Daniel Silva

C FCL Mets

Age 22 S/R 6'2" / 200 lbs ROK H -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1912ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	18	ROKDSL Mets Blue	17	.286/.412/.500	1	0	57	—	.200/.294/.400
2024	19	ROKDSL Mets Blue	57	.261/.404/.283	0	0	29	—	.160/.263/.180
2025	20	ROKNYM	92	.188/.391/.333	2	0	45	—	.130/.272/.247
2027PROJMLE	22	MLBNYM	202	.196/.281/.276	2	1	61	0.0
2028PROJ34% MLB	23	MLBNYM	23	.195/.279/.280	0	0	65	-0.0
2029PROJ48% MLB	24	MLBNYM	71	.198/.282/.290	1	0	68	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2025 Rk

BB%95

Chase%95

ISO75

wRC+74

wOBA62

Whiff%46

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 35 proj PA

wRC+†61

AVG/OBP/SLG.195 / .278 / .273

PA35

HR0

K%32

BB%9

ISO80

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2022	17	ROK	DSL Mets 1	—	15	12	3	0	0	0	3	5	0	0	0	250	400	250	650		429	33	20	321	34	—	—	—	—	—	—
2023	18	ROK	DSL Mets Blue	—	17	14	4	0	0	1	3	2	0	0	0	286	412	500	912	214	273	12	18	405	57	—	—	—	—	—	—
2024	19	ROK	DSL Mets Blue	—	57	46	12	1	0	0	10	15	1	0	1	261	404	283	686	22	387	26	18	332	29	—	—	—	—	—	—
2025	20	ROK	FCL Mets	—	92	69	13	4	0	2	21	24	2	0	0	188	391	333	725	145	256	26	23	345	45	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Mets 1	—	15	13	2	0	0	0	2	6	0	0	0	154	267	154	421		293	40	13	218	34	—	—	—	—	—	—
2023	18	ROK MLE	DSL Mets Blue	—	17	15	3	0	0	1	2	3	0	0	0	200	294	400	694	200	167	18	12	252	57	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	57	50	8	1	0	0	6	19	1	0	1	160	263	180	443	20	251	33	11	211	29	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	92	77	10	3	0	2	13	34	2	0	0	130	272	247	518	117	199	37	14	234	45	—	—	—	—	—	—
2022	17	ROK MLE	DSL Mets 1	—	15	13	2	0	0	0	2	6	0	0	0	154	267	154	421		286	40	13	218	34	—	—	—	—	—	—
2022	17	ROK RAW	DSL Mets 1	—	15	12	3	0	0	0	3	5	0	0	0	250	400	250	650		429	33	20	321	34	—	—	—	—	—	—
2023	18	ROK MLE	DSL Mets Blue	—	17	15	3	0	0	1	2	3	0	0	0	200	294	400	694	200	182	18	12	252	57	—	—	—	—	—	—
2023	18	ROK RAW	DSL Mets Blue	—	17	14	4	0	0	1	3	2	0	0	0	286	412	500	912	214	273	12	18	405	57	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	57	50	8	1	0	0	6	19	1	0	1	160	263	180	443	20	258	33	11	211	29	—	—	—	—	—	—
2024	19	ROK RAW	DSL Mets Blue	—	57	46	12	1	0	0	10	15	1	0	1	261	404	283	686	22	387	26	18	332	29	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	92	77	10	3	0	2	13	34	2	0	0	130	272	247	518	117	195	37	14	234	45	—	—	—	—	—	—
2025	20	ROK RAW	FCL Mets	—	92	69	13	4	0	2	21	24	2	0	0	188	391	333	725	145	256	26	23	345	45	—	—	—	—	—	—
2022	17	ROK MLE	DSL Mets 1	—	15	13	2	0	0	0	2	6	0	0	0	154	267	154	421		293	40	13	218	34	—	—	—	—	—	—
2023	18	ROK MLE	DSL Mets Blue	—	17	15	3	0	0	1	2	3	0	0	0	200	294	400	694	200	167	18	12	252	57	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	57	50	8	1	0	0	6	19	1	0	1	160	263	180	443	20	251	33	11	211	29	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	92	77	10	3	0	2	13	34	2	0	0	130	272	247	518	117	199	37	14	234	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL Mets Blue	—	57	50	8	1	0	0	6	19	1	0	1	160	263	180	443	20	251	33	11	211	29	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	92	77	10	3	0	2	13	34	2	0	0	130	272	247	518	117	199	37	14	234	45	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYM	0%	202	179	35	6	1	2	19	64	2	1	0	196	281	276	556	80	289	32	9	258	61	-9	+0	+0	+4	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYM	34%	67	60	12	2	0	1	6	21	1	0	0	201	284	288	573	88	290	31	9	264	65	-3	+0	+0	+1	+1	-0.0
2029	24	MLB MLE	NYM	48%	148	131	27	5	1	2	14	45	2	0	0	204	288	299	587	95	291	30	9	269	68	-6	+0	+0	+3	+3	0.0
2030	25	MLB MLE	NYM	56%	213	189	39	7	1	3	20	64	2	0	0	207	290	308	598	101	291	30	9	273	71	-7	+0	+0	+4	+5	0.1
2031	26	MLB MLE	NYM	60%	273	243	51	9	1	5	25	81	3	0	0	210	292	315	607	106	291	30	9	277	74	-9	+0	+0	+5	+6	0.2
2032	27	MLB MLE	NYM	62%	309	274	58	10	2	5	29	91	3	0	0	210	292	317	609	107	290	29	9	278	74	-10	+0	+0	+6	+7	0.3
2033	28	MLB MLE	NYM	63%	329	293	61	11	2	5	30	98	3	0	0	208	290	312	602	104	289	30	9	275	72	-11	+0	-1	+6	+7	0.1
2034	29	MLB MLE	NYM	64%	332	296	61	11	2	5	30	100	3	0	0	206	287	306	593	100	288	30	9	271	70	-12	+0	-1	+6	+7	-0.0
2028	23	MLB CTX	NYM	34%	23	21	4	1	0	0	2	7	0	0	0	195	279	280	559	85	281	30	9	258	65	-1	+0	+0	+0	+0	-0.0
2029	24	MLB CTX	NYM	48%	71	63	12	2	0	1	7	22	1	0	0	198	282	290	573	92	282	31	10	264	68	-3	+0	+0	+1	+2	0.0
2030	25	MLB CTX	NYM	56%	118	105	22	4	1	2	11	36	1	0	0	201	285	299	584	98	282	31	9	268	71	-4	+0	+0	+2	+3	0.1
2031	26	MLB CTX	NYM	60%	163	145	30	5	1	3	15	48	2	0	0	203	286	306	593	103	282	29	9	271	74	-5	+0	+0	+3	+4	0.1
2032	27	MLB CTX	NYM	62%	191	169	34	6	1	3	18	56	2	0	0	204	287	308	595	104	281	29	9	272	74	-6	+0	+0	+3	+4	0.2
2033	28	MLB CTX	NYM	63%	207	184	36	6	1	3	19	62	2	0	0	202	285	304	588	101	280	30	9	269	72	-7	+0	-0	+4	+4	0.1
2034	29	MLB CTX	NYM	64%	211	188	37	6	1	3	19	63	2	0	0	200	282	297	579	97	279	30	9	266	70	-8	+0	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	984	875	175	30	5	15	91	294	10	0	0	200	283	297	580	97	280	30	9	268	68	-33	+0	-1	+18	+21	0.5
/ 162G	—	A+C		—	650	578	116	20	3	10	60	194	7	0	0	201	284	298	581	97	281	30	9	268	68	-22	+0	-1	+12	+14	0.3
Career	—	MLE		—	1887	1673	337	60	9	29	180	573	20	0	1	201	287	300	587	99	285	30	10	269	68	-58	+0	-2	+30	+37	0.7
/ 162G	—	MLE		—	650	576	116	21	3	10	62	197	7	0	0	201	287	300	587	99	285	30	10	269	68	-22	+0	-1	+12	+14	0.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 ROKFCL Mets · 92 PAwOBA .338 → .234 (−104)K% 26.1% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.09%	÷1.007	×1.440	—	—	37.31%
BB% (unintentional) /PA	22.83%	÷0.988	×0.620	—	×0.995	14.26%
HBP% /PA	2.17%	—	×0.720	—	×0.995	1.56%
Singles /BIP	15.56%	÷0.987	×0.820	×0.990	×0.995	12.74%
Doubles /BIP	8.89%	÷0.989	×0.720	×0.990	×0.995	6.38%
Triples /BIP	0.00%	÷0.900	×0.720	×0.990	×0.995	0.00%
Home runs /BIP	4.44%	÷0.927	×0.780	—	×0.995	3.72%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 101, BB 98 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .338 → .234; ISO .145 → .110; BABIP .256 → .199. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Mets Blue · 57 PAwOBA .325 → .211 (−114)K% 26.3% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷0.964	×1.220	—	—	33.31%
BB% (unintentional) /PA	17.54%	÷1.067	×0.700	—	×0.995	11.45%
HBP% /PA	1.75%	—	×0.700	—	×0.995	1.22%
Singles /BIP	35.48%	÷1.035	×0.680	—	×0.995	23.19%
Doubles /BIP	3.23%	÷1.001	×0.600	—	×0.995	1.92%
Triples /BIP	0.00%	÷0.900	×0.600	—	×0.995	0.00%
Home runs /BIP	0.00%	÷0.967	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 107, 2B 100, 3B 80, K 93, BB 113 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .325 → .211; ISO .022 → .013; BABIP .387 → .251. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Mets Blue · 17 PAwOBA .395 → .252 (−143)K% 11.8% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷0.971	×1.220	—	—	14.78%
BB% (unintentional) /PA	17.65%	÷1.049	×0.700	—	×1.008	11.86%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	25.00%	÷1.074	×0.680	—	×1.008	15.95%
Doubles /BIP	0.00%	÷0.976	×0.600	—	×1.008	0.00%
Triples /BIP	0.00%	÷1.150	×0.600	—	×1.008	0.00%
Home runs /BIP	8.33%	÷0.868	×0.470	—	×1.008	4.54%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 115, 2B 95, 3B 130, K 94, BB 110 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .395 → .252; ISO .214 → .121; BABIP .273 → .167. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 DSLDSL Mets 1 · 15 PAwOBA .314 → .218 (−96)K% 33.3% → 40.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.010	×1.220	—	—	40.27%
BB% (unintentional) /PA	20.00%	÷0.968	×0.700	—	×1.022	14.79%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	42.86%	÷1.016	×0.680	—	×1.022	29.34%
Doubles /BIP	0.00%	÷1.000	×0.600	—	×1.022	0.00%
Triples /BIP	0.00%	÷0.900	×0.600	—	×1.022	0.00%
Home runs /BIP	0.00%	÷0.950	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 100, 3B 80, K 102, BB 94 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).

Result: wOBA .314 → .218; ISO .000 → .000; BABIP .429 → .293. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
	/162	664	20	1	217	311	367	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	/162	664	12	0	209	276	313	+11.9	+22.4	2.6	pk7: 7
#3Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
#3Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	/162	664	11	0	218*	292*	337*	+11.4	-0.0	0.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.5	1,019	16	0	208	287	310	+18	+20	1.2	1.2
	/162	664	11	0	208	287	310	+11.9	+13.0	0.8	pk7: 1
#4Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
	/162	664	13	1	218*	277*	341*	+11.6	-0.1	-0.1	pk7: 2
#5Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	2.3	1,525	8	3	214*	271*	292*	+27	+0	0.2	0.7
#5Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	/162	664	3	1	214*	271*	292*	+11.8	+0.0	0.1	pk7: 1
#6Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
	/162	664	8	2	211*	275*	330*	+11.9	+0.0	-0.0	pk7: 1

Daniel Silva

Career Stats + Projections

How the minor-league lines were translated

Career Comps