Enmanuel Ramirez

Enmanuel RamirezCF FCL Nationals

Age 22 R/R 6'1" / 170 lbs ROK HR -9% Svc 0.0 · Ctrl thru 2037 peak 0.9 · 2030

wRC+†69

AVG/OBP/SLG.214 / .283 / .323

PA96

HR2

K%27

BB%8

MLB%0%

Scouting · now → future

HIT

45↗50

PWR

29↗34

SPD

46↗51

EYE

46↗51

trajectory · 10 yrs

0.9peak

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	+0.8	$4M	+$3M
2033	Ext / FA-deal	$1.0M	+0.7	$3M	+$2M
2034	Ext / FA-deal	$1.0M	+0.5	$3M	+$2M
2035	Ext / FA-deal	$0.6M	+0.3	$2M	+$1.0M
2036	Ext / FA-deal	$5M	—	—	—
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$9M		$10M	+$0.6M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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	17	ROK	DSL Nationals	145	136	17	3	0	2	7	50	1	4	2	.125	.174	.191	.365	.066	.176	34	5	.159	-20	-20	+0	+0	+1	+4	-1.5
2022	18	ROK	DSL Nationals	176	162	28	5	3	1	10	46	1	5	1	.173	.225	.259	.485	.086	.231	26	6	.206	16	-17	+1	+0	+1	+5	-1.1
2023	19	ROK	FCL Nationals	35	29	7	0	1	0	3	6	2	1	1	.241	.353	.310	.663	.069	.292	17	9	.271	66	-1	-0	+0	+0	+1	-0.0
2024	20	ROK	FCL Nationals	160	149	27	4	1	0	10	43	0	0	1	.181	.233	.221	.454	.040	.252	27	6	.209	18	-15	-0	+0	+1	+5	-1.0
2025	21	ROK	2 teams	90	80	16	2	2	0	7	19	1	4	2	.200	.273	.275	.548	.075	.254	21	8	.246	47	-5	+0	+0	+0	+3	-0.3
▸ 2026 Season
2026	22	MLB	WSH	96	88	19	3	1	2	7	26	1	2	0	.216	.281	.341	.622	.125	.286	27	7	.276	69	-3	+0	+0	+0	+3	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	WSH	185	166	37	7	1	4	15	49	2	3	1	.223	.295	.349	.644	.127	.287	26	8	.287	78	-5	+0	+0	+1	+5	0.2
2028	24	MLB 26%	WSH	296	266	60	11	2	6	25	76	3	6	1	.226	.299	.350	.649	.124	.288	26	8	.294	83	-6	+1	+0	+1	+8	0.5
2029	25	MLB 43%	WSH	364	325	73	13	2	8	32	92	4	7	2	.225	.302	.351	.653	.126	.289	25	9	.299	87	-5	+1	+0	+1	+10	0.7
2030	26	MLB 58%	WSH	407	364	84	15	3	10	36	103	4	8	2	.231	.307	.371	.678	.140	.290	25	9	.301	89	-5	+1	+0	+1	+12	0.9
2031	27	MLB 76%	WSH	427	382	88	16	3	10	38	108	4	8	2	.230	.307	.366	.673	.136	.290	25	9	.301	89	-5	+1	+0	+2	+12	0.9
2032	28	MLB 84%	WSH	437	390	89	16	3	10	40	112	4	8	2	.228	.306	.362	.668	.133	.289	26	9	.300	88	-6	+1	-1	+2	+12	0.8
2033	29	MLB 90%	WSH	435	388	88	16	3	10	40	112	4	8	1	.227	.306	.361	.666	.134	.289	26	9	.298	86	-7	+1	-1	+2	+12	0.7
2034	30	MLB	WSH	431	385	86	15	3	10	39	113	4	7	1	.223	.301	.356	.657	.132	.287	26	9	.295	84	-8	+1	-2	+2	+12	0.5
2035	31	MLB	WSH	420	375	82	15	2	9	38	112	4	6	0	.219	.297	.341	.639	.123	.286	27	9	.291	81	-9	+1	-3	+1	+12	0.3
2036	32	MLB	WSH	404	360	78	14	2	8	37	110	4	5	0	.217	.297	.333	.630	.117	.284	27	9	.286	77	-10	+1	-4	+1	+11	0.0
2037	33	MLB	WSH	375	335	71	13	2	7	34	104	3	5	0	.212	.290	.325	.616	.113	.283	28	9	.281	73	-11	+1	-4	+1	+11	-0.3
2038	34	MLB	WSH	331	295	62	11	2	6	30	95	3	5	0	.210	.290	.322	.612	.112	.281	29	9	.275	68	-12	+1	-5	+1	+9	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5214	4675	1012	179	36	103	448	1376	49	92	19	.216	.292	.336	.628	.120	.282	26	9	.283	74	-151	+11	-20	+19	+148	0.7
/ 162G	—			650	583	126	22	4	13	56	172	6	11	2	.216	.292	.334	.626	.118	.281	26	9	.283	74	-19	+1	-2	+2	+18	0.1

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
2021	17	ROK	DSL Nationals	145	131	22	5	0	2	11	34	1	4	2	.168	.236	.252	.488	.084	.208	23	8	.225	30	-11	+0	—	—	+4	-0.7
2022	18	ROK	DSL Nationals	176	156	36	7	5	1	16	31	1	5	1	.231	.306	.359	.665	.128	.278	18	9	.295	84	-3	+1	—	—	+5	0.2
2023	19	ROK	FCL Nationals	35	27	7	0	1	0	5	4	2	1	1	.259	.412	.333	.745	.074	.292	11	14	.343	121	+1	-0	—	—	+1	0.2
2024	20	ROK	FCL Nationals	160	144	37	6	2	0	15	30	0	0	1	.257	.327	.326	.653	.069	.322	19	9	.298	86	-3	-0	—	—	+5	0.2
2025	21	A	Fredericksburg Nationals	26	23	4	0	1	0	1	5	0	0	1	.174	.208	.261	.469	.087	.200	19	4	.193	6	-3	-0	—	—	+1	-0.2
2025	21	ROK	FCL Nationals	64	53	15	3	1	1	10	8	1	4	1	.283	.406	.434	.840	.151	.318	12	16	.380	149	+4	+0	—	—	+2	0.6

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
Enmanuel Ramirez (OGILVIE)	22	45→50	29→34	46→51	51	.214/.283/.323	.109	.286	2	2	27%	8%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Wynton Bernard 2013 · A	22	44→54	39→45	52→60	42	.208/.269/.296	.088	.301	6	10	31%	7%	56	-1.3	.242/.293/.332	.090	.318	5	19	24%	6%	75	-0.0	.270/.315/.362	.092	.329	5	28	19%	6%	86	+0.7
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Gilberto Celestino 2021 · A	22	46→52	41→45	47→50	45	.225/.277/.325	.100	.275	8	10	22%	6%	66	-0.6	.223/.291/.324	.101	.289	9	8	24%	8%	72	-0.2	.239/.310/.323	.084	.313	8	14	24%	9%	75	+0.0
✕Ryan Vega 2019 · A	22	47	40	47→45	44	.227/.283/.322	.094	.291	8	7	24%	6%	68	-0.5	.194/.261/.279	.085	.292	7	7	33%	7%	49	-1.8	.161/.235/.237	.076	.244	8	6	35%	7%	24	-2.0
✕Matt Fiedler 2017 · A	22	48	41→45	50	44	.233/.283/.340	.106	.292	8	9	22%	6%	72	-0.2	.223/.278/.324	.101	.288	8	8	24%	6%	66	-0.6	.214/.271/.315	.101	.272	10	8	24%	6%	59	-0.3
●Jake Elmore 2009 · A	22	46→56	40	45→55	45	.217/.280/.319	.102	.286	6	10	25%	7%	66	-0.6	.232/.303/.309	.077	.283	4	13	18%	9%	73	-0.1	.266/.337/.349	.083	.314	3	23	15%	9%	95	+1.0
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Imbewer Alvarez 2008 · A	22	47	40	51→55	46	.225/.293/.318	.094	.300	7	17	26%	8%	72	-0.2	.201/.260/.278	.077	.307	5	12	34%	6%	47	-1.9	.135/.182/.184	.049	.223	4	5	40%	2%	-12	-1.0
●Justice Bigbie 2022 · A	23	44→54	40→45	49→45	43	.212/.274/.307	.095	.300	8	5	30%	7%	60	-1.0	.239/.298/.345	.106	.326	9	5	28%	6%	81	+0.4	.257/.313/.369	.112	.310	12	5	20%	7%	90	+0.9
✕Ofilio Castro 2006 · A	22	46→56	39→40	46→45	43	.219/.269/.308	.089	.292	7	6	26%	6%	58	-1.2	.231/.279/.307	.076	.283	4	6	19%	6%	62	-0.9	.261/.304/.331	.071	.312	3	3	17%	5%	75	-0.0
✕Landon Lassiter 2016 · A	23	49→48	40	51→50	47	.230/.301/.324	.094	.311	6	8	26%	8%	76	+0.1	.217/.277/.288	.071	.327	4	9	32%	6%	57	-1.2	.210/.268/.271	.062	.324	3	9	34%	5%	46	-1.1
✕Cirilo Cumberbatch 2008 · A	22	48→43	42→40	48→45	44	.233/.290/.332	.100	.289	9	6	22%	6%	74	-0.1	.218/.268/.291	.073	.282	6	7	23%	5%	54	-1.4	.204/.250/.248	.044	.268	3	7	24%	4%	32	-2.0
✕Albert Hernandez 2010 · A	21	48	40	48→45	47	.228/.290/.326	.098	.277	7	7	20%	7%	72	-0.2	.218/.273/.299	.081	.299	6	6	27%	6%	57	-1.2	.193/.237/.228	.035	.286	3	2	32%	5%	20	-0.8
✕Matt Lawson 2009 · A	23	45→52	40→45	49→50	43	.218/.270/.308	.089	.282	8	13	25%	6%	59	-1.1	.235/.286/.342	.107	.317	10	8	28%	5%	75	-0.0	.258/.319/.379	.121	.328	8	7	22%	6%	96	+0.7
✕Phil Gosselin 2011 · A	22	48→58	39→45	50→45	40	.225/.274/.316	.091	.316	6	9	30%	6%	62	-0.9	.223/.267/.308	.085	.287	5	8	23%	5%	57	-1.2	.288/.326/.390	.102	.349	6	8	18%	5%	100	+0.9
✕Jonathan Davis 2015 · A	23	43→52	40→45	49→55	43	.207/.275/.310	.103	.274	6	7	26%	6%	63	-0.9	.212/.287/.328	.116	.288	9	16	28%	8%	72	-0.2	.225/.305/.340	.115	.292	10	20	25%	7%	80	+0.3
✕Cutter Dykstra 2011 · A	22	48→57	40	51→55	46	.227/.293/.313	.085	.301	8	15	26%	8%	70	-0.3	.220/.278/.296	.076	.304	5	16	27%	7%	59	-1.1	.236/.303/.323	.087	.313	6	16	25%	8%	75	-0.0
✕Brennan Milone 2023 · A	22	50→45	40→45	50→45	46	.236/.298/.326	.090	.311	8	8	26%	8%	76	+0.0	.223/.299/.358	.135	.290	15	5	27%	9%	85	+0.7	.207/.287/.341	.133	.269	16	5	28%	9%	74	-0.1
✕Kelby Tomlinson 2012 · A	22	49→59	40	55→60	44	.234/.284/.337	.103	.297	6	13	23%	6%	72	-0.2	.216/.269/.274	.058	.292	2	21	25%	6%	49	-1.8	.274/.334/.339	.065	.334	3	24	17%	7%	89	+0.7
✕Vinny Capra 2019 · A	23	45→48	39→45	50	43	.217/.266/.304	.087	.287	5	8	26%	6%	56	-1.3	.211/.263/.303	.092	.282	7	12	26%	6%	55	-1.4	.251/.319/.370	.119	.319	11	9	24%	8%	92	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)