Jose Flores — OGILVIE

Jose FloresC DSL Orioles Orange

Age 18 R/R 5'11" / 165 lbs ROK HR +9% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION82 act + 8 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%25

BB%12

BABIP293

ISO70

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$26M 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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.3M
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$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. 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 Orioles Black	—	84	70	11	3	0	0	9	27	1	1	0	157	263	200	463	43	244	32	11	216	32	-7	+0	—	—	+2	-0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Orioles Black	—	84	73	8	2	0	0	6	40	1	1	0	110	188	137	324	27	196	48	7	146	-15	-11	+0	—	—	+2	-1.0
2025	17	ROK MLE	DSL Orioles Black	—	84	73	8	2	0	0	6	40	1	1	0	110	188	137	324	27	229	48	7	146	-15	—	—	—	—	—	—
2025	17	ROK RAW	DSL Orioles Black	—	84	70	11	3	0	0	9	27	1	1	0	157	263	200	463	43	244	32	11	216	-15	—	—	—	—	—	—
2025	17	ROK MLE	DSL Orioles Black	—	84	77	8	2	0	0	6	40	1	1	0	104	188	130	317	26	196	48	7	146	-15	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Orioles Black	—	84	77	8	2	0	0	6	40	1	1	0	104	188	130	317	26	196	48	7	146	-15	—	—	—	—	—	—
YTD	18	ROK MLE	BAL	—	82	67	12	1	0	0	13	26	2	0	3	179	329	194	523	15	293	32	16	261	63	-4	-1	+0	+1	+2	-0.2
▸ 2026 season
YTD	18	ROK RAW	BAL	—	82	59	15	2	0	0	21	18	2	0	3	254	463	288	752	34	366	22	26	371	63	—	—	—	—	—	—
ROS	18	ROK MLE	BAL	0%	8	7	1	0	0	0	1	2	0	0	0	143	250	143	393		290	25	12	255	59	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	BAL	—	90	74	13	1	0	0	14	28	2	0	3	176	322	189	511	14	283	31	16	260	62	-4	-1	+0	+2	+2	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	BAL	34%	169	148	31	5	1	2	17	50	2	1	1	209	299	297	597	88	293	30	10	268	68	-6	-0	+0	+3	+4	-0.0
2028	20	MLB MLE	BAL	48%	312	274	58	10	1	4	30	91	5	1	1	212	301	299	600	88	295	29	10	278	74	-10	-0	+0	+6	+7	0.3
2029	21	MLB MLE	BAL	54%	422	372	80	13	2	7	41	121	6	1	1	215	303	317	620	102	296	29	10	284	78	-11	-0	+0	+8	+9	0.6
2030	22	MLB MLE	BAL	57%	501	439	96	16	2	9	49	142	8	2	2	219	308	326	634	107	297	28	10	288	81	-11	-0	+0	+9	+11	0.8
2031	23	MLB MLE	BAL	58%	520	456	100	17	2	9	51	147	8	2	2	219	309	325	633	105	298	28	10	291	83	-11	-0	+0	+9	+11	1.0
2032	24	MLB MLE	BAL	57%	520	456	101	17	2	10	51	146	8	2	2	221	311	333	644	112	299	28	10	293	85	-10	-0	+0	+9	+11	1.1
2033	25	MLB MLE	BAL	57%	520	456	101	17	2	10	51	146	8	2	2	221	311	333	644	112	299	28	10	295	86	-9	-0	+0	+9	+11	1.1
2034	26	MLB MLE	BAL	57%	520	456	102	17	2	11	51	146	8	2	2	224	313	342	655	118	299	28	10	296	86	-8	-0	+0	+9	+11	1.2
2035	27	MLB MLE	BAL	55%	520	455	101	17	2	11	52	146	8	2	2	222	313	341	653	119	298	28	10	296	86	-8	-0	+0	+9	+11	1.2
2036	28	MLB MLE	BAL	55%	520	455	99	16	2	10	52	147	8	2	2	218	309	327	636	110	298	28	10	295	86	-9	-0	-1	+9	+11	1.1
2037	29	MLB MLE	BAL	53%	520	454	99	16	2	10	53	148	8	2	2	218	311	328	639	110	297	28	10	293	84	-10	-0	-1	+9	+11	0.9
2038	30	MLB MLE	BAL	53%	520	454	99	16	2	10	53	150	8	2	1	218	311	328	639	110	295	29	10	290	82	-11	+0	-2	+9	+11	0.8
2039	31	MLB MLE	BAL	52%	504	440	94	15	2	9	51	147	8	1	1	214	307	318	625	105	293	29	10	286	80	-12	-0	-3	+9	+11	0.5
2040	32	MLB MLE	BAL	52%	489	430	89	14	2	8	49	144	7	1	1	207	298	305	603	98	290	29	10	280	76	-14	-0	-4	+9	+11	0.2
2041	33	MLB MLE	BAL	52%	473	415	85	13	2	8	48	142	7	1	1	205	298	304	601	99	286	30	10	274	72	-16	-0	-4	+8	+10	-0.2
2027	19	MLB CTX	BAL	34%	58	51	11	2	0	1	6	17	1	0	0	216	310	314	624	98	297	29	10	262	68	-2	+0	+0	+1	+1	0.0
2028	20	MLB CTX	BAL	48%	151	133	29	5	1	2	15	44	2	0	0	218	307	316	622	98	299	29	10	270	74	-5	+0	+0	+3	+3	0.1
2029	21	MLB CTX	BAL	54%	229	202	44	7	1	4	22	65	3	1	1	218	304	322	626	104	300	28	10	277	78	-6	-0	+0	+4	+5	0.3
2030	22	MLB CTX	BAL	57%	284	250	54	9	1	5	28	80	4	1	1	216	305	320	625	104	301	28	10	281	81	-6	-0	+0	+5	+6	0.5
2031	23	MLB CTX	BAL	58%	299	263	59	10	1	6	29	84	5	1	1	224	313	338	652	114	302	28	10	284	83	-6	-0	+0	+5	+6	0.6
2032	24	MLB CTX	BAL	57%	296	261	58	10	1	6	29	83	4	1	1	222	310	337	647	115	303	28	10	286	85	-5	-0	+0	+5	+6	0.6
2033	25	MLB CTX	BAL	57%	295	259	58	10	1	6	29	83	5	1	1	224	314	340	654	116	303	28	10	288	86	-5	-0	+0	+5	+6	0.7
2034	26	MLB CTX	BAL	57%	294	258	58	10	1	6	29	83	5	1	1	225	315	341	656	116	303	28	10	289	86	-5	-0	+0	+5	+6	0.7
2035	27	MLB CTX	BAL	55%	289	254	57	10	1	6	29	81	4	1	1	224	314	343	656	118	303	28	10	289	86	-5	-0	+0	+5	+6	0.7
2036	28	MLB CTX	BAL	55%	286	251	56	9	1	6	29	81	4	1	1	223	313	339	652	116	302	28	10	288	86	-5	-0	-0	+5	+6	0.6
2037	29	MLB CTX	BAL	53%	278	244	54	9	1	6	28	79	4	1	1	221	312	340	652	119	301	28	10	286	84	-5	-0	-1	+5	+6	0.5
2038	30	MLB CTX	BAL	53%	274	240	53	9	1	5	28	79	4	1	1	221	312	329	642	108	300	29	10	283	82	-6	-0	-1	+5	+6	0.4
2039	31	MLB CTX	BAL	52%	263	230	50	8	1	5	27	76	4	1	1	217	310	326	636	109	297	29	10	279	80	-6	-0	-1	+5	+6	0.2
2040	32	MLB CTX	BAL	52%	254	222	48	8	1	5	26	75	4	1	1	216	310	329	638	113	294	30	10	274	76	-7	-0	-2	+5	+6	0.1
2041	33	MLB CTX	BAL	52%	245	214	45	7	1	4	25	73	4	1	1	210	305	308	613	98	290	30	10	267	72	-8	-0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3795	3332	734	123	14	73	379	1083	57	13	13	220	311	331	642	111	302	29	10	282	80	-83	-3	-8	+68	+82	5.8
/ 162G	—	A+C		—	650	571	126	21	2	13	65	185	10	2	2	221	311	333	644	112	301	28	10	282	80	-14	-0	-1	+12	+14	1.0
Career	—	MLE		—	7122	6240	1344	221	28	128	706	2055	108	25	23	215	306	321	627	106	297	29	10	287	80	-156	-4	-15	+126	+152	10.5
/ 162G	—	MLE		—	650	570	123	20	3	12	64	188	10	2	2	216	306	325	630	109	297	29	10	287	80	-14	-0	-1	+12	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker 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
#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
#3Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#4Bobby 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
#5Cliff 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
#6Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.8	3,870	70	12	217	304	325	+69	+36	8.6	7.2
/162	664	12	2	+11.9	+6.2	1.5	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
Jose Flores (OGILVIE)	18	—	—	—	—	194/283/256	62	290	0	0	31%	10%	59	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Robert Perez Jr. 2018 · A	18	36→46	38→55	47→45	35	181/226/259	78	272	6	7	35%	4%	36	-3.4	194/255/302	108	307	11	5	38%	6%	57	-1.8	216/294/379	163	305	22	2	35%	7%	88	+0.3
✕Oscar Gonzalez 2016 · A	18	34→44	39→55	41→40	36	171/216/255	84	249	6	3	33%	5%	31	-3.7	201/235/309	108	318	11	5	39%	4%	51	-2.3	254/283/414	160	309	19	1	24%	3%	90	+0.6
✕Felix G. Santana 2013 · A	18	38	36→40	43→50	36	182/241/247	66	294	4	7	38%	6%	40	-3.1	206/265/279	73	285	4	8	28%	5%	55	-1.9	215/272/289	74	281	4	8	24%	4%	58	-0.5
✕Elehuris Montero 2017 · A	18	39→49	36→55	45→30	42	188/247/254	66	266	4	3	29%	6%	42	-2.9	213/266/327	114	284	10	3	27%	6%	67	-1.1	228/288/408	180	289	24	1	29%	6%	94	+0.7
✕Aristides Aquino 2012 · A	18	34→41	38→60	39→50	36	167/231/242	75	269	6	6	38%	6%	34	-3.5	174/222/275	101	253	9	7	34%	5%	38	-3.2	212/278/428	216	266	32	9	33%	7%	91	+0.4
✕Andrés Chaparro 2017 · A	18	40→49	36→55	47→40	43	188/249/258	70	271	2	5	30%	7%	44	-2.8	199/253/303	104	280	10	5	31%	7%	56	-1.9	235/306/419	184	277	23	3	24%	8%	101	+1.0
✕Michael A. Taylor 2011 · A	20	38→48	37→55	45→60	41	183/239/259	76	257	4	5	29%	6%	41	-3.0	195/242/303	108	291	8	17	34%	5%	52	-2.2	240/298/383	143	310	19	14	28%	7%	90	+0.5
✕Henry Pena 2009 · A	18	33	36→45	40→45	40	159/231/226	67	272	3	4	40%	8%	31	-3.7	199/274/299	100	328	7	6	37%	9%	63	-1.3	212/293/333	121	324	9	6	34%	10%	77	-0.1
✕Robinson Medrano 2014 · A	18	40	36→45	50→45	35	192/232/256	64	290	4	10	34%	4%	36	-3.3	205/261/286	81	281	5	7	27%	6%	55	-1.9	200/259/285	85	267	6	5	26%	6%	51	-0.8
✕Gabriel Guerrero 2012 · A	18	41→51	36→45	44→50	42	194/235/256	62	245	3	6	22%	5%	38	-3.2	234/265/343	109	305	11	7	26%	4%	70	-0.9	241/272/351	110	327	12	9	29%	4%	72	-0.5
✕Edgar Corcino 2012 · A	20	34→44	40→45	44→45	37	171/230/254	83	267	8	6	37%	6%	37	-3.3	197/252/293	96	298	9	6	35%	6%	53	-2.1	235/281/345	110	297	10	4	23%	5%	75	-0.3
✕Rainel Rosario 2008 · A	19	39→49	36→50	48→50	34	173/239/240	67	330	4	7	45%	7%	37	-3.3	191/263/300	109	299	8	9	36%	8%	60	-1.6	249/305/384	135	283	16	6	18%	7%	91	+0.5
●Miguel Andujar 2013 · A	18	39→49	36→55	40→45	39	190/234/254	64	264	3	4	28%	5%	37	-3.3	218/255/316	98	276	9	6	24%	4%	59	-1.6	281/314/455	175	309	20	3	16%	4%	113	+1.7
✕Jimmy Mojica 2018 · A	18	39	34→40	39→50	38	184/235/232	48	246	1	5	25%	4%	33	-3.6	208/257/276	68	274	3	8	24%	5%	51	-2.2	203/257/279	76	262	6	7	24%	5%	51	-0.7
✕Eduardo Urbina 2007 · A	19	38	35→40	42→50	39	184/237/242	57	259	4	7	29%	5%	36	-3.4	204/271/275	71	283	5	8	28%	7%	57	-1.8	202/277/268	66	276	5	9	26%	7%	58	-0.7
✕Óscar Mercado 2014 · A	19	38→48	37→50	52→60	40	182/239/254	73	261	3	13	30%	6%	40	-3.1	192/242/258	66	239	4	23	20%	5%	41	-3.0	235/299/388	153	272	15	22	19%	7%	91	+0.5
✕Nick Basto 2013 · A	19	40→48	35→45	45→30	36	193/240/249	56	280	3	3	31%	4%	38	-3.2	188/227/261	73	274	6	3	32%	4%	36	-3.3	203/259/307	104	279	11	0	30%	6%	58	-1.2
✕Stanley Martinez 2016 · A	19	40	36→45	48→50	44	189/254/259	70	267	2	9	28%	7%	47	-2.6	203/274/293	90	276	7	8	27%	7%	63	-1.4	202/276/292	90	272	8	7	27%	7%	62	-0.5
✕Anderson De La Rosa 2010 · A	18	35	34→45	44→45	41	170/241/221	51	255	2	8	32%	7%	34	-3.5	170/239/237	67	243	5	7	30%	7%	37	-3.3	151/223/224	73	208	6	4	29%	7%	27	-1.2
✕Joey Curletta 2013 · A	19	39→48	36→50	48→45	35	180/239/242	62	304	3	5	40%	6%	37	-3.3	213/263/301	88	293	7	5	28%	6%	59	-1.6	207/272/364	156	289	20	4	34%	8%	77	-0.3

Career Stats + Projections

Career Comps

Career Path Comps