Sebastian Dos Santos

SS Palm Beach Cardinals

Age 19 S/R 6'0" / 140 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2036

Overview

APROSPECTMiLBFA 2037

OGV OFP40OGV rank#172ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKSTL	166	.312/.460/.570	4	13	79	—	.182/.313/.314
2026	18	A/ROKSTL	367	.252/.412/.483	16	28	92	—	.196/.324/.366
2027PROJMLE	19	MLBSTL	477	.228/.327/.382	14	10	102	0.6
2028PROJ43% MLB	20	MLBSTL	145	.232/.332/.388	4	3	107	0.4
2029PROJ61% MLB	21	MLBSTL	248	.235/.335/.397	7	5	110	0.8

Next 3 projected WAR 1.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$7M+2

Skills · percentileMiLB Statcast 2026 A

BB%79

Chase%78

Max EV74

Speed68

Z-Con%61

K%52

Career WAR0.0 WAR median (P10 -0.2 / P90 53, comp-based) · star 16% · didn't stick 62%

CompsAdael Amador (age 20) · Moisés Ballesteros (age 19) · Alfredo Duno (age 18)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†102

AVG/OBP/SLG.225 / .325 / .379

PA210

HR6

SB5

K%25

BB%11

ISO155

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$70M ctrl surplus

Contract

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
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	+1.4	$8M	+$8M
2032	Pre-Arb	$0.9M	+1.8	$10M	+$9M
2033	Pre-Arb	$0.9M	+2.0	$10M	+$10M
2034	Arb-1	$7M	+2.0	$9M	+$6M
2035	Arb-2	$11M	+1.9	$8M	+$4M
2036	Arb-3	$15M	+1.7	$7M	+$1M
Totals		$35M		$53M	+$38M

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 Cardinals	—	166	128	40	13	4	4	30	29	5	13	4	312	460	570	1.030	258	367	17	18	441	79	—	—	—	—	—	—
2026	18	A	Palm Beach Cardinals	—	255	199	49	8	0	10	44	60	9	18	4	246	405	437	842	191	295	24	17	378	91	—	—	—	—	—	—
2026	18	ROK	FCL Cardinals	—	112	87	23	6	2	6	22	27	3	10	3	264	429	586	1.015	322	315	24	20	439	93	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cardinals	—	166	137	25	8	2	2	21	37	5	13	4	182	313	314	627	131	226	22	13	285	79	—	—	—	—	—	—
2026	18	A MLE	Palm Beach Cardinals	—	255	211	43	7	0	8	32	82	9	18	4	204	333	351	684	147	268	32	13	303	91	—	—	—	—	—	—
2026	18	ROK MLE	FCL Cardinals	—	112	95	17	4	1	5	14	39	3	10	3	179	304	400	704	221	245	35	12	305	93	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	166	137	25	8	2	2	21	37	5	13	4	182	313	314	627	131	228	22	13	285	79	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cardinals	—	166	128	40	13	4	4	30	29	5	13	4	312	460	570	1.030	258	367	17	18	441	79	—	—	—	—	—	—
2026	18	A MLE	2 teams	—	367	306	60	11	1	13	46	120	12	28	7	196	324	366	690	170	267	33	13	304	92	—	—	—	—	—	—
2026	18	A RAW	2 teams	—	367	286	72	14	2	16	66	87	12	28	7	252	412	483	895	231	301	24	18	397	92	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	166	139	25	8	2	2	21	37	5	13	4	180	313	309	622	129	226	22	13	285	79	—	—	—	—	—	—
2026	18	A MLE	2 teams	—	367	306	60	11	1	13	46	120	12	28	7	196	324	366	690	170	261	33	13	304	92	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Cardinals	—	166	139	25	8	2	2	21	37	5	13	4	180	313	309	622	129	226	22	13	285	79	—	—	—	—	—	—
2026	18	A MLE	2 teams	—	367	306	60	11	1	13	46	120	12	28	7	196	324	366	690	170	261	33	13	304	92	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	STL	0%	477	413	94	17	3	14	53	118	8	10	3	228	327	382	710	155	282	25	11	319	102	+1	+1	-8	+5	+10	0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	STL	43%	336	290	67	12	2	10	37	82	6	7	2	232	332	394	727	162	284	24	11	326	107	+3	+1	-6	+4	+7	0.9
2029	21	MLB MLE	STL	61%	408	353	83	15	2	13	45	97	7	9	2	236	335	403	739	167	285	24	11	331	110	+5	+1	-7	+4	+9	1.2
2030	22	MLB MLE	STL	68%	455	394	93	17	2	15	50	107	8	10	3	238	337	409	746	171	286	24	11	334	112	+6	+1	-7	+5	+10	1.5
2031	23	MLB MLE	STL	71%	505	436	105	19	3	17	55	118	9	10	3	240	338	413	751	173	287	23	11	335	113	+8	+1	-6	+5	+11	2.0
2032	24	MLB MLE	STL	71%	562	486	118	22	3	19	61	130	10	11	3	242	338	416	754	174	289	23	11	336	114	+9	+1	-4	+6	+12	2.5
2033	25	MLB MLE	STL	71%	587	508	122	22	3	20	64	136	10	11	3	242	339	417	755	175	289	23	11	337	114	+10	+1	-2	+6	+13	2.8
2034	26	MLB MLE	STL	71%	597	517	125	23	3	20	65	138	10	11	3	242	338	416	755	174	288	23	11	337	114	+10	+1	-2	+6	+13	2.8
2035	27	MLB MLE	STL	69%	594	514	124	23	3	20	65	138	10	11	3	241	338	414	751	173	288	23	11	335	113	+9	+1	-2	+6	+13	2.8
2036	28	MLB MLE	STL	69%	585	506	121	22	3	19	64	137	10	10	3	239	336	409	745	170	287	23	11	333	111	+8	+1	-3	+6	+13	2.5
2037	29	MLB MLE	STL	67%	566	490	116	21	3	18	62	134	9	9	3	237	333	403	736	166	286	24	11	329	109	+6	+1	-4	+6	+12	2.2
2038	30	MLB MLE	STL	66%	552	478	112	20	3	17	60	133	9	8	3	234	330	395	725	161	284	24	11	325	106	+4	+0	-4	+6	+12	1.8
2039	31	MLB MLE	STL	65%	534	464	106	19	2	16	57	131	8	6	4	230	325	386	710	156	281	25	11	319	102	+1	-0	-5	+6	+12	1.4
2040	32	MLB MLE	STL	65%	511	444	100	18	2	15	54	127	8	5	7	224	319	373	692	148	278	25	11	312	97	-2	-2	-6	+5	+11	0.8
2041	33	MLB MLE	STL	65%	476	416	91	16	2	13	50	121	7	4	19	218	312	358	669	140	273	25	11	303	91	-5	-7	-6	+5	+10	-0.3
2028	20	MLB CTX	STL	43%	145	125	30	6	1	4	16	35	3	3	1	232	332	388	720	156	286	24	11	324	107	+1	+0	-2	+2	+3	0.4
2029	21	MLB CTX	STL	61%	248	214	50	10	1	7	27	59	5	5	1	235	335	397	731	162	287	24	11	328	110	+3	+1	-4	+3	+5	0.8
2030	22	MLB CTX	STL	68%	310	267	64	12	2	10	34	73	6	7	2	238	336	402	739	165	288	24	11	331	112	+4	+1	-5	+3	+7	1.1
2031	23	MLB CTX	STL	71%	359	311	74	14	2	11	39	84	6	7	2	240	337	406	743	167	289	23	11	333	113	+6	+1	-4	+4	+8	1.4
2032	24	MLB CTX	STL	71%	399	346	84	16	2	13	43	92	7	8	2	241	338	409	746	168	290	23	11	334	114	+7	+1	-3	+4	+9	1.8
2033	25	MLB CTX	STL	71%	416	361	87	17	2	13	45	96	7	8	2	241	338	410	748	168	290	23	11	334	114	+7	+1	-2	+4	+9	2.0
2034	26	MLB CTX	STL	71%	423	367	88	17	2	13	46	98	7	8	2	241	338	409	747	168	290	23	11	334	114	+7	+1	-2	+5	+9	2.0
2035	27	MLB CTX	STL	69%	413	358	85	16	2	13	45	96	7	8	2	240	337	407	744	167	289	23	11	333	113	+6	+1	-2	+4	+9	1.9
2036	28	MLB CTX	STL	69%	402	348	83	16	2	12	44	94	7	7	2	238	335	402	737	164	289	23	11	330	111	+5	+1	-2	+4	+9	1.7
2037	29	MLB CTX	STL	67%	379	329	78	15	2	11	41	90	6	6	2	236	332	396	729	160	287	24	11	327	109	+4	+0	-2	+4	+8	1.5
2038	30	MLB CTX	STL	66%	363	315	74	14	2	11	39	87	6	5	2	233	329	389	718	156	286	24	11	322	106	+3	+0	-3	+4	+8	1.2
2039	31	MLB CTX	STL	65%	348	303	70	13	2	10	37	85	5	4	3	229	324	380	704	150	283	24	11	317	102	+1	-0	-3	+4	+8	0.9
2040	32	MLB CTX	STL	65%	331	288	64	12	1	9	35	82	5	3	5	224	319	367	686	143	279	25	11	310	97	-1	-1	-4	+4	+7	0.5
2041	33	MLB CTX	STL	65%	307	268	59	11	1	8	32	78	4	3	12	218	311	352	664	135	274	25	10	301	91	-3	-4	-4	+3	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4843	4200	990	189	24	145	523	1149	81	82	40	236	332	396	728	160	288	24	11	326	107	+49	+0	-41	+52	+105	16.9
/ 162G	—	A+C		—	650	564	132	25	3	19	70	154	11	11	5	234	330	390	720	156	287	24	11	326	107	+7	+0	-6	+7	+14	2.3
Career	—	MLE		—	8011	6920	1609	296	40	253	879	1938	142	168	73	233	331	397	728	164	284	24	11	326	107	+73	+1	-67	+80	+162	25.3
/ 162G	—	MLE		—	650	561	131	24	3	21	71	157	12	14	6	234	332	399	732	166	284	24	11	326	107	+6	+0	-6	+7	+14	2.2

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 APalm Beach Cardinals · 255 PAwOBA .374 → .303 (−70)K% 23.5% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.000	×1.360	—	—	32.00%
BB% (unintentional) /PA	17.25%	÷1.000	×0.690	—	×1.050	12.50%
HBP% /PA	3.53%	—	×0.780	—	×1.050	2.89%
Singles /BIP	22.30%	÷1.000	×0.920	×0.971	×1.050	20.92%
Doubles /BIP	5.76%	÷1.000	×0.830	×0.971	×1.050	4.87%
Triples /BIP	0.00%	÷1.000	×0.910	×0.971	×1.050	0.00%
Home runs /BIP	7.19%	÷1.000	×0.800	—	×1.050	6.04%

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 ×0.971.

Result: wOBA .374 → .303; ISO .191 → .155; BABIP .295 → .268. 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 ROKFCL Cardinals · 112 PAwOBA .428 → .305 (−123)K% 24.1% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.11%	÷1.000	×1.440	—	—	34.71%
BB% (unintentional) /PA	19.64%	÷1.000	×0.620	—	×1.022	12.45%
HBP% /PA	2.68%	—	×0.720	—	×1.022	1.97%
Singles /BIP	15.00%	÷1.000	×0.820	×1.008	×1.022	12.68%
Doubles /BIP	10.00%	÷1.000	×0.720	×1.008	×1.022	7.42%
Triples /BIP	3.33%	÷1.000	×0.720	×1.008	×1.022	2.47%
Home runs /BIP	10.00%	÷1.000	×0.780	—	×1.022	7.98%

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 ×1.008.

Result: wOBA .428 → .305; ISO .322 → .238; BABIP .315 → .245. 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 Cardinals · 166 PAwOBA .439 → .285 (−153)K% 17.5% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.47%	÷0.961	×1.220	—	—	22.19%
BB% (unintentional) /PA	18.07%	÷1.022	×0.700	—	×1.022	12.66%
HBP% /PA	3.01%	—	×0.700	—	×1.022	2.16%
Singles /BIP	19.19%	÷1.019	×0.680	×0.976	×1.022	12.79%
Doubles /BIP	13.13%	÷0.990	×0.600	×0.976	×1.022	7.94%
Triples /BIP	4.04%	÷1.150	×0.600	×0.976	×1.022	2.10%
Home runs /BIP	4.04%	÷1.047	×0.470	—	×1.022	1.86%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 104, 2B 98, 3B 130, K 92, BB 104 — 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 ×0.976.

Result: wOBA .439 → .285; ISO .258 → .145; BABIP .367 → .226. 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
#1Jay Bell'86-'03 * career totals — 17 seasons, 8,525 PA	12.8	8,525	195	91	257*	334*	419*	+73	+9	39.1	36.0
/162	664	15	7	+5.7	+0.7	3.0	pk7: 33
#2Jason Kipnislast yr '20 career totals — 10 seasons, 4,984 PA	7.5	4,984	126	136	260	333	416	+18	-11	22.6	21.9
/162	664	17	18	+2.4	-1.4	3.0	pk7: 21
#3Denis Menke'62-'74 * career totals — 12 seasons, 5,934 PA	8.9	5,934	101	34	250*	346*	403*	+30	-23	22.7	21.7
/162	664	11	4	+3.4	-2.6	2.5	pk7: 21
#4Kelly Johnsonlast yr '16 career totals — 11 seasons, 5,139 PA	7.7	5,139	155	87	251	330	422	+8	-3	22.3	21.3
/162	664	20	11	+1.0	-0.4	2.9	pk7: 20
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.6	5,054	162	86	237	330	403	+54	-20	24.7	20.2
/162	664	21	11	+7.1	-2.6	3.2	pk7: 16
#5Jeff Blauser'87-'99 * career totals — 13 seasons, 5,271 PA	7.9	5,271	122	65	255*	346*	416*	+49	-36	21.1	19.5
/162	664	15	8	+6.2	-4.5	2.7	pk7: 18
#6Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18

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
Sebastian Dos Santos (OGILVIE)	19	—	—	—	—	225/325/379	153	282	6	5	25%	11%	102	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adael Amador 2023 · A	20	53→56	46→50	46→55	55	258/340/385	126	301	13	14	18%	10%	108	+1.9	241/316/374	133	282	15	21	19%	9%	97	+1.1	231/310/357	126	266	13	22	18%	9%	88	+0.4
●Moisés Ballesteros 2023 · A	19	41→51	46→50	45→40	50	210/283/334	125	261	14	5	25%	9%	76	-0.4	248/309/379	131	301	14	4	21%	8%	95	+0.9	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Alfredo Duno 2024 · A	18	43→48	41→55	53→45	53	207/305/309	102	280	9	8	27%	11%	78	-0.3	224/320/362	138	312	14	6	30%	12%	95	+1.0	229/330/392	163	306	18	4	29%	12%	104	+0.9
✕Edgar Quero 2023 · A	20	50→58	50	47→40	51	245/343/412	167	321	17	8	27%	10%	116	+2.5	248/329/371	123	310	12	3	22%	9%	101	+1.4	253/330/357	104	310	11	1	21%	9%	97	+0.8
●Evan Carter 2022 · A	19	47→55	43→50	52→55	56	220/331/337	117	299	9	18	27%	12%	95	+0.9	240/325/389	149	310	14	20	25%	10%	103	+1.6	241/329/398	157	310	15	21	25%	10%	104	+1.1
✕Luke Adams 2024 · A	20	42→39	44→50	53→55	51	201/318/323	122	288	11	21	31%	11%	88	+0.4	207/347/351	144	268	15	19	27%	12%	106	+1.8	200/355/358	159	246	17	19	24%	12%	108	+1.1
●Sal Stewart 2024 · A	20	49→53	43→55	48→50	55	236/321/346	110	286	11	10	21%	11%	92	+0.7	249/321/397	148	298	16	12	21%	9%	104	+1.6	255/323/425	170	297	21	13	21%	8%	109	+1.8
●Bryan Rincon 2024 · A	20	43→47	43→45	49→55	54	210/307/319	109	268	10	19	24%	11%	82	-0.0	196/286/316	120	277	12	25	31%	10%	73	-0.6	192/290/337	145	263	17	31	32%	11%	77	-0.2
●Jurickson Profar 2012 · A	19	51→55	46→55	53→50	51	245/315/399	154	285	10	14	18%	8%	101	+1.4	242/307/374	132	286	11	11	19%	8%	93	+0.8	259/353/423	164	286	18	7	16%	11%	123	+2.7
●Andy Pages 2021 · A	20	43→53	46→60	46→50	46	215/300/346	131	277	14	9	26%	8%	85	+0.2	217/306/408	191	287	24	6	32%	9%	102	+1.5	269/326/453	184	315	23	10	22%	6%	121	+2.8
✕Juan Brito 2023 · A	21	48→50	45→50	48→45	53	234/319/371	136	287	12	11	22%	10%	97	+1.1	231/311/367	136	281	13	9	21%	10%	93	+0.8	225/308/360	135	270	13	9	21%	10%	89	+0.4
✕Aron Estrada 2024 · A	19	47→54	41→50	52→55	54	220/310/327	107	272	6	9	20%	10%	84	+0.2	247/301/365	118	304	11	21	22%	6%	88	+0.5	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Harry Ford 2022 · A	19	45→53	47→45	52→55	43	223/289/361	138	311	13	9	31%	8%	84	+0.1	221/332/349	128	309	12	16	29%	12%	98	+1.2	226/338/346	120	294	12	19	24%	12%	96	+0.9
●Jackson Holliday 2023 · A	19	51→61	41→50	49→50	60	240/338/346	106	301	8	10	21%	13%	98	+1.2	254/339/391	137	339	12	14	26%	11%	109	+2.0	249/334/388	139	323	13	15	25%	11%	105	+1.7
●Daniel Robertson 2013 · A	19	46→56	46→45	52→40	49	227/301/367	141	268	12	6	20%	8%	90	+0.6	245/312/360	115	307	10	3	22%	7%	92	+0.7	256/329/366	110	321	8	2	21%	8%	96	+0.9
✕Hao-Yu Lee 2023 · A	20	49→51	44→50	48→55	46	237/306/359	122	312	12	12	27%	8%	89	+0.5	247/312/378	131	315	13	16	24%	7%	96	+1.0	253/317/409	156	313	15	15	23%	7%	103	+1.2
✕Samuel Basallo 2024 · AA	19	48→51	51→55	49→45	45	241/301/404	163	305	18	7	27%	8%	98	+1.2	236/295/399	163	297	20	6	27%	7%	95	+0.9	227/288/392	165	278	23	3	27%	7%	90	+0.4
✕Ramon Ramirez 2024 · A	19	44	46→50	45	52	219/294/345	126	249	13	9	18%	9%	82	+0.0	210/281/347	137	271	15	7	27%	8%	78	-0.3	207/279/354	147	270	17	7	29%	8%	77	-0.2
✕Alexander Albertus 2024 · A	19	49	41→45	47→45	61	232/339/328	96	275	9	11	18%	13%	95	+1.0	228/315/321	93	292	7	9	22%	10%	84	+0.2	225/311/319	93	294	7	6	24%	10%	80	-0.1
✕Termarr Johnson 2024 · A	20	44→53	49→45	50→55	55	213/330/357	143	314	17	9	34%	14%	99	+1.2	217/304/333	116	293	13	16	28%	10%	83	+0.1	212/296/315	103	281	11	21	27%	10%	74	-0.5

Sebastian Dos Santos

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps