Adrian Feliz

SS DSL NYY Yankees

Age 18 R/R 6'2" / 162 lbs ROK HR +14% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1094ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	16	ROKDSL NYY Yanke…	68	.186/.294/.203	0	5	-8	—	.115/.206/.131
2026	17	ROKDSL NYY Yanke…	107	.275/.437/.362	1	9	61	—	.186/.320/.256
2027PROJMLE	18	MLBNYY	217	.216/.292/.286	2	6	66	0.0
2028PROJ34% MLB	19	MLBNYY	39	.221/.298/.303	0	1	72	0.0
2029PROJ48% MLB	20	MLBNYY	103	.225/.303/.317	1	3	77	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

K%85

Speed82

Chase%79

BB%66

wOBA64

Z-Con%55

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 97%

CompsCeddanne Rafaela (age 18) · Juan Lagares (age 18) · Yunior Garcia (age 18)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 57 proj PA

wRC+†66

AVG/OBP/SLG.214 / .289 / .284

PA57

HR0

K%25

BB%8

ISO70

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$25M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2036	Arb-1	$3M	+0.7	$1M	+$0.1M
2037	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2038	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$8M	+$4M

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)
2025	16	ROK	DSL NYY Yankees	—	68	59	11	1	0	0	7	15	2	5	4	186	294	203	498	17	250	22	10	245	-8	—	—	—	—	—	—
2026	17	ROK	DSL NYY Yankees	—	107	80	22	2	1	1	19	15	4	9	2	275	437	362	799	87	309	14	18	362	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	16	ROK MLE	DSL NYY Yankees	—	68	61	7	1	0	0	5	18	2	5	4	115	206	131	337	16	163	26	7	157	-8	—	—	—	—	—	—
2026	17	ROK MLE	DSL NYY Yankees	—	107	86	16	1	1	1	13	18	4	9	2	186	320	256	576	70	199	17	12	258	61	—	—	—	—	—	—
2025	16	ROK MLE	DSL NYY Yankees	—	68	61	7	1	0	0	5	18	2	5	4	115	206	131	337	16	163	26	7	157	-8	—	—	—	—	—	—
2025	16	ROK RAW	DSL NYY Yankees	—	68	59	11	1	0	0	7	15	2	5	4	186	294	203	498	17	250	22	10	245	-8	—	—	—	—	—	—
2026	17	ROK MLE	DSL NYY Yankees	—	107	86	16	1	1	1	13	18	4	9	2	186	320	256	576	70	211	17	12	258	61	—	—	—	—	—	—
2026	17	ROK RAW	DSL NYY Yankees	—	107	80	22	2	1	1	19	15	4	9	2	275	437	362	799	87	309	14	18	362	61	—	—	—	—	—	—
2025	16	ROK MLE	DSL NYY Yankees	—	68	61	7	1	0	0	5	18	2	5	4	115	206	131	337	16	163	26	7	157	-8	—	—	—	—	—	—
2026	17	ROK MLE	DSL NYY Yankees	—	107	89	16	1	1	1	13	18	4	9	2	180	320	247	568	67	199	17	12	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	16	ROK MLE	DSL NYY Yankees	—	68	61	7	1	0	0	5	18	2	5	4	115	206	131	337	16	163	26	7	157	-8	—	—	—	—	—	—
2026	17	ROK MLE	DSL NYY Yankees	—	107	89	16	1	1	1	13	18	4	9	2	180	320	247	568	67	199	17	12	258	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	NYY	0%	217	194	43	6	2	2	18	54	3	6	1	216	292	286	578	70	287	25	8	266	66	-9	+1	+0	+2	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	NYY	34%	114	102	22	3	1	1	9	28	2	4	1	221	297	301	598	80	289	25	8	275	72	-4	+0	+0	+1	+2	0.0
2029	20	MLB MLE	NYY	48%	213	189	43	6	2	3	18	51	4	7	2	225	302	314	616	89	291	24	8	282	77	-6	+1	+0	+2	+5	0.2
2030	21	MLB MLE	NYY	54%	337	300	68	10	2	5	28	81	6	11	3	228	306	325	631	98	292	24	8	288	81	-8	+1	+0	+4	+7	0.4
2031	22	MLB MLE	NYY	57%	430	384	88	13	3	7	36	102	7	14	4	231	308	335	644	105	293	24	8	292	84	-8	+1	+0	+5	+9	0.7
2032	23	MLB MLE	NYY	58%	490	438	101	15	3	9	41	116	8	16	4	233	311	344	654	111	294	24	8	296	87	-8	+2	+0	+5	+11	1.0
2033	24	MLB MLE	NYY	57%	531	473	111	16	4	10	44	125	9	18	4	234	312	348	660	113	295	24	8	298	88	-7	+2	+0	+6	+12	1.2
2034	25	MLB MLE	NYY	57%	556	495	117	17	4	11	47	131	9	19	5	235	312	350	663	116	295	24	8	300	89	-7	+2	+0	+6	+12	1.3
2035	26	MLB MLE	NYY	57%	569	507	119	17	4	11	48	134	9	19	5	235	313	352	665	117	295	24	8	301	90	-7	+2	+0	+6	+12	1.3
2036	27	MLB MLE	NYY	55%	571	509	119	17	4	11	48	135	9	19	5	234	312	350	662	116	294	24	8	299	89	-8	+2	+0	+6	+12	1.3
2037	28	MLB MLE	NYY	55%	566	505	118	17	4	11	47	135	9	18	5	232	310	345	655	113	294	24	8	297	87	-9	+2	-1	+6	+12	1.1
2038	29	MLB MLE	NYY	53%	553	493	113	16	4	10	46	134	9	17	5	230	307	339	646	109	292	24	8	293	85	-10	+1	-1	+6	+12	0.8
2039	30	MLB MLE	NYY	53%	541	483	109	16	3	9	45	133	8	17	5	227	304	332	636	105	291	25	8	289	82	-12	+1	-2	+6	+12	0.5
2040	31	MLB MLE	NYY	52%	523	467	104	15	3	8	43	130	8	15	5	223	299	322	621	99	288	25	8	283	78	-14	+1	-3	+6	+11	0.1
2041	32	MLB MLE	NYY	52%	501	449	98	14	3	7	40	127	7	14	6	218	293	311	604	92	285	25	8	276	73	-16	+0	-4	+5	+11	-0.3
2028	19	MLB CTX	NYY	34%	39	35	7	1	0	0	3	10	1	1	0	221	298	303	601	82	289	26	8	276	72	-1	+0	+0	+0	+1	0.0
2029	20	MLB CTX	NYY	48%	103	92	21	3	1	1	8	25	2	3	1	225	303	317	620	92	291	24	8	283	77	-3	+0	+0	+1	+2	0.1
2030	21	MLB CTX	NYY	54%	183	163	37	5	1	3	15	44	3	6	1	229	306	329	636	101	292	24	8	289	81	-4	+1	+0	+2	+4	0.3
2031	22	MLB CTX	NYY	57%	243	217	50	7	2	4	20	58	4	8	2	231	309	340	649	108	293	24	8	294	84	-5	+1	+0	+3	+5	0.4
2032	23	MLB CTX	NYY	58%	282	251	59	9	2	5	24	67	5	9	2	234	311	349	660	115	294	24	9	299	87	-4	+1	+0	+3	+6	0.6
2033	24	MLB CTX	NYY	57%	303	270	63	9	2	6	25	71	5	10	2	235	313	353	666	117	295	23	8	301	88	-4	+1	+0	+3	+7	0.7
2034	25	MLB CTX	NYY	57%	315	281	67	10	2	7	26	74	5	11	3	236	313	356	669	120	295	23	8	302	89	-4	+1	+0	+3	+7	0.7
2035	26	MLB CTX	NYY	57%	322	287	68	10	2	7	27	76	5	11	3	236	314	358	671	121	295	24	8	303	90	-4	+1	+0	+3	+7	0.8
2036	27	MLB CTX	NYY	55%	317	282	67	10	2	7	27	75	5	11	3	235	313	355	668	120	294	24	9	302	89	-4	+1	+0	+3	+7	0.7
2037	28	MLB CTX	NYY	55%	311	277	64	9	2	6	26	74	5	10	3	234	311	350	661	117	294	24	8	299	87	-5	+1	-0	+3	+7	0.6
2038	29	MLB CTX	NYY	53%	296	264	62	9	2	6	25	72	5	9	3	231	308	344	652	113	293	24	8	295	85	-5	+1	-1	+3	+6	0.4
2039	30	MLB CTX	NYY	53%	285	255	58	8	2	5	24	70	4	9	3	228	305	336	641	108	291	25	8	291	82	-6	+1	-1	+3	+6	0.3
2040	31	MLB CTX	NYY	52%	273	245	56	8	2	5	22	68	4	8	3	224	300	327	627	102	288	25	8	285	78	-7	+0	-1	+3	+6	0.1
2041	32	MLB CTX	NYY	52%	260	233	52	7	2	4	21	66	4	7	3	219	294	315	609	95	285	25	8	277	73	-8	+0	-2	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3532	3152	731	105	24	66	293	850	57	113	32	232	309	343	652	111	295	24	8	295	83	-66	+10	-6	+38	+77	5.3
/ 162G	—	A+C		—	650	580	134	19	4	12	54	156	10	21	6	231	307	340	647	109	294	24	8	295	83	-12	+2	-1	+7	+14	1.0
Career	—	MLE		—	6727	5992	1364	196	45	114	563	1612	111	224	65	228	306	332	638	105	290	24	8	290	83	-126	+18	-10	+70	+142	9.6
/ 162G	—	MLE		—	650	579	131	19	4	11	54	156	11	22	6	226	304	330	634	104	288	24	8	290	83	-13	+2	-1	+7	+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.

2026 DSLDSL NYY Yankees · 107 PAwOBA .368 → .258 (−110)K% 14.0% → 17.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.02%	÷1.000	×1.220	—	—	17.10%
BB% (unintentional) /PA	17.76%	÷1.000	×0.700	—	×1.008	12.52%
HBP% /PA	3.74%	—	×0.700	—	×1.008	2.64%
Singles /BIP	27.69%	÷1.000	×0.680	×0.958	×1.008	18.17%
Doubles /BIP	3.08%	÷1.000	×0.600	×0.958	×1.008	1.78%
Triples /BIP	1.54%	÷1.000	×0.600	×0.958	×1.008	0.89%
Home runs /BIP	1.54%	÷1.000	×0.470	—	×1.008	0.73%

Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .368 → .258; ISO .087 → .052; BABIP .309 → .199. 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).

2025 DSLDSL NYY Yankees · 68 PAwOBA .240 → .157 (−83)K% 22.1% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.06%	÷0.988	×1.220	—	—	27.24%
BB% (unintentional) /PA	10.29%	÷1.066	×0.700	—	×1.022	6.91%
HBP% /PA	2.94%	—	×0.700	—	×1.022	2.11%
Singles /BIP	22.73%	÷1.113	×0.680	×1.050	×1.022	14.90%
Doubles /BIP	2.27%	÷1.069	×0.600	×1.050	×1.022	1.37%
Triples /BIP	0.00%	÷0.943	×0.600	×1.050	×1.022	0.00%
Home runs /BIP	0.00%	÷1.093	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 123, 2B 114, 3B 89, K 98, BB 113 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .240 → .157; ISO .017 → .010; BABIP .250 → .163. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.4	3,588	62	116	231	305	339	+38	+24	7.9	6.9
/162	664	12	21	+7.1	+4.4	1.5	pk7: 6
#5Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
#6Pokey Reese'97-'04 * career totals — 8 seasons, 3,138 PA	4.7	3,138	44	144	238*	292*	339*	+19	+41	4.0	4.7
/162	664	9	30	+4.0	+8.7	0.8	pk7: 5

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Adrian Feliz (OGILVIE)	18	—	—	—	—	214/289/284	69	287	0	2	25%	8%	66	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ceddanne Rafaela 2019 · A	18	40→50	37→55	51→55	42	190/239/259	69	241	4	16	23%	5%	40	-3.0	201/251/309	108	253	10	14	24%	5%	57	-1.8	250/287/402	152	300	17	19	22%	4%	93	+0.8
●Juan Lagares 2007 · A	18	40→50	38→45	53→50	45	192/255/278	86	256	4	11	26%	7%	51	-2.2	206/244/285	79	280	4	10	26%	4%	48	-2.5	276/309/387	111	347	6	13	22%	4%	93	+0.7
✕Yunior Garcia 2019 · A	18	35→45	40→45	52→30	43	176/241/269	92	235	7	10	27%	7%	45	-2.7	192/242/291	99	291	9	7	36%	5%	49	-2.4	228/278/346	118	323	12	2	32%	5%	72	-0.3
✕Alberto Rodriguez 2019 · A	18	38→48	37→50	51→50	46	184/251/255	71	245	5	16	26%	8%	45	-2.7	213/271/308	95	288	7	14	27%	7%	64	-1.3	228/292/360	132	326	11	7	31%	7%	81	-0.1
✕Moisés Sierra 2007 · A	18	39→49	37→50	52→50	44	188/256/263	75	240	4	13	23%	6%	49	-2.4	204/253/296	92	279	8	9	29%	4%	55	-2.0	252/302/391	139	320	16	11	25%	5%	93	+0.8
✕Eliezer Álvarez 2014 · A	19	36→46	37→45	50→55	46	176/242/253	76	228	4	12	24%	7%	41	-3.0	231/280/336	105	295	5	13	22%	6%	74	-0.6	254/307/364	110	341	6	19	26%	6%	88	+0.3
✕Dixon Machado 2011 · A	19	41→51	35→45	54→55	47	190/247/244	55	232	2	18	19%	7%	40	-3.0	202/258/245	43	256	2	15	20%	7%	45	-2.7	254/310/331	78	304	5	12	17%	7%	81	-0.1
✕Adrián Sanchez 2009 · A	18	40→48	36→45	52→50	45	189/242/255	66	228	3	14	19%	5%	41	-3.0	220/252/292	72	265	4	11	18%	3%	53	-2.1	245/278/342	97	288	7	15	17%	4%	72	-0.3
●Óscar Mercado 2014 · A	19	38→48	37→50	52→60	40	182/240/255	73	262	4	13	30%	6%	40	-3.0	193/242/260	67	241	4	23	20%	5%	42	-2.9	245/308/380	135	288	13	27	19%	7%	93	+0.7
●Leandro Castro 2008 · A	19	40→50	39→50	53→50	47	193/257/272	79	233	6	18	20%	7%	51	-2.2	206/247/298	92	258	7	14	22%	4%	53	-2.1	244/286/388	144	268	16	11	16%	5%	85	+0.2
✕Luis Liberato 2014 · A	18	38→48	36→50	48→50	44	184/246/249	65	251	3	13	27%	7%	41	-3.0	188/250/266	78	280	3	11	31%	7%	47	-2.6	221/286/368	148	299	15	9	30%	8%	83	+0.0
✕Junior Lake 2008 · A	18	40→50	37→50	49→55	40	193/246/269	76	261	4	9	27%	5%	46	-2.6	207/248/295	88	308	6	10	33%	4%	52	-2.2	246/294/373	127	337	13	19	30%	6%	87	+0.2
✕Esteban Mejia 2024 · A	19	39	36→40	55→50	41	188/242/257	68	263	3	15	28%	6%	41	-3.0	199/263/280	81	297	6	14	32%	7%	55	-1.9	196/265/273	77	287	7	15	32%	7%	52	-1.1
✕Yonathan Perlaza 2017 · A	18	39→49	37→55	48→50	41	187/234/264	76	249	4	14	26%	6%	40	-3.1	201/243/270	69	291	3	11	30%	5%	44	-2.8	241/313/415	174	310	17	12	27%	9%	101	+1.4
✕Jean Carlos Sio 2023 · A	19	38→48	36→45	52→50	52	175/254/238	63	212	3	16	18%	9%	42	-2.9	209/290/287	78	270	5	12	23%	9%	67	-1.1	224/303/331	107	289	11	12	25%	8%	79	-0.2
✕Steward Berroa 2018 · A	19	40→50	36→45	52→65	45	189/257/257	67	264	2	17	28%	8%	47	-2.5	204/269/271	67	302	2	17	30%	8%	55	-2.0	227/306/323	96	332	8	52	31%	10%	79	-0.1
✕Daz Cameron 2016 · A	19	45→48	35→50	53→55	41	204/269/262	58	312	2	21	33%	7%	53	-2.1	201/263/303	102	309	7	18	35%	7%	60	-1.6	227/297/394	166	289	18	26	27%	8%	92	+0.3
✕Sergio Garcia 2010 · A	19	37	37→45	52→60	42	182/238/258	76	243	5	20	26%	6%	40	-3.0	191/243/279	88	272	8	23	31%	6%	47	-2.5	225/251/334	108	298	10	17	28%	3%	59	-0.7
✕Miguel Rojas 2007 · A	18	38→48	34→45	47→50	50	173/259/219	46	217	2	10	20%	8%	41	-3.0	189/250/246	57	225	3	7	16%	6%	42	-2.9	284/339/412	128	316	9	13	13%	7%	114	+1.6
✕Jeffrey Baez 2012 · A	18	40→46	37→50	53→60	43	193/247/267	74	248	5	22	24%	6%	45	-2.7	202/254/291	89	283	6	24	29%	5%	54	-2.0	195/245/296	101	280	8	29	32%	5%	50	-0.7

Adrian Feliz

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps