Angel De Los Santos

SS FCL Tigers

Age 19 R/R 6'1" / 161 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP35OGV rank#994ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Tigers 1	99	.370/.474/.543	1	7	76	—	.238/.340/.333
2026	18	A/ROKDET	309	.278/.356/.436	9	30	62	—	.209/.271/.323
2027PROJMLE	19	MLBDET	419	.215/.275/.328	8	10	70	0.0
2028PROJ34% MLB	20	MLBDET	89	.216/.278/.334	2	2	76	-0.0
2029PROJ48% MLB	21	MLBDET	182	.220/.283/.344	4	4	80	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$3M2034Arb-2$5M+1

Skills · percentileMiLB Statcast 2026 A

Speed82

Whiff%51

Chase%48

Max EV42

K%41

BB%41

Career WAR0.0 WAR median (P10 -0.5 / P90 7.8, comp-based) · star 2% · didn't stick 85%

CompsJett Williams (age 19) · Jefferson Rojas (age 19) · Echedry Vargas (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 194 proj PA

wRC+†70

AVG/OBP/SLG.213 / .273 / .326

PA194

HR4

K%28

BB%6

ISO113

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$8M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Arb-1	$3M	+0.7	$2M	+$0.1M
2034	Arb-2	$5M	+0.7	$2M	+$0.0M (cut)
2035	Arb-3	$8M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$9M	+$2M

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. 2027 = full-season projection (no games played yet). 2028+ 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)
2025	17	ROK	DSL Tigers 1	—	99	81	30	9	1	1	11	17	5	7	2	370	474	543	1.017	173	446	17	11	442	76	—	—	—	—	—	—
2026	18	A	Lakeland Flying Tigers	—	105	94	22	3	0	3	11	28	0	10	3	234	314	362	676	128	302	27	10	307	50	—	—	—	—	—	—
2026	18	ROK	FCL Tigers	—	204	179	54	7	3	6	16	36	6	20	4	302	378	475	853	173	343	18	8	374	68	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Tigers 1	—	99	84	20	6	1	0	8	21	5	7	2	238	340	333	674	95	275	21	8	280	76	—	—	—	—	—	—
2026	18	A MLE	Lakeland Flying Tigers	—	105	97	18	2	0	2	8	38	0	10	3	186	248	268	516	82	291	36	8	242	50	—	—	—	—	—	—
2026	18	ROK MLE	FCL Tigers	—	204	185	41	5	2	5	10	52	6	20	4	222	284	351	635	130	264	25	5	269	68	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 1	—	99	84	20	6	1	0	8	21	5	7	2	238	340	333	674	95	308	21	8	280	76	—	—	—	—	—	—
2025	17	ROK RAW	DSL Tigers 1	—	99	81	30	9	1	1	11	17	5	7	2	370	474	543	1.017	173	446	17	11	442	76	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	309	282	59	7	2	7	18	90	6	30	7	209	271	323	594	113	277	29	6	260	62	—	—	—	—	—	—
2026	18	ROK RAW	2 teams	—	309	273	76	10	3	9	27	64	6	30	7	278	356	436	792	158	330	21	9	351	62	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 1	—	99	86	20	6	1	0	8	21	5	7	2	233	340	326	666	93	275	21	8	280	76	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	309	282	59	7	2	7	18	90	6	30	7	209	271	323	594	113	273	29	6	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Tigers 1	—	99	86	20	6	1	0	8	21	5	7	2	233	340	326	666	93	275	21	8	280	76	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	309	282	59	7	2	7	18	90	6	30	7	209	271	323	594	113	273	29	6	260	62	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	DET	0%	419	384	83	14	3	8	27	116	5	10	2	215	275	328	603	113	284	28	6	271	70	-15	+1	-2	+4	+9	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	DET	34%	259	237	53	9	2	6	17	70	3	6	2	220	282	342	624	122	286	27	7	280	76	-8	+0	-1	+3	+6	-0.0
2029	21	MLB MLE	DET	48%	375	342	76	13	2	9	25	100	5	9	2	224	287	352	639	129	287	27	7	286	80	-9	+1	-2	+4	+8	0.2
2030	22	MLB MLE	DET	54%	453	413	93	16	3	11	31	119	6	10	3	227	291	360	651	134	288	26	7	291	83	-9	+1	-2	+5	+10	0.5
2031	23	MLB MLE	DET	57%	504	457	105	18	3	13	35	131	7	11	3	229	294	366	660	137	289	26	7	295	86	-9	+1	-1	+5	+11	0.8
2032	24	MLB MLE	DET	57%	538	488	113	20	3	14	38	138	7	12	3	231	296	371	667	140	290	26	7	298	88	-8	+1	-1	+6	+12	1.0
2033	25	MLB MLE	DET	57%	558	506	118	20	4	15	40	143	7	12	3	231	297	371	668	140	290	26	7	298	88	-8	+1	+0	+6	+12	1.2
2034	26	MLB MLE	DET	56%	568	515	120	21	4	15	41	146	7	12	3	231	297	371	668	140	290	26	7	298	88	-8	+1	+0	+6	+12	1.2
2035	27	MLB MLE	DET	55%	566	513	118	20	3	15	41	146	7	12	3	230	296	368	664	139	289	26	7	297	87	-9	+1	+0	+6	+12	1.1
2036	28	MLB MLE	DET	55%	561	509	116	20	3	14	40	146	7	11	3	228	294	364	658	136	289	26	7	294	85	-10	+1	-0	+6	+12	0.9
2037	29	MLB MLE	DET	53%	548	497	112	19	3	13	39	144	7	10	3	226	291	358	649	132	287	26	7	291	83	-11	+1	-1	+6	+12	0.6
2038	30	MLB MLE	DET	53%	534	485	108	19	3	12	38	142	6	9	3	223	288	351	639	128	286	27	7	286	80	-13	+1	-2	+6	+12	0.3
2039	31	MLB MLE	DET	52%	517	470	103	18	3	11	36	140	6	7	4	219	283	342	625	122	283	27	7	281	76	-15	-0	-2	+6	+11	-0.1
2028	20	MLB CTX	DET	34%	89	82	18	3	1	2	6	24	1	2	1	216	278	334	612	118	281	27	7	275	76	-3	+0	-0	+1	+2	-0.0
2029	21	MLB CTX	DET	48%	182	166	36	6	1	4	12	49	2	4	1	220	283	344	627	124	283	27	7	282	80	-4	+0	-1	+2	+4	0.1
2030	22	MLB CTX	DET	54%	246	224	50	8	2	6	17	65	3	6	1	223	287	352	639	129	284	26	7	286	83	-5	+1	-1	+3	+5	0.3
2031	23	MLB CTX	DET	57%	285	259	59	10	2	7	20	74	4	6	2	225	290	358	648	133	284	26	7	290	86	-5	+0	-1	+3	+6	0.4
2032	24	MLB CTX	DET	57%	304	275	63	11	2	8	22	78	4	7	2	227	293	362	654	135	285	26	7	293	88	-4	+1	-0	+3	+7	0.6
2033	25	MLB CTX	DET	57%	315	285	65	11	2	8	23	81	4	7	2	227	293	362	655	135	285	26	7	293	88	-4	+1	+0	+3	+7	0.7
2034	26	MLB CTX	DET	56%	321	291	66	11	2	8	23	82	4	7	2	227	293	362	655	135	285	26	7	293	88	-5	+1	+0	+3	+7	0.7
2035	27	MLB CTX	DET	55%	314	284	65	11	2	8	23	81	4	7	2	226	292	360	652	134	285	26	7	292	87	-5	+1	+0	+3	+7	0.6
2036	28	MLB CTX	DET	55%	308	279	63	11	2	7	22	80	4	6	2	224	290	355	645	131	284	26	7	289	85	-5	+0	-0	+3	+7	0.5
2037	29	MLB CTX	DET	53%	293	266	59	10	2	7	21	77	4	5	2	222	287	350	637	128	283	26	7	286	83	-6	+0	-1	+3	+6	0.3
2038	30	MLB CTX	DET	53%	281	256	57	10	2	6	20	75	3	5	2	219	284	343	627	123	281	27	7	282	80	-7	+0	-1	+3	+6	0.2
2039	31	MLB CTX	DET	52%	270	246	53	9	1	6	19	73	3	4	2	215	279	334	613	118	279	27	7	276	76	-8	+0	-1	+3	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3208	2913	654	111	21	77	228	839	40	66	21	225	290	356	646	132	287	26	7	287	82	-61	+5	-6	+34	+70	4.3
/ 162G	—	A+C		—	650	590	132	22	4	16	46	170	8	13	4	224	288	356	644	132	285	26	7	287	82	-12	+1	-1	+7	+14	0.9
Career	—	MLE		—	6583	5976	1353	233	40	159	459	1730	88	162	45	226	291	359	650	132	289	26	7	290	82	-122	+11	-12	+66	+134	7.7
/ 162G	—	MLE		—	650	590	134	23	4	16	45	171	9	16	4	227	292	361	653	134	290	26	7	290	82	-13	+1	-1	+7	+14	0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKFCL Tigers · 204 PAwOBA .369 → .269 (−100)K% 17.6% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.000	×1.440	—	—	25.41%
BB% (unintentional) /PA	7.84%	÷1.000	×0.620	—	×1.022	4.97%
HBP% /PA	2.94%	—	×0.720	—	×1.022	2.17%
Singles /BIP	26.57%	÷1.000	×0.820	×0.950	×1.022	21.17%
Doubles /BIP	4.90%	÷1.000	×0.720	×0.950	×1.022	3.42%
Triples /BIP	2.10%	÷1.000	×0.720	×0.950	×1.022	1.47%
Home runs /BIP	4.20%	÷1.000	×0.780	—	×1.022	3.35%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .369 → .269; ISO .173 → .126; BABIP .343 → .264. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 ALakeland Flying Tigers · 105 PAwOBA .299 → .242 (−57)K% 26.7% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.000	×1.360	—	—	36.27%
BB% (unintentional) /PA	10.48%	÷1.000	×0.690	—	×1.050	7.59%
HBP% /PA	0.00%	—	×0.780	—	×1.050	0.00%
Singles /BIP	24.24%	÷1.000	×0.920	×1.023	×1.050	23.95%
Doubles /BIP	4.55%	÷1.000	×0.830	×1.023	×1.050	4.05%
Triples /BIP	0.00%	÷1.000	×0.910	×1.023	×1.050	0.00%
Home runs /BIP	4.55%	÷1.000	×0.800	—	×1.050	3.82%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .299 → .242; ISO .128 → .097; BABIP .302 → .291. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Tigers 1 · 99 PAwOBA .440 → .280 (−160)K% 17.2% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.17%	÷0.987	×1.220	—	—	21.23%
BB% (unintentional) /PA	11.11%	÷1.026	×0.700	—	×1.022	7.75%
HBP% /PA	5.05%	—	×0.700	—	×1.022	3.61%
Singles /BIP	29.69%	÷1.045	×0.680	×0.966	×1.022	19.08%
Doubles /BIP	14.06%	÷0.999	×0.600	×0.966	×1.022	8.34%
Triples /BIP	1.56%	÷1.102	×0.600	×0.966	×1.022	0.84%
Home runs /BIP	1.56%	÷3.212	×0.470	—	×1.022	0.23%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 542, 1B 109, 2B 100, 3B 120, K 97, BB 105 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .440 → .280; ISO .173 → .088; BABIP .446 → .275. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#3Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	4.2	2,794	46	50	259	303	375	+27	-6	6.7	7.1
/162	664	11	12	+6.5	-1.4	1.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,401	83	69	228	289	361	+36	+0	6.9	6.1
/162	664	16	13	+7.1	+0.0	1.3	pk7: 5
#6Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3

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
Angel De Los Santos (OGILVIE)	19	—	—	—	—	213/273/326	112	284	4	4	28%	6%	70	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Jefferson Rojas 2024 · A	19	45→48	41→50	52→50	43	221/283/322	101	279	9	15	24%	6%	72	-0.7	222/283/337	115	269	12	16	21%	7%	76	-0.4	225/287/358	133	263	15	18	21%	7%	81	-0.1
✕Echedry Vargas 2024 · A	19	40→47	44→50	53→55	40	202/260/326	123	269	11	15	29%	6%	65	-1.2	215/258/351	136	288	15	14	30%	4%	70	-0.9	218/259/369	151	284	19	13	30%	4%	72	-0.5
✕Delino DeShields 2012 · A	19	41→51	40→45	50→65	42	201/260/289	88	279	8	16	30%	6%	56	-1.9	234/302/339	105	318	8	38	27%	8%	83	+0.1	239/313/347	108	322	9	47	26%	8%	87	+0.3
●Bryan Rincon 2023 · A	19	42→47	45	53→55	45	210/280/332	122	276	12	11	28%	8%	74	-0.6	194/285/295	101	272	9	22	29%	10%	68	-1.0	192/290/337	145	263	17	31	32%	11%	77	-0.2
✕Jonathan Ornelas 2019 · A	19	46→56	40→45	53→50	44	219/282/318	99	308	7	14	30%	8%	70	-0.8	209/265/301	92	294	7	10	29%	6%	60	-1.6	251/312/338	87	342	8	12	27%	7%	83	+0.1
✕Gilberto Celestino 2018 · A	19	43→53	39→45	53→55	43	206/263/292	86	288	6	12	30%	7%	57	-1.8	220/271/312	92	287	7	10	24%	6%	65	-1.2	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Eguy Rosario 2019 · A	19	42→52	40→55	48→55	39	205/259/302	97	291	7	13	31%	6%	59	-1.7	227/277/345	118	314	10	16	29%	6%	74	-0.5	240/303/388	148	312	14	21	26%	7%	92	+0.5
✕Leo Balcazar 2023 · A	19	43→50	43→40	54→45	41	210/277/319	109	305	10	15	33%	7%	70	-0.9	226/278/314	88	318	7	10	29%	6%	68	-1.0	225/278/312	88	283	9	5	23%	6%	65	-1.1
✕José Rodríguez 2021 · A	20	41→51	43→50	52→55	37	208/240/316	109	266	11	11	27%	4%	54	-2.0	248/280/380	132	299	14	24	21%	4%	84	+0.1	248/280/383	135	297	15	29	22%	4%	81	-0.0
✕Miguel Palma 2021 · A	19	40	39→45	48→40	45	193/281/280	88	261	6	11	27%	7%	63	-1.3	215/293/337	122	281	13	5	27%	8%	80	-0.1	217/284/341	124	274	15	2	26%	7%	76	-0.2
✕Jonathan Galvez 2010 · A	19	43→51	42→50	50→55	51	209/299/315	106	278	8	12	26%	10%	77	-0.3	225/289/347	122	328	11	16	32%	7%	80	-0.1	244/294/364	120	343	10	23	30%	5%	83	+0.1
✕Jorge Alcantara 2011 · A	19	45	41→45	51→50	43	215/278/316	101	296	7	11	29%	7%	68	-1.0	197/266/293	96	297	7	13	33%	8%	59	-1.6	143/221/238	95	216	5	25	34%	8%	30	-1.0
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/270/292	91	260	7	13	25%	8%	60	-1.6	205/256/277	72	300	3	25	30%	6%	51	-2.3	240/291/409	169	325	21	27	32%	5%	95	+0.4
✕Ezequiel Duran 2018 · A	19	45→55	43→55	54→50	39	221/262/338	118	304	9	10	30%	5%	68	-1.0	185/227/272	87	291	7	8	37%	4%	39	-3.1	254/295/406	151	322	16	12	25%	5%	95	+0.7
✕Wendell Rijo 2015 · A	19	44→45	41→50	51→50	45	211/277/319	108	290	7	12	28%	8%	70	-0.9	206/259/297	91	291	6	11	30%	6%	57	-1.8	210/267/353	143	267	17	14	28%	6%	71	-0.5
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Carlos Caro 2024 · A	19	44	41→45	48→55	46	210/298/307	97	285	8	13	27%	8%	76	-0.4	196/272/275	79	283	6	15	30%	8%	58	-1.7	182/259/257	76	270	7	19	33%	8%	46	-1.0
✕Johanfran Garcia 2024 · A	19	41	40→50	49→45	42	199/270/291	93	282	8	6	31%	7%	61	-1.5	219/276/349	130	326	16	5	36%	6%	76	-0.4	218/265/369	151	318	23	4	38%	5%	74	-0.3
✕Ceddanne Rafaela 2021 · A	20	40→50	42→55	52→55	42	198/252/297	99	246	10	13	24%	5%	55	-2.0	232/272/383	151	296	15	19	26%	4%	82	+0.0	250/287/402	152	300	17	19	22%	4%	93	+0.8

Angel De Los Santos

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps