Diomar Hidalgo — OGILVIE

Diomar HidalgoSS DSL Red Sox Red

Age 19 R/R 6'0" / 163 lbs ROK HR -5%K -4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION25 act + 7 ros · stats below = ROS only

showingROS

wRC+†71

AVG/OBP/SLG.167 / .286 / .167

PA7

HR0

K%29

BB%14

BABIP295

ISO78

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$32M ctrl surplus

Tools · Contract

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	+0.8	$2M	+$2M
2033	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.1M
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$9M	+$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. 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	18	ROK	DSL Red Sox Blue	—	103	78	21	3	0	1	22	18	3	13	4	269	447	346	793	77	339	17	21	377	142	+5	+1	—	—	+2	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	18	ROK MLE	DSL Red Sox Blue	—	103	86	18	2	0	1	14	26	3	13	4	209	340	267	607	58	286	25	14	280	76	-3	+1	—	—	+2	0.0
2025	18	ROK MLE	DSL Red Sox Blue	—	103	86	18	2	0	1	14	26	3	13	4	209	340	267	607	58	288	25	14	280	76	—	—	—	—	—	—
2025	18	ROK RAW	DSL Red Sox Blue	—	103	78	21	3	0	1	22	18	3	13	4	269	447	346	793	77	339	17	21	377	76	—	—	—	—	—	—
2025	18	ROK MLE	DSL Red Sox Blue	—	103	85	18	2	0	1	14	26	3	13	4	212	340	271	610	59	286	25	14	280	76	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	18	ROK MLE	DSL Red Sox Blue	—	103	85	18	2	0	1	14	26	3	13	4	212	340	271	610	59	286	25	14	280	76	—	—	—	—	—	—
YTD	19	ROK MLE	BOS	—	25	22	3	1	0	0	2	6	1	1	1	136	240	182	422	45	188	24	8	248	54	-1	-0	+0	+0	+1	-0.1
▸ 2026 season
YTD	19	ROK RAW	BOS	—	25	20	5	2	0	0	4	4	1	1	1	250	400	350	750	100	312	16	16	352	54	—	—	—	—	—	—
ROS	19	ROK MLE	BOS	0%	7	6	1	0	0	0	1	2	0	0	0	167	286	167	452		289	29	14	273	71	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	BOS	—	32	28	4	1	0	0	3	8	1	1	1	143	250	179	429	36	200	25	9	253	58	-2	-0	+0	+0	+1	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	BOS	34%	179	157	35	6	1	2	17	46	3	5	1	223	311	312	623	89	291	26	9	282	77	-5	+1	+0	+2	+4	0.2
2028	21	MLB MLE	BOS	48%	316	279	64	11	2	5	29	79	5	8	1	229	313	337	650	108	292	25	9	289	82	-7	+1	+0	+3	+7	0.5
2029	22	MLB MLE	BOS	54%	417	370	83	14	2	7	38	103	6	11	2	224	307	330	636	105	293	25	9	294	85	-7	+1	+0	+4	+9	0.8
2030	23	MLB MLE	BOS	57%	484	429	99	17	3	9	45	119	7	12	2	231	314	347	661	117	294	25	9	297	87	-7	+2	+0	+5	+10	1.0
2031	24	MLB MLE	BOS	57%	528	466	108	18	3	10	49	130	8	14	2	232	315	348	663	116	295	25	9	299	88	-7	+2	+0	+6	+11	1.2
2032	25	MLB MLE	BOS	57%	554	490	113	19	3	11	51	136	8	14	2	231	313	349	662	118	295	25	9	300	89	-7	+2	+0	+6	+12	1.3
2033	26	MLB MLE	BOS	56%	568	501	116	20	3	11	53	140	9	15	2	232	316	349	665	118	295	25	9	301	90	-7	+2	+0	+6	+12	1.4
2034	27	MLB MLE	BOS	55%	572	504	117	20	3	11	54	141	9	15	2	232	317	349	667	117	295	25	9	301	90	-7	+2	+0	+6	+12	1.4
2035	28	MLB MLE	BOS	55%	570	502	116	20	3	11	54	141	9	14	2	231	317	349	665	118	295	25	9	300	89	-7	+2	-1	+6	+12	1.3
2036	29	MLB MLE	BOS	53%	562	495	114	19	3	11	54	140	8	14	2	230	316	347	663	117	294	25	10	299	88	-8	+2	-1	+6	+12	1.1
2037	30	MLB MLE	BOS	53%	553	487	111	19	3	10	53	140	8	14	2	228	314	341	655	113	293	25	10	296	87	-9	+2	-2	+6	+12	0.9
2038	31	MLB MLE	BOS	52%	539	475	106	18	2	9	51	138	8	13	2	223	309	326	635	103	291	26	9	292	84	-10	+2	-3	+6	+12	0.6
2039	32	MLB MLE	BOS	52%	521	458	101	17	2	9	50	135	8	12	2	221	308	325	633	105	288	26	10	287	80	-12	+2	-4	+6	+11	0.3
2040	33	MLB MLE	BOS	56%	492	435	94	15	2	8	47	130	7	11	2	216	303	315	618	99	285	26	10	281	76	-14	+1	-4	+5	+11	-0.1
2027	20	MLB CTX	BOS	34%	62	55	12	2	0	1	6	16	1	2	0	218	306	309	616	91	297	26	10	274	77	-2	+0	+0	+1	+1	0.1
2028	21	MLB CTX	BOS	48%	153	136	30	5	1	2	14	38	2	4	1	221	303	316	619	96	298	25	9	281	82	-3	+0	+0	+2	+3	0.2
2029	22	MLB CTX	BOS	54%	226	200	46	8	1	4	21	56	3	6	1	230	312	340	653	110	299	25	9	285	85	-4	+1	+0	+2	+5	0.4
2030	23	MLB CTX	BOS	57%	274	243	56	10	1	5	25	68	4	7	1	230	312	342	654	111	300	25	9	288	87	-4	+1	+0	+3	+6	0.6
2031	24	MLB CTX	BOS	57%	299	264	61	11	1	5	28	74	5	8	1	231	316	337	654	106	300	25	9	290	88	-4	+1	+0	+3	+6	0.7
2032	25	MLB CTX	BOS	57%	313	276	65	12	1	6	29	77	5	8	1	236	319	351	671	116	301	25	9	292	89	-4	+1	+0	+3	+7	0.8
2033	26	MLB CTX	BOS	56%	321	283	66	12	1	6	30	79	5	8	1	233	318	346	664	113	300	25	9	292	90	-4	+1	+0	+3	+7	0.8
2034	27	MLB CTX	BOS	55%	317	279	66	12	1	6	30	78	5	8	1	237	322	351	673	115	300	25	9	293	90	-4	+1	+0	+3	+7	0.8
2035	28	MLB CTX	BOS	55%	313	275	64	11	1	6	30	78	5	8	1	233	319	345	665	113	300	25	10	292	89	-4	+1	-0	+3	+7	0.7
2036	29	MLB CTX	BOS	53%	300	263	62	11	1	6	29	75	5	7	1	236	323	354	677	118	299	25	10	290	88	-4	+1	-1	+3	+6	0.6
2037	30	MLB CTX	BOS	53%	291	257	58	10	1	5	28	73	4	7	1	226	311	331	642	105	299	25	10	288	87	-5	+1	-1	+3	+6	0.5
2038	31	MLB CTX	BOS	52%	281	248	57	10	1	5	27	72	4	7	1	230	315	339	654	109	296	26	10	284	84	-5	+1	-1	+3	+6	0.3
2039	32	MLB CTX	BOS	52%	270	238	53	9	1	4	26	70	4	6	1	223	310	319	629	97	293	26	10	279	80	-6	+1	-2	+3	+6	0.1
2040	33	MLB CTX	BOS	56%	276	244	53	9	1	4	26	73	4	6	1	217	303	311	614	94	290	26	9	273	76	-8	+1	-2	+3	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3696	3261	749	132	13	65	349	927	56	92	13	230	315	338	653	108	299	25	9	287	86	-61	+13	-8	+40	+80	6.5
/ 162G	—	A+C		—	650	573	131	23	2	11	61	163	10	16	2	229	313	333	647	105	299	25	9	287	86	-11	+2	-1	+7	+14	1.1
Career	—	MLE		—	6965	6140	1396	235	35	125	660	1746	106	185	30	227	313	338	651	111	295	25	9	295	86	-115	+24	-15	+74	+149	11.9
/ 162G	—	MLE		—	650	573	130	22	3	12	62	163	10	17	3	227	313	339	652	112	294	25	10	295	86	-11	+2	-1	+7	+14	1.1

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
#3Leonys Martinlast yr '19 career totals — 8 seasons, 2,784 PA	4.2	2,784	58	126	243	301	366	+10	+53	10.7	10.8
/162	664	14	30	+2.4	+12.6	2.5	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
#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 8 projected seasons	5.7	3,784	68	95	228	309	338	+41	+24	9.4	7.9
/162	664	12	17	+7.1	+4.2	1.7	pk7: 6
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	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
Diomar Hidalgo (OGILVIE)	19	—	—	—	—	212/296/290	78	289	1	2	26%	9%	71	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕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
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/269/291	91	259	7	13	25%	8%	60	-1.6	202/254/274	72	296	2	25	30%	6%	49	-2.4	242/294/410	167	331	20	27	32%	6%	94	+0.4
✕Jose Astudillo 2023 · A	19	44	37→45	54→55	47	208/265/283	75	252	3	14	19%	6%	56	-1.9	245/295/319	74	283	3	14	14%	5%	75	-0.5	286/329/371	85	315	6	22	11%	5%	96	+0.4
✕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
✕Jesus Rodriguez 2021 · A	19	46→55	42→45	49→50	46	224/285/337	113	288	9	9	25%	8%	76	-0.4	235/301/339	104	297	6	12	21%	8%	82	+0.0	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Miguel Amaya 2018 · A	19	44→41	36→50	48→40	46	204/270/273	69	249	3	9	19%	6%	57	-1.8	209/279/329	120	264	12	3	25%	7%	73	-0.6	212/319/354	142	290	16	3	30%	10%	93	+0.3
✕Samad Taylor 2017 · A	19	45→54	38→45	50→65	42	214/266/292	78	290	4	10	27%	6%	58	-1.7	192/258/286	94	273	6	18	30%	7%	55	-2.0	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Darell Hernaiz 2021 · A	19	45→55	39→45	52→50	44	211/276/297	86	310	7	9	32%	8%	63	-1.3	236/282/327	91	298	8	17	23%	5%	72	-0.7	253/310/346	93	295	7	12	16%	7%	85	+0.2
✕Guillermo Pimentel 2009 · A	19	44	39→40	48→55	47	209/298/288	79	282	7	17	26%	8%	72	-0.7	199/266/274	75	324	6	12	37%	7%	55	-1.9	172/232/231	59	310	6	11	43%	7%	30	-1.1
✕Jonathan Galvez 2010 · A	19	44→48	42→45	50→55	49	212/297/322	110	288	9	12	28%	10%	78	-0.3	220/281/338	118	321	11	16	33%	7%	75	-0.5	235/283/350	115	329	10	23	30%	5%	76	-0.3
✕Dilson Herrera 2013 · A	19	44→54	43→50	51→50	43	214/269/331	117	274	9	13	25%	6%	69	-0.9	238/288/366	128	310	12	12	26%	6%	84	+0.1	254/305/388	134	310	14	13	22%	6%	92	+0.7
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Ezequiel Tovar 2021 · A	19	45→49	37→55	49→50	43	209/275/287	78	306	4	12	31%	8%	61	-1.5	237/274/370	133	286	14	15	22%	4%	80	-0.2	245/282/403	158	315	17	11	27%	4%	89	+0.5
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	193/266/287	94	270	9	17	30%	8%	58	-1.7	218/283/318	100	304	7	21	28%	8%	71	-0.8	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Jhostynxon Garcia 2022 · A	19	43→41	41→50	47→50	51	206/290/306	101	284	7	8	28%	10%	72	-0.7	190/261/308	118	286	11	9	35%	8%	61	-1.5	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Jared Serna 2022 · A	20	42→48	39→45	56→50	53	200/298/293	93	253	6	22	22%	10%	72	-0.7	217/285/340	123	274	12	17	24%	7%	78	-0.3	217/277/347	130	268	14	15	24%	6%	74	-0.4
✕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

Career Stats + Projections

Career Comps

Career Path Comps