Onil Perez — OGILVIE

Onil PerezC Eugene Emeralds

Age 23 R/R 5'11" / 226 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2035 peak 1.7 · 2030

wRC+†67

AVG/OBP/SLG.225 / .300 / .308

PA274

HR3

SB8

K%19

BB%8

MLB%0%

Scouting · now → future

HIT

55→55

PWR

30→30

SPD

50→50

EYE

51↗60

trajectory · 10 yrs

1.7peak

2030

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	+1.7	$15M	+$14M
2031	Arb-3	$0.9M	+1.6	$15M	+$14M
2032	Ext / FA-deal	$0.9M	+1.4	$13M	+$12M
2033	Ext / FA-deal	$2M	+1.2	$12M	+$9M
2034	Ext / FA-deal	$3M	+0.9	$5M	+$2M
2035	Ext / FA-deal	$3M	+0.6	$3M	+$0.2M
Totals		$11M		$63M	+$52M

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	18	ROK	DSL Giants Black	134	121	27	4	0	1	12	20	0	6	4	.223	.293	.281	.574	.058	.257	15	9	.272	66	-5	-0	+0	+2	+4	0.1
2022	19	ROK	ACL Giants Black	171	155	29	8	2	0	10	43	2	3	2	.187	.246	.265	.510	.077	.250	25	6	.228	33	-13	-0	+0	+3	+5	-0.5
2023	20	A	2 teams	331	306	76	10	4	2	18	53	4	23	4	.248	.299	.327	.626	.078	.291	16	5	.275	69	-12	+3	+0	+6	+9	0.7
2024	21	A+	Eugene Emeralds	350	312	59	12	1	1	24	83	8	20	4	.189	.265	.244	.508	.054	.248	24	7	.226	31	-27	+2	+0	+6	+10	-0.9
2025	22	A+	3 teams	255	223	48	7	1	2	27	34	3	9	4	.215	.308	.283	.591	.067	.243	13	11	.268	63	-11	+0	+0	+5	+7	0.1
▸ 2026 Season (actual · ROS · total)
2026	23	A+	Eugene Emeralds	27	25	4	0	0	2	1	10	0	1	0	.160	.192	.400	.592	.240	.143	37	4	.207	17	-3	+0	+0	+0	+1	-0.1
ROS	23	MLB	SF	247	221	50	9	1	2	21	47	3	7	2	.226	.302	.303	.605	.077	.275	19	9	.280	73	-8	+1	+0	+4	+7	0.5
TOT	23	MLB	SF	274	246	54	9	1	4	22	57	3	8	2	.220	.292	.313	.605	.093	.267	21	8	.273	67	-10	+1	+0	+5	+8	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	SF	337	301	70	12	2	5	29	64	4	9	2	.233	.308	.336	.644	.103	.278	19	9	.292	82	-7	+1	+0	+6	+10	1.0
2028	25	MLB 25%	SF	389	346	82	14	2	7	35	74	5	10	3	.237	.316	.350	.666	.113	.280	19	9	.299	87	-6	+1	+0	+7	+11	1.3
2029	26	MLB 43%	SF	422	376	90	16	2	8	38	81	5	10	3	.239	.317	.356	.674	.117	.281	19	9	.303	90	-5	+1	+0	+8	+12	1.6
2030	27	MLB 58%	SF	434	386	91	16	2	8	40	84	5	10	2	.236	.316	.350	.665	.114	.281	19	9	.304	91	-5	+1	+0	+8	+12	1.7
2031	28	MLB 68%	SF	439	390	92	16	2	8	41	86	5	9	2	.236	.317	.349	.665	.113	.281	20	9	.303	90	-5	+1	-1	+8	+12	1.6
2032	29	MLB 77%	SF	434	386	91	16	2	8	40	86	5	8	2	.236	.316	.350	.665	.114	.281	20	9	.301	88	-6	+1	-1	+8	+12	1.4
2033	30	MLB 84%	SF	428	380	87	15	2	7	40	87	5	7	1	.229	.311	.334	.645	.105	.280	20	9	.298	86	-7	+1	-2	+8	+12	1.2
2034	31	MLB 91%	SF	404	358	83	14	2	7	38	83	5	5	1	.232	.314	.341	.655	.109	.278	21	9	.294	83	-8	+1	-3	+7	+11	0.9
2035	32	MLB	SF	374	332	76	13	2	6	35	79	4	4	0	.229	.310	.334	.644	.105	.277	21	9	.290	80	-8	+1	-4	+7	+11	0.6
2036	33	MLB	SF	336	298	66	11	1	5	31	73	4	3	0	.221	.303	.315	.619	.094	.276	22	9	.285	76	-9	+1	-4	+6	+10	0.3
2037	34	MLB	SF	286	255	55	9	1	4	26	65	3	3	0	.216	.296	.306	.602	.090	.275	23	9	.279	71	-9	+1	-5	+5	+8	-0.0
2038	35	MLB	SF	232	207	44	7	1	3	21	55	2	2	0	.213	.291	.300	.591	.087	.274	24	9	.272	66	-9	+0	-6	+4	+7	-0.3
2039	36	MLB	SF	177	157	33	5	1	2	16	44	2	2	0	.210	.291	.293	.584	.083	.271	25	9	.264	60	-8	+0	-6	+3	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			6180	5510	1249	214	31	86	542	1241	74	150	36	.227	.304	.324	.628	.097	.275	20	9	.285	76	-166	+16	-31	+110	+175	10.6
/ 162G	—			650	580	132	23	3	9	57	131	8	16	4	.228	.305	.324	.630	.097	.277	20	9	.285	76	-17	+2	-3	+12	+18	1.1

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	18	ROK	DSL Giants Black	134	103	30	5	0	2	30	15	0	6	4	.291	.451	.398	.849	.107	.322	11	22	.390	157	+9	-0	—	—	+4	1.2
2022	19	ROK	ACL Giants Black	171	149	41	10	3	0	16	30	2	3	2	.275	.353	.383	.736	.107	.333	18	9	.325	107	+1	-0	—	—	+5	0.6
2023	20	A+	Eugene Emeralds	48	45	13	0	1	0	3	7	0	2	2	.289	.333	.333	.667	.044	.342	15	6	.303	90	-1	-0	—	—	+1	0.0
2023	20	A	San Jose Giants	283	253	76	12	4	2	23	31	4	21	2	.300	.368	.403	.771	.103	.332	11	8	.345	122	+7	+3	—	—	+8	1.9
2024	21	A+	Eugene Emeralds	350	297	70	15	1	1	39	58	8	20	4	.236	.340	.303	.643	.067	.283	17	11	.297	86	-6	+2	—	—	+10	0.7
2025	22	AA	Richmond Flying Squirrels	62	53	10	3	0	0	8	3	0	2	0	.189	.295	.245	.540	.057	.196	5	13	.254	53	-3	+0	—	—	+2	-0.1
2025	22	A+	Eugene Emeralds	177	144	39	5	1	2	29	22	3	7	4	.271	.403	.361	.765	.090	.306	12	16	.354	129	+6	-0	—	—	+5	1.1
2025	22	INTL	Toros del Este	16	13	1	0	0	0	3	2	0	0	0	.077	.250	.077	.327	.000	.091	12	19	.187	2	-2	+0	—	—	+0	-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
Onil Perez (OGILVIE)	23	55	30	50	60	.225/.300/.308	.083	.275	3	7	19%	8%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jake Elmore 2011 · AA	24	51→61	37→40	48→55	52	.238/.307/.315	.078	.285	4	16	17%	8%	76	+0.1	.251/.320/.331	.080	.301	4	19	16%	9%	86	+0.8	.266/.337/.349	.083	.314	3	23	15%	9%	95	+1.0
✕Roy Morales 2018 · A	23	49	36→30	49→45	49	.231/.294/.298	.066	.270	4	8	16%	6%	66	-0.6	.229/.291/.300	.071	.281	4	10	19%	7%	66	-0.6	.267/.331/.325	.058	.319	4	8	16%	7%	86	+0.3
✕Isiah Kiner-Falefa 2018 · AA	23	52→57	35→40	46→55	45	.243/.293/.304	.061	.290	3	11	17%	5%	67	-0.5	.243/.300/.327	.084	.291	5	12	18%	6%	76	+0.1	.268/.316/.348	.080	.304	6	21	14%	5%	85	+0.5
✕Austin Martin 2022 · AA	23	50	40	51→60	51	.232/.340/.330	.098	.317	7	14	26%	10%	96	+1.5	.224/.319/.308	.084	.281	6	25	21%	9%	82	+0.5	.251/.338/.332	.081	.305	5	25	18%	10%	92	+0.6
✕Nicky Lopez 2018 · AA	23	51→61	38→40	52→55	50	.239/.294/.321	.082	.271	5	16	14%	6%	72	-0.2	.250/.303/.336	.086	.282	6	12	13%	7%	79	+0.3	.256/.317/.334	.078	.294	4	14	13%	8%	82	+0.4
✕Alfredo Lopez 2013 · AA	23	51	36→30	49→50	49	.237/.306/.299	.062	.295	3	17	20%	8%	72	-0.2	.226/.286/.287	.061	.284	2	13	20%	7%	60	-1.0	.233/.279/.278	.045	.285	1	20	18%	5%	49	-0.6
✕Paco Figueroa 2006 · A	23	51→58	37→40	49→55	49	.238/.307/.317	.079	.298	4	11	20%	8%	77	+0.1	.250/.306/.327	.077	.303	4	16	18%	6%	79	+0.3	.262/.320/.344	.082	.316	2	19	17%	7%	84	+0.4
✕Mike Brownstein 2011 · A	23	49	36→30	50→55	54	.225/.299/.294	.068	.273	2	15	17%	9%	68	-0.5	.224/.289/.297	.073	.295	3	12	23%	8%	64	-0.8	.226/.293/.288	.062	.297	3	14	23%	8%	61	-0.5
✕Otto Lopez 2022 · AAA	23	55→59	39→45	52→55	44	.262/.307/.356	.094	.324	6	17	21%	5%	86	+0.8	.257/.307/.355	.098	.319	6	18	20%	6%	85	+0.7	.266/.318/.393	.127	.299	13	20	16%	7%	97	+1.0
✕Alberto Robles 2014 · A	23	53	36→30	50→55	47	.247/.299/.310	.063	.289	3	15	15%	6%	71	-0.3	.221/.262/.300	.079	.265	5	13	18%	5%	53	-1.5	.204/.238/.270	.066	.239	5	15	17%	4%	32	-1.2
✕Tony Renda 2014 · A	23	49→59	38→40	53→50	49	.230/.286/.320	.090	.266	4	15	15%	6%	69	-0.4	.250/.300/.326	.076	.292	3	16	15%	6%	76	+0.0	.262/.309/.335	.073	.301	2	17	13%	5%	78	+0.2
✕Mauricio Dubón 2017 · AA	23	55→60	39→45	55	45	.260/.300/.351	.092	.307	5	19	17%	5%	82	+0.5	.246/.283/.350	.104	.292	9	22	18%	5%	75	-0.0	.262/.299/.376	.114	.288	10	6	13%	4%	87	+0.6
✕Gabe Holt 2022 · AA	24	52→54	36→30	52→50	54	.241/.319/.303	.062	.290	3	12	17%	9%	79	+0.3	.214/.269/.274	.060	.249	3	13	14%	6%	50	-1.8	.186/.224/.223	.036	.210	0	14	11%	4%	13	-2.2
✕Matt Shepherd 2006 · A	23	54→57	36→30	49→50	55	.252/.324/.323	.072	.302	2	11	17%	10%	85	+0.7	.227/.291/.299	.072	.294	3	10	22%	8%	65	-0.7	.188/.244/.232	.044	.258	0	6	25%	7%	27	-1.0
●Chin-Lung Hu 2007 · AA	23	53→61	40→45	49→50	46	.254/.294/.346	.092	.285	7	12	14%	5%	79	+0.3	.259/.293/.370	.111	.292	9	11	14%	4%	84	+0.6	.266/.297/.377	.110	.298	8	11	13%	4%	82	+0.4
✕Bryson Brigman 2019 · AA	24	52→59	36→40	50	45	.245/.295/.314	.068	.303	3	13	20%	6%	70	-0.3	.238/.293/.316	.078	.300	4	9	21%	7%	70	-0.3	.237/.292/.328	.091	.299	7	11	22%	6%	70	-0.2
✕Jasson Atondo 2019 · AAA	23	45→55	40→30	45→50	45	.217/.260/.308	.091	.255	7	11	18%	5%	54	-1.4	.276/.309/.352	.076	.309	6	12	12%	5%	85	+0.7	.310/.339/.367	.057	.342	3	11	10%	4%	96	+1.2
●Kevin Newman 2017 · AA	23	56→63	39→45	49→50	51	.267/.321/.354	.088	.295	6	11	12%	6%	92	+1.2	.258/.298/.347	.089	.294	6	14	14%	5%	80	+0.4	.274/.318/.369	.096	.306	8	18	13%	5%	90	+0.8
✕Brent Keys 2013 · A	23	54→64	38→30	51→50	48	.255/.302/.338	.083	.289	5	14	14%	6%	79	+0.3	.264/.323/.324	.060	.298	3	11	12%	8%	85	+0.7	.273/.341/.313	.040	.305	1	10	10%	9%	87	+0.6
✕Brendan Ryan 2006 · AA	24	53→61	40	54→55	48	.250/.297/.347	.097	.288	6	14	15%	6%	80	+0.4	.244/.291/.330	.086	.283	6	17	15%	6%	73	-0.1	.259/.310/.346	.087	.298	5	20	14%	6%	81	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)