Corey Nunez — OGILVIE

Corey NunezSS Myrtle Beach Pelicans

Age 23 R/R A HR -8% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 109 proj PA

wRC+†75

AVG/OBP/SLG.221 / .289 / .320

PA109

HR1

K%25

BB%7

ISO99

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.8M	+$0.0M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2026	22	A	Myrtle Beach Pelicans	—	108	92	26	8	0	0	12	13	4	5	1	283	389	370	758	87	329	12	11	351	75	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	22	A MLE	Myrtle Beach Pelicans	—	108	96	22	6	0	0	8	18	4	5	1	229	315	292	606	63	285	17	7	279	75	—	—	—	—	—	—
2026	22	A MLE	Myrtle Beach Pelicans	—	108	96	22	6	0	0	8	18	4	5	1	229	315	292	606	63	282	17	7	279	75	—	—	—	—	—	—
2026	22	A RAW	Myrtle Beach Pelicans	—	108	92	26	8	0	0	12	13	4	5	1	283	389	370	758	87	329	12	11	351	75	—	—	—	—	—	—
2026	22	A MLE	Myrtle Beach Pelicans	—	108	95	22	6	0	0	8	18	4	5	1	232	315	295	610	63	285	17	7	279	75	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	22	A MLE	Myrtle Beach Pelicans	—	108	95	22	6	0	0	8	18	4	5	1	232	315	295	610	63	285	17	7	279	75	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CHC	0%	218	197	44	9	1	3	16	53	3	5	1	223	292	323	615	99	290	24	7	279	75	-7	+1	+0	+2	+5	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CHC	30%	190	171	39	8	1	3	14	46	3	4	1	226	294	331	626	105	291	24	7	283	78	-5	+0	+0	+2	+4	0.2
2029	25	MLB MLE	CHC	44%	284	257	57	12	1	4	21	69	4	6	1	228	296	338	634	110	291	24	7	286	80	-7	+1	+0	+3	+6	0.3
2030	26	MLB MLE	CHC	51%	348	314	72	15	2	6	26	84	5	8	2	229	298	343	640	114	291	24	7	289	82	-8	+1	+0	+4	+8	0.5
2031	27	MLB MLE	CHC	52%	381	344	79	16	2	7	29	92	5	8	2	229	298	343	641	115	290	24	8	289	82	-8	+1	+0	+4	+8	0.5
2032	28	MLB MLE	CHC	53%	400	361	83	17	2	7	30	97	6	8	2	228	297	342	640	114	290	24	8	288	81	-9	+1	-1	+4	+9	0.4
2033	29	MLB MLE	CHC	53%	404	366	83	17	2	7	30	99	5	8	2	226	295	336	631	111	289	25	7	285	79	-10	+1	-1	+4	+9	0.2
2034	30	MLB MLE	CHC	52%	404	366	82	17	2	6	30	101	5	8	2	223	291	329	620	106	287	25	7	281	76	-12	+1	-2	+4	+9	0.0
2028	24	MLB CTX	CHC	30%	57	52	12	3	0	1	4	14	1	1	0	228	296	335	631	107	294	25	7	285	78	-2	+0	+0	+1	+1	0.1
2029	25	MLB CTX	CHC	44%	125	113	26	5	1	2	9	30	2	3	1	230	298	341	639	111	294	24	7	288	80	-3	+0	+0	+1	+3	0.1
2030	26	MLB CTX	CHC	51%	176	158	37	8	1	3	13	42	3	4	1	231	300	346	645	115	294	24	7	291	82	-4	+0	+0	+2	+4	0.2
2031	27	MLB CTX	CHC	52%	200	180	41	9	1	3	15	48	3	4	1	231	300	346	646	116	294	24	8	291	82	-4	+0	+0	+2	+4	0.3
2032	28	MLB CTX	CHC	53%	213	192	44	9	1	4	16	52	3	4	1	230	299	345	644	115	293	24	8	290	81	-5	+0	-0	+2	+5	0.2
2033	29	MLB CTX	CHC	53%	212	191	43	9	1	3	16	52	3	4	1	227	296	339	636	112	292	25	8	287	79	-5	+0	-1	+2	+5	0.1
2034	30	MLB CTX	CHC	52%	210	189	43	9	1	3	16	52	3	4	1	225	293	332	625	107	290	25	8	282	76	-6	+0	-1	+2	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1193	1075	246	52	6	19	89	290	18	24	6	229	299	341	640	113	294	24	7	288	79	-29	+2	-2	+13	+26	1.0
/ 162G	—	A+C		—	650	586	133	28	3	10	48	158	10	13	3	227	297	336	633	109	292	24	7	288	79	-16	+1	-1	+7	+14	0.6
Career	—	MLE		—	2628	2373	539	113	13	41	196	633	39	57	13	227	297	338	634	110	291	24	7	285	79	-61	+6	-4	+27	+55	2.2
/ 162G	—	MLE		—	650	587	133	28	3	10	48	157	10	14	3	227	296	336	632	109	291	24	7	285	79	-16	+1	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ronny 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
#2Yolmer 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
#3Adam 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
#4Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	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 4 projected seasons	2.0	1,303	21	28	227	293	338	+14	+12	2.1	2.0
/162	664	11	14	+7.1	+6.1	1.1	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
Corey Nunez (OGILVIE)	23	—	—	—	—	221/289/320	99	290	1	2	25%	7%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Cam Devanney 2021 · A	24	47→42	40→50	52→45	48	226/290/320	94	268	7	15	18%	7%	74	-0.5	199/263/320	121	268	13	5	29%	7%	65	-1.2	216/280/368	152	278	16	7	27%	7%	80	-0.1
✕Daniel Lyons 2009 · A	24	47	40	50	48	223/304/325	102	285	7	13	23%	8%	81	-0.1	196/280/278	82	263	5	14	25%	9%	62	-1.4	163/256/221	59	224	3	15	26%	10%	40	-1.4
✕Corey Toups 2016 · A	23	49→50	41→45	56→50	46	234/295/343	109	305	7	17	25%	7%	81	-0.1	217/279/332	115	309	9	16	31%	7%	73	-0.6	206/271/319	113	301	10	16	33%	7%	64	-0.9
✕Rayner Contreras 2010 · A	23	48	39→40	50	47	230/296/319	89	290	6	13	22%	7%	76	-0.4	216/267/291	75	309	5	10	30%	6%	58	-1.7	213/236/234	20	327	0	4	34%	3%	28	-0.7
✕Sean Jamieson 2013 · A	24	41→44	43→45	53→50	47	201/277/314	113	254	10	15	24%	8%	69	-0.9	225/285/338	113	297	9	10	26%	6%	77	-0.3	233/292/342	109	311	9	9	26%	6%	77	-0.3
✕Taylor Featherston 2013 · A	23	47→46	44→50	51→50	44	226/291/350	124	304	11	11	28%	7%	82	-0.0	221/268/359	138	289	14	12	28%	5%	75	-0.5	213/256/352	139	273	14	12	27%	4%	67	-0.8
✕Chase Strumpf 2021 · A	23	44→37	41→50	49→45	42	208/283/313	105	305	8	7	32%	7%	71	-0.8	199/294/337	138	307	14	5	37%	10%	81	-0.1	184/291/336	152	287	18	4	38%	11%	77	-0.2
✕Aaron Reza 2008 · A	23	46	39→45	47→40	50	219/295/307	87	269	6	9	20%	8%	74	-0.6	218/281/317	99	284	9	5	25%	6%	70	-0.8	213/276/307	94	276	9	2	25%	6%	63	-0.7
✕Kyler Fedko 2023 · A	23	43→42	42→50	51→55	47	212/283/319	108	277	9	10	26%	8%	72	-0.7	203/287/319	116	263	12	14	26%	10%	74	-0.6	195/275/339	144	243	18	22	27%	9%	72	-0.5
✕Francisco Acuna 2023 · A	23	40→47	41→45	47→50	42	197/272/302	105	277	8	11	30%	7%	65	-1.2	213/283/307	94	282	7	13	25%	7%	70	-0.9	198/282/292	94	261	8	17	25%	8%	64	-0.7
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	205/278/298	94	281	7	6	28%	6%	65	-1.2	202/274/329	127	271	14	4	30%	7%	72	-0.7	175/259/316	141	226	20	0	32%	7%	67	-0.5
✕Alex Isola 2021 · A	23	46→44	45→50	49→40	44	228/280/350	122	288	12	8	25%	6%	77	-0.3	216/283/360	144	273	19	4	27%	8%	82	-0.0	212/283/353	141	263	19	2	26%	8%	77	-0.2
✕Zach Morgan 2024 · A	24	43	41→45	50	48	209/279/310	101	279	8	7	27%	9%	68	-1.0	202/272/291	89	258	8	8	23%	8%	61	-1.5	192/265/268	76	237	8	7	21%	8%	52	-0.8
✕Tanner Schobel 2023 · A	22	45→44	38→45	52→50	47	212/285/292	80	289	6	13	27%	8%	66	-1.1	206/276/316	110	270	11	10	26%	8%	68	-1.0	198/271/309	111	256	12	10	26%	8%	63	-1.1
✕Kramer Robertson 2018 · A	23	46→50	40	48→55	46	224/283/314	90	274	7	12	21%	6%	70	-0.8	218/296/308	90	263	7	12	19%	8%	74	-0.5	202/302/304	102	256	10	19	23%	10%	73	-0.5
✕Nick Goodwin 2024 · A	22	45→46	42→45	49→45	44	214/297/327	113	289	9	9	28%	7%	80	-0.2	190/264/304	114	260	12	7	30%	7%	61	-1.5	187/265/309	122	249	13	6	29%	8%	61	-1.0
✕Dustin Garneau 2011 · A	23	45→38	41→50	47→45	44	217/279/322	105	287	8	6	26%	7%	71	-0.8	195/264/326	131	231	13	5	21%	8%	67	-1.1	178/254/344	166	215	21	0	29%	7%	67	-0.4
✕Glenn Santiago 2024 · A	23	44	40	50→45	43	209/272/301	92	295	8	8	30%	7%	63	-1.3	199/260/287	88	290	8	9	32%	7%	55	-1.9	146/208/202	56	213	6	8	33%	6%	15	-1.6
✕Ben Gobbel 2024 · A	24	44→41	41→45	52→50	42	208/277/307	100	306	8	14	33%	7%	67	-1.1	216/267/338	122	283	14	12	28%	5%	70	-0.8	216/266/339	123	276	15	11	27%	5%	67	-0.8

Career Stats + Projections

Career Comps

Career Path Comps