Jeremias Portorreal

PosRF

B/TL/L

Born1997-08-07

Age (2027)29

No MLB projection yet. Career stats below are historical.

Overview

ROKLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	18	ROKGCL Pirates	217	.256/.377/.378	0	3	52	—	.188/.274/.266
2017	19	ROKGCL Pirates	213	.263/.343/.426	5	0	32	—	.166/.221/.261
2018	20	ROKBristol Pirat…	104	.172/.301/.253	2	1	0	—	.108/.194/.151

Contract

No contract data on file.

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)
2014	16	ROK	DSL Pirates	—	241	204	34	5	2	2	35	73	0	1	2	167	289	240	529	74	248	30	15	253	-5	—	—	—	—	—	—
2015	17	ROK	DSL Pirates	—	263	213	49	8	7	1	45	67	4	1	0	230	374	347	721	117	331	25	17	334	34	—	—	—	—	—	—
2016	18	ROK	GCL Pirates	—	217	180	46	10	6	0	31	35	4	3	3	256	377	378	755	122	315	16	14	342	52	—	—	—	—	—	—
2017	19	ROK	GCL Pirates	—	213	190	50	6	5	5	21	59	2	0	3	263	343	426	769	163	357	28	10	343	32	—	—	—	—	—	—
2018	20	ROK	Bristol Pirates	—	104	87	15	1	0	2	14	36	2	1	0	172	301	253	554	80	260	35	13	265	0	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	16	ROK MLE	DSL Pirates	—	241	214	21	3	1	1	25	89	0	1	2	98	192	136	328	37	161	37	10	161	-5	—	—	—	—	—	—
2015	17	ROK MLE	DSL Pirates	—	263	226	31	5	4	0	32	82	4	1	0	137	256	195	450	58	216	31	12	218	34	—	—	—	—	—	—
2016	18	ROK MLE	GCL Pirates	—	217	192	36	7	4	0	19	50	4	3	3	188	274	266	540	78	250	23	9	245	52	—	—	—	—	—	—
2017	19	ROK MLE	GCL Pirates	—	213	199	33	4	3	3	12	85	2	0	3	166	221	261	482	95	268	40	6	216	32	—	—	—	—	—	—
2018	20	ROK MLE	Bristol Pirates	—	104	93	10	1	0	1	8	51	2	1	0	108	194	151	345	43	200	49	8	168	0	—	—	—	—	—	—
2014	16	ROK MLE	DSL Pirates	—	241	214	21	3	1	1	25	89	0	1	2	98	192	136	328	37	161	37	10	161	-5	—	—	—	—	—	—
2014	16	ROK RAW	DSL Pirates	—	241	204	34	5	2	2	35	73	0	1	2	167	289	240	529	74	248	30	15	253	-5	—	—	—	—	—	—
2015	17	ROK MLE	DSL Pirates	—	263	226	31	5	4	0	32	82	4	1	0	137	256	195	450	58	215	31	12	218	34	—	—	—	—	—	—
2015	17	ROK RAW	DSL Pirates	—	263	213	49	8	7	1	45	67	4	1	0	230	374	347	721	117	331	25	17	334	34	—	—	—	—	—	—
2016	18	ROK MLE	GCL Pirates	—	217	192	36	7	4	0	19	50	4	3	3	188	274	266	540	78	252	23	9	245	52	—	—	—	—	—	—
2016	18	ROK RAW	GCL Pirates	—	217	180	46	10	6	0	31	35	4	3	3	256	377	378	755	122	315	16	14	342	52	—	—	—	—	—	—
2017	19	ROK MLE	GCL Pirates	—	213	199	33	4	3	3	12	85	2	0	3	166	221	261	482	95	270	40	6	216	32	—	—	—	—	—	—
2017	19	ROK RAW	GCL Pirates	—	213	190	50	6	5	5	21	59	2	0	3	263	343	426	769	163	357	28	10	343	32	—	—	—	—	—	—
2018	20	ROK MLE	Bristol Pirates	—	104	93	10	1	0	1	8	51	2	1	0	108	194	151	345	43	214	49	8	168	0	—	—	—	—	—	—
2018	20	ROK RAW	Bristol Pirates	—	104	87	15	1	0	2	14	36	2	1	0	172	301	253	554	80	260	35	13	265	0	—	—	—	—	—	—
2014	16	ROK MLE	DSL Pirates	—	241	214	21	3	1	1	25	89	0	1	2	98	192	136	328	37	161	37	10	161	-5	—	—	—	—	—	—
2015	17	ROK MLE	DSL Pirates	—	263	225	31	5	4	0	32	82	4	1	0	138	256	196	451	58	216	31	12	218	34	—	—	—	—	—	—
2016	18	ROK MLE	GCL Pirates	—	217	192	36	7	4	0	19	50	4	3	3	188	274	266	540	78	250	23	9	245	52	—	—	—	—	—	—
2017	19	ROK MLE	GCL Pirates	—	213	197	33	4	3	3	12	85	2	0	3	168	221	264	485	96	268	40	6	216	32	—	—	—	—	—	—
2018	20	ROK MLE	Bristol Pirates	—	104	93	10	1	0	1	8	51	2	1	0	108	194	151	345	43	200	49	8	168	0	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1038	924	131	20	12	5	96	357	12	6	8	142	232	206	437	64	223	34	9	205	25	-93	-2	+0	-11	+22	-8.5
/ 162G	—	MLE		—	650	579	83	13	8	3	60	224	8	4	5	143	234	209	443	66	227	34	9	205	25	-58	-1	+0	-7	+14	-5.3

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.

2018 ROKBristol Pirates · 104 PAwOBA .257 → .168 (−89)K% 34.6% → 49.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.62%	÷1.000	×1.420	—	—	49.15%
BB% (unintentional) /PA	12.50%	÷1.000	×0.640	—	×0.985	7.88%
HBP% /PA	1.92%	—	×0.740	—	×0.985	1.40%
Singles /BIP	23.53%	÷1.000	×0.840	×0.950	×0.985	18.49%
Doubles /BIP	1.96%	÷1.000	×0.740	×0.950	×0.985	1.36%
Triples /BIP	0.00%	÷1.000	×0.740	×0.950	×0.985	0.00%
Home runs /BIP	3.92%	÷1.000	×0.800	—	×0.985	3.09%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .257 → .168; ISO .080 → .053; BABIP .260 → .200. 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).

2017 ROKGCL Pirates · 213 PAwOBA .333 → .216 (−116)K% 27.7% → 39.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.70%	÷1.000	×1.440	—	—	39.89%
BB% (unintentional) /PA	9.39%	÷1.000	×0.620	—	×0.995	5.79%
HBP% /PA	0.94%	—	×0.720	—	×0.995	0.67%
Singles /BIP	25.95%	÷1.000	×0.820	×0.955	×0.995	20.22%
Doubles /BIP	4.58%	÷1.000	×0.720	×0.955	×0.995	3.13%
Triples /BIP	3.82%	÷1.000	×0.720	×0.955	×0.995	2.61%
Home runs /BIP	3.82%	÷1.000	×0.780	—	×0.995	2.96%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .333 → .216; ISO .163 → .104; BABIP .357 → .268. 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).

2016 ROKGCL Pirates · 217 PAwOBA .336 → .245 (−90)K% 16.1% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.13%	÷1.000	×1.440	—	—	23.23%
BB% (unintentional) /PA	14.29%	÷1.000	×0.620	—	×1.008	8.92%
HBP% /PA	1.84%	—	×0.720	—	×1.008	1.34%
Singles /BIP	20.69%	÷1.000	×0.820	×1.001	×1.008	17.11%
Doubles /BIP	6.90%	÷1.000	×0.720	×1.001	×1.008	5.01%
Triples /BIP	4.14%	÷1.000	×0.720	×1.001	×1.008	3.01%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	0.00%

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 ×1.001.

Result: wOBA .336 → .245; ISO .122 → .088; BABIP .315 → .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).

2015 DSLDSL Pirates · 263 PAwOBA .327 → .218 (−109)K% 25.5% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.48%	÷1.000	×1.220	—	—	31.08%
BB% (unintentional) /PA	17.11%	÷1.000	×0.700	—	×1.008	12.07%
HBP% /PA	1.52%	—	×0.700	—	×1.008	1.07%
Singles /BIP	22.60%	÷1.000	×0.680	×0.990	×1.008	15.34%
Doubles /BIP	5.48%	÷1.000	×0.600	×0.990	×1.008	3.28%
Triples /BIP	4.79%	÷1.000	×0.600	×0.990	×1.008	2.87%
Home runs /BIP	0.68%	÷1.000	×0.470	—	×1.008	0.32%

Factors used: level-wide DSL 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 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 ×0.990.

Result: wOBA .327 → .218; ISO .117 → .069; BABIP .331 → .216. 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).

2014 DSLDSL Pirates · 241 PAwOBA .247 → .161 (−86)K% 30.3% → 37.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.29%	÷1.000	×1.220	—	—	36.95%
BB% (unintentional) /PA	14.52%	÷1.000	×0.700	—	×1.022	10.39%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	19.08%	÷1.000	×0.680	×0.966	×1.022	12.82%
Doubles /BIP	3.82%	÷1.000	×0.600	×0.966	×1.022	2.26%
Triples /BIP	1.53%	÷1.000	×0.600	×0.966	×1.022	0.90%
Home runs /BIP	1.53%	÷1.000	×0.470	—	×1.022	0.73%

Factors used: level-wide DSL 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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .247 → .161; ISO .074 → .039; BABIP .248 → .161. 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).