Roman Quinn

PosCF

B/TS/R

Born1993-05-14

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	28	MLBPHI	62	.173/.306/.288	0	4	77	0.1
2022	29	AAATB	61	.295/.483/.636	4	1	132	—	.245/.383/.490
2022	29	MLBTB	87	.215/.287/.304	0	4	67	-0.1
2023	30	AAACOL	177	.186/.333/.300	2	16	38	—	.155/.269/.236
2024	31	No MLB games played
2025	32	No MLB games played
2026	33	No MLB games played

Last 3 seasons WAR 0.1

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Speed90

Avg EV32

Barrel%14

xwOBA10

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)
2013	20	A	Lakewood BlueClaws	—	298	260	62	7	3	5	27	64	6	32	9	238	324	346	670	108	297	21	9	302	59	—	—	—	—	—	—
2014	21	A+	Clearwater Threshers	—	382	327	84	10	3	7	36	80	9	32	12	257	347	370	717	113	316	21	9	319	80	—	—	—	—	—	—
2014	21	INTL	Scottsdale Scorpions	—	110	92	23	0	2	2	16	16	0	14	2	250	361	359	720	109	284	15	15	325	106	—	—	—	—	—	—
2015	22	AA	Reading Fightin Phils	—	257	232	71	6	6	4	18	42	0	29	10	306	356	435	791	129	360	16	7	343	107	—	—	—	—	—	—
2015	22	INTL	Tigres del Licey	—	108	99	21	0	2	2	8	27	1	8	1	212	278	313	591	101	271	25	7	269	68	—	—	—	—	—	—
2016	23	MLB	Philadelphia Phillies	—	69	57	15	4	0	0	8	19	2	5	1	263	373	333	706	70	395	28	12	321	104	+0	+1	+1	-4	+1	-0.1
2016	23	AA	Reading Fightin Phils	—	322	286	82	14	6	6	30	68	4	31	8	287	362	441	803	154	357	21	9	356	87	—	—	—	—	—	—
2016	23	ROK	GCL Phillies	—	24	22	11	2	0	0	1	3	0	5	1	500	522	591	1.113	91	579	12	4	475	124	—	—	—	—	—	—
2017	24	AAA	Lehigh Valley IronPigs	—	197	175	48	8	3	2	18	49	1	10	4	274	345	389	734	114	368	25	9	326	72	—	—	—	—	—	—
2017	24	INTL	Toros del Este	—	19	16	2	1	0	0	2	5	0	0	0	125	222	188	410	62	182	26	11	189	14	—	—	—	—	—	—
2018	25	MLB	Philadelphia Phillies	—	143	131	34	6	4	2	10	35	1	10	4	260	317	412	729	153	340	24	7	321	103	+0	+0	+1	+1	+3	0.6
2018	25	AAA	Lehigh Valley IronPigs	—	107	98	29	2	3	2	8	19	0	13	1	296	349	439	788	143	351	18	7	346	104	—	—	—	—	—	—
2019	26	MLB	Philadelphia Phillies	—	122	108	23	3	1	4	12	34	1	8	0	213	298	370	668	157	271	28	10	299	85	-2	+2	-0	+1	+3	0.3
2019	26	AAA	Lehigh Valley IronPigs	—	22	18	6	0	1	0	2	8	0	1	1	333	400	444	844	111	600	36	9	342	102	—	—	—	—	—	—
2019	26	A+	Clearwater Threshers	—	25	20	10	3	0	1	3	6	0	2	0	500	565	800	1.365	300	692	24	12	538	187	—	—	—	—	—	—
2020	27	MLB	Philadelphia Phillies	—	116	108	23	3	1	2	5	39	2	12	0	213	261	315	576	102	313	34	4	258	59	-6	+2	+2	+0	+3	0.1
2021	28	MLB	Philadelphia Phillies	—	62	52	9	2	2	0	6	19	4	4	3	173	306	288	595	115	273	31	10	281	77	-2	-0	+2	+0	+1	0.1
2022	29	MLB	Tampa Bay Rays	—	87	79	17	3	2	0	7	36	1	4	3	215	287	304	591	89	395	41	8	271	67	-3	-0	+1	+1	+2	-0.1
2022	29	AAA	Durham Bulls	—	61	44	13	3	0	4	15	15	1	1	1	295	483	636	1.120	341	346	25	25	472	132	—	—	—	—	—	—
2023	30	AAA	Albuquerque Isotopes	—	177	140	26	8	1	2	26	61	5	16	1	186	333	300	633	114	308	34	15	291	38	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	599	535	121	21	10	8	48	182	11	43	11	226	303	348	651	121	328	30	8	293	84	-11	+4	+6	-2	+13	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	20	A MLE	Lakewood BlueClaws	—	298	269	58	6	3	5	18	85	6	32	9	216	280	316	596	100	280	29	6	255	59	—	—	—	—	—	—
2014	21	A+ MLE	Clearwater Threshers	—	382	334	80	10	2	6	29	110	9	32	12	240	317	335	653	96	320	29	8	287	80	—	—	—	—	—	—
2015	22	AA MLE	Reading Fightin Phils	—	257	237	75	6	6	3	13	48	0	29	10	316	352	430	782	114	370	19	5	327	107	—	—	—	—	—	—
2016	23	MLB MLE	Philadelphia Phillies	—	69	57	15	4	0	0	8	19	2	5	1	263	373	333	706	70	395	28	12	322	104	+0	+1	+1	-4	+1	-0.1
2016	23	AA MLE	Reading Fightin Phils	—	322	295	76	12	5	4	21	89	4	31	8	258	316	373	689	115	349	28	7	297	87	—	—	—	—	—	—
2016	23	ROK MLE	GCL Phillies	—	24	22	8	1	0	0	1	4	0	5	1	364	391	409	800	45	448	17	4	352	124	—	—	—	—	—	—
2017	24	AAA MLE	Lehigh Valley IronPigs	—	197	180	44	7	3	2	13	61	1	10	4	244	299	350	649	106	343	31	7	275	72	—	—	—	—	—	—
2018	25	MLB MLE	Philadelphia Phillies	—	143	131	34	6	4	2	10	35	1	10	4	260	317	412	729	153	340	24	7	320	103	+0	+0	+1	+1	+3	0.6
2018	25	AAA MLE	Lehigh Valley IronPigs	—	107	100	29	2	3	2	6	24	0	13	1	290	330	430	760	140	357	22	6	322	104	—	—	—	—	—	—
2019	26	MLB MLE	Philadelphia Phillies	—	122	108	23	3	1	4	12	34	1	8	0	213	298	370	668	157	271	28	10	295	85	-2	+2	-0	+1	+3	0.3
2019	26	AAA MLE	Lehigh Valley IronPigs	—	22	19	6	0	1	0	1	10	0	1	1	316	350	421	771	105	552	45	5	319	102	—	—	—	—	—	—
2019	26	A+ MLE	Clearwater Threshers	—	25	22	9	2	0	1	2	9	0	2	0	409	478	636	1.115	227	574	36	8	445	187	—	—	—	—	—	—
2020	27	MLB MLE	Philadelphia Phillies	—	116	108	23	3	1	2	5	39	2	12	0	213	261	315	576	102	313	34	4	256	59	-6	+2	+2	+0	+3	0.1
2021	28	MLB MLE	Philadelphia Phillies	—	62	52	9	2	2	0	6	19	4	4	3	173	306	288	595	115	273	31	10	282	77	-2	-0	+2	+0	+1	0.1
2022	29	MLB MLE	Tampa Bay Rays	—	87	79	17	3	2	0	7	36	1	4	3	215	287	304	591	89	395	41	8	267	67	-3	-0	+1	+1	+2	-0.1
2022	29	AAA MLE	Durham Bulls	—	61	49	12	3	0	3	10	18	1	1	1	245	383	490	873	245	286	30	16	364	132	—	—	—	—	—	—
2023	30	AAA MLE	Albuquerque Isotopes	—	177	148	23	7	1	1	18	77	5	16	1	155	269	236	505	81	272	44	10	224	38	—	—	—	—	—	—
2013	20	A MLE	Lakewood BlueClaws	—	298	269	58	6	3	5	18	85	6	32	9	216	280	316	596	100	294	29	6	255	59	—	—	—	—	—	—
2013	20	A RAW	Lakewood BlueClaws	—	298	260	62	7	3	5	27	64	6	32	9	238	324	346	670	108	297	21	9	302	59	—	—	—	—	—	—
2014	21	A+ MLE	2 teams	—	492	433	103	13	3	7	38	142	9	46	14	238	312	330	643	92	333	29	8	287	80	—	—	—	—	—	—
2014	21	A+ RAW	2 teams	—	492	419	107	10	5	9	52	96	9	46	14	255	350	368	718	112	308	20	11	320	80	—	—	—	—	—	—
2015	22	AA MLE	2 teams	—	365	339	107	9	8	5	18	69	1	37	11	316	352	434	786	118	385	19	5	327	107	—	—	—	—	—	—
2015	22	AA RAW	2 teams	—	365	331	92	6	8	6	26	69	1	37	11	278	332	399	731	121	336	19	7	321	107	—	—	—	—	—	—
2016	23	AA MLE	3 teams	—	415	375	100	18	5	4	29	112	6	41	10	267	329	373	703	107	369	27	7	304	92	—	—	—	—	—	—
2016	23	AA RAW	3 teams	—	415	365	108	20	6	6	39	90	6	41	10	296	373	433	806	137	378	22	9	357	92	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	216	197	48	8	3	2	14	67	1	10	4	244	297	345	642	102	357	31	6	275	72	—	—	—	—	—	—
2017	24	AAA RAW	2 teams	—	216	191	50	9	3	2	20	54	1	10	4	262	335	372	707	110	353	25	9	314	72	—	—	—	—	—	—
2018	25	MLB MLE	2 teams	—	250	231	63	8	7	4	16	59	1	23	5	273	323	420	742	147	351	24	6	321	103	+1	+3	+1	+1	+5	1.1
2018	25	MLB RAW	2 teams	—	250	229	63	8	7	4	18	54	1	23	5	275	331	424	754	148	345	22	7	332	103	+1	+3	+1	+1	+5	1.1
2019	26	MLB MLE	3 teams	—	169	148	37	5	2	5	15	52	1	11	1	250	323	412	735	162	352	31	9	320	103	+1	+2	-0	+1	+4	0.7
2019	26	MLB RAW	3 teams	—	169	146	39	6	2	5	17	48	1	11	1	267	348	438	786	171	366	28	10	340	103	+1	+2	-0	+1	+4	0.7
2020	27	MLB MLE	Philadelphia Phillies	—	116	108	23	3	1	2	5	39	2	12	0	213	261	315	576	102	313	34	4	256	59	-6	+2	+2	+0	+3	0.1
2020	27	MLB RAW	Philadelphia Phillies	—	116	108	23	3	1	2	5	39	2	12	0	213	261	315	576	102	313	34	4	258	59	-6	+2	+2	+0	+3	0.1
2021	28	MLB MLE	Philadelphia Phillies	—	62	52	9	2	2	0	6	19	4	4	3	173	306	288	595	115	273	31	10	282	77	-2	-0	+2	+0	+1	0.1
2021	28	MLB RAW	Philadelphia Phillies	—	62	52	9	2	2	0	6	19	4	4	3	173	306	288	595	115	273	31	10	281	77	-2	-0	+2	+0	+1	0.1
2022	29	MLB MLE	2 teams	—	148	128	29	6	2	3	17	54	2	5	4	227	327	375	702	148	361	36	11	307	94	-1	-1	+1	+1	+3	0.3
2022	29	MLB RAW	2 teams	—	148	123	30	6	2	4	22	51	2	5	4	244	367	423	790	179	377	34	15	354	94	-1	-1	+1	+1	+3	0.3
2023	30	AAA MLE	Albuquerque Isotopes	—	177	148	23	7	1	1	18	77	5	16	1	155	269	236	505	81	310	44	10	224	38	—	—	—	—	—	—
2023	30	AAA RAW	Albuquerque Isotopes	—	177	140	26	8	1	2	26	61	5	16	1	186	333	300	633	114	308	34	15	291	38	—	—	—	—	—	—
2013	20	A MLE	Lakewood BlueClaws	—	298	272	58	6	3	5	18	85	6	32	9	213	280	312	592	99	280	29	6	255	59	—	—	—	—	—	—
2014	21	A+ MLE	2 teams	—	492	442	103	13	3	7	38	142	9	46	14	233	312	324	636	90	320	29	8	287	80	—	—	—	—	—	—
2015	22	AA MLE	2 teams	—	365	343	107	9	8	5	18	69	1	37	11	312	352	429	781	117	370	19	5	327	107	—	—	—	—	—	—
2016	23	AA MLE	3 teams	—	415	377	100	18	5	4	29	112	6	41	10	265	329	371	701	106	362	27	7	304	92	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	216	199	48	8	3	2	14	67	1	10	4	241	297	342	639	101	343	31	6	275	72	—	—	—	—	—	—
2018	25	MLB MLE	2 teams	—	250	231	63	8	7	4	16	59	1	23	5	273	323	420	742	147	348	24	6	321	103	—	—	—	—	—	—
2019	26	MLB MLE	3 teams	—	169	151	37	5	2	5	15	52	1	11	1	245	323	404	727	159	353	31	9	320	103	—	—	—	—	—	—
2020	27	MLB MLE	Philadelphia Phillies	—	116	108	23	3	1	2	5	39	2	12	0	213	261	315	576	102	313	34	4	256	59	—	—	—	—	—	—
2021	28	MLB MLE	Philadelphia Phillies	—	62	52	9	2	2	0	6	19	4	4	3	173	306	288	595	115	273	31	10	282	77	—	—	—	—	—	—
2022	29	MLB MLE	2 teams	—	148	128	29	6	2	3	17	54	2	5	4	227	327	375	702	148	350	36	11	307	94	—	—	—	—	—	—
2023	30	AAA MLE	Albuquerque Isotopes	—	177	152	23	7	1	1	18	77	5	16	1	151	269	230	499	79	272	44	10	224	38	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	599	535	121	21	10	8	48	182	11	43	11	226	303	348	651	121	328	30	8	293	83	-11	+4	+6	-2	+13	1.1
/ 162G	—	A+C		—	650	581	132	23	11	9	52	197	12	47	12	227	304	351	655	124	328	30	8	293	83	-12	+5	+7	-2	+14	1.2
Career	—	MLE		—	2708	2428	600	85	37	38	194	775	38	237	62	247	313	360	672	112	346	29	7	291	83	-11	+4	+6	-2	+13	1.1
/ 162G	—	MLE		—	650	583	144	20	9	9	47	186	9	57	15	247	313	358	671	111	346	29	7	291	83	-12	+5	+7	-2	+14	1.2

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.

2023 AAAAlbuquerque Isotopes · 177 PAwOBA .286 → .224 (−61)K% 34.5% → 43.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.46%	÷0.947	×1.200	—	—	43.67%
BB% (unintentional) /PA	14.69%	÷0.984	×0.690	—	×0.972	10.01%
HBP% /PA	2.82%	—	×0.940	—	×0.972	2.58%
Singles /BIP	18.99%	÷1.018	×0.930	×1.040	×0.972	17.53%
Doubles /BIP	10.13%	÷1.002	×0.830	×1.040	×0.972	8.48%
Triples /BIP	1.27%	÷1.150	×0.970	×1.040	×0.972	1.08%
Home runs /BIP	2.53%	÷1.062	×0.700	—	×0.972	1.62%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 104, 2B 100, 3B 130, K 89, BB 97 — 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 ×1.040.

Result: wOBA .286 → .224; ISO .114 → .086; BABIP .308 → .272. 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 AAADurham Bulls · 61 PAwOBA .468 → .364 (−104)K% 24.6% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.59%	÷0.999	×1.200	—	—	29.55%
BB% (unintentional) /PA	24.59%	÷1.059	×0.690	—	×0.982	15.73%
HBP% /PA	1.64%	—	×0.940	—	×0.982	1.51%
Singles /BIP	20.69%	÷0.988	×0.930	—	×0.982	19.13%
Doubles /BIP	10.34%	÷1.091	×0.830	—	×0.982	7.73%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.982	0.00%
Home runs /BIP	13.79%	÷1.034	×0.700	—	×0.982	9.17%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 98, 2B 118, 3B 130, K 100, BB 112 — 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 .468 → .364; ISO .341 → .260; BABIP .346 → .286. 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+Clearwater Threshers · 25 PAwOBA .517 → .445 (−72)K% 24.0% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷0.960	×1.420	—	—	35.51%
BB% (unintentional) /PA	8.00%	÷0.964	×0.750	—	×0.968	6.03%
HBP% /PA	0.00%	—	×0.930	—	×0.968	0.00%
Singles /BIP	42.86%	÷1.014	×0.920	—	×0.968	37.65%
Doubles /BIP	21.43%	÷1.242	×0.960	—	×0.968	16.04%
Triples /BIP	0.00%	÷0.973	×0.810	—	×0.968	0.00%
Home runs /BIP	7.14%	÷0.949	×0.880	—	×0.968	6.41%

Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 103, 2B 148, 3B 95, K 92, BB 93 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .517 → .445; ISO .300 → .258; BABIP .692 → .574. 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 AAALehigh Valley IronPigs · 22 PAwOBA .334 → .319 (−15)K% 36.4% → 43.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.36%	÷0.999	×1.200	—	—	43.66%
BB% (unintentional) /PA	9.09%	÷0.948	×0.690	—	×1.018	6.74%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	50.00%	÷1.032	×0.930	—	×1.018	45.86%
Doubles /BIP	0.00%	÷1.033	×0.830	—	×1.018	0.00%
Triples /BIP	10.00%	÷1.061	×0.970	—	×1.018	9.31%
Home runs /BIP	0.00%	÷0.866	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 106, 2B 107, 3B 112, K 100, BB 90 — 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).

Result: wOBA .334 → .319; ISO .111 → .113; BABIP .600 → .552. 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 AAALehigh Valley IronPigs · 107 PAwOBA .337 → .322 (−15)K% 17.8% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.76%	÷0.962	×1.200	—	—	22.14%
BB% (unintentional) /PA	7.48%	÷0.932	×0.690	—	×1.033	5.72%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	27.85%	÷1.000	×0.930	×1.050	×1.033	28.09%
Doubles /BIP	2.53%	÷0.971	×0.830	×1.050	×1.033	2.35%
Triples /BIP	3.80%	÷0.900	×0.970	×1.050	×1.033	4.44%
Home runs /BIP	2.53%	÷0.954	×0.840	—	×1.033	2.30%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 80, K 92, BB 86 — 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 ×1.050.

Result: wOBA .337 → .322; ISO .143 → .143; BABIP .351 → .357. 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 AAALehigh Valley IronPigs · 197 PAwOBA .319 → .275 (−44)K% 24.9% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.87%	÷0.961	×1.200	—	—	31.05%
BB% (unintentional) /PA	9.14%	÷1.014	×0.690	—	×1.048	6.51%
HBP% /PA	0.51%	—	×0.940	—	×1.048	0.50%
Singles /BIP	27.78%	÷1.055	×0.930	×1.013	×1.048	25.99%
Doubles /BIP	6.35%	÷0.969	×0.830	×1.013	×1.048	5.77%
Triples /BIP	2.38%	÷1.047	×0.970	×1.013	×1.048	2.34%
Home runs /BIP	1.59%	÷1.043	×0.840	—	×1.048	1.34%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 111, 2B 94, 3B 109, K 92, BB 103 — 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 ×1.013.

Result: wOBA .319 → .275; ISO .114 → .101; BABIP .368 → .343. 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 AAReading Fightin Phils · 322 PAwOBA .348 → .297 (−51)K% 21.1% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.12%	÷0.936	×1.220	—	—	27.53%
BB% (unintentional) /PA	9.32%	÷1.042	×0.700	—	×1.027	6.43%
HBP% /PA	1.24%	—	×0.850	—	×1.027	1.08%
Singles /BIP	25.69%	÷1.002	×0.970	×1.027	×1.027	26.25%
Doubles /BIP	6.42%	÷0.998	×0.860	×1.027	×1.027	5.84%
Triples /BIP	2.75%	÷1.150	×0.950	×1.027	×1.027	2.40%
Home runs /BIP	2.75%	÷1.273	×0.780	—	×1.027	1.73%

Factors used: league row EL. Park (home-season share, regressed): HR 155, 1B 100, 2B 100, 3B 130, K 87, BB 108 — 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 ×1.027.

Result: wOBA .348 → .297; ISO .154 → .116; BABIP .357 → .349. 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 ROKGCL Phillies · 24 PAwOBA .463 → .352 (−111)K% 12.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.000	×1.440	—	—	18.00%
BB% (unintentional) /PA	4.17%	÷1.000	×0.620	—	×0.965	2.49%
HBP% /PA	0.00%	—	×0.720	—	×0.965	0.00%
Singles /BIP	47.37%	÷1.000	×0.820	—	×0.965	37.48%
Doubles /BIP	10.53%	÷1.000	×0.720	—	×0.965	7.31%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.965	0.00%

Factors used: level-wide ROK 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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .463 → .352; ISO .091 → .063; BABIP .579 → .448. 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 — .