Gabriel Flores — OGILVIE

Gabriel FloresC FCL Phillies

Age 18 R/R 5'9" / 170 lbs ROK HR +14% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION65 act + 9 ros · stats below = ROS only

showingROS

wRC+†56

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP271

ISO87

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$22M 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	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$7M	+$3M

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 Phillies White	—	128	105	19	3	1	1	11	24	9	7	5	181	312	257	569	76	217	19	9	270	69	-5	-1	—	—	+3	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Phillies White	—	128	109	16	2	1	1	7	36	9	7	5	147	256	211	467	64	178	28	5	199	21	-12	-1	—	—	+3	-1.0
2025	17	ROK MLE	DSL Phillies White	—	128	109	16	2	1	1	7	36	9	7	5	147	256	211	467	64	200	28	5	199	21	—	—	—	—	—	—
2025	17	ROK RAW	DSL Phillies White	—	128	105	19	3	1	1	11	24	9	7	5	181	312	257	569	76	217	19	9	270	21	—	—	—	—	—	—
2025	17	ROK MLE	DSL Phillies White	—	128	111	16	2	1	1	7	36	9	7	5	144	256	207	463	63	178	28	5	199	21	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Phillies White	—	128	111	16	2	1	1	7	36	9	7	5	144	256	207	463	63	178	28	5	199	21	—	—	—	—	—	—
YTD	18	ROK MLE	PHI	—	65	57	5	1	0	1	6	25	2	0	0	88	200	158	358	70	129	38	9	165	-2	-8	+0	+0	+1	+1	-0.5
▸ 2026 season
YTD	18	ROK RAW	PHI	—	65	54	7	2	0	1	9	17	2	0	0	130	277	222	499	93	167	26	14	246	-2	—	—	—	—	—	—
ROS	18	ROK MLE	PHI	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		269	33	11	251	56	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	PHI	—	74	65	6	1	0	1	7	28	2	0	0	92	203	154	357	62	139	38	9	175	5	-8	+0	+0	+1	+2	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	PHI	34%	198	178	35	6	1	3	14	56	4	2	1	197	270	292	563	96	275	28	7	264	65	-8	+0	+0	+4	+4	-0.1
2028	20	MLB MLE	PHI	48%	336	301	63	11	2	6	25	93	7	4	1	209	285	319	604	110	278	28	7	273	71	-12	+0	+0	+6	+7	0.2
2029	21	MLB MLE	PHI	54%	440	395	84	15	3	8	33	119	9	5	1	213	288	327	615	114	279	27	8	280	76	-13	+1	+0	+8	+10	0.5
2030	22	MLB MLE	PHI	57%	514	459	99	18	3	10	39	138	11	6	2	216	293	333	626	118	281	27	8	284	78	-13	+0	+0	+9	+11	0.8
2031	23	MLB MLE	PHI	58%	520	464	101	18	3	11	40	139	11	6	2	218	295	341	636	123	282	27	8	287	80	-12	+0	+0	+9	+11	0.9
2032	24	MLB MLE	PHI	57%	520	464	101	18	3	11	40	139	11	6	2	218	295	341	636	123	283	27	8	289	82	-11	+0	+0	+9	+11	1.0
2033	25	MLB MLE	PHI	57%	520	464	102	18	3	12	40	139	11	6	2	220	297	349	646	129	283	27	8	290	83	-11	+0	+0	+9	+11	1.0
2034	26	MLB MLE	PHI	57%	520	464	102	18	3	12	40	139	11	6	2	220	297	349	646	129	283	27	8	291	83	-10	+0	+0	+9	+11	1.1
2035	27	MLB MLE	PHI	55%	520	463	101	18	3	12	41	139	11	6	2	218	297	348	645	130	282	27	8	291	83	-10	+0	+0	+9	+11	1.1
2036	28	MLB MLE	PHI	55%	520	463	101	18	3	12	41	140	11	6	2	218	297	348	645	130	282	27	8	290	83	-11	+0	-1	+9	+11	1.0
2037	29	MLB MLE	PHI	53%	520	463	101	18	3	12	41	141	11	6	2	218	297	348	645	130	281	27	8	289	81	-12	+0	-1	+9	+11	0.8
2038	30	MLB MLE	PHI	53%	520	463	99	17	3	11	41	142	11	5	1	214	293	335	628	121	279	27	8	286	80	-13	+1	-2	+9	+11	0.6
2039	31	MLB MLE	PHI	52%	504	448	95	16	3	11	40	139	11	4	1	212	293	335	627	123	277	28	8	282	77	-14	+0	-3	+9	+11	0.4
2040	32	MLB MLE	PHI	52%	489	437	90	15	3	10	39	137	10	3	1	206	286	323	609	117	274	28	8	276	73	-16	+0	-4	+9	+11	0.0
2027	19	MLB CTX	PHI	34%	68	62	12	2	0	1	5	19	1	1	0	194	265	274	539	81	277	28	7	252	65	-3	+0	+0	+1	+1	0.0
2028	20	MLB CTX	PHI	48%	163	147	31	6	1	3	12	45	3	2	1	211	284	327	610	116	280	28	7	261	71	-6	+0	+0	+3	+4	0.1
2029	21	MLB CTX	PHI	54%	239	214	45	8	1	5	18	65	5	3	1	210	287	327	614	117	282	27	8	268	76	-7	+0	+0	+4	+5	0.3
2030	22	MLB CTX	PHI	57%	291	261	56	10	2	6	22	78	6	4	1	215	291	337	628	123	283	27	8	273	78	-7	+0	+0	+5	+6	0.5
2031	23	MLB CTX	PHI	58%	299	268	60	11	2	7	23	80	6	4	1	224	300	358	658	134	284	27	8	275	80	-7	+0	+0	+5	+6	0.5
2032	24	MLB CTX	PHI	57%	296	265	58	10	2	7	23	79	6	4	1	219	296	351	647	132	285	27	8	278	82	-6	+0	+0	+5	+6	0.6
2033	25	MLB CTX	PHI	57%	295	264	58	10	2	7	23	79	6	4	1	220	297	352	649	133	285	27	8	279	83	-6	+0	+0	+5	+6	0.6
2034	26	MLB CTX	PHI	57%	294	263	58	10	2	7	23	78	6	4	1	221	298	354	652	133	285	27	8	280	83	-6	+0	+0	+5	+6	0.6
2035	27	MLB CTX	PHI	55%	289	258	57	10	2	7	23	77	6	4	1	221	300	357	656	136	285	27	8	280	83	-6	+0	+0	+5	+6	0.6
2036	28	MLB CTX	PHI	55%	286	255	57	10	2	7	23	77	6	3	1	224	303	361	664	137	284	27	8	279	83	-6	+0	-0	+5	+6	0.5
2037	29	MLB CTX	PHI	53%	278	248	55	10	2	7	22	75	6	3	1	222	301	363	664	141	283	27	8	277	81	-6	+0	-1	+5	+6	0.4
2038	30	MLB CTX	PHI	53%	274	244	53	9	2	6	22	75	6	3	1	217	298	344	642	127	282	27	8	274	80	-7	+0	-1	+5	+6	0.3
2039	31	MLB CTX	PHI	52%	263	234	50	9	1	6	21	73	6	2	1	214	295	338	633	124	280	28	8	270	77	-7	+0	-1	+5	+6	0.2
2040	32	MLB CTX	PHI	52%	254	227	47	8	1	5	20	71	5	2	0	207	286	317	603	110	276	28	8	265	73	-8	+0	-2	+5	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3589	3210	697	123	22	81	280	971	74	43	12	217	295	345	640	128	284	27	8	274	78	-88	+4	-6	+64	+78	5.3
/ 162G	—	A+C		—	650	581	126	22	4	15	51	176	13	8	2	217	294	346	640	129	283	27	8	274	78	-16	+1	-1	+12	+14	1.0
Career	—	MLE		—	6778	6043	1291	226	40	142	522	1839	149	78	27	214	292	335	627	121	280	27	8	283	78	-166	+5	-10	+119	+144	9.4
/ 162G	—	MLE		—	650	580	125	22	4	14	50	176	14	7	3	216	293	340	633	124	282	27	8	283	78	-16	+1	-1	+12	+14	0.9

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
#2Rod 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
#3John 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
#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
#5Danny 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
#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 8 projected seasons	5.6	3,695	77	42	216	290	338	+66	+32	8.0	6.7
/162	664	14	8	+11.9	+5.8	1.4	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
Gabriel Flores (OGILVIE)	18	—	—	—	—	191/266/275	84	269	1	1	29%	7%	56	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕Ronaldo Hernández 2016 · A	18	44	37→50	50→45	43	208/271/281	73	270	4	6	23%	6%	58	-1.7	242/287/359	117	276	12	5	17%	5%	82	-0.0	243/286/377	134	275	16	5	18%	5%	84	+0.1
✕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
✕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
✕Rodolfo Castro 2017 · A	18	43→41	38→55	48→50	43	202/265/291	89	290	5	5	30%	7%	58	-1.7	196/241/316	120	278	11	5	32%	5%	55	-2.0	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕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
✕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
✕Carlos Narváez 2018 · A	19	46→45	36→45	48→45	46	219/274/285	66	269	4	3	20%	6%	59	-1.6	217/290/287	70	304	5	5	27%	9%	67	-1.1	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕René Pinto 2015 · A	18	43	37→55	51→40	41	204/249/275	71	265	4	7	24%	5%	47	-2.5	217/260/333	116	271	10	5	23%	5%	65	-1.2	232/273/330	99	296	7	1	23%	5%	69	-0.4
●Óscar Hernández 2011 · A	18	40	44→50	48→40	43	200/263/313	114	250	11	5	25%	6%	63	-1.3	236/308/404	168	278	21	4	23%	7%	101	+1.4	221/281/376	155	266	19	2	24%	5%	85	+0.1
✕Adrian De Leon 2022 · A	18	43	38→40	49→45	41	202/274/282	81	298	6	6	32%	7%	60	-1.6	205/294/284	79	319	6	6	34%	9%	69	-0.9	158/267/223	66	272	6	3	39%	10%	45	-1.1
✕Hidekel Gonzalez 2015 · A	18	44	37→45	47→45	37	205/260/286	81	312	4	7	34%	5%	55	-2.0	227/275/314	87	287	6	8	22%	5%	67	-1.1	241/291/328	87	291	6	8	19%	4%	75	-0.2
✕Ramon Mendoza 2019 · A	18	46→49	41→45	48→45	46	220/292/328	108	287	7	4	25%	7%	77	-0.3	209/280/296	87	296	5	4	29%	7%	65	-1.2	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Lenyn Sosa 2018 · A	18	45→51	38→50	43→40	44	215/260/291	76	266	5	6	21%	6%	55	-1.9	209/239/295	86	263	6	4	23%	3%	48	-2.5	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕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
✕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
✕Juan Uriarte 2017 · A	19	41	38→45	46→30	41	199/261/275	76	260	5	5	25%	5%	53	-2.1	211/261/303	92	278	8	4	26%	4%	59	-1.6	185/229/266	80	254	7	0	29%	3%	36	-1.0

Career Stats + Projections

Career Comps

Career Path Comps