Jefrey De Los Santos

Jefrey De Los SantosSS Brooklyn Cyclones

Age 23 L/R 6'0" / 154 lbs A+ H -5% Svc 0.0 · Ctrl thru 2035

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 274 proj PA

wRC+†31

AVG/OBP/SLG.156 / .220 / .242

PA24

HR0

K%35

BB%7

ISO88

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 40

Toolsscout grade

CONTACT25

scouting grade only

POWER40

scouting grade only

EYE45

scouting grade only

SPEED50

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2030
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	$0.9M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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)
2021	18	ROK	DSL Mets 2	—	157	137	34	1	5	2	18	40	2	6	3	248	344	372	716	124	337	25	11	325	106	+1	+0	—	—	+3	0.5
2022	19	ROK	FCL Mets	—	150	132	27	4	2	3	15	41	1	5	4	205	291	333	624	129	267	27	10	281	76	-4	-1	—	—	+3	-0.2
2023	20	A	St. Lucie Mets	—	267	218	48	10	4	5	43	73	4	4	3	220	357	372	729	151	305	27	16	333	111	+4	-0	—	—	+6	0.9
2023	20	ROK	FCL Mets	—	26	22	9	4	0	0	2	5	1	1	0	409	480	591	1.071	182	500	19	8	454	193	+3	+0	—	—	+1	0.4
2024	21	A+	Brooklyn Cyclones	—	358	314	61	19	3	6	34	98	6	3	2	194	285	331	617	137	257	27	9	279	75	-11	-0	—	—	+8	-0.3
2024	21	A	St. Lucie Mets	—	18	18	3	1	0	0	0	5	0	1	0	167	167	222	389	56	231	28	0	172	2	-2	+0	—	—	+0	-0.2
2025	22	AA	Binghamton Rumble Ponies	—	44	41	10	3	0	0	2	15	0	2	1	244	279	317	596	73	385	34	5	263	64	-2	+0	—	—	+1	-0.1
2025	22	A+	Brooklyn Cyclones	—	195	170	33	4	4	4	21	58	2	6	2	194	290	335	625	141	266	30	11	282	77	-5	+0	—	—	+4	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Mets 2	—	157	144	23	1	3	1	11	58	2	6	3	160	229	229	458	69	255	37	7	211	29	-13	+0	—	—	+3	-1.0
2022	19	ROK MLE	FCL Mets	—	150	138	17	2	1	2	9	61	1	5	4	123	182	196	378	72	199	41	6	176	5	-17	-1	—	—	+3	-1.5
2023	20	A MLE	St. Lucie Mets	—	267	229	34	8	2	3	33	109	4	4	3	148	267	240	507	92	258	41	12	236	46	-17	-0	—	—	+6	-1.2
2023	20	ROK MLE	FCL Mets	—	26	23	7	3	0	0	1	8	1	1	0	304	360	435	795	130	385	31	4	334	112	+0	+0	—	—	+1	0.1
2024	21	A+ MLE	Brooklyn Cyclones	—	358	325	46	14	3	3	23	133	6	3	2	142	212	231	443	89	213	37	6	198	20	-34	-0	—	—	+8	-2.7
2024	21	A MLE	St. Lucie Mets	—	18	18	3	1	0	0	0	7	0	1	0	167	167	222	389	56	225	39	0	136	-22	-3	+0	—	—	+0	-0.2
2025	22	AA MLE	Binghamton Rumble Ponies	—	44	42	9	3	0	0	1	18	0	2	1	214	233	286	518	71	365	41	2	223	37	-3	+0	—	—	+1	-0.2
2025	22	A+ MLE	Brooklyn Cyclones	—	195	178	26	3	3	3	13	77	2	6	2	146	212	247	460	101	225	39	7	203	24	-18	+0	—	—	+4	-1.3
2021	18	ROK MLE	DSL Mets 2	—	157	144	23	1	3	1	11	58	2	6	3	160	229	229	458	69	259	37	7	211	29	—	—	—	—	—	—
2021	18	ROK RAW	DSL Mets 2	—	157	137	34	1	5	2	18	40	2	6	3	248	344	372	716	124	337	25	11	325	29	—	—	—	—	—	—
2022	19	ROK MLE	FCL Mets	—	150	138	17	2	1	2	9	61	1	5	4	123	182	196	378	72	195	41	6	176	5	—	—	—	—	—	—
2022	19	ROK RAW	FCL Mets	—	150	132	27	4	2	3	15	41	1	5	4	205	291	333	624	129	267	27	10	281	5	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	293	252	40	11	2	3	34	117	5	5	3	159	271	254	525	95	276	40	12	245	52	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	293	240	57	14	4	5	45	78	5	5	3	237	368	392	759	154	327	27	15	344	52	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	376	343	48	14	3	3	23	140	6	4	2	140	207	224	431	85	221	37	6	195	18	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	376	332	64	20	3	6	34	103	6	4	2	193	280	325	605	133	256	27	9	273	18	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	239	220	35	6	3	3	14	95	2	8	3	159	216	255	471	95	260	40	6	207	26	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	239	211	43	7	4	4	23	73	2	8	3	204	288	332	620	128	289	31	10	279	26	—	—	—	—	—	—
2021	18	ROK MLE	DSL Mets 2	—	157	143	23	1	3	1	11	58	2	6	3	161	229	231	460	70	255	37	7	211	29	—	—	—	—	—	—
2022	19	ROK MLE	FCL Mets	—	150	139	17	2	1	2	9	61	1	5	4	122	182	194	377	72	199	41	6	176	5	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	293	252	40	11	2	3	34	117	5	5	3	159	271	254	525	95	269	40	12	245	52	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	376	344	48	14	3	3	23	140	6	4	2	140	207	224	431	84	214	37	6	195	18	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	239	221	35	6	3	3	14	95	2	8	3	158	216	253	469	95	251	40	6	207	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	293	252	40	11	2	3	34	117	5	5	3	159	271	254	525	95	269	40	12	245	52	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	376	344	48	14	3	3	23	140	6	4	2	140	207	224	431	84	214	37	6	195	18	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	239	221	35	6	3	3	14	95	2	8	3	158	216	253	469	95	251	40	6	207	26	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	NYM	0%	24	22	3	1	0	0	2	8	0	0	0	136	208	182	390	45	234	33	8	214	31	-2	+0	+0	+0	+1	-1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	NYM	30%	337	308	52	11	3	5	23	111	3	5	2	169	234	273	506	104	242	33	7	232	43	-23	+0	+0	+4	+7	-1.2
2028	25	MLB MLE	NYM	44%	389	354	62	13	3	7	28	124	4	6	2	175	244	288	532	113	246	32	7	242	50	-23	+0	+0	+4	+8	-1.0
2029	26	MLB MLE	NYM	51%	422	384	69	14	3	8	31	133	4	6	2	180	248	294	542	115	249	32	7	248	54	-23	+0	+0	+5	+9	-0.9
2030	27	MLB MLE	NYM	52%	434	394	71	15	3	8	32	136	5	7	3	180	251	294	545	114	250	31	7	250	55	-23	+0	+0	+5	+9	-0.9
2027	24	MLB CTX	NYM	30%	102	93	16	3	1	2	7	34	1	2	1	172	238	290	528	118	235	33	7	220	43	-7	+0	+0	+1	+2	-0.4
2028	25	MLB CTX	NYM	44%	172	156	27	6	1	3	12	55	2	3	1	173	241	282	523	109	240	32	7	231	50	-10	+0	+0	+2	+4	-0.5
2029	26	MLB CTX	NYM	51%	214	194	35	7	2	4	16	67	2	3	1	180	250	299	549	119	242	31	7	236	54	-12	+0	+0	+2	+5	-0.5
2030	27	MLB CTX	NYM	52%	228	207	37	8	2	4	17	71	2	3	1	179	248	295	542	116	243	31	7	238	55	-12	+0	+0	+2	+5	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	716	650	115	24	6	13	52	227	7	11	4	177	245	292	538	115	246	32	7	233	41	-41	+1	+0	+8	+16	-1.8
/ 162G	—	A+C		—	650	590	104	22	5	12	47	206	6	10	4	176	244	292	536	115	245	32	7	233	41	-37	+1	+0	+7	+14	-1.6
Career	—	MLE		—	2821	2559	420	88	24	40	207	983	32	52	24	164	236	264	500	100	245	35	7	228	41	-94	+1	+0	+17	+35	-4.2
/ 162G	—	MLE		—	650	590	97	20	6	9	48	226	7	12	6	164	236	264	500	100	245	35	7	228	41	-38	+0	+0	+7	+14	-1.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#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
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.1	717	13	11	179	245	294	+8	+6	-1.3	-0.6
/162	664	12	10	+7.1	+5.6	-1.2	pk7: 0
#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
Jefrey De Los Santos (OGILVIE)	23	25	40	50	45	156/220/242	87	234	3	4	35%	7%	31	-1.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Logan Moore 2014 · A	23	34	38→40	43→30	40	170/229/243	73	244	5	4	32%	6%	34	-3.5	198/247/282	84	271	6	3	28%	6%	49	-2.4	191/238/275	84	266	9	0	30%	6%	42	-1.1
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	35	174/226/251	77	275	5	7	37%	5%	34	-3.5	188/272/333	145	263	18	6	34%	9%	72	-0.7	166/252/300	134	233	18	4	36%	9%	55	-1.0
✕Ryan Gold 2021 · A	23	41→36	40→45	48→40	37	199/246/297	98	278	7	5	30%	5%	52	-2.2	194/267/325	131	289	12	3	35%	8%	68	-1.0	172/253/309	138	254	13	0	36%	8%	57	-0.8
✕Jordan Pearce 2019 · A	23	39→35	39→40	46→40	48	191/262/272	81	255	7	3	27%	9%	53	-2.1	194/277/276	82	267	7	5	28%	9%	60	-1.6	168/270/232	64	232	6	3	27%	10%	47	-1.6
✕Chad McClanahan 2021 · A	23	37→30	38→40	45	42	179/253/254	75	277	6	7	35%	8%	46	-2.6	179/251/273	94	358	9	6	48%	8%	49	-2.4	127/210/209	82	277	9	1	53%	9%	19	-2.3
✕Henrry Rosario 2016 · A	23	37	40→45	44→45	41	184/234/278	93	236	7	6	25%	5%	43	-2.8	223/274/355	132	285	13	9	26%	6%	76	-0.4	240/292/401	160	299	18	11	25%	6%	92	+0.3
✕Seth Gray 2022 · A	24	36	42→40	49→50	39	178/256/274	96	282	10	6	38%	7%	53	-2.1	196/273/302	106	328	12	11	41%	8%	65	-1.2	191/271/295	104	328	13	14	42%	8%	59	-1.1
✕Vicente Conde 2017 · AA	23	40→35	39→40	46→45	44	193/259/279	85	278	5	7	31%	8%	53	-2.1	176/250/260	84	258	6	6	31%	9%	46	-2.6	104/202/173	69	167	5	2	38%	10%	8	-1.6
✕Jake Skole 2015 · AA	23	38→44	38→40	46→50	43	184/249/265	81	269	5	7	32%	8%	47	-2.6	190/251/279	89	287	8	13	34%	7%	50	-2.3	174/236/253	80	261	8	16	35%	7%	36	-1.8
✕Claudio Finol 2023 · AA	23	38	37→40	50→45	40	186/240/263	77	257	4	8	28%	6%	42	-2.9	207/267/299	92	292	8	10	30%	7%	61	-1.5	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Aaron Bracho 2023 · A	22	29→37	42→45	44→40	37	157/224/253	96	253	10	4	40%	7%	35	-3.4	193/255/314	121	256	14	5	30%	7%	61	-1.5	189/251/313	124	237	16	4	27%	7%	57	-1.0
✕Jacob Pearson 2022 · AA	24	37→39	42→40	48→50	43	189/244/290	101	253	9	11	29%	7%	50	-2.3	192/258/290	98	272	8	17	30%	7%	56	-1.9	174/247/262	88	248	6	22	30%	8%	43	-1.2
✕Tyler Esplin 2022 · A	23	38→39	37→40	49→45	41	181/245/253	71	281	4	6	35%	7%	42	-2.9	200/258/285	85	310	4	6	34%	7%	54	-2.0	204/265/288	85	331	0	0	36%	8%	54	-0.5
✕Tyler Baker 2016 · A	23	34	41→45	47→30	33	178/213/269	90	260	9	5	35%	4%	33	-3.6	185/241/281	96	290	7	4	36%	6%	47	-2.5	165/232/258	93	264	7	1	38%	7%	36	-1.2
✕Raul Siri 2018 · A	23	39	38→40	51→50	42	192/251/271	80	265	6	11	29%	7%	49	-2.4	199/265/283	84	347	5	9	41%	7%	57	-1.8	146/235/232	85	299	4	14	47%	8%	34	-0.6
✕Jobduan Morales 2014 · A	23	37	37→40	49→40	42	180/245/252	72	276	5	4	35%	8%	42	-2.9	199/259/286	87	302	7	5	34%	7%	55	-2.0	195/254/288	94	300	7	3	35%	7%	53	-1.0
✕Garrett Kennedy 2017 · A	24	36	40→45	45→30	41	179/235/273	93	253	7	4	31%	7%	42	-2.9	185/250/281	96	268	9	3	32%	7%	51	-2.2	164/237/255	91	233	9	0	32%	7%	38	-1.2
✕Jorge Saez 2014 · A	23	38	39→45	49→30	43	188/248/271	83	255	7	6	28%	7%	47	-2.5	196/263/293	97	280	8	3	31%	8%	58	-1.7	207/270/340	133	282	19	3	33%	7%	70	-0.3
✕Ethan Wilson 2023 · AA	23	39	40→45	50	38	195/235/287	91	258	8	16	28%	4%	45	-2.7	199/242/313	114	261	12	13	28%	5%	55	-2.0	189/234/311	122	243	14	12	28%	5%	50	-1.6
✕Chris Okey 2019 · AA	24	34	40→45	48→40	36	174/227/260	85	258	8	5	35%	5%	37	-3.3	193/249/301	108	284	12	4	34%	6%	55	-2.0	205/259/305	100	287	9	2	30%	5%	56	-0.6

Career Stats + Projections

Career Comps

Career Path Comps