Oswaldo Cabrera — OGILVIE

Oswaldo Cabrera3B Scranton/Wilkes-Barre RailRiders

INJURED · Reassigned to Minors (RM)

Age 27 S/R 6'0" / 200 lbs AAA HR +8%BB +8% Svc 3.291 · Ctrl thru 2028

wRC+†vL -198vR 20

AVG/OBP/SLG.228 / .293 / .331

PA111

HR2

K%21

BB%8

xwOBA.284

Barrel%0.0%

MLB%55%

Scouting · now → future

HIT

50→50

PWR

35→35

SPD

45→45

EYE

45↗50

trajectory · 10 yrs

0.1peak

2026

Contract

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

Status Arb-1

MLB Debut 2022

Service 3.291 yrs.days

Team Control Through 2028

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$1M	—	—	—
2027	Arb-2	$0.4M	—	—	—
2028	Arb-3	$0.6M	—	—	—
Totals		$-5M		$-5M	+$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
2016	17	ROK	Pulaski Yankees	218	202	55	11	3	3	9	30	4	7	3	.272	.316	.401	.717	.129	.304	14	4	.310	95	-1	+0	+0	+1	+6	0.6
2017	18	A	Charleston RiverDogs	353	329	68	9	0	4	15	62	1	6	0	.207	.243	.271	.514	.064	.240	18	4	.222	28	-29	+1	+0	+1	+10	-1.7
2018	19	A	Charleston RiverDogs	526	497	97	20	1	6	16	87	3	4	9	.195	.225	.276	.500	.080	.222	17	3	.214	22	-46	-3	+0	+2	+15	-3.3
2019	20	A+	Tampa Tarpons	493	460	93	25	0	7	23	150	2	10	8	.202	.243	.302	.545	.100	.278	30	5	.238	40	-33	-1	+0	+2	+14	-1.9
2021	22	AA	2 teams	514	481	111	28	2	24	27	159	1	21	5	.231	.273	.447	.720	.216	.289	31	5	.302	90	-6	+2	+0	+2	+15	1.3
2022	23	AAA	2 teams	379	344	79	18	4	12	27	110	3	13	5	.230	.291	.410	.701	.180	.299	29	7	.302	89	-5	+1	+4	-4	+11	0.6
2023	24	MLB	3 teams	474	427	90	16	0	8	36	104	5	11	2	.211	.280	.304	.584	.094	.259	22	8	.255	53	-25	+1	-2	-5	+13	-1.8
2024	25	MLB	New York Yankees	326	299	75	11	0	8	21	63	1	4	2	.251	.302	.368	.670	.117	.290	19	6	.295	84	-6	+0	+2	+1	+9	0.7
2025	26	MLB	New York Yankees	122	107	28	5	0	1	11	25	2	0	1	.262	.342	.336	.678	.075	.329	20	9	.291	81	-3	-0	-1	+0	+3	0.0
▸ 2026 Season (actual · ROS · total)
2026	27	AAA	Scranton/Wilkes-Barre RailRiders	85	80	11	0	1	2	4	26	0	2	0	.138	.179	.237	.416	.100	.170	31	5	.173	-9	-11	+0	+0	+0	+2	-0.8
ROS	27	MLB	NYY	26	24	6	1	0	1	2	6	0	0	0	.250	.308	.417	.724	.167	.259	23	8	.268	63	-1	+0	+0	+0	+1	-0.0
TOT	27	MLB	NYY	111	104	17	1	1	3	6	32	0	2	0	.163	.209	.279	.488	.115	.200	29	5	.195	8	-12	+0	+0	+0	+3	-0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 66%	NYY	333	302	64	9	1	6	26	58	2	5	1	.212	.279	.308	.587	.096	.244	17	8	.271	66	-13	+1	+0	+1	+9	-0.2
2028	29	MLB 75%	NYY	348	316	68	10	1	7	27	61	2	5	1	.215	.281	.320	.601	.104	.243	18	8	.269	64	-14	+1	-1	+1	+10	-0.3
2029	30	MLB 83%	NYY	358	325	69	10	1	7	28	64	2	4	0	.212	.279	.314	.593	.102	.242	18	8	.266	62	-15	+1	-1	+1	+10	-0.5
2030	31	MLB 89%	NYY	343	312	65	9	1	6	26	63	2	3	0	.208	.274	.301	.575	.093	.240	18	8	.262	59	-16	+1	-2	+1	+10	-0.6
2031	32	MLB 95%	NYY	324	294	61	9	1	5	25	61	2	1	0	.207	.274	.296	.570	.088	.239	19	8	.258	55	-16	+0	-3	+1	+9	-0.9
2032	33	MLB	NYY	294	268	54	7	1	5	22	57	2	0	0	.201	.267	.291	.558	.090	.237	19	7	.252	51	-16	+0	-4	+1	+8	-1.1
2033	34	MLB	NYY	251	229	46	6	1	4	19	51	1	0	0	.201	.265	.288	.553	.087	.235	20	8	.246	46	-15	+0	-4	+1	+7	-1.2
▸ Career Totals (MLE all levels + projections)
Career	—			5682	5216	1129	204	17	114	360	1211	35	94	37	.216	.272	.328	.599	.111	.258	21	6	.263	59	-261	+4	-11	+8	+161	-10.1
/ 162G	—			650	597	129	23	2	13	41	139	4	11	4	.216	.271	.327	.598	.111	.258	21	6	.263	59	-30	+1	-1	+1	+18	-1.1

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	17	ROK	Pulaski Yankees	218	197	68	15	4	4	14	21	4	7	3	.345	.400	.523	.923	.178	.368	10	6	.401	165	+16	+0	—	—	+6	2.3
2017	18	A	Charleston RiverDogs	353	318	77	11	0	4	26	46	1	6	0	.242	.301	.314	.616	.072	.268	13	7	.276	69	-12	+1	—	—	+10	-0.1
2018	19	A	Charleston RiverDogs	526	485	111	24	1	6	28	66	3	4	9	.229	.275	.320	.595	.091	.251	13	5	.264	61	-23	-3	—	—	+15	-1.2
2019	20	A+	Tampa Tarpons	493	450	117	29	0	8	33	105	2	10	8	.260	.313	.378	.691	.118	.318	21	7	.306	92	-4	-1	—	—	+14	0.9
2021	22	AAA	Scranton/Wilkes-Barre RailRiders	36	30	15	2	1	5	5	9	1	1	0	.500	.583	1.133	1.717	.633	.625	25	14	.698	393	+12	+0	—	—	+1	1.3
2021	22	AA	Somerset Patriots	478	437	112	29	1	24	36	118	0	20	5	.256	.313	.492	.805	.236	.295	25	8	.348	125	+13	+2	—	—	+14	2.9
2022	23	MLB	New York Yankees	171	154	38	8	1	6	15	44	0	3	2	.247	.314	.429	.742	.182	.305	26	9	.325	107	+1	-0	+4	-4	+5	0.6
2022	23	AAA	Scranton/Wilkes-Barre RailRiders	208	183	48	12	3	8	19	55	3	10	3	.262	.341	.492	.833	.230	.331	26	9	.361	134	+8	+1	—	—	+6	1.5
2023	24	MLB	New York Yankees	330	298	63	11	0	5	25	72	2	8	0	.211	.277	.299	.576	.087	.260	22	8	.261	58	-16	+2	-2	-5	+9	-1.3
2023	24	AAA	Scranton/Wilkes-Barre RailRiders	46	40	9	1	0	2	5	9	1	2	1	.225	.326	.400	.726	.175	.241	20	11	.328	109	+0	+0	—	—	+1	0.2
2023	24	INTL	Tiburones de La Guaira	98	86	23	3	2	0	9	12	2	1	1	.267	.351	.349	.699	.081	.311	12	9	.318	101	+0	-0	—	—	+3	0.3
2024	25	MLB	New York Yankees	326	299	74	11	0	8	21	63	1	4	2	.247	.299	.365	.664	.117	.286	19	6	.294	83	-6	+0	+2	+1	+9	0.7
2025	26	MLB	New York Yankees	122	107	26	4	0	1	11	25	2	0	1	.243	.325	.308	.633	.065	.305	20	9	.290	80	-3	-0	-1	+0	+3	0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			949	858	201	34	1	20	72	204	5	15	5	.234	.297	.346	.643	.112	.282	21	8	.288	78	-23	+1	+3	-8	+27	0.0

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
Oswaldo Cabrera (OGILVIE)	27	50	35	45	50	.228/.293/.331	.103	.275	2	2	21%	8%	76	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy González 2009 · MLB	27	45→52	42→40	42→50	48	.218/.292/.317	.099	.281	9	10	25%	8%	72	-0.2	.222/.293/.320	.098	.288	10	8	25%	9%	72	-0.2	.216/.291/.313	.097	.268	10	5	22%	9%	68	-0.3
✕Danny Muno 2016 · MLB	27	47→51	42→45	44→50	51	.229/.308/.333	.104	.288	10	11	23%	9%	82	+0.5	.218/.296/.316	.098	.300	7	10	27%	9%	72	-0.2	.206/.293/.297	.091	.299	6	8	30%	10%	64	-0.4
✕Dan Nelson 2011 · AAA	27	46→49	44→45	46→50	48	.228/.288/.344	.117	.276	11	10	22%	8%	76	+0.1	.240/.295/.347	.107	.291	10	7	20%	7%	79	+0.3	.253/.305/.346	.092	.302	7	2	18%	7%	81	+0.2
✕Kenny Perez 2009 · AAA	27	51→55	41→40	47→45	46	.246/.286/.347	.101	.285	8	8	17%	5%	75	-0.0	.245/.289/.341	.096	.290	6	6	17%	6%	75	-0.0	.247/.292/.326	.079	.293	4	2	16%	6%	71	-0.1
✕Luis Sardinas 2019 · MLB	26	50→55	40	44→55	42	.244/.277/.332	.088	.286	9	10	19%	4%	67	-0.5	.222/.264/.311	.089	.269	8	7	20%	5%	57	-1.2	.201/.246/.252	.051	.247	2	2	19%	5%	33	-1.2
✕Tomas Perez 2001 · MLB	27	47	43→45	47→40	49	.230/.291/.344	.114	.276	10	8	20%	8%	77	+0.1	.254/.311/.383	.129	.295	12	5	17%	7%	96	+1.5	.264/.320/.391	.127	.304	11	1	16%	7%	86	+0.3
✕Jan Vázquez 2018 · AAA	27	47	41→40	45	44	.225/.296/.323	.097	.299	8	9	26%	7%	75	-0.0	.220/.296/.330	.110	.300	11	7	28%	7%	77	+0.1	.177/.272/.265	.088	.252	9	0	31%	8%	50	-0.5
✕Jason Jaramillo 2010 · MLB	27	50→53	41→45	44→40	47	.244/.296/.340	.096	.290	9	3	19%	6%	78	+0.2	.224/.280/.312	.088	.273	7	5	20%	6%	64	-0.8	.209/.268/.272	.063	.262	4	3	21%	6%	46	-0.8
✕Cole Tucker 2022 · MLB	26	43→48	43→45	50→55	46	.212/.276/.327	.115	.274	11	12	26%	8%	67	-0.5	.205/.272/.298	.093	.294	8	12	30%	8%	58	-1.2	.195/.268/.269	.074	.290	5	11	32%	9%	47	-0.9
✕Bobby Hill 2005 · MLB	27	53	42→40	45	51	.253/.334/.358	.105	.295	9	7	17%	8%	100	+1.7	.244/.325/.329	.085	.308	6	4	21%	8%	89	+0.9	.239/.325/.309	.070	.315	3	2	22%	9%	80	+0.2
✕Yariel Gonzalez 2021 · AAA	27	46→53	45	42→45	44	.229/.269/.344	.115	.263	13	5	19%	5%	68	-0.5	.218/.267/.348	.130	.275	17	6	26%	6%	69	-0.4	.209/.259/.335	.126	.262	18	5	27%	6%	61	-0.6
✕Manuel Bobadilla 2011 · AAA	27	49	43→45	44→45	49	.239/.306/.348	.108	.291	10	6	21%	8%	85	+0.7	.230/.301/.328	.098	.290	9	6	22%	8%	79	+0.3	.221/.304/.314	.093	.288	9	5	25%	8%	74	-0.0
✕Mel Rojas Jr. 2017 · AAA	27	48→53	43→45	50	43	.233/.282/.346	.114	.300	10	12	25%	6%	74	-0.1	.227/.274/.352	.125	.293	12	10	26%	6%	72	-0.2	.225/.270/.346	.121	.286	13	4	26%	5%	69	-0.2
✕Nate Samson 2015 · AAA	27	47→57	43→40	47→45	45	.232/.284/.339	.107	.280	10	11	21%	6%	72	-0.2	.214/.267/.311	.097	.255	8	12	19%	6%	59	-1.1	.186/.230/.232	.047	.216	0	11	13%	5%	17	-1.1
✕Ronnie Merrill 2006 · AAA	27	44→48	42→45	48→50	47	.215/.272/.322	.107	.261	9	8	21%	7%	63	-0.8	.217/.273/.326	.109	.274	9	9	23%	6%	65	-0.7	.217/.278/.326	.108	.274	9	9	23%	7%	65	-0.6
✕Matt Antonelli 2012 · AAA	27	48→52	45	45→50	50	.234/.301/.367	.132	.277	12	9	20%	8%	88	+0.9	.225/.295/.340	.115	.277	11	9	22%	8%	79	+0.3	.173/.261/.242	.070	.215	6	3	21%	9%	37	-0.8
✕Cristhian Adames 2018 · MLB	27	47→55	42→45	43→50	46	.228/.278/.333	.104	.274	9	8	20%	6%	69	-0.4	.225/.276/.340	.115	.272	11	7	21%	6%	69	-0.4	.229/.280/.341	.112	.271	11	5	19%	7%	70	-0.2
✕Choo Freeman 2007 · MLB	27	48→49	43→45	46→45	45	.232/.285/.346	.114	.293	10	10	24%	7%	75	-0.0	.232/.289/.341	.109	.303	10	8	25%	7%	76	+0.0	.229/.289/.324	.094	.303	9	4	26%	7%	69	-0.3
✕Alejandro Gonzalez 2013 · AAA	27	50	40→45	44→50	45	.239/.307/.328	.089	.306	8	13	24%	7%	81	+0.4	.234/.304/.342	.108	.300	11	7	24%	7%	83	+0.6	.233/.306/.338	.106	.301	11	4	25%	7%	79	+0.2
✕Michael Papierski 2023 · MLB	27	41	42→40	38→40	50	.200/.286/.300	.100	.257	10	4	25%	9%	66	-0.6	.211/.290/.320	.109	.273	11	4	25%	9%	72	-0.2	.206/.291/.312	.106	.268	11	1	26%	10%	69	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)