Nico Perez — OGILVIE

Nico PerezSS Great Lakes Loons

Age 21 R/R 5'10" / 175 lbs A+ HR +15%K -3% Svc 0.0 · Ctrl thru 2035 peak 2.4 · 2031

wRC+†90

AVG/OBP/SLG.211 / .288 / .321

PA238

HR4

SB19

K%29

BB%9

MLB%0%

Scouting · now → future

HIT

45→45

PWR

30→30

SPD

60→60

EYE

52↗55

trajectory · 10 yrs

2.4peak

2032

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	+2.2	$20M	+$19M
2031	Arb-3	$0.9M	+2.4	$22M	+$21M
2032	Ext / FA-deal	$0.9M	+2.4	$23M	+$22M
2033	Ext / FA-deal	$5M	+2.2	$22M	+$17M
2034	Ext / FA-deal	$7M	+2.1	$21M	+$14M
2035	Ext / FA-deal	$9M	+1.8	$19M	+$9M
Totals		$24M		$127M	+$103M

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
2023	18	INTL	RA12	16	16	3	0	0	0	0	7	0	0	0	.188	.188	.188	.375	.000	.333	44	0	—	—	—	—	+0	+0	—	—
2024	19	ROK	ACL Dodgers	126	114	18	2	0	2	9	53	3	14	1	.158	.238	.228	.466	.070	.271	42	7	.221	27	-10	+2	+0	+1	+4	-0.3
2025	20	A	Rancho Cucamonga Quakes	251	217	48	9	1	3	25	75	2	35	6	.221	.307	.313	.621	.092	.310	30	10	.272	66	-10	+5	+0	+3	+7	0.5
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Great Lakes Loons	72	62	17	2	0	2	5	19	4	11	2	.274	.366	.403	.769	.129	.357	26	7	.337	116	+1	+1	+0	+1	+2	0.6
ROS	21	MLB	LAD	166	148	33	6	1	3	14	47	3	8	2	.223	.303	.338	.641	.115	.300	28	8	.289	79	-4	+1	+0	+2	+5	0.3
TOT	21	MLB	LAD	238	210	50	8	1	5	19	66	7	19	4	.238	.322	.357	.679	.119	.319	28	8	.303	90	-3	+2	+0	+3	+7	0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	LAD	304	268	62	11	1	6	28	78	5	12	2	.231	.316	.347	.663	.116	.300	26	9	.303	90	-4	+2	+0	+3	+9	1.0
2028	23	MLB 28%	LAD	392	346	82	15	2	9	37	97	6	13	2	.237	.321	.370	.691	.133	.300	25	9	.310	95	-2	+2	+0	+4	+11	1.5
2029	24	MLB 45%	LAD	451	398	95	17	2	11	43	110	7	14	3	.239	.324	.374	.698	.136	.300	24	10	.315	99	-0	+2	+0	+5	+13	1.9
2030	25	MLB 60%	LAD	483	425	101	18	2	12	47	117	8	14	2	.238	.325	.374	.699	.136	.300	24	10	.318	102	+1	+2	+0	+5	+14	2.2
2031	26	MLB 78%	LAD	501	438	106	19	2	13	50	121	8	13	2	.242	.331	.384	.714	.142	.301	24	10	.320	103	+2	+2	+0	+5	+14	2.4
2032	27	MLB 92%	LAD	508	444	106	19	2	13	51	124	8	13	2	.239	.328	.378	.706	.140	.301	24	10	.320	103	+2	+2	+0	+5	+14	2.4
2033	28	MLB	LAD	508	443	106	19	2	13	52	125	8	12	2	.239	.330	.379	.709	.140	.300	25	10	.319	102	+1	+2	-1	+5	+14	2.2
2034	29	MLB	LAD	500	437	104	19	2	12	51	124	8	12	1	.238	.329	.373	.702	.135	.299	25	10	.317	101	+0	+2	-1	+5	+14	2.1
2035	30	MLB	LAD	492	431	101	18	2	12	50	124	8	11	1	.234	.325	.369	.694	.135	.298	25	10	.314	98	-1	+2	-2	+5	+14	1.8
2036	31	MLB	LAD	479	420	97	17	2	11	49	122	7	10	0	.231	.321	.360	.681	.129	.297	25	10	.310	95	-3	+2	-3	+5	+14	1.6
2037	32	MLB	LAD	461	404	92	16	2	10	47	120	7	9	0	.228	.319	.351	.670	.124	.295	26	10	.305	92	-4	+2	-4	+5	+13	1.2
2038	33	MLB	LAD	432	378	85	15	2	9	44	116	7	8	0	.225	.317	.347	.664	.122	.294	27	10	.300	88	-6	+2	-4	+5	+12	0.8
2039	34	MLB	LAD	386	338	74	13	1	8	39	107	6	8	0	.219	.311	.334	.645	.115	.292	28	10	.293	83	-8	+2	-5	+4	+11	0.4
2040	35	MLB	LAD	333	292	62	11	1	6	33	95	5	7	0	.212	.303	.318	.622	.106	.290	29	10	.286	77	-9	+1	-6	+4	+9	0.0
2041	36	MLB	LAD	274	241	50	8	1	5	27	81	4	6	0	.207	.298	.311	.609	.104	.287	30	10	.277	70	-9	+1	-6	+3	+8	-0.4
2042	37	MLB	LAD	212	187	37	6	1	3	20	65	3	5	0	.198	.286	.289	.574	.091	.283	31	9	.268	63	-9	+1	-7	+2	+6	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			7275	6385	1462	258	29	161	716	1908	113	224	26	.229	.318	.354	.672	.125	.299	26	10	.304	91	-77	+34	-38	+78	+206	20.8
/ 162G	—			650	570	131	23	3	14	64	170	10	20	2	.230	.318	.354	.673	.125	.300	26	10	.304	91	-7	+3	-3	+7	+18	1.9

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
2023	18	INTL	RA12	16	16	3	0	0	0	0	7	0	0	0	.188	.188	.188	.375	.000	.333	44	0	.170	-12	-2	+0	—	—	+0	-0.2
2024	19	ROK	ACL Dodgers	126	106	28	4	0	3	17	36	3	14	1	.264	.381	.387	.768	.123	.373	29	13	.353	128	+4	+2	—	—	+4	1.0
2025	20	A	Rancho Cucamonga Quakes	251	207	58	12	2	3	35	55	2	35	6	.280	.389	.401	.790	.121	.355	22	14	.350	126	+7	+5	—	—	+7	1.9

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
Nico Perez (OGILVIE)	21	45	30	60	55	.211/.288/.321	.110	.290	4	7	29%	9%	71	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Imbewer Alvarez 2008 · A	22	47	40	51→55	46	.225/.293/.318	.094	.300	7	17	26%	8%	72	-0.2	.201/.260/.278	.077	.307	5	12	34%	6%	47	-1.9	.135/.182/.184	.049	.223	4	5	40%	2%	-12	-1.0
✕Maximo Rivera 2014 · A	21	45	40→45	53→60	43	.219/.272/.307	.089	.279	8	21	24%	6%	59	-1.1	.213/.262/.283	.070	.295	4	11	27%	6%	49	-1.8	.198/.239/.245	.047	.274	3	7	27%	5%	25	-0.9
✕Wes Rogers 2015 · A	21	45→51	41→40	57→65	42	.218/.272/.315	.097	.296	8	17	29%	6%	61	-1.0	.220/.277/.307	.087	.292	5	34	25%	6%	62	-0.9	.224/.282/.314	.089	.295	5	42	24%	6%	63	-0.7
✕Jenner Emeterio 2014 · A	21	45	36→30	54→60	51	.210/.290/.269	.060	.280	4	23	25%	10%	59	-1.1	.222/.308/.288	.066	.293	2	21	22%	10%	71	-0.3	.235/.336/.301	.066	.302	0	28	19%	12%	85	+0.3
●Leo Rivas 2019 · A	21	44→54	37→40	52→65	51	.204/.293/.279	.075	.289	4	14	28%	10%	62	-0.9	.196/.276/.281	.085	.293	6	9	32%	9%	56	-1.3	.238/.354/.331	.093	.320	9	44	25%	14%	100	+1.2
✕Johan Rojas 2022 · A	21	45→55	44→45	55→65	43	.221/.274/.341	.120	.281	11	21	25%	6%	69	-0.4	.232/.276/.342	.110	.293	9	36	23%	5%	70	-0.3	.258/.299/.360	.102	.324	7	41	22%	5%	80	+0.3
✕Juan Mora 2022 · A	22	46	44→45	55	46	.222/.297/.343	.121	.288	11	15	26%	8%	81	+0.4	.226/.283/.335	.109	.306	10	9	28%	5%	72	-0.2	.220/.277/.325	.105	.292	10	8	27%	5%	65	-0.3
✕Cayden Wallace 2023 · A	21	46→43	43→45	56→50	42	.224/.277/.340	.116	.301	9	15	28%	6%	70	-0.3	.218/.275/.336	.118	.288	10	12	27%	6%	69	-0.4	.212/.270/.327	.116	.280	10	13	27%	6%	62	-0.6
✕Frank Frias 2015 · A	21	49	37→40	54→55	44	.226/.292/.302	.077	.316	4	18	28%	7%	67	-0.5	.224/.294/.325	.101	.343	8	10	34%	8%	74	-0.1	.212/.302/.345	.133	.356	14	5	40%	10%	79	+0.1
●Lou Marson 2007 · A	21	44→54	40	53→50	44	.211/.271/.304	.093	.282	6	6	27%	7%	58	-1.2	.248/.316/.343	.095	.329	7	4	24%	9%	88	+0.9	.265/.339/.354	.089	.347	6	4	23%	9%	97	+1.1
✕Efrain Contreras 2008 · A	21	47	44→45	53→55	45	.232/.297/.346	.114	.275	12	15	20%	6%	82	+0.5	.215/.274/.310	.095	.277	8	11	24%	5%	62	-0.9	.185/.240/.257	.072	.258	6	6	29%	5%	31	-1.1
✕Ramon Soto 2009 · AAA	21	44	42→30	51→45	44	.220/.275/.323	.103	.279	11	12	25%	6%	66	-0.6	.233/.277/.301	.068	.286	5	8	19%	5%	59	-1.1	.272/.316/.326	.054	.333	2	7	18%	5%	78	+0.1
✕Mark Zagunis 2015 · A	22	48→53	41→45	55→50	47	.227/.299/.337	.110	.295	7	14	24%	8%	79	+0.3	.237/.325/.365	.128	.306	11	9	24%	10%	98	+1.6	.233/.329/.369	.136	.303	12	8	25%	10%	98	+1.2
✕Christian Cairo 2022 · A	21	39→47	40	52→60	45	.186/.279/.272	.086	.285	7	15	34%	9%	56	-1.3	.195/.294/.278	.083	.290	6	17	31%	11%	63	-0.8	.215/.301/.289	.073	.310	4	35	29%	9%	66	-0.3
✕Dalton Pompey 2014 · A	21	44→54	40→45	57→55	46	.212/.280/.309	.097	.289	6	21	28%	8%	63	-0.8	.250/.309/.355	.105	.324	7	26	23%	7%	87	+0.8	.260/.318/.360	.100	.329	7	29	22%	7%	88	+0.8
✕Nacho Alvarez Jr. 2023 · A	20	49→51	39→40	54→50	55	.233/.320/.324	.091	.289	6	13	20%	10%	85	+0.7	.236/.309/.326	.090	.301	8	14	23%	8%	81	+0.4	.235/.310/.323	.088	.300	8	14	23%	8%	77	+0.1
●Maikel Garcia 2022 · A	22	50→56	39→45	58→60	50	.237/.300/.330	.093	.298	5	21	21%	8%	77	+0.1	.243/.299/.343	.100	.308	7	27	22%	7%	80	+0.4	.251/.312/.364	.113	.295	9	27	17%	8%	88	+1.0
✕Ronarsy Ledesma 2013 · A	20	49	40→45	51→50	44	.231/.300/.334	.103	.298	6	13	23%	6%	79	+0.3	.214/.266/.312	.098	.287	6	10	26%	5%	59	-1.1	.194/.236/.286	.092	.269	8	8	30%	4%	36	-0.9
✕Tyler Goeddel 2014 · A	21	44→49	40→45	59→55	41	.210/.263/.309	.099	.290	7	20	29%	6%	56	-1.3	.223/.279/.336	.113	.300	9	18	27%	6%	70	-0.3	.225/.286/.343	.117	.296	10	18	26%	7%	72	-0.1
✕Kelby Tomlinson 2012 · A	22	49→59	40	55→60	44	.234/.284/.337	.103	.297	6	13	23%	6%	72	-0.2	.216/.269/.274	.058	.292	2	21	25%	6%	49	-1.8	.274/.334/.339	.065	.334	3	24	17%	7%	89	+0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)