Stanley Martinez

Pos1B

B/TR/R

Born1997-01-05

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

ROKLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	20	ROKDSL Rangers 1	233	.286/.396/.458	6	5	49	—	.179/.273/.269
2018	21	ROKAZL Rangers	167	.336/.416/.452	2	2	59	—	.222/.283/.294
2019	22	ROKAZL Rangers	52	.444/.519/.756	3	2	138	—	.319/.385/.532

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)
2015	18	ROK	DSL Rangers 1	—	198	164	38	12	2	0	23	38	3	7	3	232	335	329	664	98	295	19	12	296	22	—	—	—	—	—	—
2016	19	ROK	DSL Rangers 2	—	260	217	59	11	1	4	35	52	7	11	4	272	390	387	777	115	340	20	13	356	36	—	—	—	—	—	—
2017	20	ROK	DSL Rangers 1	—	233	192	55	11	2	6	26	32	9	5	1	286	396	458	855	172	308	14	11	374	49	—	—	—	—	—	—
2018	21	ROK	AZL Rangers	—	167	146	49	9	1	2	17	40	3	2	4	336	416	452	868	116	448	24	10	389	59	—	—	—	—	—	—
2019	22	ROK	AZL Rangers	—	52	45	20	3	1	3	6	11	1	2	0	444	519	756	1.275	311	548	21	12	546	138	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	18	ROK MLE	DSL Rangers 1	—	198	172	26	8	1	0	16	46	3	7	3	151	236	209	445	58	189	23	8	200	22	—	—	—	—	—	—
2016	19	ROK MLE	DSL Rangers 2	—	260	228	37	6	1	2	24	63	7	11	4	162	263	224	486	61	210	24	9	222	36	—	—	—	—	—	—
2017	20	ROK MLE	DSL Rangers 1	—	233	201	36	7	1	3	17	39	9	5	1	179	273	269	542	90	191	17	7	241	49	—	—	—	—	—	—
2018	21	ROK MLE	AZL Rangers	—	167	153	34	6	1	1	10	58	3	2	4	222	283	294	577	72	334	35	6	255	59	—	—	—	—	—	—
2019	22	ROK MLE	AZL Rangers	—	52	47	15	2	1	2	4	16	1	2	0	319	385	532	917	213	416	31	8	372	138	—	—	—	—	—	—
2015	18	ROK MLE	DSL Rangers 1	—	198	172	26	8	1	0	16	46	3	7	3	151	236	209	445	58	202	23	8	200	22	—	—	—	—	—	—
2015	18	ROK RAW	DSL Rangers 1	—	198	164	38	12	2	0	23	38	3	7	3	232	335	329	664	98	295	19	12	296	22	—	—	—	—	—	—
2016	19	ROK MLE	DSL Rangers 2	—	260	228	37	6	1	2	24	63	7	11	4	162	263	224	486	61	213	24	9	222	36	—	—	—	—	—	—
2016	19	ROK RAW	DSL Rangers 2	—	260	217	59	11	1	4	35	52	7	11	4	272	390	387	777	115	340	20	13	356	36	—	—	—	—	—	—
2017	20	ROK MLE	DSL Rangers 1	—	233	201	36	7	1	3	17	39	9	5	1	179	273	269	542	90	201	17	7	241	49	—	—	—	—	—	—
2017	20	ROK RAW	DSL Rangers 1	—	233	192	55	11	2	6	26	32	9	5	1	286	396	458	855	172	308	14	11	374	49	—	—	—	—	—	—
2018	21	ROK MLE	AZL Rangers	—	167	153	34	6	1	1	10	58	3	2	4	222	283	294	577	72	347	35	6	255	59	—	—	—	—	—	—
2018	21	ROK RAW	AZL Rangers	—	167	146	49	9	1	2	17	40	3	2	4	336	416	452	868	116	448	24	10	389	59	—	—	—	—	—	—
2019	22	ROK MLE	AZL Rangers	—	52	47	15	2	1	2	4	16	1	2	0	319	385	532	917	213	448	31	8	372	138	—	—	—	—	—	—
2019	22	ROK RAW	AZL Rangers	—	52	45	20	3	1	3	6	11	1	2	0	444	519	756	1.275	311	548	21	12	546	138	—	—	—	—	—	—
2015	18	ROK MLE	DSL Rangers 1	—	198	177	26	8	1	0	16	46	3	7	3	147	236	203	439	56	189	23	8	200	22	—	—	—	—	—	—
2016	19	ROK MLE	DSL Rangers 2	—	260	227	37	6	1	2	24	63	7	11	4	163	263	225	487	62	210	24	9	222	36	—	—	—	—	—	—
2017	20	ROK MLE	DSL Rangers 1	—	233	205	36	7	1	3	17	39	9	5	1	176	273	263	537	88	191	17	7	241	49	—	—	—	—	—	—
2018	21	ROK MLE	AZL Rangers	—	167	152	34	6	1	1	10	58	3	2	4	224	283	296	579	72	334	35	6	255	59	—	—	—	—	—	—
2019	22	ROK MLE	AZL Rangers	—	52	47	15	2	1	2	4	16	1	2	0	319	385	532	917	213	416	31	8	372	138	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	910	801	148	29	5	8	71	222	23	27	12	185	270	263	534	79	241	24	8	237	46	-58	+1	+0	-16	+20	-5.5
/ 162G	—	MLE		—	650	572	107	21	4	6	51	159	16	19	9	187	272	269	542	82	244	24	8	237	46	-41	+0	+0	-12	+14	-4.0

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.

2019 ROKAZL Rangers · 52 PAwOBA .531 → .372 (−159)K% 21.2% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.15%	÷1.000	×1.440	—	—	30.46%
BB% (unintentional) /PA	11.54%	÷1.000	×0.620	—	×0.975	6.97%
HBP% /PA	1.92%	—	×0.720	—	×0.975	1.35%
Singles /BIP	38.24%	÷1.000	×0.820	—	×0.975	30.57%
Doubles /BIP	8.82%	÷1.000	×0.720	—	×0.975	6.19%
Triples /BIP	2.94%	÷1.000	×0.720	—	×0.975	2.06%
Home runs /BIP	8.82%	÷1.000	×0.780	—	×0.975	6.71%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .531 → .372; ISO .311 → .215; BABIP .548 → .416. 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).

2018 ROKAZL Rangers · 167 PAwOBA .381 → .255 (−126)K% 24.0% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.95%	÷1.000	×1.440	—	—	34.49%
BB% (unintentional) /PA	10.18%	÷1.000	×0.620	—	×0.985	6.22%
HBP% /PA	1.80%	—	×0.720	—	×0.985	1.27%
Singles /BIP	34.91%	÷1.000	×0.820	×0.952	×0.985	26.85%
Doubles /BIP	8.49%	÷1.000	×0.720	×0.952	×0.985	5.73%
Triples /BIP	0.94%	÷1.000	×0.720	×0.952	×0.985	0.64%
Home runs /BIP	1.89%	÷1.000	×0.780	—	×0.985	1.45%

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 ×0.952.

Result: wOBA .381 → .255; ISO .116 → .075; BABIP .448 → .334. 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 DSLDSL Rangers 1 · 233 PAwOBA .371 → .241 (−131)K% 13.7% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.73%	÷1.000	×1.220	—	—	16.76%
BB% (unintentional) /PA	10.73%	÷1.000	×0.700	—	×0.985	7.40%
HBP% /PA	3.86%	—	×0.700	—	×0.985	2.66%
Singles /BIP	22.50%	÷1.000	×0.680	×0.972	×0.985	14.66%
Doubles /BIP	6.88%	÷1.000	×0.600	×0.972	×0.985	3.95%
Triples /BIP	1.25%	÷1.000	×0.600	×0.972	×0.985	0.72%
Home runs /BIP	3.75%	÷1.000	×0.470	—	×0.985	1.74%

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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .371 → .241; ISO .172 → .094; BABIP .308 → .191. 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 DSLDSL Rangers 2 · 260 PAwOBA .349 → .222 (−126)K% 20.0% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.000	×1.220	—	—	24.40%
BB% (unintentional) /PA	13.46%	÷1.000	×0.700	—	×0.995	9.38%
HBP% /PA	2.69%	—	×0.700	—	×0.995	1.88%
Singles /BIP	26.06%	÷1.000	×0.680	×0.950	×0.995	16.75%
Doubles /BIP	6.67%	÷1.000	×0.600	×0.950	×0.995	3.78%
Triples /BIP	0.61%	÷1.000	×0.600	×0.950	×0.995	0.34%
Home runs /BIP	2.42%	÷1.000	×0.470	—	×0.995	1.13%

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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .349 → .222; ISO .115 → .061; BABIP .340 → .210. 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 Rangers 1 · 198 PAwOBA .294 → .200 (−93)K% 19.2% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.19%	÷1.000	×1.220	—	—	23.41%
BB% (unintentional) /PA	11.62%	÷1.000	×0.700	—	×1.008	8.19%
HBP% /PA	1.52%	—	×0.700	—	×1.008	1.07%
Singles /BIP	19.05%	÷1.000	×0.680	×0.979	×1.008	12.77%
Doubles /BIP	9.52%	÷1.000	×0.600	×0.979	×1.008	5.63%
Triples /BIP	1.59%	÷1.000	×0.600	×0.979	×1.008	0.94%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.008	0.00%

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 ×0.979.

Result: wOBA .294 → .200; ISO .098 → .061; BABIP .295 → .189. 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).