Estevan Florial

PosLF

B/TL/R

Born1997-11-25

Age (2027)29

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	26	AAACLE	231	.213/.323/.371	9	22	42	—	.164/.245/.266
2024	26	MLBCLE	111	.173/.264/.367	3	2	78	-0.4
2025	27	INTLMexico Verde	270	.278/.418/.448	8	14	144	—
2026	28	INTLTigres del Li…	32	.360/.500/.520	0	1	194	—

Last 3 seasons WAR -0.4

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

Speed81

Bat Spd66

Barrel%41

Avg EV27

xwOBA15

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)
2015	17	ROK	DSL Yankees 1	—	266	224	70	11	8	7	30	61	4	15	5	312	403	527	930	214	389	23	11	396	62	—	—	—	—	—	—
2016	18	A	Charleston RiverDogs	—	23	20	6	0	1	1	2	5	0	0	0	300	364	550	914	250	333	22	9	379	130	—	—	—	—	—	—
2016	18	ROK	Pulaski Yankees	—	268	236	53	10	1	7	28	78	3	10	2	225	315	364	679	140	305	29	10	308	30	—	—	—	—	—	—
2017	19	A+	Tampa Yankees	—	87	76	23	2	2	2	9	24	0	6	1	303	376	461	837	158	404	28	10	363	81	—	—	—	—	—	—
2017	19	A	Charleston RiverDogs	—	389	344	102	21	5	11	41	124	2	17	7	297	375	483	857	186	431	32	11	377	84	—	—	—	—	—	—
2017	19	INTL	Scottsdale Scorpions	—	81	70	20	5	2	0	10	29	1	2	2	286	383	414	797	129	488	36	12	360	129	—	—	—	—	—	—
2018	20	A+	Tampa Tarpons	—	339	294	75	16	3	3	44	87	1	11	10	255	354	361	715	105	353	26	13	328	68	—	—	—	—	—	—
2018	20	ROK	GCL Yankees East	—	35	31	17	3	1	3	4	5	0	5	0	548	600	1.000	1.600	452	609	14	11	673	211	—	—	—	—	—	—
2018	20	INTL	Glendale Desert Dogs	—	85	73	13	2	2	0	12	29	0	2	1	178	294	260	554	82	295	34	14	263	64	—	—	—	—	—	—
2019	21	A+	Tampa Tarpons	—	301	274	65	10	3	8	24	98	0	9	5	237	299	383	682	146	335	33	8	302	29	—	—	—	—	—	—
2020	22	INTL	Leones del Escogido	—	59	50	14	2	1	1	8	17	0	3	1	280	379	420	799	140	394	29	14	354	126	—	—	—	—	—	—
2021	23	MLB	New York Yankees	—	25	20	6	2	0	1	5	6	0	1	0	300	440	550	990	250	385	24	20	434	177	+2	+0	+1	+2	+1	0.5
2021	23	AAA	Scranton/Wilkes-Barre RailRiders	—	362	312	68	17	1	13	42	112	3	13	7	218	317	404	720	186	291	31	12	319	57	—	—	—	—	—	—
2021	23	AA	Somerset Patriots	—	39	35	8	2	0	4	4	9	0	0	1	229	308	629	936	400	182	23	10	397	91	—	—	—	—	—	—
2021	23	INTL	Leones del Escogido	—	32	24	4	1	0	0	7	10	0	1	1	167	355	208	563	42	267	31	22	278	74	—	—	—	—	—	—
2022	24	MLB	New York Yankees	—	35	31	3	0	0	0	3	13	1	2	0	97	200	97	297		167	37	9	158	-7	-4	+0	+0	+2	+1	-0.1
2022	24	AAA	Scranton/Wilkes-Barre RailRiders	—	461	403	114	31	2	15	54	140	1	39	10	283	369	481	850	199	398	30	12	374	84	—	—	—	—	—	—
2022	24	INTL	Leones del Escogido	—	27	23	1	0	0	0	4	9	0	0	1	43	185	43	229		71	33	15	137	-21	—	—	—	—	—	—
2023	25	MLB	New York Yankees	—	71	61	14	3	1	0	7	20	2	3	0	230	329	311	640	82	333	28	10	294	85	-1	+1	+1	+2	+2	0.4
2023	25	AAA	Scranton/Wilkes-Barre RailRiders	—	482	409	116	23	4	28	66	144	1	25	10	284	384	565	949	281	362	30	14	407	101	—	—	—	—	—	—
2024	26	MLB	Cleveland Guardians	—	111	98	17	6	2	3	11	41	1	2	1	173	264	367	631	194	259	37	10	279	78	-3	+0	+0	-4	+2	-0.4
2024	26	AAA	Columbus Clippers	—	231	197	42	4	0	9	30	72	2	22	4	213	323	371	694	157	280	31	13	314	42	—	—	—	—	—	—
2025	27	INTL	Mexico Verde	—	270	212	59	12	0	8	50	52	1	14	3	278	418	448	866	170	329	19	19	381	144	—	—	—	—	—	—
2026	28	INTL	Tigres del Licey	—	32	25	9	4	0	0	7	9	0	1	0	360	500	520	1.020	160	562	28	22	455	194	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	242	210	40	11	3	4	26	80	4	8	1	190	292	329	620	138	283	33	11	282	77	-7	+1	+2	+2	+5	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	17	ROK MLE	DSL Yankees 1	—	266	233	46	7	5	3	21	74	4	15	5	197	275	309	584	112	254	28	8	260	62	—	—	—	—	—	—
2016	18	A MLE	Charleston RiverDogs	—	23	21	6	0	1	1	1	7	0	0	0	286	318	524	842	238	326	30	4	360	130	—	—	—	—	—	—
2016	18	ROK MLE	Pulaski Yankees	—	268	246	40	7	1	5	18	111	3	10	2	163	228	260	489	98	261	41	7	213	30	—	—	—	—	—	—
2017	19	A+ MLE	Tampa Yankees	—	87	78	19	2	1	2	7	36	0	6	1	244	306	372	678	128	377	41	8	288	81	—	—	—	—	—	—
2017	19	A MLE	Charleston RiverDogs	—	389	359	86	16	5	8	26	173	2	17	7	240	295	379	673	139	424	44	7	292	84	—	—	—	—	—	—
2018	20	A+ MLE	Tampa Tarpons	—	339	306	65	16	2	2	32	123	1	11	10	212	289	297	586	85	353	36	9	268	68	—	—	—	—	—	—
2018	20	ROK MLE	GCL Yankees East	—	35	33	13	2	1	2	2	7	0	5	0	394	429	697	1.126	303	461	20	6	480	211	—	—	—	—	—	—
2019	21	A+ MLE	Tampa Tarpons	—	301	281	46	8	2	6	17	141	0	9	5	164	211	270	482	107	284	47	6	211	29	—	—	—	—	—	—
2021	23	MLB MLE	New York Yankees	—	25	20	6	2	0	1	5	6	0	1	0	300	440	550	990	250	385	24	20	430	177	+2	+0	+1	+2	+1	0.5
2021	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	362	323	59	15	1	8	31	135	3	13	7	183	261	310	570	127	274	37	9	252	57	—	—	—	—	—	—
2021	23	AA MLE	Somerset Patriots	—	39	36	7	2	0	3	3	11	0	0	1	194	256	500	756	306	167	28	8	302	91	—	—	—	—	—	—
2022	24	MLB MLE	New York Yankees	—	35	31	3	0	0	0	3	13	1	2	0	97	200	97	297		167	37	9	158	-7	-4	+0	+0	+2	+1	-0.1
2022	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	461	423	98	26	2	11	34	168	1	39	10	232	290	381	671	149	353	36	7	292	84	—	—	—	—	—	—
2023	25	MLB MLE	New York Yankees	—	71	61	14	3	1	0	7	20	2	3	0	230	329	311	640	82	333	28	10	294	85	-1	+1	+1	+2	+2	0.4
2023	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	482	433	100	21	4	20	42	173	1	25	10	231	300	436	737	206	319	36	9	317	101	—	—	—	—	—	—
2024	26	MLB MLE	Cleveland Guardians	—	111	98	17	6	2	3	11	41	1	2	1	173	264	367	631	194	259	37	10	283	78	-3	+0	+0	-4	+2	-0.4
2024	26	AAA MLE	Columbus Clippers	—	231	207	34	3	0	6	20	92	2	22	4	164	245	266	510	101	251	40	9	230	42	—	—	—	—	—	—
2015	17	ROK MLE	DSL Yankees 1	—	266	233	46	7	5	3	21	74	4	15	5	197	275	309	584	112	265	28	8	260	62	—	—	—	—	—	—
2015	17	ROK RAW	DSL Yankees 1	—	266	224	70	11	8	7	30	61	4	15	5	312	403	527	930	214	389	23	11	396	62	—	—	—	—	—	—
2016	18	ROK MLE	2 teams	—	291	267	46	7	2	6	19	117	3	10	2	172	235	281	516	109	276	40	7	225	38	—	—	—	—	—	—
2016	18	ROK RAW	2 teams	—	291	256	59	10	2	8	30	83	3	10	2	230	318	379	697	148	307	29	10	313	38	—	—	—	—	—	—
2017	19	A MLE	3 teams	—	557	511	122	21	7	12	39	245	3	25	10	239	297	378	674	139	426	44	7	291	83	—	—	—	—	—	—
2017	19	A RAW	3 teams	—	557	490	145	28	9	13	60	177	3	25	10	296	376	469	846	173	434	32	11	373	83	—	—	—	—	—	—
2018	20	A+ MLE	3 teams	—	459	416	96	22	4	5	42	160	1	18	11	231	303	339	642	108	363	35	9	288	81	—	—	—	—	—	—
2018	20	A+ RAW	3 teams	—	459	398	105	21	6	6	60	121	1	18	11	264	362	392	754	128	365	26	13	342	81	—	—	—	—	—	—
2019	21	A+ MLE	Tampa Tarpons	—	301	281	46	8	2	6	17	141	0	9	5	164	211	270	482	107	294	47	6	211	29	—	—	—	—	—	—
2019	21	A+ RAW	Tampa Tarpons	—	301	274	65	10	3	8	24	98	0	9	5	237	299	383	682	146	335	33	8	302	29	—	—	—	—	—	—
2020	22	INTL MLE	Leones del Escogido	—	59	50	14	2	1	1	8	17	0	3	1	280	379	420	799	140	394	29	14	—	—	—	—	—	—	—	—
2020	22	INTL RAW	Leones del Escogido	—	59	50	14	2	1	1	8	17	0	3	1	280	379	420	799	140	394	29	14	354	126	—	—	—	—	—	—
2021	23	AAA MLE	4 teams	—	458	407	78	21	1	13	42	164	3	15	9	192	272	344	616	152	279	36	9	267	67	—	—	—	—	—	—
2021	23	AAA RAW	4 teams	—	458	391	86	22	1	18	58	137	3	15	9	220	325	419	745	199	285	30	13	329	67	—	—	—	—	—	—
2022	24	AAA MLE	3 teams	—	523	479	107	28	2	11	39	191	2	41	11	223	285	359	644	136	345	37	7	283	77	—	—	—	—	—	—
2022	24	AAA RAW	3 teams	—	523	457	118	31	2	15	61	162	2	41	11	258	348	433	781	175	367	31	12	347	77	—	—	—	—	—	—
2023	25	AAA MLE	2 teams	—	553	494	114	24	5	20	49	193	3	28	10	231	304	421	725	190	326	35	9	314	99	—	—	—	—	—	—
2023	25	AAA RAW	2 teams	—	553	470	130	26	5	28	73	164	3	28	10	277	377	532	909	255	358	30	13	393	99	—	—	—	—	—	—
2024	26	AAA MLE	2 teams	—	342	305	51	9	2	9	31	133	3	24	5	167	251	298	549	131	255	39	9	247	54	—	—	—	—	—	—
2024	26	AAA RAW	2 teams	—	342	295	59	10	2	12	41	113	3	24	5	200	304	369	673	169	273	33	12	303	54	—	—	—	—	—	—
2025	27	INTL MLE	Mexico Verde	—	270	212	59	12	0	8	50	52	1	14	3	278	418	448	866	170	329	19	19	—	—	—	—	—	—	—	—
2025	27	INTL RAW	Mexico Verde	—	270	212	59	12	0	8	50	52	1	14	3	278	418	448	866	170	329	19	19	381	144	—	—	—	—	—	—
2026	28	INTL MLE	Tigres del Licey	—	32	25	9	4	0	0	7	9	0	1	0	360	500	520	1.020	160	562	28	22	—	—	—	—	—	—	—	—
2026	28	INTL RAW	Tigres del Licey	—	32	25	9	4	0	0	7	9	0	1	0	360	500	520	1.020	160	562	28	22	455	194	—	—	—	—	—	—
2015	17	ROK MLE	DSL Yankees 1	—	266	239	46	7	5	3	21	74	4	15	5	192	275	301	576	109	254	28	8	260	62	—	—	—	—	—	—
2016	18	ROK MLE	2 teams	—	291	267	46	7	2	6	19	117	3	10	2	172	235	281	516	109	266	40	7	225	38	—	—	—	—	—	—
2017	19	A MLE	3 teams	—	557	510	122	21	7	12	39	245	3	25	10	239	297	378	675	139	415	44	7	291	83	—	—	—	—	—	—
2018	20	A+ MLE	3 teams	—	459	413	96	22	4	5	42	160	1	18	11	232	303	341	644	109	363	35	9	288	81	—	—	—	—	—	—
2019	21	A+ MLE	Tampa Tarpons	—	301	281	46	8	2	6	17	141	0	9	5	164	211	270	482	107	284	47	6	211	29	—	—	—	—	—	—
2021	23	AAA MLE	4 teams	—	458	410	78	21	1	13	42	164	3	15	9	190	272	341	614	151	271	36	9	267	67	—	—	—	—	—	—
2022	24	AAA MLE	3 teams	—	523	477	107	28	2	11	39	191	2	41	11	224	285	361	645	136	340	37	7	283	77	—	—	—	—	—	—
2023	25	AAA MLE	2 teams	—	553	496	114	24	5	20	49	193	3	28	10	230	304	419	723	190	321	35	9	314	99	—	—	—	—	—	—
2024	26	AAA MLE	2 teams	—	342	305	51	9	2	9	31	133	3	24	5	167	251	298	549	131	254	39	9	247	54	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	AAA MLE	2 teams	—	342	305	51	9	2	9	31	133	3	24	5	167	251	298	549	131	254	39	9	247	54	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	242	210	40	11	3	4	26	80	4	8	1	190	292	329	620	138	283	33	11	282	54	-7	+1	+2	+2	+5	0.4
/ 162G	—	A+C		—	650	564	108	30	8	11	70	215	11	21	3	191	293	332	625	140	284	33	11	282	54	-18	+3	+5	+5	+14	1.0
Career	—	MLE		—	4111	3680	788	165	31	94	364	1496	23	203	72	214	289	352	641	138	327	36	9	248	54	-7	+1	+2	+2	+5	0.4
/ 162G	—	MLE		—	650	582	125	26	5	15	58	237	4	32	11	215	291	354	645	139	328	36	9	248	54	-18	+3	+5	+5	+14	1.0

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.

2024 AAAColumbus Clippers · 231 PAwOBA .309 → .230 (−79)K% 31.2% → 39.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.17%	÷0.939	×1.200	—	—	39.84%
BB% (unintentional) /PA	12.99%	÷1.036	×0.690	—	×1.003	8.67%
HBP% /PA	0.87%	—	×0.940	—	×1.003	0.82%
Singles /BIP	23.20%	÷0.977	×0.930	×0.981	×1.003	21.73%
Doubles /BIP	3.20%	÷0.985	×0.830	×0.981	×1.003	2.65%
Triples /BIP	0.00%	÷0.900	×0.970	×0.981	×1.003	0.00%
Home runs /BIP	7.20%	÷1.060	×0.700	—	×1.003	4.77%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 95, 2B 97, 3B 80, K 88, 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 ×0.981.

Result: wOBA .309 → .230; ISO .157 → .101; BABIP .280 → .251. 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).

2023 AAAScranton/Wilkes-Barre RailRiders · 482 PAwOBA .400 → .317 (−83)K% 29.9% → 35.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.88%	÷0.998	×1.200	—	—	35.94%
BB% (unintentional) /PA	13.28%	÷1.059	×0.690	—	×1.018	8.80%
HBP% /PA	0.21%	—	×0.940	—	×1.018	0.20%
Singles /BIP	23.02%	÷1.029	×0.930	×0.986	×1.018	20.88%
Doubles /BIP	8.68%	÷0.903	×0.830	×0.986	×1.018	8.01%
Triples /BIP	1.51%	÷1.048	×0.970	×0.986	×1.018	1.40%
Home runs /BIP	10.57%	÷1.017	×0.700	—	×1.018	7.40%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 106, 2B 81, 3B 110, K 100, BB 112 — 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 ×0.986.

Result: wOBA .400 → .317; ISO .281 → .214; BABIP .362 → .319. 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 AAAScranton/Wilkes-Barre RailRiders · 461 PAwOBA .363 → .292 (−70)K% 30.4% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.37%	÷1.001	×1.200	—	—	36.40%
BB% (unintentional) /PA	11.06%	÷1.066	×0.690	—	×1.033	7.40%
HBP% /PA	0.22%	—	×0.940	—	×1.033	0.21%
Singles /BIP	25.10%	÷1.047	×0.930	×0.999	×1.033	23.00%
Doubles /BIP	11.79%	÷0.988	×0.830	×0.999	×1.033	10.22%
Triples /BIP	0.76%	÷1.000	×0.970	×0.999	×1.033	0.76%
Home runs /BIP	5.70%	÷1.006	×0.700	—	×1.033	4.10%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 109, 2B 98, 3B 100, K 100, BB 113 — 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 ×0.999.

Result: wOBA .363 → .292; ISO .199 → .154; BABIP .398 → .353. 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 AAAScranton/Wilkes-Barre RailRiders · 362 PAwOBA .312 → .252 (−61)K% 30.9% → 37.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.94%	÷0.993	×1.200	—	—	37.38%
BB% (unintentional) /PA	11.60%	÷0.973	×0.690	—	×1.048	8.62%
HBP% /PA	0.83%	—	×0.940	—	×1.048	0.82%
Singles /BIP	18.50%	÷0.974	×0.930	×0.981	×1.048	18.17%
Doubles /BIP	8.50%	÷0.915	×0.830	×0.981	×1.048	7.93%
Triples /BIP	0.50%	÷1.150	×0.920	×0.981	×1.048	0.41%
Home runs /BIP	6.50%	÷1.149	×0.700	—	×1.048	4.15%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 130, 1B 95, 2B 83, 3B 130, K 99, BB 95 — 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 ×0.981.

Result: wOBA .312 → .252; ISO .186 → .131; BABIP .291 → .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).

2021 AASomerset Patriots · 39 PAwOBA .385 → .302 (−83)K% 23.1% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷1.024	×1.220	—	—	27.50%
BB% (unintentional) /PA	10.26%	÷1.036	×0.690	—	×1.012	6.91%
HBP% /PA	0.00%	—	×0.850	—	×1.012	0.00%
Singles /BIP	7.69%	÷1.008	×0.940	—	×1.012	7.26%
Doubles /BIP	7.69%	÷0.905	×0.870	—	×1.012	7.48%
Triples /BIP	0.00%	÷0.900	×0.920	—	×1.012	0.00%
Home runs /BIP	15.38%	÷1.053	×0.780	—	×1.012	11.53%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 102, 2B 81, 3B 80, K 105, BB 107 — 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).

Result: wOBA .385 → .302; ISO .400 → .307; BABIP .182 → .167. 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+Tampa Tarpons · 301 PAwOBA .295 → .211 (−84)K% 32.6% → 46.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.56%	÷0.989	×1.420	—	—	46.74%
BB% (unintentional) /PA	7.64%	÷1.055	×0.750	—	×1.012	5.50%
HBP% /PA	0.00%	—	×0.930	—	×1.012	0.00%
Singles /BIP	25.00%	÷1.072	×0.920	×0.950	×1.012	20.62%
Doubles /BIP	5.68%	÷0.954	×0.960	×0.950	×1.012	5.50%
Triples /BIP	1.70%	÷0.900	×0.810	×0.950	×1.012	1.47%
Home runs /BIP	4.55%	÷0.960	×0.880	—	×1.012	4.22%

Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .295 → .211; ISO .146 → .111; BABIP .335 → .284. 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 A+Tampa Tarpons · 339 PAwOBA .317 → .268 (−49)K% 25.7% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.66%	÷1.004	×1.420	—	—	36.29%
BB% (unintentional) /PA	12.39%	÷1.015	×0.750	—	×1.027	9.40%
HBP% /PA	0.29%	—	×0.930	—	×1.027	0.28%
Singles /BIP	25.60%	÷1.003	×0.920	×1.029	×1.027	24.82%
Doubles /BIP	7.73%	÷0.891	×0.960	×1.029	×1.027	8.80%
Triples /BIP	1.45%	÷0.983	×0.810	×1.029	×1.027	1.26%
Home runs /BIP	1.45%	÷1.205	×0.880	—	×1.027	1.09%

Factors used: league row FSL. Park (home-season share, regressed): HR 141, 1B 101, 2B 78, 3B 97, K 101, BB 103 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .317 → .268; ISO .105 → .091; BABIP .353 → .353. 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 ROKGCL Yankees East · 35 PAwOBA .654 → .480 (−174)K% 14.3% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.000	×1.440	—	—	20.57%
BB% (unintentional) /PA	11.43%	÷1.000	×0.620	—	×0.985	6.98%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	38.46%	÷1.000	×0.820	—	×0.985	31.07%
Doubles /BIP	11.54%	÷1.000	×0.720	—	×0.985	8.18%
Triples /BIP	3.85%	÷1.000	×0.720	—	×0.985	2.73%
Home runs /BIP	11.54%	÷1.000	×0.780	—	×0.985	8.87%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .654 → .480; ISO .452 → .329; BABIP .609 → .461. 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 — .