Omar De Los Santos

Omar De Los SantosOF Binghamton Rumble Ponies

Age 26 R/R 6'2" / 172 lbs AA H +5%HR +3% Svc 0.0 · Ctrl thru 2034

wRC+†34

AVG/OBP/SLG.169 / .218 / .290

PA178

HR5

SB11

K%44

BB%5

MLB%2%

Scouting · now → future

HIT

20→20

PWR

41→41

SPD

80→80

EYE

40→40

trajectory · 10 yrs

-0.9peak

2026

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$-18M		$-46M	-$28M

Underwater contract
Projected production over the remaining contract is worth -$28M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2019	19	ROK	DSL Mets 2	251	229	45	5	4	3	12	60	8	13	2	.197	.261	.293	.554	.096	.250	24	5	.241	43	-16	+2	+0	-2	+7	-0.9
2021	21	A	2 teams	173	164	29	5	2	2	5	77	3	14	1	.177	.215	.268	.483	.091	.314	45	3	.220	27	-14	+2	+0	-1	+5	-0.8
2022	22	A	St. Lucie Mets	478	442	86	18	4	12	24	222	10	70	15	.195	.252	.335	.587	.140	.352	46	5	.253	52	-26	+8	+0	-3	+14	-0.8
2023	23	A+	Brooklyn Cyclones	400	376	55	9	0	5	12	185	8	37	13	.146	.189	.210	.400	.064	.265	46	3	.180	-4	-47	+2	+0	-2	+11	-3.7
2024	24	A+	2 teams	327	300	41	5	3	7	19	127	4	45	8	.137	.198	.243	.441	.107	.201	39	6	.197	9	-34	+6	+0	-2	+9	-2.1
2025	25	AA	2 teams	159	152	29	2	3	5	4	82	2	19	5	.191	.222	.342	.564	.151	.369	52	3	.228	33	-12	+2	+0	-1	+5	-0.7
▸ 2026 Season
2026	26	MLB	NYM	178	166	29	4	1	5	8	79	2	11	3	.175	.222	.301	.523	.127	.283	44	4	.229	34	-13	+1	+0	-1	+5	-0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 11%	NYM	264	245	44	7	2	7	14	112	3	15	4	.180	.233	.310	.543	.131	.285	42	5	.239	41	-18	+1	+0	-2	+7	-1.1
2028	28	MLB 22%	NYM	316	292	53	8	2	8	18	130	3	17	4	.182	.236	.305	.541	.123	.285	41	6	.244	45	-20	+2	-1	-2	+9	-1.2
2029	29	MLB 34%	NYM	336	310	57	9	2	9	19	136	4	18	4	.184	.240	.313	.553	.129	.285	40	6	.246	46	-20	+2	-1	-2	+10	-1.2
2030	30	MLB 44%	NYM	350	323	59	9	2	9	20	141	4	17	4	.183	.239	.307	.546	.124	.283	40	6	.245	46	-22	+2	-2	-2	+10	-1.4
2031	31	MLB 53%	NYM	341	314	56	9	2	8	20	139	4	15	3	.178	.237	.296	.533	.118	.281	41	6	.241	43	-22	+2	-3	-2	+10	-1.6
2032	32	MLB 64%	NYM	325	300	53	8	2	8	19	134	3	13	3	.177	.233	.297	.530	.120	.280	41	6	.236	39	-22	+1	-4	-2	+9	-1.8
2033	33	MLB 82%	NYM	298	276	48	7	2	7	17	125	3	11	2	.174	.230	.290	.520	.116	.278	42	6	.231	35	-22	+1	-4	-2	+8	-1.8
2034	34	MLB	NYM	256	237	39	6	1	5	15	109	2	9	2	.165	.220	.262	.482	.097	.276	43	6	.225	30	-20	+1	-5	-2	+7	-1.9
▸ Career Totals (MLE all levels + projections)
Career	—			4452	4126	723	111	32	100	226	1858	63	324	73	.175	.229	.290	.520	.115	.284	42	5	.231	35	-328	+36	-20	-27	+126	-21.7
/ 162G	—			650	602	106	16	5	15	33	271	9	47	11	.176	.230	.294	.524	.118	.284	42	5	.231	35	-48	+5	-3	-4	+18	-3.2

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	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2019	19	ROK	DSL Mets 2	251	219	60	7	6	4	22	42	8	13	2	.274	.361	.416	.777	.142	.320	17	9	.347	124	+7	+2	—	—	+7	1.6
2021	21	A	St. Lucie Mets	144	133	32	8	2	0	7	50	3	12	1	.241	.294	.331	.625	.090	.381	35	5	.281	73	-4	+2	—	—	+4	0.2
2021	21	ROK	FCL Mets	29	28	12	0	1	3	1	3	0	2	0	.429	.448	.821	1.270	.393	.409	10	3	.545	275	+6	+0	—	—	+1	0.7
2022	22	A	St. Lucie Mets	478	431	117	23	5	16	35	151	10	70	15	.271	.340	.459	.800	.188	.380	32	7	.353	128	+15	+8	—	—	+14	3.8
2023	23	A+	Brooklyn Cyclones	400	368	76	15	1	7	20	144	8	37	13	.207	.263	.310	.572	.103	.314	36	5	.258	56	-20	+2	—	—	+11	-0.7
2024	24	AA	Binghamton Rumble Ponies	24	22	3	0	0	2	1	11	0	2	1	.136	.174	.409	.583	.273	.100	46	4	.240	42	-2	+0	—	—	+1	-0.1
2024	24	A+	Brooklyn Cyclones	303	265	52	7	4	8	30	86	4	43	7	.196	.287	.343	.630	.147	.254	28	10	.283	75	-9	+6	—	—	+9	0.6
2025	25	AAA	Syracuse Mets	33	33	10	0	1	3	0	14	0	2	2	.303	.303	.636	.939	.333	.438	42	0	.403	166	+2	-0	—	—	+1	0.3
2025	25	AA	Binghamton Rumble Ponies	126	118	25	2	2	4	5	52	2	17	3	.212	.256	.364	.620	.153	.339	41	4	.274	68	-5	+2	—	—	+4	0.1

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
Omar De Los Santos (OGILVIE)	26	20	41	80	40	.169/.218/.290	.121	.283	5	11	44%	5%	34	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler Tolbert 2023 · A	25	40→48	39→45	70→65	42	.190/.259/.286	.096	.283	5	39	33%	8%	49	-1.8	.212/.268/.313	.101	.299	7	40	30%	6%	59	-1.1	.217/.271/.316	.099	.300	8	48	29%	5%	58	-0.9
✕Marland Williams 2007 · AAA	26	38	43→45	61→60	38	.190/.247/.302	.112	.295	10	36	38%	7%	48	-1.9	.185/.243/.303	.118	.343	13	25	46%	7%	47	-1.9	.152/.210/.269	.117	.302	15	23	52%	6%	20	-2.3
✕Nick Heath 2020 · AAA	26	45→38	39→40	63→65	40	.206/.267/.291	.085	.334	7	43	38%	8%	53	-1.5	.198/.267/.301	.103	.336	9	36	40%	8%	56	-1.3	.172/.253/.274	.102	.308	8	36	43%	8%	41	-1.0
✕Stephen Wrenn 2021 · AA	26	41→43	42→45	59→60	39	.200/.260/.310	.111	.293	9	26	34%	6%	56	-1.3	.207/.268/.324	.117	.323	12	22	37%	6%	63	-0.8	.189/.251/.296	.108	.301	12	29	39%	5%	47	-1.1
✕Tanner English 2018 · AAA	25	38→45	41→45	60→55	39	.179/.255/.280	.101	.298	8	27	40%	8%	46	-2.0	.173/.230/.274	.101	.298	8	20	42%	6%	33	-2.9	.156/.201/.253	.097	.259	7	19	41%	4%	12	-1.8
✕Terrance Gore 2017 · AAA	26	47→40	33→30	67→70	41	.219/.270/.258	.039	.300	1	53	26%	6%	46	-2.0	.207/.263/.259	.052	.288	2	43	27%	6%	43	-2.2	.191/.254/.237	.046	.275	1	52	28%	6%	31	-1.0
✕Steward Berroa 2023 · AA	24	40→49	44→45	68→65	45	.197/.272/.318	.121	.284	11	45	33%	9%	63	-0.8	.217/.291/.328	.111	.321	10	46	32%	9%	73	-0.1	.222/.301/.321	.099	.325	9	52	31%	9%	73	-0.1
✕Kevin Mattison 2012 · AAA	26	42→47	42→45	60	40	.205/.262/.316	.111	.273	9	30	28%	6%	58	-1.2	.191/.248/.300	.109	.292	9	24	36%	6%	48	-1.9	.166/.224/.274	.107	.271	10	25	40%	6%	29	-2.0
✕Champ Stuart 2018 · AA	25	38→39	38→30	59→60	35	.176/.240/.250	.074	.321	6	30	44%	7%	32	-3.0	.190/.261/.289	.099	.325	10	27	41%	8%	51	-1.7	.105/.207/.202	.096	.168	15	37	45%	11%	5	-1.1
✕Ryan Strausborger 2015 · AAA	27	44→45	41→45	61→55	40	.216/.257/.320	.104	.275	8	23	24%	4%	56	-1.3	.215/.261/.318	.103	.278	10	26	25%	5%	58	-1.2	.204/.256/.297	.093	.271	9	28	27%	5%	48	-0.9
✕Simon Whiteman 2023 · AA	26	40→44	37→30	58→55	42	.182/.263/.250	.067	.302	4	26	38%	9%	42	-2.3	.195/.265/.272	.077	.291	6	20	32%	8%	48	-1.9	.190/.256/.259	.069	.262	5	20	28%	8%	38	-1.0
✕Duke Ellis 2023 · AA	25	43→48	40→45	60→70	37	.206/.261/.293	.086	.312	8	36	35%	6%	52	-1.6	.215/.274/.308	.093	.323	8	51	34%	7%	61	-1.0	.237/.288/.340	.103	.333	10	91	30%	6%	72	-0.1
✕Jorge Mateo 2020 · AAA	25	40→46	43→50	59→65	35	.200/.239/.322	.123	.289	9	25	34%	4%	49	-1.8	.215/.256/.344	.129	.298	11	24	31%	4%	63	-0.9	.217/.264/.366	.149	.272	14	44	25%	5%	70	-0.2
✕Adam Engel 2017 · AAA	25	44→48	40→50	61→60	40	.209/.265/.309	.100	.296	7	33	31%	6%	57	-1.2	.206/.263/.325	.119	.289	10	21	31%	6%	61	-1.0	.227/.287/.366	.138	.305	13	23	28%	5%	79	+0.1
✕Michael Reed 2021 · AA	26	39→42	44→45	56→55	35	.195/.242/.312	.117	.297	13	26	38%	5%	49	-1.8	.197/.256/.292	.095	.331	9	18	40%	7%	50	-1.8	.178/.243/.266	.089	.301	9	22	41%	7%	34	-0.7
✕Junior Arias 2016 · A	24	41→43	43→45	57→60	33	.205/.243/.309	.103	.303	11	33	35%	4%	48	-1.9	.211/.254/.345	.134	.321	16	20	38%	5%	62	-0.9	.203/.239/.376	.173	.298	24	17	40%	4%	60	-0.4
✕Aaron Whitefield 2022 · AA	25	42→45	38→40	56→60	37	.197/.249/.275	.078	.308	6	29	36%	6%	41	-2.3	.212/.269/.327	.115	.325	11	31	36%	7%	64	-0.8	.197/.256/.327	.130	.308	13	40	38%	7%	56	-0.5
✕Jacob Hannemann 2017 · AA	26	43	43→45	58→60	40	.210/.259/.324	.113	.279	9	23	28%	5%	59	-1.1	.200/.252/.308	.108	.267	9	26	28%	5%	52	-1.6	.188/.240/.285	.097	.249	9	29	27%	5%	38	-1.5
✕Granden Goetzman 2019 · AAA	26	43→46	42→45	56→55	37	.213/.246/.327	.114	.283	9	20	28%	4%	53	-1.5	.201/.250/.342	.141	.279	16	7	33%	6%	60	-1.0	.170/.226/.315	.146	.227	20	1	35%	6%	43	-1.3
✕Wes Rogers 2019 · AA	25	45→51	39→40	59→65	42	.217/.269/.305	.088	.291	6	33	27%	6%	57	-1.2	.198/.256/.280	.082	.303	6	18	34%	7%	46	-2.0	.164/.230/.230	.066	.276	3	12	39%	7%	20	-1.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)