Yeferson Portolatin

Yeferson PortolatinSS FCL Cardinals

Age 18 S/R 5'10" / 170 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION131 act + 12 ros · stats below = ROS only

showingROS

wRC+†83

AVG/OBP/SLG.100 / .250 / .100

PA12

HR0

K%25

BB%17

BABIP267

ISO95

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$56M ctrl surplus

Tools · ContractCON 35 / POW 30

Toolsscout grade

CONTACT35

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2032
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	+1.2	$6M	+$6M
2033	Pre-Arb	$1.0M	+1.3	$6M	+$6M
2034	Pre-Arb	$1.0M	+1.3	$6M	+$5M
2035	Arb-1	$6M	+1.3	$5M	+$3M
2036	Arb-2	$9M	+1.2	$4M	+$1M
2037	Arb-3	$12M	+1.0	$3M	+$0.0M (cut)
Totals		$17M		$31M	+$21M

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)
2025	17	ROK	DSL Cardinals	—	174	115	26	9	1	2	51	31	7	23	4	226	486	374	859	148	289	18	29	406	161	+13	+3	—	—	+4	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cardinals	—	174	135	22	7	1	2	31	46	7	23	4	163	347	274	621	111	216	26	18	281	76	-5	+3	—	—	+4	0.2
2025	17	ROK MLE	DSL Cardinals	—	174	135	22	7	1	2	31	46	7	23	4	163	347	274	621	111	227	26	18	281	76	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cardinals	—	174	115	26	9	1	2	51	31	7	23	4	226	486	374	859	148	289	18	29	406	76	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	174	134	22	7	1	2	31	46	7	23	4	164	347	276	623	112	216	26	18	281	76	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Cardinals	—	174	134	22	7	1	2	31	46	7	23	4	164	347	276	623	112	216	26	18	281	76	—	—	—	—	—	—
YTD	18	ROK MLE	STL	—	131	104	20	4	1	2	24	30	3	11	5	192	359	308	666	115	250	23	18	303	91	-1	+0	+0	+1	+3	0.3
▸ 2026 season
YTD	18	ROK RAW	STL	—	131	89	24	6	1	2	39	21	3	11	5	270	504	427	931	157	333	16	30	431	91	—	—	—	—	—	—
ROS	18	ROK MLE	STL	0%	12	10	1	0	0	0	2	3	0	0	0	100	250	100	350		268	25	17	290	83	-0	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	STL	—	143	114	21	4	1	2	26	33	3	11	5	184	350	289	639	105	241	23	18	302	90	-2	+0	+0	+2	+3	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	STL	34%	232	196	40	8	1	3	30	56	4	6	2	204	322	301	623	97	273	24	13	298	88	-3	+0	+0	+2	+5	0.5
2028	20	MLB MLE	STL	48%	363	308	66	13	2	6	46	86	6	9	3	214	328	328	656	114	276	24	13	305	92	-3	+1	+0	+4	+8	0.9
2029	21	MLB MLE	STL	54%	460	392	86	17	3	9	57	108	8	12	3	219	330	347	677	128	278	23	12	309	95	-3	+1	+0	+5	+10	1.4
2030	22	MLB MLE	STL	57%	529	449	99	20	3	10	66	123	9	13	4	220	332	345	677	125	279	23	12	312	97	-2	+1	+0	+6	+11	1.7
2031	23	MLB MLE	STL	58%	576	489	110	22	4	12	72	133	10	14	4	225	336	360	696	135	279	23	12	314	99	-1	+1	+0	+6	+12	1.9
2032	24	MLB MLE	STL	57%	607	516	115	23	4	12	76	140	10	15	4	223	334	353	687	130	280	23	13	315	100	-0	+1	+0	+7	+13	2.1
2033	25	MLB MLE	STL	57%	624	530	120	24	4	13	78	143	11	15	4	226	338	360	698	134	280	23	12	316	100	+0	+1	+0	+7	+14	2.2
2034	26	MLB MLE	STL	57%	632	537	120	24	4	13	79	145	11	16	4	223	335	356	691	132	280	23	12	316	100	+0	+2	+0	+7	+14	2.3
2035	27	MLB MLE	STL	55%	633	537	120	24	4	13	80	146	11	16	4	223	336	356	692	132	280	23	13	316	100	+0	+2	+0	+7	+14	2.3
2036	28	MLB MLE	STL	55%	629	533	120	24	4	13	80	146	11	15	4	225	338	358	696	133	280	23	13	316	100	-0	+1	-1	+7	+14	2.1
2037	29	MLB MLE	STL	53%	619	524	116	23	4	12	79	145	11	14	4	221	336	349	685	128	279	23	13	314	99	-1	+1	-1	+7	+13	1.9
2038	30	MLB MLE	STL	57%	608	515	112	22	3	12	78	144	10	14	4	217	332	342	673	124	278	24	13	311	97	-2	+1	-2	+7	+13	1.7
2039	31	MLB MLE	STL	60%	594	503	109	22	3	11	76	142	10	13	3	217	331	338	669	121	276	24	13	307	94	-4	+1	-3	+6	+13	1.4
2040	32	MLB MLE	STL	61%	576	487	103	20	3	10	74	140	10	12	3	211	327	326	654	115	273	24	13	302	91	-6	+1	-4	+6	+12	1.0
2041	33	MLB MLE	STL	62%	546	462	96	18	3	9	70	136	9	11	3	208	323	318	642	110	269	25	13	296	86	-9	+1	-4	+6	+12	0.6
2042	34	MLB MLE	STL	58%	499	425	86	16	3	8	63	127	8	9	3	202	317	311	627	108	263	25	13	288	81	-11	+1	-5	+5	+11	0.0
2027	19	MLB CTX	STL	34%	80	69	15	3	1	1	10	19	1	2	1	217	325	333	658	116	272	24	12	284	88	-1	+0	+0	+1	+2	0.1
2028	20	MLB CTX	STL	48%	176	149	33	7	1	3	22	42	3	5	1	221	333	342	676	121	275	24	12	290	92	-2	+1	+0	+2	+4	0.5
2029	21	MLB CTX	STL	54%	249	212	46	9	2	4	31	58	4	6	2	217	328	335	663	118	277	23	12	294	95	-1	+0	+0	+3	+5	0.7
2030	22	MLB CTX	STL	57%	299	255	55	11	2	5	37	69	5	7	2	216	327	333	660	118	278	23	12	296	97	-1	+1	+0	+3	+6	1.0
2031	23	MLB CTX	STL	58%	332	282	63	13	2	6	41	77	6	8	2	223	334	348	682	124	279	23	12	298	99	-1	+1	+0	+4	+7	1.1
2032	24	MLB CTX	STL	57%	346	294	66	13	2	7	43	80	6	9	2	224	335	354	689	129	279	23	12	300	100	-0	+1	+0	+4	+7	1.2
2033	25	MLB CTX	STL	57%	354	301	67	13	2	7	44	81	6	9	2	223	333	349	682	126	279	23	12	300	100	+0	+1	+0	+4	+8	1.3
2034	26	MLB CTX	STL	57%	358	304	68	14	2	7	45	82	6	9	2	224	335	352	687	128	279	23	13	300	100	+0	+1	+0	+4	+8	1.3
2035	27	MLB CTX	STL	55%	351	298	66	13	2	7	44	81	6	9	2	221	333	349	682	128	279	23	13	300	100	+0	+1	+0	+4	+8	1.3
2036	28	MLB CTX	STL	55%	345	292	65	13	2	7	44	80	6	8	2	223	336	353	689	130	279	23	13	300	100	-0	+1	-0	+4	+7	1.2
2037	29	MLB CTX	STL	53%	331	280	61	12	2	6	42	77	6	8	2	218	332	339	672	121	278	23	13	298	99	-1	+1	-1	+4	+7	1.0
2038	30	MLB CTX	STL	57%	347	294	64	13	2	6	44	82	6	8	2	218	331	337	668	119	277	24	13	296	97	-1	+1	-1	+4	+8	1.0
2039	31	MLB CTX	STL	60%	354	300	64	13	2	6	45	85	6	8	2	213	328	330	658	117	275	24	13	292	94	-2	+1	-2	+4	+8	0.8
2040	32	MLB CTX	STL	61%	353	299	63	12	2	6	45	86	6	7	2	211	326	324	650	114	272	24	13	287	91	-4	+1	-2	+4	+8	0.6
2041	33	MLB CTX	STL	62%	341	289	59	11	2	5	43	85	6	7	2	204	320	308	627	104	268	25	13	281	86	-6	+1	-3	+4	+7	0.4
2042	34	MLB CTX	STL	58%	289	245	49	9	2	4	37	74	5	5	1	200	317	302	619	102	263	26	13	273	81	-7	+1	-3	+3	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4905	4163	904	179	30	87	617	1158	84	115	29	217	330	337	667	120	278	24	13	294	95	-26	+11	-12	+53	+106	13.5
/ 162G	—	A+C		—	650	552	121	24	4	12	82	153	11	15	4	219	332	342	674	123	279	24	13	294	95	-3	+2	-2	+7	+14	1.8
Career	—	MLE		—	8913	7548	1641	327	53	168	1137	2109	156	227	60	217	332	342	673	124	277	24	13	309	95	-47	+18	-20	+94	+189	24.0
/ 162G	—	MLE		—	650	550	120	24	4	12	83	154	11	17	4	218	332	342	674	124	279	24	13	309	95	-3	+1	-1	+7	+14	1.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jason Castrolast yr '22 career totals — 12 seasons, 3,381 PA	5.1	3,381	97	6	227	312	387	+60	+77	22.5	21.6
/162	664	19	1	+11.9	+15.1	4.4	pk7: 21
#2Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
#3Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#4John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.6	5,051	96	118	219	328	344	+52	+30	17.2	13.6
/162	664	13	16	+6.8	+3.9	2.3	pk7: 10
#5Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#6Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12

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
Yeferson Portolatin (OGILVIE)	18	35	30	60	60	201/319/299	98	268	2	6	25%	13%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Angel Genao 2022 · A	18	45→55	37→45	59→50	55	210/300/285	75	272	4	16	22%	11%	70	-0.8	230/288/322	92	306	6	11	25%	7%	74	-0.6	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Enmanuel Tejeda 2023 · A	18	45→37	40	52→60	57	212/316/313	100	269	5	12	21%	12%	83	+0.1	225/310/312	87	311	7	23	27%	10%	80	-0.1	226/313/303	78	310	7	32	27%	10%	77	-0.1
✕Jaison Chourio 2023 · A	18	47→51	38→40	54→55	58	220/315/307	86	277	4	15	20%	12%	81	-0.1	224/315/307	83	317	4	21	27%	12%	81	-0.1	223/313/312	89	304	7	28	26%	11%	80	-0.1
✕Leo Rivas 2016 · A	18	44→54	37→40	52→65	44	204/291/284	80	291	3	16	28%	8%	68	-1.0	208/298/282	74	292	3	17	27%	10%	69	-0.9	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Chris Torres 2016 · A	18	43→37	37→30	50→55	50	200/288/273	73	290	4	15	30%	10%	63	-1.3	203/274/273	70	315	3	13	33%	9%	57	-1.8	181/262/239	58	298	3	15	36%	10%	42	-1.3
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Victor Acosta 2022 · A	18	44→43	42→40	55→50	46	211/298/321	110	292	8	20	28%	8%	78	-0.3	192/276/278	86	281	5	12	31%	8%	61	-1.5	177/263/251	74	256	4	13	29%	7%	47	-1.3
✕Jim Caceres 2019 · A	18	43	40→45	55	48	207/277/305	97	255	6	14	21%	7%	65	-1.2	196/263/271	75	271	4	10	27%	7%	53	-2.1	124/200/139	15	187	0	10	30%	7%	-1	-1.0
✕Jeremy Arocho 2018 · A	19	43→45	38→30	53→60	41	203/260/286	83	285	4	12	29%	6%	55	-2.0	223/283/291	68	291	2	11	22%	7%	64	-1.3	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Alvaro Montero 2018 · A	18	48	35→30	52→60	54	219/315/281	62	294	3	16	24%	11%	76	-0.4	215/296/270	55	306	2	18	27%	9%	65	-1.2	232/319/263	31	312	0	30	23%	9%	71	-0.4
✕Kelvin Alarcon 2017 · A	18	47	34→30	51→55	58	211/319/262	51	303	2	14	27%	13%	73	-0.6	204/290/262	58	296	3	9	29%	10%	61	-1.5	203/265/239	35	320	0	8	34%	8%	43	-0.6
✕Luis Barahona 2012 · A	18	46	36→30	53→50	48	216/284/286	70	285	3	14	24%	8%	64	-1.3	206/260/268	62	282	2	13	26%	6%	50	-2.3	200/252/254	54	273	0	16	25%	6%	41	-1.1
✕Carlos Willoughby 2008 · A	19	48→44	36→40	53→60	49	225/302/290	65	279	3	17	19%	7%	72	-0.7	231/314/298	67	298	2	28	21%	9%	78	-0.3	235/320/307	72	303	1	35	20%	9%	80	-0.0
✕Emmanuel Morel 2016 · A	19	45	35→30	53→55	49	207/286/270	62	293	2	17	28%	9%	61	-1.5	187/257/246	59	306	2	15	36%	8%	45	-2.7	139/207/173	34	251	0	17	41%	7%	8	-1.1
✕Jodaneli Carvajal 2010 · A	18	43	38→30	62→55	43	207/259/290	83	274	4	20	25%	6%	55	-1.9	213/265/278	65	273	2	17	21%	6%	54	-2.0	213/263/269	56	268	2	18	20%	5%	49	-0.8
✕Miguel Tamares 2023 · A	18	39	39→40	56→60	50	186/287/273	87	280	6	24	32%	11%	64	-1.3	179/270/249	70	298	4	19	37%	10%	52	-2.2	131/245/158	27	239	0	24	39%	11%	22	-1.1
✕Juan Matheus 2023 · A	19	42→46	42→45	51→55	53	197/305/310	112	291	8	16	32%	12%	79	-0.2	210/302/306	96	297	6	20	28%	11%	76	-0.4	217/288/319	102	277	9	23	24%	8%	72	-0.5
✕Luis Arcendo 2018 · A	18	44	36→30	54→50	46	209/274/278	69	274	3	13	24%	7%	58	-1.7	196/257/259	63	280	3	13	29%	7%	47	-2.5	115/183/136	21	170	0	19	30%	8%	-8	-1.2
✕Jorge Minyety 2010 · A	19	46	35→30	50	55	208/299/269	61	275	1	14	22%	11%	67	-1.1	215/285/280	65	301	2	9	27%	9%	63	-1.4	224/291/259	35	315	0	4	26%	9%	56	-0.4
✕Olvy Marte 2013 · A	18	46	36→40	49→55	44	213/288/277	65	286	3	18	25%	7%	64	-1.3	220/281/292	72	293	2	16	24%	6%	64	-1.3	224/283/295	71	296	1	19	23%	6%	63	-0.5

Career Stats + Projections

Career Comps

Career Path Comps