Willmer De La Cruz

Willmer De La CruzSS Augusta GreenJackets

Age 23 S/R 5'8" / 168 lbs A Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 91 proj PA

wRC+†51

AVG/OBP/SLG.188 / .258 / .269

PA7

HR0

K%34

BB%8

ISO82

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$0.0M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2021	18	ROK	DSL Rays 2	—	210	165	43	9	2	2	41	51	3	21	11	261	416	376	792	115	363	24	20	366	134	+8	-0	—	—	+5	1.3
2022	19	ROK	FCL Rays	—	127	106	30	3	1	1	19	28	1	9	4	283	397	358	755	75	377	22	15	348	121	+3	+0	—	—	+3	0.6
2023	20	A	Charleston RiverDogs	—	24	23	5	1	1	0	0	10	1	0	0	217	250	348	598	130	385	42	0	265	65	-1	+0	—	—	+1	-0.0
2023	20	ROK	FCL Rays	—	76	58	10	1	0	0	13	18	2	6	1	172	342	190	532	17	238	24	17	263	64	-3	+1	—	—	+2	-0.1
2024	21	A	Augusta GreenJackets	—	91	76	14	1	1	0	13	32	1	5	2	184	308	224	531	39	318	35	14	259	61	-4	+0	—	—	+2	-0.2
2024	21	ROK	FCL Braves	—	39	32	9	2	0	0	7	6	0	4	1	281	410	344	754	62	346	15	18	354	125	+1	+0	—	—	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Rays 2	—	210	180	35	6	2	2	26	71	3	21	11	194	306	283	590	89	294	34	12	262	63	-9	-0	—	—	+5	-0.5
2022	19	ROK MLE	FCL Rays	—	127	113	23	2	1	1	12	40	1	9	4	204	286	265	551	62	306	31	9	249	55	-7	+0	—	—	+3	-0.4
2023	20	A MLE	Charleston RiverDogs	—	24	23	4	1	1	0	0	14	1	0	0	174	208	304	513	130	334	58	0	158	-7	-3	+0	—	—	+1	-0.3
2023	20	ROK MLE	FCL Rays	—	76	62	9	1	0	0	9	26	2	6	1	145	274	161	435	16	203	34	12	199	21	-7	+1	—	—	+2	-0.5
2024	21	A MLE	Augusta GreenJackets	—	91	82	12	1	1	0	8	45	1	5	2	146	231	183	414	37	311	49	9	188	13	-9	+0	—	—	+2	-0.7
2024	21	ROK MLE	FCL Braves	—	39	35	7	1	0	0	4	8	0	4	1	200	282	229	511	29	265	21	10	249	55	-2	+0	—	—	+1	-0.1
2021	18	ROK MLE	DSL Rays 2	—	210	180	35	6	2	2	26	71	3	21	11	194	306	283	590	89	306	34	12	262	63	—	—	—	—	—	—
2021	18	ROK RAW	DSL Rays 2	—	210	165	43	9	2	2	41	51	3	21	11	261	416	376	792	115	363	24	20	366	63	—	—	—	—	—	—
2022	19	ROK MLE	FCL Rays	—	127	113	23	2	1	1	12	40	1	9	4	204	286	265	551	62	306	31	9	249	55	—	—	—	—	—	—
2022	19	ROK RAW	FCL Rays	—	127	106	30	3	1	1	19	28	1	9	4	283	397	358	755	75	377	22	15	348	55	—	—	—	—	—	—
2023	20	ROK MLE	2 teams	—	100	85	12	1	1	0	9	40	3	6	1	141	247	176	424	35	255	40	9	189	14	—	—	—	—	—	—
2023	20	ROK RAW	2 teams	—	100	81	15	2	1	0	13	28	3	6	1	185	320	235	554	49	273	28	13	263	14	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	130	116	19	2	1	0	13	53	1	9	3	164	254	198	452	34	302	41	10	206	26	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	130	108	23	3	1	0	20	38	1	9	3	213	338	259	598	46	329	29	15	287	26	—	—	—	—	—	—
2021	18	ROK MLE	DSL Rays 2	—	210	179	35	6	2	2	26	71	3	21	11	196	306	285	591	89	294	34	12	262	63	—	—	—	—	—	—
2022	19	ROK MLE	FCL Rays	—	127	113	23	2	1	1	12	40	1	9	4	204	286	265	551	62	306	31	9	249	55	—	—	—	—	—	—
2023	20	ROK MLE	2 teams	—	100	88	12	1	1	0	9	40	3	6	1	136	247	170	418	34	234	40	9	189	14	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	130	115	19	2	1	0	13	53	1	9	3	165	254	200	454	35	297	41	10	206	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	2 teams	—	100	88	12	1	1	0	9	40	3	6	1	136	247	170	418	34	234	40	9	189	14	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	130	115	19	2	1	0	13	53	1	9	3	165	254	200	454	35	297	41	10	206	26	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	ATL	0%	7	6	1	0	0	0	1	2	0	0	0	167	286	167	452		287	29	14	244	51	-0	+0	+0	+0	+0	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	ATL	30%	147	133	26	4	1	2	11	48	2	3	1	195	267	286	553	90	289	33	7	256	60	-7	+0	+0	+2	+3	-0.2
2028	25	MLB MLE	ATL	44%	253	228	47	8	2	4	20	81	3	5	1	206	279	311	590	105	290	32	8	264	65	-11	+1	+0	+3	+5	-0.2
2029	26	MLB MLE	ATL	51%	328	295	60	10	2	6	26	104	4	7	1	203	277	312	589	108	290	32	8	269	68	-12	+1	+0	+4	+7	-0.1
2030	27	MLB MLE	ATL	52%	368	331	68	11	2	7	30	116	4	7	2	205	279	314	594	109	290	32	8	271	69	-13	+1	+0	+4	+8	-0.1
2031	28	MLB MLE	ATL	53%	392	353	72	12	2	7	32	124	4	7	2	204	278	309	586	105	289	32	8	270	69	-15	+1	-1	+4	+8	-0.2
2032	29	MLB MLE	ATL	53%	400	360	72	12	2	7	33	127	4	7	2	200	275	303	577	103	289	32	8	268	68	-15	+1	-1	+4	+9	-0.3
2033	30	MLB MLE	ATL	56%	402	362	72	12	2	7	33	129	4	6	1	199	273	301	574	102	288	32	8	266	66	-16	+1	-2	+4	+9	-0.5
2027	24	MLB CTX	ATL	30%	44	41	8	1	0	1	3	15	0	1	0	195	250	293	543	98	289	34	7	249	60	-2	+0	+0	+0	+1	-0.0
2028	25	MLB CTX	ATL	44%	112	101	20	3	1	2	9	36	1	2	0	198	270	307	577	109	290	32	8	256	65	-5	+0	+0	+1	+2	-0.1
2029	26	MLB CTX	ATL	51%	166	150	30	5	1	3	13	52	2	3	1	200	273	307	579	107	290	31	8	261	68	-6	+0	+0	+2	+4	-0.1
2030	27	MLB CTX	ATL	52%	193	174	36	6	1	4	15	61	2	4	1	207	277	322	599	115	290	32	8	263	69	-7	+0	+0	+2	+4	-0.0
2031	28	MLB CTX	ATL	53%	209	188	38	6	1	4	17	66	2	4	1	202	275	309	584	106	289	32	8	262	69	-8	+0	-0	+2	+5	-0.1
2032	29	MLB CTX	ATL	53%	210	189	38	6	1	4	17	67	2	4	1	201	274	307	581	106	289	32	8	260	68	-8	+0	-1	+2	+5	-0.2
2033	30	MLB CTX	ATL	56%	227	204	41	7	1	4	19	73	2	4	1	201	276	304	579	103	288	32	8	258	66	-9	+0	-1	+2	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1161	1047	211	34	6	22	93	370	11	22	5	202	274	309	582	107	286	32	8	260	63	-45	+2	-2	+12	+25	-0.8
/ 162G	—	A+C		—	650	586	117	19	3	12	52	207	6	12	3	200	271	304	575	104	284	32	8	260	63	-25	+1	-1	+7	+14	-0.4
Career	—	MLE		—	2864	2562	507	80	18	43	246	935	33	87	29	198	277	294	570	96	290	33	9	261	63	-90	+4	-4	+25	+50	-1.6
/ 162G	—	MLE		—	650	581	115	18	4	10	56	212	7	20	7	198	276	294	570	96	290	33	9	261	63	-25	+1	-1	+7	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.9	1,252	22	23	204	274	311	+13	+12	-0.1	0.1
/162	664	12	12	+7.1	+6.4	-0.0	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
Willmer De La Cruz (OGILVIE)	23	—	—	—	—	188/258/269	81	287	1	2	34%	8%	51	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gerard Hall 2011 · A	23	41→39	37→40	49→50	44	196/256/272	76	277	4	12	29%	7%	50	-2.3	214/268/301	87	306	3	10	29%	7%	61	-1.5	225/275/316	91	323	0	8	28%	6%	64	-0.7
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	35	174/226/251	77	275	5	7	37%	5%	34	-3.5	188/272/333	145	263	18	6	34%	9%	72	-0.7	166/252/300	134	233	18	4	36%	9%	55	-1.0
✕Steven Baron 2014 · A	23	35	40→45	53→50	34	179/213/275	95	257	7	9	33%	4%	34	-3.5	216/264/299	83	296	5	9	27%	6%	59	-1.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Roberto Caro 2017 · A	23	44→41	36→40	53→60	41	201/265/275	74	307	3	13	33%	7%	54	-2.0	213/283/291	78	317	3	23	31%	8%	65	-1.2	212/287/289	76	306	2	32	29%	8%	64	-0.8
✕J.T. Arruda 2022 · A	24	38→42	38→40	53→55	44	185/253/266	81	273	5	13	32%	8%	48	-2.5	202/277/292	90	295	6	20	31%	9%	63	-1.3	211/276/297	86	290	7	22	28%	8%	61	-0.9
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Hutton Moyer 2016 · A	23	39→42	42→50	50	36	194/252/305	111	271	9	7	31%	4%	57	-1.8	205/254/332	127	302	13	13	35%	5%	64	-1.3	196/243/329	133	288	15	15	36%	4%	57	-0.8
✕Jobduan Morales 2014 · A	23	37	37→40	49→40	42	180/245/252	72	276	5	4	35%	8%	42	-2.9	199/259/286	87	302	7	5	34%	7%	55	-2.0	195/254/288	94	300	7	3	35%	7%	53	-1.0
✕Jose Sermo 2014 · A	23	41→36	41→55	48→50	35	201/242/299	98	296	8	11	34%	5%	51	-2.3	207/254/318	111	326	11	10	38%	6%	60	-1.6	189/231/329	140	324	16	10	45%	5%	54	-0.9
✕Nick Quintana 2021 · A	23	39→40	39→45	49→45	36	186/240/271	86	298	6	9	38%	6%	44	-2.8	182/266/288	106	256	11	5	31%	9%	59	-1.6	164/257/264	101	226	11	3	30%	10%	49	-1.3
✕Shaver Hansen 2011 · A	23	37	40	53→45	36	178/236/271	93	295	7	10	40%	6%	43	-2.8	202/250/291	89	306	6	8	34%	6%	52	-2.2	202/244/283	81	297	4	6	32%	5%	46	-1.6
✕Estee Harris 2008 · A	23	37→31	40→50	49→50	36	182/234/272	91	293	8	13	39%	6%	42	-2.9	218/265/340	122	373	12	12	42%	5%	70	-0.9	212/254/349	137	373	14	14	45%	4%	63	-0.4
✕Abiezel Ramirez 2023 · A	23	39	43→45	53→55	38	185/251/297	113	318	11	13	43%	8%	55	-1.9	193/265/292	99	333	8	12	41%	8%	59	-1.7	155/244/232	77	291	6	15	44%	10%	35	-1.1
✕Jackson Cluff 2021 · A	24	40→30	42→45	51→60	40	198/263/305	106	283	9	12	32%	6%	61	-1.5	183/253/275	92	279	7	13	35%	7%	51	-2.2	179/271/301	122	264	12	28	34%	10%	62	-0.8
✕Jose Acosta 2023 · A	23	38	45	49→55	36	190/247/309	120	298	13	16	39%	6%	56	-1.9	191/244/298	107	281	10	17	34%	6%	52	-2.2	168/215/261	94	236	9	22	32%	5%	30	-1.0
✕Arquímedes Gamboa 2021 · AA	23	38→45	36→40	51→50	45	181/256/249	69	269	4	15	32%	9%	45	-2.7	201/280/295	94	290	8	14	30%	10%	65	-1.2	199/285/288	89	292	7	15	31%	10%	63	-0.8
✕Jonny Butler 2022 · A	23	43→33	39→50	51→55	42	207/267/295	88	301	7	9	32%	8%	60	-1.6	197/263/307	110	285	9	16	32%	7%	61	-1.5	172/251/288	116	240	10	18	31%	8%	50	-1.2
✕Raymel Flores 2018 · AA	23	41	36→45	46→50	37	194/246/262	68	296	4	11	34%	6%	44	-2.8	192/244/263	71	291	4	11	33%	6%	43	-2.8	149/197/187	38	232	0	13	34%	5%	5	-1.7
✕Tyler McDonough 2023 · A	24	42→43	42→45	53→55	38	202/259/306	104	317	9	14	37%	6%	59	-1.6	209/262/302	93	316	7	18	34%	6%	59	-1.7	205/272/319	113	293	12	20	32%	7%	64	-0.9
✕Grayson Greiner 2016 · A	23	37	38→45	46→30	37	181/234/253	73	279	6	3	36%	6%	38	-3.2	211/265/312	101	293	9	3	29%	6%	63	-1.4	217/276/324	107	289	10	0	27%	7%	67	-0.6

Career Stats + Projections

Career Comps

Career Path Comps