Keury De La Cruz

PosCF

B/TL/L

Born1991-11-28

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	23	AABOS	433	.240/.284/.375	9	3	52	—	.213/.244/.317
2017	25	AASEA	127	.238/.268/.279	0	5	26	—	.202/.220/.234
2019	27	INTLBravos de Mar…	54	.275/.288/.431	1	1	92	—

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)
2009	17	ROK	DSL Red Sox	—	303	251	65	16	4	3	42	43	4	13	8	259	372	390	763	131	295	14	14	342	37	—	—	—	—	—	—
2010	18	ROK	GCL Red Sox	—	219	198	52	10	7	6	17	50	1	8	6	263	324	475	799	212	317	23	8	345	44	—	—	—	—	—	—
2012	20	A+	Salem Red Sox	—	26	25	7	2	0	1	1	2	0	1	1	280	308	480	788	200	273	8	4	345	80	—	—	—	—	—	—
2012	20	A	Greenville Drive	—	506	474	146	35	8	19	26	101	6	19	7	308	352	536	888	228	359	20	5	387	88	—	—	—	—	—	—
2013	21	A+	Salem Red Sox	—	575	535	138	36	6	9	31	130	2	16	9	258	301	398	699	140	320	23	5	307	47	—	—	—	—	—	—
2013	21	INTL	Aguilas Cibaenas	—	27	26	5	2	0	0	1	6	0	0	1	192	222	269	491	77	250	22	4	222	36	—	—	—	—	—	—
2014	22	AA	Portland Sea Dogs	—	275	258	76	15	0	7	14	55	0	3	2	295	331	434	765	140	347	20	5	336	83	—	—	—	—	—	—
2015	23	AA	Portland Sea Dogs	—	433	405	97	22	3	9	23	95	2	3	6	240	284	375	659	136	290	22	5	292	52	—	—	—	—	—	—
2017	25	AA	Arkansas Travelers	—	127	122	29	3	1	0	5	24	0	5	1	238	268	279	546	41	296	19	4	249	26	—	—	—	—	—	—
2019	27	INTL	Bravos de Margarita	—	54	51	14	3	1	1	1	8	0	1	1	275	288	431	720	157	295	15	2	304	92	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	DSL Red Sox	—	303	265	42	10	2	1	29	52	4	13	8	158	252	223	474	64	184	17	10	223	37	—	—	—	—	—	—
2010	18	ROK MLE	GCL Red Sox	—	219	204	36	6	5	4	11	72	1	8	6	176	222	314	536	137	240	33	5	233	44	—	—	—	—	—	—
2012	20	A+ MLE	Salem Red Sox	—	26	25	7	2	0	1	1	3	0	1	1	280	308	480	788	200	240	12	4	287	80	—	—	—	—	—	—
2012	20	A MLE	Greenville Drive	—	506	484	121	25	6	15	16	136	6	19	7	250	283	419	702	169	318	27	3	299	88	—	—	—	—	—	—
2013	21	A+ MLE	Salem Red Sox	—	575	548	113	27	4	8	18	186	2	16	9	206	234	314	548	108	286	32	3	237	47	—	—	—	—	—	—
2014	22	AA MLE	Portland Sea Dogs	—	275	263	71	13	0	6	9	69	0	3	2	270	294	388	682	118	331	25	3	291	83	—	—	—	—	—	—
2015	23	AA MLE	Portland Sea Dogs	—	433	413	88	18	2	7	15	118	2	3	6	213	244	317	561	104	279	27	3	245	52	—	—	—	—	—	—
2017	25	AA MLE	Arkansas Travelers	—	127	124	25	2	1	0	3	30	0	5	1	202	220	234	454	32	272	24	2	206	26	—	—	—	—	—	—
2009	17	ROK MLE	DSL Red Sox	—	303	265	42	10	2	1	29	52	4	13	8	158	252	223	474	64	189	17	10	223	37	—	—	—	—	—	—
2009	17	ROK RAW	DSL Red Sox	—	303	251	65	16	4	3	42	43	4	13	8	259	372	390	763	131	295	14	14	342	37	—	—	—	—	—	—
2010	18	ROK MLE	GCL Red Sox	—	219	204	36	6	5	4	11	72	1	8	6	176	222	314	536	137	244	33	5	233	44	—	—	—	—	—	—
2010	18	ROK RAW	GCL Red Sox	—	219	198	52	10	7	6	17	50	1	8	6	263	324	475	799	212	317	23	8	345	44	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	532	510	128	27	6	16	16	138	6	20	8	251	282	422	704	171	315	26	3	298	88	—	—	—	—	—	—
2012	20	A RAW	2 teams	—	532	499	153	37	8	20	27	103	6	20	8	307	350	533	883	226	354	19	5	385	88	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	602	574	118	28	4	8	19	194	2	16	10	206	234	310	544	105	290	32	3	237	47	—	—	—	—	—	—
2013	21	A+ RAW	2 teams	—	602	561	143	38	6	9	32	136	2	16	10	255	297	392	690	137	317	23	5	303	47	—	—	—	—	—	—
2014	22	AA MLE	Portland Sea Dogs	—	275	263	71	13	0	6	9	69	0	3	2	270	294	388	682	118	340	25	3	291	83	—	—	—	—	—	—
2014	22	AA RAW	Portland Sea Dogs	—	275	258	76	15	0	7	14	55	0	3	2	295	331	434	765	140	347	20	5	336	83	—	—	—	—	—	—
2015	23	AA MLE	Portland Sea Dogs	—	433	413	88	18	2	7	15	118	2	3	6	213	244	317	561	104	279	27	3	245	52	—	—	—	—	—	—
2015	23	AA RAW	Portland Sea Dogs	—	433	405	97	22	3	9	23	95	2	3	6	240	284	375	659	136	290	22	5	292	52	—	—	—	—	—	—
2017	25	AA MLE	Arkansas Travelers	—	127	124	25	2	1	0	3	30	0	5	1	202	220	234	454	32	266	24	2	206	26	—	—	—	—	—	—
2017	25	AA RAW	Arkansas Travelers	—	127	122	29	3	1	0	5	24	0	5	1	238	268	279	546	41	296	19	4	249	26	—	—	—	—	—	—
2019	27	INTL MLE	Bravos de Margarita	—	54	51	14	3	1	1	1	8	0	1	1	275	288	431	720	157	295	15	2	—	—	—	—	—	—	—	—
2019	27	INTL RAW	Bravos de Margarita	—	54	51	14	3	1	1	1	8	0	1	1	275	288	431	720	157	295	15	2	304	92	—	—	—	—	—	—
2009	17	ROK MLE	DSL Red Sox	—	303	267	42	10	2	1	29	52	4	13	8	157	252	221	473	64	184	17	10	223	37	—	—	—	—	—	—
2010	18	ROK MLE	GCL Red Sox	—	219	205	36	6	5	4	11	72	1	8	6	176	222	312	534	137	240	33	5	233	44	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	532	505	128	27	6	16	16	138	6	20	8	253	282	426	708	172	314	26	3	298	88	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	602	576	118	28	4	8	19	194	2	16	10	205	234	309	543	104	286	32	3	237	47	—	—	—	—	—	—
2014	22	AA MLE	Portland Sea Dogs	—	275	264	71	13	0	6	9	69	0	3	2	269	294	386	680	117	331	25	3	291	83	—	—	—	—	—	—
2015	23	AA MLE	Portland Sea Dogs	—	433	413	88	18	2	7	15	118	2	3	6	213	244	317	561	104	279	27	3	245	52	—	—	—	—	—	—
2017	25	AA MLE	Arkansas Travelers	—	127	123	25	2	1	0	3	30	0	5	1	203	220	236	456	33	272	24	2	206	26	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2545	2404	522	107	21	43	103	681	15	69	42	217	254	333	587	116	281	27	4	248	54	-138	-3	+0	+9	+55	-7.9
/ 162G	—	MLE		—	650	614	133	27	5	11	26	174	4	18	11	217	253	331	584	114	280	27	4	248	54	-35	-1	+0	+2	+14	-2.0

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.

2017 AAArkansas Travelers · 127 PAwOBA .242 → .206 (−37)K% 18.9% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.90%	÷0.973	×1.220	—	—	23.70%
BB% (unintentional) /PA	3.94%	÷1.005	×0.700	—	×0.988	2.71%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	25.51%	÷0.974	×0.920	×0.999	×0.988	23.78%
Doubles /BIP	3.06%	÷0.993	×0.840	×0.999	×0.988	2.56%
Triples /BIP	1.02%	÷1.150	×0.940	×0.999	×0.988	0.82%
Home runs /BIP	0.00%	÷1.024	×0.800	—	×0.988	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 105, 1B 95, 2B 99, 3B 130, K 95, BB 101 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .242 → .206; ISO .041 → .032; BABIP .296 → .272. 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 AAPortland Sea Dogs · 433 PAwOBA .285 → .245 (−40)K% 21.9% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.94%	÷0.983	×1.220	—	—	27.23%
BB% (unintentional) /PA	5.31%	÷1.067	×0.700	—	×1.012	3.53%
HBP% /PA	0.46%	—	×0.850	—	×1.012	0.40%
Singles /BIP	20.32%	÷0.970	×0.970	×1.002	×1.012	20.60%
Doubles /BIP	7.10%	÷1.026	×0.860	×1.002	×1.012	6.03%
Triples /BIP	0.97%	÷1.150	×0.950	×1.002	×1.012	0.81%
Home runs /BIP	2.90%	÷0.994	×0.780	—	×1.012	2.31%

Factors used: league row EL. Park (home-season share, regressed): HR 99, 1B 94, 2B 105, 3B 130, K 97, BB 113 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .285 → .245; ISO .136 → .107; BABIP .290 → .279. 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 AAPortland Sea Dogs · 275 PAwOBA .329 → .291 (−38)K% 20.0% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.975	×1.220	—	—	25.02%
BB% (unintentional) /PA	4.73%	÷1.041	×0.700	—	×1.027	3.26%
HBP% /PA	0.00%	—	×0.850	—	×1.027	0.00%
Singles /BIP	26.60%	÷1.014	×0.970	×1.005	×1.027	26.26%
Doubles /BIP	7.39%	÷1.025	×0.860	×1.005	×1.027	6.40%
Triples /BIP	0.00%	÷0.900	×0.950	×1.005	×1.027	0.00%
Home runs /BIP	3.45%	÷0.959	×0.780	—	×1.027	2.88%

Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 103, 2B 105, 3B 80, K 95, BB 108 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .329 → .291; ISO .140 → .115; BABIP .347 → .331. 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).

2013 A+Salem Red Sox · 575 PAwOBA .302 → .237 (−64)K% 22.6% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.61%	÷0.994	×1.420	—	—	32.29%
BB% (unintentional) /PA	5.22%	÷1.054	×0.630	—	×1.012	3.16%
HBP% /PA	0.35%	—	×0.860	—	×1.012	0.30%
Singles /BIP	21.48%	÷1.036	×0.940	×1.020	×1.012	20.11%
Doubles /BIP	8.89%	÷1.038	×0.830	×1.020	×1.012	7.33%
Triples /BIP	1.48%	÷1.129	×0.800	×1.020	×1.012	1.08%
Home runs /BIP	2.22%	÷0.979	×0.900	—	×1.012	2.07%

Factors used: league row CAR. Park (home-season share, regressed): HR 96, 1B 107, 2B 108, 3B 126, K 99, BB 111 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .302 → .237; ISO .140 → .108; BABIP .320 → .286. 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).

2012 AGreenville Drive · 506 PAwOBA .376 → .299 (−77)K% 20.0% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.96%	÷0.997	×1.340	—	—	26.82%
BB% (unintentional) /PA	4.94%	÷1.054	×0.660	—	×1.015	3.14%
HBP% /PA	1.19%	—	×0.770	—	×1.015	0.93%
Singles /BIP	22.52%	÷0.959	×0.920	×0.980	×1.015	21.49%
Doubles /BIP	9.38%	÷1.062	×0.820	×0.980	×1.015	7.21%
Triples /BIP	2.14%	÷1.150	×0.940	×0.980	×1.015	1.74%
Home runs /BIP	5.09%	÷1.011	×0.820	—	×1.015	4.19%

Factors used: league row SAL. Park (home-season share, regressed): HR 102, 1B 92, 2B 112, 3B 130, K 99, BB 111 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .376 → .299; ISO .228 → .172; BABIP .359 → .318. 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).

2012 A+Salem Red Sox · 26 PAwOBA .335 → .287 (−47)K% 7.7% → 10.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.69%	÷1.008	×1.420	—	—	10.83%
BB% (unintentional) /PA	3.85%	÷1.035	×0.630	—	×1.027	2.40%
HBP% /PA	0.00%	—	×0.860	—	×1.027	0.00%
Singles /BIP	17.39%	÷1.041	×0.940	—	×1.027	16.13%
Doubles /BIP	8.70%	÷1.089	×0.830	—	×1.027	6.81%
Triples /BIP	0.00%	÷1.150	×0.800	—	×1.027	0.00%
Home runs /BIP	4.35%	÷0.944	×0.900	—	×1.027	4.26%

Factors used: league row CAR. Park (home-season share, regressed): HR 89, 1B 108, 2B 118, 3B 130, K 102, BB 107 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .335 → .287; ISO .200 → .177; BABIP .273 → .240. 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).

2010 ROKGCL Red Sox · 219 PAwOBA .340 → .233 (−107)K% 22.8% → 32.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.83%	÷1.000	×1.440	—	—	32.88%
BB% (unintentional) /PA	7.76%	÷1.000	×0.620	—	×1.008	4.85%
HBP% /PA	0.46%	—	×0.720	—	×1.008	0.33%
Singles /BIP	19.59%	÷1.000	×0.820	×0.970	×1.008	15.71%
Doubles /BIP	6.76%	÷1.000	×0.720	×0.970	×1.008	4.76%
Triples /BIP	4.73%	÷1.000	×0.720	×0.970	×1.008	3.33%
Home runs /BIP	4.05%	÷1.000	×0.780	—	×1.008	3.19%

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 ×0.970.

Result: wOBA .340 → .233; ISO .212 → .144; BABIP .317 → .240. 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).

2009 DSLDSL Red Sox · 303 PAwOBA .338 → .223 (−115)K% 14.2% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.19%	÷1.000	×1.220	—	—	17.31%
BB% (unintentional) /PA	13.53%	÷1.000	×0.700	—	×1.008	9.54%
HBP% /PA	1.32%	—	×0.700	—	×1.008	0.93%
Singles /BIP	20.19%	÷1.000	×0.680	×0.950	×1.008	13.14%
Doubles /BIP	7.69%	÷1.000	×0.600	×0.950	×1.008	4.42%
Triples /BIP	1.92%	÷1.000	×0.600	×0.950	×1.008	1.10%
Home runs /BIP	1.44%	÷1.000	×0.470	—	×1.008	0.68%

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 ×0.950.

Result: wOBA .338 → .223; ISO .131 → .076; BABIP .295 → .184. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .