Jose Perez — OGILVIE

Jose PerezSS Bowling Green Hot Rods

Age 22 S/R 5'9" / 170 lbs A+ Svc 0.0 · Ctrl thru 2035 peak 1.7 · 2031

wRC+†73

AVG/OBP/SLG.217 / .305 / .320

PA209

HR3

K%23

BB%10

MLB%0%

Scouting · now → future

HIT

30→30

PWR

20→20

SPD

40→40

EYE

62↘60

trajectory · 10 yrs

1.7peak

2031

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	Arb-2	$0.9M	+1.6	$14M	+$14M
2031	Arb-3	$0.9M	+1.7	$16M	+$15M
2032	Ext / FA-deal	$0.9M	+1.6	$15M	+$14M
2033	Ext / FA-deal	$3M	+1.4	$14M	+$11M
2034	Ext / FA-deal	$4M	+1.2	$12M	+$8M
2035	Ext / FA-deal	$5M	+1.0	$10M	+$5M
Totals		$14M		$82M	+$67M

Career Projections (MLE)

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	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
2021	17	ROK	DSL Rays 2	123	109	16	2	2	1	11	37	2	2	5	.147	.238	.229	.467	.083	.208	30	9	.219	26	-10	-2	+0	+1	+3	-0.7
2022	18	ROK	DSL Tampa Bay	110	93	17	0	1	0	12	18	2	5	4	.183	.290	.204	.494	.022	.221	16	11	.228	33	-8	-1	+0	+1	+3	-0.5
2023	19	ROK	DSL Rays	171	134	27	4	5	3	27	47	5	3	4	.201	.355	.373	.729	.172	.276	27	16	.310	95	-1	-1	+0	+2	+5	0.5
2024	20	ROK	2 teams	223	189	40	8	2	2	28	53	5	5	1	.212	.329	.307	.636	.095	.284	24	13	.279	72	-7	+1	+0	+2	+6	0.2
2025	21	A	2 teams	223	190	31	4	1	1	24	49	6	2	1	.163	.277	.211	.488	.047	.213	22	11	.225	30	-18	+0	+0	+2	+6	-0.9
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Bowling Green Hot Rods	16	15	3	1	0	0	1	4	0	0	0	.200	.250	.267	.517	.067	.273	25	6	.184	-1	-2	+0	+0	+0	+0	-0.1
ROS	22	MLB	TB	193	169	37	7	1	3	19	45	3	3	1	.219	.309	.325	.634	.107	.279	23	10	.288	79	-5	+0	+0	+2	+5	0.3
TOT	22	MLB	TB	209	184	40	8	1	3	20	49	3	3	1	.217	.304	.321	.625	.103	.278	23	10	.280	73	-6	+0	+0	+2	+6	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	TB	269	236	53	10	1	5	27	61	4	4	1	.225	.315	.339	.654	.114	.281	23	10	.299	87	-4	+0	+0	+3	+8	0.7
2028	24	MLB 26%	TB	359	315	72	14	2	7	36	81	5	5	1	.229	.317	.352	.670	.124	.282	23	10	.305	92	-3	+1	+0	+4	+10	1.2
2029	25	MLB 44%	TB	410	359	83	16	2	9	42	91	6	6	2	.231	.322	.362	.684	.131	.283	22	10	.309	95	-2	+0	+0	+4	+12	1.4
2030	26	MLB 59%	TB	442	387	89	17	2	10	46	98	6	6	2	.230	.321	.362	.683	.132	.284	22	10	.311	96	-2	+0	+0	+5	+13	1.6
2031	27	MLB 76%	TB	455	397	92	18	2	10	48	102	7	6	2	.232	.325	.363	.688	.131	.284	22	11	.311	97	-2	+0	+0	+5	+13	1.7
2032	28	MLB 84%	TB	459	401	92	18	2	10	48	104	7	6	1	.229	.322	.359	.681	.130	.284	23	10	.310	96	-2	+1	-1	+5	+13	1.6
2033	29	MLB 90%	TB	455	397	90	17	2	10	48	104	7	5	1	.227	.321	.355	.676	.128	.283	23	11	.308	94	-3	+1	-1	+5	+13	1.4
2034	30	MLB	TB	448	392	88	17	2	9	47	104	6	5	1	.224	.317	.347	.664	.122	.281	23	10	.305	92	-4	+1	-2	+5	+13	1.2
2035	31	MLB	TB	436	381	85	16	2	9	46	103	6	3	0	.223	.316	.346	.663	.123	.280	24	11	.301	89	-6	+1	-3	+5	+12	1.0
2036	32	MLB	TB	419	366	80	15	2	8	44	101	6	3	0	.219	.312	.336	.649	.117	.278	24	11	.297	85	-7	+1	-4	+4	+12	0.7
2037	33	MLB	TB	390	341	74	14	2	7	41	97	5	2	0	.217	.310	.331	.641	.114	.277	25	11	.291	81	-8	+0	-4	+4	+11	0.3
2038	34	MLB	TB	346	302	65	12	2	6	36	89	5	2	0	.215	.309	.328	.637	.113	.275	26	10	.285	76	-9	+0	-5	+4	+10	-0.0
2039	35	MLB	TB	293	257	52	10	1	4	30	78	4	2	0	.202	.296	.296	.591	.093	.273	27	10	.278	71	-10	+0	-6	+3	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6224	5415	1183	219	36	114	660	1462	97	75	27	.218	.314	.335	.650	.117	.276	23	11	.295	84	-111	+4	-25	+67	+176	11.3
/ 162G	—			650	566	124	23	4	12	69	153	10	8	3	.219	.315	.337	.652	.118	.277	24	11	.295	84	-12	+0	-3	+7	+18	1.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	89	-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	.023	.237	11	17	.288	79	-3	-1	—	—	+3	-0.0
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	186	+17	-1	—	—	+5	2.1
2024	20	A	Charleston RiverDogs	85	65	15	2	0	0	18	14	1	2	1	.231	.405	.262	.666	.031	.294	16	21	.325	107	+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	182	+13	+1	—	—	+4	1.8
2025	21	A+	Bowling Green Hot Rods	15	11	2	0	0	0	2	5	1	0	1	.182	.357	.182	.539	.000	.286	33	13	.263	59	-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	.054	.207	14	17	.278	71	-7	+0	—	—	+6	-0.1

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	.217/.305/.320	.103	.279	3	3	23%	10%	79	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Lobatón 2007 · A	22	44	42→45	43→30	47	.212/.290/.319	.108	.298	9	5	30%	9%	71	-0.3	.217/.282/.343	.126	.297	13	3	29%	8%	74	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Sherman Lacrus 2016 · A	22	47	40→30	45→50	49	.225/.297/.314	.089	.263	7	7	17%	7%	73	-0.1	.204/.258/.288	.084	.268	6	8	25%	6%	49	-1.8	.183/.231/.254	.071	.236	5	9	24%	4%	26	-1.1
✕Jeremy Arocho 2021 · A	22	48→43	36→30	47→60	47	.226/.287/.294	.067	.288	2	10	21%	7%	62	-0.9	.230/.323/.285	.055	.320	2	26	25%	12%	76	+0.1	.224/.333/.269	.045	.305	1	34	23%	14%	74	-0.0
✕Michael Papierski 2019 · A	23	38→41	40	48→40	55	.186/.291/.272	.085	.244	8	6	25%	12%	61	-1.0	.189/.280/.274	.085	.266	8	4	29%	10%	56	-1.3	.198/.288/.298	.100	.256	11	0	25%	10%	63	-0.5
✕Charlie Valerio 2013 · A	22	43	41→40	46→45	47	.212/.278/.307	.095	.264	9	8	23%	8%	63	-0.9	.210/.265/.293	.083	.306	5	5	31%	7%	53	-1.5	.200/.247/.282	.082	.297	5	0	33%	6%	42	-0.8
✕Kevin Encarnacion 2015 · A	23	45	42→40	44→55	51	.221/.298/.326	.105	.274	9	10	22%	9%	76	+0.1	.222/.276/.306	.084	.294	6	8	25%	6%	61	-1.0	.226/.279/.297	.071	.294	6	7	24%	5%	55	-0.5
✕Blake Ochoa 2008 · A	22	43	41→45	41→40	42	.210/.262/.307	.096	.269	8	5	25%	5%	56	-1.3	.227/.284/.342	.115	.280	11	4	22%	7%	74	-0.1	.236/.301/.377	.140	.278	16	2	21%	7%	89	+0.3
✕John Aiello 2019 · A	22	47	40→45	47→45	44	.219/.299/.315	.095	.320	7	7	31%	8%	74	-0.1	.205/.278/.311	.106	.340	9	6	40%	6%	65	-0.7	.226/.306/.342	.115	.345	12	3	34%	7%	80	+0.2
✕Carlos Alvarez 2008 · A	22	44	36→40	49→45	49	.206/.285/.274	.068	.268	3	8	23%	8%	57	-1.2	.226/.305/.314	.088	.269	4	8	16%	8%	76	+0.1	.231/.320/.325	.095	.269	5	9	15%	9%	83	+0.2
✕Shawn Zarraga 2010 · A	21	45	36→40	48→45	47	.210/.288/.277	.068	.290	4	5	27%	8%	59	-1.1	.233/.300/.320	.087	.305	6	8	24%	7%	76	+0.0	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Taylor Krick 2011 · A	23	43	39→30	48→40	49	.206/.285/.289	.084	.266	7	7	24%	9%	62	-0.9	.224/.308/.287	.063	.307	4	5	26%	8%	71	-0.3	.233/.323/.283	.051	.326	2	2	26%	8%	73	-0.0
✕Luis Alvarez 2012 · A	22	45	39→45	43→45	44	.216/.274/.303	.087	.270	6	5	22%	6%	59	-1.1	.220/.273/.344	.124	.279	13	5	25%	5%	70	-0.3	.210/.253/.368	.158	.249	21	0	25%	3%	66	-0.1
✕Josh Johnson 2008 · A	22	46→49	37→45	45→50	54	.216/.299/.287	.071	.275	4	9	21%	10%	66	-0.6	.226/.307/.301	.075	.294	4	10	22%	10%	73	-0.1	.247/.316/.352	.105	.295	9	16	18%	9%	86	+0.5
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕David Martin 2023 · A	22	45	39→30	49→30	42	.213/.285/.304	.091	.300	6	7	29%	6%	66	-0.6	.223/.305/.293	.070	.278	5	4	20%	9%	71	-0.3	.243/.334/.302	.059	.291	5	1	16%	10%	83	+0.3
✕Marcus Littlewood 2014 · A	22	41	40→45	47→45	48	.197/.270/.292	.096	.274	7	5	29%	9%	56	-1.3	.207/.273/.320	.113	.269	10	5	26%	8%	64	-0.8	.205/.272/.318	.112	.262	10	4	25%	8%	60	-0.5
✕Jeferson Morales 2021 · A	22	44→46	40→45	48→50	52	.208/.300/.315	.107	.258	6	10	20%	9%	75	-0.0	.202/.283/.334	.132	.263	13	9	27%	8%	73	-0.1	.223/.298/.355	.132	.277	12	8	23%	7%	81	+0.2
✕Greg Cullen 2019 · A	22	47→42	38→40	46→40	49	.221/.285/.307	.086	.270	5	4	19%	8%	65	-0.7	.214/.296/.313	.099	.273	8	3	23%	8%	72	-0.2	.232/.336/.332	.100	.317	11	4	27%	12%	91	+0.4
✕Roberto Pérez 2011 · A	22	45→41	39→55	43→30	51	.211/.299/.305	.093	.286	6	4	26%	10%	72	-0.2	.200/.287/.280	.080	.286	4	3	28%	10%	60	-1.0	.206/.291/.377	.171	.260	23	1	30%	10%	84	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)