Gio Cueto — OGILVIE

Gio CuetoC Great Lakes Loons

Age 23 R/R 5'10" / 180 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION112 act + 12 ros · stats below = ROS only

showingROS

wRC+†74

AVG/OBP/SLG.182 / .250 / .182

PA12

HR0

K%33

BB%8

BABIP275

ISO107

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · Contract

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	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Arb-1	$1M	+0.3	$0.7M	+$0.0M
2034	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-3	$0.6M	—	—	—
Totals		$4M		$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. Catcher framing: only 2026 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	42	-2	+0	—	—	+1	-0.1
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	127	+4	+0	—	—	+2	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Great Lakes Loons	—	28	25	3	0	0	0	2	7	1	0	0	120	214	120	334		192	25	7	182	9	-3	+0	—	—	+1	-0.2
2025	22	A MLE	Rancho Cucamonga Quakes	—	110	93	20	3	0	1	12	42	4	2	0	215	330	280	610	65	364	38	11	273	71	-4	+0	—	—	+2	-0.1
2025	22	A MLE	2 teams	—	138	118	23	3	0	1	14	49	5	2	0	195	307	246	552	51	324	36	10	255	58	—	—	—	—	—	—
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	58	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	138	118	23	3	0	1	14	49	5	2	0	195	307	246	552	51	329	36	10	255	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A MLE	2 teams	—	138	118	23	3	0	1	14	49	5	2	0	195	307	246	552	51	329	36	10	255	58	—	—	—	—	—	—
YTD	23	A+ MLE	LAD	—	112	95	18	2	0	5	11	38	3	0	1	189	294	368	662	179	245	34	10	279	75	-3	-0	+0	+2	+2	0.1
▸ 2026 season
YTD	23	ROK RAW	LAD	—	27	22	6	2	0	2	4	6	1	0	0	273	407	636	1.044	364	286	22	15	447	75	—	—	—	—	—	—
YTD	23	A+ RAW	LAD	—	85	68	16	1	0	4	12	22	2	0	1	235	366	426	792	191	279	26	14	346	75	—	—	—	—	—	—
ROS	23	A+ MLE	LAD	0%	12	11	2	0	0	0	1	4	0	0	0	182	250	182	432		279	33	8	278	74	-0	+0	+0	+0	+0	0.0
TOT	23	A+ MLE	LAD	—	124	106	20	2	0	5	12	42	3	0	1	189	289	349	638	160	250	34	10	279	75	-4	-0	+0	+2	+3	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	LAD	30%	207	185	40	7	1	5	17	60	3	1	0	216	293	346	639	130	282	29	8	285	79	-5	+0	+0	+4	+4	0.3
2028	25	MLB MLE	LAD	44%	296	265	57	10	1	7	25	84	4	1	1	215	293	340	632	125	283	28	8	289	82	-6	-0	+0	+5	+6	0.5
2029	26	MLB MLE	LAD	51%	357	319	70	12	2	9	30	100	5	1	1	219	297	354	651	135	284	28	8	292	84	-7	-0	+0	+6	+8	0.7
2030	27	MLB MLE	LAD	52%	388	346	76	13	2	10	33	109	6	1	1	220	299	355	654	136	284	28	9	293	84	-7	-0	+0	+7	+8	0.8
2031	28	MLB MLE	LAD	53%	405	361	78	13	2	10	35	114	6	1	1	216	296	346	642	130	283	28	9	292	84	-8	-0	-1	+7	+9	0.7
2032	29	MLB MLE	LAD	53%	409	364	78	13	2	10	36	116	6	1	1	214	296	343	639	129	282	28	9	290	82	-9	-0	-1	+7	+9	0.6
2033	30	MLB MLE	LAD	52%	408	363	78	13	2	10	36	117	6	1	1	215	296	344	641	129	281	29	9	287	81	-9	-0	-2	+7	+9	0.4
2034	31	MLB MLE	LAD	52%	387	344	72	12	1	9	34	112	6	1	1	209	292	328	620	119	278	29	9	283	78	-10	-0	-3	+7	+8	0.2
2035	32	MLB MLE	LAD	52%	360	321	66	11	1	8	31	105	5	1	1	206	286	321	607	115	275	29	9	278	74	-11	-0	-4	+6	+8	-0.1
2027	24	MLB CTX	LAD	30%	63	57	12	2	0	2	5	18	1	0	0	211	286	351	637	140	278	29	8	272	79	-2	+0	+0	+1	+1	0.1
2028	25	MLB CTX	LAD	44%	131	117	24	4	0	3	11	37	2	0	0	205	285	316	601	111	279	28	8	277	82	-3	+0	+0	+2	+3	0.2
2029	26	MLB CTX	LAD	51%	181	161	35	6	1	5	15	51	3	1	0	217	296	360	656	143	280	28	8	280	84	-3	+0	+0	+3	+4	0.4
2030	27	MLB CTX	LAD	52%	203	181	39	7	1	5	17	57	3	1	0	215	294	348	642	133	280	28	8	281	84	-4	+0	+0	+4	+4	0.5
2031	28	MLB CTX	LAD	53%	216	192	42	7	1	6	19	61	3	1	0	219	299	359	658	141	279	28	9	280	84	-4	+0	-0	+4	+5	0.4
2032	29	MLB CTX	LAD	53%	215	191	42	7	1	6	19	61	3	1	0	220	300	361	662	141	278	28	9	278	82	-4	+0	-1	+4	+5	0.4
2033	30	MLB CTX	LAD	52%	213	189	40	7	1	5	19	61	3	1	0	212	294	339	632	127	277	29	9	276	81	-5	+0	-1	+4	+5	0.3
2034	31	MLB CTX	LAD	52%	201	178	37	6	1	5	18	58	3	1	0	208	291	337	629	129	274	29	9	272	78	-5	+0	-1	+4	+4	0.1
2035	32	MLB CTX	LAD	52%	186	165	33	5	1	4	16	54	3	1	0	200	283	315	598	115	271	29	9	266	74	-6	+0	-2	+3	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1609	1431	304	51	7	41	139	458	24	7	0	212	293	344	637	131	280	28	9	276	80	-36	+1	-5	+29	+35	2.4
/ 162G	—	A+C		—	650	578	124	21	3	17	56	185	10	3	0	215	295	349	645	135	282	28	9	276	80	-15	+1	-2	+12	+14	1.0
Career	—	MLE		—	3367	2997	640	107	14	79	292	970	52	11	8	214	295	338	632	124	286	29	9	287	80	-73	-1	-10	+58	+70	4.3
/ 162G	—	MLE		—	650	579	124	21	3	15	56	187	10	2	2	214	295	339	633	124	287	29	9	287	80	-15	-0	-2	+12	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#4Sandy 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
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.4	1,609	40	5	215	292	345	+29	+16	3.6	3.4
/162	664	17	2	+11.9	+6.6	1.5	pk7: 3

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)	23	—	—	—	—	205/285/322	117	279	3	1	30%	8%	74	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andrew Susac 2013 · A	23	42→38	43→50	45→30	45	204/279/315	111	288	11	4	31%	9%	70	-0.9	217/292/358	141	289	16	3	29%	9%	84	+0.2	217/296/371	154	282	18	1	28%	9%	86	+0.1
✕Abrahan Gutierrez 2023 · A	23	47→43	42→45	45→40	45	224/297/329	105	313	9	4	30%	8%	79	-0.2	215/274/302	87	280	7	5	24%	6%	64	-1.3	222/258/285	63	282	4	2	22%	4%	50	-0.5
✕Alex Isola 2021 · A	23	46→45	45→50	49→40	44	227/279/349	122	287	12	8	25%	6%	76	-0.4	217/284/360	143	275	18	4	27%	8%	82	-0.0	214/284/354	140	266	19	2	26%	8%	78	-0.2
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Nick Hutchins 2019 · A	23	43	46→50	47→40	39	213/270/346	132	296	12	3	31%	6%	73	-0.6	208/250/308	100	294	8	5	31%	4%	56	-1.9	195/224/282	86	275	7	4	31%	2%	36	-1.6
✕Bryan Holaday 2011 · A	23	42	42→45	47→40	42	201/282/303	102	295	9	5	33%	8%	69	-0.9	209/262/295	86	270	7	6	24%	5%	58	-1.7	220/288/344	124	255	13	2	19%	7%	76	-0.1
✕Aaron McKeithan 2023 · A	23	45	40	45→40	44	215/292/306	91	293	8	4	28%	7%	73	-0.6	217/295/297	80	271	8	4	22%	7%	72	-0.7	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	206/280/300	94	283	7	6	28%	6%	67	-1.1	205/276/339	134	277	16	4	31%	6%	74	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Dustin Garneau 2011 · A	23	45→39	41→50	47→45	44	218/280/324	106	288	8	6	26%	7%	72	-0.7	198/268/331	133	235	13	5	21%	8%	70	-0.9	171/262/344	173	215	21	1	31%	8%	70	-0.3
✕Tyler Rahmatulla 2013 · A	23	43	45→55	44→45	44	213/271/347	134	268	11	4	25%	6%	74	-0.6	202/267/296	94	265	7	7	25%	7%	60	-1.6	139/223/161	21	184	0	9	22%	8%	11	-1.1
✕Miguel Amaya 2022 · AA	23	43→41	43→50	50→40	50	212/304/325	114	273	10	7	25%	9%	82	-0.0	224/309/361	137	297	15	5	28%	8%	92	+0.7	229/300/373	144	272	16	1	22%	7%	90	+0.2
✕Riley Adams 2019 · A	23	44→42	39→50	49→40	44	205/284/297	92	310	5	5	33%	8%	68	-1.0	211/300/341	130	322	13	5	35%	8%	84	+0.2	209/297/371	162	301	16	0	33%	8%	88	+0.2
✕John Hester 2007 · A	23	42	44→55	50	41	204/270/328	124	296	10	7	33%	7%	69	-0.9	226/267/364	138	298	13	7	28%	5%	76	-0.4	249/292/412	163	320	14	10	26%	5%	94	+0.5
✕Chris Denove 2006 · A	23	44	40	46→40	46	211/286/303	92	280	7	5	26%	8%	70	-0.9	200/259/270	70	271	4	4	26%	6%	51	-2.2	245/303/334	88	297	6	3	18%	6%	79	-0.1
✕Tyler Marlette 2016 · AA	23	46→43	46→50	47→45	41	231/272/363	132	290	14	7	26%	5%	77	-0.3	221/266/351	130	289	15	5	28%	6%	72	-0.7	215/264/340	125	281	15	4	28%	6%	66	-0.8
✕Robbie Glendinning 2019 · A	23	48→44	41→50	43→45	42	230/282/327	97	323	8	7	30%	7%	72	-0.7	232/287/365	133	365	14	9	37%	7%	83	+0.1	215/293/355	140	345	16	7	39%	9%	81	-0.0
✕Scott Manea 2019 · A	23	43→42	46→45	46→30	43	218/292/349	131	266	13	3	23%	6%	83	+0.1	212/292/340	128	277	15	3	28%	7%	81	-0.1	189/280/292	103	266	12	0	31%	8%	63	-0.7
✕Jaxx Groshans 2022 · A	24	46	47→50	47→30	46	229/293/363	134	302	15	4	28%	8%	85	+0.2	199/268/321	122	290	12	5	33%	8%	67	-1.1	125/209/240	115	181	12	0	37%	9%	24	-1.4
✕Ian Rice 2017 · A	23	43→40	47→50	43→30	48	216/294/353	138	287	15	4	29%	9%	84	+0.2	203/288/334	131	275	15	3	30%	10%	78	-0.3	186/276/303	117	251	14	0	30%	10%	64	-0.7

Career Stats + Projections

Career Comps

Career Path Comps