Nicky Lopez — OGILVIE

Nicky Lopez3B Albuquerque Isotopes

Age 31 L/R 5'10" / 186 lbs AAA H +10%K -4% Svc 7.000 · Ctrl thru 2026 peak 0.6 · 2026

wRC+†vL 3079vR 82

AVG/OBP/SLG.226 / .301 / .291

PA370

HR2

SB8

K%15

BB%8

MLB%45%

Scouting · now → future

HIT

45→45

PWR

35→35

SPD

50→50

EYE

49↗50

trajectory · 10 yrs

0.0peak

2027

Contract

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

Status FA

MLB Debut 2019

Service 7.000 yrs.days

Team Control Through 2026

First FA Year 2027

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.6	$2M	+$1M
Totals		$1M		$2M	+$1M

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
2016	21	ROK	Burlington Royals	283	244	58	5	4	5	22	43	10	24	4	.238	.326	.352	.679	.115	.265	15	8	.295	84	-5	+3	+0	+1	+8	0.7
2017	22	A+	3 teams	667	618	154	18	8	2	39	83	4	24	14	.249	.298	.314	.612	.065	.285	12	6	.269	64	-27	-1	+0	+2	+19	-0.6
2018	23	AA	2 teams	581	523	146	12	7	7	41	68	3	15	6	.279	.335	.369	.704	.090	.308	12	7	.305	92	-5	+1	+0	+2	+16	1.4
2019	24	MLB	2 teams	540	502	127	26	3	5	31	58	3	10	4	.253	.300	.347	.647	.094	.278	11	6	.284	75	-15	+0	+2	+2	+15	0.5
2020	25	MLB	Kansas City Royals	192	169	32	8	0	1	18	41	2	0	5	.189	.275	.254	.530	.065	.244	21	9	.243	44	-12	-2	+5	+1	+5	-0.3
2021	26	MLB	Kansas City Royals	565	497	145	20	5	2	49	74	4	22	1	.292	.360	.364	.724	.072	.337	13	9	.318	101	+1	+4	+24	+6	+16	5.2
2022	27	MLB	Kansas City Royals	480	436	95	12	3	0	29	63	4	13	3	.218	.273	.259	.532	.041	.254	13	6	.240	42	-31	+1	+12	+2	+14	-0.3
2023	28	MLB	Atlanta Braves	262	225	50	8	2	1	26	40	6	6	2	.222	.319	.289	.608	.067	.265	15	10	.276	69	-9	+0	+8	+1	+7	0.7
2024	29	MLB	Chicago White Sox	445	398	95	12	4	1	37	67	4	5	7	.239	.310	.296	.606	.058	.285	15	8	.275	68	-16	-2	+5	+2	+13	0.2
2025	30	AAA	2 teams	329	292	70	9	3	0	27	49	4	7	4	.240	.313	.291	.604	.051	.281	15	8	.275	69	-12	-0	+1	+1	+9	-0.1
▸ 2026 Season (actual · ROS · total)
2026	31	AAA	Albuquerque Isotopes	62	56	16	4	1	1	4	9	0	2	1	.286	.333	.446	.780	.161	.312	15	6	.326	108	+1	+0	+0	+0	+2	0.3
ROS	31	MLB	COL	308	277	65	10	3	2	25	47	3	6	2	.235	.305	.314	.619	.079	.273	15	8	.281	73	-9	+0	+3	+1	+9	0.3
TOT	31	MLB	COL	370	333	81	14	4	3	29	56	3	8	3	.243	.310	.336	.646	.093	.281	15	8	.288	79	-9	+0	+3	+1	+10	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 54%	COL	351	314	74	12	3	2	30	49	4	5	2	.236	.310	.312	.622	.076	.271	14	9	.283	75	-10	+0	-1	+1	+10	0.1
2028	33	MLB 65%	COL	321	288	66	10	3	1	27	47	3	4	1	.229	.302	.295	.597	.066	.269	15	8	.277	71	-11	+0	-2	+1	+9	-0.2
2029	34	MLB 74%	COL	277	249	58	9	3	1	23	43	3	2	1	.233	.305	.305	.611	.072	.268	16	8	.271	66	-11	+0	-3	+1	+8	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5601	5032	1235	171	51	30	424	772	57	143	56	.245	.311	.318	.629	.072	.283	14	8	.280	73	-173	+6	+54	+24	+159	7.2
/ 162G	—			650	584	143	20	6	3	49	90	7	17	6	.245	.311	.315	.626	.070	.283	14	8	.280	73	-20	+1	+6	+3	+18	0.9

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
2016	21	ROK	Burlington Royals	283	231	65	6	5	6	35	30	10	24	4	.281	.399	.429	.827	.147	.296	11	12	.366	138	+12	+3	—	—	+8	2.4
2017	22	AA	Northwest Arkansas Naturals	253	232	60	6	1	0	16	29	2	7	4	.259	.312	.293	.605	.034	.296	11	6	.276	70	-9	-0	—	—	+7	-0.2
2017	22	A+	Wilmington Blue Rocks	324	285	84	12	7	2	36	23	1	14	8	.295	.376	.407	.783	.112	.315	7	11	.351	127	+10	-0	—	—	+9	1.9
2017	22	INTL	Surprise Saguaros	90	81	31	5	2	2	7	14	1	3	2	.383	.438	.568	1.006	.185	.439	16	8	.437	193	+9	-0	—	—	+3	1.2
2018	23	AAA	Omaha Storm Chasers	256	223	62	6	2	7	27	29	3	6	2	.278	.364	.417	.781	.139	.294	11	11	.348	124	+7	+0	—	—	+7	1.5
2018	23	AA	Northwest Arkansas Naturals	325	281	93	8	5	2	33	23	0	9	4	.331	.401	.416	.818	.085	.351	7	10	.357	132	+12	+0	—	—	+9	2.1
2019	24	MLB	Kansas City Royals	402	379	91	22	2	2	18	51	1	1	1	.240	.276	.325	.601	.084	.273	13	4	.268	63	-17	-0	+2	+2	+11	-0.1
2019	24	AAA	Omaha Storm Chasers	138	116	41	6	1	3	20	5	2	9	3	.353	.457	.500	.957	.147	.352	4	14	.428	186	+13	+1	—	—	+4	1.8
2020	25	MLB	Kansas City Royals	192	169	34	8	0	1	18	41	2	0	5	.201	.286	.266	.552	.065	.260	21	9	.255	54	-10	-2	+5	+1	+5	-0.1
2021	26	MLB	Kansas City Royals	565	497	149	21	6	2	49	74	4	22	1	.300	.367	.378	.746	.078	.347	13	9	.330	111	+7	+4	+24	+6	+16	5.8
2022	27	MLB	Kansas City Royals	480	436	99	12	4	0	29	63	4	13	3	.227	.281	.273	.554	.046	.265	13	6	.250	50	-27	+1	+12	+2	+14	0.1
2023	28	MLB	Atlanta Braves	262	225	52	8	3	1	26	40	6	6	2	.231	.327	.307	.634	.076	.276	15	10	.290	80	-6	+0	+8	+1	+7	1.1
2024	29	MLB	Chicago White Sox	445	398	96	12	3	1	37	67	4	5	7	.241	.312	.294	.606	.053	.288	15	8	.277	71	-15	-2	+5	+2	+13	0.3
2025	30	MLB	Chicago Cubs	28	24	1	0	0	0	4	4	0	0	0	.042	.179	.042	.220	.000	.050	14	14	.132	-41	-4	+0	+1	+1	+1	-0.2
2025	30	AAA	Iowa Cubs	301	258	69	11	3	0	33	37	4	7	4	.267	.359	.333	.693	.066	.304	12	11	.315	99	-0	-0	—	—	+9	0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2374	2128	522	83	18	7	181	340	21	47	19	.245	.311	.311	.622	.066	.288	14	8	.281	73	-72	+2	+57	+14	+67	6.9

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
Nicky Lopez (OGILVIE)	31	45	35	50	50	.226/.301/.291	.065	.268	2	6	15%	8%	69	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonathan Diaz 2016 · MLB	31	45→48	36→30	47→50	49	.212/.284/.280	.068	.262	3	10	19%	8%	58	-1.2	.205/.284/.272	.067	.258	5	8	21%	9%	56	-1.3	.190/.282/.238	.049	.243	3	5	21%	10%	45	-1.0
✕Skyler Stromsmoe 2015 · AAA	31	46	37→40	47→50	50	.216/.296/.289	.073	.271	3	14	20%	8%	66	-0.6	.219/.295/.299	.080	.273	4	12	20%	8%	68	-0.5	.216/.294/.278	.062	.267	0	8	17%	8%	58	-0.3
✕Hector Hernandez 2014 · AAA	31	52→51	38→40	48→50	43	.245/.270/.323	.078	.277	5	8	14%	3%	61	-1.0	.228/.256/.304	.076	.253	6	8	13%	4%	51	-1.7	.268/.303/.323	.055	.304	3	3	13%	4%	74	-0.0
✕Sergio Palafox 2011 · AAA	31	51	38→40	46→45	50	.239/.293/.318	.079	.272	5	10	14%	7%	71	-0.3	.220/.269/.305	.085	.255	6	10	16%	6%	57	-1.2	.236/.270/.284	.048	.277	2	8	15%	3%	48	-0.4
✕Gerson Manzanillo 2017 · AAA	31	50	38→30	45→50	45	.238/.280/.307	.069	.274	6	12	16%	5%	63	-0.9	.247/.281/.325	.078	.291	5	14	16%	4%	67	-0.5	.255/.280/.319	.064	.303	3	13	17%	2%	60	-0.5
✕Hernan Iribarren 2015 · AAA	31	49→59	36→40	51→55	46	.233/.282/.301	.068	.291	3	13	21%	6%	61	-1.0	.250/.291/.319	.069	.305	4	7	18%	5%	69	-0.4	.270/.303/.345	.075	.327	3	3	18%	5%	78	+0.1
✕Jason Ellison 2009 · MLB	31	49→54	38→40	46→50	49	.232/.294/.311	.079	.279	4	14	18%	7%	69	-0.4	.224/.283/.301	.077	.277	6	14	20%	7%	63	-0.9	.229/.285/.292	.063	.284	5	15	20%	6%	58	-1.0
✕Tony Gwynn Jr. 2015 · MLB	32	48→57	36→40	49→60	51	.224/.289/.290	.066	.274	4	17	19%	8%	63	-0.9	.221/.284/.299	.078	.255	5	14	14%	7%	63	-0.9	.222/.279/.286	.064	.250	1	14	11%	6%	53	-0.9
✕Juan Centeno 2021 · MLB	31	45	40→45	47→40	45	.219/.272/.309	.090	.260	8	6	19%	6%	60	-1.0	.236/.281/.350	.114	.289	11	5	22%	5%	75	-0.0	.234/.276/.339	.104	.299	10	3	24%	5%	65	-0.3
✕Munenori Kawasaki 2014 · MLB	33	48→54	37→30	53→50	56	.222/.308/.293	.071	.261	4	14	16%	10%	72	-0.2	.236/.304/.300	.064	.289	3	12	18%	8%	71	-0.3	.240/.303/.290	.050	.299	1	16	18%	8%	67	-0.3
✕Matt Erickson 2007 · AAA	32	50	37→40	46→45	46	.235/.296/.304	.069	.286	5	8	19%	6%	69	-0.4	.242/.300/.324	.082	.294	5	9	18%	6%	76	+0.0	.265/.322/.335	.070	.319	2	6	16%	6%	85	+0.3
✕Johnny Raburn 2010 · AAA	31	47→56	36→30	52→55	50	.220/.279/.286	.066	.261	4	16	17%	8%	57	-1.2	.226/.291/.319	.093	.270	7	11	18%	8%	71	-0.3	.223/.294/.317	.094	.266	7	8	18%	9%	74	-0.0
✕Logan Schafer 2017 · MLB	30	46→56	39→45	49→50	48	.217/.276/.307	.089	.262	6	8	19%	7%	61	-1.0	.225/.278/.314	.089	.272	7	8	19%	6%	64	-0.8	.224/.274/.300	.077	.271	4	6	18%	6%	56	-0.9
✕Ramon Valdez 2008 · AAA	31	56	37→30	46→55	48	.261/.317/.335	.074	.305	3	12	15%	6%	85	+0.7	.245/.299/.320	.075	.298	5	16	18%	6%	74	-0.1	.260/.336/.319	.059	.297	2	26	12%	7%	86	+0.3
✕Rodrigo Aguirre 2014 · AAA	30	54	35→30	46→45	44	.255/.288/.313	.059	.299	3	8	16%	4%	66	-0.6	.258/.291/.346	.088	.290	8	8	13%	4%	77	+0.1	.275/.305/.361	.087	.290	9	2	9%	4%	85	+0.3
●Eric Sogard 2017 · MLB	31	50→58	37→45	50→55	52	.234/.293/.305	.070	.262	5	13	13%	7%	67	-0.5	.248/.332/.358	.110	.285	9	10	15%	11%	98	+1.6	.255/.340/.377	.121	.290	11	10	15%	11%	103	+1.2
✕Dean Anna 2018 · AAA	31	49→56	37→45	43→45	51	.231/.295/.306	.075	.271	5	7	16%	8%	69	-0.4	.242/.308/.319	.077	.282	4	9	15%	7%	78	+0.2	.251/.325/.315	.064	.292	1	9	13%	7%	82	+0.4
✕Tyler Ladendorf 2019 · MLB	31	43→49	38→40	45→50	45	.205/.259/.282	.078	.254	6	8	22%	6%	48	-1.9	.209/.263/.314	.105	.272	10	8	26%	6%	58	-1.2	.192/.237/.331	.139	.245	18	2	30%	4%	50	-0.6
✕Dixon Machado 2023 · MLB	31	51→55	39→45	48→55	49	.244/.306/.332	.088	.287	7	10	17%	7%	80	+0.4	.222/.302/.313	.091	.269	9	7	20%	9%	75	-0.0	.201/.296/.278	.077	.247	8	4	20%	11%	62	-0.4
✕Jake Elmore 2018 · MLB	31	47→57	35→40	46→55	53	.220/.295/.273	.053	.264	4	15	17%	9%	61	-1.0	.245/.309/.323	.078	.296	5	12	18%	8%	79	+0.3	.263/.324/.345	.082	.315	4	8	17%	7%	89	+0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)