Anyelo Marquez

2B Rancho Cucamonga Quakes

Age 21 L/R 6'0" / 166 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKLAA	229	.294/.429/.395	2	20	55	—	.195/.301/.253
2025	19	ROKLAA	191	.230/.317/.364	4	4	22	—	.150/.210/.237
2026	20	ALAA	458	.238/.320/.401	15	10	50	—	.185/.249/.302
2027PROJMLE	21	MLBLAA	564	.188/.250/.300	12	8	54	-0.3
2028PROJ34% MLB	22	MLBLAA	142	.192/.255/.312	3	2	60	-0.3
2029PROJ48% MLB	23	MLBLAA	223	.197/.261/.322	6	4	64	-0.4

Next 3 projected WAR -1.0Projected 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

ISO66

Z-Con%55

Chase%46

Whiff%42

wOBA36

wRC+32

Career WAR0.0 WAR median (P10 -0.1 / P90 0.1, comp-based) · star 1% · didn't stick 93%

CompsIverson Leonardo (age 21) · Izaac Pacheco (age 21) · Yeicok Calderon (age 21)

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

wRC+†54

AVG/OBP/SLG.186 / .248 / .298

PA210

HR4

K%33

BB%6

ISO112

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 30 / POW 30

Toolsscout grade

CONTACT30

scouting grade only

POWER30

scouting grade only

EYE35

scouting grade only

SPEED45

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	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
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		$-3M	+$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. 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)
2023	17	ROK	DSL Angels	—	173	147	34	8	3	0	22	29	0	8	7	231	331	327	658	95	279	17	13	296	19	—	—	—	—	—	—
2024	18	ROK	DSL Angels	—	229	177	52	6	3	2	39	31	3	20	11	294	429	395	825	102	336	14	17	363	55	—	—	—	—	—	—
2025	19	ROK	ACL Angels	—	191	165	38	6	2	4	18	53	3	4	0	230	317	364	681	133	304	28	9	301	22	—	—	—	—	—	—
2026	20	A	Rancho Cucamonga Quakes	—	458	404	96	19	1	15	43	128	6	10	9	238	320	401	721	163	307	28	9	321	50	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Angels	—	173	154	23	5	2	0	15	35	0	8	7	149	225	208	433	58	178	20	9	197	19	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	229	190	37	4	2	1	26	36	3	20	11	195	301	253	554	58	213	16	11	249	55	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	191	173	26	4	1	3	10	79	3	4	0	150	210	237	447	87	232	41	5	201	22	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	458	417	77	14	1	11	30	174	6	10	9	185	249	302	552	118	274	38	7	242	50	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	173	154	23	5	2	0	15	35	0	8	7	149	225	208	433	58	187	20	9	197	19	—	—	—	—	—	—
2023	17	ROK RAW	DSL Angels	—	173	147	34	8	3	0	22	29	0	8	7	231	331	327	658	95	279	17	13	296	19	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	229	190	37	4	2	1	26	36	3	20	11	195	301	253	554	58	228	16	11	249	55	—	—	—	—	—	—
2024	18	ROK RAW	DSL Angels	—	229	177	52	6	3	2	39	31	3	20	11	294	429	395	825	102	336	14	17	363	55	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	191	173	26	4	1	3	10	79	3	4	0	150	210	237	447	87	242	41	5	201	22	—	—	—	—	—	—
2025	19	ROK RAW	ACL Angels	—	191	165	38	6	2	4	18	53	3	4	0	230	317	364	681	133	304	28	9	301	22	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	458	417	77	14	1	11	30	174	6	10	9	185	249	302	552	118	281	38	7	242	50	—	—	—	—	—	—
2026	20	A RAW	Rancho Cucamonga Quakes	—	458	404	96	19	1	15	43	128	6	10	9	238	320	401	721	163	307	28	9	321	50	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	173	156	23	5	2	0	15	35	0	8	7	147	225	205	430	58	178	20	9	197	19	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	229	198	37	4	2	1	26	36	3	20	11	187	301	242	544	56	213	16	11	249	55	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	191	176	26	4	1	3	10	79	3	4	0	148	210	233	443	85	232	41	5	201	22	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	458	419	77	14	1	11	30	174	6	10	9	184	249	301	550	117	274	38	7	242	50	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Angels	—	229	198	37	4	2	1	26	36	3	20	11	187	301	242	544	56	213	16	11	249	55	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	191	176	26	4	1	3	10	79	3	4	0	148	210	233	443	85	232	41	5	201	22	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	458	419	77	14	1	11	30	174	6	10	9	184	249	301	550	117	274	38	7	242	50	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	LAA	0%	564	516	97	18	2	12	37	187	6	8	5	188	250	300	550	112	264	33	7	248	54	-31	-0	+0	+2	+12	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	LAA	34%	414	379	73	13	1	10	28	133	4	6	4	193	256	313	569	119	266	32	7	257	60	-20	-0	+0	+1	+9	-1.0
2029	23	MLB MLE	LAA	48%	461	421	83	15	2	11	32	145	5	7	4	198	262	323	584	125	268	31	7	263	64	-20	-0	+0	+2	+10	-0.8
2030	24	MLB MLE	LAA	53%	512	466	94	17	2	13	36	158	5	8	4	202	266	330	597	129	270	31	7	268	68	-20	+0	+0	+2	+11	-0.7
2031	25	MLB MLE	LAA	55%	557	506	103	19	2	14	40	169	6	9	5	204	270	335	605	131	271	30	7	272	70	-20	-0	+0	+2	+12	-0.6
2032	26	MLB MLE	LAA	56%	566	514	107	20	2	15	41	169	6	9	5	206	272	339	611	133	272	30	7	274	72	-19	-0	+0	+2	+12	-0.5
2033	27	MLB MLE	LAA	55%	566	514	105	19	2	15	41	170	6	8	5	205	271	336	608	131	272	30	7	273	71	-20	-0	+0	+2	+12	-0.6
2034	28	MLB MLE	LAA	55%	560	509	103	19	2	14	41	170	5	7	5	203	269	332	601	129	271	30	7	270	69	-21	-1	-1	+2	+12	-0.8
2028	22	MLB CTX	LAA	34%	142	130	24	4	0	3	10	46	1	2	1	192	255	312	567	119	264	32	7	256	60	-7	+0	+0	+1	+3	-0.3
2029	23	MLB CTX	LAA	48%	223	204	41	7	1	6	15	70	2	4	2	197	261	322	583	125	266	31	7	262	64	-10	+0	+0	+1	+5	-0.4
2030	24	MLB CTX	LAA	53%	270	246	50	9	1	7	19	83	3	4	2	201	265	329	595	129	268	31	7	267	68	-10	+0	+0	+1	+6	-0.4
2031	25	MLB CTX	LAA	55%	305	277	56	10	1	8	22	93	3	5	3	203	269	335	603	131	269	30	7	271	70	-11	-0	+0	+1	+7	-0.3
2032	26	MLB CTX	LAA	56%	315	286	58	10	1	8	23	94	3	5	3	205	271	338	609	133	270	30	7	273	72	-11	-0	+0	+1	+7	-0.3
2033	27	MLB CTX	LAA	55%	311	282	57	10	1	8	23	94	3	5	3	204	270	335	606	131	270	30	7	272	71	-11	-0	+0	+1	+7	-0.3
2034	28	MLB CTX	LAA	55%	306	278	56	10	1	8	22	93	3	4	3	202	268	331	599	129	269	30	7	270	69	-11	-0	-0	+1	+7	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1872	1703	342	60	6	48	134	573	18	29	17	201	266	328	594	127	269	31	7	269	62	-70	-1	-0	+7	+41	-2.5
/ 162G	—	A+C		—	650	591	119	21	2	17	47	199	6	10	6	201	267	330	597	129	269	31	7	269	62	-24	-0	-0	+2	+14	-0.9
Career	—	MLE		—	4897	4435	867	156	20	111	354	1507	51	99	61	195	263	315	578	119	265	31	7	259	62	-150	-2	-1	+14	+83	-5.7
/ 162G	—	MLE		—	650	589	116	21	3	15	47	200	7	13	8	197	265	319	584	122	266	31	7	259	62	-25	-0	-0	+2	+14	-1.0

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 ARancho Cucamonga Quakes · 458 PAwOBA .314 → .242 (−72)K% 27.9% → 38.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.95%	÷1.000	×1.360	—	—	38.01%
BB% (unintentional) /PA	9.39%	÷1.000	×0.690	—	×1.015	6.58%
HBP% /PA	1.31%	—	×0.780	—	×1.015	1.04%
Singles /BIP	22.10%	÷1.000	×0.920	×0.991	×1.015	20.46%
Doubles /BIP	6.88%	÷1.000	×0.830	×0.991	×1.015	5.75%
Triples /BIP	0.36%	÷1.000	×0.910	×0.991	×1.015	0.33%
Home runs /BIP	5.43%	÷1.000	×0.800	—	×1.015	4.41%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .314 → .242; ISO .163 → .121; BABIP .307 → .274. 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 Angels · 191 PAwOBA .300 → .201 (−99)K% 27.7% → 41.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.75%	÷0.969	×1.440	—	—	41.26%
BB% (unintentional) /PA	9.42%	÷1.082	×0.620	—	×0.995	5.37%
HBP% /PA	1.57%	—	×0.720	—	×0.995	1.13%
Singles /BIP	23.21%	÷1.015	×0.820	×0.988	×0.995	18.43%
Doubles /BIP	5.36%	÷0.992	×0.720	×0.988	×0.995	3.82%
Triples /BIP	1.79%	÷1.134	×0.720	×0.988	×0.995	1.11%
Home runs /BIP	3.57%	÷0.873	×0.780	—	×0.995	3.17%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 103, 2B 98, 3B 127, K 94, BB 116 — 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 ×0.988.

Result: wOBA .300 → .201; ISO .133 → .094; BABIP .304 → .232. 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 Angels · 229 PAwOBA .363 → .249 (−115)K% 13.5% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.54%	÷1.038	×1.220	—	—	15.91%
BB% (unintentional) /PA	17.03%	÷1.064	×0.700	—	×0.995	11.15%
HBP% /PA	1.31%	—	×0.700	—	×0.995	0.91%
Singles /BIP	28.08%	÷1.052	×0.680	×1.011	×0.995	18.27%
Doubles /BIP	4.11%	÷1.081	×0.600	×1.011	×0.995	2.30%
Triples /BIP	2.05%	÷0.961	×0.600	×1.011	×0.995	1.29%
Home runs /BIP	1.37%	÷1.068	×0.470	—	×0.995	0.60%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 116, 3B 92, K 108, BB 113 — 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 .363 → .249; ISO .102 → .062; BABIP .336 → .213. 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).

2023 DSLDSL Angels · 173 PAwOBA .296 → .197 (−99)K% 16.8% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.76%	÷1.002	×1.220	—	—	20.41%
BB% (unintentional) /PA	12.72%	÷1.018	×0.700	—	×1.008	8.81%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	19.49%	÷1.028	×0.680	×0.980	×1.008	12.74%
Doubles /BIP	6.78%	÷0.927	×0.600	×0.980	×1.008	4.34%
Triples /BIP	2.54%	÷1.150	×0.600	×0.980	×1.008	1.31%
Home runs /BIP	0.00%	÷0.852	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 106, 2B 85, 3B 130, K 100, BB 104 — 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 ×0.980.

Result: wOBA .296 → .197; ISO .095 → .058; BABIP .279 → .178. 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
#1Ryan 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
#2Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
#3Andres Thomas'85-'90 * career totals — 5 seasons, 2,185 PA	3.3	2,185	42	22	234*	256*	361*	+23	+24	0.5	0.5
/162	664	13	7	+7.1	+7.3	0.2	pk7: 0
#4Todd Cruz'78-'84 * career totals — 5 seasons, 1,634 PA	2.5	1,634	34	9	215*	250*	348*	+13	+35	0.5	0.5
/162	664	14	4	+5.4	+14.2	0.2	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.1	2,083	52	31	202	264	330	+21	+15	-0.1	0.1
/162	664	17	10	+6.6	+4.8	-0.0	pk7: 0
#5Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	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
Anyelo Marquez (OGILVIE)	21	30	30	45	35	186/248/298	111	264	4	3	33%	6%	54	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
✕Izaac Pacheco 2024 · A	21	37→40	43→50	46→45	39	186/244/295	109	281	11	6	36%	7%	51	-2.2	192/261/331	139	309	16	5	40%	8%	67	-1.1	185/263/344	159	294	20	3	41%	9%	69	-0.6
✕Yeicok Calderon 2013 · A	21	37	45→40	45	38	188/244/308	121	287	13	5	38%	7%	55	-2.0	195/241/308	113	318	12	5	40%	6%	53	-2.1	182/224/294	112	290	12	4	40%	5%	42	-1.0
✕Aaron Bracho 2022 · A	21	34→40	43→45	43→40	41	173/243/277	104	270	11	5	38%	8%	48	-2.5	187/254/305	118	266	13	4	33%	7%	58	-1.7	198/262/325	128	249	16	4	27%	7%	64	-0.7
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	174/218/258	84	255	7	7	34%	5%	32	-3.6	190/226/284	94	268	6	9	30%	4%	41	-3.0	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Randy Florentino 2022 · A	22	34	40→45	43→45	40	170/238/253	83	272	8	6	38%	8%	40	-3.1	191/245/278	87	263	9	6	29%	6%	48	-2.5	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Steven Lerud 2006 · A	21	35→42	43→45	47→40	37	180/236/294	114	257	10	5	34%	5%	49	-2.4	190/253/299	109	292	10	4	37%	6%	56	-1.9	199/289/281	82	285	7	2	29%	9%	64	-0.4
✕Cole Roederer 2021 · A	21	39→33	43→45	51→50	42	193/261/303	109	286	10	12	34%	8%	60	-1.6	207/272/319	112	304	11	12	33%	7%	68	-1.0	183/257/295	112	268	12	11	34%	8%	56	-1.1
✕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
✕Rudy van Heydoorn 2010 · A	21	31	39→40	40→50	43	157/245/233	76	238	7	8	35%	8%	39	-3.1	186/267/280	94	282	8	5	34%	9%	57	-1.8	172/284/270	98	232	9	2	27%	12%	64	-0.5
✕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
✕Gavin Conticello 2024 · A	21	36→46	45	48→50	40	185/254/310	126	264	13	8	34%	7%	59	-1.6	219/279/344	125	300	11	8	29%	7%	76	-0.4	230/290/358	128	308	12	7	28%	7%	80	-0.1
✕Bryant Aragon 2019 · A	21	44	40→30	50→40	40	210/264/305	95	300	8	6	31%	6%	61	-1.5	227/279/301	74	353	4	5	34%	6%	65	-1.2	239/288/295	56	374	4	2	35%	6%	64	-0.5
✕Sean McCraw 2007 · A	21	42	41→30	48→30	43	205/275/302	97	291	9	5	31%	8%	65	-1.2	211/292/287	76	299	6	4	28%	9%	68	-1.0	200/287/261	61	283	4	2	28%	10%	58	-0.8
✕Luis Mendez 2023 · A	20	37	41→40	48→50	38	185/243/284	99	267	9	10	33%	6%	49	-2.4	188/253/267	79	273	5	11	31%	7%	49	-2.4	187/247/263	77	253	5	13	27%	7%	43	-1.2
✕Jordan Viars 2024 · A	21	39	40	48→45	39	189/262/280	91	285	8	7	35%	6%	56	-1.9	179/246/285	106	305	11	5	42%	6%	51	-2.3	145/215/250	105	253	13	2	46%	7%	30	-1.5
✕Creed Willems 2024 · A	21	33→43	47→50	45→30	38	180/243/305	126	255	16	3	35%	6%	55	-2.0	206/269/346	140	260	17	3	27%	6%	74	-0.6	210/277/346	136	255	18	1	25%	7%	76	-0.3
✕Travis Swaggerty 2019 · A	21	39→46	41→45	50→55	40	192/251/290	98	279	8	7	33%	7%	53	-2.1	211/277/311	100	301	9	15	31%	8%	68	-1.0	209/278/308	99	307	7	19	32%	8%	63	-0.8
✕Nathan Mikolas 2015 · A	21	40	40	48→45	40	192/263/283	91	288	8	7	34%	7%	57	-1.8	207/266/297	90	302	8	6	32%	6%	60	-1.6	195/255/278	83	281	9	4	32%	6%	49	-0.7
✕Yerlin Confidan 2024 · A	21	38→44	42→45	42→50	38	186/242/296	111	285	9	5	36%	7%	51	-2.3	201/264/304	103	303	8	9	34%	8%	61	-1.5	202/268/305	103	295	9	10	32%	8%	60	-1.2

Anyelo Marquez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps