Raudy De Los Santos

Raudy De Los SantosSS FCL Tigers

Age 23 R/R 5'11" / 155 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 69 proj PA

wRC+†66

AVG/OBP/SLG.212 / .278 / .301

PA6

HR0

K%25

BB%7

ISO90

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.7M	+$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 Tigers	—	141	123	37	4	1	0	15	20	1	12	7	301	381	350	731	49	352	14	11	333	111	+2	-0	—	—	+3	0.5
2022	19	ROK	FCL Tigers	—	131	121	24	4	2	0	9	25	1	7	1	198	260	264	524	66	250	19	7	242	50	-8	+1	—	—	+3	-0.4
2023	20	ROK	FCL Tigers	—	124	97	14	4	3	1	24	18	2	10	7	144	325	278	604	134	165	15	19	288	81	-3	-1	—	—	+3	-0.1
2024	21	ROK	FCL Tigers	—	136	119	29	5	1	0	11	16	3	9	4	244	323	303	626	59	279	12	8	285	79	-3	+0	—	—	+3	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Tigers	—	141	129	28	3	1	0	9	29	1	12	7	217	273	256	529	39	258	21	6	231	42	-10	-0	—	—	+3	-0.7
2022	19	ROK MLE	FCL Tigers	—	131	124	17	3	1	0	6	37	1	7	1	137	183	177	361	40	191	28	5	161	-5	-16	+1	—	—	+3	-1.3
2023	20	ROK MLE	FCL Tigers	—	124	106	11	3	2	1	15	27	2	10	7	104	228	198	426	94	121	22	12	196	19	-12	-1	—	—	+3	-1.0
2024	21	ROK MLE	FCL Tigers	—	136	124	23	4	1	0	6	23	3	9	4	185	241	234	474	48	215	17	4	205	25	-12	+0	—	—	+3	-0.9
2021	18	ROK MLE	DSL Tigers	—	141	129	28	3	1	0	9	29	1	12	7	217	273	256	529	39	275	21	6	231	42	—	—	—	—	—	—
2021	18	ROK RAW	DSL Tigers	—	141	123	37	4	1	0	15	20	1	12	7	301	381	350	731	49	352	14	11	333	42	—	—	—	—	—	—
2022	19	ROK MLE	FCL Tigers	—	131	124	17	3	1	0	6	37	1	7	1	137	183	177	361	40	195	28	5	161	-5	—	—	—	—	—	—
2022	19	ROK RAW	FCL Tigers	—	131	121	24	4	2	0	9	25	1	7	1	198	260	264	524	66	250	19	7	242	-5	—	—	—	—	—	—
2023	20	ROK MLE	FCL Tigers	—	124	106	11	3	2	1	15	27	2	10	7	104	228	198	426	94	127	22	12	196	19	—	—	—	—	—	—
2023	20	ROK RAW	FCL Tigers	—	124	97	14	4	3	1	24	18	2	10	7	144	325	278	604	134	165	15	19	288	19	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	136	124	23	4	1	0	6	23	3	9	4	185	241	234	474	48	225	17	4	205	25	—	—	—	—	—	—
2024	21	ROK RAW	FCL Tigers	—	136	119	29	5	1	0	11	16	3	9	4	244	323	303	626	59	279	12	8	285	25	—	—	—	—	—	—
2021	18	ROK MLE	DSL Tigers	—	141	130	28	3	1	0	9	29	1	12	7	215	273	254	527	38	258	21	6	231	42	—	—	—	—	—	—
2022	19	ROK MLE	FCL Tigers	—	131	123	17	3	1	0	6	37	1	7	1	138	183	179	362	41	191	28	5	161	-5	—	—	—	—	—	—
2023	20	ROK MLE	FCL Tigers	—	124	106	11	3	2	1	15	27	2	10	7	104	228	198	426	94	121	22	12	196	19	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	136	126	23	4	1	0	6	23	3	9	4	183	241	230	471	48	215	17	4	205	25	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	FCL Tigers	—	124	106	11	3	2	1	15	27	2	10	7	104	228	198	426	94	121	22	12	196	19	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	136	126	23	4	1	0	6	23	3	9	4	183	241	230	471	48	215	17	4	205	25	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	DET	0%	6	6	1	0	0	0	0	2	0	0	0	167	167	167	333		282	33	0	265	66	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	30%	109	99	21	4	1	1	8	27	1	3	1	212	278	303	581	91	284	25	7	276	73	-4	+0	+0	+1	+2	0.0
2028	25	MLB MLE	DET	44%	226	205	46	8	2	4	17	55	2	6	1	224	290	341	632	117	285	24	8	283	77	-6	+1	+0	+2	+5	0.2
2029	26	MLB MLE	DET	51%	310	280	63	11	3	6	24	76	3	9	2	225	293	350	643	125	285	25	8	287	80	-7	+1	+0	+3	+7	0.4
2030	27	MLB MLE	DET	52%	357	322	73	13	3	7	28	87	4	10	2	227	297	351	648	124	285	24	8	288	81	-8	+1	+0	+4	+8	0.5
2031	28	MLB MLE	DET	53%	385	347	78	14	3	7	31	94	4	10	2	225	296	343	639	118	285	24	8	287	80	-9	+1	-1	+4	+8	0.4
2032	29	MLB MLE	DET	53%	396	357	79	14	3	7	32	98	4	11	2	221	293	336	629	115	284	25	8	285	79	-10	+1	-1	+4	+9	0.3
2033	30	MLB MLE	DET	52%	400	361	79	14	3	7	32	100	4	11	2	219	290	332	622	114	283	25	8	283	78	-11	+1	-2	+4	+9	0.2
2034	31	MLB MLE	DET	56%	394	356	77	14	3	6	31	100	4	10	2	216	286	323	609	107	281	25	8	279	75	-12	+1	-3	+4	+9	-0.1
2027	24	MLB CTX	DET	30%	33	31	6	1	0	0	2	8	0	1	0	194	242	226	468	32	279	24	6	264	73	-1	+0	+0	+0	+1	0.0
2028	25	MLB CTX	DET	44%	100	91	21	4	1	2	8	24	1	3	1	231	300	363	663	132	280	24	8	270	77	-3	+0	+0	+1	+2	0.1
2029	26	MLB CTX	DET	51%	157	142	32	6	1	3	12	38	2	4	1	225	295	345	640	120	281	24	8	274	80	-4	+0	+0	+2	+3	0.2
2030	27	MLB CTX	DET	52%	187	168	38	7	2	3	15	46	2	5	1	226	297	345	643	119	281	25	8	276	81	-4	+1	+0	+2	+4	0.2
2031	28	MLB CTX	DET	53%	205	185	41	7	2	4	16	50	2	6	1	222	291	346	637	124	280	24	8	275	80	-5	+1	-0	+2	+4	0.2
2032	29	MLB CTX	DET	53%	208	187	41	7	2	3	17	51	2	6	1	219	291	326	617	107	280	25	8	273	79	-5	+1	-1	+2	+5	0.2
2033	30	MLB CTX	DET	52%	208	187	40	7	2	3	17	52	2	6	1	214	286	321	607	107	279	25	8	271	78	-6	+1	-1	+2	+5	0.1
2034	31	MLB CTX	DET	56%	221	199	42	7	2	3	18	56	2	6	1	211	283	312	595	101	277	25	8	267	75	-7	+1	-2	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1319	1190	261	46	12	21	105	325	13	37	7	219	290	331	621	112	282	25	8	272	69	-34	+5	-4	+14	+29	1.0
/ 162G	—	A+C		—	650	586	129	23	6	10	52	160	6	18	3	220	290	331	621	111	284	25	8	272	69	-17	+2	-2	+7	+14	0.5
Career	—	MLE		—	3115	2816	596	105	26	46	239	755	33	108	33	212	281	316	597	105	271	24	8	270	69	-66	+8	-7	+28	+56	1.9
/ 162G	—	MLE		—	650	588	124	22	5	10	50	158	7	23	7	211	281	316	597	105	269	24	8	270	69	-17	+2	-2	+7	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ronny 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
#2Chris 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
#3Adam 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
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#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 5 projected seasons	2.1	1,389	23	37	223	290	337	+15	+15	2.0	2.0
/162	664	11	18	+7.1	+7.2	1.0	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
Raudy De Los Santos (OGILVIE)	23	—	—	—	—	212/278/301	89	282	1	2	25%	7%	66	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brian Ruggiano 2009 · A	23	40→43	38→45	54→55	38	190/244/275	85	291	5	10	35%	6%	47	-2.6	214/268/322	108	306	8	14	31%	6%	66	-1.1	216/270/330	114	301	9	15	30%	5%	67	-0.7
✕Tyler Palmer 2015 · A	23	41	38→40	52→50	42	198/250/278	81	254	5	12	24%	5%	49	-2.4	213/277/297	84	293	6	13	27%	7%	64	-1.3	215/288/287	72	300	5	17	28%	9%	62	-0.6
✕Nick Podkul 2021 · A	24	44	38→50	53→50	48	207/282/291	84	275	5	14	25%	8%	65	-1.2	202/286/330	128	273	14	8	29%	9%	76	-0.4	201/298/342	142	277	17	3	32%	10%	80	-0.1
✕Jared Foster 2016 · A	23	39→46	41→45	48→50	40	197/237/291	94	249	9	12	25%	5%	47	-2.6	214/250/314	100	278	9	8	26%	4%	57	-1.8	211/245/310	99	273	9	8	26%	4%	52	-0.9
✕Charcer Burks 2017 · A	22	40→46	39→40	52→50	43	196/262/287	92	272	6	17	29%	7%	57	-1.8	205/277/295	90	285	7	14	28%	8%	64	-1.3	201/275/282	81	279	6	14	28%	8%	59	-1.4
✕Luke Willis 2016 · A	23	46	34→40	54→50	43	216/263/270	55	273	2	12	21%	5%	52	-2.2	233/285/307	74	318	5	12	26%	6%	69	-0.9	257/310/329	72	354	6	15	27%	6%	80	-0.0
✕Alexis Bastardo 2017 · A	23	41	35→40	50→55	39	192/249/248	56	277	2	10	30%	6%	42	-2.9	201/248/274	73	281	5	13	29%	5%	47	-2.5	190/228/257	67	256	7	20	28%	4%	32	-1.4
✕Lane Adams 2012 · A	22	43→46	40→45	54→60	39	205/258/297	92	300	6	12	33%	6%	57	-1.8	220/269/328	108	296	10	19	28%	6%	68	-1.0	227/280/350	123	310	14	36	30%	6%	74	-0.4
✕Thomas Milone 2017 · A	22	40→45	36→45	48→55	40	191/248/252	62	276	3	14	31%	6%	42	-2.9	213/266/300	87	301	4	12	29%	6%	60	-1.6	237/293/354	117	331	7	17	29%	6%	79	-0.1
✕Nick Quintana 2021 · A	23	39→40	39→45	49→45	36	186/240/271	86	298	6	9	38%	6%	44	-2.8	182/266/288	106	256	11	5	31%	9%	59	-1.6	164/257/264	101	226	11	3	30%	10%	49	-1.3
✕Curtis Washington Jr. 2023 · A	23	42	37→40	51→60	41	196/255/271	75	298	4	15	34%	7%	50	-2.3	192/258/254	62	301	4	21	35%	7%	47	-2.5	179/239/282	103	263	10	30	34%	6%	44	-1.1
✕Jack López 2016 · A	23	42→46	38→45	47→55	39	204/244/276	72	261	6	15	24%	4%	46	-2.6	203/238/279	76	271	7	15	27%	4%	44	-2.8	217/254/307	90	298	9	18	29%	3%	55	-1.2
✕Grant Witherspoon 2021 · A	24	40→46	40→50	52→50	40	196/246/290	94	274	8	13	31%	6%	51	-2.3	218/273/365	147	298	17	13	31%	7%	78	-0.3	213/273/363	150	289	18	14	32%	7%	75	-0.3
✕Jason Van Kooten 2009 · A	24	42→49	38→50	49→50	37	202/242/283	81	274	5	17	28%	4%	47	-2.5	229/271/369	140	302	11	14	27%	4%	78	-0.3	236/280/397	161	309	13	13	27%	4%	86	+0.2
✕Juan Carlos Perez 2010 · A	23	40→50	42→45	51→55	36	203/235/309	106	268	9	12	28%	4%	51	-2.3	226/258/339	113	294	9	14	25%	4%	66	-1.1	235/280/351	116	297	9	19	23%	5%	75	-0.3
✕Trey Amburgey 2018 · A	23	40→44	42→50	51→50	37	200/246/305	105	276	10	12	31%	4%	54	-2.0	214/254/340	126	277	14	9	27%	4%	65	-1.2	216/256/349	133	280	14	7	28%	4%	66	-0.9
✕Bobby Wernes 2017 · A	23	40	35→45	46→40	45	191/247/249	59	252	2	6	24%	7%	41	-3.0	213/270/306	93	274	6	6	23%	6%	63	-1.4	218/284/324	106	265	7	3	19%	7%	70	-0.4
✕John Norwood 2016 · A	23	39→49	42→45	50	39	195/247/297	103	271	11	19	32%	6%	53	-2.1	222/279/330	108	318	10	11	31%	7%	72	-0.7	226/284/332	106	324	10	9	31%	7%	72	-0.6
✕Darin Mastroianni 2009 · A	23	42→52	38→40	60	41	201/253/277	76	278	5	22	29%	6%	50	-2.3	248/313/323	75	316	3	35	21%	8%	82	+0.0	257/324/332	75	320	2	38	19%	8%	85	+0.2
✕Dixon Machado 2014 · A	22	42→52	35→45	51→55	47	196/248/251	55	240	2	13	19%	6%	42	-2.9	235/289/313	78	284	4	11	18%	7%	72	-0.7	222/304/330	107	267	11	4	20%	9%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps