Jeremy Rodriguez

Jeremy RodriguezSS St. Lucie Mets

Age 20 L/R 6'0" / 170 lbs A H -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION264 act + 10 ros · stats below = ROS only

showingROS

wRC+†42

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP238

ISO49

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 42 / POW 28

Toolsscout grade

CONTACT42

scouting grade only

POWER28

scouting grade only

EYE50

scouting grade only

SPEED51

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$1M	—	—	—
Totals		$3M		$2M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2023	17	ROK	DSL Mets Orange	—	202	167	49	10	5	3	33	31	1	19	6	293	413	467	880	174	343	15	16	391	151	+12	+1	—	—	+4	1.8
2024	18	ROK	FCL Mets	—	217	195	55	10	2	3	21	37	1	17	8	282	355	400	755	118	335	17	10	341	117	+4	+0	—	—	+5	0.9
2025	19	A	St. Lucie Mets	—	492	420	85	7	2	1	60	94	4	34	13	202	308	236	544	33	254	19	12	258	61	-23	+2	—	—	+11	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Mets Orange	—	202	181	37	7	4	2	19	46	1	19	6	204	284	320	604	116	253	23	9	265	65	-8	+1	—	—	+4	-0.3
2024	18	ROK MLE	FCL Mets	—	217	204	40	7	1	2	12	55	1	17	8	196	244	270	514	74	264	25	6	236	46	-14	+0	—	—	+5	-0.9
2025	19	A MLE	St. Lucie Mets	—	492	434	80	7	1	1	46	126	4	34	13	184	269	212	481	28	248	26	9	228	40	-35	+2	—	—	+11	-2.3
2023	17	ROK MLE	DSL Mets Orange	—	202	181	37	7	4	2	19	46	1	19	6	204	284	320	604	116	261	23	9	265	65	—	—	—	—	—	—
2023	17	ROK RAW	DSL Mets Orange	—	202	167	49	10	5	3	33	31	1	19	6	293	413	467	880	174	343	15	16	391	65	—	—	—	—	—	—
2024	18	ROK MLE	FCL Mets	—	217	204	40	7	1	2	12	55	1	17	8	196	244	270	514	74	259	25	6	236	46	—	—	—	—	—	—
2024	18	ROK RAW	FCL Mets	—	217	195	55	10	2	3	21	37	1	17	8	282	355	400	755	118	335	17	10	341	46	—	—	—	—	—	—
2025	19	A MLE	St. Lucie Mets	—	492	434	80	7	1	1	46	126	4	34	13	184	269	212	481	28	252	26	9	228	40	—	—	—	—	—	—
2025	19	A RAW	St. Lucie Mets	—	492	420	85	7	2	1	60	94	4	34	13	202	308	236	544	33	254	19	12	258	40	—	—	—	—	—	—
2023	17	ROK MLE	DSL Mets Orange	—	202	180	37	7	4	2	19	46	1	19	6	206	284	322	606	117	253	23	9	265	65	—	—	—	—	—	—
2024	18	ROK MLE	FCL Mets	—	217	202	40	7	1	2	12	55	1	17	8	198	244	272	517	74	264	25	6	236	46	—	—	—	—	—	—
2025	19	A MLE	St. Lucie Mets	—	492	439	80	7	1	1	46	126	4	34	13	182	269	210	478	27	248	26	9	228	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Mets Orange	—	202	180	37	7	4	2	19	46	1	19	6	206	284	322	606	117	253	23	9	265	65	—	—	—	—	—	—
2024	18	ROK MLE	FCL Mets	—	217	202	40	7	1	2	12	55	1	17	8	198	244	272	517	74	264	25	6	236	46	—	—	—	—	—	—
2025	19	A MLE	St. Lucie Mets	—	492	439	80	7	1	1	46	126	4	34	13	182	269	210	478	27	248	26	9	228	40	—	—	—	—	—	—
YTD	20	A MLE	NYM	—	264	234	45	5	1	1	26	75	1	11	6	192	276	235	511	43	275	28	10	233	44	-18	-0	+0	+3	+6	-0.9
▸ 2026 season
YTD	20	ROK RAW	NYM	—	34	30	9	0	1	1	4	7	0	3	1	300	382	467	849	167	364	21	12	377	44	—	—	—	—	—	—
YTD	20	A RAW	NYM	—	230	194	42	5	0	0	32	46	1	8	5	216	330	242	573	26	280	20	14	274	44	—	—	—	—	—	—
ROS	20	A MLE	NYM	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		244	30	10	230	42	-1	+0	+0	+0	+0	-0.0
TOT	20	A MLE	NYM	—	274	243	46	5	1	1	27	78	1	11	6	189	273	230	504	41	271	28	10	233	44	-18	-0	+0	+3	+6	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	NYM	34%	531	473	91	12	2	6	50	131	3	15	7	192	274	264	538	72	251	25	9	251	56	-28	+0	+0	+6	+12	-1.1
2028	22	MLB MLE	NYM	48%	574	510	102	14	2	9	55	138	4	16	7	200	283	288	571	88	255	24	10	265	65	-24	+0	+0	+6	+12	-0.5
2029	23	MLB MLE	NYM	54%	615	546	113	16	2	11	59	145	5	18	8	207	290	304	594	97	257	24	10	273	71	-21	+0	+0	+7	+13	-0.1
2030	24	MLB MLE	NYM	55%	627	557	117	16	2	13	60	146	5	18	8	210	293	316	609	106	259	23	10	278	74	-19	+0	+0	+7	+14	0.2
2031	25	MLB MLE	NYM	56%	634	562	118	17	2	13	62	146	5	18	8	210	294	317	611	107	259	23	10	280	76	-18	+0	+0	+7	+14	0.3
2032	26	MLB MLE	NYM	56%	639	566	120	17	2	14	63	147	5	18	8	212	297	323	620	111	259	23	10	281	77	-18	+0	+0	+7	+14	0.3
2033	27	MLB MLE	NYM	60%	637	564	120	17	2	14	63	147	5	18	8	213	297	324	622	112	259	23	10	281	77	-18	+0	+0	+7	+14	0.3
2034	28	MLB MLE	NYM	62%	631	558	116	16	2	13	63	147	5	17	8	208	294	314	608	106	258	23	10	281	76	-18	+0	-1	+7	+14	0.2
2035	29	MLB MLE	NYM	63%	621	549	115	16	2	13	62	146	5	16	7	209	295	317	612	107	258	24	10	279	75	-19	+0	-1	+7	+13	0.1
2036	30	MLB MLE	NYM	63%	609	538	111	15	2	12	61	145	5	14	6	206	293	309	602	102	257	24	10	276	73	-19	+0	-2	+7	+13	-0.1
2027	21	MLB CTX	NYM	34%	182	162	31	4	1	2	17	45	1	5	2	191	272	265	538	74	244	25	9	242	56	-10	+0	+0	+2	+4	-0.4
2028	22	MLB CTX	NYM	48%	278	248	49	7	1	4	26	67	2	8	3	198	279	282	561	85	248	24	9	255	65	-12	+0	+0	+3	+6	-0.2
2029	23	MLB CTX	NYM	54%	334	297	59	8	1	6	32	79	2	10	4	199	281	293	574	94	250	24	10	264	71	-11	+0	+0	+4	+7	-0.0
2030	24	MLB CTX	NYM	55%	348	308	63	9	1	7	34	81	3	10	4	205	290	308	598	104	252	23	10	268	74	-11	+0	+0	+4	+8	0.1
2031	25	MLB CTX	NYM	56%	355	314	64	9	1	7	35	82	3	10	4	204	290	306	596	102	252	23	10	270	76	-10	+0	+0	+4	+8	0.2
2032	26	MLB CTX	NYM	56%	359	318	66	9	1	8	35	83	3	10	5	208	292	318	610	110	252	23	10	271	77	-10	+0	+0	+4	+8	0.2
2033	27	MLB CTX	NYM	60%	380	336	69	10	1	8	38	88	3	11	5	205	292	312	604	107	252	23	10	271	77	-11	+0	+0	+4	+8	0.2
2034	28	MLB CTX	NYM	62%	389	344	70	10	1	8	39	91	3	11	5	203	290	308	598	105	252	23	10	271	76	-11	+0	-0	+4	+8	0.1
2035	29	MLB CTX	NYM	63%	389	344	70	10	1	8	39	91	3	10	4	203	290	308	598	105	251	23	10	269	75	-12	+0	-1	+4	+8	0.1
2036	30	MLB CTX	NYM	63%	386	341	69	9	1	8	39	92	3	9	4	202	290	305	595	103	250	24	10	267	73	-12	+0	-1	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3400	3012	610	85	10	66	334	799	26	94	40	203	288	303	591	101	251	24	10	266	69	-109	+3	-3	+36	+74	0.1
/ 162G	—	A+C		—	650	576	117	16	2	13	64	153	5	18	8	203	288	306	594	102	252	24	10	266	69	-21	+1	-1	+7	+14	0.0
Career	—	MLE		—	7039	6251	1281	177	26	123	676	1668	53	238	102	205	288	301	589	96	258	24	10	270	69	-202	+4	-4	+66	+133	-0.4
/ 162G	—	MLE		—	650	577	117	16	2	11	62	154	5	22	9	203	285	295	580	92	255	24	10	270	69	-21	+0	-0	+7	+14	-0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
#4Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.6	3,721	68	103	206	286	305	+40	+0	1.4	2.0
/162	664	12	18	+7.1	+0.0	0.2	pk7: 3
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Jeremy Rodriguez (OGILVIE)	20	30→42	20→28	60→51	50	178/258/224	46	244	1	12	26%	9%	42	-1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Oswal Leones 2021 · A	20	41	36→30	46→50	46	196/259/262	66	262	4	12	25%	7%	49	-2.4	198/260/265	67	297	3	8	31%	7%	50	-2.3	180/247/237	57	275	2	9	33%	7%	36	-1.1
✕Rodolfo Penalo 2013 · A	20	41	36→40	52→65	48	193/259/264	71	240	3	18	20%	7%	50	-2.3	214/291/283	69	273	2	26	20%	9%	66	-1.1	212/299/273	61	273	1	34	20%	10%	63	-0.4
✕Luis Durango 2023 · A	20	44	35→30	53→65	46	204/281/259	55	266	3	24	23%	7%	58	-1.7	214/284/271	57	295	2	32	26%	6%	61	-1.5	251/307/296	45	331	0	54	22%	4%	70	-0.3
✕Richard Rodriguez 2013 · A	20	42	34→30	49→50	45	195/244/241	46	244	2	16	20%	6%	38	-3.2	229/284/270	41	282	1	12	18%	7%	59	-1.6	226/283/242	17	274	0	12	16%	7%	51	-0.7
✕Geraldo Quintero 2022 · A	20	39→46	36→40	52→60	46	187/255/254	67	246	3	17	24%	7%	46	-2.6	216/281/304	88	287	5	23	25%	7%	67	-1.1	218/285/302	85	288	5	28	24%	7%	66	-0.9
✕Terry Serrano 2007 · A	20	39	35→30	49→55	46	184/261/240	56	270	2	16	30%	9%	45	-2.7	196/268/257	61	275	3	15	27%	8%	51	-2.2	193/272/251	58	274	2	17	28%	9%	50	-1.0
✕Rafael P Valera 2015 · A	20	44	34→30	52→55	52	201/286/257	56	250	1	17	19%	9%	59	-1.7	213/283/282	69	307	2	6	28%	8%	63	-1.4	209/279/276	68	317	1	2	32%	7%	57	-0.5
✕Luis Valenzuela 2014 · A	20	41	37→45	53→45	46	193/250/268	75	240	4	9	21%	7%	47	-2.6	229/258/316	87	295	5	8	23%	4%	60	-1.6	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Jean Carlos Sio 2023 · A	19	39→49	36→45	52→50	49	185/257/254	70	230	4	16	21%	8%	47	-2.5	208/287/287	79	268	6	12	23%	9%	66	-1.1	221/302/302	81	281	7	12	22%	9%	72	-0.4
✕Wilbis Santiago 2016 · A	20	45	35→40	55→30	46	209/266/267	58	257	2	10	19%	6%	53	-2.1	224/267/299	75	261	3	8	15%	4%	60	-1.6	247/273/328	81	279	3	3	12%	2%	67	-0.4
✕Michael De La Cruz 2016 · A	20	41	36→40	45→50	44	192/261/262	70	277	4	9	30%	8%	50	-2.3	192/257/257	65	308	3	10	35%	8%	47	-2.5	156/232/188	31	269	0	14	38%	9%	20	-1.5
✕Conner Capel 2017 · A	20	40→45	36→45	52→55	44	190/237/258	67	240	2	13	21%	5%	39	-3.1	205/259/328	123	274	12	11	28%	6%	64	-1.3	213/285/332	119	269	12	19	24%	8%	72	-0.5
✕Nelson Molina 2015 · A	20	39	34→40	51→40	44	182/228/228	47	225	2	12	20%	5%	29	-3.8	215/260/276	61	265	3	7	19%	5%	52	-2.2	225/268/288	63	277	4	5	19%	5%	55	-0.9
✕Alfredo Angarita 2017 · A	20	40	36→30	50→55	52	189/279/255	65	254	3	16	25%	10%	56	-1.9	199/268/256	57	283	2	12	28%	8%	51	-2.2	192/257/236	44	276	1	11	28%	7%	39	-1.2
✕Oliver Carmona 2017 · A	19	41	35→40	48→50	47	190/253/249	58	238	2	10	20%	7%	44	-2.8	210/279/286	76	266	5	11	21%	8%	62	-1.4	211/288/283	72	260	5	13	20%	9%	68	-0.5
✕Emmanuel Morel 2017 · A	20	40	34→30	50→55	44	183/259/238	55	287	2	15	34%	9%	44	-2.8	196/261/262	66	318	2	13	36%	7%	50	-2.3	183/249/232	49	297	0	21	35%	6%	36	-0.8
✕Darrien Miller 2021 · A	20	42→41	36→45	47→45	43	198/272/267	70	271	3	8	27%	6%	56	-1.9	199/300/314	115	273	13	6	30%	9%	79	-0.2	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Rather Trujillo 2008 · A	19	39	34→30	51→50	46	180/269/232	51	236	2	15	22%	7%	48	-2.5	215/304/283	68	261	3	14	17%	8%	72	-0.7	223/314/293	70	263	2	14	14%	8%	76	-0.2
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Cesar Galvez 2011 · A	20	40	34→30	49→65	46	187/238/241	54	227	2	13	18%	6%	36	-3.4	219/278/268	49	267	1	25	17%	7%	57	-1.8	226/285/249	23	272	0	31	16%	7%	53	-0.7

Career Stats + Projections

Career Comps

Career Path Comps