Yeferson Portolatin

SS FCL Cardinals

Age 19 S/R 5'10" / 170 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#664ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKSTL	174	.226/.486/.374	2	23	72	—	.137/.347/.221
2026	18	ROKSTL	131	.270/.504/.427	2	11	93	—	.202/.366/.327
2027PROJMLE	19	MLBSTL	241	.203/.308/.294	2	6	75	0.1
2028PROJ34% MLB	20	MLBSTL	42	.209/.313/.308	0	1	80	0.1
2029PROJ48% MLB	21	MLBSTL	107	.213/.316/.319	1	3	84	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

BB%98

Chase%89

wOBA88

wRC+85

ISO85

Speed84

Career WAR0.0 WAR median (P10 -0.3 / P90 0.9, comp-based) · star 4% · didn't stick 94%

CompsEnmanuel Tejeda (age 19) · Ricardo Ferreira (age 20) · Willmer De La Cruz (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 68 proj PA

wRC+†75

AVG/OBP/SLG.201 / .306 / .291

PA68

HR1

K%25

BB%12

ISO91

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$29M 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 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2036	Arb-1	$3M	+0.6	$1M	+$0.1M
2037	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2038	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$6M		$8M	+$4M

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 = full-season projection (no games played yet). 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)
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	72	—	—	—	—	—	—
2026	18	ROK	FCL Cardinals	—	131	89	24	6	1	2	39	21	3	11	5	270	504	427	931	157	333	16	30	431	93	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cardinals	—	174	131	18	6	1	1	35	39	7	23	4	137	347	221	568	84	180	22	20	274	72	—	—	—	—	—	—
2026	18	ROK MLE	FCL Cardinals	—	131	104	21	5	1	2	24	30	3	11	5	202	366	327	693	125	250	23	18	305	93	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	174	131	18	6	1	1	35	39	7	23	4	137	347	221	568	84	185	22	20	274	72	—	—	—	—	—	—
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	72	—	—	—	—	—	—
2026	18	ROK MLE	FCL Cardinals	—	131	104	21	5	1	2	24	30	3	11	5	202	366	327	693	125	264	23	18	305	93	—	—	—	—	—	—
2026	18	ROK RAW	FCL Cardinals	—	131	89	24	6	1	2	39	21	3	11	5	270	504	427	931	157	333	16	30	431	93	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	174	130	18	6	1	1	35	39	7	23	4	138	347	223	570	85	180	22	20	274	72	—	—	—	—	—	—
2026	18	ROK MLE	FCL Cardinals	—	131	103	21	5	1	2	24	30	3	11	5	204	366	330	697	126	250	23	18	305	93	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Cardinals	—	174	130	18	6	1	1	35	39	7	23	4	138	347	223	570	85	180	22	20	274	72	—	—	—	—	—	—
2026	18	ROK MLE	FCL Cardinals	—	131	103	21	5	1	2	24	30	3	11	5	204	366	330	697	126	250	23	18	305	93	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	STL	0%	241	208	42	8	2	2	28	61	3	6	1	203	308	294	602	91	272	25	12	280	75	-7	+1	+0	+3	+5	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	STL	34%	123	106	22	4	1	2	14	31	2	3	1	208	313	308	621	100	275	25	11	287	80	-3	+0	+0	+1	+3	0.1
2029	21	MLB MLE	STL	48%	220	190	40	8	1	3	25	54	3	6	1	212	316	320	636	108	277	25	11	293	84	-4	+1	+0	+2	+5	0.4
2030	22	MLB MLE	STL	54%	330	284	61	12	2	5	38	80	5	8	2	216	318	330	648	114	278	24	12	297	87	-5	+1	+0	+4	+7	0.7
2031	23	MLB MLE	STL	57%	409	354	77	15	3	7	46	99	6	10	2	219	319	338	657	119	280	24	11	300	89	-5	+1	+0	+4	+9	0.9
2032	24	MLB MLE	STL	57%	460	399	88	17	3	9	51	110	7	11	2	221	321	344	665	123	281	24	11	303	91	-5	+1	+0	+5	+10	1.2
2033	25	MLB MLE	STL	57%	489	424	93	18	3	9	55	117	7	12	3	222	321	345	666	124	281	24	11	303	91	-5	+1	+0	+5	+11	1.2
2034	26	MLB MLE	STL	56%	505	436	97	19	3	10	57	121	7	12	3	221	321	345	666	124	281	24	11	303	91	-5	+1	+0	+5	+11	1.3
2035	27	MLB MLE	STL	60%	510	441	97	19	3	9	57	123	7	12	3	220	320	343	663	122	281	24	11	302	90	-6	+1	+0	+5	+11	1.2
2036	28	MLB MLE	STL	62%	507	438	96	19	3	9	57	123	7	11	3	219	318	338	656	119	280	24	11	299	89	-7	+1	-1	+5	+11	1.0
2037	29	MLB MLE	STL	63%	498	432	94	18	3	9	56	123	7	10	3	216	315	332	647	116	279	25	11	296	86	-8	+1	-1	+5	+11	0.8
2038	30	MLB MLE	STL	63%	486	423	91	18	3	8	54	121	6	10	3	213	312	324	636	111	277	25	11	292	83	-10	+1	-2	+5	+11	0.5
2039	31	MLB MLE	STL	65%	469	409	86	17	3	7	51	119	6	8	3	209	307	315	622	105	274	25	11	286	80	-11	+0	-3	+5	+10	0.1
2040	32	MLB MLE	STL	65%	448	390	79	15	2	6	49	115	6	7	4	204	301	303	604	98	270	26	11	279	75	-13	-0	-4	+5	+10	-0.3
2028	20	MLB CTX	STL	34%	42	36	7	2	0	0	5	10	1	1	0	209	313	308	622	99	277	24	12	287	80	-1	+0	+0	+0	+1	0.1
2029	21	MLB CTX	STL	48%	107	92	19	4	1	1	12	26	2	3	1	213	316	319	636	106	279	24	11	293	84	-2	+0	+0	+1	+2	0.2
2030	22	MLB CTX	STL	54%	179	154	34	7	1	3	20	44	3	5	1	216	318	329	647	112	280	25	11	297	87	-3	+1	+0	+2	+4	0.4
2031	23	MLB CTX	STL	57%	232	201	45	9	2	4	26	56	3	6	1	219	320	336	656	117	282	24	11	300	89	-3	+1	+0	+2	+5	0.5
2032	24	MLB CTX	STL	57%	260	225	50	10	2	4	29	62	4	6	1	222	321	342	663	120	283	24	11	302	91	-3	+1	+0	+3	+6	0.7
2033	25	MLB CTX	STL	57%	276	239	54	11	2	5	31	66	4	7	1	222	321	343	664	121	283	24	11	303	91	-3	+1	+0	+3	+6	0.7
2034	26	MLB CTX	STL	56%	285	247	55	11	2	5	32	68	4	7	2	222	321	343	664	121	283	24	11	303	91	-3	+1	+0	+3	+6	0.7
2035	27	MLB CTX	STL	60%	305	264	58	12	2	5	34	74	4	7	2	221	320	341	661	120	283	24	11	301	90	-3	+1	+0	+3	+7	0.7
2036	28	MLB CTX	STL	62%	313	271	59	12	2	5	35	76	4	7	2	219	318	336	654	117	282	24	11	299	89	-4	+1	-0	+3	+7	0.6
2037	29	MLB CTX	STL	63%	313	271	59	12	2	5	35	77	4	7	2	217	316	330	646	113	281	25	11	296	86	-5	+1	-1	+3	+7	0.5
2038	30	MLB CTX	STL	63%	309	268	58	12	2	5	34	77	4	6	2	214	312	323	635	109	279	25	11	291	83	-6	+0	-1	+3	+7	0.3
2039	31	MLB CTX	STL	65%	305	265	55	11	2	4	33	77	4	5	2	210	308	314	621	104	276	25	11	286	80	-7	+0	-2	+3	+7	0.1
2040	32	MLB CTX	STL	65%	291	253	52	10	2	4	32	75	4	5	3	205	302	302	604	97	273	26	11	279	75	-9	-0	-2	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3217	2786	605	123	22	50	358	788	45	72	20	217	316	331	647	114	282	24	11	296	86	-52	+6	-7	+34	+70	5.3
/ 162G	—	A+C		—	650	563	122	25	4	10	72	159	9	15	4	217	315	329	643	112	282	24	11	296	86	-11	+1	-1	+7	+14	1.1
Career	—	MLE		—	5827	5020	1071	212	35	97	677	1422	87	156	42	213	317	327	645	114	276	24	12	295	86	-89	+11	-10	+59	+120	9.2
/ 162G	—	MLE		—	650	560	120	24	4	11	76	159	10	17	5	214	319	330	650	116	277	24	12	295	86	-11	+1	-1	+7	+14	1.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKFCL Cardinals · 131 PAwOBA .422 → .305 (−118)K% 16.0% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.03%	÷1.000	×1.440	—	—	23.08%
BB% (unintentional) /PA	29.77%	÷1.000	×0.620	—	×1.008	18.60%
HBP% /PA	2.29%	—	×0.720	—	×1.008	1.66%
Singles /BIP	22.06%	÷1.000	×0.820	×0.950	×1.008	17.31%
Doubles /BIP	8.82%	÷1.000	×0.720	×0.950	×1.008	6.08%
Triples /BIP	1.47%	÷1.000	×0.720	×0.950	×1.008	1.01%
Home runs /BIP	2.94%	÷1.000	×0.780	—	×1.008	2.31%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .422 → .305; ISO .157 → .125; BABIP .333 → .250. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Cardinals · 174 PAwOBA .401 → .274 (−127)K% 17.8% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.82%	÷0.961	×1.220	—	—	22.63%
BB% (unintentional) /PA	29.31%	÷1.022	×0.700	—	×1.008	20.23%
HBP% /PA	4.02%	—	×0.700	—	×1.008	2.84%
Singles /BIP	16.67%	÷1.019	×0.680	×0.979	×1.008	10.97%
Doubles /BIP	10.71%	÷0.990	×0.600	×0.979	×1.008	6.40%
Triples /BIP	1.19%	÷1.150	×0.600	×0.979	×1.008	0.61%
Home runs /BIP	2.38%	÷1.047	×0.470	—	×1.008	1.08%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 104, 2B 98, 3B 130, K 92, BB 104 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .401 → .274; ISO .148 → .089; BABIP .289 → .180. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Danny 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
#3Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#5Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.9	3,284	55	73	217	313	332	+35	+24	7.9	6.9
/162	664	11	15	+7.1	+4.9	1.6	pk7: 6
#6Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6

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)	19	35	30	60	60	201/306/291	90	272	1	2	25%	12%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Enmanuel Tejeda 2024 · A	19	45→36	39→40	55→60	56	209/320/298	89	285	6	19	26%	12%	82	-0.0	221/297/305	84	297	7	25	26%	9%	74	-0.6	206/283/289	83	268	8	31	25%	8%	63	-0.7
✕Ricardo Ferreira 2015 · A	20	46	36→30	55→60	54	207/312/275	67	298	3	21	28%	12%	74	-0.6	231/313/303	72	312	3	22	24%	10%	79	-0.2	242/324/311	68	323	3	29	23%	10%	82	+0.0
✕Willmer De La Cruz 2022 · A	19	42	37→30	50→55	54	196/299/271	75	285	4	19	29%	12%	68	-1.0	193/279/256	63	306	3	16	34%	10%	56	-1.9	169/258/209	40	284	1	19	37%	10%	35	-0.7
✕Juan Matheus 2023 · A	19	40→46	40→45	50→55	58	188/306/284	96	264	6	16	28%	14%	74	-0.5	205/300/295	90	282	5	20	26%	11%	74	-0.6	219/288/322	102	278	9	23	23%	8%	72	-0.5
✕Jeremy Arocho 2018 · A	19	43→44	38→30	53→60	41	204/261/287	83	286	4	12	29%	6%	55	-1.9	223/282/290	67	291	2	11	22%	7%	64	-1.3	230/324/274	45	312	0	26	23%	11%	74	-0.3
✕Tyler Rodriguez 2024 · A	18	41	38→40	49→55	55	196/307/275	79	247	6	14	22%	11%	73	-0.6	208/326/276	68	266	5	17	21%	11%	80	-0.1	203/334/262	59	262	5	20	21%	12%	79	-0.1
✕Dario Laverde 2024 · A	19	46→34	37→40	52→30	50	214/292/297	83	279	3	11	23%	9%	70	-0.9	207/268/284	77	295	4	4	29%	7%	57	-1.8	196/254/265	68	282	4	0	30%	6%	45	-1.6
✕Emmanuel Morel 2016 · A	19	42	34→30	52→55	53	193/282/250	57	259	1	17	24%	10%	56	-1.9	182/254/239	57	293	2	15	35%	8%	42	-2.9	139/207/173	34	251	0	17	41%	7%	8	-1.1
✕Hector Osorio 2024 · A	19	44	35→45	51→50	62	200/321/262	62	245	2	15	17%	13%	76	-0.4	216/319/308	92	262	8	12	19%	11%	84	+0.1	223/323/350	127	253	16	10	18%	10%	93	+0.4
✕Welbyn Francisca 2024 · A	18	44→41	39→45	50→55	48	208/283/300	92	277	5	12	25%	8%	68	-1.0	228/294/332	104	296	9	20	24%	8%	78	-0.3	225/294/339	114	289	12	24	25%	9%	78	-0.2
✕Jose Constanza 2007 · A	19	44	34→30	51→60	59	202/309/251	49	278	1	22	25%	13%	67	-1.1	210/314/268	58	275	2	17	21%	13%	72	-0.7	203/332/243	40	254	0	21	17%	16%	73	-0.3
✕Jaison Chourio 2024 · A	19	49→55	36→40	55	55	224/319/299	75	316	2	18	27%	12%	80	-0.1	232/327/322	90	320	6	23	26%	12%	88	+0.5	235/331/328	92	319	6	27	25%	12%	90	+0.4
✕Jorge Minyety 2010 · A	19	44	34→30	50	57	200/297/258	58	260	1	14	21%	12%	63	-1.3	214/284/278	64	299	2	9	27%	9%	62	-1.4	225/293/261	35	317	0	4	26%	9%	58	-0.4
✕Leandro Arias 2024 · A	19	40→45	39→40	53→45	48	194/267/279	85	248	6	14	23%	8%	57	-1.8	205/275/282	77	269	6	8	24%	8%	61	-1.5	203/277/274	71	268	6	8	25%	8%	58	-1.1
✕Victor Rodrigues 2024 · A	19	42	37→30	47→50	51	198/275/273	75	246	5	10	21%	9%	58	-1.7	215/298/280	65	272	5	7	21%	10%	69	-0.9	213/306/263	50	270	4	5	20%	11%	66	-0.5
✕Marco Vargas 2024 · A	19	45→46	37→40	50→60	57	208/302/289	81	267	4	13	22%	12%	72	-0.7	214/295/280	66	304	3	25	27%	10%	67	-1.1	220/295/283	63	320	3	36	29%	9%	65	-0.6
✕Victor Acosta 2022 · A	18	42→45	39→40	55→50	50	198/293/292	94	262	5	20	25%	9%	70	-0.8	193/277/276	83	277	4	12	29%	8%	61	-1.5	188/274/265	77	265	4	13	28%	7%	55	-1.1
✕Ernesto Manzanillo 2008 · A	19	41	37→40	57→50	48	193/271/269	77	266	4	15	27%	9%	56	-1.9	215/282/308	93	313	5	14	30%	8%	68	-1.0	219/262/306	86	319	4	11	31%	5%	58	-0.7
✕Emil Turbi 2024 · A	19	44	37→40	50	50	201/292/280	79	280	2	12	26%	10%	67	-1.1	185/261/244	59	329	2	9	40%	8%	47	-2.6	139/215/159	21	300	0	9	49%	7%	9	-1.0
✕Kelvin Alarcon 2017 · A	18	44	34→30	51→55	63	201/324/251	50	275	1	14	24%	15%	74	-0.6	202/291/258	56	289	3	9	28%	10%	61	-1.5	202/264/238	35	318	0	8	34%	8%	43	-0.6

Yeferson Portolatin

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps