Anthony Marquez

SS ACL Giants

Age 20 R/R 5'10" / 164 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1451ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Giants Bl…	149	.279/.405/.369	1	10	47	—	.173/.291/.205
2025	18	ROKDSL Giants Or…	221	.276/.425/.362	1	13	57	—	.183/.306/.242
2026	19	ROKSF	199	.243/.354/.355	2	11	39	—	.173/.253/.240
2027PROJMLE	20	MLBSF	309	.205/.281/.284	2	6	62	0.0
2028PROJ34% MLB	21	MLBSF	52	.207/.285/.297	1	1	69	-0.0
2029PROJ48% MLB	22	MLBSF	121	.212/.289/.310	2	3	74	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Speed74

Whiff%68

Chase%66

Z-Con%54

K%49

ISO48

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsGuillermo Pimentel (age 20) · Ricardo Rosario (age 20) · Albertson Asigen (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 105 proj PA

wRC+†62

AVG/OBP/SLG.203 / .279 / .281

PA105

HR1

K%26

BB%8

ISO79

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$0.7M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.5M

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)
2024	17	ROK	DSL Giants Black	—	149	122	34	4	2	1	19	25	7	10	1	279	405	369	774	90	344	17	13	358	47	—	—	—	—	—	—
2025	18	ROK	DSL Giants Orange	—	221	174	48	12	0	1	41	31	4	13	4	276	425	362	787	86	329	14	19	365	57	—	—	—	—	—	—
2026	19	ROK	ACL Giants	—	199	169	41	7	3	2	26	43	3	11	3	243	354	355	709	112	312	22	13	325	39	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Black	—	149	127	22	2	1	0	14	31	7	10	1	173	291	205	495	31	228	21	9	237	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Orange	—	221	186	34	8	0	1	29	39	4	13	4	183	306	242	548	59	222	18	13	253	57	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	199	179	31	5	2	1	16	62	3	11	3	173	253	240	493	67	250	31	8	226	39	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	149	127	22	2	1	0	14	31	7	10	1	173	291	205	495	31	229	21	9	237	47	—	—	—	—	—	—
2024	17	ROK RAW	DSL Giants Black	—	149	122	34	4	2	1	19	25	7	10	1	279	405	369	774	90	344	17	13	358	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Orange	—	221	186	34	8	0	1	29	39	4	13	4	183	306	242	548	59	224	18	13	253	57	—	—	—	—	—	—
2025	18	ROK RAW	DSL Giants Orange	—	221	174	48	12	0	1	41	31	4	13	4	276	425	362	787	86	329	14	19	365	57	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	199	179	31	5	2	1	16	62	3	11	3	173	253	240	493	67	256	31	8	226	39	—	—	—	—	—	—
2026	19	ROK RAW	ACL Giants	—	199	169	41	7	3	2	26	43	3	11	3	243	354	355	709	112	312	22	13	325	39	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	149	127	22	2	1	0	14	31	7	10	1	173	291	205	495	31	228	21	9	237	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Orange	—	221	186	34	8	0	1	29	39	4	13	4	183	306	242	548	59	222	18	13	253	57	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	199	178	31	5	2	1	16	62	3	11	3	174	253	242	494	67	250	31	8	226	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Giants Black	—	149	127	22	2	1	0	14	31	7	10	1	173	291	205	495	31	228	21	9	237	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Orange	—	221	186	34	8	0	1	29	39	4	13	4	183	306	242	548	59	222	18	13	253	57	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	199	178	31	5	2	1	16	62	3	11	3	174	253	242	494	67	250	31	8	226	39	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	SF	0%	309	276	56	10	2	2	26	82	4	6	2	205	281	284	565	79	278	27	8	260	62	-14	+0	+0	+3	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SF	34%	152	136	29	5	1	2	13	39	2	3	1	211	287	303	590	92	280	26	9	270	69	-6	+0	+0	+2	+3	-0.1
2029	22	MLB MLE	SF	48%	250	224	49	9	2	4	21	64	3	5	1	215	292	317	609	102	282	26	8	277	74	-8	+1	+0	+3	+5	0.1
2030	23	MLB MLE	SF	54%	344	308	67	12	2	6	29	87	4	7	2	219	295	328	623	109	283	25	8	283	78	-9	+1	+0	+4	+7	0.3
2031	24	MLB MLE	SF	55%	406	363	80	14	3	7	35	102	5	9	2	221	298	336	634	115	284	25	9	287	80	-9	+1	+0	+4	+9	0.5
2032	25	MLB MLE	SF	56%	441	395	88	16	3	8	38	110	5	10	3	223	300	341	641	118	285	25	9	290	82	-9	+1	+0	+5	+10	0.6
2033	26	MLB MLE	SF	56%	460	412	92	17	3	9	39	115	6	10	3	223	300	342	641	119	285	25	8	290	82	-10	+1	+0	+5	+10	0.6
2034	27	MLB MLE	SF	55%	467	418	93	17	3	9	40	117	6	10	3	222	299	339	638	117	284	25	9	288	81	-10	+1	+0	+5	+10	0.6
2035	28	MLB MLE	SF	55%	466	418	92	17	3	8	40	118	5	9	3	220	297	335	632	114	283	25	9	286	80	-11	+1	-1	+5	+10	0.4
2036	29	MLB MLE	SF	58%	456	409	89	16	3	8	39	117	5	8	3	218	294	329	623	111	282	26	9	282	77	-12	+0	-1	+5	+10	0.1
2037	30	MLB MLE	SF	60%	446	400	86	15	3	7	38	116	5	7	3	215	291	321	612	106	281	26	9	278	74	-14	+0	-2	+5	+10	-0.1
2028	21	MLB CTX	SF	34%	52	47	10	2	0	1	4	14	1	1	0	207	285	297	581	89	276	27	8	266	69	-2	+0	+0	+1	+1	-0.0
2029	22	MLB CTX	SF	48%	121	108	23	4	1	2	10	31	2	3	1	212	289	310	599	98	278	26	8	273	74	-4	+0	+0	+1	+3	0.0
2030	23	MLB CTX	SF	54%	187	167	36	7	1	3	16	47	2	4	1	215	292	320	612	105	279	25	9	278	78	-5	+0	+0	+2	+4	0.1
2031	24	MLB CTX	SF	55%	225	201	44	8	1	4	19	57	3	5	1	218	295	328	622	110	281	25	8	282	80	-5	+1	+0	+2	+5	0.3
2032	25	MLB CTX	SF	56%	247	221	49	9	2	4	21	62	3	5	1	219	296	333	629	114	281	25	9	285	82	-5	+1	+0	+3	+5	0.3
2033	26	MLB CTX	SF	56%	259	232	51	9	2	5	22	65	3	6	2	219	296	333	629	114	281	25	8	285	82	-5	+0	+0	+3	+6	0.3
2034	27	MLB CTX	SF	55%	258	231	50	9	2	4	22	65	3	5	2	218	295	331	626	112	280	25	9	284	81	-6	+0	+0	+3	+6	0.3
2035	28	MLB CTX	SF	55%	255	228	49	9	2	4	22	65	3	5	1	217	293	326	620	110	280	25	9	281	80	-6	+1	-0	+3	+6	0.2
2036	29	MLB CTX	SF	58%	265	237	51	9	2	4	23	68	3	5	2	214	291	321	612	106	278	26	9	278	77	-7	+0	-1	+3	+6	0.1
2037	30	MLB CTX	SF	60%	269	241	51	9	2	4	23	70	3	4	2	212	287	314	601	102	277	26	9	274	74	-8	+0	-1	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2138	1913	414	75	15	35	182	544	26	43	13	216	293	326	619	110	282	25	9	280	74	-54	+3	-2	+23	+46	1.7
/ 162G	—	A+C		—	650	582	127	23	5	11	55	165	8	13	4	218	295	332	626	113	284	25	8	280	74	-16	+1	-1	+7	+14	0.5
Career	—	MLE		—	4562	4069	872	157	30	71	400	1145	61	114	33	214	294	320	614	106	279	25	9	278	74	-103	+6	-4	+43	+87	2.8
/ 162G	—	MLE		—	650	580	123	22	4	10	57	163	9	16	5	212	293	316	609	103	276	25	9	278	74	-17	+1	-1	+7	+14	0.5

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 ROKACL Giants · 199 PAwOBA .318 → .226 (−93)K% 21.6% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.61%	÷1.000	×1.440	—	—	31.12%
BB% (unintentional) /PA	13.07%	÷1.000	×0.620	—	×0.995	8.06%
HBP% /PA	1.51%	—	×0.720	—	×0.995	1.08%
Singles /BIP	23.02%	÷1.000	×0.820	×1.016	×0.995	19.08%
Doubles /BIP	5.56%	÷1.000	×0.720	×1.016	×0.995	4.04%
Triples /BIP	2.38%	÷1.000	×0.720	×1.016	×0.995	1.73%
Home runs /BIP	1.59%	÷1.000	×0.780	—	×0.995	1.23%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .318 → .226; ISO .112 → .079; BABIP .312 → .250. 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 Giants Orange · 221 PAwOBA .359 → .253 (−106)K% 14.0% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.03%	÷0.972	×1.220	—	—	17.60%
BB% (unintentional) /PA	18.55%	÷0.974	×0.700	—	×0.995	13.27%
HBP% /PA	1.81%	—	×0.700	—	×0.995	1.26%
Singles /BIP	24.48%	÷0.995	×0.680	×1.011	×0.995	16.82%
Doubles /BIP	8.39%	÷0.933	×0.600	×1.011	×0.995	5.43%
Triples /BIP	0.00%	÷0.900	×0.600	×1.011	×0.995	0.00%
Home runs /BIP	0.70%	÷0.963	×0.470	—	×0.995	0.34%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 99, 2B 87, 3B 80, K 94, BB 95 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .359 → .253; ISO .086 → .056; BABIP .329 → .222. 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 Giants Black · 149 PAwOBA .349 → .237 (−112)K% 16.8% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.78%	÷0.977	×1.220	—	—	20.95%
BB% (unintentional) /PA	12.75%	÷0.971	×0.700	—	×1.008	9.26%
HBP% /PA	4.70%	—	×0.700	—	×1.008	3.31%
Singles /BIP	27.84%	÷0.982	×0.680	×0.990	×1.008	19.23%
Doubles /BIP	4.12%	÷1.057	×0.600	×0.990	×1.008	2.34%
Triples /BIP	2.06%	÷1.127	×0.600	×0.990	×1.008	1.10%
Home runs /BIP	1.03%	÷1.092	×0.470	—	×1.008	0.45%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 96, 2B 111, 3B 125, K 95, BB 94 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .349 → .237; ISO .090 → .048; BABIP .344 → .228. 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
#1Dick 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
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#4Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#5Ronny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,243	39	45	220	293	331	+24	+18	3.2	3.0
/162	664	11	13	+7.1	+5.3	0.9	pk7: 3
#6Ryan 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

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
Anthony Marquez (OGILVIE)	20	45	20	55	60	203/279/281	78	278	1	2	26%	8%	62	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Guillermo Pimentel 2010 · A	20	40	37→30	49→55	45	189/274/253	64	275	5	17	31%	8%	55	-2.0	200/259/279	79	339	6	8	40%	6%	53	-2.1	178/227/247	69	320	8	2	44%	5%	31	-1.0
✕Ricardo Rosario 2023 · A	20	39	36→40	50→55	44	186/249/258	71	249	3	12	26%	7%	45	-2.7	204/271/288	84	283	7	19	28%	7%	60	-1.6	202/282/289	86	263	10	29	26%	8%	63	-0.7
✕Albertson Asigen 2023 · A	21	43	35→40	56→55	50	201/277/262	60	263	2	12	23%	9%	56	-1.9	215/296/295	80	325	5	20	32%	9%	71	-0.8	209/299/294	85	336	7	27	36%	9%	69	-0.3
✕Daniel Vazquez 2024 · A	20	38→48	35→30	50→55	43	179/247/230	51	277	3	17	34%	8%	38	-3.2	205/267/264	59	304	3	16	30%	8%	53	-2.1	211/270/270	58	307	2	17	30%	7%	52	-1.6
✕Heiker Meneses 2011 · A	20	37→47	36→40	54→55	41	179/248/245	66	260	4	18	31%	7%	42	-2.9	225/274/303	78	328	4	17	31%	5%	63	-1.3	236/284/314	78	342	3	18	30%	4%	66	-0.8
✕Luis Andujar 2019 · A	19	40	36→30	53→50	41	189/245/254	65	270	3	9	30%	6%	42	-2.9	201/270/270	69	272	3	10	25%	8%	55	-1.9	192/273/252	60	253	1	12	22%	9%	53	-0.9
✕Mikey Edie 2017 · A	20	43	34→30	50	37	198/261/249	51	290	2	14	30%	5%	47	-2.5	216/266/279	63	314	2	13	30%	4%	55	-1.9	200/250/260	60	280	3	7	28%	3%	41	-1.5
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/266/263	67	278	4	12	29%	8%	53	-2.1	208/305/278	70	291	4	26	27%	9%	72	-0.7	223/339/272	49	296	2	35	22%	11%	80	-0.0
✕Ahbram Liendo 2023 · A	19	39→49	35→30	50→60	47	184/262/243	59	264	1	13	29%	9%	47	-2.6	180/259/240	60	321	3	26	40%	9%	45	-2.7	192/262/253	61	323	5	34	39%	8%	46	-1.8
✕Jose Meza 2023 · A	20	37→42	39→40	48→50	44	183/255/263	80	245	6	10	27%	7%	49	-2.4	199/291/294	95	292	8	8	32%	10%	70	-0.8	186/290/280	94	280	9	10	33%	11%	66	-0.7
✕Jahdiel Santamaria 2007 · A	20	44	36→40	52→50	48	207/266/272	65	255	3	11	19%	7%	54	-2.0	216/276/290	74	256	3	10	16%	7%	61	-1.5	225/279/292	68	266	2	9	15%	6%	60	-0.6
✕Ryan Vega 2017 · A	20	44	40	54→45	41	212/260/305	93	270	8	9	24%	5%	59	-1.6	212/271/300	88	287	7	7	27%	6%	63	-1.4	190/257/269	79	268	7	6	30%	7%	50	-1.3
✕Felix G. Santana 2015 · A	20	41	35→30	46→50	44	194/262/257	63	252	3	10	23%	6%	50	-2.3	210/261/295	85	275	6	7	25%	5%	57	-1.8	221/250/302	81	284	6	0	24%	2%	50	-0.5
✕Guillermo Granadillo 2017 · A	20	43	35→30	49→55	48	201/255/262	61	237	3	16	16%	6%	47	-2.5	216/269/273	57	275	3	17	21%	6%	55	-1.9	217/269/263	46	281	2	20	22%	5%	50	-0.7
✕Cristo Arnal 2006 · A	20	41	34→30	53→50	42	193/242/243	49	260	2	9	25%	6%	38	-3.2	197/246/256	59	252	3	11	22%	6%	42	-2.9	230/276/273	43	273	2	19	16%	5%	54	-0.7
✕Richard Rodriguez 2012 · A	19	38	35→30	48→50	47	182/254/242	60	245	3	12	26%	8%	43	-2.8	189/250/229	40	228	1	14	16%	7%	38	-3.2	191/256/205	14	227	0	12	15%	8%	33	-1.1
✕Dixon Machado 2012 · A	20	45→55	33→45	53→55	45	208/262/242	34	265	1	17	21%	6%	45	-2.7	213/271/276	63	264	3	13	19%	7%	57	-1.8	254/310/331	78	304	5	12	17%	7%	81	-0.1
✕Kenneth Betancourt 2021 · A	21	41→51	35→30	50	39	196/239/263	66	272	2	9	28%	5%	40	-3.0	219/261/284	65	297	3	8	26%	5%	54	-2.0	239/279/298	59	308	3	9	23%	5%	61	-0.7
✕Yoel Romero 2018 · A	20	42	35→40	49→50	48	195/256/250	55	239	2	12	19%	7%	45	-2.7	206/269/277	71	268	5	11	23%	7%	56	-1.9	208/268/291	83	289	8	6	29%	7%	58	-0.7
✕Nate Nankil 2024 · A	21	42→51	37→40	50→45	43	198/250/270	72	264	4	7	26%	6%	47	-2.5	225/294/314	89	290	7	5	23%	7%	75	-0.5	221/293/305	83	282	7	5	22%	7%	69	-0.7

Anthony Marquez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps