Raimundo De Los Santos

Raimundo De Los SantosSS Dunedin Blue Jays

Age 21 S/R 5'10" / 147 lbs A Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION260 act + 9 ros · stats below = ROS only

showingROS

wRC+†48

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP304

ISO45

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED55

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	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-1	$0.8M	—	—	—
2035	Arb-2	$0.7M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$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)
2023	18	ROK	DSL Red Sox Blue	—	162	136	30	2	0	0	23	37	2	12	1	221	342	235	577	15	300	23	14	280	76	-5	+2	—	—	+4	0.1
2024	19	ROK	FCL Red Sox	—	182	151	35	7	0	0	30	49	1	28	8	232	363	278	641	46	343	27	16	308	94	-1	+2	—	—	+4	0.5
2025	20	ROK	FCL Blue Jays	—	170	144	39	5	1	0	26	33	0	11	5	271	382	319	702	49	351	19	15	330	109	+2	+0	—	—	+4	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Red Sox Blue	—	162	146	24	1	0	0	13	54	2	12	1	164	242	171	413	7	254	33	8	198	20	-15	+2	—	—	+4	-1.0
2024	19	ROK MLE	FCL Red Sox	—	182	162	27	5	0	0	19	69	1	28	8	167	258	198	456	31	287	38	10	214	31	-15	+2	—	—	+4	-0.9
2025	20	ROK MLE	FCL Blue Jays	—	170	154	31	4	1	0	16	47	0	11	5	201	276	240	517	39	288	28	9	235	45	-11	+0	—	—	+4	-0.7
2023	18	ROK MLE	DSL Red Sox Blue	—	162	146	24	1	0	0	13	54	2	12	1	164	242	171	413	7	258	33	8	198	20	—	—	—	—	—	—
2023	18	ROK RAW	DSL Red Sox Blue	—	162	136	30	2	0	0	23	37	2	12	1	221	342	235	577	15	300	23	14	280	20	—	—	—	—	—	—
2024	19	ROK MLE	FCL Red Sox	—	182	162	27	5	0	0	19	69	1	28	8	167	258	198	456	31	290	38	10	214	31	—	—	—	—	—	—
2024	19	ROK RAW	FCL Red Sox	—	182	151	35	7	0	0	30	49	1	28	8	232	363	278	641	46	343	27	16	308	31	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	170	154	31	4	1	0	16	47	0	11	5	201	276	240	517	39	290	28	9	235	45	—	—	—	—	—	—
2025	20	ROK RAW	FCL Blue Jays	—	170	144	39	5	1	0	26	33	0	11	5	271	382	319	702	49	351	19	15	330	45	—	—	—	—	—	—
2023	18	ROK MLE	DSL Red Sox Blue	—	162	146	24	1	0	0	13	54	2	12	1	164	242	171	413	7	254	33	8	198	20	—	—	—	—	—	—
2024	19	ROK MLE	FCL Red Sox	—	182	160	27	5	0	0	19	69	1	28	8	169	258	200	458	31	287	38	10	214	31	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	170	152	31	4	1	0	16	47	0	11	5	204	276	243	520	39	288	28	9	235	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Red Sox Blue	—	162	146	24	1	0	0	13	54	2	12	1	164	242	171	413	7	254	33	8	198	20	—	—	—	—	—	—
2024	19	ROK MLE	FCL Red Sox	—	182	160	27	5	0	0	19	69	1	28	8	169	258	200	458	31	287	38	10	214	31	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	170	152	31	4	1	0	16	47	0	11	5	204	276	243	520	39	288	28	9	235	45	—	—	—	—	—	—
YTD	21	A MLE	TOR	—	260	231	44	4	1	3	26	108	3	23	8	190	281	255	536	65	342	42	10	251	56	-14	+1	+0	+3	+6	-0.4
▸ 2026 season
YTD	21	A RAW	TOR	—	238	201	50	5	2	4	34	72	3	23	7	249	366	353	719	104	368	30	14	333	56	—	—	—	—	—	—
YTD	21	A+ RAW	TOR	—	22	21	6	0	0	0	1	4	0	0	1	286	318	286	604		353	18	5	279	56	—	—	—	—	—	—
ROS	21	A MLE	TOR	0%	9	8	1	0	0	0	1	3	0	1	0	125	222	125	347		303	33	11	239	48	-1	+0	+0	+0	+0	-0.0
TOT	21	A MLE	TOR	—	269	239	45	4	1	3	27	111	3	24	8	188	279	251	530	63	336	41	10	250	55	-14	+2	+0	+3	+6	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TOR	34%	299	266	51	7	1	3	29	105	2	13	4	192	276	259	535	68	305	35	10	257	60	-14	+1	+0	+3	+6	-0.3
2028	23	MLB MLE	TOR	48%	386	342	70	10	2	6	38	131	3	16	5	205	290	298	588	94	305	34	10	268	68	-15	+1	+0	+4	+8	-0.1
2029	24	MLB MLE	TOR	53%	444	393	82	12	2	8	44	147	4	19	6	209	295	310	605	102	305	33	10	275	72	-15	+1	+0	+5	+10	0.1
2030	25	MLB MLE	TOR	55%	475	421	88	13	2	9	47	156	4	20	7	209	294	314	608	105	305	33	10	278	74	-15	+1	+0	+5	+10	0.2
2031	26	MLB MLE	TOR	56%	492	436	90	13	2	9	49	161	4	21	7	206	292	307	600	101	305	33	10	279	75	-15	+1	+0	+5	+11	0.3
2032	27	MLB MLE	TOR	59%	497	440	91	13	2	9	50	163	4	21	7	207	294	307	600	100	305	33	10	279	75	-15	+1	+0	+5	+11	0.3
2033	28	MLB MLE	TOR	61%	495	438	90	13	2	9	50	163	4	20	7	205	293	306	599	100	304	33	10	278	74	-15	+1	-1	+5	+11	0.1
2034	29	MLB MLE	TOR	63%	488	431	89	13	2	9	50	162	4	18	6	206	295	309	603	102	304	33	10	276	73	-16	+1	-1	+5	+11	0.0
2035	30	MLB MLE	TOR	63%	478	422	87	12	2	9	49	160	4	16	5	206	295	308	603	102	303	33	10	274	71	-16	+1	-2	+5	+10	-0.2
2027	22	MLB CTX	TOR	34%	103	91	17	2	0	1	10	36	1	4	1	187	275	242	516	55	307	35	10	252	60	-5	+0	+0	+1	+2	-0.1
2028	23	MLB CTX	TOR	48%	187	165	34	5	1	3	18	63	2	8	3	206	292	303	595	97	307	34	10	263	68	-7	+0	+0	+2	+4	-0.1
2029	24	MLB CTX	TOR	53%	234	207	43	6	1	4	23	78	2	10	3	208	293	304	597	97	307	33	10	269	72	-8	+1	+0	+3	+5	0.1
2030	25	MLB CTX	TOR	55%	260	230	48	7	1	5	26	85	2	11	4	209	295	313	608	104	306	33	10	272	74	-8	+1	+0	+3	+6	0.1
2031	26	MLB CTX	TOR	56%	274	243	50	7	1	5	27	90	2	12	4	206	290	305	595	99	306	33	10	273	75	-8	+1	+0	+3	+6	0.2
2032	27	MLB CTX	TOR	59%	294	260	55	8	1	6	29	97	3	12	4	212	298	319	617	108	306	33	10	273	75	-9	+1	+0	+3	+6	0.2
2033	28	MLB CTX	TOR	61%	304	267	56	8	1	6	31	100	3	12	4	210	299	315	614	105	306	33	10	272	74	-9	+1	-0	+3	+7	0.1
2034	29	MLB CTX	TOR	63%	305	268	56	8	1	6	31	101	3	11	4	209	298	313	611	104	305	33	10	271	73	-10	+1	-1	+3	+7	-0.0
2035	30	MLB CTX	TOR	63%	303	266	55	8	1	5	31	101	3	10	3	207	297	301	597	94	304	33	10	268	71	-10	+1	-1	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2264	1997	414	59	8	41	226	751	21	90	30	207	295	306	601	99	306	33	10	270	68	-74	+6	-3	+24	+49	0.3
/ 162G	—	A+C		—	650	573	119	17	2	12	65	216	6	26	9	208	295	307	602	99	307	33	10	270	68	-21	+2	-1	+7	+14	0.1
Career	—	MLE		—	4577	4059	821	116	18	71	455	1521	36	216	68	202	288	292	581	90	302	33	10	268	68	-135	+11	-4	+44	+88	0.3
/ 162G	—	MLE		—	650	576	116	16	3	10	65	216	5	31	10	201	288	292	580	90	300	33	10	268	68	-22	+2	-1	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Chris 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
#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 6 projected seasons	3.7	2,458	41	99	205	289	301	+26	+18	1.3	1.6
/162	664	11	27	+7.1	+4.9	0.4	pk7: 2
#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
Raimundo De Los Santos (OGILVIE)	21	40	20	55	55	182/269/233	51	303	1	11	37%	10%	48	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕Nasim Nuñez 2021 · A	20	41→49	35→30	57→65	47	191/265/249	58	276	2	20	30%	9%	49	-2.4	210/296/260	50	309	2	38	29%	11%	63	-1.3	208/293/264	56	293	5	52	28%	10%	61	-1.2
✕Candido Pimentel 2011 · A	21	46	35→30	52→55	48	214/283/275	61	298	2	17	27%	9%	61	-1.5	224/280/278	54	315	2	15	27%	7%	60	-1.6	238/288/280	42	332	1	17	27%	6%	59	-0.6
✕Ismael Dionicio 2012 · A	21	45	34→30	49→55	41	211/261/260	49	295	1	18	28%	6%	49	-2.4	231/282/282	51	309	1	15	24%	6%	61	-1.5	240/289/278	37	319	0	15	23%	6%	60	-0.5
✕Adenson Chourio 2006 · A	20	43	35→30	49→60	39	198/259/256	57	313	3	18	35%	7%	48	-2.5	235/303/283	48	299	1	30	20%	8%	70	-0.8	253/325/287	34	313	1	39	18%	8%	76	-0.2
✕Reidy Mercado 2022 · A	21	42	37→30	56→60	39	198/253/268	70	293	4	21	32%	6%	48	-2.5	188/237/241	53	306	2	20	37%	6%	36	-3.4	169/216/203	34	277	1	31	37%	5%	16	-1.3
✕Juan Mosquera 2009 · A	21	43	33→30	46→55	52	197/290/240	43	280	1	14	27%	10%	57	-1.8	202/267/260	58	263	3	9	22%	8%	51	-2.2	183/242/211	28	222	0	9	16%	7%	28	-1.0
✕Jose Montecino 2011 · A	21	43	33→30	51→55	50	199/285/243	44	271	1	20	25%	9%	56	-1.9	204/291/268	64	279	3	16	25%	10%	63	-1.3	166/290/201	35	220	0	27	21%	14%	49	-0.4
✕Alfredo Angarita 2018 · A	21	41	35→30	51→55	49	194/273/255	61	268	2	16	27%	9%	53	-2.1	200/264/256	56	287	2	10	28%	7%	49	-2.4	192/256/235	43	276	1	9	28%	7%	39	-1.4
✕Jesus Galindo 2012 · A	21	45→51	34→30	57→65	50	206/291/259	54	283	2	29	26%	9%	61	-1.5	229/284/290	61	310	2	34	25%	6%	64	-1.3	235/286/299	64	320	2	38	25%	5%	64	-0.8
✕Lucius Fox 2018 · A	21	45→49	36→40	52→60	41	208/271/274	66	309	4	20	32%	7%	57	-1.8	211/280/284	73	297	4	24	28%	7%	63	-1.4	189/252/269	80	275	7	24	32%	7%	45	-1.0
✕Yonki Hernandez 2012 · A	21	41	36→40	53→55	47	189/286/258	68	278	3	17	30%	9%	60	-1.6	197/263/272	75	318	4	18	36%	7%	53	-2.1	179/228/215	36	302	3	27	40%	6%	23	-1.0
✕Chris Garia 2014 · A	21	41→51	35→40	52→60	40	195/246/255	60	265	3	17	26%	5%	42	-2.9	228/268/328	100	304	7	28	26%	4%	67	-1.1	232/271/341	109	306	8	32	26%	4%	67	-0.6
✕Kenny Wilson 2011 · A	21	37→47	35→40	56→60	40	173/246/227	54	279	2	26	36%	7%	37	-3.3	197/268/268	71	292	4	28	31%	7%	55	-2.0	200/268/290	91	305	7	22	34%	7%	57	-0.7
✕Jose Curpa 2022 · A	22	40	36→30	58→55	46	185/273/254	70	286	2	24	33%	10%	54	-2.0	204/289/287	83	310	5	17	32%	9%	68	-1.0	191/292/252	60	291	4	23	31%	10%	59	-0.4
✕Fernando Garcia 2009 · A	21	39	36→30	51→55	40	188/245/251	63	268	3	17	30%	6%	41	-3.0	208/277/273	65	280	2	18	24%	8%	59	-1.7	208/284/267	59	276	1	22	23%	8%	57	-0.9
✕Chris Torres 2018 · A	20	43→37	36→30	51→55	44	200/268/273	72	300	3	14	32%	8%	55	-2.0	198/277/264	66	328	4	12	36%	10%	57	-1.8	180/269/235	55	301	3	15	37%	11%	44	-1.4
✕Dreily Guerrero 2012 · A	21	38	35→30	54→55	40	180/239/245	66	276	2	13	34%	7%	38	-3.2	178/224/242	64	308	3	9	41%	5%	31	-3.7	151/191/213	63	274	5	12	45%	5%	10	-1.5
✕Juan Fuente 2015 · A	21	49	35→30	50→55	43	219/301/277	58	335	2	18	32%	8%	70	-0.9	221/284/302	81	298	5	16	26%	6%	68	-1.0	219/274/305	85	280	6	24	23%	4%	61	-0.6

Career Stats + Projections

Career Comps

Career Path Comps