Luis Pino — OGILVIE

Luis PinoCF Peoria Chiefs

Age 22 R/R 5'11" / 175 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION253 act + 9 ros · stats below = ROS only

showingROS

wRC+†45

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP245

ISO98

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 25 / POW 35

Toolsscout grade

CONTACT25

scouting grade only

POWER35

scouting grade only

EYE50

scouting grade only

SPEED45

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	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
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		$-2M	+$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)
2021	17	ROK	DSL Cardinals Blue	—	174	146	36	7	0	6	17	52	10	1	2	247	364	418	782	171	337	30	10	353	125	+5	-1	—	—	+4	0.9
2022	18	ROK	FCL Cardinals	—	112	97	21	5	0	3	12	35	3	4	2	216	321	361	682	144	305	31	11	313	98	-0	+0	—	—	+2	0.2
2023	19	ROK	FCL Cardinals	—	100	78	16	5	0	2	14	31	7	5	0	205	374	346	720	141	304	31	14	336	114	+2	+1	—	—	+2	0.5
2024	20	A	Palm Beach Cardinals	—	58	54	10	2	0	1	3	23	0	0	0	185	224	278	502	93	300	40	5	225	39	-4	+0	—	—	+1	-0.3
2024	20	ROK	FCL Cardinals	—	90	72	24	7	0	3	12	22	4	3	1	333	455	556	1.010	222	429	24	13	436	181	+9	+0	—	—	+2	1.1
2025	21	A	Palm Beach Cardinals	—	413	345	69	16	2	9	54	129	12	7	2	200	328	336	665	136	287	31	13	308	94	-3	+1	—	—	+9	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Cardinals Blue	—	174	153	25	4	0	4	10	72	10	1	2	163	260	268	528	105	259	41	6	237	47	-11	-1	—	—	+4	-0.8
2022	18	ROK MLE	FCL Cardinals	—	112	101	14	3	0	2	8	50	3	4	2	139	223	228	451	89	232	45	7	193	17	-11	+0	—	—	+2	-0.9
2023	19	ROK MLE	FCL Cardinals	—	100	83	11	3	0	1	9	45	7	5	0	133	273	205	478	72	240	45	9	225	38	-7	+1	—	—	+2	-0.4
2024	20	A MLE	Palm Beach Cardinals	—	58	56	6	1	0	1	2	34	0	0	0	107	138	179	317	71	261	59	3	140	-19	-8	+0	—	—	+1	-0.7
2024	20	ROK MLE	FCL Cardinals	—	90	77	18	5	0	2	7	31	4	3	1	234	330	377	706	143	332	34	8	314	99	-0	+0	—	—	+2	0.2
2025	21	A MLE	Palm Beach Cardinals	—	413	359	53	14	1	7	40	183	12	7	2	148	255	251	506	103	261	44	10	232	43	-28	+1	—	—	+9	-1.9
2021	17	ROK MLE	DSL Cardinals Blue	—	174	153	25	4	0	4	10	72	10	1	2	163	260	268	528	105	269	41	6	237	47	—	—	—	—	—	—
2021	17	ROK RAW	DSL Cardinals Blue	—	174	146	36	7	0	6	17	52	10	1	2	247	364	418	782	171	337	30	10	353	47	—	—	—	—	—	—
2022	18	ROK MLE	FCL Cardinals	—	112	101	14	3	0	2	8	50	3	4	2	139	223	228	451	89	245	45	7	193	17	—	—	—	—	—	—
2022	18	ROK RAW	FCL Cardinals	—	112	97	21	5	0	3	12	35	3	4	2	216	321	361	682	144	305	31	11	313	17	—	—	—	—	—	—
2023	19	ROK MLE	FCL Cardinals	—	100	83	11	3	0	1	9	45	7	5	0	133	273	205	478	72	263	45	9	225	38	—	—	—	—	—	—
2023	19	ROK RAW	FCL Cardinals	—	100	78	16	5	0	2	14	31	7	5	0	205	374	346	720	141	304	31	14	336	38	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	148	133	25	6	0	3	9	65	4	3	1	188	260	301	561	113	328	44	6	246	53	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	148	126	34	9	0	4	15	45	4	3	1	270	363	437	800	167	380	30	10	353	53	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	413	359	53	14	1	7	40	183	12	7	2	148	255	251	506	103	269	44	10	232	43	—	—	—	—	—	—
2025	21	A RAW	Palm Beach Cardinals	—	413	345	69	16	2	9	54	129	12	7	2	200	328	336	665	136	287	31	13	308	43	—	—	—	—	—	—
2021	17	ROK MLE	DSL Cardinals Blue	—	174	152	25	4	0	4	10	72	10	1	2	164	260	270	530	105	259	41	6	237	47	—	—	—	—	—	—
2022	18	ROK MLE	FCL Cardinals	—	112	100	14	3	0	2	8	50	3	4	2	140	223	230	453	90	232	45	7	193	17	—	—	—	—	—	—
2023	19	ROK MLE	FCL Cardinals	—	100	84	11	3	0	1	9	45	7	5	0	131	273	202	475	71	240	45	9	225	38	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	148	134	25	6	0	3	9	65	4	3	1	187	260	299	559	112	304	44	6	246	53	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	413	358	53	14	1	7	40	183	12	7	2	148	255	251	507	103	261	44	10	232	43	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Cardinals	—	100	84	11	3	0	1	9	45	7	5	0	131	273	202	475	71	240	45	9	225	38	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	148	134	25	6	0	3	9	65	4	3	1	187	260	299	559	112	304	44	6	246	53	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	413	358	53	14	1	7	40	183	12	7	2	148	255	251	507	103	261	44	10	232	43	—	—	—	—	—	—
YTD	22	A+ MLE	STL	—	253	225	38	11	1	3	23	95	3	8	3	169	255	267	522	98	271	38	9	233	44	-17	+0	+0	+1	+5	-1.0
▸ 2026 season
YTD	22	A RAW	STL	—	64	56	11	3	0	0	4	24	2	2	2	196	270	250	520	54	333	38	6	240	44	—	—	—	—	—	—
YTD	22	A+ RAW	STL	—	165	139	34	11	1	4	24	39	1	6	1	245	360	424	784	180	309	24	15	350	44	—	—	—	—	—	—
YTD	22	AA RAW	STL	—	24	20	2	0	0	0	4	7	0	0	0	100	250	100	350		154	29	17	192	44	—	—	—	—	—	—
ROS	22	A+ MLE	STL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		246	33	11	235	45	-1	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	STL	—	262	233	39	11	1	3	24	98	3	8	3	167	254	262	516	94	269	37	9	233	44	-17	+0	+0	+1	+6	-1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	STL	35%	454	402	66	16	1	9	41	164	8	7	2	164	255	276	531	112	250	36	9	247	53	-25	+1	+0	+2	+10	-1.3
2028	24	MLB MLE	STL	46%	490	433	76	18	2	10	45	170	9	8	2	176	267	296	563	120	254	35	9	257	60	-23	+1	+0	+2	+11	-1.0
2029	25	MLB MLE	STL	52%	529	466	84	19	2	12	49	180	9	8	2	180	271	307	578	127	257	34	9	262	64	-23	+1	+0	+2	+11	-0.9
2030	26	MLB MLE	STL	54%	542	478	86	20	2	12	50	182	9	8	3	180	270	305	575	126	258	34	9	265	65	-22	+0	+0	+2	+12	-0.8
2031	27	MLB MLE	STL	54%	544	479	86	20	2	12	51	183	9	8	3	180	271	305	576	125	258	34	9	265	65	-22	+0	+0	+2	+12	-0.8
2027	23	MLB CTX	STL	35%	157	139	23	6	0	3	14	57	3	2	1	165	256	273	530	108	249	36	9	231	53	-9	+0	+0	+1	+3	-0.5
2028	24	MLB CTX	STL	46%	227	200	34	8	1	4	21	79	4	4	1	170	262	280	542	110	253	35	9	241	60	-11	+0	+0	+1	+5	-0.5
2029	25	MLB CTX	STL	52%	273	241	43	10	1	6	25	93	5	4	1	178	269	303	572	124	256	34	9	246	64	-12	+0	+0	+1	+6	-0.5
2030	26	MLB CTX	STL	54%	294	260	46	11	1	6	27	99	5	5	1	177	267	296	563	119	257	34	9	249	65	-12	+1	+0	+1	+6	-0.4
2031	27	MLB CTX	STL	54%	295	260	46	11	1	6	28	99	5	5	1	177	270	296	566	119	257	34	9	249	65	-12	+1	+0	+1	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1246	1100	192	46	4	25	115	427	22	20	5	175	266	292	558	117	256	34	9	244	56	-56	+2	+0	+4	+27	-2.3
/ 162G	—	A+C		—	650	574	100	24	2	13	60	223	11	10	3	174	265	291	556	117	255	34	9	244	56	-29	+1	+0	+2	+14	-1.2
Career	—	MLE		—	3515	3095	527	123	10	72	313	1297	80	59	19	170	264	286	550	116	261	37	9	251	56	-117	+3	+0	+9	+56	-5.0
/ 162G	—	MLE		—	650	572	98	23	2	13	58	240	15	11	4	171	265	287	552	115	263	37	9	251	56	-30	+1	+0	+2	+14	-1.3

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
#2J.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
#3Adam 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
#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 2 projected seasons	1.9	1,248	27	19	178	266	302	+4	+5	-1.4	-0.7
/162	664	14	10	+2.4	+2.7	-0.7	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
Luis Pino (OGILVIE)	22	25	35	45	50	154/246/252	98	246	5	6	38%	9%	45	-1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	187/275/268	81	281	6	3	33%	9%	58	-1.7	189/257/267	78	337	4	5	41%	7%	50	-2.3	169/224/243	75	318	2	4	44%	5%	29	-1.2
✕Caleb Hamilton 2018 · A	23	35	42→45	44→45	46	175/265/284	109	271	9	5	36%	10%	58	-1.7	184/252/283	99	266	8	7	31%	8%	52	-2.2	141/235/256	115	206	16	3	39%	10%	39	-1.0
✕Daniel Berg 2007 · A	22	37	42→40	44→40	41	186/254/294	107	267	9	4	32%	7%	55	-1.9	194/262/277	83	296	6	4	34%	7%	55	-2.0	187/259/259	72	291	5	2	35%	7%	46	-1.3
✕Joe DeCarlo 2016 · A	22	36→38	42→50	44→30	43	178/268/281	103	279	10	3	37%	9%	59	-1.7	196/278/333	137	279	16	3	34%	8%	74	-0.5	193/274/341	148	264	18	1	32%	8%	71	-0.5
✕Will Banfield 2022 · A	22	32→37	40→45	48→30	34	164/217/255	91	263	8	4	40%	6%	32	-3.7	193/231/313	120	266	14	3	32%	4%	51	-2.3	193/233/284	91	269	10	0	31%	4%	42	-1.5
✕Fabian Pertuz 2023 · A	22	37→34	40	49→55	33	186/229/277	91	285	8	9	37%	4%	41	-3.0	175/226/265	90	273	8	12	37%	5%	38	-3.2	148/203/228	80	231	8	13	38%	5%	19	-2.4
✕Ignacio Valdez 2017 · A	22	31	46→45	45→50	36	168/230/294	126	256	14	4	39%	6%	47	-2.6	177/237/286	109	323	11	4	45%	7%	47	-2.5	130/158/192	62	251	4	0	48%	3%	-8	-1.2
✕Dyron Campos 2023 · A	22	37	43→30	47→50	38	188/239/294	106	269	11	7	33%	6%	49	-2.4	181/238/276	95	290	9	9	39%	5%	45	-2.7	121/181/199	78	199	8	13	42%	4%	5	-1.8
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Kevin Padlo 2018 · A	22	36→40	45→50	44→50	47	182/268/311	128	259	12	8	33%	10%	65	-1.2	195/278/338	143	287	14	9	35%	9%	75	-0.5	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Blake Hunt 2022 · AA	23	35	43→45	49→40	39	180/241/289	109	274	11	4	37%	7%	49	-2.4	201/257/318	117	274	12	4	30%	6%	62	-1.4	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/262/267	82	249	8	7	28%	9%	53	-2.1	202/263/289	87	282	6	8	29%	7%	57	-1.8	190/245/265	75	263	4	7	28%	7%	42	-0.7
✕Aaron Bracho 2023 · A	22	29→37	42→45	44→40	37	157/224/253	96	253	10	4	40%	7%	35	-3.4	193/255/314	121	256	14	5	30%	7%	61	-1.5	189/251/313	124	237	16	4	27%	7%	57	-1.0
✕Brock Carpenter 2018 · A	23	37	41→40	48→30	42	183/257/279	96	281	10	6	36%	8%	53	-2.1	199/261/302	103	329	8	6	39%	7%	59	-1.6	183/243/303	120	312	8	3	41%	7%	49	-0.8
✕Rudy van Heydoorn 2010 · A	21	33	41→45	40→50	41	166/249/256	90	260	9	8	37%	8%	46	-2.6	199/274/309	110	312	10	5	36%	8%	67	-1.1	204/303/338	134	292	14	2	32%	11%	85	+0.1
✕Alex Lavisky 2013 · A	22	37	44→45	46→30	35	188/234/296	108	279	12	3	36%	5%	48	-2.5	203/248/298	95	269	10	3	27%	5%	53	-2.1	195/239/272	77	244	8	1	23%	4%	42	-1.0
✕Edison Sanchez 2013 · A	22	37	40→45	45	39	179/248/272	93	284	7	3	37%	7%	48	-2.5	197/262/288	91	332	7	4	40%	6%	57	-1.8	191/259/274	83	332	7	3	41%	6%	50	-1.0

Career Stats + Projections

Career Comps

Career Path Comps