Agustin Marcano — OGILVIE

Agustin MarcanoC FCL Nationals

Age 20 R/R 6'0" / 160 lbs ROK HR -9% Svc 0.0 · Ctrl thru 2037 peak 2.6 · 2033

wRC+†57

AVG/OBP/SLG.203 / .269 / .296

PA47

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

2.6peak

2033

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	+2.5	$24M	+$23M
2033	Ext / FA-deal	$1.0M	+2.6	$26M	+$25M
2034	Ext / FA-deal	$1.0M	+2.5	$25M	+$24M
2035	Ext / FA-deal	$4M	+2.3	$24M	+$20M
2036	Ext / FA-deal	$7M	+2.0	$22M	+$15M
2037	Ext / FA-deal	$8M	+1.6	$18M	+$10M
Totals		$22M		$138M	+$116M

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	17	ROK	DSL Nationals	58	52	5	1	1	0	5	22	0	2	0	.096	.175	.154	.329	.058	.167	38	9	.156	-22	-8	+0	+0	+1	+2	-0.5
2024	18	ROK	FCL Nationals	58	49	5	0	0	0	9	20	0	1	0	.102	.241	.102	.343	.000	.172	34	16	.188	2	-6	+0	+0	+1	+2	-0.4
2025	19	ROK	FCL Nationals	35	29	4	0	0	0	3	15	1	0	0	.138	.242	.138	.380	.000	.267	43	9	.175	-8	-4	+0	+0	+1	+1	-0.3
▸ 2026 Season
2026	20	MLB	WSH	47	44	9	2	0	1	3	14	0	1	0	.205	.255	.318	.574	.114	.289	30	6	.259	57	-2	+0	+0	+1	+1	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	WSH	135	122	27	5	1	3	11	39	1	2	1	.221	.291	.352	.644	.131	.292	29	8	.283	75	-4	+0	+0	+2	+4	0.2
2028	22	MLB 28%	WSH	275	246	56	10	2	7	24	76	3	5	1	.228	.304	.370	.674	.142	.293	28	9	.297	86	-4	+1	+0	+5	+8	0.9
2029	23	MLB 48%	WSH	374	333	76	13	2	10	34	101	4	7	1	.228	.307	.369	.677	.141	.294	27	9	.306	92	-3	+1	+0	+7	+11	1.5
2030	24	MLB 62%	WSH	442	393	92	16	3	13	41	117	5	9	2	.234	.314	.389	.704	.155	.295	26	9	.311	96	-2	+1	+0	+8	+13	2.0
2031	25	MLB 80%	WSH	481	428	99	17	3	14	45	127	5	10	2	.231	.312	.383	.695	.152	.295	26	9	.314	99	-1	+1	+0	+9	+14	2.3
2032	26	MLB 94%	WSH	504	446	104	18	3	15	48	133	5	10	2	.233	.315	.388	.703	.155	.296	26	10	.316	100	+0	+1	+0	+9	+14	2.5
2033	27	MLB	WSH	514	453	105	18	3	15	50	136	6	10	2	.232	.316	.384	.700	.152	.296	26	10	.316	100	+0	+1	+0	+9	+15	2.6
2034	28	MLB	WSH	516	454	105	18	3	15	51	137	6	9	1	.231	.317	.383	.700	.152	.295	27	10	.315	99	-0	+1	-1	+9	+15	2.5
2035	29	MLB	WSH	511	451	104	18	3	15	50	137	5	8	1	.231	.314	.384	.698	.153	.295	27	10	.313	98	-1	+1	-1	+9	+14	2.3
2036	30	MLB	WSH	503	443	101	17	3	14	50	137	5	7	0	.228	.313	.375	.688	.147	.293	27	10	.310	95	-3	+1	-2	+9	+14	2.0
2037	31	MLB	WSH	476	421	95	16	3	13	47	132	5	4	0	.226	.311	.371	.681	.145	.292	28	10	.306	92	-4	+1	-3	+8	+13	1.6
2038	32	MLB	WSH	445	394	88	15	3	12	44	125	4	2	0	.223	.308	.368	.676	.145	.290	28	10	.301	89	-6	+0	-4	+8	+13	1.2
2039	33	MLB	WSH	404	357	77	13	2	10	40	117	4	0	0	.216	.302	.347	.649	.132	.289	29	10	.296	85	-7	+0	-4	+7	+11	0.8
2040	34	MLB	WSH	351	311	67	11	2	9	34	104	3	0	0	.215	.299	.350	.649	.135	.287	30	10	.289	80	-8	+0	-5	+6	+10	0.3
2041	35	MLB	WSH	293	260	55	9	2	7	28	90	3	0	0	.212	.296	.342	.638	.131	.285	31	10	.282	74	-9	+0	-6	+5	+8	-0.1
2042	36	MLB	WSH	235	209	42	7	1	5	22	75	2	0	0	.201	.283	.316	.599	.115	.282	32	9	.273	67	-9	+0	-6	+4	+7	-0.4
2043	37	MLB	WSH	177	157	30	5	1	3	16	58	2	0	0	.191	.274	.293	.567	.102	.278	33	9	.263	60	-8	+0	-7	+3	+5	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			6834	6052	1346	229	41	181	655	1912	69	87	13	.222	.305	.364	.669	.141	.292	28	10	.301	88	-90	+12	-38	+122	+194	20.4
/ 162G	—			650	576	128	22	4	17	62	182	7	8	1	.222	.305	.363	.668	.141	.292	28	10	.301	88	-9	+1	-4	+12	+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	BB	SO	HBP	SB	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2023	17	ROK	DSL Nationals	58	49	7	2	1	8	16	0	2	.143	.263	.224	.488	.082	.212	28	14	.231	35	-4	+0	—	—	+2	-0.2
2024	18	ROK	FCL Nationals	58	44	7	0	0	14	14	0	1	.159	.362	.159	.521	.000	.233	24	24	.278	71	-2	+0	—	—	+2	-0.0
2025	19	ROK	FCL Nationals	35	26	4	0	0	5	10	1	0	.154	.303	.154	.457	.000	.235	29	14	.224	30	-3	+0	—	—	+1	-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
Agustin Marcano (OGILVIE)	20	—	—	—	—	.203/.269/.296	.093	.289	1	1	30%	7%	57	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Derek Norris 2009 · A	20	40→50	42→55	49→50	43	.194/.269/.300	.106	.295	9	6	35%	9%	58	-1.2	.209/.301/.372	.163	.281	20	6	31%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
●Alex Liddi 2009 · A	20	42→52	40→60	49→50	38	.202/.249/.300	.098	.290	7	9	32%	5%	48	-1.9	.240/.291/.399	.159	.335	16	7	32%	6%	92	+1.2	.241/.296/.424	.182	.336	20	5	33%	6%	99	+1.7
✕Luis Torrens 2016 · A	20	42→49	38→55	49→30	44	.201/.271/.276	.075	.277	5	5	28%	7%	52	-1.6	.207/.270/.291	.084	.263	6	4	22%	7%	55	-1.4	.228/.285/.376	.148	.288	19	0	27%	7%	82	+0.3
✕Eddys Leonard 2021 · A	20	42→46	40→50	46→45	45	.200/.274/.295	.095	.288	7	9	31%	8%	59	-1.1	.227/.293/.378	.151	.302	17	5	29%	7%	89	+0.9	.224/.290/.376	.152	.290	17	4	28%	6%	83	+0.5
✕David Bote 2013 · A	20	43→48	38→55	50→45	43	.200/.271/.286	.086	.293	4	8	31%	8%	54	-1.4	.190/.266/.272	.082	.263	5	6	28%	8%	50	-1.8	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
✕Agustín Ramírez 2022 · A	20	37→45	43→55	44→50	39	.188/.245/.301	.113	.275	11	4	34%	6%	47	-1.9	.223/.286/.366	.143	.284	16	11	26%	8%	82	+0.5	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Samad Taylor 2018 · A	20	45→53	37→50	51→65	41	.213/.268/.288	.076	.300	4	10	29%	6%	53	-1.5	.183/.255/.284	.101	.259	7	22	30%	8%	47	-1.9	.236/.312/.377	.141	.324	16	46	30%	9%	94	+0.8
●Chun-Hsiu Chen 2010 · A	21	43→53	41→50	48→45	40	.209/.263/.306	.097	.302	8	6	32%	7%	55	-1.4	.250/.309/.388	.138	.334	12	4	27%	7%	96	+1.5	.256/.318/.393	.137	.347	12	4	28%	8%	99	+1.3
●Tyler Stephenson 2017 · A	20	41→51	38→50	43→30	39	.197/.249/.277	.080	.290	6	3	33%	6%	42	-2.3	.216/.283/.315	.099	.290	9	3	27%	7%	67	-0.5	.253/.327/.399	.146	.323	16	1	25%	9%	102	+1.3
●Lane Thomas 2016 · A	20	43→51	37→55	51→55	42	.200/.259/.277	.077	.294	3	9	32%	7%	46	-2.0	.194/.260/.302	.108	.313	10	13	38%	8%	54	-1.4	.248/.312/.427	.179	.308	21	13	25%	7%	107	+2.0
✕Brendan Rodgers 2016 · A	19	43→53	40→50	46→45	39	.205/.255/.298	.093	.301	7	7	33%	6%	50	-1.8	.224/.267/.352	.128	.288	14	5	27%	4%	69	-0.4	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
✕Andres Regnault 2018 · A	19	39	38→55	47→45	39	.185/.251/.256	.071	.289	6	6	36%	7%	39	-2.5	.226/.287/.352	.126	.291	13	7	26%	6%	79	+0.3	.248/.309/.417	.169	.290	19	6	21%	6%	103	+0.7
●Tim Beckham 2009 · A	19	42→52	38→55	49→50	38	.202/.248/.282	.080	.290	5	7	31%	5%	43	-2.2	.219/.267/.307	.088	.310	5	10	29%	5%	57	-1.2	.248/.301/.421	.173	.319	22	4	28%	6%	100	+1.3
✕Pedro Severino 2012 · A	19	38→48	39→50	49→45	40	.187/.241/.272	.084	.263	6	5	30%	6%	37	-2.6	.189/.233/.264	.075	.239	5	3	22%	4%	31	-3.0	.246/.315/.384	.137	.304	17	3	24%	8%	95	+0.7
✕Emmanuel Rivera 2017 · A	21	40→50	37→55	49→45	43	.190/.250/.266	.075	.266	3	10	28%	7%	40	-2.4	.234/.273/.341	.107	.295	9	6	23%	4%	68	-0.5	.246/.303/.412	.166	.293	19	4	22%	7%	97	+1.1
●Vaughn Grissom 2021 · A	20	44→54	39→50	51→55	44	.214/.271/.302	.088	.272	7	6	23%	6%	58	-1.2	.265/.329/.388	.123	.318	11	15	19%	7%	105	+2.1	.283/.348/.417	.134	.334	12	17	18%	7%	116	+2.4
✕Tucker Mitchell 2022 · A	21	43	39→50	51→45	39	.202/.262/.293	.090	.301	6	7	33%	6%	52	-1.6	.193/.267/.305	.112	.296	13	8	37%	7%	59	-1.1	.178/.253/.291	.113	.253	15	7	34%	7%	47	-0.8
✕Yairo Muñoz 2015 · A	20	41→51	38→50	48→55	42	.195/.251/.276	.081	.262	4	7	26%	6%	43	-2.2	.218/.254/.321	.103	.267	10	9	22%	4%	56	-1.3	.270/.315/.386	.116	.325	11	18	20%	5%	92	+0.6
✕Thairo Estrada 2016 · A	20	44→54	39→50	48→55	41	.211/.264/.302	.090	.275	5	8	24%	5%	55	-1.4	.255/.297/.344	.089	.303	8	9	18%	5%	79	+0.3	.270/.326/.420	.150	.314	17	21	19%	5%	108	+1.8
●Michael Wing 2009 · A	20	45→53	39→55	50→40	39	.213/.258/.303	.090	.291	5	6	28%	5%	52	-1.6	.230/.279/.345	.115	.304	9	4	26%	6%	72	-0.2	.244/.285/.411	.167	.304	19	3	26%	4%	91	+0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)