Andruw Salcedo — OGILVIE

Andruw SalcedoC ACL Mariners

Age 23 S/R 5'11" / 221 lbs ROK HR +3% Svc 0.0 · Ctrl thru 2037 peak 1.1 · 2030

wRC+†58

AVG/OBP/SLG.203 / .268 / .303

PA104

HR2

K%31

BB%7

MLB%0%

trajectory · 10 yrs

1.1peak

2030

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
2026	MiLB	still in minors · estimated debut 2032
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	Ext / FA-deal	$0.9M	+0.9	$4M	+$3M
2033	Ext / FA-deal	$1.0M	+0.7	$3M	+$2M
2034	Ext / FA-deal	$1.0M	+0.4	$2M	+$1M
2035	Ext / FA-deal	$0.2M	+0.1	$0.5M	+$0.3M
2036	Ext / FA-deal	$0.4M	—	—	—
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$8M	+$3M

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
2021	18	ROK	ACL Reds	111	98	24	3	0	2	8	45	5	0	0	.245	.333	.337	.670	.092	.431	41	7	.303	90	-1	+0	+0	+2	+3	0.4
2022	19	ROK	2 teams	126	112	15	1	0	0	11	49	2	0	0	.134	.224	.143	.367	.009	.234	39	9	.180	-4	-15	+0	+0	+2	+4	-0.9
2023	20	A	2 teams	66	62	6	1	0	0	2	24	0	0	0	.097	.125	.113	.238	.016	.150	36	3	.135	-38	-10	+0	+0	+1	+2	-0.7
2024	21	A	Daytona Tortugas	20	17	2	0	0	0	3	10	0	0	0	.118	.250	.118	.368	.000	.286	50	15	.201	12	-2	+0	+0	+0	+1	-0.1
2025	22	ROK	ACL Mariners	101	86	9	3	0	0	11	43	1	1	0	.105	.214	.140	.354	.035	.205	43	11	.161	-19	-14	+0	+0	+2	+3	-0.9
▸ 2026 Season
2026	23	MLB	SEA	104	94	20	3	1	2	8	32	1	2	0	.213	.282	.330	.611	.117	.288	31	8	.261	58	-5	+0	+0	+2	+3	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	SEA	187	169	36	6	1	4	14	56	2	3	1	.213	.281	.331	.612	.118	.290	30	7	.276	70	-6	+0	+0	+3	+5	0.2
2028	25	MLB 25%	SEA	281	254	55	10	2	6	22	82	3	4	1	.217	.287	.343	.629	.126	.292	29	8	.286	77	-7	+0	+0	+5	+8	0.6
2029	26	MLB 42%	SEA	346	312	69	12	2	9	28	99	3	5	1	.221	.292	.359	.651	.138	.293	29	8	.292	82	-7	+1	+0	+6	+10	1.0
2030	27	MLB 58%	SEA	380	341	76	13	2	10	32	109	4	6	1	.223	.297	.361	.658	.138	.293	29	8	.293	83	-8	+1	+0	+7	+11	1.1
2031	28	MLB 68%	SEA	399	358	79	14	2	10	34	115	4	5	1	.221	.295	.355	.650	.134	.293	29	9	.292	82	-8	+1	-1	+7	+11	1.0
2032	29	MLB 77%	SEA	404	363	79	14	2	10	34	118	4	5	1	.218	.292	.350	.642	.132	.292	29	8	.290	80	-9	+1	-1	+7	+11	0.9
2033	30	MLB 84%	SEA	404	363	79	14	2	10	34	119	4	4	0	.218	.292	.350	.642	.132	.291	29	8	.287	78	-10	+1	-2	+7	+11	0.7
2034	31	MLB 91%	SEA	383	344	74	13	2	9	32	115	4	2	0	.215	.289	.343	.632	.128	.289	30	8	.283	75	-11	+0	-3	+7	+11	0.4
2035	32	MLB	SEA	357	321	68	12	2	8	30	109	3	0	0	.212	.285	.336	.622	.125	.288	31	8	.278	71	-12	+0	-4	+6	+10	0.1
2036	33	MLB	SEA	320	287	60	10	2	7	27	100	3	0	0	.209	.284	.331	.615	.122	.286	31	8	.273	67	-12	+0	-4	+6	+9	-0.1
2037	34	MLB	SEA	273	246	48	8	1	5	23	87	2	0	0	.195	.269	.297	.566	.102	.284	32	8	.267	62	-12	+0	-5	+5	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4262	3827	799	137	21	92	353	1312	45	37	6	.209	.283	.328	.611	.119	.289	31	8	.276	69	-149	+5	-20	+76	+121	3.4
/ 162G	—			650	584	122	21	3	14	54	200	7	6	1	.209	.284	.327	.611	.118	.289	31	8	.276	69	-23	+1	-3	+12	+18	0.5

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	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2021	18	ROK	ACL Reds	111	94	34	5	0	4	12	30	5	0	.362	.459	.543	1.002	.181	.500	27	11	.445	199	+12	+0	—	—	+3	1.6
2022	19	A	Daytona Tortugas	31	26	4	0	0	0	5	11	0	0	.154	.290	.154	.444	.000	.267	35	16	.229	34	-2	+0	—	—	+1	-0.1
2022	19	ROK	ACL Reds	95	80	17	2	0	0	12	24	2	0	.212	.330	.237	.567	.025	.298	25	13	.274	68	-3	+0	—	—	+3	-0.1
2023	20	A	Daytona Tortugas	39	37	6	1	0	0	1	13	0	0	.162	.184	.189	.373	.027	.240	33	3	.167	-14	-5	+0	—	—	+1	-0.4
2023	20	ROK	ACL Reds	27	23	4	1	1	0	3	4	0	0	.174	.269	.304	.574	.130	.200	15	11	.252	51	-1	+0	—	—	+1	-0.1
2024	21	A	Daytona Tortugas	20	16	3	0	0	0	4	7	0	0	.188	.350	.188	.537	.000	.333	35	20	.275	69	-1	+0	—	—	+1	-0.0
2025	22	ROK	ACL Mariners	101	80	11	4	0	0	17	30	1	1	.138	.296	.188	.483	.050	.216	30	17	.238	41	-7	+0	—	—	+3	-0.4

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
Andruw Salcedo (OGILVIE)	23	—	—	—	—	.203/.268/.303	.100	.288	2	2	31%	7%	58	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Del Castillo 2023 · A	23	36→45	43→55	52→40	41	.184/.246/.294	.110	.257	10	7	32%	7%	46	-2.0	.210/.280/.351	.141	.289	15	4	31%	8%	76	+0.0	.218/.292/.382	.164	.293	19	1	31%	9%	86	+0.5
✕Skye Bolt 2017 · A	23	41→39	40→50	47→50	42	.198/.260/.294	.095	.271	7	9	28%	6%	52	-1.6	.200/.260/.327	.127	.289	12	10	33%	7%	60	-1.0	.234/.302/.369	.135	.310	15	12	28%	8%	86	+0.3
✕Hutton Moyer 2016 · A	23	40→42	42→50	50	37	.197/.254/.306	.109	.276	9	7	31%	5%	53	-1.5	.206/.255/.336	.130	.302	14	12	35%	5%	61	-1.0	.195/.243/.331	.136	.288	16	15	37%	4%	51	-0.7
✕Jose Sermo 2014 · A	23	42→36	41→55	48→50	36	.204/.246/.303	.099	.294	8	11	33%	5%	47	-1.9	.207/.252/.314	.107	.321	10	10	37%	5%	53	-1.5	.190/.232/.328	.138	.324	15	10	45%	5%	48	-0.8
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	.205/.269/.327	.122	.280	11	10	30%	7%	65	-0.7	.196/.267/.342	.146	.271	17	7	33%	8%	69	-0.4	.206/.283/.412	.206	.265	29	1	33%	8%	91	+0.6
✕Randy Florentino 2023 · A	23	36	41→50	47→45	40	.183/.244/.273	.090	.273	9	7	35%	7%	40	-2.4	.196/.244/.284	.088	.259	9	6	27%	6%	42	-2.3	.184/.224/.260	.076	.231	7	4	23%	4%	25	-1.0
✕James Free 2022 · A	24	42→44	40→50	48→30	43	.199/.268/.295	.096	.301	7	6	34%	8%	56	-1.3	.219/.274/.348	.129	.297	15	3	30%	6%	72	-0.2	.224/.278/.367	.143	.288	19	1	28%	6%	76	+0.0
✕Adrian Nieto 2013 · A	23	40→47	42→45	46→40	42	.200/.258/.299	.099	.277	9	5	30%	7%	52	-1.6	.218/.281/.335	.117	.302	11	4	30%	8%	71	-0.3	.209/.282/.322	.113	.291	11	2	30%	8%	65	-0.3
●Ryan Schimpf 2011 · A	23	39	43→60	52→45	39	.192/.257/.314	.121	.284	9	10	34%	6%	56	-1.3	.198/.273/.355	.157	.273	17	7	32%	8%	74	-0.1	.201/.284/.419	.218	.235	28	2	28%	9%	91	+0.9
✕Taylor Grzelakowski 2018 · A	24	43	40→45	50→30	42	.211/.263/.307	.096	.286	8	8	28%	6%	56	-1.3	.215/.275/.312	.097	.328	7	3	34%	7%	62	-0.9	.204/.270/.296	.092	.311	6	1	34%	8%	54	-0.8
●Leo Rivas 2021 · A	23	39→49	39→40	48→65	46	.188/.266/.276	.088	.284	7	8	34%	9%	50	-1.7	.215/.292/.302	.087	.300	7	21	28%	9%	67	-0.5	.238/.354/.331	.093	.320	9	44	25%	14%	100	+1.2
✕Patrick Bailey 2022 · A	23	44→49	45	50→45	43	.213/.278/.336	.122	.306	12	8	33%	8%	70	-0.3	.213/.279/.336	.123	.289	13	5	29%	8%	71	-0.3	.229/.288/.338	.110	.303	11	4	27%	7%	75	-0.0
✕Blaze Alexander 2022 · A	23	38→48	42→50	52→50	39	.185/.256/.288	.103	.292	11	14	38%	7%	49	-1.8	.218/.290/.354	.136	.331	15	11	36%	7%	81	+0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Jose Marquez 2021 · A	23	46	42→50	48→50	38	.223/.266/.331	.108	.304	9	8	29%	5%	63	-0.9	.201/.263/.302	.101	.329	10	9	39%	7%	55	-1.4	.133/.203/.225	.093	.206	16	12	43%	7%	8	-0.8
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	43	.207/.281/.298	.092	.283	7	6	28%	7%	63	-0.9	.204/.276/.336	.132	.276	16	3	31%	7%	70	-0.3	.179/.260/.330	.151	.234	22	0	33%	7%	67	-0.2
✕Anthony Seigler 2022 · A	23	41→39	41→45	44→55	45	.195/.271/.299	.104	.290	8	6	34%	9%	58	-1.2	.192/.292/.304	.112	.255	10	14	26%	12%	69	-0.4	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
✕Jonah Heim 2018 · A	23	41→49	41→55	46→40	42	.202/.250/.298	.096	.256	9	3	25%	6%	48	-1.9	.220/.270/.320	.100	.273	9	3	22%	6%	63	-0.9	.227/.289/.387	.160	.256	19	3	19%	8%	85	+0.5
✕Trent Woodward 2015 · A	23	43	41→45	47→30	47	.209/.286/.311	.102	.282	7	6	27%	8%	68	-0.5	.220/.287/.309	.089	.311	7	4	29%	8%	67	-0.5	.218/.288/.304	.087	.309	9	1	30%	8%	63	-0.3
✕Karexon Sanchez 2011 · A	23	43→47	43→45	47→50	43	.210/.280/.323	.114	.294	10	10	31%	7%	68	-0.5	.218/.288/.327	.109	.307	11	13	30%	7%	72	-0.2	.218/.287/.325	.107	.297	12	15	29%	7%	68	-0.2
✕Marcus Littlewood 2015 · A	23	42	42→45	49→45	48	.205/.274/.312	.107	.264	9	5	25%	8%	62	-0.9	.209/.270/.325	.116	.274	11	5	26%	8%	63	-0.8	.205/.258/.318	.113	.268	12	3	28%	7%	54	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)