Sebastian Baquera

C Hickory Crawdads

Age 20 R/R 6'1" / 185 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1291ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Rangers R…	116	.314/.487/.488	3	4	77	—	.185/.348/.261
2025	18	ROKTEX	75	.159/.254/.175	0	0	-14	—	.125/.211/.141
2026	19	A/ROKTEX	192	.281/.388/.400	3	1	82	—	.241/.330/.343
2027PROJMLE	20	MLBTEX	302	.203/.275/.293	4	5	62	0.0
2028PROJ34% MLB	21	MLBTEX	56	.208/.281/.310	1	1	67	0.0
2029PROJ48% MLB	22	MLBTEX	129	.212/.286/.322	2	2	72	0.1

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

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

wRC+54

K%51

wOBA50

BB%46

Z-Con%32

Whiff%30

Career WAR0.0 WAR median (P10 -0.0 / P90 9.2, comp-based) · star 1% · didn't stick 82%

CompsSammy Hernandez (age 20) · Gilberto Vizcarra (age 20) · Rafael Morel (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 111 proj PA

wRC+†62

AVG/OBP/SLG.201 / .272 / .290

PA111

HR1

K%26

BB%7

ISO90

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · ContractCON 29 / POW 37

Toolsscout grade

CONTACT29

scouting grade only

POWER37

scouting grade only

EYE49

scouting grade only

SPEED48

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
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	+0.4	$1M	+$0.6M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Arb-1	$1M	+0.3	$0.7M	+$0.1M
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$1.0M	—	—	—
Totals		$4M		$4M	+$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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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 Rangers Red	—	116	86	27	6	0	3	21	18	8	4	1	314	487	488	975	174	364	16	18	438	77	—	—	—	—	—	—
2025	18	ROK	ACL Rangers	—	75	63	10	1	0	0	3	21	5	0	1	159	254	175	428	16	233	28	4	203	-14	—	—	—	—	—	—
2026	19	A	Hickory Crawdads	—	163	136	36	6	0	2	19	39	4	1	1	265	371	353	724	88	351	24	12	328	72	—	—	—	—	—	—
2026	19	ROK	ACL Rangers	—	29	24	9	2	1	1	3	3	2	0	1	375	483	667	1.149	292	400	10	10	495	135	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rangers Red	—	116	92	17	4	0	1	15	23	8	4	1	185	348	261	609	76	221	20	13	282	77	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	75	64	8	1	0	0	2	31	5	0	1	125	211	141	352	16	192	41	3	147	-14	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	163	141	33	5	0	2	14	53	4	1	1	234	321	312	633	78	333	33	9	275	72	—	—	—	—	—	—
2026	19	ROK MLE	ACL Rangers	—	29	25	7	1	1	1	2	4	2	0	1	280	379	520	899	240	312	14	7	367	135	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	116	92	17	4	0	1	15	23	8	4	1	185	348	261	609	76	232	20	13	282	77	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rangers Red	—	116	86	27	6	0	3	21	18	8	4	1	314	487	488	975	174	364	16	18	438	77	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	75	64	8	1	0	0	2	31	5	0	1	125	211	141	352	16	235	41	3	147	-14	—	—	—	—	—	—
2025	18	ROK RAW	ACL Rangers	—	75	63	10	1	0	0	3	21	5	0	1	159	254	175	428	16	233	28	4	203	-14	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	192	166	40	7	1	2	16	57	6	1	2	241	330	331	661	90	349	30	8	289	82	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	192	160	45	8	1	3	22	42	6	1	2	281	388	400	788	119	359	22	11	353	82	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	116	92	17	4	0	1	15	23	8	4	1	185	348	261	609	76	221	20	13	282	77	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	75	68	8	1	0	0	2	31	5	0	1	118	211	132	344	15	192	41	3	147	-14	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	192	168	40	7	1	2	16	57	6	1	2	238	330	327	657	89	330	30	8	289	82	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Rangers Red	—	116	92	17	4	0	1	15	23	8	4	1	185	348	261	609	76	221	20	13	282	77	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	75	68	8	1	0	0	2	31	5	0	1	118	211	132	344	15	192	41	3	147	-14	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	192	168	40	7	1	2	16	57	6	1	2	238	330	327	657	89	330	30	8	289	82	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TEX	0%	302	272	56	10	2	4	22	79	5	5	1	203	275	293	567	90	268	26	7	260	62	-14	+1	+0	+5	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TEX	34%	164	148	30	5	1	2	12	42	3	3	1	208	281	307	588	100	270	26	7	268	67	-6	+0	+0	+3	+4	0.0
2029	22	MLB MLE	TEX	48%	266	240	51	9	1	5	20	68	4	5	2	212	285	319	604	107	272	26	8	274	72	-9	+0	+0	+5	+6	0.2
2030	23	MLB MLE	TEX	54%	356	320	69	12	2	7	27	90	6	6	2	215	289	327	616	112	274	25	8	279	75	-11	+0	+0	+6	+8	0.4
2031	24	MLB MLE	TEX	55%	414	372	81	15	2	8	32	103	7	7	2	218	291	334	625	116	276	25	8	283	78	-11	+1	+0	+7	+9	0.6
2032	25	MLB MLE	TEX	56%	445	400	87	16	2	9	35	110	7	8	3	219	293	339	632	119	277	25	8	285	79	-11	+0	+0	+8	+10	0.7
2033	26	MLB MLE	TEX	56%	445	400	87	16	2	9	35	110	7	8	3	219	293	338	631	119	276	25	8	285	79	-11	+0	+0	+8	+10	0.7
2034	27	MLB MLE	TEX	60%	445	400	87	16	2	9	35	111	7	8	3	218	292	335	627	118	276	25	8	284	78	-12	+0	+0	+8	+10	0.7
2035	28	MLB MLE	TEX	62%	445	400	87	16	2	9	35	112	7	7	3	216	290	331	620	115	275	25	8	281	76	-13	+0	-1	+8	+10	0.5
2036	29	MLB MLE	TEX	63%	445	400	85	15	2	8	35	113	7	6	3	214	287	324	611	111	273	25	8	277	74	-14	+0	-1	+8	+10	0.2
2037	30	MLB MLE	TEX	63%	445	401	84	15	2	8	34	115	7	6	3	210	283	316	600	106	271	26	8	273	71	-16	+0	-2	+8	+10	-0.0
2028	21	MLB CTX	TEX	34%	56	51	10	2	0	1	4	14	1	1	0	208	281	310	591	102	270	25	7	269	67	-2	+0	+0	+1	+1	0.0
2029	22	MLB CTX	TEX	48%	129	116	24	4	1	2	10	33	2	2	1	212	286	322	608	110	272	26	8	276	72	-4	+0	+0	+2	+3	0.1
2030	23	MLB CTX	TEX	54%	193	173	37	6	1	4	15	49	3	3	1	216	289	331	621	116	274	25	8	281	75	-6	+0	+0	+3	+4	0.2
2031	24	MLB CTX	TEX	55%	229	205	45	8	1	5	18	57	4	4	1	218	292	338	630	120	275	25	8	285	78	-6	+0	+0	+4	+5	0.3
2032	25	MLB CTX	TEX	56%	249	224	48	8	1	5	19	62	4	4	1	220	294	343	637	123	276	25	8	287	79	-6	+0	+0	+4	+5	0.4
2033	26	MLB CTX	TEX	56%	250	224	48	8	1	5	20	62	4	4	1	220	294	343	636	123	276	25	8	287	79	-6	+0	+0	+4	+5	0.4
2034	27	MLB CTX	TEX	60%	265	238	52	9	1	6	21	66	4	5	2	219	293	340	632	121	275	25	8	286	78	-7	+0	+0	+5	+6	0.4
2035	28	MLB CTX	TEX	62%	274	247	53	9	1	6	21	69	4	4	2	217	291	335	625	118	274	25	8	283	76	-8	+0	-0	+5	+6	0.3
2036	29	MLB CTX	TEX	63%	279	251	54	9	1	6	22	71	4	4	2	214	288	328	616	114	273	25	8	279	74	-9	+0	-1	+5	+6	0.1
2037	30	MLB CTX	TEX	63%	282	254	53	9	1	5	22	73	4	4	2	211	284	320	604	109	271	26	8	274	71	-10	+0	-1	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2206	1983	424	72	9	45	172	556	34	35	13	214	288	327	615	113	272	25	8	282	74	-64	+2	-3	+39	+48	2.3
/ 162G	—	A+C		—	650	584	125	21	3	13	51	164	10	10	4	214	288	327	615	113	273	25	8	282	74	-19	+1	-1	+12	+14	0.7
Career	—	MLE		—	4364	3903	834	151	20	78	341	1114	83	71	30	214	291	323	613	109	277	26	8	278	74	-118	+3	-4	+71	+86	3.9
/ 162G	—	MLE		—	650	581	124	22	3	12	51	166	12	11	4	213	290	324	614	110	276	26	8	278	74	-19	+0	-1	+12	+14	0.6

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 AHickory Crawdads · 163 PAwOBA .324 → .275 (−49)K% 23.9% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.93%	÷1.000	×1.360	—	—	32.54%
BB% (unintentional) /PA	11.66%	÷1.000	×0.690	—	×1.045	8.40%
HBP% /PA	2.45%	—	×0.780	—	×1.045	2.00%
Singles /BIP	28.87%	÷1.000	×0.920	×1.009	×1.045	28.01%
Doubles /BIP	6.19%	÷1.000	×0.830	×1.009	×1.045	5.42%
Triples /BIP	0.00%	÷1.000	×0.910	×1.009	×1.045	0.00%
Home runs /BIP	2.06%	÷1.000	×0.800	—	×1.045	1.72%

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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .324 → .275; ISO .088 → .072; BABIP .351 → .333. 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 ROKACL Rangers · 29 PAwOBA .482 → .367 (−115)K% 10.3% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.34%	÷1.000	×1.440	—	—	14.90%
BB% (unintentional) /PA	10.34%	÷1.000	×0.620	—	×1.008	6.46%
HBP% /PA	6.90%	—	×0.720	—	×1.008	5.00%
Singles /BIP	23.81%	÷1.000	×0.820	—	×1.008	19.67%
Doubles /BIP	9.52%	÷1.000	×0.720	—	×1.008	6.91%
Triples /BIP	4.76%	÷1.000	×0.720	—	×1.008	3.45%
Home runs /BIP	4.76%	÷1.000	×0.780	—	×1.008	3.74%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .482 → .367; ISO .292 → .223; BABIP .400 → .312. 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 ROKACL Rangers · 75 PAwOBA .201 → .147 (−54)K% 28.0% → 41.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.00%	÷0.981	×1.440	—	—	41.11%
BB% (unintentional) /PA	4.00%	÷1.016	×0.620	—	×1.022	2.50%
HBP% /PA	6.67%	—	×0.720	—	×1.022	4.91%
Singles /BIP	21.43%	÷0.991	×0.820	×0.990	×1.022	17.95%
Doubles /BIP	2.38%	÷1.017	×0.720	×0.990	×1.022	1.71%
Triples /BIP	0.00%	÷1.138	×0.720	×0.990	×1.022	0.00%
Home runs /BIP	0.00%	÷1.302	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 160, 1B 98, 2B 103, 3B 128, K 96, BB 103 — 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 ×0.990.

Result: wOBA .201 → .147; ISO .016 → .010; BABIP .233 → .192. 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).

2024 DSLDSL Rangers Red · 116 PAwOBA .431 → .282 (−150)K% 15.5% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.52%	÷0.969	×1.220	—	—	19.55%
BB% (unintentional) /PA	18.10%	÷0.976	×0.700	—	×1.022	13.28%
HBP% /PA	6.90%	—	×0.700	—	×1.022	4.94%
Singles /BIP	26.47%	÷1.025	×0.680	×0.950	×1.022	17.05%
Doubles /BIP	8.82%	÷1.032	×0.600	×0.950	×1.022	4.98%
Triples /BIP	0.00%	÷1.150	×0.600	×0.950	×1.022	0.00%
Home runs /BIP	4.41%	÷1.333	×0.470	—	×1.022	1.59%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 167, 1B 105, 2B 106, 3B 130, K 94, BB 95 — 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 ×0.950.

Result: wOBA .431 → .282; ISO .174 → .082; BABIP .364 → .221. 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
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Sandy 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
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.5	2,319	43	38	216	286	329	+41	+28	3.9	3.7
/162	664	12	11	+11.9	+8.0	1.1	pk7: 3
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4

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 Baquera (OGILVIE)	20	24→29	32→37	43→48	49	201/272/290	89	268	1	2	26%	7%	62	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sammy Hernandez 2024 · A	20	37	43→40	51→50	40	188/254/301	113	262	11	5	31%	6%	57	-1.8	203/291/298	95	270	8	9	26%	9%	71	-0.8	201/300/298	97	262	9	13	24%	10%	72	-0.4
✕Gilberto Vizcarra 2019 · A	20	34	37→45	47→40	47	164/238/229	66	203	5	3	22%	7%	35	-3.4	205/261/282	77	259	5	4	22%	6%	55	-2.0	227/269/318	92	274	7	1	19%	4%	65	-0.4
✕Rafael Morel 2022 · A	20	36	39→40	51→50	40	181/244/269	88	257	7	13	31%	6%	46	-2.6	196/262/273	77	311	7	10	36%	7%	53	-2.1	190/263/263	73	291	8	10	35%	7%	49	-1.2
✕Christian Cerda 2023 · A	20	40	39→45	50→40	53	189/279/278	88	244	6	9	23%	10%	61	-1.5	198/297/302	104	263	10	4	26%	12%	74	-0.5	187/288/292	105	240	12	2	26%	12%	67	-0.7
✕Oswaldo Linares 2023 · A	20	39	38→40	48→40	56	186/292/260	74	232	6	6	21%	11%	63	-1.3	186/285/262	76	274	6	4	31%	11%	61	-1.5	167/269/232	65	254	5	2	33%	11%	47	-0.9
✕Ismael Alcantara 2019 · A	20	36→30	38→45	50	43	177/250/254	77	257	5	13	32%	7%	45	-2.7	207/272/309	102	322	8	15	36%	7%	65	-1.2	191/253/307	116	283	12	16	35%	6%	55	-0.9
✕Andres Regnault 2018 · A	19	36	36→45	46→45	43	175/246/237	62	253	4	6	31%	7%	39	-3.1	208/272/308	100	260	8	7	22%	6%	65	-1.2	204/273/325	121	234	12	6	18%	6%	69	-0.4
✕Jose Cordoba 2023 · A	20	37	41→40	44→55	40	185/250/278	93	262	9	9	32%	6%	50	-2.3	205/259/296	91	278	6	11	27%	6%	57	-1.8	203/257/294	91	267	4	15	24%	5%	53	-0.9
✕Pablo Aliendo 2021 · A	20	38	36→50	50→45	44	181/261/246	65	268	3	13	31%	8%	47	-2.5	202/271/300	98	303	9	5	34%	6%	63	-1.3	206/275/350	144	296	17	5	34%	7%	73	-0.3
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Jason Lopez 2018 · A	20	39	37→50	47→45	46	188/260/261	73	250	5	9	26%	8%	50	-2.3	207/250/323	116	289	11	6	31%	5%	60	-1.6	192/240/305	113	271	11	8	32%	6%	50	-1.0
✕Carlos Cauro 2024 · A	19	40	40	46→45	49	193/286/282	89	274	7	4	30%	10%	65	-1.2	204/280/311	107	300	11	5	33%	8%	70	-0.9	198/280/293	95	285	12	5	32%	8%	65	-0.4
✕Rudy van Heydoorn 2009 · A	20	36	39→40	42→50	52	178/287/262	84	243	7	10	28%	11%	62	-1.4	171/257/257	86	259	7	6	34%	9%	49	-2.4	134/224/213	79	200	8	2	35%	9%	27	-1.2
✕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
✕Jesus Galiz 2023 · A	19	37	42→45	49→40	41	187/250/292	105	255	9	5	30%	6%	53	-2.1	203/260/303	100	308	8	3	35%	6%	59	-1.6	195/253/292	98	300	8	2	36%	5%	53	-1.0
✕Payton Henry 2017 · A	20	44→32	36→45	45→30	39	207/265/280	74	298	3	5	30%	5%	56	-1.9	186/252/288	102	315	10	3	41%	6%	53	-2.1	244/299/348	104	334	12	0	29%	5%	81	-0.0
✕Cam Gallagher 2012 · A	19	36	38→45	48→30	42	181/228/254	72	232	7	5	25%	6%	35	-3.4	196/248/282	86	230	7	3	17%	6%	49	-2.4	215/276/319	104	267	9	0	22%	7%	69	-0.2
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Albert Laboy 2007 · A	20	40→38	38→40	48→45	41	193/236/269	76	242	5	10	22%	5%	42	-2.9	218/264/308	90	260	9	7	19%	5%	61	-1.5	215/263/301	86	251	10	6	18%	5%	57	-1.0
✕Geoandry Montilla 2016 · A	20	40	38→40	48→50	45	196/254/274	78	261	5	7	26%	7%	50	-2.3	187/259/275	88	267	6	8	30%	8%	53	-2.1	155/239/242	87	222	6	9	31%	8%	37	-1.0

Sebastian Baquera

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps