Anyelo Encarnación

Anyelo EncarnaciónSS Peoria Chiefs

Age 22 R/R 6'0" / 164 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION281 act + 9 ros · stats below = ROS only

showingROS

wRC+†56

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%44

BB%11

BABIP281

ISO87

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 25 / POW 35

Toolsscout grade

CONTACT25

scouting grade only

POWER35

scouting grade only

EYE60

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$0.8M	—	—	—
2034	Arb-2	$0.7M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$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	17	ROK	DSL Cardinals Blue	—	144	122	25	3	3	1	22	48	0	4	3	205	326	303	630	98	329	33	15	295	85	-2	-0	—	—	+3	0.0
2022	18	ROK	DSL Cardinals	—	138	99	32	5	4	1	33	29	3	15	3	323	504	485	989	162	437	21	24	435	181	+13	+2	—	—	+3	1.8
2023	19	ROK	FCL Cardinals	—	136	112	23	5	2	2	19	36	3	6	1	205	336	339	675	134	280	26	14	308	95	-1	+1	—	—	+3	0.3
2024	20	A+	Peoria Chiefs	—	88	72	15	5	1	1	13	28	1	1	3	208	337	347	684	139	318	32	15	309	95	-1	-1	—	—	+2	0.0
2024	20	A	Palm Beach Cardinals	—	209	181	39	6	0	2	24	54	3	7	3	215	317	282	599	66	296	26	11	282	77	-6	+0	—	—	+5	-0.1
2024	20	ROK	FCL Cardinals	—	57	47	12	1	0	3	10	23	0	4	0	255	386	468	854	213	429	40	18	381	144	+3	+1	—	—	+1	0.5
2025	21	A+	Peoria Chiefs	—	122	114	25	4	0	2	7	37	1	5	1	219	270	307	578	88	307	30	6	263	64	-5	+1	—	—	+3	-0.2
2025	21	A	Palm Beach Cardinals	—	297	243	51	9	3	5	49	91	4	15	4	210	351	333	685	123	313	31	16	319	102	+1	+1	—	—	+6	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Cardinals Blue	—	144	130	18	2	2	1	14	66	0	4	3	138	222	208	430	69	261	46	10	189	14	-15	-0	—	—	+3	-1.2
2022	18	ROK MLE	DSL Cardinals	—	138	111	27	4	3	1	21	42	3	15	3	243	378	360	738	117	351	30	15	323	105	+1	+2	—	—	+3	0.6
2023	19	ROK MLE	FCL Cardinals	—	136	119	16	3	1	1	12	52	3	6	1	134	231	202	433	67	230	38	9	214	31	-11	+1	—	—	+3	-0.8
2024	20	A+ MLE	Peoria Chiefs	—	88	75	12	4	1	1	10	38	1	1	3	160	267	280	547	120	265	43	11	230	42	-6	-1	—	—	+2	-0.5
2024	20	A MLE	Palm Beach Cardinals	—	209	187	29	4	0	1	18	79	3	7	3	155	240	193	433	37	269	38	9	213	30	-17	+0	—	—	+5	-1.3
2024	20	ROK MLE	FCL Cardinals	—	57	51	8	1	0	2	6	33	0	4	0	157	246	294	540	137	337	58	11	227	40	-4	+1	—	—	+1	-0.2
2025	21	A+ MLE	Peoria Chiefs	—	122	116	20	3	0	2	5	53	1	5	1	172	213	250	463	78	280	43	4	192	16	-12	+1	—	—	+3	-0.9
2025	21	A MLE	Palm Beach Cardinals	—	297	255	40	8	2	4	37	129	4	15	4	157	274	251	525	94	297	43	12	244	51	-17	+1	—	—	+6	-1.0
2021	17	ROK MLE	DSL Cardinals Blue	—	144	130	18	2	2	1	14	66	0	4	3	138	222	208	430	69	270	46	10	189	14	—	—	—	—	—	—
2021	17	ROK RAW	DSL Cardinals Blue	—	144	122	25	3	3	1	22	48	0	4	3	205	326	303	630	98	329	33	15	295	14	—	—	—	—	—	—
2022	18	ROK MLE	DSL Cardinals	—	138	111	27	4	3	1	21	42	3	15	3	243	378	360	738	117	371	30	15	323	105	—	—	—	—	—	—
2022	18	ROK RAW	DSL Cardinals	—	138	99	32	5	4	1	33	29	3	15	3	323	504	485	989	162	437	21	24	435	105	—	—	—	—	—	—
2023	19	ROK MLE	FCL Cardinals	—	136	119	16	3	1	1	12	52	3	6	1	134	231	202	433	67	224	38	9	214	31	—	—	—	—	—	—
2023	19	ROK RAW	FCL Cardinals	—	136	112	23	5	2	2	19	36	3	6	1	205	336	339	675	134	280	26	14	308	31	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	354	313	50	9	1	4	34	149	4	12	6	160	251	233	484	73	286	42	10	219	35	—	—	—	—	—	—
2024	20	A RAW	3 teams	—	354	300	66	12	1	6	47	105	4	12	6	220	333	327	660	107	316	30	13	304	35	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	419	371	59	11	2	5	42	182	5	20	5	159	254	240	493	81	293	43	10	229	41	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	419	357	76	13	3	7	56	128	5	20	5	213	328	325	653	112	311	31	13	303	41	—	—	—	—	—	—
2021	17	ROK MLE	DSL Cardinals Blue	—	144	129	18	2	2	1	14	66	0	4	3	140	222	209	432	70	261	46	10	189	14	—	—	—	—	—	—
2022	18	ROK MLE	DSL Cardinals	—	138	113	27	4	3	1	21	42	3	15	3	239	378	354	732	115	351	30	15	323	105	—	—	—	—	—	—
2023	19	ROK MLE	FCL Cardinals	—	136	120	16	3	1	1	12	52	3	6	1	133	231	200	431	67	230	38	9	214	31	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	354	313	50	9	1	4	34	149	4	12	6	160	251	233	484	73	279	42	10	219	35	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	419	369	59	11	2	5	42	182	5	20	5	160	254	241	495	81	292	43	10	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Cardinals	—	136	120	16	3	1	1	12	52	3	6	1	133	231	200	431	67	230	38	9	214	31	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	354	313	50	9	1	4	34	149	4	12	6	160	251	233	484	73	279	42	10	219	35	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	419	369	59	11	2	5	42	182	5	20	5	160	254	241	495	81	292	43	10	229	41	—	—	—	—	—	—
YTD	22	A+ MLE	STL	—	281	242	43	8	1	7	28	121	8	19	3	178	284	306	590	128	308	43	10	262	64	-12	+3	+0	+3	+6	-0.0
▸ 2026 season
YTD	22	ROK RAW	STL	—	18	13	4	3	0	0	2	5	3	1	0	308	500	538	1.038	231	500	28	11	464	64	—	—	—	—	—	—
YTD	22	A+ RAW	STL	—	263	218	51	8	2	9	37	84	5	18	3	234	358	413	771	179	328	32	14	345	64	—	—	—	—	—	—
ROS	22	A+ MLE	STL	0%	9	8	1	0	0	0	1	4	0	0	0	125	222	125	347		282	44	11	251	56	-0	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	STL	—	290	250	44	8	1	7	29	125	8	19	3	176	282	300	582	124	306	43	10	262	63	-13	+3	+0	+3	+6	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	STL	35%	454	400	71	13	2	9	44	173	7	15	3	177	271	287	558	110	284	38	10	261	63	-20	+2	+0	+5	+10	-0.4
2028	24	MLB MLE	STL	46%	490	432	80	15	2	11	48	179	7	16	4	185	277	306	583	120	285	37	10	270	69	-18	+2	+0	+5	+11	-0.1
2029	25	MLB MLE	STL	52%	529	464	89	16	3	12	52	189	8	17	4	192	284	317	601	125	286	36	10	275	72	-18	+2	+0	+6	+11	0.1
2030	26	MLB MLE	STL	54%	551	483	93	17	3	13	55	195	8	18	4	193	286	321	607	128	286	35	10	277	74	-17	+2	+0	+6	+12	0.3
2031	27	MLB MLE	STL	54%	554	485	93	17	3	13	56	196	8	18	4	192	286	320	606	128	286	35	10	277	74	-17	+2	+0	+6	+12	0.3
2032	28	MLB MLE	STL	54%	552	483	93	17	3	13	56	196	8	17	4	193	287	321	608	128	285	36	10	277	73	-18	+2	-1	+6	+12	0.1
2033	29	MLB MLE	STL	58%	544	476	91	17	2	13	55	194	8	16	3	191	286	317	603	126	285	36	10	275	72	-18	+2	-1	+6	+12	0.0
2034	30	MLB MLE	STL	60%	534	467	87	16	2	12	54	192	8	14	3	186	282	306	588	120	284	36	10	272	70	-19	+2	-2	+6	+12	-0.2
2027	23	MLB CTX	STL	35%	157	139	25	5	1	3	15	60	2	5	1	180	269	295	564	115	283	38	10	247	63	-7	+1	+0	+2	+3	-0.1
2028	24	MLB CTX	STL	46%	227	200	37	7	1	5	22	83	3	7	2	185	276	305	581	120	284	37	10	255	69	-8	+1	+0	+2	+5	-0.1
2029	25	MLB CTX	STL	52%	273	240	45	8	1	6	27	97	4	9	2	188	280	304	585	117	285	36	10	260	72	-9	+1	+0	+3	+6	0.1
2030	26	MLB CTX	STL	54%	299	262	50	9	1	7	30	106	5	10	2	191	286	313	599	122	285	35	10	263	74	-9	+1	+0	+3	+6	0.2
2031	27	MLB CTX	STL	54%	301	263	50	9	1	7	30	107	5	10	2	190	285	312	597	122	285	36	10	263	74	-9	+1	+0	+3	+7	0.2
2032	28	MLB CTX	STL	54%	300	263	50	9	1	7	30	107	4	9	2	190	283	312	595	122	284	36	10	262	73	-10	+1	-0	+3	+6	0.1
2033	29	MLB CTX	STL	58%	314	274	52	10	1	7	32	112	5	9	2	190	286	310	596	120	284	36	10	260	72	-10	+1	-1	+3	+7	-0.0
2034	30	MLB CTX	STL	60%	320	279	52	10	1	7	33	115	5	8	2	186	284	305	589	118	283	36	10	258	70	-11	+1	-1	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2191	1920	361	67	8	49	219	787	33	67	15	188	282	308	590	120	285	36	10	259	65	-74	+7	-2	+23	+47	0.2
/ 162G	—	A+C		—	650	570	107	20	2	15	65	233	10	20	4	188	283	309	591	121	282	36	10	259	65	-22	+2	-1	+7	+14	0.0
Career	—	MLE		—	5408	4742	868	157	29	108	544	2009	77	188	47	183	278	297	574	114	287	37	10	264	65	-145	+15	-4	+45	+91	0.2
/ 162G	—	MLE		—	650	570	104	19	3	13	65	241	9	23	6	182	276	295	571	112	285	37	10	264	65	-22	+2	-1	+7	+14	0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Sandy 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
#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
#4J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#5Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.3	2,191	51	68	191	282	316	+23	+12	1.7	1.7
/162	664	15	21	+7.1	+3.6	0.5	pk7: 2
#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
Anyelo Encarnación (OGILVIE)	22	25	35	55	60	168/266/269	101	282	6	14	40%	10%	56	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Christian Cairo 2023 · A	22	39→46	39→40	53→60	49	181/288/262	81	287	6	16	35%	11%	63	-1.4	203/293/281	78	295	5	23	30%	10%	68	-1.0	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕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
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Jamari Baylor 2023 · A	22	39	42→45	50→55	42	168/279/271	104	330	9	19	46%	10%	62	-1.4	189/286/298	109	339	11	16	43%	10%	70	-0.9	181/286/299	118	297	14	20	39%	10%	68	-0.4
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/260	96	258	8	24	35%	14%	66	-1.1	190/306/293	103	293	8	20	33%	12%	76	-0.4	190/308/293	103	292	8	21	33%	12%	74	-0.3
✕Jawuan Harris 2019 · A	22	40→28	40	51→55	42	188/270/283	95	293	7	14	35%	8%	59	-1.6	164/256/247	83	313	6	19	45%	9%	47	-2.6	125/229/196	72	258	5	26	48%	10%	23	-2.1
✕Ismael Alcantara 2021 · A	22	44→29	38→45	57→50	41	201/270/281	80	317	5	16	36%	8%	58	-1.7	210/268/333	123	318	12	13	36%	6%	69	-0.9	199/258/307	108	299	12	16	35%	6%	56	-1.0
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕Fabian Pertuz 2023 · A	22	37→34	40	49→55	33	186/229/277	91	285	8	9	37%	4%	41	-3.0	175/226/265	90	273	8	12	37%	5%	38	-3.2	148/203/228	80	231	8	13	38%	5%	19	-2.4
✕Tucker Mitchell 2023 · A	22	38	43→45	51→45	35	181/259/287	106	307	11	11	42%	7%	57	-1.8	200/265/308	108	290	13	7	34%	6%	63	-1.4	190/248/282	93	268	12	5	33%	5%	49	-1.0
✕Connor Pavolony 2022 · A	22	41	40	52→40	48	195/281/291	96	301	8	10	35%	10%	65	-1.2	175/265/265	90	292	8	6	39%	10%	54	-2.0	143/238/220	77	237	7	2	39%	10%	32	-1.4
✕Braulio Vasquez 2021 · A	22	41	39→40	44→65	38	195/256/276	80	309	6	7	37%	6%	51	-2.2	207/280/301	94	303	7	30	31%	7%	67	-1.1	200/278/292	91	290	6	42	30%	7%	62	-0.6
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Robertico Medina 2016 · A	22	35	39→40	51→45	40	167/256/251	85	295	7	9	42%	9%	47	-2.5	187/276/261	74	337	5	6	41%	10%	57	-1.8	149/259/185	36	298	2	3	44%	13%	32	-1.3
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Mike Martin 2016 · A	23	40	35→30	52→55	42	183/275/240	57	297	3	13	36%	8%	52	-2.2	223/279/284	61	291	3	17	23%	6%	61	-1.5	242/289/295	53	301	2	23	19%	5%	65	-0.5
✕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
✕Sean McLain 2023 · A	22	42→34	40	51→50	40	201/272/293	92	308	8	13	35%	7%	62	-1.4	186/260/277	91	280	8	9	34%	7%	54	-2.0	169/248/255	86	251	8	11	34%	7%	42	-1.7

Career Stats + Projections

Career Comps

Career Path Comps