Bryan De La Cruz

Bryan De La CruzOF Lehigh Valley IronPigs

Age 29 R/R 6'0" / 175 lbs AAA HR +11%H +4% Svc 5.000 · Ctrl thru 2026

wRC+†vL 10287vR 63

AVG/OBP/SLG.238 / .283 / .388

PA540

HR18

K%27

BB%5

MLB%10%

Scouting · now → future

HIT

45→45

PWR

50→50

SPD

55→55

EYE

41↘40

trajectory · 10 yrs

0.7peak

2027

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Arb-3

MLB Debut 2021

Service 5.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$2M	—	—	—
Totals		$-2M		$-2M	+$0.0M

Career Projections (MLE)

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	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
2014	17	ROK	DSL Astros Blue	227	197	39	4	1	1	20	74	5	6	3	.198	.288	.244	.532	.046	.304	33	9	.237	40	-15	+0	+0	-2	+6	-1.2
2015	18	ROK	GCL Astros	169	154	28	1	1	0	9	59	2	2	6	.182	.236	.201	.438	.019	.292	35	5	.196	8	-18	-2	+0	-2	+5	-1.7
2016	19	ROK	Greeneville Astros	107	97	17	2	3	2	9	33	0	0	0	.175	.245	.320	.565	.144	.242	31	8	.250	50	-6	+0	+0	-1	+3	-0.4
2017	20	A	2 teams	72	66	13	3	0	1	4	18	1	1	1	.197	.254	.288	.541	.091	.250	25	6	.236	39	-5	-0	+0	-1	+2	-0.4
2018	21	A	2 teams	477	438	107	18	3	2	32	133	3	10	7	.244	.300	.313	.613	.068	.342	28	7	.276	69	-17	-1	+0	-5	+14	-0.9
2019	22	AA	3 teams	501	462	102	22	5	7	27	135	3	12	6	.221	.268	.335	.604	.115	.289	27	5	.262	59	-23	+0	+0	-5	+14	-1.5
2020	23	INTL	Toros del Este	17	16	7	0	0	0	1	4	0	0	0	.438	.471	.438	.908	.000	.583	24	6	—	—	—	—	+0	-0	—	—
2021	24	AAA	3 teams	581	539	147	24	2	17	34	146	3	3	5	.273	.319	.419	.739	.147	.341	25	6	.321	104	+2	-1	-2	+2	+16	1.8
2022	25	MLB	3 teams	545	509	133	33	0	22	29	141	3	6	1	.261	.305	.456	.761	.194	.317	26	5	.321	104	+2	+1	-6	+2	+15	1.5
2023	26	MLB	Miami Marlins	626	580	142	31	0	19	40	142	1	4	1	.245	.295	.397	.691	.152	.290	23	6	.304	91	-7	+0	-11	-7	+18	-0.6
2024	27	MLB	2 teams	671	631	144	23	0	23	31	183	3	7	2	.228	.268	.374	.642	.146	.281	27	5	.278	71	-22	+1	-6	-7	+19	-1.6
2025	28	AAA	3 teams	649	599	128	18	1	16	37	202	6	13	1	.214	.266	.327	.594	.114	.289	31	6	.262	59	-30	+2	-0	-7	+18	-1.8
▸ 2026 Season (actual · ROS · total)
2026	29	AAA	Lehigh Valley IronPigs	104	93	21	2	0	3	10	31	0	0	1	.226	.301	.344	.645	.118	.300	30	10	.299	87	-2	-0	+0	-1	+3	-0.0
ROS	29	MLB	PHI	436	404	95	15	0	14	27	120	2	4	2	.235	.286	.376	.663	.141	.300	28	6	.298	87	-7	+0	-6	-5	+12	-0.5
TOT	29	MLB	PHI	540	497	116	17	0	17	37	151	2	4	3	.233	.289	.370	.659	.137	.298	28	7	.299	87	-8	-0	-6	-6	+15	-0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB 20%	PHI	528	483	118	19	0	18	38	115	2	4	2	.244	.302	.395	.698	.151	.282	22	7	.310	95	-3	+0	-9	-6	+15	-0.3
2028	31	MLB 33%	PHI	513	469	113	18	0	17	37	114	2	1	1	.241	.299	.388	.687	.147	.281	22	7	.306	92	-5	-0	-10	-5	+15	-0.6
2029	32	MLB 43%	PHI	494	453	108	17	0	16	36	112	2	0	0	.238	.297	.382	.679	.143	.279	23	7	.301	89	-6	+0	-10	-5	+14	-0.8
2030	33	MLB 52%	PHI	464	426	99	15	0	14	33	108	2	0	0	.232	.291	.366	.657	.134	.278	23	7	.295	84	-8	+0	-11	-5	+13	-1.1
2031	34	MLB 64%	PHI	417	383	87	13	0	12	30	101	1	0	0	.227	.285	.355	.640	.128	.276	24	7	.289	79	-10	+0	-11	-4	+12	-1.3
▸ Career Totals (MLE all levels + projections)
Career	—			7494	6906	1627	276	16	201	474	1940	41	73	38	.236	.289	.368	.656	.132	.296	26	6	.288	79	-181	-1	-81	-64	+212	-11.7
/ 162G	—			650	599	140	24	1	17	41	168	4	6	3	.234	.287	.362	.650	.129	.294	26	6	.288	79	-16	+0	-7	-6	+18	-1.0

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2014	17	ROK	DSL Astros Blue	227	183	48	5	1	1	34	51	5	6	3	.262	.392	.317	.709	.055	.351	22	15	.329	110	+2	+0	—	—	+6	0.9
2015	18	ROK	GCL Astros	169	149	36	2	1	0	14	41	2	2	6	.242	.315	.268	.584	.027	.330	24	8	.268	63	-7	-2	—	—	+5	-0.4
2016	19	ROK	Greeneville Astros	107	92	23	3	4	3	14	23	0	0	0	.250	.349	.467	.816	.217	.303	21	13	.356	131	+4	+0	—	—	+3	0.7
2017	20	AA	Corpus Christi Hooks	32	28	5	2	0	1	2	7	1	0	0	.179	.258	.357	.615	.179	.190	22	6	.268	64	-1	+0	—	—	+1	-0.0
2017	20	A	Quad Cities River Bandits	40	37	10	2	0	0	3	7	0	1	1	.270	.325	.324	.649	.054	.333	18	8	.298	86	-1	-0	—	—	+1	0.0
2018	21	A+	Buies Creek Astros	213	182	54	11	1	0	27	41	2	7	2	.297	.393	.368	.761	.071	.378	19	13	.348	124	+6	+1	—	—	+6	1.3
2018	21	A	Quad Cities River Bandits	264	237	67	11	3	2	24	56	1	3	5	.283	.351	.380	.731	.097	.359	21	9	.329	110	+3	-1	—	—	+7	0.9
2019	22	AA	Corpus Christi Hooks	300	269	76	14	4	4	24	60	2	7	5	.283	.346	.409	.755	.126	.343	20	8	.333	113	+4	-1	—	—	+8	1.3
2019	22	A+	Fayetteville Woodpeckers	183	163	45	14	2	4	16	33	1	5	1	.276	.344	.460	.805	.184	.318	18	9	.350	126	+5	+1	—	—	+5	1.1
2019	22	INTL	Toros del Este	18	17	5	1	1	0	0	3	0	0	0	.294	.294	.471	.765	.176	.333	17	0	.312	97	-0	+0	—	—	+1	0.0
2020	23	INTL	Toros del Este	17	16	7	0	0	0	1	4	0	0	0	.438	.471	.438	.908	.000	.583	24	6	.414	175	+1	+0	—	—	+0	0.2
2021	24	MLB	Miami Marlins	219	199	59	7	2	5	18	53	1	1	1	.296	.358	.427	.785	.131	.380	24	8	.350	126	+6	-0	-2	+2	+6	1.3
2021	24	AAA	Sugar Land Skeeters	293	272	88	17	0	12	17	59	1	2	4	.324	.366	.518	.884	.195	.373	20	6	.385	153	+17	-1	—	—	+8	2.5
2021	24	INTL	Toros del Este	69	62	14	4	0	1	5	12	1	0	0	.226	.294	.339	.633	.113	.260	17	7	.284	75	-2	+0	—	—	+2	0.0
2022	25	MLB	Miami Marlins	355	329	83	20	0	13	19	90	2	4	0	.252	.296	.432	.728	.179	.304	25	5	.317	101	+0	+1	-6	+2	+10	0.8
2022	25	AAA	Jacksonville Jumbo Shrimp	54	50	16	3	0	4	4	13	0	1	0	.320	.370	.620	.990	.300	.364	24	7	.428	186	+5	+0	—	—	+2	0.7
2022	25	INTL	Toros del Este	136	124	29	7	1	1	11	32	1	1	1	.234	.301	.331	.632	.097	.308	24	8	.288	79	-3	-0	—	—	+4	0.0
2023	26	MLB	Miami Marlins	626	579	149	32	0	19	40	142	1	4	1	.257	.306	.411	.717	.154	.307	23	6	.316	100	+0	+0	-11	-7	+18	0.1
2024	27	MLB	Pittsburgh Pirates	622	584	136	25	0	21	29	170	3	5	2	.233	.272	.384	.656	.151	.289	27	5	.289	79	-15	+0	-6	-7	+18	-1.0
2024	27	INTL	Toros del Este	49	42	12	2	0	1	6	6	0	2	0	.286	.375	.405	.780	.119	.306	12	12	.347	123	+1	+0	—	—	+1	0.3
2025	28	MLB	Atlanta Braves	50	47	9	1	0	0	3	18	0	1	0	.191	.240	.213	.453	.021	.310	36	6	.212	21	-4	+0	-0	-7	+1	-1.0
2025	28	AAA	Scranton/Wilkes-Barre RailRiders	411	369	97	15	1	15	35	103	4	8	1	.263	.333	.431	.764	.168	.323	25	9	.339	117	+8	+1	—	—	+12	2.1
2025	28	INTL	Toros del Este	188	163	49	9	1	8	19	36	2	4	0	.301	.380	.515	.896	.215	.333	19	10	.386	154	+11	+1	—	—	+5	1.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1872	1738	436	85	2	58	109	473	7	15	4	.251	.297	.402	.699	.151	.309	25	6	.309	94	-12	+1	-25	-17	+53	0.1

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
Bryan De La Cruz (OGILVIE)	29	45	50	55	40	.238/.283/.388	.149	.299	18	7	27%	5%	87	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mikie Mahtook 2019 · MLB	29	45→55	50→55	52→50	42	.231/.287/.388	.157	.291	17	10	27%	6%	88	+0.9	.220/.283/.402	.182	.273	24	12	29%	7%	90	+1.0	.205/.268/.396	.192	.245	28	13	30%	7%	80	+0.3
✕Jerad Head 2013 · MLB	30	44→45	51→55	49→50	40	.230/.282/.392	.161	.279	19	8	25%	5%	87	+0.8	.229/.279/.369	.140	.279	16	7	24%	5%	79	+0.3	.226/.273/.359	.133	.272	15	2	23%	4%	69	-0.3
✕Chris Heisey 2014 · MLB	29	48→52	51→55	51→55	42	.244/.294/.405	.161	.288	19	10	23%	5%	95	+1.4	.219/.284/.384	.165	.261	20	10	24%	7%	86	+0.8	.199/.276/.375	.176	.231	24	8	26%	8%	76	+0.0
✕Jason Coats 2019 · MLB	29	46→50	50→55	48→45	40	.233/.277/.393	.160	.284	17	6	25%	5%	85	+0.7	.215/.252/.370	.155	.276	20	9	29%	4%	68	-0.5	.199/.233/.351	.152	.253	22	8	32%	4%	53	-0.9
✕Matt Carson 2010 · MLB	29	44→50	51→60	53→50	40	.230/.275/.394	.164	.275	19	12	25%	5%	84	+0.6	.237/.283/.418	.181	.289	22	15	26%	5%	94	+1.3	.239/.286/.415	.176	.296	21	14	26%	5%	91	+0.8
✕Stefan Gartrell 2013 · AAA	29	42→50	53→55	49→45	40	.223/.277/.393	.171	.286	22	7	30%	6%	85	+0.7	.225/.281/.371	.146	.324	18	8	34%	6%	81	+0.4	.220/.279/.333	.113	.339	14	3	37%	6%	65	-0.4
✕John Mayberry Jr. 2013 · MLB	29	47→48	51→55	49→50	45	.244/.296/.406	.163	.285	20	10	22%	6%	96	+1.5	.225/.289/.388	.163	.270	18	6	23%	8%	89	+0.9	.203/.272/.360	.158	.243	17	5	24%	8%	72	-0.1
●Alex Liddi 2018 · AAA	29	44→54	52→60	52→50	40	.229/.276/.393	.165	.299	20	11	30%	6%	85	+0.7	.228/.276/.414	.186	.306	25	9	33%	6%	90	+1.0	.227/.273/.433	.206	.302	28	6	34%	5%	94	+0.7
✕David Bote 2023 · MLB	30	42→48	48→55	49→45	44	.217/.287/.362	.145	.277	16	7	27%	7%	82	+0.5	.229/.296/.386	.157	.289	17	8	26%	7%	92	+1.2	.225/.296/.391	.167	.277	18	6	25%	8%	90	+0.5
●Brandon Dixon 2022 · MLB	30	46→44	52→60	51→55	38	.234/.282/.403	.169	.314	21	9	32%	6%	89	+1.0	.250/.312/.487	.237	.329	33	14	33%	7%	125	+3.5	.231/.293/.457	.226	.311	33	14	36%	7%	109	+1.1
✕Donnie Murphy 2012 · MLB	29	41	51→60	49→45	43	.215/.274/.381	.166	.256	19	4	24%	6%	81	+0.4	.217/.281/.396	.179	.267	22	6	27%	6%	88	+0.9	.203/.270/.377	.174	.251	23	5	29%	6%	75	+0.0
✕Mac Williamson 2019 · MLB	29	41→50	54→55	44→45	41	.221/.280/.391	.170	.278	23	6	30%	6%	86	+0.8	.226/.296/.397	.171	.292	23	8	30%	8%	95	+1.4	.208/.287/.373	.165	.267	26	7	32%	9%	85	+0.3
✕Nick Gorneault 2008 · AAA	29	45→48	50→55	48→50	44	.229/.285/.384	.155	.293	17	11	28%	7%	85	+0.7	.211/.266/.349	.138	.279	16	11	29%	7%	69	-0.4	.197/.252/.331	.134	.260	16	9	30%	6%	54	-1.0
✕Armando Alvarez 2023 · AAA	29	42→46	51→55	45→50	42	.221/.262/.378	.157	.261	19	7	24%	5%	74	-0.1	.239/.293/.404	.165	.285	20	10	23%	7%	95	+1.4	.240/.305/.397	.157	.290	20	9	24%	8%	94	+0.6
✕Elier Hernandez 2023 · MLB	28	45→49	49→50	51→50	38	.228/.275/.381	.153	.297	17	10	29%	5%	81	+0.4	.234/.285/.371	.137	.309	14	9	28%	6%	82	+0.5	.231/.282/.357	.127	.306	12	8	28%	6%	72	-0.2
✕Mike Wilson 2012 · MLB	29	45→54	52→60	48→50	45	.230/.302/.394	.164	.303	20	10	30%	8%	96	+1.5	.226/.291/.383	.157	.305	19	7	31%	8%	89	+0.9	.213/.273/.361	.148	.300	20	4	35%	6%	72	-0.1
✕Jayson Nix 2012 · MLB	29	40→49	52→55	49→55	45	.213/.280/.375	.162	.250	21	11	24%	7%	82	+0.5	.217/.281/.339	.122	.281	12	14	26%	7%	72	-0.2	.215/.278/.307	.092	.283	7	15	25%	7%	60	-0.5
●Marshall McDougall 2008 · MLB	29	46→56	51→55	47→45	42	.238/.276/.399	.161	.275	19	6	22%	5%	85	+0.7	.237/.273/.388	.151	.263	18	8	18%	5%	82	+0.5	.270/.318/.439	.169	.287	23	7	15%	6%	111	+1.4
✕Ricardo Vazquez 2014 · AAA	29	49	47→55	50→45	41	.246/.288/.383	.137	.294	15	12	22%	4%	86	+0.8	.238/.284/.370	.132	.292	15	9	23%	5%	82	+0.5	.241/.296/.388	.147	.279	18	5	21%	6%	88	+0.3
✕Alex Guerrero 2015 · AAA	28	48	53→60	54→45	39	.249/.287/.427	.178	.292	21	9	23%	4%	98	+1.6	.232/.267/.400	.168	.273	21	8	24%	4%	82	+0.5	.232/.262/.424	.192	.266	28	3	25%	3%	88	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)