Marco Argudin

OF Hickory Crawdads

Age 21 L/L 5'10" / 170 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1605ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	ROKDSL Rangers R…	149	.397/.503/.587	2	15	89	—	.250/.347/.359
2026	20	A/ROKTEX	368	.283/.402/.438	7	12	87	—	.233/.328/.352
2027PROJMLE	21	MLBTEX	478	.217/.300/.331	8	9	80	0.0
2028PROJ25% MLB	22	MLBTEX	80	.222/.304/.346	2	2	84	-0.0
2029PROJ38% MLB	23	MLBTEX	152	.225/.307/.354	3	3	87	0.1

Next 3 projected WAR 0.0Projected 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

Whiff%89

Z-Con%85

Speed73

wRC+70

wOBA68

K%66

Career WAR0.0 WAR median (P10 -0.2 / P90 9.9, comp-based) · star 6% · didn't stick 70%

CompsForrest Wall (age 21) · Jake Fox (age 21) · Enmanuel Terrero (age 21)

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

wRC+†80

AVG/OBP/SLG.216 / .298 / .328

PA210

HR4

K%27

BB%9

ISO114

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Contract

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.4M	—	—	—
2036	Arb-2	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$0.7M	+$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)
2025	19	ROK	DSL Rangers Red	—	149	121	48	9	4	2	21	12	5	15	3	397	503	587	1.090	190	422	8	14	472	89	—	—	—	—	—	—
2026	20	A	Hickory Crawdads	—	286	233	61	10	3	6	40	61	6	10	7	262	379	408	787	146	325	21	14	351	81	—	—	—	—	—	—
2026	20	ROK	ACL Rangers	—	82	64	23	3	3	1	14	13	2	2	4	359	481	547	1.028	188	431	16	17	445	109	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	ROK MLE	DSL Rangers Red	—	149	128	32	5	3	1	14	15	5	15	3	250	347	359	706	109	257	10	9	300	89	—	—	—	—	—	—
2026	20	A MLE	Hickory Crawdads	—	286	248	55	8	3	5	28	83	6	10	7	222	316	339	654	117	298	29	10	288	81	—	—	—	—	—	—
2026	20	ROK MLE	ACL Rangers	—	82	70	19	2	2	1	9	19	2	2	4	271	370	400	770	129	336	23	11	329	109	—	—	—	—	—	—
2025	19	ROK MLE	DSL Rangers Red	—	149	128	32	5	3	1	14	15	5	15	3	250	347	359	706	109	272	10	9	300	89	—	—	—	—	—	—
2025	19	ROK RAW	DSL Rangers Red	—	149	121	48	9	4	2	21	12	5	15	3	397	503	587	1.090	190	422	8	14	472	89	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	368	318	75	11	5	6	37	102	8	12	11	236	331	358	689	123	322	28	10	297	87	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	368	297	84	13	6	7	54	74	8	12	11	283	402	438	840	155	350	20	15	372	87	—	—	—	—	—	—
2025	19	ROK MLE	DSL Rangers Red	—	149	129	32	5	3	1	14	15	5	15	3	248	347	357	704	109	257	10	9	300	89	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	368	320	75	11	5	6	37	102	8	12	11	234	331	356	687	122	306	28	10	297	87	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	ROK MLE	DSL Rangers Red	—	149	129	32	5	3	1	14	15	5	15	3	248	347	357	704	109	257	10	9	300	89	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	368	320	75	11	5	6	37	102	8	12	11	234	331	356	687	122	306	28	10	297	87	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TEX	0%	478	425	92	17	3	8	44	128	6	9	4	217	300	331	631	114	288	27	9	287	80	-11	+0	+1	-3	+10	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TEX	25%	320	284	62	11	2	6	29	84	4	7	3	221	304	342	646	121	289	26	9	292	84	-6	+0	+1	-2	+7	-0.0
2029	23	MLB MLE	TEX	38%	397	353	79	14	3	8	36	103	5	8	3	224	306	350	656	125	290	26	9	296	87	-6	+0	+1	-2	+9	0.1
2030	24	MLB MLE	TEX	44%	446	396	90	16	3	10	41	114	6	10	4	226	308	355	664	129	291	26	9	299	89	-6	+0	+1	-3	+10	0.2
2031	25	MLB MLE	TEX	47%	473	420	95	17	3	10	44	120	6	10	4	228	309	359	668	131	291	25	9	301	90	-6	+0	+1	-3	+10	0.3
2032	26	MLB MLE	TEX	49%	486	432	98	18	3	11	45	123	6	10	4	228	310	361	671	133	291	25	9	302	91	-5	+0	+1	-3	+11	0.4
2033	27	MLB MLE	TEX	49%	489	435	99	18	3	11	45	124	6	10	4	227	309	358	667	131	290	25	9	301	90	-6	+0	+1	-3	+11	0.3
2034	28	MLB MLE	TEX	49%	486	432	97	18	3	10	45	125	6	9	4	225	307	354	660	128	289	26	9	298	88	-7	+0	+0	-3	+11	0.1
2035	29	MLB MLE	TEX	48%	475	423	94	17	3	10	43	123	6	8	4	223	304	347	651	124	287	26	9	294	85	-8	+0	-0	-3	+10	-0.1
2036	30	MLB MLE	TEX	47%	463	413	90	16	3	9	42	122	5	8	4	220	300	339	639	119	285	26	9	289	82	-10	+0	-1	-3	+10	-0.4
2028	22	MLB CTX	TEX	25%	80	72	17	3	1	2	7	21	1	2	1	222	304	346	651	124	289	26	9	294	84	-2	+0	+0	-0	+2	-0.0
2029	23	MLB CTX	TEX	38%	152	135	30	5	1	3	14	39	2	3	1	225	307	354	661	129	289	26	9	298	87	-2	+0	+0	-1	+3	0.1
2030	24	MLB CTX	TEX	44%	196	173	39	7	1	4	18	50	3	4	2	227	309	360	669	133	290	26	9	301	89	-3	+0	+0	-1	+4	0.1
2031	25	MLB CTX	TEX	47%	223	197	46	8	2	5	21	57	3	5	2	229	310	364	674	135	290	26	9	303	90	-3	+0	+0	-1	+5	0.2
2032	26	MLB CTX	TEX	49%	239	212	49	8	2	6	22	60	3	5	2	229	311	366	677	137	290	25	9	304	91	-3	+0	+1	-1	+5	0.2
2033	27	MLB CTX	TEX	49%	240	213	49	8	2	6	22	61	3	5	2	228	310	363	673	135	290	25	9	303	90	-3	+0	+1	-1	+5	0.2
2034	28	MLB CTX	TEX	49%	239	212	49	8	2	6	22	61	3	5	2	226	307	358	666	132	288	26	9	300	88	-4	+0	+0	-1	+5	0.1
2035	29	MLB CTX	TEX	48%	229	203	45	8	1	5	21	59	3	4	2	224	305	352	656	128	287	26	9	296	85	-4	+0	-0	-1	+5	-0.1
2036	30	MLB CTX	TEX	47%	220	195	43	7	1	5	20	58	3	4	2	220	301	343	644	123	285	26	9	291	82	-5	+0	-1	-1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1818	1612	367	62	13	42	167	466	24	37	16	228	309	360	670	133	292	26	9	300	87	-27	+1	+2	-11	+39	0.4
/ 162G	—	A+C		—	650	576	131	22	5	15	60	167	9	13	6	227	311	361	672	134	292	26	9	300	87	-10	+0	+1	-4	+14	0.2
Career	—	MLE		—	4762	4220	952	168	36	96	440	1211	66	111	50	226	309	351	659	125	291	25	9	297	87	-66	+2	+5	-25	+92	0.8
/ 162G	—	MLE		—	650	576	130	23	5	13	60	165	9	15	7	226	309	351	659	125	292	25	9	297	87	-10	+0	+1	-4	+14	0.1

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 · 286 PAwOBA .347 → .288 (−58)K% 21.3% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.33%	÷1.000	×1.360	—	—	29.01%
BB% (unintentional) /PA	13.99%	÷1.000	×0.690	—	×1.015	9.80%
HBP% /PA	2.10%	—	×0.780	—	×1.015	1.66%
Singles /BIP	24.42%	÷1.000	×0.920	×1.006	×1.015	22.94%
Doubles /BIP	5.81%	÷1.000	×0.830	×1.006	×1.015	4.93%
Triples /BIP	1.74%	÷1.000	×0.910	×1.006	×1.015	1.62%
Home runs /BIP	3.49%	÷1.000	×0.800	—	×1.015	2.83%

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 ×1.006.

Result: wOBA .347 → .288; ISO .146 → .122; BABIP .325 → .298. 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 · 82 PAwOBA .440 → .329 (−111)K% 15.9% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.85%	÷1.000	×1.440	—	—	22.83%
BB% (unintentional) /PA	17.07%	÷1.000	×0.620	—	×0.985	10.43%
HBP% /PA	2.44%	—	×0.720	—	×0.985	1.73%
Singles /BIP	31.37%	÷1.000	×0.820	—	×0.985	25.34%
Doubles /BIP	5.88%	÷1.000	×0.720	—	×0.985	4.17%
Triples /BIP	5.88%	÷1.000	×0.720	—	×0.985	4.17%
Home runs /BIP	1.96%	÷1.000	×0.780	—	×0.985	1.51%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .440 → .329; ISO .188 → .142; BABIP .431 → .336. 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 Rangers Red · 149 PAwOBA .467 → .300 (−167)K% 8.1% → 9.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.05%	÷1.004	×1.220	—	—	9.79%
BB% (unintentional) /PA	14.09%	÷1.034	×0.700	—	×0.985	9.40%
HBP% /PA	3.36%	—	×0.700	—	×0.985	2.31%
Singles /BIP	30.28%	÷0.993	×0.680	×0.952	×0.985	19.45%
Doubles /BIP	8.26%	÷1.108	×0.600	×0.952	×0.985	4.19%
Triples /BIP	3.67%	÷0.900	×0.600	×0.952	×0.985	2.29%
Home runs /BIP	1.83%	÷1.259	×0.470	—	×0.985	0.67%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 152, 1B 99, 2B 122, 3B 80, K 101, BB 107 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .467 → .300; ISO .190 → .104; BABIP .422 → .257. 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
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#3Sam Fuld'07-'15 * career totals — 6 seasons, 1,535 PA	2.3	1,535	12	67	230*	314*	336*	-10	+29	3.7	4.0
/162	664	5	29	-4.3	+12.7	1.6	pk7: 4
#4Dustan Mohr'01-'07 * career totals — 5 seasons, 1,537 PA	2.3	1,537	49	13	241*	315*	412*	-15	+20	3.8	3.8
/162	664	21	6	-6.6	+8.6	1.6	pk7: 4
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.1	2,027	42	40	225	303	352	-12	+10	1.3	1.3
/162	664	14	13	-4.0	+3.3	0.4	pk7: 1
#6James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	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
Marco Argudin (OGILVIE)	21	—	—	—	—	216/298/328	113	288	4	4	27%	9%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Forrest Wall 2017 · A	21	47→55	40→45	52→70	43	226/279/321	95	294	7	17	25%	6%	70	-0.9	222/278/324	102	303	9	19	28%	7%	70	-0.8	250/321/350	101	344	8	50	27%	8%	89	+0.3
✕Jake Fox 2024 · A	21	45→44	41→40	51→50	48	214/291/317	103	293	7	11	28%	9%	74	-0.5	206/285/303	97	281	6	12	26%	10%	69	-0.9	203/291/297	94	273	5	13	25%	11%	68	-0.5
✕Enmanuel Terrero 2024 · A	21	49	41→45	51→55	48	228/305/328	100	320	8	16	29%	10%	82	-0.0	198/259/296	98	322	10	15	39%	7%	57	-1.8	148/206/227	79	248	11	17	43%	6%	20	-1.2
✕Troy Montgomery 2017 · A	22	46→56	43→40	50	44	224/285/338	114	293	10	12	26%	7%	76	-0.4	231/297/327	96	311	7	13	26%	8%	78	-0.3	239/309/329	90	322	6	14	25%	9%	81	-0.1
✕Dwight Smith Jr. 2014 · A	21	48→55	40→50	52→50	45	231/285/319	88	290	8	13	23%	7%	72	-0.7	244/299/352	108	296	8	10	19%	7%	84	+0.1	250/311/385	135	298	13	9	20%	7%	96	+0.8
✕Ramón Flores 2013 · A	21	51→59	41→45	51→50	45	244/297/346	101	307	7	12	22%	6%	82	+0.0	245/307/354	109	301	8	8	20%	8%	88	+0.4	255/328/354	99	304	9	8	18%	9%	94	+0.6
✕Alejandro Osuna 2024 · A	21	47→56	43→45	50→55	46	226/298/334	107	305	11	21	28%	8%	81	-0.1	237/309/354	117	303	11	18	24%	8%	89	+0.5	244/321/351	107	303	9	19	21%	8%	91	+0.5
✕Colin Walsh 2011 · A	21	44→52	40→45	53→50	52	213/295/309	95	271	8	10	23%	10%	74	-0.6	224/297/348	124	275	11	8	21%	9%	84	+0.1	214/321/331	117	302	10	7	29%	13%	87	+0.3
✕Akil Baddoo 2019 · A	20	43→53	43→50	56→55	47	207/283/329	122	293	8	13	30%	9%	74	-0.6	215/284/346	131	317	11	16	33%	9%	78	-0.3	238/319/386	148	309	15	24	26%	11%	100	+0.9
✕Carlos Vidal 2017 · A	21	46	42→45	49→50	49	226/296/336	110	274	9	12	21%	8%	80	-0.1	230/278/320	90	300	5	7	24%	6%	69	-0.9	235/281/325	90	304	4	6	23%	5%	68	-0.5
✕Juan Silva 2013 · A	22	46→47	42→45	48→55	46	217/290/321	104	313	9	13	32%	9%	74	-0.5	228/306/330	102	307	8	24	26%	10%	82	+0.0	227/308/323	96	296	6	29	23%	10%	79	-0.1
✕Yohendrick Pinango 2023 · A	21	47→54	43→50	52→50	42	231/269/337	106	282	10	9	22%	5%	70	-0.9	217/274/323	106	272	10	10	23%	7%	69	-0.9	223/292/355	132	284	14	7	25%	8%	81	-0.0
✕Drew Vettleson 2012 · A	21	44→51	44→45	53→50	42	217/271/334	117	291	11	15	29%	6%	70	-0.8	226/272/335	109	308	9	9	28%	6%	70	-0.8	225/270/336	111	305	9	7	28%	5%	67	-0.8
✕Juan Perez 2013 · A	21	46→50	42→45	52→55	45	223/280/339	116	273	8	14	22%	6%	74	-0.5	212/253/315	103	274	8	17	25%	5%	59	-1.7	226/270/343	117	292	13	24	27%	5%	69	-0.6
●Daylen Lile 2024 · A	21	44→54	44→55	55	43	213/273/340	127	293	10	15	30%	7%	72	-0.7	244/298/387	143	300	11	16	22%	6%	92	+0.7	254/307/414	160	300	13	17	19%	6%	101	+1.4
●Dylan Beavers 2023 · A	21	54→52	40→50	54→55	49	250/321/353	103	332	5	14	24%	9%	93	+0.8	230/303/363	133	312	12	21	28%	9%	89	+0.5	228/310/367	139	301	14	23	27%	10%	91	+0.6
✕Chris Pieters 2017 · A	22	48	39→45	54→55	48	225/305/313	88	293	6	17	24%	8%	79	-0.2	206/264/295	89	290	5	12	29%	6%	58	-1.7	195/251/286	91	274	5	13	29%	6%	49	-0.9
✕Shed Long Jr. 2017 · A	21	47→50	44→50	51→50	42	230/288/353	123	315	11	11	30%	7%	81	-0.1	238/298/379	141	324	14	11	29%	7%	91	+0.6	238/300/387	148	320	15	11	29%	7%	91	+0.5
●Cody Freeman 2022 · A	21	44→54	41→50	53→50	48	212/289/312	100	263	9	11	22%	8%	73	-0.6	206/260/326	120	247	14	9	22%	6%	65	-1.2	257/301/394	137	287	15	10	16%	5%	94	+0.6
✕Rene Tosoni 2008 · A	22	48→51	39→45	51→45	45	225/300/313	89	297	5	11	25%	7%	77	-0.3	242/316/358	116	320	9	8	25%	7%	93	+0.8	249/325/385	135	328	11	7	25%	7%	99	+0.6

Marco Argudin

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps