Daniel Silva — OGILVIE

Daniel SilvaC FCL Mets

Age 21 S/R 6'2" / 200 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2031

wRC+†59

AVG/OBP/SLG.204 / .271 / .300

PA81

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

2.0peak

2031

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	+2.0	$19M	+$18M
2033	Ext / FA-deal	$1.0M	+1.9	$19M	+$18M
2034	Ext / FA-deal	$1.0M	+1.7	$17M	+$16M
2035	Ext / FA-deal	$3M	+1.5	$16M	+$13M
2036	Ext / FA-deal	$4M	+1.2	$13M	+$9M
2037	Ext / FA-deal	$3M	+0.8	$4M	+$1.0M
Totals		$13M		$88M	+$75M

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
2022	17	ROK	DSL Mets 1	15	13	2	0	0	0	2	7	0	0	0	.154	.267	.154	.421	.000	.333	47	13	.209	18	-1	+0	+0	+0	+0	-0.1
2023	18	ROK	DSL Mets Blue	17	15	3	0	0	1	2	3	0	0	0	.200	.294	.400	.694	.200	.182	18	12	.305	92	-0	+0	+0	+0	+0	0.1
2024	19	ROK	DSL Mets Blue	57	50	9	1	0	0	6	23	1	0	1	.180	.281	.200	.481	.020	.333	40	11	.208	17	-5	-0	+0	+1	+2	-0.3
2025	20	ROK	FCL Mets	92	77	11	3	0	2	13	34	2	0	0	.143	.283	.260	.542	.117	.220	37	14	.236	39	-6	+0	+0	+2	+3	-0.2
▸ 2026 Season
2026	21	MLB	NYM	81	74	16	3	1	1	6	25	1	1	0	.216	.284	.324	.608	.108	.289	31	7	.262	59	-4	+0	+0	+1	+2	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	NYM	165	149	32	6	1	3	13	48	2	3	1	.215	.287	.329	.615	.114	.292	29	8	.282	74	-5	+0	+0	+3	+5	0.3
2028	23	MLB 28%	NYM	287	258	58	10	2	7	24	80	3	5	1	.225	.298	.360	.659	.136	.293	28	8	.294	83	-6	+1	+0	+5	+8	0.9
2029	24	MLB 45%	NYM	375	335	76	13	2	10	33	103	4	6	1	.227	.304	.367	.671	.140	.294	27	9	.301	89	-5	+1	+0	+7	+11	1.4
2030	25	MLB 60%	NYM	426	381	88	15	3	12	38	115	4	7	1	.231	.307	.381	.688	.150	.295	27	9	.306	93	-4	+1	+0	+8	+12	1.7
2031	26	MLB 77%	NYM	458	408	94	16	3	13	42	124	5	8	1	.230	.310	.380	.690	.150	.295	27	9	.309	94	-3	+1	+0	+8	+13	2.0
2032	27	MLB 92%	NYM	473	421	97	17	3	13	44	128	5	8	1	.230	.311	.378	.688	.147	.295	27	9	.309	94	-3	+1	+0	+8	+13	2.0
2033	28	MLB	NYM	477	425	97	17	3	13	44	130	5	7	1	.228	.308	.374	.682	.146	.295	27	9	.308	94	-3	+1	-1	+9	+14	1.9
2034	29	MLB	NYM	474	422	96	17	3	13	44	131	5	6	1	.227	.308	.374	.682	.147	.294	28	9	.305	92	-4	+1	-1	+8	+13	1.7
2035	30	MLB	NYM	467	415	94	16	3	13	44	131	5	5	0	.227	.308	.373	.682	.147	.293	28	9	.302	90	-6	+1	-2	+8	+13	1.5
2036	31	MLB	NYM	441	393	88	15	3	12	41	125	4	3	0	.224	.304	.369	.673	.145	.291	28	9	.299	87	-7	+1	-3	+8	+12	1.2
2037	32	MLB	NYM	412	367	80	14	2	10	38	119	4	1	0	.218	.298	.349	.647	.131	.290	29	9	.294	83	-8	+0	-4	+7	+12	0.8
2038	33	MLB	NYM	373	331	71	12	2	9	35	110	4	0	0	.215	.297	.344	.642	.130	.288	29	9	.288	79	-9	+0	-4	+7	+11	0.4
2039	34	MLB	NYM	322	286	60	10	2	7	30	98	3	0	0	.210	.292	.332	.624	.122	.286	30	9	.282	74	-9	+0	-5	+6	+9	0.1
2040	35	MLB	NYM	265	237	48	8	1	6	24	83	2	0	0	.203	.281	.321	.602	.118	.284	31	9	.274	68	-10	+0	-6	+5	+8	-0.3
2041	36	MLB	NYM	209	186	37	6	1	4	19	68	2	0	0	.199	.280	.306	.587	.108	.281	33	9	.266	62	-9	+0	-6	+4	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			5886	5243	1157	199	35	149	542	1685	61	60	9	.221	.301	.357	.658	.137	.293	29	9	.295	84	-107	+8	-31	+105	+167	14.5
/ 162G	—			650	579	127	22	4	16	60	186	7	7	1	.219	.301	.354	.655	.135	.292	29	9	.295	84	-12	+1	-3	+12	+18	1.6

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	HR	BB	SO	HBP	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2022	17	ROK	DSL Mets 1	15	12	3	0	0	3	5	0	0	.250	.400	.250	.650	.000	.429	33	20	.321	103	+0	+0	—	—	+0	0.0
2023	18	ROK	DSL Mets Blue	17	14	4	0	1	3	2	0	0	.286	.412	.500	.912	.214	.273	12	18	.405	168	+1	+0	—	—	+0	0.2
2024	19	ROK	DSL Mets Blue	57	46	12	1	0	10	15	1	1	.261	.404	.283	.686	.022	.387	26	18	.332	113	+1	-0	—	—	+2	0.2
2025	20	ROK	FCL Mets	92	69	13	4	2	21	24	2	0	.188	.391	.333	.725	.145	.256	26	23	.345	122	+2	+0	—	—	+3	0.5

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
Daniel Silva (OGILVIE)	21	—	—	—	—	.204/.271/.300	.096	.289	1	1	30%	7%	59	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Niko Goodrum 2013 · A	21	40→50	39→55	51→55	41	.191/.252/.280	.089	.282	5	8	33%	7%	44	-2.1	.212/.279/.299	.087	.310	5	16	30%	8%	61	-1.0	.231/.306/.406	.174	.310	18	16	30%	9%	97	+1.0
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	.215/.277/.302	.088	.284	6	8	25%	8%	60	-1.0	.215/.286/.335	.120	.300	12	3	30%	9%	73	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Parker Meadows 2021 · A	21	40→47	41→55	46→55	42	.197/.253/.288	.091	.267	9	9	29%	7%	47	-1.9	.203/.263/.335	.132	.270	14	12	29%	7%	64	-0.8	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕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
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Blake Perkins 2018 · A	21	42→52	40→50	51→55	43	.206/.261/.296	.090	.274	8	14	27%	6%	52	-1.6	.202/.269/.286	.084	.291	7	17	30%	8%	53	-1.5	.228/.311/.359	.130	.302	13	25	27%	10%	87	+0.5
●James McCann 2012 · A	22	41→51	42→50	49→45	39	.203/.260/.306	.103	.288	9	7	32%	6%	55	-1.4	.223/.261/.310	.087	.291	6	6	24%	4%	55	-1.4	.254/.315/.415	.161	.331	20	4	28%	7%	104	+1.1
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Jon Del Campo 2009 · A	21	45	38→45	48→55	42	.211/.269/.296	.085	.311	5	6	32%	7%	56	-1.3	.203/.238/.284	.081	.270	4	7	25%	4%	38	-2.6	.267/.300/.379	.112	.337	12	18	24%	3%	90	+0.6
✕Max Moroff 2014 · A	21	41→51	40→50	43→50	46	.201/.264/.291	.090	.263	8	8	26%	8%	52	-1.6	.217/.279/.307	.090	.309	6	11	29%	8%	63	-0.9	.230/.309/.353	.123	.307	12	10	27%	10%	85	+0.6
✕Miguel Gómez 2014 · A	21	44→54	39→50	49→40	39	.208/.259/.302	.093	.293	5	5	30%	5%	53	-1.5	.237/.275/.349	.112	.290	10	4	21%	4%	72	-0.2	.271/.288/.403	.133	.305	14	1	16%	2%	87	+0.6
✕David Bote 2014 · A	21	40→48	39→55	47→45	47	.191/.269/.278	.087	.263	6	7	28%	9%	52	-1.6	.204/.273/.294	.090	.273	6	6	26%	7%	57	-1.2	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
✕Carter Jensen 2023 · A	20	38→47	43→50	46→50	46	.188/.269/.299	.110	.273	10	7	33%	10%	58	-1.2	.198/.288/.331	.133	.275	13	9	30%	11%	74	-0.1	.206/.294/.357	.151	.275	17	10	30%	11%	81	+0.4
✕Addison Barger 2021 · A	21	39→46	39→55	49→45	44	.191/.262/.281	.090	.258	6	5	27%	7%	50	-1.8	.216/.278/.376	.160	.319	19	7	36%	7%	81	+0.4	.220/.291/.385	.165	.272	18	6	25%	8%	84	+0.5
✕Jose Marquez 2019 · A	21	42	41→50	48→50	39	.208/.253/.311	.103	.277	8	7	28%	5%	53	-1.5	.212/.261/.315	.103	.306	9	8	32%	5%	57	-1.2	.133/.203/.225	.093	.206	16	12	43%	7%	8	-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
✕C.J. Beatty 2010 · A	21	41	41→50	51→40	41	.201/.256/.299	.098	.284	9	9	31%	7%	51	-1.7	.211/.273/.328	.117	.294	10	5	29%	8%	66	-0.6	.207/.273/.340	.134	.281	11	2	29%	8%	65	-0.4
✕Isiah Gilliam 2017 · A	21	40→46	44→55	47→55	38	.200/.247/.314	.113	.281	11	5	32%	5%	51	-1.7	.201/.252/.327	.126	.299	13	6	36%	6%	57	-1.2	.217/.299/.399	.182	.339	23	19	40%	10%	92	+0.7
✕Adalberto Mondesi 2015 · A	20	39→49	40→60	54→65	34	.196/.228/.285	.089	.279	7	14	32%	4%	34	-2.8	.205/.237/.323	.118	.291	11	24	32%	4%	49	-1.8	.248/.279/.427	.179	.328	19	49	30%	4%	92	+0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)