Onil Perez — OGILVIE

Onil PerezC Eugene Emeralds

Age 23 R/R 5'11" / 226 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION177 act + 23 ros · stats below = ROS only

showingROS

wRC+†60

AVG/OBP/SLG.190 / .261 / .238

PA23

HR0

K%22

BB%9

BABIP254

ISO48

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 55 / POW 30

Toolsscout grade

CONTACT55

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED50

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	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-3	$7M	—	—	—
Totals		$3M		$4M	+$2M

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)
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	150	+8	-0	—	—	+3	1.1
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	106	+1	-0	—	—	+4	0.5
2023	20	A+	Eugene Emeralds	—	48	45	13	0	1	0	3	7	0	2	2	289	333	333	667	44	342	15	6	303	92	-0	-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	119	+7	+3	—	—	+6	1.6
2024	21	A+	Eugene Emeralds	—	350	297	70	15	1	1	39	58	8	20	4	236	340	303	643	67	283	17	11	297	87	-5	+2	—	—	+8	0.5
2025	22	AA	Richmond Flying Squirrels	—	62	53	10	3	0	0	8	3	0	2	0	189	295	245	540	57	196	5	13	254	58	-3	+0	—	—	+1	-0.1
2025	22	A+	Eugene Emeralds	—	177	144	39	5	1	2	29	22	3	7	4	271	403	361	765	90	306	12	16	354	126	+5	-0	—	—	+4	0.9
2025	22	INTL	Toros del Este	—	16	13	1	0	0	0	3	2	0	0	0	77	250	77	327		91	12	19	187	13	-2	+0	—	—	+0	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Giants Black	—	134	117	27	4	0	2	16	21	0	6	4	231	323	316	640	85	258	16	12	284	78	-3	-0	—	—	+3	-0.1
2022	19	ROK MLE	ACL Giants Black	—	171	155	29	7	2	0	10	43	2	3	2	187	246	258	504	71	245	25	6	229	41	-12	-0	—	—	+4	-0.9
2023	20	A+ MLE	Eugene Emeralds	—	48	46	11	0	1	0	2	10	0	2	2	239	271	283	553	43	286	21	4	232	43	-3	-0	—	—	+1	-0.3
2023	20	A MLE	San Jose Giants	—	283	260	65	10	3	2	16	44	4	21	2	250	304	335	638	85	284	16	6	280	76	-8	+3	—	—	+6	0.1
2024	21	A+ MLE	Eugene Emeralds	—	350	312	59	12	1	1	24	84	8	20	4	189	265	244	508	54	237	24	7	225	38	-26	+2	—	—	+8	-1.6
2025	22	AA MLE	Richmond Flying Squirrels	—	62	55	10	3	0	0	6	4	0	2	0	182	262	236	499	55	180	6	10	221	36	-5	+0	—	—	+1	-0.3
2025	22	A+ MLE	Eugene Emeralds	—	177	154	35	4	1	2	19	29	3	7	4	227	324	305	629	78	264	16	11	282	77	-5	-0	—	—	+4	-0.1
2021	18	ROK MLE	DSL Giants Black	—	134	117	27	4	0	2	16	21	0	6	4	231	323	316	640	85	263	16	12	284	78	—	—	—	—	—	—
2021	18	ROK RAW	DSL Giants Black	—	134	103	30	5	0	2	30	15	0	6	4	291	451	398	849	107	322	11	22	390	78	—	—	—	—	—	—
2022	19	ROK MLE	ACL Giants Black	—	171	155	29	7	2	0	10	43	2	3	2	187	246	258	504	71	250	25	6	229	41	—	—	—	—	—	—
2022	19	ROK RAW	ACL Giants Black	—	171	149	41	10	3	0	16	30	2	3	2	275	353	383	736	107	333	18	9	325	41	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	331	306	75	10	4	2	18	54	4	23	4	245	296	324	619	78	289	16	5	273	71	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	331	298	89	12	5	2	26	38	4	23	4	299	363	393	755	94	333	11	8	339	71	—	—	—	—	—	—
2024	21	A+ MLE	Eugene Emeralds	—	350	312	59	12	1	1	24	84	8	20	4	189	265	244	508	54	249	24	7	225	38	—	—	—	—	—	—
2024	21	A+ RAW	Eugene Emeralds	—	350	297	70	15	1	1	39	58	8	20	4	236	340	303	643	67	283	17	11	297	38	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	255	223	48	7	1	2	27	35	3	9	4	215	308	283	591	67	245	14	11	266	66	—	—	—	—	—	—
2025	22	A+ RAW	3 teams	—	255	210	50	8	1	2	40	27	3	9	4	238	368	314	682	76	262	11	16	319	66	—	—	—	—	—	—
2021	18	ROK MLE	DSL Giants Black	—	134	117	27	4	0	2	16	21	0	6	4	231	323	316	640	85	258	16	12	284	78	—	—	—	—	—	—
2022	19	ROK MLE	ACL Giants Black	—	171	157	29	7	2	0	10	43	2	3	2	185	246	255	500	70	245	25	6	229	41	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	331	306	75	10	4	2	18	54	4	23	4	245	296	324	619	78	284	16	5	273	71	—	—	—	—	—	—
2024	21	A+ MLE	Eugene Emeralds	—	350	315	59	12	1	1	24	84	8	20	4	187	265	241	506	54	237	24	7	225	38	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	255	223	48	7	1	2	27	35	3	9	4	215	308	283	591	67	242	14	11	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	331	306	75	10	4	2	18	54	4	23	4	245	296	324	619	78	284	16	5	273	71	—	—	—	—	—	—
2024	21	A+ MLE	Eugene Emeralds	—	350	315	59	12	1	1	24	84	8	20	4	187	265	241	506	54	237	24	7	225	38	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	255	223	48	7	1	2	27	35	3	9	4	215	308	283	591	67	242	14	11	266	66	—	—	—	—	—	—
YTD	23	A+ MLE	SF	—	177	163	31	7	0	2	8	37	3	3	0	190	241	270	511	80	228	21	5	233	44	-12	+1	+0	+3	+4	-0.4
▸ 2026 season
YTD	23	A+ RAW	SF	—	143	129	33	8	0	3	10	22	2	3	0	256	319	388	707	132	283	15	7	314	44	—	—	—	—	—	—
YTD	23	AA RAW	SF	—	34	29	6	2	0	0	3	5	1	0	0	207	303	276	579	69	240	15	9	265	44	—	—	—	—	—	—
ROS	23	A+ MLE	SF	0%	23	21	4	1	0	0	2	5	0	1	0	190	261	238	499	48	259	22	9	257	60	-1	+0	+0	+0	+0	0.0
TOT	23	A+ MLE	SF	—	200	184	35	8	0	2	10	42	3	4	0	190	244	266	510	76	231	21	5	236	46	-13	+1	+0	+4	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SF	38%	337	305	66	13	1	4	25	67	4	7	2	216	284	305	589	89	263	20	7	273	71	-12	+1	+0	+6	+7	0.2
2028	25	MLB MLE	SF	55%	389	352	78	15	1	6	29	77	5	8	2	222	290	321	611	99	266	20	7	281	76	-11	+1	+0	+7	+8	0.5
2029	26	MLB MLE	SF	64%	422	382	86	16	2	8	32	84	5	9	2	225	294	340	634	115	267	20	8	285	79	-11	+1	+0	+8	+9	0.7
2030	27	MLB MLE	SF	66%	434	392	89	17	2	8	34	87	5	9	2	227	297	342	639	115	267	20	8	286	80	-10	+1	+0	+8	+9	0.8
2031	28	MLB MLE	SF	67%	439	396	89	17	2	8	35	89	5	9	2	225	296	338	634	114	267	20	8	285	79	-11	+1	-1	+8	+10	0.7
2032	29	MLB MLE	SF	66%	434	392	87	17	1	8	34	88	5	8	2	222	292	332	624	110	266	20	8	283	78	-11	+1	-1	+8	+9	0.5
2033	30	MLB MLE	SF	65%	428	386	84	16	1	7	34	88	5	7	2	218	289	319	608	101	265	21	8	281	76	-12	+1	-2	+8	+9	0.3
2034	31	MLB MLE	SF	65%	404	364	79	15	1	7	32	85	5	6	1	217	289	321	611	104	263	21	8	276	73	-13	+1	-3	+7	+9	0.1
2035	32	MLB MLE	SF	65%	374	337	72	13	1	6	30	80	4	5	1	214	286	312	597	98	260	21	8	271	70	-14	+1	-4	+7	+8	-0.2
2027	24	MLB CTX	SF	38%	128	116	25	5	0	2	9	25	2	3	1	216	283	310	594	95	259	20	7	258	71	-4	+0	+0	+2	+3	0.1
2028	25	MLB CTX	SF	55%	216	195	42	8	1	3	16	43	3	5	1	215	285	313	598	97	261	20	7	266	76	-6	+1	+0	+4	+5	0.3
2029	26	MLB CTX	SF	64%	269	243	53	10	1	4	21	54	3	6	1	218	288	317	605	99	262	20	8	270	79	-7	+1	+0	+5	+6	0.5
2030	27	MLB CTX	SF	66%	285	257	57	11	1	5	22	57	4	6	1	222	293	331	624	109	262	20	8	271	80	-7	+1	+0	+5	+6	0.5
2031	28	MLB CTX	SF	67%	293	264	58	11	1	5	23	59	4	6	1	220	292	326	618	106	262	20	8	270	79	-7	+1	-0	+5	+6	0.5
2032	29	MLB CTX	SF	66%	285	257	57	11	1	5	23	58	3	5	1	222	293	331	624	109	261	20	8	268	78	-7	+1	-1	+5	+6	0.4
2033	30	MLB CTX	SF	65%	279	252	54	10	1	4	22	58	3	5	1	214	285	310	595	95	260	21	8	266	76	-8	+1	-1	+5	+6	0.2
2034	31	MLB CTX	SF	65%	262	236	50	9	1	4	21	55	3	4	1	212	285	309	594	97	258	21	8	262	73	-8	+0	-2	+5	+6	0.1
2035	32	MLB CTX	SF	65%	242	218	45	8	1	3	19	52	3	3	1	206	279	294	573	87	255	21	8	257	70	-9	+0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2259	2038	441	83	8	35	176	461	28	43	9	216	288	316	604	100	262	20	8	266	71	-64	+5	-7	+40	+49	2.4
/ 162G	—	A+C		—	650	586	127	24	2	10	51	133	8	12	3	217	288	316	604	99	262	20	8	266	71	-18	+1	-2	+12	+14	0.7
Career	—	MLE		—	4925	4440	972	180	20	69	382	987	60	130	34	219	290	315	605	96	264	20	8	273	71	-106	+7	-10	+66	+80	3.7
/ 162G	—	MLE		—	650	586	129	24	3	9	50	130	8	17	4	220	290	317	607	97	266	20	8	273	71	-19	+1	-2	+12	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Adeiny 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
#5Sandy 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
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,259	38	42	222	290	329	+40	+24	4.2	4.0
/162	664	11	12	+11.9	+7.1	1.2	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
Onil Perez (OGILVIE)	23	55	30	50	60	209/275/281	72	259	2	6	20%	7%	60	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alfredo Lopez 2013 · AA	23	51	36→30	49→50	49	239/308/301	62	296	3	17	19%	8%	76	-0.4	226/287/288	62	283	2	13	19%	7%	65	-1.2	233/289/282	48	288	1	15	18%	6%	62	-0.6
✕Mike Brownstein 2011 · A	23	49	36→30	50→55	53	225/298/293	68	274	2	15	18%	9%	71	-0.8	223/286/296	73	298	4	12	24%	8%	67	-1.1	225/290/286	61	298	3	14	24%	8%	64	-0.7
✕Alberto Robles 2014 · A	23	54	36→30	50→55	46	252/301/318	66	295	3	16	16%	5%	76	-0.4	222/264/304	82	267	6	13	19%	5%	60	-1.6	204/238/270	66	239	5	15	17%	4%	40	-1.2
✕Aderling Mejia 2015 · AA	23	53	34→30	48→50	51	247/302/298	51	290	2	18	15%	7%	73	-0.6	223/283/287	64	273	3	11	18%	8%	63	-1.3	208/270/256	48	253	1	5	17%	8%	51	-1.1
✕Isiah Kiner-Falefa 2018 · AA	23	54→56	36→40	47→55	46	251/300/316	65	295	3	11	16%	5%	76	-0.4	245/303/332	87	293	5	12	17%	6%	81	-0.1	262/305/349	88	305	7	19	16%	5%	84	+0.1
✕Tony Renda 2014 · A	23	51→59	38→40	53→50	50	240/299/332	91	280	4	15	15%	7%	80	-0.2	253/303/330	77	295	3	16	14%	6%	80	-0.1	261/309/334	73	300	2	17	13%	5%	80	-0.1
✕Bryson Brigman 2019 · AA	24	53→59	36→40	51→50	45	248/297/317	70	308	3	13	20%	6%	75	-0.5	238/294/316	78	299	4	9	20%	7%	74	-0.5	240/296/316	76	297	6	12	20%	6%	72	-0.3
✕Roy Morales 2018 · A	23	51	37→30	49→45	50	237/302/304	67	277	4	8	16%	7%	75	-0.5	229/291/303	74	284	4	10	20%	7%	70	-0.8	271/334/327	56	322	3	8	16%	7%	89	+0.2
✕Gabe Holt 2022 · AA	24	52→54	35→30	52→50	55	242/323/301	59	292	3	12	17%	10%	82	+0.0	214/268/276	62	249	3	12	14%	6%	55	-1.9	187/225/223	35	209	0	14	10%	4%	23	-2.2
✕Jorge Flores 2015 · AA	23	51→54	36→30	43→50	46	240/291/310	71	284	2	11	16%	5%	72	-0.7	226/277/294	68	276	4	9	18%	6%	63	-1.4	216/284/282	66	263	6	10	19%	6%	61	-0.9
✕Yonny Hernández 2021 · AA	23	51→61	35→30	52→60	52	237/317/292	56	300	2	24	20%	9%	78	-0.3	219/317/283	64	284	3	33	21%	11%	77	-0.3	265/327/322	57	316	2	17	16%	7%	84	+0.1
✕Callix Crabbe 2006 · AA	23	49→54	36→40	52→55	52	228/296/299	71	275	3	16	18%	9%	72	-0.7	241/310/326	85	285	5	19	16%	9%	83	+0.1	243/316/328	85	287	5	20	16%	9%	84	+0.1
✕Drew Maggi 2012 · A	23	50→56	37→45	49→60	49	236/298/310	75	284	3	17	18%	7%	74	-0.5	225/288/291	66	291	3	22	22%	7%	67	-1.1	244/304/323	79	325	5	18	25%	6%	77	-0.2
●Jake Elmore 2011 · AA	24	52→62	37→40	48→55	53	242/311/316	74	289	3	17	17%	8%	80	-0.1	253/323/334	81	302	4	20	16%	9%	89	+0.5	264/336/347	82	313	3	23	15%	9%	95	+0.7
✕Bridger Hunt 2008 · A	23	54→56	37→30	45→50	46	255/302/331	76	310	4	13	19%	6%	80	-0.2	236/290/300	64	291	3	8	19%	7%	69	-0.9	221/274/262	41	268	2	6	17%	6%	51	-0.8
✕Matt Cline 2010 · A	24	49→57	37→30	49→50	47	230/290/304	73	269	5	11	16%	6%	70	-0.8	231/304/297	66	283	2	9	18%	7%	74	-0.5	226/301/281	55	278	1	7	17%	7%	67	-0.5
✕Dixon Machado 2015 · AA	23	49→54	39→45	47→55	50	230/290/318	89	275	5	10	18%	8%	74	-0.6	238/289/310	72	287	4	12	18%	6%	71	-0.8	222/304/330	107	267	11	4	20%	9%	79	-0.1
✕Guilder Rodriguez 2006 · AA	23	51→56	36→30	53→55	48	240/296/302	62	302	3	10	21%	7%	72	-0.7	239/296/283	44	297	2	13	19%	7%	68	-1.0	259/307/284	25	309	1	18	15%	6%	67	-0.4
✕Hainley Statia 2009 · AA	23	52→57	37→40	51→50	47	244/287/323	79	283	3	16	15%	6%	72	-0.7	233/280/309	76	266	3	12	13%	6%	67	-1.1	239/289/311	72	272	2	10	12%	6%	68	-0.5
✕Tyler Smith 2014 · A	23	49→54	39→40	50	44	230/289/323	93	288	5	11	21%	6%	74	-0.5	238/301/328	90	303	6	9	22%	7%	80	-0.2	240/300/324	85	302	6	8	21%	7%	75	-0.4

Career Stats + Projections

Career Comps

Career Path Comps