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

OGV OFP35OGV rank#1708ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	A+/A2 orgs	138	.250/.387/.312	1	2	57	—	.204/.314/.255
2026	23	A+/ROKLAD	112	.244/.376/.478	6	0	76	—	.188/.285/.333
2027PROJMLE	24	MLBLAD	200	.213/.287/.325	4	1	74	0.1
2028PROJ30% MLB	25	MLBLAD	33	.212/.287/.329	1	0	77	0.0
2029PROJ44% MLB	26	MLBLAD	73	.214/.289/.335	2	0	79	0.1

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$0.9M2033Ext$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 A+

Z-Con%72

BB%71

ISO69

Chase%66

wOBA61

wRC+59

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsAndrew Susac (age 24) · Dusty Brown (age 24) · Jaxx Groshans (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 63 proj PA

wRC+†74

AVG/OBP/SLG.211 / .285 / .322

PA63

HR1

K%29

BB%8

ISO112

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	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.6M	+$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. 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 1-3 WAR low.

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	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	LAD	30%	108	96	22	4	1	2	9	31	2	0	0	216	290	333	623	117	289	29	8	282	77	-3	+0	+0	+2	+2	0.1
2029	26	MLB MLE	LAD	44%	166	150	33	6	1	4	13	47	2	1	0	218	292	339	631	122	289	28	8	285	79	-4	+0	+0	+3	+4	0.3
2030	27	MLB MLE	LAD	49%	210	188	41	7	1	5	17	59	3	1	0	218	292	340	632	122	289	28	8	285	79	-5	+0	+0	+4	+5	0.3
2031	28	MLB MLE	LAD	52%	242	217	47	8	1	5	20	68	3	1	1	218	292	339	630	121	288	28	8	285	79	-6	-0	-1	+4	+5	0.3
2032	29	MLB MLE	LAD	51%	258	232	51	9	1	6	21	73	3	1	1	217	290	336	626	119	286	28	8	283	78	-7	-0	-1	+5	+6	0.2
2028	25	MLB CTX	LAD	30%	33	30	6	1	0	1	3	9	0	0	0	212	287	329	616	116	283	27	9	279	77	-1	+0	+0	+1	+1	0.0
2029	26	MLB CTX	LAD	44%	73	66	14	2	0	2	6	21	1	0	0	214	289	335	624	121	283	29	8	282	79	-2	+0	+0	+1	+2	0.1
2030	27	MLB CTX	LAD	49%	103	93	19	3	0	2	8	29	1	0	0	215	289	336	625	121	282	28	8	283	79	-3	+0	+0	+2	+2	0.2
2031	28	MLB CTX	LAD	52%	125	112	24	4	0	3	10	35	2	0	0	214	288	335	623	120	282	28	8	282	79	-3	+0	-0	+2	+3	0.1
2032	29	MLB CTX	LAD	51%	133	119	26	4	1	3	11	37	2	0	0	213	287	332	619	119	280	28	8	280	78	-4	+0	-1	+2	+3	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	467	420	89	14	1	11	38	131	6	0	0	212	287	329	615	117	278	28	8	281	76	-12	+0	-1	+8	+10	0.6
/ 162G	—	A+C		—	650	585	123	19	1	15	53	182	8	0	0	210	285	323	608	113	276	28	8	281	76	-17	+0	-2	+12	+14	0.8
Career	—	MLE		—	1297	1153	247	41	5	29	110	382	22	6	3	214	295	334	629	120	291	29	8	280	76	-27	+0	-2	+19	+23	1.2
/ 162G	—	MLE		—	650	578	125	21	3	15	55	191	11	3	2	216	297	341	637	125	293	29	8	280	76	-17	+0	-1	+12	+14	0.8

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 A+Great Lakes Loons · 85 PAwOBA .341 → .276 (−66)K% 25.9% → 32.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.88%	÷1.000	×1.270	—	—	32.87%
BB% (unintentional) /PA	14.12%	÷1.000	×0.710	—	×0.998	10.00%
HBP% /PA	2.35%	—	×0.790	—	×0.998	1.86%
Singles /BIP	23.91%	÷1.000	×0.920	×0.952	×0.998	20.90%
Doubles /BIP	2.17%	÷1.000	×0.810	×0.952	×0.998	1.67%
Triples /BIP	0.00%	÷1.000	×0.850	×0.952	×0.998	0.00%
Home runs /BIP	8.70%	÷1.000	×0.800	—	×0.998	6.94%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .341 → .276; ISO .191 → .155; BABIP .279 → .237. 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 Dodgers · 27 PAwOBA .435 → .297 (−138)K% 22.2% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.000	×1.440	—	—	32.00%
BB% (unintentional) /PA	14.81%	÷1.000	×0.620	—	×0.965	8.86%
HBP% /PA	3.70%	—	×0.720	—	×0.965	2.57%
Singles /BIP	12.50%	÷1.000	×0.820	—	×0.965	9.89%
Doubles /BIP	12.50%	÷1.000	×0.720	—	×0.965	8.69%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Home runs /BIP	12.50%	÷1.000	×0.780	—	×0.965	9.41%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .435 → .297; ISO .364 → .256; BABIP .286 → .205. 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 ARancho Cucamonga Quakes · 110 PAwOBA .348 → .269 (−79)K% 28.2% → 38.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.18%	÷0.987	×1.360	—	—	38.83%
BB% (unintentional) /PA	15.45%	÷0.981	×0.690	—	—	10.87%
HBP% /PA	3.64%	—	×0.780	—	—	2.84%
Singles /BIP	33.33%	÷1.004	×0.920	×1.005	—	30.70%
Doubles /BIP	7.02%	÷1.054	×0.830	×1.005	—	5.56%
Triples /BIP	0.00%	÷1.150	×0.910	×1.005	—	0.00%
Home runs /BIP	1.75%	÷1.055	×0.800	—	—	1.33%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .348 → .269; ISO .080 → .057; BABIP .411 → .367. 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 A+Great Lakes Loons · 28 PAwOBA .225 → .187 (−38)K% 17.9% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷0.980	×1.270	—	—	23.14%
BB% (unintentional) /PA	10.71%	÷1.023	×0.710	—	×1.012	7.53%
HBP% /PA	3.57%	—	×0.790	—	×1.012	2.86%
Singles /BIP	21.05%	÷1.000	×0.920	—	×1.012	19.61%
Doubles /BIP	0.00%	÷0.927	×0.810	—	×1.012	0.00%
Triples /BIP	0.00%	÷1.150	×0.850	—	×1.012	0.00%
Home runs /BIP	0.00%	÷0.992	×0.800	—	×1.012	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 98, 1B 100, 2B 85, 3B 130, K 96, BB 105 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .225 → .187; ISO .000 → .000; BABIP .211 → .196. 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
#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
#4Chris Widger'95-'06 * career totals — 8 seasons, 1,998 PA	3.0	1,998	55	10	227*	283*	381*	+33	-0	3.6	4.1
/162	664	18	3	+11.1	-0.2	1.2	pk7: 5
#5Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
#6Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.7	467	10	1	218	289	339	+8	+8	1.0	1.0
/162	664	14	2	+11.9	+11.4	1.4	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	1	0	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
✕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
✕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
✕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
✕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
✕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
✕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
✕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
✕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
✕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
✕Pedro Pagés 2023 · AAA	24	41→44	44→50	44→40	41	203/267/315	112	297	12	4	34%	7%	65	-1.2	222/283/354	132	288	15	4	27%	7%	80	-0.2	224/283/361	136	280	17	2	26%	7%	81	-0.0
✕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
✕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
✕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
✕Kole Cottam 2021 · A	24	43	43→45	45→30	42	206/278/321	114	310	10	4	34%	8%	70	-0.8	215/281/334	119	347	10	3	38%	7%	75	-0.5	209/277/326	118	341	10	0	39%	7%	68	-0.5
✕Zack Short 2019 · AA	24	40→39	47→50	47→45	51	202/293/345	143	270	14	9	29%	11%	82	+0.0	198/291/335	137	280	14	7	32%	10%	79	-0.2	177/277/302	125	240	14	9	31%	11%	66	-0.8
✕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

How the minor-league lines were translated

Career Comps

Career Path Comps