Jose Perez — OGILVIE

Jose PerezSS Bowling Green Hot Rods

Age 22 S/R 5'9" / 170 lbs A+ HR +6%H +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION78 act + 11 ros · stats below = ROS only

showingROS

wRC+†56

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP256

ISO72

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 30 / POW 20

Toolsscout grade

CONTACT30

scouting grade only

POWER20

scouting grade only

EYE60

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	+0.2	$0.6M	+$0.0M
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	$1M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-2	$1M	—	—	—
2035	Arb-3	$1.0M	—	—	—
Totals		$3M		$2M	+$0.3M

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.

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)
2021	17	ROK	DSL Rays 2	—	123	102	21	4	2	1	18	27	2	2	5	206	336	314	650	108	267	22	15	302	91	-1	-2	—	—	+3	-0.0
2022	18	ROK	DSL Tampa Bay	—	110	86	18	0	1	0	19	12	2	5	4	209	364	233	597	23	237	11	17	288	81	-2	-1	—	—	+2	-0.1
2023	19	ROK	DSL Rays	—	171	119	33	5	7	3	42	32	5	3	4	277	482	513	995	235	345	19	25	428	176	+15	-1	—	—	+4	1.9
2024	20	A	Charleston RiverDogs	—	85	65	15	2	0	0	18	14	1	2	1	231	405	262	666	31	294	16	21	325	106	+1	+0	—	—	+2	0.3
2024	20	ROK	FCL Rays	—	138	105	31	7	3	2	29	22	4	3	0	295	464	476	940	181	358	16	21	423	172	+12	+1	—	—	+3	1.6
2025	21	A+	Bowling Green Hot Rods	—	15	11	2	0	0	0	2	5	1	0	1	182	357	182	539		286	33	13	263	64	-1	-0	—	—	+0	-0.1
2025	21	A	Charleston RiverDogs	—	208	166	29	4	1	1	35	30	5	2	0	175	335	229	564	54	207	14	17	278	74	-6	+0	—	—	+5	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Rays 2	—	123	109	17	3	2	1	11	38	2	2	5	156	246	248	494	92	214	31	9	216	32	-10	-2	—	—	+3	-0.9
2022	18	ROK MLE	DSL Tampa Bay	—	110	93	17	0	1	0	12	18	2	5	4	183	290	204	494	22	202	16	11	225	38	-8	-1	—	—	+2	-0.6
2023	19	ROK MLE	DSL Rays	—	171	134	27	4	5	3	27	47	5	3	4	201	355	373	729	172	252	27	16	310	96	-1	-1	—	—	+4	0.2
2024	20	A MLE	Charleston RiverDogs	—	85	72	14	2	0	0	11	20	1	2	1	194	310	222	532	28	268	24	13	251	56	-4	+0	—	—	+2	-0.3
2024	20	ROK MLE	FCL Rays	—	138	116	26	6	2	2	18	32	4	3	0	224	348	362	710	138	287	23	13	304	92	-1	+1	—	—	+3	0.2
2025	21	A+ MLE	Bowling Green Hot Rods	—	15	12	2	0	0	0	1	7	1	0	1	167	286	167	452		263	47	7	228	40	-1	-0	—	—	+0	-0.1
2025	21	A MLE	Charleston RiverDogs	—	208	179	29	4	1	1	22	42	5	2	0	162	272	212	484	50	201	20	11	224	38	-15	+0	—	—	+5	-1.1
2021	17	ROK MLE	DSL Rays 2	—	123	109	17	3	2	1	11	38	2	2	5	156	246	248	494	92	225	31	9	216	32	—	—	—	—	—	—
2021	17	ROK RAW	DSL Rays 2	—	123	102	21	4	2	1	18	27	2	2	5	206	336	314	650	108	267	22	15	302	32	—	—	—	—	—	—
2022	18	ROK MLE	DSL Tampa Bay	—	110	93	17	0	1	0	12	18	2	5	4	183	290	204	494	22	221	16	11	225	38	—	—	—	—	—	—
2022	18	ROK RAW	DSL Tampa Bay	—	110	86	18	0	1	0	19	12	2	5	4	209	364	233	597	23	237	11	17	288	38	—	—	—	—	—	—
2023	19	ROK MLE	DSL Rays	—	171	134	27	4	5	3	27	47	5	3	4	201	355	373	729	172	276	27	16	310	96	—	—	—	—	—	—
2023	19	ROK RAW	DSL Rays	—	171	119	33	5	7	3	42	32	5	3	4	277	482	513	995	235	345	19	25	428	96	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	223	189	41	8	2	2	28	52	5	5	1	217	333	312	646	95	289	23	13	284	78	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	223	170	46	9	3	2	47	36	5	5	1	271	441	394	836	124	333	16	21	386	78	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	223	190	31	4	1	1	24	49	6	2	1	163	277	211	488	47	213	22	11	224	38	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	223	177	31	4	1	1	37	35	6	2	1	175	336	226	562	51	211	16	17	277	38	—	—	—	—	—	—
2021	17	ROK MLE	DSL Rays 2	—	123	109	17	3	2	1	11	38	2	2	5	156	246	248	494	92	214	31	9	216	32	—	—	—	—	—	—
2022	18	ROK MLE	DSL Tampa Bay	—	110	95	17	0	1	0	12	18	2	5	4	179	290	200	490	21	202	16	11	225	38	—	—	—	—	—	—
2023	19	ROK MLE	DSL Rays	—	171	137	27	4	5	3	27	47	5	3	4	197	355	365	720	168	252	27	16	310	96	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	223	188	41	8	2	2	28	52	5	5	1	218	333	314	647	96	280	23	13	284	78	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	223	191	31	4	1	1	24	49	6	2	1	162	277	209	487	47	205	22	11	224	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Rays	—	171	137	27	4	5	3	27	47	5	3	4	197	355	365	720	168	252	27	16	310	96	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	223	188	41	8	2	2	28	52	5	5	1	218	333	314	647	96	280	23	13	284	78	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	223	191	31	4	1	1	24	49	6	2	1	162	277	209	487	47	205	22	11	224	38	—	—	—	—	—	—
YTD	22	A+ MLE	TB	—	78	71	6	1	0	0	7	31	0	0	0	85	167	99	265	14	150	40	9	144	-16	-11	+0	+0	+1	+2	-0.8
▸ 2026 season
YTD	22	A+ RAW	TB	—	78	67	8	2	0	0	11	23	0	0	0	119	244	149	393	30	182	29	14	201	-16	—	—	—	—	—	—
ROS	22	A+ MLE	TB	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		249	27	9	251	56	-1	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	TB	—	89	81	7	1	0	0	8	34	0	0	0	86	169	99	267	12	149	38	9	157	-7	-11	+0	+0	+1	+2	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TB	35%	269	236	47	10	1	3	28	63	3	3	1	199	292	288	580	89	257	23	10	269	68	-10	+0	+0	+3	+6	-0.1
2028	24	MLB MLE	TB	46%	359	313	65	13	2	5	38	83	5	5	1	208	303	310	613	102	261	23	11	279	75	-11	+1	+0	+4	+8	0.2
2029	25	MLB MLE	TB	52%	410	359	76	15	2	7	43	95	5	5	2	212	305	323	628	111	262	23	10	285	79	-10	+0	+0	+4	+9	0.3
2030	26	MLB MLE	TB	54%	442	387	82	16	2	8	46	102	6	6	2	212	305	326	631	114	263	23	10	287	81	-10	+0	+0	+5	+10	0.5
2031	27	MLB MLE	TB	54%	455	398	84	17	2	8	48	105	6	6	2	211	305	324	629	113	263	23	11	288	81	-10	+0	+0	+5	+10	0.5
2032	28	MLB MLE	TB	54%	459	401	84	17	2	8	49	107	6	6	2	209	305	322	627	112	263	23	11	287	80	-11	+0	-1	+5	+10	0.4
2033	29	MLB MLE	TB	53%	455	397	83	16	2	8	49	107	6	6	2	209	305	320	625	111	262	24	11	285	79	-11	+0	-1	+5	+10	0.2
2034	30	MLB MLE	TB	52%	448	391	81	16	2	7	48	106	6	5	2	207	303	312	615	105	261	24	11	282	77	-12	+0	-2	+5	+10	0.1
2035	31	MLB MLE	TB	56%	436	381	78	15	2	7	47	105	5	5	1	205	300	310	610	105	259	24	11	279	75	-13	+1	-3	+5	+9	-0.1
2027	23	MLB CTX	TB	35%	93	82	16	3	0	1	10	22	1	1	0	195	290	268	559	73	264	24	11	266	68	-4	+0	+0	+1	+2	-0.0
2028	24	MLB CTX	TB	46%	166	146	30	6	1	2	17	39	2	2	1	205	297	301	598	96	268	23	10	276	75	-5	+0	+0	+2	+4	0.0
2029	25	MLB CTX	TB	52%	212	185	40	8	1	4	22	49	3	3	1	216	310	335	645	119	270	23	10	282	79	-5	+0	+0	+2	+5	0.2
2030	26	MLB CTX	TB	54%	240	210	45	9	1	4	25	55	3	3	1	214	307	324	631	110	271	23	10	284	81	-6	+0	+0	+3	+5	0.2
2031	27	MLB CTX	TB	54%	247	216	48	10	1	5	26	57	3	3	1	222	314	347	662	125	271	23	11	285	81	-6	+0	+0	+3	+5	0.3
2032	28	MLB CTX	TB	54%	249	217	47	10	1	4	27	58	3	3	1	217	312	327	639	111	271	23	11	284	80	-6	+0	-0	+3	+5	0.2
2033	29	MLB CTX	TB	53%	242	211	45	9	1	4	26	57	3	3	1	213	308	322	631	109	270	24	11	282	79	-6	+0	-1	+3	+5	0.1
2034	30	MLB CTX	TB	52%	235	205	44	9	1	4	25	56	3	3	1	215	309	327	636	112	269	24	11	280	77	-6	+0	-1	+3	+5	0.0
2035	31	MLB CTX	TB	56%	246	215	45	9	1	4	26	59	3	3	1	209	303	316	620	107	267	24	11	276	75	-7	+0	-2	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1930	1687	360	73	8	32	204	452	24	24	8	213	307	323	630	110	271	23	11	280	74	-51	+2	-4	+21	+42	1.0
/ 162G	—	A+C		—	650	568	122	25	3	11	69	152	8	8	3	215	309	327	636	113	272	23	11	280	74	-17	+1	-1	+7	+14	0.3
Career	—	MLE		—	4594	3988	814	154	28	68	499	1080	68	64	30	204	303	308	611	104	260	24	11	278	74	-100	+3	-7	+40	+81	1.8
/ 162G	—	MLE		—	650	564	116	22	4	10	71	153	10	9	4	206	305	312	617	106	262	24	11	278	74	-17	+1	-1	+7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.9	1,930	32	24	209	300	316	+21	+15	2.5	2.4
/162	664	11	8	+7.1	+5.2	0.9	pk7: 2
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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 Perez (OGILVIE)	22	30	20	40	60	185/282/246	62	249	1	3	24%	11%	56	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeremy Arocho 2021 · A	22	48→45	36→30	48→60	47	224/285/296	72	288	3	10	22%	7%	66	-1.1	229/326/283	54	319	2	26	25%	12%	80	-0.2	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Juan Mosquera 2009 · A	21	43	33→30	46→55	52	197/290/240	43	280	1	14	27%	10%	57	-1.8	202/267/260	58	263	3	9	22%	8%	51	-2.2	183/242/211	28	222	0	9	16%	7%	28	-1.0
✕Terry Serrano 2008 · A	21	41	35→30	46→55	49	191/267/245	53	257	2	13	25%	9%	49	-2.4	202/275/269	67	295	3	16	29%	9%	57	-1.8	195/275/262	67	298	2	22	32%	10%	52	-0.8
✕Carlos Alvarez 2008 · A	22	44	36→40	49→45	49	204/285/270	66	265	2	8	22%	8%	61	-1.5	227/306/316	89	269	4	8	16%	9%	80	-0.2	231/320/325	95	269	5	9	15%	9%	85	+0.1
✕Rafael Marchán 2021 · A	22	46	36→45	40	47	214/269/282	67	257	3	6	17%	6%	57	-1.8	205/266/280	75	243	4	4	17%	6%	56	-1.9	226/305/329	102	258	9	2	16%	8%	81	-0.0
✕Mack Chambers 2022 · A	22	42	37→40	45→50	44	199/258/274	76	267	4	7	26%	7%	51	-2.2	211/273/310	99	281	8	11	26%	7%	65	-1.2	201/269/297	95	262	9	13	25%	8%	59	-0.8
✕Elvis Perez 2018 · A	22	45	36→30	46→45	43	209/266/276	67	286	3	7	27%	6%	54	-2.0	201/245/293	92	285	7	6	31%	5%	51	-2.3	178/210/273	95	240	9	2	30%	4%	30	-1.2
✕Elih Marrero 2019 · A	22	46	36→40	49→55	47	214/278/280	67	279	3	5	23%	8%	60	-1.6	213/272/293	80	285	5	9	25%	7%	61	-1.5	210/267/320	110	294	8	22	29%	6%	62	-0.4
✕Jose Herrera 2019 · A	22	41	38→40	45→40	43	199/241/278	80	247	5	3	22%	5%	45	-2.7	208/285/306	98	280	8	5	26%	10%	70	-0.9	210/292/298	88	277	8	3	26%	10%	69	-0.5
✕Kawika Emsley-Pai 2013 · A	24	43	36→30	46→40	55	198/298/270	72	275	3	7	26%	12%	67	-1.1	197/293/273	76	284	5	7	29%	11%	65	-1.2	163/278/221	58	239	5	4	30%	13%	48	-0.7
✕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
✕Milkar Perez 2023 · A	21	41	34→40	44→40	53	184/288/234	50	286	2	4	32%	12%	55	-1.9	211/292/290	79	315	4	3	31%	9%	69	-0.9	209/288/290	81	306	5	2	30%	9%	65	-0.7
✕Jonah Todd 2018 · A	22	49→36	35→30	40	49	228/296/292	64	300	2	4	23%	8%	70	-0.9	195/263/256	61	300	2	5	32%	8%	49	-2.4	166/239/212	45	270	0	3	35%	9%	28	-3.1
✕Gustavo Omana 2007 · A	21	44	35→30	46→45	45	206/260/260	55	257	2	5	20%	6%	49	-2.4	229/278/299	70	274	4	4	17%	5%	64	-1.3	261/301/322	61	294	4	0	12%	4%	79	-0.1
✕Josh Johnson 2008 · A	22	46→49	36→45	45→50	54	217/298/285	69	278	3	9	22%	10%	70	-0.9	228/308/305	77	295	4	10	22%	10%	78	-0.3	244/312/343	100	289	8	16	17%	9%	85	+0.1
✕Michael Papierski 2019 · A	23	37→44	39→40	47→40	54	180/284/263	83	241	7	6	26%	11%	61	-1.5	192/281/278	86	270	8	4	29%	10%	63	-1.4	200/288/293	93	258	9	0	25%	10%	66	-0.6
✕Roger Tomas 2008 · A	22	42	40→30	50→45	43	206/254/297	91	260	7	5	24%	6%	55	-2.0	221/264/281	60	281	3	6	21%	5%	54	-2.0	231/268/265	34	289	1	6	20%	4%	51	-0.6
✕Sergio Burruel 2012 · A	21	42	35→30	42→30	47	199/275/260	61	277	3	4	27%	8%	55	-1.9	215/268/277	62	300	3	6	27%	6%	55	-1.9	242/305/311	69	297	6	1	19%	7%	75	-0.2
✕Noe Becerra 2009 · AAA	22	42	37→30	44→40	47	201/265/269	68	260	5	7	24%	8%	53	-2.1	228/286/313	85	278	7	7	19%	7%	71	-0.8	282/332/341	59	319	2	0	12%	6%	93	+0.3
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3

Career Stats + Projections

Career Comps

Career Path Comps