Steven Herrera — OGILVIE

Steven HerreraSS DSL Miami

Age 18 R/R 6'0" / 160 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION167 act + 15 ros · stats below = ROS only

showingROS

wRC+†61

AVG/OBP/SLG.071 / .133 / .071

PA15

HR0

K%33

BB%7

BABIP246

ISO112

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · ContractCON 35 / POW 45

Toolsscout grade

CONTACT35

scouting grade only

POWER45

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2036	Arb-2	$4M	+0.4	$0.7M	+$0.0M (cut)
2037	Arb-3	$5M	+0.3	$0.5M	+$0.0M (cut)
Totals		$3M		$6M	+$2M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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	17	ROK	DSL Marlins	—	180	142	38	11	0	6	32	54	4	17	5	268	416	472	888	204	381	30	18	394	153	+11	+1	—	—	+4	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Marlins	—	180	155	24	6	0	3	19	80	4	17	5	155	264	252	516	97	278	44	11	239	48	-11	+1	—	—	+4	-0.6
2025	17	ROK MLE	DSL Marlins	—	180	155	24	6	0	3	19	80	4	17	5	155	264	252	516	97	284	44	11	239	48	—	—	—	—	—	—
2025	17	ROK RAW	DSL Marlins	—	180	142	38	11	0	6	32	54	4	17	5	268	416	472	888	204	381	30	18	394	48	—	—	—	—	—	—
2025	17	ROK MLE	DSL Marlins	—	180	155	24	6	0	3	19	80	4	17	5	155	264	252	516	97	278	44	11	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Marlins	—	180	155	24	6	0	3	19	80	4	17	5	155	264	252	516	97	278	44	11	239	48	—	—	—	—	—	—
YTD	18	ROK MLE	MIA	—	167	146	19	4	1	6	17	72	3	16	6	130	235	295	529	164	188	43	10	226	39	-12	+1	+0	+2	+4	-0.6
▸ 2026 season
YTD	18	ROK RAW	MIA	—	167	135	27	7	1	8	28	50	3	16	6	200	349	444	794	244	244	30	17	353	39	—	—	—	—	—	—
ROS	18	ROK MLE	MIA	0%	15	14	1	0	0	0	1	5	0	1	0	71	133	71	205		254	33	7	259	61	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	MIA	—	182	160	20	4	1	6	18	77	3	17	6	125	227	275	502	150	179	42	10	229	41	-13	+1	+0	+2	+4	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	MIA	34%	238	211	40	8	1	6	22	78	3	6	2	190	275	322	598	133	259	33	9	268	67	-9	+0	+0	+3	+5	-0.1
2028	20	MLB MLE	MIA	48%	367	325	62	12	2	9	34	116	5	10	3	191	277	323	601	132	264	32	9	276	73	-12	+1	+0	+4	+8	0.1
2029	21	MLB MLE	MIA	54%	464	411	80	16	2	12	43	143	7	12	3	195	282	331	613	136	266	31	9	282	77	-13	+1	+0	+5	+10	0.4
2030	22	MLB MLE	MIA	57%	532	469	94	19	3	14	50	162	8	13	4	200	288	343	632	143	268	30	9	285	79	-13	+1	+0	+6	+12	0.5
2031	23	MLB MLE	MIA	58%	578	509	103	20	3	16	55	175	9	14	4	202	291	348	639	145	269	30	10	287	81	-13	+1	+0	+6	+13	0.7
2032	24	MLB MLE	MIA	57%	608	536	108	21	3	17	58	184	9	15	4	201	290	347	637	146	270	30	10	289	82	-13	+1	+0	+7	+13	0.8
2033	25	MLB MLE	MIA	57%	625	552	112	22	3	18	59	189	9	16	4	203	290	351	642	149	270	30	9	289	82	-13	+2	+0	+7	+14	0.9
2034	26	MLB MLE	MIA	57%	633	558	113	22	3	18	60	191	10	16	4	203	291	349	641	147	269	30	9	290	82	-13	+2	+0	+7	+14	0.9
2035	27	MLB MLE	MIA	60%	633	557	113	22	3	18	61	191	10	16	4	203	293	350	643	147	269	30	10	290	82	-13	+2	+0	+7	+14	0.9
2036	28	MLB MLE	MIA	62%	629	553	112	22	3	18	61	191	10	15	4	203	293	351	644	148	269	30	10	289	82	-14	+1	-1	+7	+14	0.8
2037	29	MLB MLE	MIA	63%	619	544	109	21	3	17	61	189	9	14	4	200	292	344	635	143	268	31	10	287	81	-14	+1	-1	+7	+13	0.6
2038	30	MLB MLE	MIA	63%	608	534	106	21	3	16	60	187	9	14	4	199	290	339	629	140	267	31	10	285	79	-15	+1	-2	+7	+13	0.4
2039	31	MLB MLE	MIA	65%	594	522	102	20	3	15	58	185	9	13	4	195	287	331	618	136	265	31	10	281	76	-17	+1	-3	+6	+13	0.1
2040	32	MLB MLE	MIA	65%	576	507	97	19	3	14	56	182	8	12	3	191	282	323	605	132	262	32	10	276	73	-19	+1	-4	+6	+12	-0.2
2027	19	MLB CTX	MIA	34%	82	73	13	3	0	2	8	27	1	2	1	178	268	301	570	123	252	33	10	251	67	-3	+0	+0	+1	+2	-0.1
2028	20	MLB CTX	MIA	48%	178	156	30	6	1	4	17	56	3	5	1	192	284	321	605	128	256	31	10	259	73	-6	+1	+0	+2	+4	0.1
2029	21	MLB CTX	MIA	54%	252	222	42	8	1	6	24	78	4	6	2	189	280	315	595	126	259	31	10	264	77	-7	+0	+0	+3	+5	0.2
2030	22	MLB CTX	MIA	57%	301	266	53	10	2	8	28	92	4	8	2	199	285	342	627	143	260	31	9	267	79	-7	+1	+0	+3	+7	0.3
2031	23	MLB CTX	MIA	58%	333	294	58	11	2	9	31	101	5	8	2	197	285	340	625	143	261	30	9	269	81	-8	+1	+0	+4	+7	0.4
2032	24	MLB CTX	MIA	57%	347	306	60	11	2	9	33	105	5	9	2	196	285	333	618	137	262	30	10	270	82	-8	+1	+0	+4	+8	0.5
2033	25	MLB CTX	MIA	57%	354	312	62	12	2	9	34	107	5	9	2	199	288	337	624	138	262	30	10	271	82	-8	+1	+0	+4	+8	0.5
2034	26	MLB CTX	MIA	57%	358	316	63	12	2	10	34	108	5	9	2	199	287	345	632	146	261	30	9	271	82	-8	+1	+0	+4	+8	0.5
2035	27	MLB CTX	MIA	60%	379	333	65	12	2	10	37	115	6	9	3	195	287	333	621	138	261	30	10	271	82	-8	+1	+0	+4	+8	0.5
2036	28	MLB CTX	MIA	62%	389	342	67	13	2	10	38	118	6	9	3	196	288	333	621	137	261	30	10	270	82	-8	+1	-0	+4	+8	0.4
2037	29	MLB CTX	MIA	63%	389	342	66	12	2	10	38	119	6	9	3	193	285	327	612	135	260	31	10	269	81	-9	+1	-1	+4	+8	0.3
2038	30	MLB CTX	MIA	63%	386	339	65	12	2	10	38	119	6	9	2	192	285	327	612	136	259	31	10	266	79	-10	+1	-1	+4	+8	0.3
2039	31	MLB CTX	MIA	65%	386	339	65	12	2	10	38	120	6	8	2	192	285	327	612	136	257	31	10	263	76	-11	+1	-2	+4	+8	0.1
2040	32	MLB CTX	MIA	65%	374	330	61	11	2	9	36	118	5	8	2	185	275	312	587	127	254	32	10	258	73	-12	+1	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4508	3970	770	145	24	116	434	1383	67	108	29	194	284	330	615	136	262	31	10	267	78	-112	+10	-7	+48	+98	3.8
/ 162G	—	A+C		—	650	572	111	21	3	17	63	199	10	16	4	194	285	330	616	136	262	31	10	267	78	-16	+1	-1	+7	+14	0.6
Career	—	MLE		—	7899	6957	1376	271	38	211	758	2448	119	204	56	198	288	339	626	141	269	31	10	284	78	-193	+17	-10	+83	+167	6.5
/ 162G	—	MLE		—	650	572	112	22	3	17	62	201	10	17	5	196	285	334	619	138	266	31	10	284	78	-16	+1	-1	+7	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Bobby 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
#4Danny 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
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.0	4,658	125	112	200	286	342	+50	+27	7.0	6.0
/162	664	18	16	+7.1	+3.8	1.0	pk7: 5
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4

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
Steven Herrera (OGILVIE)	18	35	45	60	60	176/263/300	123	254	3	7	34%	9%	61	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Yunior Garcia 2019 · A	18	37→47	43→50	52→30	40	187/247/297	110	260	10	10	31%	6%	53	-2.1	196/245/302	106	303	10	7	37%	5%	53	-2.1	225/276/346	121	319	13	2	32%	5%	71	-0.3
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕Waner Luciano 2023 · A	18	38	45→40	51→50	46	193/278/316	123	260	12	10	29%	8%	70	-0.8	175/246/273	98	232	10	7	28%	7%	48	-2.5	167/242/258	91	217	10	13	27%	7%	42	-1.5
✕Cristian Hernández 2022 · A	18	45→46	39→45	55→60	46	214/284/299	85	303	7	19	30%	9%	68	-1.0	195/254/269	74	314	6	18	37%	7%	49	-2.4	210/276/309	99	295	8	34	30%	8%	64	-1.1
✕Bryan Rincon 2023 · A	19	42→44	45	53→55	45	210/278/331	121	275	12	11	28%	8%	73	-0.6	192/286/292	100	274	9	22	30%	11%	68	-1.0	183/281/318	135	255	15	31	32%	11%	70	-0.5
✕Yordalin Peña 2023 · A	18	41→38	40→55	56→55	37	198/247/291	93	281	6	10	31%	5%	51	-2.2	189/248/281	92	276	6	12	32%	6%	49	-2.4	184/245/315	131	287	12	17	38%	6%	55	-1.1
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Mairoshendrick Martinus 2023 · A	18	41→47	45→50	51→50	40	204/262/329	125	283	12	11	31%	6%	66	-1.1	178/230/270	92	317	9	13	44%	6%	40	-3.1	200/244/320	120	298	14	17	37%	5%	55	-1.2
✕Wendell Rijo 2015 · A	19	42→43	41→50	51→50	44	205/270/309	104	282	7	12	28%	7%	64	-1.3	200/251/288	88	282	6	11	30%	6%	52	-2.2	208/265/349	141	264	16	14	28%	6%	69	-0.6
✕Athanael Duarte 2023 · A	18	39	42→40	53→45	45	194/262/300	106	257	10	14	28%	8%	59	-1.6	201/266/295	94	268	8	10	26%	7%	60	-1.6	184/255/271	87	254	7	7	29%	7%	49	-0.8
✕Rayne Doncon 2022 · A	18	44→37	41→50	53→40	41	207/271/304	97	312	8	11	34%	7%	63	-1.3	195/246/327	132	253	15	6	29%	6%	59	-1.6	182/237/313	131	233	15	4	29%	6%	51	-1.4
✕Ranfy Adon 2016 · A	18	40	41→45	51→50	42	196/265/297	102	272	8	11	30%	7%	61	-1.5	188/244/281	93	294	7	12	36%	6%	48	-2.5	160/222/245	85	273	8	22	42%	6%	30	-0.9
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
✕Kelvin Hidalgo 2023 · A	18	42→41	40→45	49→55	42	206/266/301	95	275	7	13	27%	6%	61	-1.5	209/266/312	103	295	9	17	31%	6%	63	-1.3	203/255/293	90	297	8	23	33%	5%	53	-1.2
✕Ryan Burrowes 2023 · A	18	44→45	39→40	55→60	46	209/291/296	87	283	6	13	26%	8%	70	-0.8	190/254/255	65	320	4	20	39%	6%	47	-2.6	197/269/273	76	310	7	32	36%	7%	54	-1.5
✕Angel Jimenez 2013 · A	18	41	40	50	46	197/271/292	95	275	8	10	30%	9%	61	-1.5	201/274/294	93	261	8	12	25%	8%	63	-1.3	190/263/280	89	241	8	13	23%	7%	53	-0.8

Career Stats + Projections

Career Comps

Career Path Comps