Kuhio Aloy — OGILVIE

Kuhio AloyOF St. Lucie Mets

Age 22 R/R A H -5% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 98 proj PA

wRC+†79

AVG/OBP/SLG.211 / .286 / .340

PA98

HR2

K%30

BB%8

ISO130

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-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.

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)
2026	21	A	St. Lucie Mets	—	93	76	16	4	0	4	14	23	3	5	0	211	355	421	776	211	245	25	15	351	66	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	St. Lucie Mets	—	93	80	13	3	0	3	10	31	3	5	0	163	280	312	592	150	220	33	11	266	66	—	—	—	—	—	—
2026	21	A MLE	St. Lucie Mets	—	93	80	13	3	0	3	10	31	3	5	0	163	280	312	592	150	217	33	11	266	66	—	—	—	—	—	—
2026	21	A RAW	St. Lucie Mets	—	93	76	16	4	0	4	14	23	3	5	0	211	355	421	776	211	245	25	15	351	66	—	—	—	—	—	—
2026	21	A MLE	St. Lucie Mets	—	93	80	13	3	0	3	10	31	3	5	0	163	280	312	592	150	220	33	11	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	St. Lucie Mets	—	93	80	13	3	0	3	10	31	3	5	0	163	280	312	592	150	220	33	11	266	66	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYM	0%	203	182	39	7	1	5	16	61	3	4	1	213	288	344	632	130	289	30	8	285	79	-5	+0	+0	-1	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYM	34%	187	167	36	7	1	4	15	55	3	4	1	216	291	350	641	134	290	29	8	288	81	-4	+0	+0	-1	+4	-0.1
2029	24	MLB MLE	NYM	46%	297	267	58	11	2	7	24	87	4	6	1	218	293	355	648	137	291	29	8	291	83	-6	+1	+0	-2	+6	-0.0
2030	25	MLB MLE	NYM	52%	364	326	72	14	2	9	30	105	5	8	1	220	295	359	654	139	291	29	8	294	85	-7	+1	+0	-2	+8	0.0
2031	26	MLB MLE	NYM	54%	408	366	80	15	2	10	33	116	6	8	2	221	296	361	658	140	291	28	8	295	86	-7	+1	+0	-2	+9	0.0
2032	27	MLB MLE	NYM	54%	428	384	85	16	2	11	35	121	6	8	2	221	296	361	657	140	290	28	8	295	86	-7	+1	+0	-3	+9	0.0
2033	28	MLB MLE	NYM	54%	437	392	85	16	2	11	36	125	6	7	1	220	294	356	651	137	289	29	8	292	84	-8	+1	-1	-3	+9	-0.1
2034	29	MLB MLE	NYM	53%	435	391	85	16	2	11	35	125	6	5	1	217	291	350	641	133	288	29	8	288	81	-10	+1	-1	-3	+9	-0.4
2035	30	MLB MLE	NYM	52%	431	388	83	16	2	10	35	126	5	4	1	214	288	342	630	128	286	29	8	284	78	-11	+0	-2	-3	+9	-0.6
2028	23	MLB CTX	NYM	34%	64	58	12	2	0	2	5	19	1	1	0	210	285	341	626	131	281	30	8	282	81	-1	+0	+0	-0	+1	-0.0
2029	24	MLB CTX	NYM	46%	137	123	26	5	1	3	11	40	2	3	1	212	288	346	633	134	282	29	8	285	83	-3	+0	+0	-1	+3	-0.0
2030	25	MLB CTX	NYM	52%	188	168	37	7	1	5	15	54	3	4	1	214	289	349	639	136	282	29	8	287	85	-3	+0	+0	-1	+4	-0.0
2031	26	MLB CTX	NYM	54%	221	198	43	8	1	6	18	63	3	4	1	215	290	352	642	137	281	29	8	289	86	-4	+0	+0	-1	+5	0.0
2032	27	MLB CTX	NYM	54%	232	208	44	8	1	6	19	66	3	4	1	215	291	352	642	137	281	28	8	289	86	-4	+0	+0	-1	+5	0.0
2033	28	MLB CTX	NYM	54%	237	213	45	8	1	6	19	68	3	4	1	213	289	347	636	134	280	29	8	286	84	-5	+0	-0	-1	+5	-0.1
2034	29	MLB CTX	NYM	53%	231	207	44	8	1	6	19	67	3	3	1	211	286	341	627	130	278	29	8	282	81	-5	+0	-1	-1	+5	-0.2
2035	30	MLB CTX	NYM	52%	226	203	42	8	1	5	18	66	3	2	0	208	282	333	615	125	276	29	8	278	78	-6	+0	-1	-1	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1536	1378	293	54	7	39	124	443	21	25	6	213	288	347	634	134	281	29	8	285	82	-31	+3	-2	-9	+33	-0.6
/ 162G	—	A+C		—	650	583	125	23	3	17	52	187	9	11	3	214	289	352	640	137	283	29	8	285	82	-13	+1	-1	-4	+14	-0.3
Career	—	MLE		—	3178	2850	616	118	16	78	261	921	45	57	10	216	292	351	643	135	288	29	8	290	82	-62	+6	-4	-19	+67	-1.2
/ 162G	—	MLE		—	650	583	126	24	3	16	53	188	9	12	2	216	291	350	641	134	288	29	8	290	82	-13	+1	-1	-4	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Dustin 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
#3Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#4Nick 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
#5Dylan Carlsonlast yr '25 career totals — 6 seasons, 1,987 PA	3.0	1,987	43	16	233	312	372	-9	-22	0.8	0.8
/162	664	14	5	-3.0	-7.4	0.3	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.5	1,635	40	28	219	291	356	-10	+0	0.6	0.6
/162	664	16	11	-4.0	+0.0	0.2	pk7: 1
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0

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
Kuhio Aloy (OGILVIE)	22	—	—	—	—	211/286/340	129	289	2	2	30%	8%	79	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daz Cameron 2018 · A	21	42→48	45→50	53→55	40	206/268/336	130	291	12	19	32%	6%	70	-0.8	209/279/335	126	306	11	17	33%	7%	74	-0.5	227/297/394	166	289	18	26	27%	8%	92	+0.3
✕Brian McFall 2006 · A	22	39→44	46→55	51→50	36	195/262/318	123	289	14	12	36%	5%	65	-1.2	203/263/356	153	280	18	9	33%	6%	74	-0.6	207/271/356	148	277	17	8	30%	6%	74	-0.4
✕Patrick Leonard 2015 · A	22	43→49	45	53→50	41	212/271/333	122	294	12	8	31%	6%	70	-0.8	222/281/340	118	321	10	10	32%	6%	76	-0.4	220/278/334	114	315	10	11	32%	6%	70	-0.7
✕Carlos Guzman 2008 · A	22	39→48	43→50	53→50	44	193/274/305	112	280	11	9	33%	8%	66	-1.1	225/272/334	109	314	11	8	30%	6%	70	-0.8	237/289/332	96	308	9	3	25%	6%	75	-0.3
✕Alexander Canario 2022 · A	22	37→36	50→60	50	36	195/243/346	150	282	18	14	37%	6%	63	-1.4	213/276/401	188	298	24	14	35%	7%	89	+0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Anderson Gomes 2007 · A	22	42→41	42→45	47→50	39	209/259/317	108	286	10	9	30%	5%	62	-1.4	224/276/336	112	302	11	7	28%	6%	72	-0.7	229/283/339	110	302	11	5	27%	7%	75	-0.2
✕Felix Reyes 2022 · A	21	41→51	43→50	49→45	38	204/270/315	111	285	10	12	31%	5%	66	-1.1	200/240/310	110	252	12	7	26%	4%	53	-2.1	241/269/392	150	282	18	8	21%	3%	81	-0.0
✕Brooks Baldwin 2024 · A	23	41→51	47→50	53→50	42	209/266/337	128	277	15	15	30%	7%	70	-0.9	246/296/387	141	308	16	15	25%	6%	92	+0.7	258/307/403	145	316	17	16	23%	6%	98	+0.9
✕Brandon Sizemore 2010 · A	23	42	46→50	54→50	38	208/268/342	134	288	13	12	31%	5%	72	-0.7	201/248/314	113	272	11	7	29%	5%	57	-1.8	169/206/275	106	214	13	3	28%	4%	31	-1.3
✕Walking Cabrera 2022 · A	21	40→37	45	53→45	44	204/264/328	124	266	13	13	28%	7%	67	-1.1	198/252/302	104	295	10	8	34%	6%	56	-1.9	189/242/289	101	282	10	6	35%	6%	48	-1.5
✕Kevonte Mitchell 2018 · A	22	41→38	45	53→50	39	206/258/327	121	283	12	14	31%	6%	63	-1.3	186/242/300	114	276	13	9	36%	6%	52	-2.2	160/220/266	106	238	13	6	37%	6%	35	-2.0
✕Alex Glenn 2013 · A	22	39→42	48→55	53→50	39	198/264/339	141	300	15	10	38%	7%	70	-0.9	213/268/361	148	284	15	11	29%	6%	76	-0.4	210/261/367	156	270	16	12	28%	6%	72	-0.5
✕Sandro Fabian 2021 · A	23	41→48	45→55	46→45	39	207/265/323	116	281	13	6	30%	6%	66	-1.1	230/270/389	159	266	20	4	22%	4%	84	+0.1	234/282/398	164	262	19	4	19%	5%	87	+0.3
✕Stuart Fairchild 2019 · A	23	44→43	40→50	53→55	40	211/273/310	98	303	7	14	31%	6%	65	-1.2	218/286/346	128	290	12	10	27%	7%	79	-0.2	222/308/380	158	297	16	16	29%	8%	94	+0.5
✕Jase Bowen 2023 · A	22	39→42	44→50	55	35	195/250/303	109	296	12	14	37%	5%	56	-1.9	203/253/327	124	287	14	19	33%	5%	62	-1.4	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Jacob Heyward 2019 · A	23	41→40	45	44→50	44	202/275/323	121	289	13	10	33%	8%	70	-0.8	194/286/320	126	294	14	9	36%	10%	74	-0.5	165/261/285	120	256	15	5	39%	10%	55	-1.2
✕Conner Capel 2018 · A	21	39→48	47→45	49→55	42	203/257/343	140	262	14	11	28%	6%	68	-1.0	215/268/332	117	289	11	11	28%	6%	69	-0.9	226/297/349	123	283	12	19	23%	8%	80	-0.1
●Kody Hinze 2009 · A	22	42→46	45→50	45→30	46	210/278/334	124	276	13	4	28%	8%	74	-0.6	209/281/341	132	290	15	2	31%	8%	76	-0.4	217/293/367	150	289	19	1	30%	9%	84	+0.1
✕Eudy Pina 2014 · A	23	38→47	44→45	52→55	40	192/259/316	124	275	10	12	33%	7%	62	-1.4	224/270/327	103	312	8	9	29%	5%	68	-1.0	233/272/321	88	320	6	8	28%	4%	64	-0.9
✕Travis Blankenhorn 2019 · A	22	40→45	44→50	50	38	198/259/324	126	291	11	7	34%	6%	64	-1.3	217/266/355	138	298	15	9	31%	5%	74	-0.6	208/282/359	151	278	18	6	31%	8%	78	-0.2

Career Stats + Projections

Career Comps

Career Path Comps