Marco Argudin — OGILVIE

Marco ArgudinOF Hickory Crawdads

Age 20 L/L 5'10" / 170 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION368 act + 9 ros · stats below = ROS only

showingROS

wRC+†86

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP306

ISO120

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Tools · ContractCON 52 / POW 43

Toolsscout grade

CONTACT52

scouting grade only

POWER43

scouting grade only

EYE58

scouting grade only

SPEED58

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2031
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	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$2M	+0.4	$0.9M	+$0.0M
2035	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$5M		$5M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ 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	206	+19	+2	—	—	+3	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	ROK MLE	DSL Rangers Red	—	149	129	38	6	3	1	13	17	5	15	3	295	381	411	792	116	315	11	9	344	119	+3	+2	—	—	+3	0.9
2025	19	ROK MLE	DSL Rangers Red	—	149	129	38	6	3	1	13	17	5	15	3	295	381	411	792	116	327	11	9	344	119	—	—	—	—	—	—
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	119	—	—	—	—	—	—
2025	19	ROK MLE	DSL Rangers Red	—	149	130	38	6	3	1	13	17	5	15	3	292	381	408	789	115	315	11	9	344	119	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	19	ROK MLE	DSL Rangers Red	—	149	130	38	6	3	1	13	17	5	15	3	292	381	408	789	115	315	11	9	344	119	—	—	—	—	—	—
YTD	20	A MLE	TEX	—	368	321	74	10	5	6	34	105	8	12	11	231	320	349	668	118	318	29	9	294	85	-6	-2	+0	-2	+8	-0.3
▸ 2026 season
YTD	20	ROK RAW	TEX	—	82	64	23	3	3	1	14	13	2	2	4	359	481	547	1.028	188	431	16	17	445	85	—	—	—	—	—	—
YTD	20	A RAW	TEX	—	286	233	61	10	3	6	40	61	6	10	7	262	379	408	787	146	325	21	14	351	85	—	—	—	—	—	—
ROS	20	A MLE	TEX	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		304	33	11	296	86	-0	+0	+0	-0	+0	-0.0
TOT	20	A MLE	TEX	—	377	329	75	10	5	6	35	108	8	12	11	228	317	343	661	116	315	29	9	294	85	-7	-2	+0	-2	+8	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	TEX	34%	357	316	72	12	3	7	32	96	6	7	4	228	311	351	662	123	303	27	9	302	91	-4	-0	+0	-2	+8	0.1
2028	22	MLB MLE	TEX	48%	444	394	92	16	4	10	40	117	7	10	5	234	315	371	686	137	303	26	9	307	94	-3	+0	+0	-3	+10	0.4
2029	23	MLB MLE	TEX	54%	494	438	104	18	4	12	45	128	8	11	6	237	320	379	699	142	303	26	9	311	97	-2	-0	+0	-3	+11	0.6
2030	24	MLB MLE	TEX	55%	525	464	110	19	4	13	48	135	8	12	7	237	319	379	699	142	303	26	9	314	98	-1	-0	+0	-3	+11	0.7
2031	25	MLB MLE	TEX	56%	539	477	113	19	5	13	49	138	8	12	7	237	318	379	698	143	303	26	9	315	99	-1	-0	+0	-3	+12	0.8
2032	26	MLB MLE	TEX	56%	545	481	116	20	5	14	50	139	9	13	7	241	324	391	715	150	303	26	9	315	99	-0	-0	+0	-3	+12	0.8
2033	27	MLB MLE	TEX	55%	544	480	114	19	4	14	50	139	9	13	7	237	321	381	702	144	303	26	9	315	99	-0	-0	+0	-3	+12	0.8
2034	28	MLB MLE	TEX	55%	538	475	112	19	4	13	50	139	8	12	7	236	319	375	694	139	302	26	9	314	99	-1	-0	-1	-3	+12	0.7
2035	29	MLB MLE	TEX	53%	528	465	110	19	4	13	50	137	8	12	6	237	321	378	700	142	302	26	9	312	97	-2	+0	-1	-3	+11	0.5
2036	30	MLB MLE	TEX	53%	517	455	106	18	4	12	49	135	8	11	6	233	318	369	688	136	300	26	9	309	96	-3	-0	-2	-3	+11	0.3
2037	31	MLB MLE	TEX	52%	503	443	102	17	4	12	47	133	8	10	6	230	315	368	683	138	298	26	9	305	93	-4	-0	-3	-3	+11	0.0
2038	32	MLB MLE	TEX	56%	484	429	97	16	4	11	45	130	7	9	5	226	310	359	669	133	295	27	9	300	89	-6	-0	-4	-3	+10	-0.2
2027	21	MLB CTX	TEX	34%	123	109	25	4	1	3	11	33	2	3	1	229	311	367	678	138	305	27	9	294	91	-1	+0	+0	-1	+3	0.1
2028	22	MLB CTX	TEX	48%	215	191	45	8	2	5	19	57	3	5	3	236	315	377	692	141	305	27	9	300	94	-1	-0	+0	-1	+5	0.2
2029	23	MLB CTX	TEX	54%	268	238	57	10	2	7	24	69	4	6	3	239	320	387	706	147	305	26	9	304	97	-1	+0	+0	-2	+6	0.3
2030	24	MLB CTX	TEX	55%	291	258	62	11	2	8	26	75	5	7	4	240	322	391	713	151	306	26	9	307	98	-1	-0	+0	-2	+6	0.4
2031	25	MLB CTX	TEX	56%	302	267	65	11	3	8	27	77	5	7	4	243	324	397	721	154	306	25	9	308	99	-0	-0	+0	-2	+7	0.4
2032	26	MLB CTX	TEX	56%	307	271	66	11	3	8	28	78	5	7	4	244	326	395	720	151	306	25	9	308	99	-0	-0	+0	-2	+7	0.4
2033	27	MLB CTX	TEX	55%	301	265	64	11	2	8	28	77	5	7	4	242	326	389	714	147	305	26	9	309	99	-0	-0	+0	-2	+7	0.4
2034	28	MLB CTX	TEX	55%	295	260	63	11	2	8	28	76	5	7	4	242	328	392	720	150	305	26	9	307	99	-0	-0	-0	-2	+6	0.4
2035	29	MLB CTX	TEX	53%	282	249	59	10	2	7	27	73	4	6	3	237	321	378	699	141	304	26	10	306	97	-1	+0	-1	-2	+6	0.3
2036	30	MLB CTX	TEX	53%	272	240	56	9	2	7	26	71	4	6	3	233	319	375	694	142	303	26	10	303	96	-1	+0	-1	-2	+6	0.2
2037	31	MLB CTX	TEX	52%	262	231	53	9	2	6	25	69	4	5	3	229	315	364	679	134	300	26	10	299	93	-2	-0	-1	-2	+6	0.0
2038	32	MLB CTX	TEX	56%	272	241	54	9	2	6	25	73	4	5	3	224	307	353	660	129	297	27	9	293	89	-4	-0	-2	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3190	2820	669	114	25	81	294	828	50	71	39	237	320	382	702	144	305	26	9	304	97	-14	-1	-6	-19	+69	3.0
/ 162G	—	A+C		—	650	575	136	23	5	17	60	169	10	14	8	237	319	383	702	146	304	26	9	304	97	-3	-0	-1	-4	+14	0.6
Career	—	MLE		—	6176	5454	1287	218	52	145	569	1586	99	147	76	236	319	375	694	139	304	26	9	311	97	-27	-3	-10	-36	+131	5.5
/ 162G	—	MLE		—	650	574	135	23	5	15	60	167	10	15	8	235	318	371	689	136	303	26	9	311	97	-3	-0	-1	-4	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,403	81	75	235	314	374	-20	+0	5.5	4.8
/162	664	16	15	-4.0	+0.0	1.1	pk7: 4
#4Michael 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
#5Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	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
Marco Argudin (OGILVIE)	20	47→52	38→43	53→58	58	223/305/342	119	304	4	6	28%	9%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Akil Baddoo 2019 · A	20	42→52	43→50	56→55	47	203/279/323	120	288	8	13	30%	9%	71	-0.8	213/282/343	130	314	11	16	33%	9%	76	-0.4	236/319/383	147	308	15	24	26%	11%	96	+0.7
●Evan Carter 2022 · A	19	46→53	42→50	52→55	55	216/324/330	114	293	8	18	27%	12%	91	+0.6	237/321/380	143	308	13	20	25%	10%	100	+1.3	237/324/389	152	306	14	21	25%	10%	100	+0.9
✕Forrest Wall 2016 · A	20	47→55	42→45	57→70	46	225/280/336	111	286	8	18	24%	7%	74	-0.6	219/272/313	94	293	8	18	26%	6%	65	-1.2	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Jarred Kelenic 2019 · A	20	45→54	43→60	57→50	42	218/277/333	115	296	10	13	29%	7%	72	-0.7	226/284/402	176	289	21	13	28%	7%	91	+0.7	223/292/404	181	286	20	15	29%	8%	92	+0.6
●TJ Friedl 2017 · A	21	48→54	42→50	51→55	42	229/286/340	110	309	8	11	27%	6%	77	-0.3	227/295/326	99	297	6	15	24%	7%	78	-0.3	249/340/389	140	279	15	18	16%	10%	106	+1.6
✕Alek Thomas 2021 · A	21	50→54	42→50	48→50	43	238/291/351	112	318	9	10	27%	6%	81	-0.1	246/300/391	145	306	13	11	23%	6%	94	+0.9	245/298/391	146	296	14	11	21%	6%	91	+0.6
✕Robert Hassell III 2022 · A	20	51→53	44→45	55	47	245/311/372	127	329	11	19	28%	8%	94	+0.9	224/286/321	97	321	9	16	30%	8%	73	-0.6	228/280/309	81	303	8	19	26%	6%	64	-0.9
✕Cole Young 2023 · A	20	50→51	46→45	49→50	47	248/302/374	126	296	14	11	21%	7%	91	+0.7	233/316/354	121	279	10	13	19%	9%	92	+0.7	238/315/361	123	274	12	9	17%	8%	91	+0.6
●Jackson Merrill 2023 · A	20	51→57	43→60	51→50	42	247/291/361	114	327	10	12	27%	6%	83	+0.1	260/301/422	162	298	18	11	19%	5%	102	+1.5	266/313/459	193	307	23	15	21%	6%	112	+2.1
✕Rudy Martin Jr. 2016 · A	20	49	39→45	60→65	52	227/313/330	103	311	4	16	26%	10%	85	+0.2	205/272/294	89	330	6	26	36%	7%	61	-1.5	229/304/333	104	308	11	52	28%	9%	79	-0.1
●Domonic Brown 2009 · A	21	51→54	41→50	51→55	48	245/304/346	101	299	9	14	20%	7%	85	+0.2	252/311/396	144	315	14	18	23%	8%	99	+1.3	252/317/406	154	312	16	20	23%	8%	103	+1.1
✕Colt Keith 2023 · A	21	48→54	47→55	53→45	45	235/299/375	141	327	14	8	31%	8%	90	+0.6	251/308/406	155	312	17	5	24%	7%	101	+1.4	256/316/410	154	310	18	4	23%	8%	102	+1.3
●Jahmai Jones 2018 · A	20	48→50	42→50	51→50	43	233/284/342	109	297	9	16	24%	6%	77	-0.3	208/268/307	99	274	8	13	26%	7%	63	-1.4	248/345/422	173	324	16	18	26%	11%	114	+1.3
✕Taylor Trammell 2018 · A	20	45→46	41→55	57→55	43	217/275/321	104	306	8	21	30%	7%	69	-0.9	208/280/300	92	300	8	18	31%	9%	66	-1.1	203/297/373	170	273	21	23	32%	11%	88	+0.3
✕Carlos Jimenez 2023 · A	20	38→41	47→50	53→55	46	189/281/323	135	287	14	16	37%	10%	73	-0.6	211/290/332	121	325	11	16	35%	9%	78	-0.3	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Marcelo Mayer 2023 · A	20	47→46	48→50	55→50	45	222/298/370	148	338	15	13	36%	9%	89	+0.5	223/278/365	142	301	15	12	30%	7%	80	-0.1	233/286/362	129	291	13	10	24%	6%	80	-0.0
✕Blaze Alexander 2019 · A	20	48	42→45	52→50	43	226/288/345	119	321	8	10	30%	7%	79	-0.2	202/270/304	102	302	9	11	34%	7%	63	-1.3	239/319/362	123	339	12	15	30%	8%	93	+0.6
✕Carlos Vidal 2017 · A	21	48	43→45	49→50	48	234/302/348	114	288	10	12	22%	7%	85	+0.2	231/279/321	90	301	5	7	24%	6%	70	-0.9	236/282/326	90	306	4	6	23%	5%	69	-0.5
✕Juan Perez 2012 · A	20	49→51	41→45	55	45	233/286/340	108	296	7	13	23%	6%	77	-0.3	214/261/322	108	273	8	15	24%	5%	63	-1.3	223/266/335	112	289	12	24	27%	5%	66	-0.7
✕Shed Long Jr. 2017 · A	21	47→49	44→50	51→50	42	227/284/347	121	310	11	11	30%	7%	78	-0.3	234/294/372	138	318	14	11	29%	7%	88	+0.4	234/295/378	144	313	15	11	29%	7%	86	+0.3

Career Stats + Projections

Career Comps

Career Path Comps