Diwarys Encarnacion

Diwarys Encarnacion3B DSL Marlins

Age 20 R/R 6'2" / 170 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 185 proj PA

wRC+†73

AVG/OBP/SLG.220 / .283 / .322

PA15

HR0

K%24

BB%7

ISO103

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Tools · ContractCON 50 / POW 45

Toolsscout grade

CONTACT50

scouting grade only

POWER45

scouting grade only

EYE45

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$1M	—	—	—
Totals		$3M		$4M	+$1M

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)
2024	18	ROK	DSL Marlins	—	202	176	40	10	0	1	19	34	5	3	3	227	320	301	621	74	273	17	9	288	81	-5	-1	—	—	+4	-0.1
2025	19	ROK	DSL Marlins	—	216	182	53	11	0	8	27	30	6	25	5	291	400	484	884	192	310	14	12	393	152	+13	+3	—	—	+5	2.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	18	ROK MLE	DSL Marlins	—	202	183	31	7	0	1	12	49	5	3	3	169	240	224	464	55	216	24	6	206	26	-18	-1	—	—	+4	-1.4
2025	19	ROK MLE	DSL Marlins	—	216	193	40	7	0	4	16	44	6	25	5	207	288	306	594	98	250	20	7	272	70	-8	+3	—	—	+5	0.0
2024	18	ROK MLE	DSL Marlins	—	202	183	31	7	0	1	12	49	5	3	3	169	240	224	464	55	222	24	6	206	26	—	—	—	—	—	—
2024	18	ROK RAW	DSL Marlins	—	202	176	40	10	0	1	19	34	5	3	3	227	320	301	621	74	273	17	9	288	26	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	216	193	40	7	0	4	16	44	6	25	5	207	288	306	594	98	247	20	7	272	70	—	—	—	—	—	—
2025	19	ROK RAW	DSL Marlins	—	216	182	53	11	0	8	27	30	6	25	5	291	400	484	884	192	310	14	12	393	70	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	202	183	31	7	0	1	12	49	5	3	3	169	240	224	464	55	216	24	6	206	26	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	216	192	40	7	0	4	16	44	6	25	5	208	288	307	596	99	250	20	7	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	18	ROK MLE	DSL Marlins	—	202	183	31	7	0	1	12	49	5	3	3	169	240	224	464	55	216	24	6	206	26	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	216	192	40	7	0	4	16	44	6	25	5	208	288	307	596	99	250	20	7	272	70	—	—	—	—	—	—
▸ 2026 season
2026	20	MLB MLE	MIA	0%	15	14	3	1	0	0	1	4	0	0	0	214	267	286	552	71	283	27	7	276	73	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	MIA	34%	259	236	53	10	1	5	18	62	3	6	1	225	288	339	627	114	284	24	7	286	79	-6	+1	+0	+1	+6	0.1
2028	22	MLB MLE	MIA	48%	371	336	78	14	2	8	27	87	5	9	2	232	299	357	656	125	286	23	7	292	84	-7	+1	+0	+1	+8	0.3
2029	23	MLB MLE	MIA	54%	446	404	94	17	2	10	33	104	6	11	3	233	300	359	659	126	287	23	7	296	87	-7	+1	+0	+2	+10	0.5
2030	24	MLB MLE	MIA	55%	494	447	105	19	3	11	37	115	7	12	3	235	303	365	668	130	288	23	7	299	88	-7	+1	+0	+2	+11	0.7
2031	25	MLB MLE	MIA	56%	522	471	111	20	3	12	39	121	7	13	3	236	304	367	671	132	288	23	7	299	89	-7	+1	+0	+2	+11	0.8
2032	26	MLB MLE	MIA	56%	538	486	114	21	3	12	40	124	7	13	3	235	302	364	666	130	288	23	7	300	89	-7	+1	+0	+2	+12	0.8
2033	27	MLB MLE	MIA	55%	543	490	114	21	3	12	41	126	7	13	3	233	301	361	662	129	288	23	8	300	89	-7	+1	+0	+2	+12	0.8
2034	28	MLB MLE	MIA	55%	541	487	114	21	3	12	42	126	7	13	3	234	304	363	668	129	287	23	8	299	88	-8	+1	-1	+2	+12	0.7
2035	29	MLB MLE	MIA	53%	534	481	112	20	3	12	41	126	7	12	3	233	302	362	664	129	286	24	8	297	87	-8	+1	-1	+2	+12	0.5
2036	30	MLB MLE	MIA	53%	524	471	108	20	2	11	41	125	7	12	3	229	301	350	651	121	285	24	8	294	85	-9	+1	-2	+2	+11	0.3
2037	31	MLB MLE	MIA	57%	511	459	104	19	2	11	40	123	7	11	3	227	298	349	647	122	282	24	8	289	82	-11	+1	-3	+2	+11	0.0
2027	21	MLB CTX	MIA	34%	89	82	18	3	0	2	6	21	1	2	1	220	281	329	610	110	277	24	7	268	79	-2	+0	+0	+0	+2	0.0
2028	22	MLB CTX	MIA	48%	180	163	37	6	1	4	13	42	2	4	1	227	292	350	642	123	278	23	7	275	84	-3	+0	+0	+1	+4	0.1
2029	23	MLB CTX	MIA	54%	242	219	50	9	1	5	18	56	3	6	1	228	296	347	643	119	279	23	7	279	87	-4	+1	+0	+1	+5	0.3
2030	24	MLB CTX	MIA	55%	274	248	56	10	1	6	20	64	4	7	2	226	294	347	641	121	280	23	7	281	88	-4	+1	+0	+1	+6	0.4
2031	25	MLB CTX	MIA	56%	292	264	61	11	2	6	22	68	4	7	2	231	300	356	656	125	280	23	8	282	89	-4	+1	+0	+1	+6	0.4
2032	26	MLB CTX	MIA	56%	303	273	63	11	2	7	23	70	4	7	2	231	300	363	663	132	280	23	8	282	89	-4	+1	+0	+1	+7	0.4
2033	27	MLB CTX	MIA	55%	300	270	63	11	2	7	23	70	4	7	2	233	303	367	670	133	280	23	8	282	89	-4	+1	+0	+1	+6	0.4
2034	28	MLB CTX	MIA	55%	297	268	60	11	1	6	23	69	4	7	2	224	295	340	634	116	279	23	8	281	88	-4	+1	-0	+1	+6	0.4
2035	29	MLB CTX	MIA	53%	285	257	57	10	1	6	22	67	4	7	2	222	293	339	632	117	278	24	8	279	87	-4	+1	-1	+1	+6	0.3
2036	30	MLB CTX	MIA	53%	276	249	56	10	1	6	21	66	4	6	2	225	296	345	641	120	277	24	8	276	85	-5	+0	-1	+1	+6	0.1
2037	31	MLB CTX	MIA	57%	289	261	57	10	1	6	22	70	4	6	2	218	289	333	623	115	274	24	8	272	82	-6	+0	-2	+1	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2827	2554	578	102	13	61	213	663	38	66	19	226	296	348	644	122	281	23	8	279	84	-45	+6	-4	+10	+61	2.9
/ 162G	—	A+C		—	650	587	132	23	3	14	49	152	9	15	4	225	295	346	640	121	278	23	8	279	84	-10	+1	-1	+2	+14	0.7
Career	—	MLE		—	5716	5158	1181	217	27	121	428	1336	81	153	38	229	298	352	650	123	284	23	7	292	84	-86	+13	-7	+19	+115	5.5
/ 162G	—	MLE		—	650	587	135	25	3	14	49	152	9	17	4	230	300	354	654	124	285	23	8	292	84	-11	+2	-1	+2	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.5	3,011	65	71	232	297	358	+11	+4	5.0	4.5
/162	664	14	16	+2.4	+0.8	1.1	pk7: 4
#4Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#6Nick 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

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
Diwarys Encarnacion (OGILVIE)	20	50	45	60	45	220/283/322	102	283	3	4	24%	7%	73	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕James Triantos 2023 · A	20	48→56	42→45	53→60	41	234/277/341	106	294	10	12	24%	5%	74	-0.6	244/290/338	94	290	7	24	18%	5%	78	-0.3	258/299/357	99	298	7	36	16%	4%	83	+0.1
✕Cayden Wallace 2023 · A	21	46→48	42→50	56→50	42	223/275/338	115	301	9	15	28%	6%	72	-0.7	214/270/329	115	284	10	12	27%	6%	69	-0.9	226/275/366	139	277	16	14	24%	5%	77	-0.3
✕Adan Velazquez 2010 · A	20	44→52	43→45	54→50	43	215/277/331	116	278	9	11	25%	6%	72	-0.7	207/259/299	92	291	6	10	29%	5%	58	-1.7	232/277/328	96	293	7	7	23%	5%	68	-0.4
✕Cody Freeman 2022 · A	21	43→53	41→50	53→50	48	209/283/307	98	259	8	11	22%	8%	70	-0.9	206/261/321	115	251	13	9	23%	6%	63	-1.3	248/292/385	137	277	15	10	16%	5%	89	+0.4
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Forrest Wall 2016 · A	20	47→55	42→45	57→70	46	225/280/336	111	286	8	18	24%	7%	74	-0.6	219/272/313	94	293	8	18	26%	6%	65	-1.2	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Tito Polo 2015 · A	20	45→54	40→45	55→60	40	215/275/310	96	298	6	17	29%	6%	66	-1.1	221/275/319	98	295	8	26	26%	5%	68	-1.0	234/289/348	114	310	11	32	27%	5%	77	-0.2
✕Evan Van Hoosier 2015 · A	21	46→47	44→50	56→50	44	227/279/354	127	284	10	10	23%	6%	78	-0.3	229/273/336	107	306	6	9	26%	5%	70	-0.8	232/274/341	110	322	5	10	28%	4%	70	-0.3
✕Ceddanne Rafaela 2021 · A	20	41→51	42→55	52→55	41	203/255/306	103	257	10	13	25%	5%	58	-1.7	228/267/375	147	291	14	19	26%	4%	78	-0.3	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Christian Lopes 2013 · A	20	42→51	42→45	53→50	42	207/256/324	117	265	8	8	25%	5%	62	-1.4	207/261/285	78	263	4	4	22%	6%	55	-2.0	214/297/334	120	267	12	13	23%	9%	79	-0.1
●Jahmai Jones 2018 · A	20	48→50	42→50	51→50	43	233/284/342	109	297	9	16	24%	6%	77	-0.3	208/268/307	99	274	8	13	26%	7%	63	-1.4	248/345/422	173	324	16	18	26%	11%	114	+1.3
✕Darell Hernaiz 2022 · A	20	47→57	39→45	50	42	226/272/299	73	289	7	15	24%	5%	62	-1.4	245/292/349	104	301	10	17	21%	6%	81	-0.1	253/310/346	93	295	7	12	16%	7%	85	+0.2
✕Dilson Herrera 2013 · A	19	44→54	43→50	51→50	43	214/269/331	117	274	9	13	25%	6%	69	-0.9	238/288/366	128	310	12	12	26%	6%	84	+0.1	254/305/388	134	310	14	13	22%	6%	92	+0.7
✕Manuel Joseph 2014 · A	20	49	40→45	51→50	44	234/287/326	92	283	6	16	20%	5%	74	-0.5	246/305/362	116	287	10	14	17%	6%	89	+0.5	277/338/426	150	303	14	17	13%	6%	118	+1.1
✕Sean Henry 2006 · A	20	42→52	43→50	55	42	204/270/313	108	299	11	15	34%	8%	65	-1.2	227/282/353	126	289	11	19	24%	6%	78	-0.3	248/301/372	124	296	11	17	19%	6%	87	+0.3
✕Ryan Brett 2012 · A	20	48→57	40→45	57→60	47	227/276/330	103	266	5	18	16%	6%	70	-0.8	249/292/350	101	305	7	26	20%	5%	81	-0.1	262/302/367	105	319	8	30	20%	5%	86	+0.2
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	197/265/289	92	278	8	16	30%	8%	58	-1.7	238/299/342	104	319	7	24	25%	8%	82	+0.0	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Wes Rogers 2015 · A	21	45→51	41→40	57→65	42	217/271/315	97	295	9	18	28%	6%	65	-1.2	224/281/312	88	298	5	34	25%	7%	69	-0.9	227/285/318	91	299	5	42	24%	6%	69	-0.7
✕Eliezer Álvarez 2015 · A	20	43→53	40→45	54→55	44	206/262/313	106	260	6	11	22%	6%	61	-1.5	245/294/353	108	322	5	15	24%	6%	82	+0.0	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Christian Villanueva 2012 · A	21	44→46	43→55	53→50	40	217/263/333	116	270	11	16	24%	5%	67	-1.1	216/266/341	125	279	12	9	27%	5%	70	-0.8	223/280/397	174	256	23	3	23%	6%	88	+0.3

Career Stats + Projections

Career Comps

Career Path Comps