Daiber De Los Santos

Daiber De Los SantosSS FCL Twins

Age 19 R/R 6'1" / 160 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION160 act + 16 ros · stats below = ROS only

showingROS

wRC+†39

AVG/OBP/SLG.067 / .125 / .067

PA16

HR0

K%44

BB%6

BABIP272

ISO88

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 20 / POW 35

Toolsscout grade

CONTACT20

scouting grade only

POWER35

scouting grade only

EYE40

scouting grade only

SPEED60

scouting grade only

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	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
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
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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)
2024	17	ROK	DSL Twins	—	203	176	53	11	1	5	18	63	7	17	7	301	388	460	848	159	436	31	9	376	141	+10	+1	—	—	+4	1.5
2025	18	ROK	FCL Twins	—	186	156	26	10	2	4	21	89	8	15	7	167	297	333	631	167	344	48	11	290	83	-4	+0	—	—	+4	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Twins	—	203	183	34	6	1	4	11	91	7	17	7	186	259	295	554	109	317	45	5	236	46	-13	+1	—	—	+4	-0.8
2025	18	ROK MLE	FCL Twins	—	186	164	12	4	1	2	13	128	8	15	7	73	178	146	325	73	253	69	7	148	-14	-25	+0	—	—	+4	-2.1
2024	17	ROK MLE	DSL Twins	—	203	183	34	6	1	4	11	91	7	17	7	186	259	295	554	109	333	45	5	236	46	—	—	—	—	—	—
2024	17	ROK RAW	DSL Twins	—	203	176	53	11	1	5	18	63	7	17	7	301	388	460	848	159	436	31	9	376	46	—	—	—	—	—	—
2025	18	ROK MLE	FCL Twins	—	186	164	12	4	1	2	13	128	8	15	7	73	178	146	325	73	286	69	7	148	-14	—	—	—	—	—	—
2025	18	ROK RAW	FCL Twins	—	186	156	26	10	2	4	21	89	8	15	7	167	297	333	631	167	344	48	11	290	-14	—	—	—	—	—	—
2024	17	ROK MLE	DSL Twins	—	203	183	34	6	1	4	11	91	7	17	7	186	259	295	554	109	317	45	5	236	46	—	—	—	—	—	—
2025	18	ROK MLE	FCL Twins	—	186	163	12	4	1	2	13	128	8	15	7	74	178	147	326	74	253	69	7	148	-14	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Twins	—	203	183	34	6	1	4	11	91	7	17	7	186	259	295	554	109	317	45	5	236	46	—	—	—	—	—	—
2025	18	ROK MLE	FCL Twins	—	186	163	12	4	1	2	13	128	8	15	7	74	178	147	326	74	253	69	7	148	-14	—	—	—	—	—	—
YTD	19	ROK MLE	MIN	—	160	134	13	2	2	2	19	102	5	8	2	97	234	187	421	90	344	64	12	194	17	-16	+1	+0	+2	+3	-1.0
▸ 2026 season
YTD	19	ROK RAW	MIN	—	160	123	24	4	4	3	30	71	5	8	2	195	373	366	739	171	412	44	19	339	17	—	—	—	—	—	—
ROS	19	ROK MLE	MIN	0%	16	15	1	0	0	0	1	7	0	0	0	67	125	67	192		272	44	6	227	39	-1	+0	+0	+0	+0	-0.1
TOT	19	ROK MLE	MIN	—	176	149	14	2	2	2	20	109	5	8	2	94	224	174	399	81	300	62	11	197	19	-17	+1	+0	+2	+4	-1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	MIN	34%	239	213	36	7	2	4	20	96	4	6	2	169	253	277	530	108	277	40	8	241	49	-14	+0	+0	+3	+5	-0.6
2027	20	MLB CTX	MIN	34%	82	74	12	2	1	1	7	33	1	2	1	162	244	257	501	95	277	40	9	228	49	-5	+0	+0	+1	+2	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	82	74	12	2	1	1	7	33	1	2	1	162	244	257	501	95	275	40	9	228	30	-5	+0	+0	+1	+2	-0.2
/ 162G	—	A+C		—	650	587	95	16	8	8	55	262	8	16	8	162	243	257	500	95	274	40	8	228	30	-39	+0	+0	+7	+14	-1.9
Career	—	MLE		—	644	575	83	17	4	10	45	322	19	38	16	144	230	240	470	96	296	50	7	212	30	-16	+0	+0	+3	+6	-0.7
/ 162G	—	MLE		—	650	580	83	17	4	10	45	325	19	38	16	143	228	238	466	95	293	50	7	212	30	-40	+1	+0	+7	+14	-1.8

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 1 projected seasons	0.4	238	3	5	174	246	267	+3	+3	-0.6	-0.3
/162	664	9	15	+7.1	+8.4	-1.6	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
Daiber De Los Santos (OGILVIE)	19	20	35	60	40	153/240/241	88	272	2	5	43%	8%	39	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Neyfy Castillo 2019 · A	18	37→31	36→45	54→55	39	177/242/241	64	278	4	16	36%	6%	38	-3.2	182/246/274	92	300	8	13	39%	7%	47	-2.5	164/235/286	121	289	15	16	46%	7%	44	-1.5
✕Ranfy Adon 2017 · A	19	36	39→45	49→50	41	180/246/264	84	259	7	12	32%	7%	46	-2.6	198/245/300	102	329	8	12	40%	5%	53	-2.1	176/236/282	105	327	9	25	46%	5%	44	-0.6
✕Ariel Montesino 2015 · A	19	38	36→40	53→50	41	181/239/249	69	257	3	16	30%	6%	38	-3.2	196/247/255	59	258	3	9	24%	6%	42	-2.9	189/241/241	52	247	3	7	23%	6%	35	-1.2
✕Rafael Morel 2022 · A	20	38	40	51→50	39	187/249/281	94	269	8	13	32%	6%	51	-2.3	196/261/274	78	315	7	10	37%	7%	53	-2.1	188/258/263	75	295	9	10	37%	7%	47	-1.2
✕Alexander Benua 2022 · A	18	36	35→40	54→55	39	170/242/230	60	260	2	13	33%	6%	36	-3.3	191/259/266	75	288	5	16	33%	6%	51	-2.3	185/255/265	80	288	6	17	35%	7%	48	-0.9
✕Franklin Correa 2015 · A	19	37	38→40	48→50	42	179/250/257	78	271	5	10	34%	8%	46	-2.6	184/236/265	81	290	6	7	36%	5%	41	-3.0	155/195/226	71	251	6	4	39%	3%	15	-1.2
✕Wilfredo Lara 2023 · A	19	37→40	38→45	49→50	40	178/244/259	80	265	5	10	33%	6%	43	-2.8	190/263/291	101	272	9	13	31%	8%	58	-1.7	175/255/268	93	250	8	18	31%	9%	48	-1.4
✕Ronny Brito 2018 · A	19	37	38→45	50	37	178/235/261	83	285	5	10	37%	6%	40	-3.1	201/250/308	107	347	11	5	42%	6%	56	-1.9	159/212/281	121	293	17	1	49%	6%	35	-1.2
✕Luis Yanel Diaz 2019 · A	19	35→41	39→45	51→55	34	172/220/252	79	282	7	12	40%	5%	32	-3.7	179/216/286	107	327	10	11	46%	4%	38	-3.2	186/240/307	121	311	14	21	43%	5%	51	-1.3
✕Yowelfy Rosario 2019 · A	19	39	39→45	53→45	40	186/251/280	95	295	4	7	36%	7%	51	-2.3	185/245/267	82	320	4	7	40%	6%	45	-2.7	131/183/181	50	249	3	5	46%	5%	0	-1.6
✕Christian Olivo 2023 · A	19	39	35→40	52→55	40	185/256/243	58	276	2	14	32%	6%	45	-2.7	185/253/249	64	274	4	16	32%	7%	45	-2.7	174/244/231	57	255	4	21	31%	7%	35	-1.6
✕Brent Brewer 2007 · A	19	40	39→40	58→55	36	193/242/277	84	304	6	11	37%	6%	46	-2.6	194/243/280	86	308	5	19	36%	6%	47	-2.5	188/239/268	80	297	4	22	36%	6%	40	-2.5
✕Max George 2016 · A	20	39→38	39→45	54→55	42	186/270/274	88	290	7	14	35%	8%	57	-1.8	186/268/290	104	258	9	15	30%	8%	60	-1.6	164/253/286	122	221	13	23	31%	8%	52	-1.3
✕Wilson Amador 2016 · A	19	35	34→30	53→55	37	169/235/226	57	255	2	17	32%	5%	32	-3.6	190/238/259	69	289	3	16	33%	4%	40	-3.1	189/226/255	66	290	3	22	34%	3%	32	-1.0
✕Simon Juan 2023 · A	18	38	38→45	56→50	38	183/244/260	78	273	5	14	33%	6%	43	-2.8	186/240/278	92	291	8	9	37%	6%	46	-2.6	178/231/275	98	279	10	10	38%	6%	40	-1.2
✕Miguel Bleis 2023 · A	19	39→31	43→45	55	36	196/243/309	114	285	10	17	34%	5%	54	-2.0	184/236/283	99	270	10	23	34%	5%	45	-2.7	166/221/262	96	232	11	28	33%	6%	33	-2.0
✕Ramon Peralta 2023 · A	19	38	39→40	52→50	45	183/268/268	84	281	7	12	34%	9%	55	-1.9	189/271/280	91	318	7	8	39%	9%	59	-1.6	170/257/265	94	295	7	6	41%	9%	48	-0.8
✕Ismael Alcantara 2019 · A	20	39→29	38→45	51→50	41	185/255/266	81	281	5	13	34%	7%	49	-2.4	210/275/314	104	329	8	15	36%	7%	68	-1.0	190/253/306	116	287	12	16	36%	6%	55	-0.9
✕Jose Ramos 2022 · A	19	41	42→40	51→55	40	201/255/312	111	283	9	11	31%	6%	59	-1.7	191/267/280	89	271	6	21	29%	8%	57	-1.8	193/287/265	72	281	6	28	30%	11%	59	-0.6
✕Didimo Bracho 2017 · A	20	35	37→30	48→60	34	172/222/242	69	271	5	13	37%	5%	30	-3.8	195/244/300	105	293	8	6	34%	5%	52	-2.2	181/230/321	140	251	11	3	32%	5%	48	-0.7

Career Stats + Projections

Career Comps

Career Path Comps