Juan Flores — OGILVIE

Juan FloresC Rocket City Trash Pandas

Age 20 R/R 5'10" / 215 lbs AA K +5%HR +4% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION393 act + 10 ros · stats below = ROS only

showingROS

wRC+†49

AVG/OBP/SLG.100 / .100 / .100

PA10

HR0

K%30

BB%4

BABIP249

ISO107

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$3M ctrl surplus

Tools · ContractCON 32 / POW 43

Toolsscout grade

CONTACT32

scouting grade only

POWER43

scouting grade only

EYE40

scouting grade only

SPEED28

scouting grade only

DEFENSE64

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2029	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2031	Arb-1	$2M	+0.5	$1M	+$0.0M (cut)
2032	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2033	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$2M		$6M	+$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)
2023	17	ROK	DSL Angels	—	197	165	39	7	0	6	15	25	15	6	1	236	354	388	742	152	244	13	8	338	115	+3	+1	—	—	+4	0.9
2024	18	A+	Tri-City Dust Devils	—	210	188	43	11	0	2	12	58	3	1	2	229	286	319	605	90	311	28	6	267	67	-8	-1	—	—	+5	-0.4
2024	18	A	Inland Empire 66ers	—	208	186	52	16	1	3	12	40	7	3	1	280	346	425	771	145	340	19	6	341	117	+4	+0	—	—	+5	0.9
2025	19	A+	Tri-City Dust Devils	—	342	305	63	11	0	10	18	94	15	0	1	207	284	341	625	134	262	27	5	282	77	-9	-0	—	—	+7	-0.2
2025	19	INTL	Salt River Rafters	—	77	66	18	5	1	1	5	20	4	0	0	273	360	424	784	152	362	26	6	344	119	+2	+0	—	—	+2	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Angels	—	197	171	32	5	0	6	9	36	15	6	1	187	287	322	609	135	191	18	5	256	59	-10	+1	—	—	+4	-0.5
2024	18	A+ MLE	Tri-City Dust Devils	—	210	193	35	8	0	2	7	80	3	1	2	181	222	254	476	73	272	38	3	206	26	-19	-1	—	—	+5	-1.5
2024	18	A MLE	Inland Empire 66ers	—	208	191	44	12	1	3	7	56	7	3	1	230	283	351	634	120	301	27	3	273	71	-7	+0	—	—	+5	-0.3
2025	19	A+ MLE	Tri-City Dust Devils	—	342	311	47	8	0	7	12	129	15	0	1	151	219	244	463	93	213	38	4	199	21	-32	-0	—	—	+7	-2.6
2023	17	ROK MLE	DSL Angels	—	197	171	32	5	0	6	9	36	15	6	1	187	287	322	609	135	200	18	5	256	59	—	—	—	—	—	—
2023	17	ROK RAW	DSL Angels	—	197	165	39	7	0	6	15	25	15	6	1	236	354	388	742	152	244	13	8	338	59	—	—	—	—	—	—
2024	18	A+ MLE	2 teams	—	418	383	80	20	1	5	15	136	10	4	3	209	257	305	563	97	304	33	4	239	48	—	—	—	—	—	—
2024	18	A+ RAW	2 teams	—	418	374	95	27	1	5	24	98	10	4	3	254	316	372	688	118	326	23	6	304	48	—	—	—	—	—	—
2025	19	A+ MLE	2 teams	—	419	380	57	9	0	9	14	158	19	0	1	150	218	245	463	95	222	38	3	199	21	—	—	—	—	—	—
2025	19	A+ RAW	2 teams	—	419	371	81	16	1	11	23	114	19	0	1	218	298	356	654	137	281	27	5	294	21	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	197	171	32	5	0	6	9	36	15	6	1	187	287	322	609	135	191	18	5	256	59	—	—	—	—	—	—
2024	18	A+ MLE	2 teams	—	418	390	80	20	1	5	15	136	10	4	3	205	257	300	557	95	286	33	4	239	48	—	—	—	—	—	—
2025	19	A+ MLE	2 teams	—	419	383	57	9	0	9	14	158	19	0	1	149	218	243	461	94	213	38	3	199	21	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Angels	—	197	171	32	5	0	6	9	36	15	6	1	187	287	322	609	135	191	18	5	256	59	—	—	—	—	—	—
2024	18	A+ MLE	2 teams	—	418	390	80	20	1	5	15	136	10	4	3	205	257	300	557	95	286	33	4	239	48	—	—	—	—	—	—
2025	19	A+ MLE	2 teams	—	419	383	57	9	0	9	14	158	19	0	1	149	218	243	461	94	213	38	3	199	21	—	—	—	—	—	—
YTD	20	AA MLE	LAA	—	393	362	66	14	0	12	13	133	10	0	0	182	231	320	552	138	243	34	3	237	46	-25	+0	+0	+7	+9	-1.0
▸ 2026 season
YTD	20	A+ RAW	LAA	—	195	171	47	12	0	11	15	42	4	0	0	275	347	538	885	263	298	22	8	377	46	—	—	—	—	—	—
YTD	20	AA RAW	LAA	—	198	184	35	7	0	5	5	61	6	0	0	190	236	310	546	120	250	31	3	243	46	—	—	—	—	—	—
ROS	20	AA MLE	LAA	2%	10	10	1	0	0	0	0	3	0	0	0	100	100	100	200		250	30	0	241	49	-1	+0	+0	+0	+0	-0.0
TOT	20	AA MLE	LAA	—	403	372	67	14	0	12	13	136	10	0	0	180	228	315	542	134	240	34	3	237	46	-26	+0	+0	+7	+9	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAA	35%	454	422	82	17	1	13	19	140	10	2	1	194	246	332	578	137	254	31	4	257	60	-21	+0	+1	+8	+10	-0.2
2028	22	MLB MLE	LAA	49%	490	453	92	19	1	15	23	145	11	2	1	203	259	349	608	146	258	30	5	269	69	-18	+0	+1	+9	+11	0.2
2029	23	MLB MLE	LAA	54%	520	478	99	20	1	17	26	149	11	2	1	207	264	360	624	153	260	29	5	278	74	-16	+0	+1	+9	+11	0.6
2030	24	MLB MLE	LAA	55%	520	477	100	20	1	17	27	147	11	3	1	210	268	363	631	153	262	28	5	283	77	-14	+0	+1	+9	+11	0.8
2031	25	MLB MLE	LAA	56%	520	476	101	20	1	18	28	146	11	3	1	212	272	372	644	160	262	28	5	285	79	-13	+0	+1	+9	+11	0.9
2032	26	MLB MLE	LAA	56%	520	476	101	20	1	18	28	146	11	3	2	212	272	372	644	160	262	28	5	286	80	-12	-0	+1	+9	+11	0.9
2033	27	MLB MLE	LAA	55%	520	475	100	20	1	18	29	146	11	3	2	211	272	371	642	160	261	28	6	286	80	-12	-0	+1	+9	+11	0.9
2034	28	MLB MLE	LAA	55%	520	475	100	20	1	18	29	147	11	3	2	211	272	371	642	160	261	28	6	285	79	-13	-0	+1	+9	+11	0.8
2035	29	MLB MLE	LAA	53%	520	475	100	20	1	18	29	148	11	3	2	211	272	371	642	160	260	28	6	283	78	-14	-0	-0	+9	+11	0.7
2036	30	MLB MLE	LAA	53%	520	474	99	20	1	17	30	149	11	3	2	209	272	363	635	154	259	29	6	281	76	-15	-0	-1	+9	+11	0.5
2037	31	MLB MLE	LAA	52%	504	460	94	19	0	17	29	146	10	3	1	204	267	357	623	152	256	29	6	277	73	-16	+0	-2	+9	+11	0.3
2038	32	MLB MLE	LAA	56%	489	448	89	18	0	15	28	144	10	2	1	199	261	339	601	141	253	29	6	271	70	-18	+0	-2	+9	+11	-0.1
2027	21	MLB CTX	LAA	35%	160	148	29	6	0	5	7	49	4	1	0	196	252	338	589	142	253	31	4	241	60	-8	+0	+0	+3	+3	-0.1
2028	22	MLB CTX	LAA	49%	239	221	44	9	0	7	11	71	5	1	1	199	253	335	588	136	257	30	5	254	69	-9	-0	+1	+4	+5	0.1
2029	23	MLB CTX	LAA	54%	283	261	54	11	1	9	14	81	6	1	1	207	263	360	623	153	259	29	5	263	74	-9	-0	+1	+5	+6	0.3
2030	24	MLB CTX	LAA	55%	289	266	56	11	1	10	15	82	6	1	1	211	268	372	640	162	261	28	5	268	77	-8	-0	+1	+5	+6	0.4
2031	25	MLB CTX	LAA	56%	291	267	57	11	1	10	16	82	6	2	1	213	273	375	648	161	261	28	5	270	79	-7	+0	+1	+5	+6	0.5
2032	26	MLB CTX	LAA	56%	293	269	57	11	1	10	16	82	6	2	1	212	271	372	643	160	261	28	5	271	80	-7	+0	+1	+5	+6	0.5
2033	27	MLB CTX	LAA	55%	288	264	55	11	0	10	16	81	6	2	1	208	269	364	633	155	261	28	6	271	80	-7	+0	+1	+5	+6	0.5
2034	28	MLB CTX	LAA	55%	285	261	54	11	0	10	16	81	6	2	1	207	269	364	633	157	260	28	6	271	79	-7	+0	+0	+5	+6	0.5
2035	29	MLB CTX	LAA	53%	278	254	54	11	0	10	16	79	6	2	1	213	275	374	649	161	259	28	6	269	78	-7	+0	-0	+5	+6	0.4
2036	30	MLB CTX	LAA	53%	274	250	51	10	0	9	16	79	6	1	1	204	268	352	620	148	258	29	6	266	76	-8	-0	-0	+5	+6	0.2
2037	31	MLB CTX	LAA	52%	263	241	49	10	0	9	15	76	5	1	1	203	264	357	621	154	255	29	6	262	73	-8	-0	-1	+5	+6	0.1
2038	32	MLB CTX	LAA	56%	275	251	50	10	0	9	16	81	6	1	1	199	264	347	610	147	252	29	6	256	70	-10	-0	-1	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3218	2953	610	122	4	108	174	924	68	17	11	207	267	360	627	154	260	29	5	265	70	-95	-1	+2	+57	+70	3.5
/ 162G	—	A+C		—	650	596	124	25	1	22	35	187	14	3	2	208	268	364	632	156	262	29	5	265	70	-19	-0	+0	+12	+14	0.7
Career	—	MLE		—	7141	6533	1327	267	11	221	363	2086	173	42	22	203	264	349	612	146	259	29	5	271	70	-183	-0	+5	+109	+132	6.3
/ 162G	—	MLE		—	650	595	120	24	1	20	33	190	16	4	2	202	263	346	609	145	257	29	5	271	70	-20	-0	+0	+12	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Miguel Olivolast yr '13 career totals — 11 seasons, 3,947 PA	5.9	3,947	144	53	241	275	417	+70	+53	19.1	18.9
/162	664	24	9	+11.9	+8.8	3.2	pk7: 19
#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
#4Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.9	3,222	107	16	208	265	362	+58	+34	5.0	4.5
/162	664	22	3	+11.9	+6.9	1.0	pk7: 4
#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

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
Juan Flores (OGILVIE)	20	20→32	30→43	30→28	40	183/231/301	119	250	8	1	33%	3%	49	-1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Christopher Tamarez 2014 · A	20	42	38→45	36→40	41	203/248/281	78	264	6	3	25%	5%	49	-2.4	202/244/257	55	288	3	5	29%	5%	41	-3.0	184/216/191	7	263	0	3	29%	4%	11	-1.7
✕Deivy Grullón 2017 · A	21	42	42→50	38→30	37	209/251/310	101	292	9	2	31%	5%	57	-1.8	223/261/356	133	299	16	2	30%	5%	72	-0.7	211/258/366	155	285	22	1	34%	6%	71	-0.4
✕Cristian Santana 2017 · A	20	39→49	42→50	39→30	35	198/229/297	99	268	10	4	30%	4%	45	-2.7	232/255/357	125	317	16	2	31%	3%	70	-0.9	247/274/340	92	327	9	0	27%	3%	69	-0.7
✕Matt Kennelly 2010 · A	21	41	37→40	34→40	37	199/239/266	67	282	5	3	30%	5%	42	-2.9	214/265/296	82	279	7	3	24%	6%	59	-1.7	230/284/288	59	289	2	2	20%	6%	61	-0.7
✕Julian Leon 2016 · A	20	38	43→45	41→30	36	192/248/297	105	289	11	2	36%	6%	54	-2.0	190/254/305	115	306	13	2	40%	6%	58	-1.7	177/257/304	127	278	16	0	40%	8%	58	-0.7
✕Darwin Rivera 2012 · A	20	40	40	40→30	35	195/235/283	88	285	8	3	34%	4%	45	-2.7	202/248/286	84	285	7	3	30%	5%	51	-2.3	192/240/269	77	263	7	0	28%	5%	42	-1.0
✕Anthony Rodriguez 2016 · A	20	37	38→40	39→45	37	182/244/264	82	270	6	3	33%	5%	45	-2.7	171/254/244	73	261	5	5	34%	8%	45	-2.7	138/240/198	60	210	5	4	33%	9%	28	-1.5
✕Cameron Garfield 2011 · A	20	41	37→45	38→45	36	198/232/268	70	269	5	4	28%	4%	39	-3.1	214/255/324	110	283	11	4	27%	4%	62	-1.4	205/243/310	104	272	9	5	28%	4%	51	-1.3
✕Cam Gallagher 2013 · A	20	40	40→45	40→30	44	197/241/287	90	235	8	4	20%	5%	48	-2.5	200/252/289	89	230	7	2	16%	6%	53	-2.1	218/279/324	106	270	9	0	22%	7%	70	-0.2
✕Rudy van Heydoorn 2010 · A	21	33	41→45	40→50	41	166/249/256	90	260	9	8	37%	8%	46	-2.6	199/274/309	110	312	10	5	36%	8%	67	-1.1	204/303/338	134	292	14	2	32%	11%	85	+0.1
✕Adinso Reyes 2022 · A	20	36	43→45	42→40	28	176/230/282	106	316	12	4	46%	4%	44	-2.8	188/240/291	103	357	11	4	47%	6%	49	-2.4	175/225/275	100	323	13	2	47%	6%	38	-1.0
✕Raul Juarez 2018 · A	20	44	38→45	42→40	40	212/269/287	76	277	6	6	25%	5%	59	-1.6	203/254/282	79	289	6	5	30%	5%	52	-2.2	147/189/214	67	208	8	0	33%	3%	9	-1.0
✕Omar Estévez 2018 · A	20	41	39→45	40	37	202/239/284	82	277	6	3	29%	4%	46	-2.6	212/256/320	108	298	10	3	31%	5%	61	-1.5	192/245/281	89	266	9	1	30%	6%	46	-1.4
✕Elias Díaz 2011 · A	20	39→49	39→50	40→45	42	190/245/274	84	248	7	4	26%	6%	47	-2.6	190/239/266	76	246	4	5	23%	5%	42	-2.9	253/312/396	144	279	17	0	16%	7%	98	+0.6
✕Randy César 2015 · A	20	40→50	36→40	38→40	40	194/241/259	65	264	4	3	28%	5%	41	-3.0	199/244/277	78	300	7	3	34%	5%	47	-2.6	234/279/323	89	343	8	2	32%	5%	67	-0.7
✕Jonathan Meyer 2012 · A	21	42→45	40	35→40	40	205/257/294	89	289	9	3	31%	6%	56	-1.9	211/252/298	87	278	9	3	26%	5%	54	-2.0	193/236/268	75	248	8	2	25%	4%	40	-2.0
✕Juan Fernandez 2019 · A	20	42→52	39→40	39→50	43	203/259/285	83	260	6	4	24%	6%	55	-2.0	207/264/299	92	269	7	5	25%	6%	59	-1.6	237/297/317	80	293	7	9	21%	6%	73	-0.4
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Lenyn Sosa 2022 · AA	22	43→51	42→50	39→40	34	213/240/315	102	284	10	4	29%	3%	53	-2.1	235/269/364	129	289	16	4	24%	4%	76	-0.4	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕Sandro Fabian 2019 · A	21	39→46	43→55	41→45	35	201/235/310	109	265	12	3	29%	3%	51	-2.2	211/258/337	126	272	15	5	28%	5%	66	-1.1	223/272/387	164	251	20	4	20%	5%	81	-0.1

Career Stats + Projections

Career Comps

Career Path Comps