Yordany De Los Santos

Yordany De Los SantosSS Bradenton Marauders

Age 21 R/R 6'1" / 170 lbs A BB +7% Svc 0.0 · Ctrl thru 2036 peak 1.9 · 2030

wRC+†53

AVG/OBP/SLG.193 / .256 / .301

PA320

HR6

SB13

K%35

BB%7

MLB%0%

Scouting · now → future

HIT

45→45

PWR

50→50

SPD

55→55

FLD

55→55

EYE

42↗47

trajectory · 10 yrs

1.7peak

2031

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	Arb-3	$0.9M	+1.9	$18M	+$17M
2032	Ext / FA-deal	$0.9M	+1.9	$18M	+$17M
2033	Ext / FA-deal	$1.0M	+1.8	$18M	+$17M
2034	Ext / FA-deal	$3M	+1.5	$15M	+$12M
2035	Ext / FA-deal	$4M	+1.3	$14M	+$9M
2036	Ext / FA-deal	$4M	+1.0	$11M	+$6M
Totals		$15M		$93M	+$78M

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
2022	17	ROK	DSL PIT Gold	234	201	36	10	1	1	21	68	6	14	3	.179	.276	.254	.530	.075	.254	29	9	.237	40	-16	+2	+0	+3	+7	-0.5
2023	18	A	2 teams	231	199	34	7	0	2	21	100	7	22	4	.171	.273	.236	.509	.065	.320	43	9	.234	37	-16	+3	+0	+2	+7	-0.5
2024	19	ROK	2 teams	317	288	67	9	3	5	21	86	4	34	6	.233	.294	.337	.631	.104	.313	27	7	.271	65	-12	+4	+0	+3	+9	0.4
2025	20	A	Bradenton Marauders	512	473	93	21	2	9	28	195	4	51	14	.197	.248	.307	.554	.110	.305	38	5	.243	44	-32	+5	+0	+5	+15	-0.8
▸ 2026 Season
2026	21	MLB	PIT	320	292	57	11	1	6	22	113	3	13	3	.195	.259	.301	.560	.106	.289	35	7	.254	53	-17	+1	+1	+3	+9	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	PIT	550	498	102	19	2	13	41	183	6	22	5	.205	.273	.329	.603	.124	.291	33	7	.272	66	-21	+2	+2	+6	+16	0.5
2028	23	MLB 28%	PIT	595	538	114	21	3	16	46	191	6	22	5	.212	.281	.351	.633	.139	.292	32	8	.283	75	-17	+2	+2	+6	+17	1.1
2029	24	MLB 45%	PIT	624	561	122	23	3	18	51	195	7	22	5	.217	.291	.365	.656	.148	.292	31	8	.290	80	-14	+2	+2	+7	+18	1.6
2030	25	MLB 60%	PIT	640	575	125	23	3	19	53	198	7	21	4	.217	.291	.367	.658	.150	.293	31	8	.295	84	-12	+3	+2	+7	+18	1.9
2031	26	MLB 77%	PIT	648	581	127	24	3	19	55	200	7	20	4	.219	.294	.368	.662	.150	.294	31	8	.297	85	-11	+2	+2	+7	+18	1.9
2032	27	MLB 92%	PIT	648	580	126	23	3	19	56	201	7	19	4	.217	.294	.366	.659	.148	.294	31	9	.297	85	-11	+2	+2	+7	+18	1.9
2033	28	MLB	PIT	643	575	125	23	3	19	56	201	7	17	3	.217	.295	.367	.662	.150	.293	31	9	.295	84	-11	+2	+2	+7	+18	1.8
2034	29	MLB	PIT	633	566	122	23	3	18	55	199	7	15	3	.216	.293	.362	.655	.147	.292	31	9	.293	83	-12	+2	+1	+7	+18	1.5
2035	30	MLB	PIT	623	556	118	22	2	18	55	198	7	14	2	.212	.291	.356	.647	.144	.291	32	9	.290	80	-14	+2	+0	+7	+18	1.3
2036	31	MLB	PIT	608	544	114	21	2	17	53	196	6	11	1	.210	.287	.349	.636	.140	.289	32	9	.286	77	-16	+2	-1	+7	+17	1.0
2037	32	MLB	PIT	590	528	109	20	2	16	51	193	6	9	0	.206	.284	.343	.627	.136	.288	33	9	.282	74	-17	+2	-1	+6	+17	0.6
2038	33	MLB	PIT	560	500	101	18	2	14	49	187	6	7	0	.202	.281	.330	.611	.128	.286	33	9	.276	70	-19	+1	-2	+6	+16	0.2
2039	34	MLB	PIT	513	459	90	16	2	12	44	176	5	6	0	.196	.274	.318	.592	.122	.284	34	9	.270	65	-20	+1	-3	+5	+15	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			9489	8514	1782	334	40	241	778	3080	108	339	66	.209	.284	.343	.627	.134	.294	32	8	.281	73	-290	+41	+10	+102	+269	13.5
/ 162G	—			650	583	123	23	3	17	53	211	7	23	5	.211	.284	.348	.632	.137	.295	32	8	.281	73	-20	+3	+1	+7	+18	0.9

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
2022	17	ROK	DSL PIT Gold	234	190	49	15	1	1	32	45	6	14	3	.258	.382	.363	.745	.105	.320	19	14	.336	115	+4	+2	—	—	+7	1.3
2023	18	A	Bradenton Marauders	153	125	23	4	1	1	22	60	4	9	3	.184	.325	.256	.581	.072	.338	39	14	.278	71	-5	+1	—	—	+4	-0.0
2023	18	ROK	FCL Pirates	78	66	21	6	0	1	7	11	3	13	1	.318	.408	.455	.862	.136	.357	14	9	.379	148	+4	+2	—	—	+2	0.9
2024	19	A	Bradenton Marauders	101	87	17	3	0	1	13	22	0	10	0	.195	.300	.264	.564	.069	.250	22	13	.265	61	-4	+2	—	—	+3	0.0
2024	19	ROK	FCL Pirates	216	192	66	8	4	5	17	39	4	24	6	.344	.408	.505	.914	.161	.409	18	8	.399	164	+16	+2	—	—	+6	2.5
2025	20	A	Bradenton Marauders	512	461	115	27	2	11	40	137	4	51	14	.249	.315	.388	.703	.139	.326	27	8	.312	97	-2	+5	—	—	+15	1.7

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
Yordany De Los Santos (OGILVIE)	21	45	50	55	47	.193/.256/.301	.108	.289	6	13	35%	7%	53	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daz Cameron 2018 · A	21	40→45	44→55	52→55	41	.201/.263/.319	.117	.279	11	19	31%	6%	59	-1.1	.203/.270/.325	.122	.295	10	17	33%	7%	65	-0.7	.220/.291/.388	.168	.274	20	25	27%	8%	88	+0.6
✕Liover Peguero 2022 · A	21	46	45→50	54→55	38	.225/.272/.346	.121	.320	12	21	33%	6%	69	-0.4	.222/.265/.341	.119	.300	13	21	29%	5%	66	-0.6	.214/.264/.343	.129	.276	16	18	28%	6%	64	-0.6
✕Masyn Winn 2022 · A	20	41→51	40→50	56→55	42	.202/.257/.295	.093	.281	7	21	30%	7%	50	-1.7	.228/.284/.359	.131	.288	12	22	24%	7%	78	+0.2	.239/.295/.382	.143	.285	14	19	21%	7%	86	+0.8
✕Jonathan Galvez 2012 · A	21	45→48	45	53→55	40	.220/.280/.348	.128	.315	12	19	33%	7%	74	-0.1	.231/.282/.345	.114	.322	10	17	30%	6%	74	-0.1	.232/.285/.339	.107	.315	9	15	28%	6%	70	-0.2
✕Sean Henry 2007 · A	21	41→51	45→50	55	43	.207/.263/.330	.123	.274	12	23	29%	7%	62	-0.9	.238/.291/.367	.129	.293	12	17	22%	6%	83	+0.6	.247/.300/.379	.132	.296	12	17	20%	6%	87	+0.7
✕Kyren Paris 2023 · AA	21	41→46	45	59→60	41	.194/.274/.319	.125	.313	12	26	39%	8%	65	-0.7	.193/.278/.319	.126	.311	13	30	39%	9%	67	-0.5	.179/.270/.309	.131	.284	15	35	39%	10%	59	-0.7
✕Kuo Hui Lo 2007 · A	21	45→52	40→50	56→55	39	.214/.271/.302	.088	.313	7	23	32%	6%	58	-1.2	.225/.279/.336	.111	.308	9	21	28%	6%	69	-0.4	.224/.274/.353	.129	.294	12	20	27%	6%	70	-0.2
✕Rymer Liriano 2012 · A	21	47→52	44→45	56→55	40	.229/.276/.350	.120	.305	11	27	28%	6%	72	-0.2	.237/.287/.357	.120	.328	11	24	29%	6%	79	+0.3	.232/.293/.353	.121	.333	12	20	32%	6%	78	+0.2
✕Johan Rojas 2022 · A	21	45→55	44→45	55→65	43	.221/.274/.341	.120	.281	11	21	25%	6%	69	-0.4	.232/.276/.342	.110	.293	9	36	23%	5%	70	-0.3	.258/.299/.360	.102	.324	7	41	22%	5%	80	+0.3
✕Tyler Goeddel 2014 · A	21	44→49	40→45	59→55	41	.210/.263/.309	.099	.290	7	20	29%	6%	56	-1.3	.223/.279/.336	.113	.300	9	18	27%	6%	70	-0.3	.225/.286/.343	.117	.296	10	18	26%	7%	72	-0.1
✕Luisangel Acuña 2023 · AA	21	46→56	44→45	57→60	43	.225/.283/.341	.116	.310	13	30	30%	7%	73	-0.1	.243/.289/.344	.101	.313	9	35	24%	6%	76	+0.0	.250/.292/.338	.089	.311	7	40	21%	5%	72	-0.1
✕Roman Quinn 2014 · A	21	42→52	43→45	56→65	40	.210/.265/.316	.105	.279	11	25	28%	6%	59	-1.1	.236/.295/.337	.101	.319	9	33	27%	6%	77	+0.1	.253/.313/.351	.098	.343	7	42	26%	7%	84	+0.4
✕Bubba Thompson 2019 · A	21	45→55	42→50	55→65	32	.212/.253/.323	.111	.332	9	21	38%	4%	56	-1.3	.198/.243/.314	.116	.315	10	20	39%	5%	49	-1.8	.241/.284/.369	.129	.334	12	46	30%	4%	77	+0.1
✕Miguel Hiraldo 2023 · A	22	40→47	42→45	56→55	37	.197/.248/.304	.107	.299	10	21	36%	6%	49	-1.8	.209/.256/.315	.106	.331	10	20	38%	5%	55	-1.4	.212/.260/.311	.099	.339	10	22	38%	5%	52	-0.8
✕Samad Taylor 2019 · A	21	39→49	41→50	54→65	45	.193/.257/.297	.104	.249	7	21	25%	7%	51	-1.7	.189/.265/.305	.116	.284	10	24	35%	8%	57	-1.2	.236/.312/.377	.141	.324	16	46	30%	9%	94	+0.8
✕Ryan McKenna 2018 · A	21	43→53	42→50	52→55	39	.210/.265/.317	.107	.297	9	12	31%	6%	59	-1.1	.226/.289/.332	.106	.311	9	12	28%	7%	73	-0.1	.218/.295/.357	.140	.319	16	13	34%	9%	80	+0.2
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	.207/.272/.315	.108	.262	11	18	25%	7%	63	-0.9	.208/.274/.359	.151	.269	18	18	29%	7%	75	-0.0	.178/.268/.330	.152	.242	18	26	33%	8%	64	-0.3
✕Daniel Carroll 2011 · A	22	44→50	40→45	55→60	35	.207/.265/.296	.089	.314	8	24	35%	5%	55	-1.4	.224/.298/.344	.120	.336	13	30	34%	8%	81	+0.4	.206/.291/.310	.104	.316	10	35	35%	8%	68	-0.3
✕Jorge Mateo 2015 · A	20	43→46	41→50	60→65	44	.207/.271/.306	.098	.280	8	29	28%	7%	59	-1.1	.207/.252/.306	.099	.292	6	37	30%	5%	50	-1.7	.217/.264/.366	.149	.272	14	44	25%	5%	70	-0.2
✕Jeffrey Baez 2015 · A	21	42→46	42→50	55→60	37	.204/.253/.310	.105	.294	9	21	33%	5%	53	-1.5	.210/.253/.317	.107	.274	10	23	26%	5%	53	-1.5	.195/.249/.339	.144	.260	18	15	32%	6%	56	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)