Gio Cueto

C Great Lakes Loons

Age 24 R/R 5'10" / 180 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	A+LAD	28	.167/.286/.167	0	0	13	—	.160/.250/.160
2025	22	ALAA	110	.273/.413/.352	1	2	68	—	.215/.330/.280
2026	23	A+LAD	85	.235/.366/.426	4	0	73	—	.194/.293/.333
2026	23	ROKLAD	27	.273/.407/.636	2	0	87	—	.167/.259/.333
2027PROJ0% MLB	24	MLBLAD	1	.210/.284/.321	0	0	74	0.0
2028PROJ30% MLB	25	MLBLAD	53	.212/.287/.329	1	0	77	0.1
2029PROJ44% MLB	26	MLBLAD	118	.214/.289/.335	3	0	79	0.2

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2026 A+

Z-Con%72

BB%71

ISO69

Chase%66

wOBA61

wRC+59

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsAndrew Susac (age 24) · Jaxx Groshans (age 24) · Nick Cimillo (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†74

AVG/OBP/SLG.210 / .284 / .321

PA1

HR0

K%29

BB%8

BABIP283

ISO121

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · Contract

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
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	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-1	$3M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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	22	A+	Great Lakes Loons	—	28	24	4	0	0	0	3	5	1	0	0	167	286	167	452		211	18	11	230	13	—	—	—	—	—	—
2025	22	A	Rancho Cucamonga Quakes	—	110	88	24	4	0	1	17	31	4	2	0	273	413	352	765	80	411	28	15	356	68	—	—	—	—	—	—
2026	23	A+	Great Lakes Loons	—	85	68	16	1	0	4	12	22	2	0	1	235	366	426	792	191	279	26	14	346	73	—	—	—	—	—	—
2026	23	ROK	ACL Dodgers	—	27	22	6	2	0	2	4	6	1	0	0	273	407	636	1.044	364	286	22	15	447	87	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Great Lakes Loons	—	28	25	4	0	0	0	2	6	1	0	0	160	250	160	410		196	21	7	187	13	—	—	—	—	—	—
2025	22	A MLE	Rancho Cucamonga Quakes	—	110	93	20	3	0	1	12	43	4	2	0	215	330	280	610	65	367	39	11	269	68	—	—	—	—	—	—
2026	23	A+ MLE	Great Lakes Loons	—	85	72	14	1	0	3	8	28	2	0	1	194	293	333	626	139	237	33	9	276	73	—	—	—	—	—	—
2026	23	ROK MLE	ACL Dodgers	—	27	24	4	1	0	1	2	9	1	0	0	167	259	333	593	167	205	33	7	297	87	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	138	118	24	3	0	1	14	49	5	2	0	203	314	254	568	51	338	36	10	252	57	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	138	112	28	4	0	1	20	36	5	2	0	250	387	312	699	62	360	26	14	331	57	—	—	—	—	—	—
2026	23	A+ MLE	2 teams	—	112	95	18	2	0	5	11	37	3	0	1	189	294	368	662	179	241	33	10	281	76	—	—	—	—	—	—
2026	23	A+ RAW	2 teams	—	112	90	22	3	0	6	16	28	3	0	1	244	376	478	854	233	281	25	14	370	76	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	138	118	24	3	0	1	14	49	5	2	0	203	314	254	568	51	332	36	10	252	57	—	—	—	—	—	—
2026	23	A+ MLE	2 teams	—	112	97	18	2	0	5	11	37	3	0	1	186	294	361	654	175	229	33	10	281	76	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A MLE	2 teams	—	138	118	24	3	0	1	14	49	5	2	0	203	314	254	568	51	332	36	10	252	57	—	—	—	—	—	—
2026	23	A+ MLE	2 teams	—	112	97	18	2	0	5	11	37	3	0	1	186	294	361	654	175	229	33	10	281	76	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	LAD	0%	200	179	38	6	1	4	16	58	3	1	0	213	287	325	613	112	289	29	8	278	74	-6	+0	+0	+4	+4	0.2
▸ 2027 — real world (MLB)
2027	24	MLB CTX	LAD	0%	1	1	0	0	0	0	0	0	0	0	0	210	284	321	605	111	283	0	0	275	74	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	LAD	30%	174	156	34	6	1	4	14	50	2	1	0	216	290	333	623	117	289	29	8	282	77	-5	+0	+0	+3	+4	0.2
2029	26	MLB MLE	LAD	44%	267	240	52	9	1	6	21	76	4	1	0	218	292	339	631	122	289	28	8	285	79	-7	+0	+0	+5	+6	0.4
2030	27	MLB MLE	LAD	49%	320	287	63	11	2	7	26	90	4	1	0	218	292	340	632	122	289	28	8	285	79	-8	+0	+0	+6	+7	0.5
2031	28	MLB MLE	LAD	52%	354	317	70	12	2	8	29	100	5	1	1	218	292	339	630	121	288	28	8	285	79	-9	-0	-1	+6	+8	0.4
2032	29	MLB MLE	LAD	51%	368	330	72	12	2	8	30	103	5	1	1	217	290	336	626	119	286	28	8	283	78	-10	-0	-1	+7	+8	0.3
2033	30	MLB MLE	LAD	51%	376	338	72	12	2	8	30	107	5	1	1	213	286	328	614	115	284	28	8	278	74	-11	-0	-2	+7	+8	0.1
2034	31	MLB MLE	LAD	51%	359	324	68	12	1	7	28	103	4	1	1	209	281	318	600	109	281	29	8	272	70	-13	-0	-3	+6	+8	-0.2
2028	25	MLB CTX	LAD	30%	53	48	10	2	0	1	4	15	1	0	0	212	287	329	616	116	283	28	8	279	77	-1	+0	+0	+1	+1	0.1
2029	26	MLB CTX	LAD	44%	118	106	23	4	0	3	9	33	2	0	0	214	289	335	624	121	283	28	8	282	79	-3	+0	+0	+2	+3	0.2
2030	27	MLB CTX	LAD	49%	157	141	31	5	1	4	13	44	2	0	0	215	289	336	625	121	282	28	8	283	79	-4	+0	+0	+3	+3	0.2
2031	28	MLB CTX	LAD	52%	182	163	35	6	1	4	15	51	2	0	0	214	288	335	623	120	282	28	8	282	79	-5	+0	-0	+3	+4	0.2
2032	29	MLB CTX	LAD	51%	190	171	36	6	1	4	15	53	2	1	0	213	287	332	619	119	280	28	8	280	78	-5	+0	-1	+3	+4	0.2
2033	30	MLB CTX	LAD	51%	194	175	37	6	1	4	15	55	2	1	0	210	283	324	607	114	278	28	8	275	74	-6	+0	-1	+3	+4	0.1
2034	31	MLB CTX	LAD	51%	185	166	35	6	1	4	15	53	2	1	0	206	279	314	593	108	275	29	8	269	70	-7	+0	-1	+3	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1079	970	207	35	5	24	86	304	13	3	0	213	286	334	620	121	282	28	8	278	75	-30	+1	-4	+19	+23	0.9
/ 162G	—	A+C		—	650	584	124	21	3	14	52	183	8	2	0	212	286	330	616	118	281	28	8	278	75	-18	+0	-2	+12	+14	0.6
Career	—	MLE		—	2569	2296	493	82	12	56	211	744	38	10	5	215	292	334	626	119	289	29	8	279	75	-65	+0	-7	+41	+50	2.0
/ 162G	—	MLE		—	650	581	125	21	3	14	53	188	10	3	1	215	292	334	626	119	290	29	8	279	75	-18	+0	-2	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
#5Gabby Street'04-'31 * career totals — 6 seasons, 1,677 PA	2.5	1,677	2	17	210*	281*	325*	+30	+0	3.1	3.3
/162	664	1	7	+11.8	+0.0	1.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.6	1,078	23	3	216	286	334	+19	+12	1.7	1.7
/162	664	14	2	+11.9	+7.4	1.1	pk7: 2
#6Malachi Kittridge'01-'06 * career totals — 6 seasons, 1,664 PA	2.5	1,664	4	11	219*	281*	319*	+30	+0	1.3	1.3
/162	664	2	4	+11.9	+0.0	0.5	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
Gio Cueto (OGILVIE)	24	—	—	—	—	211/285/322	111	289	2	1	29%	8%	74	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andrew Susac 2014 · AA	24	42→39	47→50	46→30	47	212/288/347	135	284	15	3	30%	9%	80	-0.1	223/295/367	144	296	16	3	28%	8%	88	+0.4	216/287/358	142	283	16	0	28%	8%	82	-0.0
✕Jaxx Groshans 2022 · A	24	46	47→50	47→30	46	228/292/362	134	300	15	4	28%	8%	84	+0.2	198/263/320	122	284	13	5	33%	8%	65	-1.2	121/197/239	117	168	13	0	36%	8%	20	-1.5
✕Nick Cimillo 2024 · A	24	42→37	49→55	47→40	45	211/291/359	149	291	16	5	32%	9%	84	+0.2	206/277/378	172	264	21	5	29%	8%	84	+0.1	191/263/365	174	240	22	3	30%	8%	73	-0.4
✕Dusty Brown 2006 · A	24	43	45	44→30	45	215/278/336	122	282	13	5	28%	8%	74	-0.6	219/275/334	115	288	12	3	27%	7%	72	-0.7	231/294/342	111	311	11	0	28%	7%	78	-0.1
✕Brian O'Keefe 2017 · A	24	43→42	46→50	45→40	49	216/293/350	133	275	13	3	26%	9%	82	+0.0	210/275/344	134	268	14	4	26%	8%	75	-0.5	205/273/347	142	263	18	2	29%	8%	71	-0.5
✕Abrahan Gutierrez 2024 · AA	24	44→41	42→45	43→40	46	214/283/317	104	276	10	4	25%	8%	72	-0.7	219/267/300	81	280	6	5	23%	5%	61	-1.5	225/261/287	62	286	4	2	22%	4%	51	-0.5
✕Chase Strumpf 2022 · AA	24	42→37	43→50	48→45	46	205/287/320	115	295	10	7	32%	9%	74	-0.5	197/296/347	150	315	17	5	39%	10%	84	+0.2	181/287/333	152	294	19	3	41%	11%	75	-0.3
✕Braxton Fulford 2023 · A	24	44→41	47→50	52→50	44	216/299/348	131	298	14	10	31%	8%	85	+0.2	213/288/349	136	291	14	10	30%	7%	82	-0.0	207/283/351	144	282	15	9	30%	7%	78	-0.2
✕Jeferson Morales 2023 · A	24	38→47	46→45	49→50	43	195/275/324	129	258	13	9	29%	7%	71	-0.8	216/290/343	127	275	12	9	25%	7%	80	-0.1	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Wade Wass 2016 · A	24	43	46→50	45	42	211/287/345	134	309	13	3	34%	8%	80	-0.2	204/280/339	135	318	15	9	38%	7%	76	-0.4	194/275/334	140	305	17	11	39%	7%	71	-0.4
✕Jeremy Lucas 2015 · AA	24	45→44	46→45	46→30	49	223/295/358	136	273	13	3	23%	8%	85	+0.2	222/287/333	111	276	11	3	23%	7%	76	-0.4	222/287/326	104	272	10	1	21%	7%	72	-0.4
✕Michael Curry 2021 · A	24	45	42→45	48→45	45	217/284/324	107	301	10	5	30%	8%	73	-0.6	212/277/328	116	326	12	7	36%	8%	72	-0.7	192/263/300	108	298	13	4	38%	8%	57	-0.9
✕Aramis Garcia 2017 · A	24	42	43→50	46→45	41	209/263/314	105	286	12	4	30%	6%	63	-1.4	216/260/357	141	296	17	2	32%	5%	72	-0.7	208/254/358	150	287	19	0	34%	5%	68	-0.7
✕Pedro Pagés 2022 · A	23	43→44	43→50	42→40	42	211/278/315	104	301	11	4	32%	7%	69	-0.9	213/278/334	121	292	14	4	30%	8%	74	-0.6	224/283/361	136	280	17	2	26%	7%	81	-0.0
✕Alex Isola 2021 · A	23	46→44	45→50	49→40	44	228/280/350	122	288	12	8	25%	6%	77	-0.3	216/283/360	144	273	19	4	27%	8%	82	-0.0	212/283/353	141	263	19	2	26%	8%	77	-0.2
✕Chris Westervelt 2006 · A	24	46	44→45	47→45	51	224/302/348	125	278	11	4	23%	9%	86	+0.3	214/278/341	127	304	14	7	32%	8%	75	-0.5	172/236/294	122	249	19	5	38%	8%	49	-0.6
✕Will Craig 2019 · AA	24	44→48	46→55	43→40	43	218/289/352	134	288	14	5	28%	7%	82	+0.0	220/281/373	153	289	19	4	30%	6%	84	+0.1	214/274/369	155	278	21	1	30%	6%	78	-0.2
✕Freuddy Batista 2024 · A	24	42	45→50	49→40	38	207/269/340	132	307	12	5	35%	6%	72	-0.7	212/265/343	131	290	14	4	31%	5%	71	-0.8	206/259/338	132	266	17	4	29%	4%	64	-0.6
✕Ian Rice 2017 · A	23	43→40	47→50	43→30	48	215/294/352	137	286	15	4	29%	9%	84	+0.1	204/288/337	133	276	16	3	30%	10%	78	-0.3	186/275/307	121	251	15	0	30%	10%	65	-0.7
✕Jakson Reetz 2021 · A	25	42→33	46→55	44→45	42	208/286/332	125	292	14	5	32%	7%	77	-0.3	196/273/349	153	268	18	5	33%	6%	76	-0.4	198/277/386	187	246	23	4	29%	6%	83	+0.0

Gio Cueto

Career Stats + Projections

Career Comps

Career Path Comps