Howard Reyes — OGILVIE

Howard ReyesC DSL Tigers 1

Age 18 L/R 5'10" / 185 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION123 act + 12 ros · stats below = ROS only

showingROS

wRC+†65

AVG/OBP/SLG.091 / .167 / .091

PA12

HR0

K%33

BB%8

BABIP272

ISO97

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$33M 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	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Arb-1	$3M	+0.8	$2M	+$0.3M
2036	Arb-2	$5M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$7M	+0.6	$1M	+$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. 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)
2025	17	ROK	DSL Tigers 1	—	49	38	6	2	1	1	7	17	4	0	3	158	347	342	689	184	250	35	14	324	106	+0	-1	—	—	+1	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Tigers 1	—	49	41	3	1	1	0	4	25	4	0	3	73	224	146	371	73	177	51	8	180	8	-5	-1	—	—	+1	-0.6
2025	17	ROK MLE	DSL Tigers 1	—	49	41	3	1	1	0	4	25	4	0	3	73	224	146	371	73	188	51	8	180	8	—	—	—	—	—	—
2025	17	ROK RAW	DSL Tigers 1	—	49	38	6	2	1	1	7	17	4	0	3	158	347	342	689	184	250	35	14	324	8	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 1	—	49	41	3	1	1	0	4	25	4	0	3	73	224	146	371	73	177	51	8	180	8	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Tigers 1	—	49	41	3	1	1	0	4	25	4	0	3	73	224	146	371	73	177	51	8	180	8	—	—	—	—	—	—
YTD	18	ROK MLE	DET	—	123	104	16	3	0	3	14	45	4	5	1	154	279	269	548	115	228	37	11	245	52	-7	+1	+0	+2	+3	-0.2
▸ 2026 season
YTD	18	ROK RAW	DET	—	123	96	22	4	0	4	22	31	4	5	1	229	393	396	789	167	290	25	18	361	52	—	—	—	—	—	—
ROS	18	ROK MLE	DET	0%	12	11	1	0	0	0	1	4	0	0	0	91	167	91	258		277	33	8	264	65	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	DET	—	135	115	17	3	0	3	15	49	4	5	1	148	269	252	521	104	219	36	11	247	53	-8	+1	+0	+2	+3	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	DET	34%	195	171	35	6	1	4	18	60	4	4	1	205	295	322	617	117	281	31	9	274	72	-7	+0	+0	+3	+4	0.2
2028	20	MLB MLE	DET	48%	333	293	61	11	2	7	30	100	7	7	2	208	297	331	628	123	283	30	9	282	77	-9	+1	+0	+6	+7	0.5
2029	21	MLB MLE	DET	54%	437	385	80	14	2	10	40	129	9	9	2	208	297	332	630	125	285	30	9	288	81	-10	+1	+0	+8	+9	0.8
2030	22	MLB MLE	DET	57%	511	449	96	17	3	12	47	150	10	11	3	214	302	345	648	131	286	29	9	291	83	-10	+1	+0	+9	+11	1.1
2031	23	MLB MLE	DET	58%	520	457	97	17	3	12	47	152	11	11	3	212	301	341	642	129	287	29	9	293	85	-9	+1	+0	+9	+11	1.2
2032	24	MLB MLE	DET	57%	520	456	99	18	3	13	48	151	11	11	3	217	307	355	662	138	288	29	9	295	86	-9	+1	+0	+9	+11	1.3
2033	25	MLB MLE	DET	57%	520	456	99	18	3	13	48	151	11	11	3	217	307	355	662	138	288	29	9	296	87	-8	+1	+0	+9	+11	1.4
2034	26	MLB MLE	DET	57%	520	456	99	18	3	13	48	151	11	11	3	217	307	355	662	138	287	29	9	297	87	-8	+1	+0	+9	+11	1.4
2035	27	MLB MLE	DET	55%	520	456	98	17	3	13	48	152	11	11	3	215	305	351	656	136	287	29	9	297	87	-8	+1	+0	+9	+11	1.4
2036	28	MLB MLE	DET	55%	520	455	98	17	3	13	49	152	11	11	3	215	307	352	658	136	287	29	9	296	86	-8	+1	-1	+9	+11	1.3
2037	29	MLB MLE	DET	53%	520	455	97	17	3	13	49	153	11	10	3	213	305	349	654	136	286	29	9	294	85	-9	+1	-1	+9	+11	1.1
2038	30	MLB MLE	DET	53%	520	455	96	17	3	12	49	155	11	10	3	211	303	341	644	130	284	30	9	291	83	-10	+1	-2	+9	+11	0.9
2039	31	MLB MLE	DET	52%	504	441	91	16	2	12	48	151	10	10	3	206	299	333	632	127	282	30	10	287	80	-12	+1	-3	+9	+11	0.6
2040	32	MLB MLE	DET	52%	489	430	87	15	2	11	46	149	10	9	2	202	294	323	617	121	278	30	9	282	77	-14	+1	-4	+9	+11	0.3
2041	33	MLB MLE	DET	56%	473	417	82	14	2	10	44	146	9	9	2	197	287	312	599	115	274	31	9	275	72	-16	+1	-4	+8	+10	-0.0
2027	19	MLB CTX	DET	34%	67	60	11	2	0	1	6	21	1	1	0	183	269	267	535	83	276	31	9	256	72	-2	+0	+0	+1	+1	0.1
2028	20	MLB CTX	DET	48%	161	142	29	5	1	3	15	49	3	3	1	204	294	317	611	113	279	30	9	263	77	-4	+0	+0	+3	+3	0.2
2029	21	MLB CTX	DET	54%	237	208	43	8	1	5	22	70	5	5	1	207	298	327	625	120	280	30	9	268	81	-5	+1	+0	+4	+5	0.5
2030	22	MLB CTX	DET	57%	289	255	53	9	2	6	26	85	6	6	2	208	296	329	626	122	281	29	9	272	83	-6	+0	+0	+5	+6	0.6
2031	23	MLB CTX	DET	58%	299	264	56	10	2	7	27	87	6	6	2	212	300	345	644	133	282	29	9	274	85	-5	+0	+0	+5	+6	0.7
2032	24	MLB CTX	DET	57%	296	261	56	10	2	7	27	86	6	6	2	215	303	349	651	134	283	29	9	275	86	-5	+0	+0	+5	+6	0.7
2033	25	MLB CTX	DET	57%	295	260	56	10	2	7	27	86	6	6	2	215	304	350	654	135	283	29	9	276	87	-5	+0	+0	+5	+6	0.8
2034	26	MLB CTX	DET	57%	294	259	55	10	2	7	27	85	6	6	2	212	301	347	649	135	283	29	9	277	87	-5	+0	+0	+5	+6	0.8
2035	27	MLB CTX	DET	55%	289	254	54	9	2	7	27	84	6	6	2	213	303	346	650	134	282	29	9	277	87	-4	+0	+0	+5	+6	0.8
2036	28	MLB CTX	DET	55%	286	251	53	9	2	7	27	84	6	6	2	211	303	347	649	135	282	29	9	276	86	-5	+0	-0	+5	+6	0.7
2037	29	MLB CTX	DET	53%	278	244	50	9	1	6	26	82	6	6	1	205	297	324	621	119	281	29	9	274	85	-5	+1	-1	+5	+6	0.6
2038	30	MLB CTX	DET	53%	274	240	49	9	1	6	26	81	6	5	1	204	298	325	623	121	279	30	9	272	83	-5	+1	-1	+5	+6	0.5
2039	31	MLB CTX	DET	52%	263	231	47	8	1	6	25	79	5	5	1	203	295	325	620	121	277	30	10	268	80	-6	+1	-1	+5	+6	0.3
2040	32	MLB CTX	DET	52%	254	223	43	7	1	5	24	77	5	5	1	193	286	300	586	108	274	30	9	263	77	-7	+1	-2	+5	+6	0.2
2041	33	MLB CTX	DET	56%	265	233	44	7	1	5	25	82	5	5	1	189	281	292	573	103	269	31	9	256	72	-9	+1	-2	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3847	3385	699	122	21	85	357	1138	78	77	21	206	297	330	627	124	282	30	9	271	82	-79	+7	-8	+69	+83	7.4
/ 162G	—	A+C		—	650	572	119	21	4	14	60	192	13	13	4	208	297	332	629	124	285	30	9	271	82	-13	+1	-1	+12	+14	1.2
Career	—	MLE		—	7163	6284	1319	233	39	168	664	2131	151	145	42	210	301	340	640	130	286	30	9	289	82	-148	+13	-15	+127	+154	13.4
/ 162G	—	MLE		—	650	570	120	21	4	15	60	193	14	13	4	211	301	340	642	130	287	30	9	289	82	-14	+1	-1	+12	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jason Castrolast yr '22 career totals — 12 seasons, 3,381 PA	5.1	3,381	97	6	227	312	387	+60	+77	22.5	21.6
/162	664	19	1	+11.9	+15.1	4.4	pk7: 21
#2Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#3Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#4John 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
#5Bobby 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
#6Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.9	3,920	91	79	211	298	340	+70	+36	10.3	8.4
/162	664	15	13	+11.9	+6.1	1.7	pk7: 6

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
Howard Reyes (OGILVIE)	18	—	—	—	—	189/279/288	99	277	1	2	32%	9%	65	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Leopoldo Correa 2010 · A	18	41	42→45	50→30	48	197/280/305	107	291	9	5	33%	10%	68	-1.0	210/272/297	87	263	6	3	21%	7%	62	-1.4	212/269/300	89	261	8	0	21%	6%	58	-0.5
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Carlos Rodriguez 2022 · A	19	39	41→45	46→45	48	183/286/282	99	291	8	6	36%	11%	66	-1.1	184/261/262	78	291	6	6	35%	9%	51	-2.3	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕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
✕Bo Naylor 2019 · A	19	44→43	39→55	52→50	46	210/278/299	89	296	6	9	30%	8%	65	-1.2	190/247/308	118	273	11	8	33%	7%	55	-1.9	213/305/387	174	267	21	12	27%	11%	94	+0.7
✕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
●Carter Jensen 2023 · A	20	37→47	43→55	45→50	46	184/266/293	108	267	10	7	33%	10%	60	-1.6	197/285/328	131	277	13	9	31%	11%	75	-0.5	225/304/406	181	290	21	8	29%	10%	98	+1.1
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4
●Moisés Ballesteros 2022 · A	18	45→55	40→50	50→40	52	216/294/311	95	269	7	8	22%	9%	74	-0.5	225/287/355	130	281	15	4	24%	8%	81	-0.1	255/314/382	127	304	14	3	20%	7%	96	+0.9
✕Termarr Johnson 2023 · A	19	46→49	41→45	52→55	47	211/293/316	105	325	7	14	34%	10%	75	-0.5	210/312/335	125	297	14	12	31%	12%	87	+0.4	208/305/322	114	282	13	14	29%	11%	79	-0.2
✕Hector Osorio 2023 · A	18	47	37→45	47→50	48	219/301/296	77	303	4	8	27%	9%	74	-0.6	214/320/283	69	272	4	14	20%	11%	78	-0.3	222/318/349	127	252	16	10	19%	9%	90	+0.3
✕Meibrys Viloria 2015 · A	18	45→47	40→45	46→40	48	218/285/316	97	280	7	5	24%	8%	72	-0.7	233/285/324	91	297	6	3	22%	6%	72	-0.7	243/287/342	99	309	8	2	23%	5%	75	-0.2
✕Samuel Basallo 2023 · A	18	41→49	44→55	48→45	40	207/262/315	108	280	13	4	30%	6%	63	-1.4	232/288/385	153	298	18	7	27%	7%	88	+0.5	229/288/395	166	286	21	6	27%	7%	88	+0.4
✕Omar Alfonzo 2022 · A	18	43→40	38→45	49→40	51	198/298/275	77	306	5	4	34%	12%	68	-1.0	194/282/284	90	295	8	4	33%	10%	64	-1.3	200/285/310	110	312	13	2	37%	10%	69	-0.6
✕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
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Marcelo Mayer 2022 · A	19	46	42→50	52→50	42	215/278/321	106	327	10	12	35%	8%	70	-0.8	219/284/361	142	316	14	12	33%	8%	82	-0.0	221/283/367	147	304	15	14	31%	7%	81	-0.0
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Jose Escobar 2023 · A	18	45→55	43→45	57→45	40	220/270/339	119	285	9	15	26%	5%	71	-0.8	223/290/326	103	293	9	12	26%	7%	76	-0.4	233/299/331	99	302	8	8	24%	7%	78	-0.2

Career Stats + Projections

Career Comps

Career Path Comps