Carlos Gutierrez

Carlos GutierrezLF Greenville Drive

Age 21 L/R 5'9" / 180 lbs A+ HR -5%K -4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION415 act + 9 ros · stats below = ROS only

showingROS

wRC+†86

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

PA9

HR0

K%22

BB%11

BABIP309

ISO94

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$25M ctrl surplus

Tools · ContractCON 60 / POW 40

Toolsscout grade

CONTACT60

scouting grade only

POWER40

scouting grade only

EYE57

scouting grade only

SPEED55

scouting grade only

DEFENSE55

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Arb-1	$3M	+0.6	$1M	+$0.2M
2034	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2035	Arb-3	$4M	+0.4	$0.8M	+$0.0M (cut)
Totals		$5M		$9M	+$4M

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)
2023	18	ROK	DSL Giants Black	—	90	78	28	4	2	0	11	6	1	12	0	359	444	462	906	103	389	7	12	408	162	+7	+2	—	—	+2	1.1
2025	20	A	San Jose Giants	—	293	248	87	11	4	2	37	40	5	26	3	351	445	452	896	101	413	14	13	401	158	+20	+4	—	—	+6	3.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Giants Black	—	90	83	24	3	1	0	6	8	1	12	0	289	344	349	694	60	330	9	7	321	103	+0	+2	—	—	+2	0.5
2025	20	A MLE	San Jose Giants	—	293	261	80	8	4	1	24	56	5	26	3	307	376	379	755	73	379	19	8	332	111	+4	+4	—	—	+6	1.4
2023	18	ROK MLE	DSL Giants Black	—	90	83	24	3	1	0	6	8	1	12	0	289	344	349	694	60	320	9	7	321	103	—	—	—	—	—	—
2023	18	ROK RAW	DSL Giants Black	—	90	78	28	4	2	0	11	6	1	12	0	359	444	462	906	103	389	7	12	408	103	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	293	261	80	8	4	1	24	56	5	26	3	307	376	379	755	73	387	19	8	332	111	—	—	—	—	—	—
2025	20	A RAW	San Jose Giants	—	293	248	87	11	4	2	37	40	5	26	3	351	445	452	896	101	413	14	13	401	111	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Black	—	90	83	24	3	1	0	6	8	1	12	0	289	344	349	694	60	330	9	7	321	103	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	293	262	80	8	4	1	24	56	5	26	3	305	376	378	754	73	379	19	8	332	111	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Giants Black	—	90	83	24	3	1	0	6	8	1	12	0	289	344	349	694	60	330	9	7	321	103	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	293	262	80	8	4	1	24	56	5	26	3	305	376	378	754	73	379	19	8	332	111	—	—	—	—	—	—
YTD	21	A+ MLE	BOS	—	415	370	85	19	3	7	39	107	3	31	4	230	308	354	662	124	304	26	9	292	84	-8	+5	+0	-4	+9	0.1
▸ 2026 season
YTD	21	A+ RAW	BOS	—	415	350	95	23	3	9	59	80	3	31	4	271	381	431	812	160	328	19	14	363	84	—	—	—	—	—	—
ROS	21	A+ MLE	BOS	0%	9	8	1	0	0	0	1	2	0	1	0	125	222	125	347		303	22	11	295	86	-0	+0	+0	-0	+0	0.0
TOT	21	A+ MLE	BOS	—	424	378	86	19	3	7	40	109	3	32	4	228	306	349	656	122	300	26	9	292	84	-8	+5	+0	-5	+9	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	BOS	43%	426	380	91	17	3	8	39	100	4	15	2	239	317	363	680	124	302	23	9	306	93	-4	+2	+1	-5	+9	0.4
2028	23	MLB MLE	BOS	61%	479	428	104	20	3	10	44	110	4	15	2	243	319	374	693	131	302	23	9	312	97	-2	+2	+1	-5	+10	0.7
2029	24	MLB MLE	BOS	66%	513	456	112	21	4	11	48	116	4	15	2	246	323	382	704	136	302	23	9	316	100	-0	+2	+1	-5	+11	0.9
2030	25	MLB MLE	BOS	69%	527	468	116	22	4	12	49	118	5	14	2	248	326	389	715	141	302	22	9	318	102	+1	+2	+1	-6	+11	1.0
2031	26	MLB MLE	BOS	70%	533	473	117	22	4	13	50	120	5	14	2	247	326	393	719	146	302	23	9	319	102	+1	+2	+1	-6	+12	1.1
2032	27	MLB MLE	BOS	69%	532	471	117	22	4	13	51	120	5	13	2	248	328	395	723	146	302	23	10	319	102	+1	+2	+1	-6	+12	1.1
2033	28	MLB MLE	BOS	68%	527	466	114	22	3	12	51	119	5	12	2	245	326	382	708	137	301	23	10	318	102	+1	+2	+1	-6	+11	0.9
2034	29	MLB MLE	BOS	67%	517	457	111	21	3	12	50	118	5	11	1	243	324	381	705	138	300	23	10	316	100	+0	+2	-0	-6	+11	0.8
2035	30	MLB MLE	BOS	66%	506	448	108	20	3	11	49	117	4	10	1	241	321	373	694	132	299	23	10	314	98	-1	+2	-1	-5	+11	0.5
2036	31	MLB MLE	BOS	65%	492	437	104	19	3	11	48	115	4	9	1	238	319	371	690	133	297	23	10	310	96	-3	+1	-2	-5	+11	0.3
2037	32	MLB MLE	BOS	65%	473	420	99	18	3	10	46	113	4	8	1	236	317	364	681	129	294	24	10	304	92	-5	+1	-2	-5	+10	-0.1
2038	33	MLB MLE	BOS	65%	444	394	91	16	3	9	43	108	4	7	1	231	313	355	668	124	290	24	10	297	87	-7	+1	-3	-5	+10	-0.4
2027	22	MLB CTX	BOS	43%	185	164	40	8	1	3	17	44	2	7	1	244	322	360	682	116	308	24	9	302	93	-2	+1	+0	-2	+4	0.2
2028	23	MLB CTX	BOS	61%	292	261	65	13	2	6	27	67	2	9	1	249	324	383	707	134	307	23	9	308	97	-1	+1	+1	-3	+6	0.4
2029	24	MLB CTX	BOS	66%	340	302	75	15	2	7	32	77	3	10	1	248	326	381	707	132	307	23	9	312	100	-0	+2	+1	-4	+7	0.6
2030	25	MLB CTX	BOS	69%	362	322	80	16	2	8	34	81	3	10	1	248	326	385	711	137	307	22	9	314	102	+1	+2	+1	-4	+8	0.7
2031	26	MLB CTX	BOS	70%	372	331	83	16	2	9	35	84	3	9	1	251	328	393	721	142	307	23	9	315	102	+1	+1	+1	-4	+8	0.7
2032	27	MLB CTX	BOS	69%	367	326	81	16	2	8	35	83	3	9	1	248	327	383	710	135	307	23	10	315	102	+1	+1	+1	-4	+8	0.7
2033	28	MLB CTX	BOS	68%	361	320	80	16	2	8	35	82	3	8	1	250	330	388	717	138	307	23	10	314	102	+1	+1	+0	-4	+8	0.6
2034	29	MLB CTX	BOS	67%	345	306	76	15	2	8	33	79	3	7	1	248	327	389	716	141	306	23	10	312	100	+0	+1	-0	-4	+7	0.5
2035	30	MLB CTX	BOS	66%	332	294	72	14	2	7	32	77	3	7	1	245	325	378	703	133	305	23	10	310	98	-1	+1	-1	-4	+7	0.4
2036	31	MLB CTX	BOS	65%	320	283	69	13	2	7	31	75	3	6	1	244	325	378	703	134	303	23	10	306	96	-2	+1	-1	-3	+7	0.2
2037	32	MLB CTX	BOS	65%	306	270	64	12	2	6	30	73	3	5	1	237	320	363	683	126	299	24	10	300	92	-3	+1	-1	-3	+7	-0.1
2038	33	MLB CTX	BOS	65%	287	255	58	11	1	5	28	70	2	5	1	227	309	337	646	110	295	24	10	294	87	-4	+1	-2	-3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3869	3434	843	165	22	82	369	892	33	92	12	245	325	378	703	132	307	23	10	309	99	-9	+14	+0	-41	+84	4.8
/ 162G	—	A+C		—	650	577	142	28	4	14	62	150	6	15	2	246	326	381	707	135	307	23	10	309	99	-1	+2	+0	-7	+14	0.8
Career	—	MLE		—	6361	5650	1389	251	45	133	599	1440	59	182	22	246	325	377	701	131	306	23	9	314	99	-15	+21	+0	-64	+130	7.3
/ 162G	—	MLE		—	650	577	143	26	5	14	61	147	6	19	2	248	326	383	709	135	308	23	9	314	99	-2	+2	+0	-7	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Marwin Gonzalezlast yr '22 career totals — 11 seasons, 3,882 PA	5.8	3,882	107	44	252	310	399	-10	+17	10.9	10.9
/162	664	18	8	-1.6	+2.8	1.9	pk7: 11
#2Manuel 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
#3Will 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
#4Desmond 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 8 projected seasons	5.8	3,871	85	92	243	319	378	-23	+16	8.7	7.7
/162	664	15	16	-4.0	+2.7	1.5	pk7: 7
#5Alejandro De Azalast yr '17 career totals — 8 seasons, 2,819 PA	4.2	2,819	51	89	259	325	396	-6	-12	7.0	7.2
/162	664	12	21	-1.4	-2.8	1.7	pk7: 7
#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
Carlos Gutierrez (OGILVIE)	21	60	40	55	57	232/308/339	107	303	4	18	24%	9%	86	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Sal Frelick 2022 · A	22	52→60	40	56→55	48	248/308/348	100	311	7	17	22%	8%	87	+0.4	262/323/367	105	305	7	19	16%	7%	97	+1.1	262/330/356	94	300	7	20	14%	8%	95	+0.8
●Maikel Garcia 2022 · A	22	50→58	39→50	58→60	50	236/300/327	91	298	5	22	21%	8%	79	-0.2	247/302/345	98	313	7	27	22%	7%	84	+0.1	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕Chandler Simpson 2023 · A	22	49→59	38→30	56→70	48	228/294/313	86	300	4	17	24%	8%	74	-0.5	270/314/320	50	311	1	59	13%	6%	82	-0.0	303/337/348	46	336	0	63	10%	5%	93	+0.8
●Garin Cecchini 2013 · A	22	53→63	39→45	59→55	45	250/306/346	96	325	5	27	24%	7%	85	+0.2	248/313/347	99	326	6	16	24%	8%	88	+0.5	238/304/329	91	314	6	13	24%	8%	78	-0.2
✕Brandon Roberts 2006 · A	21	50→58	39→40	57→55	43	237/288/323	86	296	6	21	22%	5%	74	-0.6	250/297/316	66	309	4	22	19%	5%	75	-0.5	272/327/339	67	324	4	22	16%	5%	89	+0.3
●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
✕Alexi Amarista 2010 · A	21	56→60	40→45	53→55	49	266/318/375	109	307	5	20	15%	6%	96	+1.0	250/287/350	100	290	5	17	15%	5%	79	-0.2	246/280/345	100	281	5	17	14%	4%	73	-0.5
●Alejandro De Aza 2006 · A	22	53→61	38→50	53→55	47	245/308/336	91	317	4	21	23%	7%	84	+0.2	241/294/332	91	308	4	23	22%	6%	78	-0.3	273/334/407	134	331	11	24	20%	7%	107	+1.9
●Ezequiel Carrera 2009 · A	22	50→60	39→45	57→60	45	235/296/328	93	301	6	20	23%	7%	78	-0.3	261/321/335	74	329	3	25	20%	7%	88	+0.4	256/323/358	102	320	11	15	22%	8%	93	+0.5
✕Tyson Gillies 2010 · A	21	58→64	42→45	57→55	47	278/340/388	110	339	8	25	20%	6%	107	+1.9	258/314/362	104	327	7	17	22%	5%	92	+0.7	236/280/341	106	311	7	15	25%	4%	71	-0.4
●Michael Harris II 2022 · A	21	50→58	42→55	56→55	41	240/290/351	111	316	8	20	26%	6%	81	-0.1	276/319/448	172	335	18	21	22%	5%	115	+2.4	283/325/464	180	333	21	21	21%	5%	119	+2.5
✕Drew Cumberland 2010 · A	21	52	37→45	56→55	50	245/306/328	83	287	4	17	15%	7%	82	-0.0	264/308/386	122	315	10	18	19%	5%	95	+1.0	307/338/450	143	360	14	25	18%	3%	118	+1.5
✕Davis Bradshaw 2019 · A	21	52	37→40	59→50	45	244/300/322	78	309	3	20	21%	6%	78	-0.3	225/271/287	62	293	2	11	23%	4%	59	-1.7	271/324/338	67	344	3	10	21%	5%	87	+0.2
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	229/304/337	108	264	10	17	17%	8%	84	+0.1	252/304/335	83	284	5	13	13%	6%	82	-0.0	264/325/345	82	303	4	14	13%	8%	90	+0.4
✕Michael Gigliotti 2018 · A	22	52	41→40	51→55	50	249/317/350	101	309	7	17	21%	8%	91	+0.6	233/298/319	86	307	5	20	24%	7%	77	-0.3	191/301/300	110	261	10	24	28%	11%	74	-0.2
✕Raimel Tapia 2015 · A	21	55→63	40→50	48→55	41	264/303/358	94	327	7	16	21%	4%	87	+0.4	272/300/386	114	332	9	18	20%	3%	92	+0.7	282/308/400	118	339	8	19	19%	3%	96	+1.0
✕Vidal Bruján 2019 · A	21	55→59	42→45	57→65	50	261/321/373	112	305	8	27	17%	8%	97	+1.1	237/293/341	104	286	8	37	19%	7%	80	-0.2	224/301/331	107	277	8	25	21%	8%	77	-0.2
✕Carlos Mendoza 2022 · A	22	54→55	37→40	56→55	57	248/344/324	76	301	3	18	17%	11%	96	+1.0	237/340/308	71	308	3	14	21%	12%	91	+0.7	242/332/330	88	296	7	18	19%	9%	90	+0.5
●Gerardo Parra 2008 · A	21	55→62	40→50	51→55	44	265/300/360	95	305	7	15	16%	4%	86	+0.3	268/312/373	105	318	7	14	17%	6%	94	+0.9	282/334/396	114	336	7	11	17%	7%	97	+1.0
✕Rafael Ortega 2011 · A	20	53→54	39→50	55	46	253/294/338	86	294	6	21	16%	5%	79	-0.2	232/273/327	95	293	7	20	22%	5%	68	-1.0	239/312/392	154	285	17	17	22%	9%	96	+0.8

Career Stats + Projections

Career Comps

Career Path Comps