Ricardo Hurtado — OGILVIE

Ricardo HurtadoC West Michigan Whitecaps

Age 23 R/R 5'10" / 180 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION427 act + 10 ros · stats below = ROS only

showingROS

wRC+†62

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP252

ISO112

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 35 / POW 40

Toolsscout grade

CONTACT35

scouting grade only

POWER40

scouting grade only

EYE30

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2031	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Arb-1	$0.6M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-2	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$0.9M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2022	19	ROK	DSL Tigers 2	—	114	81	16	7	0	0	21	12	12	2	1	198	430	284	714	86	232	11	18	356	127	+4	+0	—	—	+2	0.6
2023	20	ROK	FCL Tigers	—	93	76	17	4	1	3	9	25	5	1	0	224	344	421	765	197	280	27	10	334	112	+1	+0	—	—	+2	0.4
2024	21	A	Lakeland Flying Tigers	—	22	16	4	1	0	0	4	5	1	0	0	250	429	312	741	62	333	23	18	342	118	+0	+0	—	—	+0	0.1
2024	21	ROK	FCL Tigers	—	161	116	27	9	0	3	33	40	9	2	1	233	434	388	822	155	320	25	20	379	143	+8	+0	—	—	+3	1.2
2025	22	A	Lakeland Flying Tigers	—	345	307	75	16	0	9	29	92	6	0	0	244	320	384	704	140	319	27	8	316	100	+0	+0	—	—	+7	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	19	ROK MLE	DSL Tigers 2	—	114	89	13	5	0	0	13	17	12	2	1	146	333	202	536	56	173	15	11	249	55	-6	+0	—	—	+2	-0.4
2023	20	ROK MLE	FCL Tigers	—	93	79	13	3	1	2	6	37	5	1	0	165	267	304	570	139	215	40	6	234	45	-6	+0	—	—	+2	-0.4
2024	21	A MLE	Lakeland Flying Tigers	—	22	17	4	1	0	0	3	7	1	0	0	235	381	294	675	59	295	32	14	290	82	-0	+0	—	—	+0	0.0
2024	21	ROK MLE	FCL Tigers	—	161	130	21	7	0	2	20	58	9	2	1	162	314	262	576	100	246	36	12	265	65	-7	+0	—	—	+3	-0.3
2025	22	A MLE	Lakeland Flying Tigers	—	345	315	57	13	0	8	23	131	6	0	0	181	250	298	548	117	273	38	7	243	51	-20	+0	—	—	+7	-1.3
2022	19	ROK MLE	DSL Tigers 2	—	114	89	13	5	0	0	13	17	12	2	1	146	333	202	536	56	181	15	11	249	55	—	—	—	—	—	—
2022	19	ROK RAW	DSL Tigers 2	—	114	81	16	7	0	0	21	12	12	2	1	198	430	284	714	86	232	11	18	356	55	—	—	—	—	—	—
2023	20	ROK MLE	FCL Tigers	—	93	79	13	3	1	2	6	37	5	1	0	165	267	304	570	139	262	40	6	234	45	—	—	—	—	—	—
2023	20	ROK RAW	FCL Tigers	—	93	76	17	4	1	3	9	25	5	1	0	224	344	421	765	197	280	27	10	334	45	—	—	—	—	—	—
2024	21	ROK MLE	2 teams	—	183	148	24	7	0	2	22	65	10	2	1	162	311	250	561	88	262	36	12	268	68	—	—	—	—	—	—
2024	21	ROK RAW	2 teams	—	183	132	31	10	0	3	37	45	10	2	1	235	433	379	812	144	322	25	20	375	68	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	345	315	57	13	0	8	23	131	6	0	0	181	250	298	548	117	277	38	7	243	51	—	—	—	—	—	—
2025	22	A RAW	Lakeland Flying Tigers	—	345	307	75	16	0	9	29	92	6	0	0	244	320	384	704	140	319	27	8	316	51	—	—	—	—	—	—
2022	19	ROK MLE	DSL Tigers 2	—	114	88	13	5	0	0	13	17	12	2	1	148	333	205	538	57	173	15	11	249	55	—	—	—	—	—	—
2023	20	ROK MLE	FCL Tigers	—	93	82	13	3	1	2	6	37	5	1	0	159	267	293	559	134	215	40	6	234	45	—	—	—	—	—	—
2024	21	ROK MLE	2 teams	—	183	149	24	7	0	2	22	65	10	2	1	161	311	248	559	87	252	36	12	268	68	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	345	313	57	13	0	8	23	131	6	0	0	182	250	300	550	118	273	38	7	243	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	FCL Tigers	—	93	82	13	3	1	2	6	37	5	1	0	159	267	293	559	134	215	40	6	234	45	—	—	—	—	—	—
2024	21	ROK MLE	2 teams	—	183	149	24	7	0	2	22	65	10	2	1	161	311	248	559	87	252	36	12	268	68	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	345	313	57	13	0	8	23	131	6	0	0	182	250	300	550	118	273	38	7	243	51	—	—	—	—	—	—
YTD	23	A+ MLE	DET	—	427	360	53	11	0	7	49	155	16	6	1	147	278	236	514	89	230	36	11	238	47	-27	+1	+0	+8	+9	-0.9
▸ 2026 season
YTD	23	A+ RAW	DET	—	427	340	65	14	0	9	69	115	16	6	1	191	353	312	665	121	257	27	16	315	47	—	—	—	—	—	—
ROS	23	A+ MLE	DET	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		257	40	10	260	62	-0	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	DET	—	437	369	54	11	0	7	50	159	16	6	1	146	276	233	509	87	229	36	11	239	48	-27	+1	+0	+8	+9	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	38%	432	373	67	14	1	9	45	145	11	3	1	180	287	295	582	115	262	34	10	269	68	-16	+0	+0	+8	+9	0.1
2028	25	MLB MLE	DET	55%	462	400	75	16	1	10	48	150	11	4	1	188	292	307	599	120	265	32	10	275	72	-15	+0	+0	+8	+10	0.4
2029	26	MLB MLE	DET	64%	479	415	78	16	1	11	49	153	12	4	1	188	292	311	603	123	266	32	10	279	75	-14	+0	+0	+9	+10	0.5
2030	27	MLB MLE	DET	66%	484	419	80	17	1	11	50	154	12	4	1	191	295	315	610	124	267	32	10	280	76	-14	+0	+0	+9	+10	0.6
2031	28	MLB MLE	DET	67%	481	417	79	16	1	11	50	154	11	4	1	189	293	312	605	122	266	32	10	279	75	-14	+0	-1	+9	+10	0.4
2032	29	MLB MLE	DET	66%	473	409	78	16	1	11	50	152	11	3	1	191	296	315	611	125	265	32	11	277	74	-15	+0	-1	+8	+10	0.3
2033	30	MLB MLE	DET	65%	464	401	73	15	0	10	49	151	11	3	1	182	289	294	583	112	263	33	11	274	72	-16	+0	-2	+8	+10	0.1
2034	31	MLB MLE	DET	65%	436	377	68	14	0	9	46	143	10	2	0	180	286	289	575	109	261	33	11	270	69	-16	+0	-3	+8	+9	-0.1
2027	24	MLB CTX	DET	38%	164	142	24	5	0	3	17	55	4	1	0	169	276	268	544	99	257	34	10	246	68	-6	+0	+0	+3	+4	0.0
2028	25	MLB CTX	DET	55%	256	222	39	8	0	5	26	83	6	2	0	176	280	279	559	104	260	32	10	253	72	-8	+0	+0	+5	+6	0.2
2029	26	MLB CTX	DET	64%	305	264	49	10	0	7	31	98	7	2	0	186	288	303	591	117	261	32	10	257	75	-9	+0	+0	+5	+7	0.3
2030	27	MLB CTX	DET	66%	318	274	52	11	1	7	33	101	8	3	1	190	295	314	609	124	262	32	10	258	76	-9	+0	+0	+6	+7	0.4
2031	28	MLB CTX	DET	67%	321	276	51	11	0	7	34	103	8	2	0	185	292	301	593	116	261	32	11	257	75	-10	+0	-0	+6	+7	0.3
2032	29	MLB CTX	DET	66%	311	268	49	10	0	7	33	100	7	2	0	183	289	299	587	116	260	32	11	255	74	-10	+0	-1	+6	+7	0.2
2033	30	MLB CTX	DET	65%	302	260	47	10	0	6	32	98	7	2	0	181	288	288	576	108	259	32	11	253	72	-10	+0	-1	+5	+7	0.1
2034	31	MLB CTX	DET	65%	282	243	44	9	0	6	30	92	7	2	0	181	289	292	581	111	256	33	11	249	69	-10	+0	-2	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2259	1949	355	74	1	48	236	730	54	16	1	182	288	295	583	113	259	32	10	254	70	-73	+3	-5	+40	+49	1.5
/ 162G	—	A+C		—	650	561	102	21	0	14	68	210	16	5	0	182	289	294	583	112	258	32	10	254	70	-21	+1	-1	+12	+14	0.4
Career	—	MLE		—	4456	3851	706	152	7	94	452	1456	122	32	9	183	289	300	589	116	263	33	10	271	70	-121	+3	-7	+66	+81	2.2
/ 162G	—	MLE		—	650	562	103	22	1	14	66	212	18	5	1	183	289	301	590	117	263	33	10	271	70	-21	+0	-1	+12	+14	0.4

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
#3Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#4Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.4	2,262	50	17	188	289	307	+40	+20	3.2	3.1
/162	664	15	5	+11.9	+5.9	0.9	pk7: 3

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
Ricardo Hurtado (OGILVIE)	23	35	40	40	30	168/280/268	100	257	6	3	35%	10%	62	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jimmy Glowenke 2022 · A	23	42→38	46→45	43→45	40	207/277/338	131	296	13	5	33%	6%	74	-0.5	195/267/314	119	273	13	5	32%	6%	65	-1.2	180/257/286	106	245	12	5	30%	6%	53	-1.3
✕Andrew Susac 2013 · A	23	42→38	43→50	45→30	45	204/279/315	111	288	11	4	31%	9%	70	-0.9	217/292/358	141	289	16	3	29%	9%	84	+0.2	217/296/371	154	282	18	1	28%	9%	86	+0.1
✕Marcus Greene Jr. 2018 · A	23	39	47→50	42→40	42	204/265/335	132	265	15	4	29%	7%	69	-0.9	214/269/319	105	302	10	5	31%	6%	66	-1.1	199/250/262	63	298	6	0	34%	6%	42	-0.9
✕Pedro Pagés 2022 · A	23	43→45	43→50	42→40	42	211/278/315	104	301	11	4	32%	7%	69	-0.9	213/277/334	121	292	13	4	30%	7%	73	-0.6	227/286/364	137	285	17	2	26%	7%	81	-0.0
✕Bryan Holaday 2011 · A	23	42	42→45	47→40	42	201/282/303	102	295	9	5	33%	8%	69	-0.9	209/262/295	86	270	7	6	24%	5%	58	-1.7	220/288/344	124	255	13	2	19%	7%	76	-0.1
✕Brett Cumberland 2018 · A	23	41→40	45	38→30	36	195/294/323	128	316	13	3	38%	6%	79	-0.2	200/295/328	128	293	14	3	34%	8%	80	-0.1	174/292/275	101	262	11	1	34%	8%	65	-0.5
✕Michael Barash 2018 · A	23	41	44→45	42→45	44	208/270/322	114	273	12	3	28%	7%	68	-1.0	210/285/327	117	280	12	6	27%	9%	74	-0.5	183/280/300	117	234	13	4	26%	11%	64	-0.4
✕Ben Heath 2012 · A	23	42	46→45	42→30	38	210/259/336	126	295	14	3	33%	6%	67	-1.1	220/263/329	109	322	11	5	33%	5%	66	-1.1	227/260/316	89	335	10	2	34%	4%	57	-0.7
✕Abrahan Gutierrez 2023 · A	23	47→43	42→45	45→40	45	224/297/329	105	313	9	4	30%	8%	79	-0.2	215/274/302	87	280	7	5	24%	6%	64	-1.3	222/258/285	63	282	4	2	22%	4%	50	-0.5
✕Nick Hutchins 2019 · A	23	43	46→50	47→40	39	213/270/346	132	296	12	3	31%	6%	73	-0.6	208/250/308	100	294	8	5	31%	4%	56	-1.9	195/224/282	86	275	7	4	31%	2%	36	-1.6
✕Carson Blair 2013 · A	23	35	42→50	43→30	38	176/239/285	109	279	9	6	39%	7%	47	-2.5	200/272/335	135	323	12	4	38%	9%	72	-0.7	196/274/342	145	318	14	1	39%	9%	71	-0.4
✕Aaron McKeithan 2023 · A	23	45	40	45→40	44	215/292/306	91	293	8	4	28%	7%	73	-0.6	217/295/297	80	271	8	4	22%	7%	72	-0.7	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Jakson Reetz 2019 · A	23	41→33	40→55	39→45	43	198/274/287	88	281	8	5	30%	7%	61	-1.5	198/277/315	117	286	12	5	33%	7%	70	-0.9	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Payton Henry 2019 · A	22	40→31	42→45	41→30	36	187/256/291	104	323	10	3	42%	7%	56	-1.9	193/255/294	101	319	11	3	41%	5%	56	-1.9	242/289/361	119	320	16	1	29%	4%	79	-0.1
✕Deon Stafford 2019 · A	23	42	44→45	42→30	36	207/253/329	122	303	11	3	35%	5%	62	-1.4	199/259/312	113	306	11	4	36%	7%	61	-1.5	169/243/250	81	273	8	1	38%	8%	39	-1.6
✕Aramis Garcia 2016 · A	23	42→41	46→50	45	42	213/271/338	125	281	15	3	30%	7%	72	-0.7	215/261/345	130	289	15	3	30%	5%	70	-0.9	213/254/350	137	283	17	0	31%	4%	65	-0.7
✕Joseph Odom 2015 · A	23	39	41→45	40→30	44	191/261/283	92	275	9	5	32%	8%	55	-1.9	210/256/322	112	283	11	3	29%	5%	61	-1.5	209/248/319	110	280	10	0	29%	4%	55	-1.0
✕Jeremy Farrell 2010 · A	23	45→38	41→45	43→45	40	215/275/310	95	303	8	4	30%	6%	66	-1.1	226/288/335	109	310	9	6	28%	6%	77	-0.3	219/285/319	100	302	8	5	28%	6%	69	-0.5
✕Joe DeCarlo 2017 · A	23	38	45→50	47→30	44	190/278/314	124	278	13	2	34%	9%	70	-0.8	197/273/328	131	280	15	3	33%	8%	71	-0.8	180/256/302	122	254	15	0	34%	7%	56	-0.8
✕A.J. Murray 2016 · A	23	43→36	41→45	44→30	43	209/277/309	100	299	9	4	31%	7%	68	-1.0	200/264/301	101	286	9	3	31%	6%	61	-1.5	182/249/284	102	257	9	1	31%	6%	49	-1.9

Career Stats + Projections

Career Comps

Career Path Comps