Edward Lantigua

OF St. Lucie Mets

Age 20 R/R 6'1" / 174 lbs A H -5% Svc 0.0 · Ctrl thru 2035

Overview

APROSPECTMiLBFA 2036

ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Mets Oran…	189	.263/.401/.395	1	9	53	—	.171/.299/.241
2025	18	ROKNYM	194	.288/.435/.399	3	13	87	—	.236/.347/.333
2026	19	ANYM	34	.167/.265/.267	0	4	13	—	.129/.206/.194
2027PROJMLE	20	MLBNYM	164	.217/.294/.316	2	3	74	0.0
2028PROJ24% MLB	21	MLBNYM	26	.215/.294/.324	0	1	81	-0.0
2029PROJ39% MLB	22	MLBNYM	77	.219/.298/.338	1	2	85	0.0

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

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$3M2034Arb-2$5M+1

Skills · percentileMiLB Statcast 2025 Rk

wRC+92

wOBA83

K%82

BB%73

Z-Con%70

Chase%67

Career WAR0.0 WAR median (P10 0.0 / P90 0.1, comp-based) · star 2% · didn't stick 92%

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 43 proj PA

wRC+†74

AVG/OBP/SLG.215 / .292 / .313

PA43

HR1

K%25

BB%8

ISO99

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$9M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	—	—	—
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Arb-1	$3M	+0.3	$0.8M	+$0.0M (cut)
2034	Arb-2	$5M	+0.2	$0.5M	+$0.0M (cut)
2035	Arb-3	$7M	+0.2	$0.4M	+$0.0M (cut)
Totals		$2M		$3M	+$0.3M

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.

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)
2024	17	ROK	DSL Mets Orange	—	189	152	40	9	4	1	21	37	14	9	4	263	401	395	796	132	336	20	11	363	53	—	—	—	—	—	—
2025	18	ROK	FCL Mets	—	194	153	44	6	1	3	33	29	7	13	10	288	435	399	834	111	336	15	17	384	87	—	—	—	—	—	—
2026	19	A	St. Lucie Mets	—	34	30	5	3	0	0	2	10	2	4	0	167	265	267	531	100	250	29	6	251	13	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Mets Orange	—	189	158	27	5	3	0	15	46	14	9	4	171	299	241	540	70	223	24	8	246	53	—	—	—	—	—	—
2025	18	ROK MLE	FCL Mets	—	194	165	39	5	1	3	21	42	7	13	10	236	347	333	680	97	288	22	11	297	87	—	—	—	—	—	—
2026	19	A MLE	St. Lucie Mets	—	34	31	4	2	0	0	1	14	2	4	0	129	206	194	399	65	223	41	3	187	13	—	—	—	—	—	—
2024	17	ROK MLE	DSL Mets Orange	—	189	158	27	5	3	0	15	46	14	9	4	171	299	241	540	70	237	24	8	246	53	—	—	—	—	—	—
2024	17	ROK RAW	DSL Mets Orange	—	189	152	40	9	4	1	21	37	14	9	4	263	401	395	796	132	336	20	11	363	53	—	—	—	—	—	—
2025	18	ROK MLE	FCL Mets	—	194	165	39	5	1	3	21	42	7	13	10	236	347	333	680	97	298	22	11	297	87	—	—	—	—	—	—
2025	18	ROK RAW	FCL Mets	—	194	153	44	6	1	3	33	29	7	13	10	288	435	399	834	111	336	15	17	384	87	—	—	—	—	—	—
2026	19	A MLE	St. Lucie Mets	—	34	31	4	2	0	0	1	14	2	4	0	129	206	194	399	65	235	41	3	187	13	—	—	—	—	—	—
2026	19	A RAW	St. Lucie Mets	—	34	30	5	3	0	0	2	10	2	4	0	167	265	267	531	100	250	29	6	251	13	—	—	—	—	—	—
2024	17	ROK MLE	DSL Mets Orange	—	189	158	27	5	3	0	15	46	14	9	4	171	299	241	540	70	223	24	8	246	53	—	—	—	—	—	—
2025	18	ROK MLE	FCL Mets	—	194	164	39	5	1	3	21	42	7	13	10	238	347	335	683	98	288	22	11	297	87	—	—	—	—	—	—
2026	19	A MLE	St. Lucie Mets	—	34	31	4	2	0	0	1	14	2	4	0	129	206	194	399	65	223	41	3	187	13	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Mets Orange	—	189	158	27	5	3	0	15	46	14	9	4	171	299	241	540	70	223	24	8	246	53	—	—	—	—	—	—
2025	18	ROK MLE	FCL Mets	—	194	164	39	5	1	3	21	42	7	13	10	238	347	335	683	98	288	22	11	297	87	—	—	—	—	—	—
2026	19	A MLE	St. Lucie Mets	—	34	31	4	2	0	0	1	14	2	4	0	129	206	194	399	65	223	41	3	187	13	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	NYM	0%	164	147	32	6	1	2	13	42	3	3	1	217	294	316	610	99	285	26	8	278	74	-5	+0	-1	-1	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	NYM	24%	107	95	22	4	1	2	9	27	2	2	1	222	300	334	633	112	286	25	8	287	81	-2	+0	-0	-1	+2	-0.1
2029	22	MLB MLE	NYM	39%	196	174	39	7	1	4	16	49	4	4	1	226	304	348	652	122	288	25	8	294	85	-3	+0	-1	-1	+4	-0.1
2030	23	MLB MLE	NYM	49%	290	259	59	10	2	6	24	71	5	6	2	229	307	359	666	129	289	24	8	300	89	-4	+0	-0	-2	+6	0.1
2031	24	MLB MLE	NYM	54%	366	326	75	13	3	8	30	89	7	8	2	232	310	367	677	135	290	24	8	304	92	-4	+1	+0	-2	+8	0.3
2032	25	MLB MLE	NYM	57%	409	365	85	15	3	10	34	99	7	8	2	234	311	373	684	139	290	24	8	307	94	-3	+1	+0	-2	+9	0.4
2033	26	MLB MLE	NYM	60%	435	388	91	16	3	11	36	105	8	9	2	234	311	375	687	141	290	24	8	308	94	-3	+1	+0	-3	+9	0.5
2034	27	MLB MLE	NYM	61%	444	396	92	16	3	11	37	108	8	8	2	233	310	373	683	140	290	24	8	306	93	-3	+1	+0	-3	+10	0.4
2035	28	MLB MLE	NYM	62%	445	397	92	16	3	11	37	109	8	7	2	231	308	368	676	137	289	24	8	304	92	-4	+1	-1	-3	+10	0.2
2036	29	MLB MLE	NYM	63%	437	391	90	16	3	10	36	109	7	5	2	228	305	361	667	133	287	25	8	300	89	-6	+0	-1	-3	+9	-0.0
2028	21	MLB CTX	NYM	24%	26	24	5	1	0	0	2	7	0	1	0	215	294	324	618	109	277	27	8	281	81	-1	+0	-0	-0	+1	-0.0
2029	22	MLB CTX	NYM	39%	77	70	15	3	1	1	6	19	1	2	0	219	298	338	636	119	279	25	8	288	85	-1	+0	-0	-0	+2	0.0
2030	23	MLB CTX	NYM	49%	141	125	28	5	1	3	12	35	3	3	1	223	301	349	650	126	280	25	9	293	89	-2	+0	-0	-1	+3	0.0
2031	24	MLB CTX	NYM	54%	197	175	40	7	1	5	16	48	4	4	1	225	304	357	661	132	281	24	8	298	92	-2	+0	+0	-1	+4	0.2
2032	25	MLB CTX	NYM	57%	235	210	48	8	2	6	19	57	4	5	1	227	305	363	668	136	281	24	8	300	94	-2	+1	+0	-1	+5	0.3
2033	26	MLB CTX	NYM	60%	260	231	53	9	2	7	22	63	5	5	1	227	305	365	671	138	281	24	8	301	94	-2	+1	+0	-2	+6	0.3
2034	27	MLB CTX	NYM	61%	272	242	55	9	2	7	23	66	5	5	2	226	304	363	667	137	280	24	8	300	93	-2	+0	+0	-2	+6	0.2
2035	28	MLB CTX	NYM	62%	277	247	56	9	2	7	23	68	5	4	1	224	302	358	660	134	279	25	8	297	92	-3	+0	-0	-2	+6	0.2
2036	29	MLB CTX	NYM	63%	275	245	54	9	2	6	23	68	5	3	1	222	300	352	651	130	278	25	8	294	89	-4	+0	-1	-2	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1760	1569	354	60	13	42	146	431	32	32	8	226	305	361	665	135	283	24	8	297	88	-18	+3	-2	-11	+38	1.2
/ 162G	—	A+C		—	650	579	131	22	5	16	54	159	12	12	3	226	305	364	670	138	283	24	8	297	88	-6	+1	-1	-4	+14	0.4
Career	—	MLE		—	3589	3184	723	126	26	77	299	879	80	84	30	227	309	356	665	128	288	24	8	298	88	-34	+5	-4	-19	+69	1.8
/ 162G	—	MLE		—	650	577	131	23	5	14	54	159	14	15	5	227	308	357	665	130	287	24	8	298	88	-7	+1	-1	-4	+14	0.4

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.

2026 ASt. Lucie Mets · 34 PAwOBA .245 → .187 (−58)K% 29.4% → 40.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.41%	÷1.000	×1.360	—	—	40.00%
BB% (unintentional) /PA	5.88%	÷1.000	×0.690	—	×1.030	4.18%
HBP% /PA	5.88%	—	×0.780	—	×1.030	4.73%
Singles /BIP	10.00%	÷1.000	×0.920	—	×1.030	9.48%
Doubles /BIP	15.00%	÷1.000	×0.830	—	×1.030	12.82%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.030	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).

Result: wOBA .245 → .187; ISO .100 → .074; BABIP .250 → .223. 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).

2025 ROKFCL Mets · 194 PAwOBA .377 → .297 (−80)K% 14.9% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.95%	÷1.007	×1.440	—	—	21.38%
BB% (unintentional) /PA	17.01%	÷0.988	×0.620	—	×1.008	10.76%
HBP% /PA	3.61%	—	×0.720	—	×1.008	2.62%
Singles /BIP	27.42%	÷0.987	×0.820	×1.047	×1.008	24.04%
Doubles /BIP	4.84%	÷0.989	×0.720	×1.047	×1.008	3.72%
Triples /BIP	0.81%	÷0.900	×0.720	×1.047	×1.008	0.68%
Home runs /BIP	2.42%	÷0.927	×0.780	—	×1.008	2.05%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.047.

Result: wOBA .377 → .297; ISO .111 → .093; BABIP .336 → .288. 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 Orange · 189 PAwOBA .358 → .246 (−112)K% 19.6% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.58%	÷0.990	×1.220	—	—	24.14%
BB% (unintentional) /PA	11.11%	÷0.950	×0.700	—	×1.008	8.25%
HBP% /PA	7.41%	—	×0.700	—	×1.008	5.22%
Singles /BIP	22.61%	÷0.953	×0.680	×0.982	×1.008	15.96%
Doubles /BIP	7.83%	÷1.064	×0.600	×0.982	×1.008	4.36%
Triples /BIP	3.48%	÷0.921	×0.600	×0.982	×1.008	2.24%
Home runs /BIP	0.87%	÷0.996	×0.470	—	×1.008	0.41%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 91, 2B 113, 3B 84, K 98, BB 90 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .358 → .246; ISO .132 → .078; BABIP .336 → .223. 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
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
	/162	664	20	13	233	305	399	-2.9	-3.2	1.0	pk7: 5
#2Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
	/162	664	23	9	238	296	413	-6.7	+1.0	1.1	pk7: 4
#3Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	3.5	2,307	63	29	233*	311*	398*	-19	-6	2.4	3.1
#3Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	/162	664	18	8	233*	311*	398*	-5.5	-1.8	0.7	pk7: 4
#4Norm Miller'65-'74 * career totals — 6 seasons, 1,561 PA	2.4	1,561	24	16	238*	325*	391*	-14	-3	2.4	2.7
#4Norm Miller'65-'74 * career totals — 6 seasons, 1,561 PA	/162	664	10	7	238*	325*	391*	-6.1	-1.3	1.0	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.7	1,802	42	33	232	306	368	-11	+0	2.4	2.4
	/162	664	16	12	232	306	368	-4.0	+0.0	0.9	pk7: 2
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	/162	664	13	5	245*	309*	381*	-3.6	-0.6	0.6	pk7: 1
#6Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
#6Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	/162	664	19	6	236	292	400	-4.5	-2.5	0.6	pk7: 1

Edward Lantigua

Career Stats + Projections

How the minor-league lines were translated

Career Comps