Luis González — OGILVIE

Luis GonzálezRF Scranton/Wilkes-Barre RailRiders

Age 30 L/L 5'11" / 185 lbs AAA HR +8%BB +8% Svc 4.000 · Ctrl thru 2027

wRC+†78

AVG/OBP/SLG.222 / .289 / .347

PA200

HR4

SB5

K%27

BB%7

xwOBA.272

Barrel%2.5%

MLB%10%

Scouting · now → future

PWR

37→37

SPD

62→62

EYE

58→58

trajectory · 10 yrs

-0.2peak

2026

Barrel%

102.5

xwOBA

190.272

Avg EV

2086.8

Whiff%

590.100

Chase%

670.283

Speed

6828.2

Contract

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

Status Arb-2

MLB Debut 2022

Service 4.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-2	$0.4M	—	—	—
2027	Arb-3	$0.6M	—	—	—
Totals		$-3M		$-3M	+$0.0M

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
2017	21	A	2 teams	299	267	48	10	3	2	25	71	3	2	3	.180	.258	.262	.520	.082	.236	24	8	.235	38	-21	-1	+0	-3	+8	-1.7
2018	22	A+	2 teams	543	502	126	33	3	12	29	146	3	10	7	.251	.296	.400	.696	.149	.324	27	5	.297	86	-9	-1	+0	-6	+15	-0.0
2019	23	AA	Birmingham Barons	535	486	101	15	2	9	34	115	5	17	9	.208	.267	.302	.569	.095	.247	21	6	.252	51	-30	-0	+0	-6	+15	-2.1
2021	25	AAA	Charlotte Knights	163	144	29	3	0	5	15	49	2	9	2	.201	.286	.326	.612	.125	.264	30	9	.275	69	-6	+1	+1	-2	+5	-0.1
2022	26	MLB	2 teams	442	391	97	17	2	9	41	104	4	14	4	.248	.326	.371	.697	.123	.310	24	9	.302	89	-5	+1	-5	-5	+13	-0.2
2023	27	AAA	Sacramento River Cats	110	98	22	4	1	1	9	24	2	6	2	.224	.303	.316	.619	.092	.284	22	8	.274	68	-4	+0	+0	-1	+3	-0.2
2024	28	AAA	2 teams	169	149	37	7	4	0	13	54	4	5	0	.248	.325	.349	.674	.101	.381	32	8	.298	86	-3	+1	+0	-2	+5	0.1
▸ 2026 Season
2026	30	MLB	NYY	200	181	40	8	1	4	14	54	3	5	1	.221	.288	.343	.630	.122	.291	27	7	.288	78	-5	+1	-1	-2	+6	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 20%	NYY	185	168	37	7	1	4	13	50	2	4	1	.220	.284	.345	.629	.125	.290	27	7	.284	75	-5	+0	-4	-2	+5	-0.6
2028	32	MLB 33%	NYY	166	151	32	6	1	3	12	46	2	2	0	.212	.279	.325	.603	.113	.289	28	7	.279	72	-5	+0	-5	-2	+5	-0.7
2029	33	MLB 43%	NYY	136	123	26	5	1	2	10	39	2	2	0	.211	.281	.317	.599	.106	.287	29	7	.274	68	-5	+0	-5	-1	+4	-0.7
2030	34	MLB 52%	NYY	96	88	19	3	1	2	7	28	1	1	0	.216	.281	.341	.622	.125	.285	29	7	.268	63	-4	+0	-6	-1	+3	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			3044	2748	614	118	20	53	222	780	33	77	29	.223	.289	.339	.628	.115	.288	26	7	.277	70	-101	+4	-26	-33	+86	-7.1
/ 162G	—			650	587	130	25	4	11	47	167	7	16	6	.221	.287	.334	.621	.112	.286	26	7	.277	70	-22	+1	-5	-7	+18	-1.5

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
2017	21	A	Kannapolis Intimidators	277	233	57	13	4	2	38	50	3	2	3	.245	.358	.361	.718	.116	.302	18	14	.326	108	+2	-1	—	—	+8	1.0
2017	21	ROK	Great Falls Voyagers	22	17	2	1	0	0	4	3	0	0	0	.118	.286	.176	.462	.059	.143	14	18	.226	31	-2	+0	—	—	+1	-0.1
2018	22	A+	Winston-Salem Dash	288	252	79	24	3	6	27	46	2	3	5	.313	.383	.504	.887	.190	.354	16	9	.382	151	+16	-1	—	—	+8	2.4
2018	22	A	Kannapolis Intimidators	255	230	69	16	2	8	21	57	1	7	2	.300	.361	.491	.852	.191	.365	22	8	.371	142	+12	+1	—	—	+7	2.0
2019	23	AA	Birmingham Barons	535	473	117	18	4	9	47	89	5	17	9	.247	.322	.359	.681	.112	.281	17	9	.304	91	-6	-0	—	—	+15	1.0
2021	25	AAA	Charlotte Knights	163	137	33	4	0	7	22	41	2	9	2	.241	.354	.423	.777	.182	.289	25	13	.346	123	+4	+1	—	—	+5	1.0
2022	26	MLB	San Francisco Giants	350	311	78	17	2	4	30	75	4	10	2	.251	.325	.357	.682	.106	.312	21	9	.306	92	-3	+1	-5	-5	+10	-0.2
2022	26	AAA	Sacramento River Cats	92	76	22	1	0	6	15	22	0	4	2	.289	.407	.539	.946	.250	.327	24	16	.411	173	+8	+0	—	—	+3	1.0
2023	27	AAA	Sacramento River Cats	110	94	24	5	1	1	13	20	2	6	2	.255	.358	.362	.720	.106	.311	18	12	.328	109	+1	+0	—	—	+3	0.5
2024	28	AAA	Scranton/Wilkes-Barre RailRiders	91	78	22	5	2	0	10	24	2	3	0	.282	.378	.397	.775	.115	.400	26	11	.348	125	+3	+1	—	—	+3	0.6
2024	28	INTL	Naranjeros de Hermosillo	78	69	23	3	0	3	5	9	2	2	0	.333	.395	.507	.902	.174	.345	12	6	.390	157	+5	+0	—	—	+2	0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			350	311	78	17	2	4	30	75	4	10	2	.251	.325	.357	.682	.106	.312	21	9	.306	92	-3	+1	-5	-5	+10	-0.2

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
Luis González (OGILVIE)	30	—	37	62	58	.222/.289/.347	.125	.291	4	5	27%	7%	78	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daniel Nunez 2013 · AAA	31	50→51	41→30	53→50	47	.232/.317/.335	.103	.315	7	17	26%	8%	87	+0.8	.243/.314/.326	.083	.306	6	13	21%	7%	83	+0.6	.243/.310/.306	.063	.302	4	10	19%	6%	73	-0.1
✕Anthony Seratelli 2013 · AAA	30	47→48	44→45	54→55	47	.229/.294/.340	.111	.293	12	21	26%	8%	78	+0.2	.230/.302/.345	.115	.298	12	20	25%	9%	83	+0.6	.223/.305/.327	.104	.292	10	21	25%	10%	78	+0.1
✕Nate Spears 2014 · AAA	29	42→52	43→45	51→50	48	.206/.277/.318	.111	.262	10	11	25%	8%	65	-0.7	.225/.278/.337	.112	.305	10	12	28%	7%	70	-0.3	.250/.286/.356	.107	.354	7	13	30%	5%	77	+0.0
✕Tyler Saladino 2019 · MLB	30	46	43→45	50→55	46	.226/.288/.333	.106	.286	11	16	24%	7%	73	-0.1	.218/.288/.375	.157	.282	19	14	29%	8%	85	+0.7	.199/.273/.380	.181	.248	24	14	30%	8%	77	+0.1
✕Cole Sturgeon 2022 · AAA	30	48→49	46→45	49→50	40	.237/.286/.366	.129	.310	13	10	27%	5%	81	+0.4	.217/.270/.324	.107	.260	11	12	21%	6%	63	-0.8	.208/.262/.302	.094	.247	10	11	20%	6%	51	-1.3
✕Kristopher Negrón 2016 · MLB	30	43→50	41→45	52→55	41	.210/.264/.309	.099	.275	9	14	27%	5%	57	-1.2	.219/.273/.336	.117	.292	11	17	28%	5%	68	-0.5	.225/.289/.349	.123	.323	14	14	32%	7%	74	-0.0
✕Josh Prince 2018 · AA	30	44→46	43→40	50→60	44	.215/.273/.321	.107	.283	10	16	27%	7%	64	-0.8	.232/.299/.347	.115	.329	11	14	30%	8%	82	+0.5	.231/.306/.335	.104	.330	10	15	30%	10%	79	+0.2
✕Sherman Johnson 2019 · AAA	29	42→50	42→45	51→50	48	.206/.281/.310	.104	.272	9	13	26%	9%	65	-0.7	.204/.278/.309	.105	.286	9	10	29%	9%	63	-0.8	.178/.271/.272	.094	.251	8	7	30%	10%	48	-0.8
✕Jason Repko 2011 · MLB	30	46→48	46→50	53→55	44	.229/.291/.358	.129	.286	14	20	25%	6%	82	+0.5	.220/.277/.343	.123	.281	14	18	26%	6%	72	-0.2	.198/.255/.311	.113	.257	13	18	27%	6%	51	-0.6
✕Jason Pridie 2014 · MLB	30	46→53	46→50	53→55	42	.231/.279/.360	.129	.297	13	10	27%	6%	76	+0.1	.238/.285/.377	.139	.295	16	19	24%	6%	83	+0.6	.243/.290/.386	.144	.292	17	24	23%	6%	86	+0.6
✕Matthew den Dekker 2018 · MLB	30	40→50	45→50	51→55	41	.203/.258/.328	.125	.267	13	17	29%	6%	59	-1.1	.215/.258/.360	.145	.298	15	14	32%	5%	68	-0.5	.209/.246/.367	.157	.289	17	11	33%	5%	61	-0.6
✕Garrett Stubbs 2022 · MLB	29	44	43→45	53→50	52	.214/.296/.324	.109	.266	10	16	23%	10%	76	+0.0	.227/.306/.345	.118	.294	12	12	25%	10%	85	+0.7	.219/.302/.318	.099	.288	9	12	25%	9%	72	-0.0
✕Jeff Salazar 2011 · MLB	30	43→51	45→50	57→55	47	.218/.274/.333	.115	.255	13	21	21%	7%	68	-0.5	.207/.271/.322	.115	.257	13	22	24%	8%	63	-0.8	.191/.266/.298	.107	.242	13	24	26%	9%	52	-0.8
✕Francisco Rivera 2019 · AAA	30	45	40	48→40	47	.218/.268/.308	.090	.260	7	8	19%	6%	58	-1.2	.245/.296/.360	.115	.288	14	6	19%	7%	84	+0.6	.255/.307/.354	.099	.295	14	2	18%	7%	85	+0.4
✕George Lombard 2005 · MLB	29	48→44	47→50	56→55	45	.236/.294/.373	.137	.301	14	19	26%	7%	86	+0.8	.228/.299/.388	.160	.314	18	22	31%	8%	92	+1.2	.220/.294/.374	.154	.306	17	27	32%	8%	85	+0.4
✕Jonathan Davis 2022 · MLB	30	41→51	45	52→55	47	.202/.302/.325	.123	.271	12	19	28%	9%	79	+0.3	.222/.307/.336	.114	.302	10	22	28%	9%	83	+0.6	.221/.303/.332	.112	.308	10	22	29%	9%	76	+0.0
✕Nolan Fontana 2019 · MLB	28	40→43	42→40	51→50	49	.195/.279/.303	.108	.267	9	12	29%	10%	63	-0.9	.201/.288/.323	.122	.291	12	10	32%	10%	72	-0.2	.122/.235/.206	.084	.191	10	0	38%	11%	20	-0.8
✕Eric Patterson 2013 · MLB	30	43→53	43→50	58→60	47	.209/.274/.323	.114	.270	10	23	25%	8%	65	-0.7	.210/.276/.302	.092	.276	8	15	25%	8%	60	-1.0	.169/.230/.195	.026	.229	0	8	24%	7%	10	-0.8
✕Adam Shabala 2007 · MLB	29	46→44	44→45	49→50	47	.228/.289/.348	.120	.287	11	12	24%	8%	78	+0.2	.212/.281/.307	.095	.289	8	13	27%	9%	64	-0.8	.186/.265/.251	.065	.261	6	13	28%	9%	40	-1.6
✕Steven Duggar 2023 · MLB	29	44→54	45	59→55	42	.211/.281/.341	.129	.322	12	21	36%	8%	72	-0.2	.202/.282/.328	.126	.339	14	14	40%	10%	70	-0.3	.169/.265/.281	.111	.297	14	9	44%	11%	50	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)