Luis Caicuto — OGILVIE

Luis CaicutoC Jersey Shore BlueClaws

Age 23 R/R 5'10" / 160 lbs A+ HR +11%H +4% Svc 0.0 · Ctrl thru 2035 peak 1.4 · 2030

wRC+†94

AVG/OBP/SLG.224 / .296 / .329

PA104

HR2

K%24

BB%7

MLB%0%

Scouting · now → future

HIT

48↗53

PWR

28↗33

SPD

44↗49

EYE

40↗45

trajectory · 10 yrs

1.5peak

2030

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	Arb-2	$0.9M	+1.4	$13M	+$12M
2031	Arb-3	$0.9M	+1.4	$13M	+$12M
2032	Ext / FA-deal	$0.9M	+1.3	$12M	+$11M
2033	Ext / FA-deal	$2M	+1.1	$11M	+$9M
2034	Ext / FA-deal	$3M	+0.9	$5M	+$2M
2035	Ext / FA-deal	$2M	+0.6	$3M	+$0.7M
Totals		$10M		$57M	+$46M

Career Projections (MLE)

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	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
2022	19	ROK	ACL D-backs Red	106	95	28	3	1	1	6	19	3	2	2	.295	.356	.379	.735	.084	.360	18	6	.306	92	-1	-0	+0	+2	+3	0.4
2023	20	ROK	ACL D-backs Black	27	21	2	1	0	0	4	10	1	0	0	.095	.269	.143	.412	.048	.167	37	15	.184	-1	-3	+0	+0	+0	+1	-0.2
2024	21	A	3 teams	345	311	56	13	0	0	21	79	11	4	1	.180	.257	.222	.478	.042	.239	23	6	.227	32	-26	+0	+0	+6	+10	-1.0
2025	22	A+	Jersey Shore BlueClaws	89	81	21	2	0	0	3	21	4	1	0	.259	.318	.284	.602	.025	.350	24	3	.271	66	-3	+0	+0	+2	+3	0.1
▸ 2026 Season (actual · ROS · total)
2026	23	A+	Jersey Shore BlueClaws	29	24	5	2	0	2	4	4	0	0	0	.208	.321	.542	.863	.333	.158	14	14	.364	137	+1	+0	+0	+1	+1	0.3
ROS	23	MLB	PHI	75	68	15	3	0	1	5	18	2	1	0	.221	.293	.309	.602	.088	.288	24	7	.286	77	-2	+0	+0	+1	+2	0.2
TOT	23	MLB	PHI	104	92	20	5	0	3	9	22	2	1	0	.217	.301	.370	.671	.152	.250	21	9	.308	94	-1	+0	+0	+2	+3	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	PHI	182	162	37	7	1	3	14	43	4	3	1	.228	.306	.340	.645	.111	.290	24	8	.295	84	-3	+0	+0	+3	+5	0.5
2028	25	MLB 25%	PHI	278	248	58	11	1	6	22	65	6	5	1	.234	.312	.359	.670	.125	.291	23	8	.301	88	-4	+1	+0	+5	+8	1.0
2029	26	MLB 43%	PHI	344	306	72	13	2	7	28	80	7	6	2	.235	.314	.359	.673	.124	.291	23	8	.303	90	-4	+0	+0	+6	+10	1.3
2030	27	MLB 58%	PHI	379	338	80	15	2	8	31	89	7	7	2	.237	.314	.364	.678	.127	.291	23	8	.304	91	-4	+1	+0	+7	+11	1.4
2031	28	MLB 68%	PHI	398	354	83	15	2	9	33	94	8	7	1	.234	.314	.364	.678	.130	.291	24	8	.303	90	-4	+1	-1	+7	+11	1.4
2032	29	MLB 77%	PHI	403	359	83	15	2	8	33	96	8	7	1	.231	.310	.351	.661	.120	.291	24	8	.301	88	-5	+1	-1	+7	+11	1.3
2033	30	MLB 84%	PHI	403	359	82	15	2	8	33	98	8	6	1	.228	.307	.348	.656	.120	.289	24	8	.298	86	-6	+1	-2	+7	+11	1.1
2034	31	MLB 91%	PHI	383	341	77	14	2	7	32	94	7	5	0	.226	.305	.340	.645	.114	.288	25	8	.294	83	-7	+1	-3	+7	+11	0.9
2035	32	MLB	PHI	357	317	71	13	1	7	30	90	7	5	0	.224	.305	.338	.643	.114	.287	25	8	.290	80	-8	+1	-4	+6	+10	0.6
2036	33	MLB	PHI	320	285	62	11	1	6	26	83	6	4	0	.218	.297	.326	.623	.109	.286	26	8	.284	76	-9	+1	-4	+6	+9	0.3
2037	34	MLB	PHI	273	244	51	9	1	4	22	73	5	4	0	.209	.288	.303	.591	.094	.284	27	8	.278	71	-9	+1	-5	+5	+8	-0.0
2038	35	MLB	PHI	219	195	41	7	1	3	18	61	4	3	0	.210	.290	.303	.593	.092	.282	28	8	.271	66	-8	+1	-6	+4	+6	-0.3
2039	36	MLB	PHI	165	148	30	5	1	2	13	47	3	2	0	.203	.280	.291	.571	.088	.280	28	8	.263	59	-8	+0	-6	+3	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			4746	4232	949	172	20	80	374	1160	101	72	12	.224	.303	.331	.634	.107	.288	24	8	.288	78	-116	+10	-31	+85	+134	8.3
/ 162G	—			650	580	131	24	3	11	51	159	14	10	2	.226	.304	.334	.638	.109	.291	24	8	.288	78	-16	+1	-4	+12	+18	1.1

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2022	19	ROK	ACL D-backs Red	106	91	32	4	1	1	10	13	3	2	2	.352	.433	.451	.883	.099	.403	12	9	.392	158	+7	-0	—	—	+3	1.0
2023	20	ROK	ACL D-backs Black	27	19	2	1	0	0	6	7	1	0	0	.105	.346	.158	.504	.053	.154	26	22	.263	60	-1	+0	—	—	+1	-0.0
2024	21	A+	Jersey Shore BlueClaws	113	97	18	0	0	0	10	21	5	0	1	.186	.292	.186	.478	.000	.237	19	9	.238	41	-8	-0	—	—	+3	-0.5
2024	21	A	Clearwater Threshers	143	123	30	10	0	0	12	22	6	2	0	.244	.338	.325	.663	.081	.294	15	8	.306	92	-1	+0	—	—	+4	0.3
2024	21	INTL	Adelaide Giants	89	71	18	4	1	0	17	13	0	2	0	.254	.398	.338	.736	.085	.305	15	19	.341	119	+2	+0	—	—	+3	0.5
2025	22	A+	Jersey Shore BlueClaws	89	77	23	3	0	0	5	16	4	1	0	.299	.364	.338	.701	.039	.377	18	6	.319	102	+0	+0	—	—	+3	0.3

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
Luis Caicuto (OGILVIE)	23	48→53	28→33	44→49	45	.224/.296/.329	.105	.288	2	2	24%	7%	77	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Justin Miller 2012 · A	23	50→53	40→45	50	44	.237/.297/.334	.097	.312	7	8	25%	7%	77	+0.1	.241/.299/.348	.107	.320	11	14	26%	7%	82	+0.5	.241/.302/.344	.103	.319	11	16	26%	7%	79	+0.2
●Eduardo Valencia 2023 · A	23	44→54	42→50	49→30	45	.215/.282/.315	.100	.276	10	5	25%	7%	67	-0.5	.222/.280/.345	.123	.283	14	4	26%	7%	73	-0.1	.250/.305/.416	.166	.304	22	0	25%	6%	100	+1.0
✕Austin Martin 2022 · AA	23	50	40	51→60	51	.232/.340/.330	.098	.317	7	14	26%	10%	96	+1.5	.224/.319/.308	.084	.281	6	25	21%	9%	82	+0.5	.251/.338/.332	.081	.305	5	25	18%	10%	92	+0.6
✕P.J. Higgins 2016 · A	23	44→54	41→45	54→40	42	.215/.265/.321	.106	.286	8	8	27%	6%	59	-1.1	.230/.300/.300	.070	.287	3	4	19%	8%	69	-0.4	.241/.304/.366	.126	.307	13	3	24%	8%	87	+0.5
✕Eric Fryer 2009 · A	23	51→59	44→45	51→50	43	.246/.297/.369	.123	.309	11	10	24%	6%	86	+0.8	.238/.302/.351	.113	.306	9	10	24%	7%	84	+0.6	.235/.309/.346	.111	.303	9	10	24%	8%	82	+0.3
✕Michael Garciaparra 2006 · A	23	52	41→40	45	45	.248/.315/.347	.099	.313	8	10	23%	7%	89	+0.9	.248/.315/.329	.081	.317	7	9	22%	7%	84	+0.6	.253/.319/.323	.070	.324	6	8	22%	7%	81	+0.2
✕A.J. Jimenez 2013 · AA	23	52→58	40→45	48→50	42	.250/.290/.352	.101	.309	7	12	21%	5%	79	+0.3	.236/.273/.331	.095	.290	6	6	20%	5%	66	-0.6	.230/.265/.319	.088	.282	5	3	20%	4%	57	-0.5
✕Tyler Smith 2014 · A	23	48→53	39→40	50	44	.229/.288/.321	.092	.288	5	11	21%	6%	70	-0.3	.236/.300/.329	.093	.303	6	9	23%	8%	77	+0.1	.238/.298/.325	.087	.302	6	8	22%	7%	71	-0.2
✕Steve Tolleson 2007 · A	23	46→53	42→45	45→50	52	.225/.301/.333	.108	.270	9	9	20%	9%	79	+0.3	.242/.311/.344	.102	.308	8	14	22%	9%	85	+0.7	.254/.312/.373	.119	.302	10	12	19%	7%	90	+0.8
✕Andy Paz 2017 · AA	24	48	38→40	51→45	46	.226/.282/.305	.078	.295	6	7	24%	7%	63	-0.8	.220/.267/.287	.067	.294	4	8	25%	6%	52	-1.6	.191/.231/.209	.018	.263	0	7	26%	5%	13	-1.4
✕Leo Jiménez 2023 · A	22	47→49	40→45	48→45	51	.222/.330/.318	.096	.290	7	9	24%	9%	90	+1.0	.229/.317/.341	.112	.289	10	7	23%	7%	89	+1.0	.230/.322/.343	.112	.289	11	5	22%	7%	88	+0.5
✕Shawn Zarraga 2012 · A	23	49	39→40	50→45	45	.233/.296/.316	.083	.301	6	9	24%	6%	72	-0.2	.249/.309/.343	.094	.297	6	7	17%	6%	85	+0.7	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Paul Vasquez 2008 · A	23	47	43→45	52→30	39	.231/.271/.342	.111	.307	10	9	28%	5%	68	-0.5	.234/.273/.339	.105	.293	8	5	22%	3%	68	-0.5	.235/.269/.339	.104	.292	8	2	22%	2%	63	-0.3
✕Roy Morales 2018 · A	23	49	36→30	49→45	49	.231/.294/.298	.066	.270	4	8	16%	6%	66	-0.6	.229/.291/.300	.071	.281	4	10	19%	7%	66	-0.6	.267/.331/.325	.058	.319	4	8	16%	7%	86	+0.3
✕David Adams 2010 · A	23	48→56	42→45	46→40	47	.231/.295/.349	.118	.289	7	8	22%	7%	80	+0.4	.253/.313/.378	.125	.316	8	8	21%	7%	95	+1.4	.282/.343/.413	.131	.344	10	6	20%	7%	115	+1.0
●Jake Elmore 2010 · A	23	47→57	39→40	46→55	52	.223/.296/.312	.088	.270	5	10	18%	9%	71	-0.3	.245/.314/.321	.076	.297	3	17	17%	9%	81	+0.4	.266/.337/.349	.083	.314	3	23	15%	9%	95	+1.0
✕Paco Figueroa 2006 · A	23	51→58	37→40	49→55	49	.238/.307/.317	.079	.298	4	11	20%	8%	77	+0.1	.250/.306/.327	.077	.303	4	16	18%	6%	79	+0.3	.262/.320/.344	.082	.316	2	19	17%	7%	84	+0.4
✕Marty Costes 2019 · A	23	47→57	42→45	52→50	46	.224/.305/.337	.112	.272	8	11	20%	6%	82	+0.5	.229/.308/.337	.108	.278	10	10	20%	8%	84	+0.6	.241/.330/.348	.107	.313	8	16	23%	9%	93	+0.6
✕James Tomlin 2006 · AA	23	51→61	41→40	47→50	45	.248/.288/.351	.103	.290	8	12	18%	5%	77	+0.1	.250/.287/.345	.095	.295	5	12	16%	5%	75	-0.0	.267/.318/.352	.085	.327	2	16	18%	6%	86	+0.6
✕Joel Capote 2013 · A	23	51	41→45	45→50	50	.242/.310/.350	.108	.290	7	9	19%	8%	87	+0.8	.213/.273/.291	.078	.272	4	10	22%	6%	56	-1.3	.189/.247/.247	.058	.245	2	12	22%	5%	30	-1.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)