Stanley Consuegra

Stanley ConsuegraOF Brooklyn Cyclones

Age 25 R/R 6'3" / 167 lbs A+ H -5% Svc 0.0 · Ctrl thru 2035

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 258 proj PA

wRC+†48

AVG/OBP/SLG.175 / .235 / .289

PA22

HR0

K%35

BB%6

ISO115

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 20 / POW 37

Toolsscout grade

CONTACT20

scouting grade only

POWER37

scouting grade only

EYE42

scouting grade only

SPEED48

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 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)
2018	17	ROK	GCL Mets	—	275	241	51	13	4	4	26	46	6	9	4	212	304	349	653	137	244	17	9	295	86	-5	+0	—	—	+6	0.2
2021	20	ROK	FCL Mets	—	83	74	20	9	1	2	4	21	3	3	3	270	333	500	833	230	340	25	5	356	127	+3	-1	—	—	+2	0.4
2022	21	A+	Brooklyn Cyclones	—	249	226	54	13	2	5	18	62	5	4	2	239	309	381	690	142	308	25	7	311	96	-1	+0	—	—	+5	0.4
2022	21	A	St. Lucie Mets	—	287	255	64	14	4	8	26	77	3	8	8	251	327	431	759	180	324	27	9	334	112	+4	-2	—	—	+6	0.9
2022	21	INTL	Peoria Javelinas	—	41	36	6	2	0	2	3	12	1	0	0	167	250	389	639	222	174	29	7	277	74	-1	+0	—	—	+1	-0.0
2023	22	A+	Brooklyn Cyclones	—	394	358	83	15	4	23	29	109	4	6	2	232	297	489	786	257	262	28	7	340	116	+8	+0	—	—	+9	1.7
2024	23	AA	Binghamton Rumble Ponies	—	221	204	41	10	1	3	12	63	5	4	2	201	262	304	566	103	275	29	5	259	61	-10	+0	—	—	+5	-0.6
2024	23	A+	Brooklyn Cyclones	—	252	215	49	12	0	7	30	84	6	6	3	228	339	381	720	153	336	33	12	327	108	+2	+0	—	—	+5	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	GCL Mets	—	275	251	38	9	3	3	16	66	6	9	4	151	220	247	467	96	180	24	6	201	22	-25	+0	—	—	+6	-2.0
2021	20	ROK MLE	FCL Mets	—	83	75	14	6	1	1	3	30	3	3	3	187	247	333	580	147	250	36	4	242	50	-5	-1	—	—	+2	-0.4
2022	21	A+ MLE	Brooklyn Cyclones	—	249	232	42	9	2	4	12	83	5	4	2	181	237	289	526	108	256	33	5	226	39	-18	+0	—	—	+5	-1.3
2022	21	A MLE	St. Lucie Mets	—	287	263	47	11	3	6	18	114	3	8	8	179	239	312	551	133	277	40	6	245	52	-16	-2	—	—	+6	-1.2
2023	22	A+ MLE	Brooklyn Cyclones	—	394	367	66	11	3	16	20	143	4	6	2	180	230	357	587	177	230	36	5	251	56	-21	+0	—	—	+9	-1.2
2024	23	AA MLE	Binghamton Rumble Ponies	—	221	208	36	8	1	3	8	73	5	4	2	173	222	264	486	91	249	33	4	212	30	-19	+0	—	—	+5	-1.4
2024	23	A+ MLE	Brooklyn Cyclones	—	252	225	34	8	0	4	20	114	6	6	3	151	239	240	479	89	276	45	8	217	33	-20	+0	—	—	+5	-1.5
2018	17	ROK MLE	GCL Mets	—	275	251	38	9	3	3	16	66	6	9	4	151	220	247	467	96	190	24	6	201	22	—	—	—	—	—	—
2018	17	ROK RAW	GCL Mets	—	275	241	51	13	4	4	26	46	6	9	4	212	304	349	653	137	244	17	9	295	22	—	—	—	—	—	—
2021	20	ROK MLE	FCL Mets	—	83	75	14	6	1	1	3	30	3	3	3	187	247	333	580	147	283	36	4	242	50	—	—	—	—	—	—
2021	20	ROK RAW	FCL Mets	—	83	74	20	9	1	2	4	21	3	3	3	270	333	500	833	230	340	25	5	356	50	—	—	—	—	—	—
2022	21	A MLE	3 teams	—	577	532	96	22	5	11	32	212	9	12	10	180	239	303	542	122	272	37	6	236	46	—	—	—	—	—	—
2022	21	A RAW	3 teams	—	577	517	124	29	6	15	47	151	9	12	10	240	314	406	720	166	307	26	8	320	46	—	—	—	—	—	—
2023	22	A+ MLE	Brooklyn Cyclones	—	394	367	66	11	3	16	20	143	4	6	2	180	230	357	587	177	237	36	5	251	56	—	—	—	—	—	—
2023	22	A+ RAW	Brooklyn Cyclones	—	394	358	83	15	4	23	29	109	4	6	2	232	297	489	786	257	262	28	7	340	56	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	473	433	70	17	1	6	28	187	11	10	5	162	231	247	478	85	266	40	6	215	31	—	—	—	—	—	—
2024	23	A+ RAW	2 teams	—	473	419	90	22	1	10	42	147	11	10	5	215	303	344	647	129	304	31	9	295	31	—	—	—	—	—	—
2018	17	ROK MLE	GCL Mets	—	275	251	38	9	3	3	16	66	6	9	4	151	220	247	467	96	180	24	6	201	22	—	—	—	—	—	—
2021	20	ROK MLE	FCL Mets	—	83	77	14	6	1	1	3	30	3	3	3	182	247	325	572	143	250	36	4	242	50	—	—	—	—	—	—
2022	21	A MLE	3 teams	—	577	531	96	22	5	11	32	212	9	12	10	181	239	303	542	122	267	37	6	236	46	—	—	—	—	—	—
2023	22	A+ MLE	Brooklyn Cyclones	—	394	367	66	11	3	16	20	143	4	6	2	180	230	357	587	177	230	36	5	251	56	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	473	431	70	17	1	6	28	187	11	10	5	162	231	248	479	86	263	40	6	215	31	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A+ MLE	Brooklyn Cyclones	—	394	367	66	11	3	16	20	143	4	6	2	180	230	357	587	177	230	36	5	251	56	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	473	431	70	17	1	6	28	187	11	10	5	162	231	248	479	86	263	40	6	215	31	—	—	—	—	—	—
▸ 2026 season
2026	25	MLB MLE	NYM	0%	22	21	3	1	0	0	1	8	0	0	0	143	182	190	372	48	254	36	5	239	48	-1	+0	+0	-0	+0	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	NYM	30%	282	259	47	10	1	6	17	95	4	4	2	181	243	297	540	116	258	34	6	248	54	-15	+0	+0	-2	+6	-1.1
2028	27	MLB MLE	NYM	42%	333	304	57	12	1	8	21	109	5	5	2	188	252	312	564	125	261	33	6	254	58	-17	+0	+0	-2	+7	-1.1
2027	26	MLB CTX	NYM	30%	85	79	14	3	0	2	5	29	1	1	0	177	235	291	526	114	251	34	6	234	54	-5	+0	+0	-1	+2	-0.3
2028	27	MLB CTX	NYM	42%	139	127	24	5	1	3	9	46	2	2	1	189	254	315	569	126	254	33	6	240	58	-7	+0	+0	-1	+3	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	224	206	38	8	1	5	14	75	3	3	1	184	247	306	552	121	260	33	6	237	45	-12	+0	+0	-1	+5	-0.8
/ 162G	—	A+C		—	650	598	111	23	3	15	41	218	9	9	3	186	249	309	558	124	261	34	6	237	45	-33	+1	+0	-4	+14	-2.3
Career	—	MLE		—	2439	2242	391	88	15	51	138	850	42	49	28	174	236	295	531	121	251	35	6	235	45	-33	+0	+0	-4	+14	-2.4
/ 162G	—	MLE		—	650	597	104	23	4	14	37	227	11	13	7	174	236	296	532	122	250	35	6	235	45	-34	+0	+0	-4	+14	-2.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.3	226	5	3	187	248	310	-1	+0	-0.7	-0.3
/162	664	15	10	-4.0	+0.0	-1.9	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Stanley Consuegra (OGILVIE)	25	20	37	48	42	175/235/289	114	254	6	4	35%	6%	48	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Toby Welk 2022 · AA	25	38→34	43→45	48→45	42	194/260/306	112	266	11	9	30%	7%	61	-1.5	205/263/313	108	295	10	7	32%	7%	63	-1.4	195/242/310	115	279	11	0	33%	5%	53	-0.6
✕Dylan Rosa 2021 · AA	25	38→30	44→45	50→45	36	193/247/304	111	290	12	9	36%	6%	55	-2.0	192/247/322	130	336	15	8	45%	6%	59	-1.6	160/217/294	135	287	17	6	48%	5%	39	-1.1
✕Jack Conley 2022 · AAA	25	35	41→45	50→45	39	175/237/270	95	265	8	7	36%	7%	43	-2.8	201/267/311	110	285	10	8	31%	7%	64	-1.3	188/261/294	106	261	9	5	30%	7%	54	-1.0
✕Connor Kaiser 2022 · AA	25	37	43→45	47→50	44	189/257/298	109	258	11	5	31%	8%	57	-1.8	192/267/306	114	292	12	14	36%	9%	63	-1.3	172/260/273	101	275	11	16	38%	10%	51	-1.1
✕Jonathan Engelmann 2022 · AA	25	38	43→45	47→45	41	191/260/298	107	275	11	9	33%	7%	59	-1.7	197/262/325	128	287	13	9	34%	7%	66	-1.1	146/213/292	147	198	17	9	36%	6%	37	-0.8
✕Ismael Alcantara 2023 · AA	24	38→29	45	50	37	194/252/314	121	284	13	12	35%	6%	59	-1.6	211/268/301	90	318	8	17	34%	6%	61	-1.5	217/275/286	69	332	7	24	34%	6%	57	-1.1
✕Marty Bechina 2022 · AAA	25	35	45	48→45	31	180/229/304	123	289	13	8	41%	4%	48	-2.5	194/266/310	116	313	12	9	39%	7%	64	-1.3	173/260/278	104	284	10	8	39%	8%	51	-1.5
✕Jordan Betts 2017 · AA	25	35→28	40→45	46→40	35	176/222/267	91	273	7	4	37%	5%	36	-3.3	194/242/306	112	292	12	4	36%	6%	53	-2.1	187/235/301	114	276	14	3	37%	5%	48	-1.6
✕Grae Kessinger 2023 · AA	25	35→31	44→45	49→50	44	183/254/292	109	241	13	18	30%	8%	55	-1.9	205/280/316	111	277	12	12	28%	9%	70	-0.8	179/261/273	93	244	9	8	29%	9%	52	-0.9
✕Raoul Torrez 2013 · AA	25	38	42→40	48→45	38	187/252/285	97	277	10	6	34%	6%	53	-2.1	194/251/282	88	328	8	9	40%	6%	51	-2.2	161/217/228	66	311	6	9	47%	5%	24	-1.5
✕Gunnar Heidt 2018 · AA	25	39→41	42→45	47→50	39	194/249/297	103	281	10	12	34%	6%	54	-2.0	198/251/298	100	305	9	13	36%	6%	55	-2.0	203/255/298	95	293	7	9	31%	6%	54	-1.3
✕Dexter Kjerstad 2017 · A	25	39→33	44→45	45	34	198/248/312	115	291	12	9	36%	4%	57	-1.8	193/247/291	98	293	10	6	36%	5%	52	-2.2	157/211/221	64	239	8	0	36%	5%	19	-1.9
✕McCarthy Tatum 2022 · AA	26	34→25	41→50	45→50	35	172/236/266	94	276	10	6	40%	6%	42	-2.9	201/258/317	116	289	11	10	33%	5%	62	-1.4	201/254/329	128	278	11	11	31%	4%	60	-0.5
✕Courtney Hawkins 2019 · AA	25	35→34	44→50	45→50	33	181/226/290	109	282	13	5	40%	5%	43	-2.8	204/251/370	166	281	22	6	35%	5%	72	-0.7	185/230/372	187	233	27	2	34%	5%	63	-1.0
✕Rylan Sandoval 2013 · AA	25	39	42→40	45	36	194/249/295	101	286	9	5	34%	5%	53	-2.1	216/266/303	87	312	6	8	31%	5%	61	-1.5	219/269/292	73	315	5	8	30%	5%	56	-0.8
✕Mike Salvatore 2023 · A	26	32	42→40	49→45	41	168/229/263	95	238	11	5	34%	7%	38	-3.2	192/259/282	90	264	8	8	28%	8%	54	-2.0	175/250/251	77	232	6	7	26%	9%	40	-1.1
✕Jalen Miller 2022 · AA	25	35→43	46→45	47→50	40	189/239/316	127	250	15	12	31%	6%	54	-2.0	207/273/334	127	281	12	15	29%	8%	72	-0.7	195/273/318	122	260	11	20	27%	9%	63	-0.8
✕Nicholas Moresi 2010 · AA	25	38→39	44→45	46→45	34	194/237/313	119	283	11	6	35%	4%	53	-2.1	196/237/291	95	307	7	6	37%	4%	47	-2.5	175/211/246	71	289	2	2	38%	3%	24	-2.3
✕Taylor Sparks 2018 · AA	25	32→39	44→45	46→50	33	172/227/283	111	266	13	6	39%	5%	43	-2.8	182/239/305	123	321	13	7	45%	6%	53	-2.1	157/213/284	127	290	14	5	49%	5%	36	-2.5
✕Blake Forsythe 2014 · AA	25	36→37	44→45	50→30	40	183/247/303	120	276	11	4	36%	7%	55	-2.0	199/253/308	109	309	10	5	36%	6%	57	-1.8	191/246/285	94	301	9	0	38%	7%	47	-1.1

Career Stats + Projections

Career Comps

Career Path Comps