	0	0	2	9	0	0	0	242	286	273	558	30	330	26	6	272	70	—	—	—	—	—	—
2022	28	AA MLE	Birmingham Barons	—	329	290	75	20	1	13	28	75	5	0	0	259	334	469	803	210	288	23	9	342	118	—	—	—	—	—	—
2011	17	ROK MLE	DSL Nationals	—	150	141	14	3	1	2	3	24	4	1	1	99	142	177	319	78	103	16	2	129	-27	—	—	—	—	—	—
2011	17	ROK RAW	DSL Nationals	—	150	140	22	5	1	4	4	20	4	1	1	157	203	293	496	136	153	13	3	220	-27	—	—	—	—	—	—
2012	18	ROK MLE	DSL Nationals	—	256	235	37	10	0	4	10	40	8	3	3	157	217	251	468	94	170	16	4	210	28	—	—	—	—	—	—
2012	18	ROK RAW	DSL Nationals	—	256	227	57	16	0	9	18	33	8	3	3	251	328	441	769	189	255	13	7	339	28	—	—	—	—	—	—
2013	19	ROK MLE	GCL Nationals	—	158	149	28	3	0	2	4	24	2	2	6	188	219	248	468	60	208	15	3	200	22	—	—	—	—	—	—
2013	19	ROK RAW	GCL Nationals	—	158	147	37	5	0	2	6	17	2	2	6	252	290	327	617	75	269	11	4	275	22	—	—	—	—	—	—
2015	21	A MLE	2 teams	—	347	323	65	17	1	4	17	73	3	4	3	201	248	297	545	96	245	21	5	238	47	—	—	—	—	—	—
2015	21	A RAW	2 teams	—	347	313	79	22	1	5	27	53	3	4	3	252	318	377	695	125	287	15	8	310	47	—	—	—	—	—	—
2016	22	A+ MLE	Potomac Nationals	—	426	400	91	24	1	8	17	77	6	6	3	228	270	352	622	125	261	18	4	269	68	—	—	—	—	—	—
2016	22	A+ RAW	Potomac Nationals	—	426	386	101	30	1	9	31	53	6	6	3	262	326	415	741	153	281	12	7	329	68	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	469	444	102	22	1	14	21	100	2	2	0	230	268	378	646	149	265	21	4	282	77	—	—	—	—	—	—
2017	23	AA RAW	2 teams	—	469	438	116	25	1	20	27	88	2	2	0	265	310	463	774	199	289	19	6	339	77	—	—	—	—	—	—
2018	24	AA MLE	3 teams	—	247	233	57	11	2	3	9	54	1	0	0	245	276	348	623	103	302	22	4	269	68	—	—	—	—	—	—
2018	24	AA RAW	3 teams	—	247	227	61	12	2	3	15	44	1	0	0	269	317	379	696	110	317	18	6	307	68	—	—	—	—	—	—
2019	25	AAA MLE	Fresno Grizzlies	—	328	313	69	13	2	16	10	78	3	1	1	220	252	428	680	208	240	24	3	289	82	—	—	—	—	—	—
2019	25	AAA RAW	Fresno Grizzlies	—	328	306	84	17	3	20	17	58	3	1	1	275	319	546	865	271	278	18	5	372	82	—	—	—	—	—	—
2020	26	INTL MLE	Toros del Este	—	31	24	3	0	0	0	7	9	0	0	0	125	323	125	448		200	29	23	—	—	—	—	—	—	—	—
2020	26	INTL RAW	Toros del Este	—	31	24	3	0	0	0	7	9	0	0	0	125	323	125	448		200	29	23	245	52	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	103	95	21	4	0	5	4	35	3	0	0	221	275	421	696	200	286	34	4	296	87	—	—	—	—	—	—
2021	27	AAA RAW	2 teams	—	103	91	26	5	0	7	8	28	3	0	0	286	363	571	934	286	333	27	8	402	87	—	—	—	—	—	—
2022	28	AA MLE	2 teams	—	364	323	83	21	1	13	30	84	5	0	0	257	330	449	779	192	302	23	8	335	113	—	—	—	—	—	—
2022	28	AA RAW	2 teams	—	364	307	93	22	1	18	46	68	5	0	0	303	402	557	959	254	330	19	13	412	113	—	—	—	—	—	—
2023	29	INTL MLE	Nicaragua	—	19	16	5	2	0	0	2	4	0	0	0	312	389	438	826	125	385	21	11	—	—	—	—	—	—	—	—
2023	29	INTL RAW	Nicaragua	—	19	16	5	2	0	0	2	4	0	0	0	312	389	438	826	125	385	21	11	351	124	—	—	—	—	—	—
2025	31	INTL MLE	Aguilas de Mexicali	—	48	41	10	1	0	1	7	9	0	0	0	244	354	341	696	98	290	19	15	—	—	—	—	—	—	—	—
2025	31	INTL RAW	Aguilas de Mexicali	—	48	41	10	1	0	1	7	9	0	0	0	244	354	341	696	98	290	19	15	323	105	—	—	—	—	—	—
2011	17	ROK MLE	DSL Nationals	—	150	142	14	3	1	2	3	24	4	1	1	99	142	176	318	77	94	16	2	129	-27	—	—	—	—	—	—
2012	18	ROK MLE	DSL Nationals	—	256	236	37	10	0	4	10	40	8	3	3	157	217	250	467	93	166	16	4	210	28	—	—	—	—	—	—
2013	19	ROK MLE	GCL Nationals	—	158	151	28	3	0	2	4	24	2	2	6	185	219	245	464	60	206	15	3	200	22	—	—	—	—	—	—
2015	21	A MLE	2 teams	—	347	324	65	17	1	4	17	73	3	4	3	201	248	296	544	96	240	21	5	238	47	—	—	—	—	—	—
2016	22	A+ MLE	Potomac Nationals	—	426	400	91	24	1	8	17	77	6	6	3	228	270	352	622	125	258	18	4	269	68	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	469	443	102	22	1	14	21	100	2	2	0	230	268	379	647	149	265	21	4	282	77	—	—	—	—	—	—
2018	24	AA MLE	3 teams	—	247	235	57	11	2	3	9	54	1	0	0	243	276	345	620	102	294	22	4	269	68	—	—	—	—	—	—
2019	25	AAA MLE	Fresno Grizzlies	—	328	312	69	13	2	16	10	78	3	1	1	221	252	429	681	208	238	24	3	289	82	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	103	95	21	4	0	5	4	35	3	0	0	221	275	421	696	200	277	34	4	296	87	—	—	—	—	—	—
2022	28	AA MLE	2 teams	—	364	326	83	21	1	13	30	84	5	0	0	255	330	445	774	190	292	23	8	335	113	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2946	2737	585	131	9	72	141	611	37	19	17	214	262	347	609	133	246	21	5	254	58	-147	-3	-0	+53	+64	-3.5
/ 162G	—	MLE		—	650	604	129	29	2	16	31	135	8	4	4	214	261	348	609	134	246	21	5	254	58	-33	-1	-0	+12	+14	-0.8

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.

2022 AABirmingham Barons · 329 PAwOBA .414 → .342 (−73)K% 18.5% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.54%	÷0.988	×1.220	—	—	22.90%
BB% (unintentional) /PA	13.07%	÷0.993	×0.680	—	×0.958	8.58%
HBP% /PA	1.52%	—	×0.840	—	×0.958	1.22%
Singles /BIP	20.56%	÷1.000	×0.920	×1.013	×0.958	18.37%
Doubles /BIP	9.81%	÷0.947	×0.910	×1.013	×0.958	9.15%
Triples /BIP	0.47%	÷0.987	×0.880	×1.013	×0.958	0.40%
Home runs /BIP	7.94%	÷1.056	×0.800	—	×0.958	5.76%

Factors used: league row SL. Park (home-season share, regressed): HR 111, 1B 100, 2B 89, 3B 97, K 98, BB 99 — 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 ×1.013.

Result: wOBA .414 → .342; ISO .269 → .219; BABIP .325 → .288. 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).

2022 AAACharlotte Knights · 35 PAwOBA .353 → .272 (−81)K% 20.0% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.975	×1.200	—	—	24.63%
BB% (unintentional) /PA	8.57%	÷1.028	×0.690	—	×0.982	5.65%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	32.00%	÷1.003	×0.930	—	×0.982	29.15%
Doubles /BIP	4.00%	÷1.028	×0.830	—	×0.982	3.17%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.982	0.00%
Home runs /BIP	4.00%	÷1.421	×0.700	—	×0.982	1.93%

Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — 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 .353 → .272; ISO .125 → .068; BABIP .375 → .330. 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 AAARochester Red Wings · 86 PAwOBA .380 → .285 (−95)K% 30.2% → 37.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.23%	÷0.979	×1.200	—	—	37.05%
BB% (unintentional) /PA	3.49%	÷1.014	×0.690	—	×0.992	2.35%
HBP% /PA	2.33%	—	×0.940	—	×0.992	2.17%
Singles /BIP	22.22%	÷0.994	×0.930	×0.972	×0.992	20.03%
Doubles /BIP	9.26%	÷1.005	×0.830	×0.972	×0.992	7.37%
Triples /BIP	0.00%	÷1.150	×0.920	×0.972	×0.992	0.00%
Home runs /BIP	11.11%	÷0.968	×0.700	—	×0.992	7.97%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — 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 ×0.972.

Result: wOBA .380 → .285; ISO .287 → .196; BABIP .347 → .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).

2021 AFredericksburg Nationals · 17 PAwOBA .453 → .352 (−101)K% 11.8% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷0.967	×1.360	—	—	16.54%
BB% (unintentional) /PA	23.53%	÷1.100	×0.690	—	×0.940	13.88%
HBP% /PA	5.88%	—	×0.780	—	×0.940	4.31%
Singles /BIP	22.22%	÷1.006	×0.920	—	×0.940	19.11%
Doubles /BIP	0.00%	÷0.942	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.901	×0.910	—	×0.940	0.00%
Home runs /BIP	11.11%	÷1.159	×0.800	—	×0.940	7.21%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 101, 2B 88, 3B 80, K 93, BB 120 — applied at half strength. Age: age 28 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (6.0 yr older than average).

Result: wOBA .453 → .352; ISO .273 → .218; BABIP .250 → .206. 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 AAAFresno Grizzlies · 328 PAwOBA .361 → .289 (−71)K% 17.7% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.68%	÷0.953	×1.290	—	—	23.94%
BB% (unintentional) /PA	4.27%	÷0.990	×0.710	—	×1.018	3.11%
HBP% /PA	0.91%	—	×0.980	—	×1.018	0.91%
Singles /BIP	17.74%	÷0.959	×0.900	×0.950	×1.018	16.10%
Doubles /BIP	6.85%	÷0.976	×0.810	×0.950	×1.018	5.50%
Triples /BIP	1.21%	÷1.140	×0.810	×0.950	×1.018	0.83%
Home runs /BIP	8.06%	÷0.962	×0.780	—	×1.018	6.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 92, 2B 95, 3B 128, K 91, BB 98 — 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 ×0.950.

Result: wOBA .361 → .289; ISO .271 → .210; BABIP .278 → .238. 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 · 161 PAwOBA .335 → .283 (−52)K% 18.6% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.63%	÷0.987	×1.220	—	—	23.03%
BB% (unintentional) /PA	6.83%	÷1.037	×0.700	—	×0.998	4.60%
HBP% /PA	0.62%	—	×0.850	—	×0.998	0.53%
Singles /BIP	23.93%	÷1.017	×0.970	×0.970	×0.998	22.11%
Doubles /BIP	7.69%	÷1.012	×0.860	×0.970	×0.998	6.33%
Triples /BIP	1.71%	÷1.070	×0.950	×0.970	×0.998	1.47%
Home runs /BIP	2.56%	÷0.925	×0.780	—	×0.998	2.16%

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 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 ×0.970.

Result: wOBA .335 → .283; ISO .150 → .124; BABIP .336 → .300. 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 AAASyracuse Chiefs · 52 PAwOBA .243 → .225 (−19)K% 15.4% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷1.044	×1.200	—	—	17.68%
BB% (unintentional) /PA	0.00%	÷0.956	×0.690	—	×1.033	0.00%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	26.19%	÷1.044	×0.930	×0.984	×1.033	23.73%
Doubles /BIP	4.76%	÷0.933	×0.830	×0.984	×1.033	4.31%
Triples /BIP	0.00%	÷0.900	×0.970	×0.984	×1.033	0.00%
Home runs /BIP	0.00%	÷1.205	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 141, 1B 109, 2B 87, 3B 80, K 109, BB 91 — 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 ×0.984.

Result: wOBA .243 → .225; ISO .040 → .037; BABIP .302 → .274. 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 AAHarrisburg Senators · 442 PAwOBA .329 → .282 (−48)K% 17.9% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.87%	÷1.022	×1.220	—	—	21.33%
BB% (unintentional) /PA	6.11%	÷0.974	×0.700	—	×1.012	4.44%
HBP% /PA	0.45%	—	×0.850	—	×1.012	0.39%
Singles /BIP	19.88%	÷1.016	×0.970	×0.981	×1.012	18.84%
Doubles /BIP	7.53%	÷0.998	×0.860	×0.981	×1.012	6.44%
Triples /BIP	0.30%	÷0.906	×0.950	×0.981	×1.012	0.31%
Home runs /BIP	5.12%	÷0.970	×0.780	—	×1.012	4.17%

Factors used: league row EL. Park (home-season share, regressed): HR 94, 1B 103, 2B 100, 3B 81, K 104, BB 95 — 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 ×0.981.

Result: wOBA .329 → .282; ISO .190 → .155; BABIP .290 → .265. 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 — .