Aneudi Escanio — OGILVIE

Aneudi EscanioSS FCL Blue Jays

Age 21 S/R 5'9" / 150 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 61 proj PA

wRC+†60

AVG/OBP/SLG.195 / .264 / .296

PA5

HR0

K%32

BB%8

ISO102

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Tools · Contract

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.8M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	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)
2022	17	ROK	DSL Blue Jays	—	74	64	12	2	0	0	7	21	1	2	4	188	278	219	497	31	267	28	9	233	44	-5	-1	—	—	+2	-0.5
2023	18	ROK	DSL Blue Jays	—	125	107	28	9	6	2	13	20	3	2	2	262	358	514	872	252	302	16	10	373	139	+6	-0	—	—	+3	0.8
2024	19	ROK	FCL Blue Jays	—	108	85	10	2	2	0	22	37	0	3	4	118	299	188	487	71	204	34	20	246	53	-6	-1	—	—	+2	-0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Blue Jays	—	74	67	9	1	0	0	4	30	1	2	4	134	194	149	344	15	218	41	5	164	-3	-9	-1	—	—	+2	-0.9
2023	18	ROK MLE	DSL Blue Jays	—	125	112	21	6	5	1	8	28	3	2	2	188	260	357	617	170	222	22	6	260	62	-6	-0	—	—	+3	-0.3
2024	19	ROK MLE	FCL Blue Jays	—	108	94	6	1	1	0	13	53	0	3	4	64	178	96	273	32	151	49	12	149	-13	-15	-1	—	—	+2	-1.3
2022	17	ROK MLE	DSL Blue Jays	—	74	67	9	1	0	0	4	30	1	2	4	134	194	149	344	15	231	41	5	164	-3	—	—	—	—	—	—
2022	17	ROK RAW	DSL Blue Jays	—	74	64	12	2	0	0	7	21	1	2	4	188	278	219	497	31	267	28	9	233	-3	—	—	—	—	—	—
2023	18	ROK MLE	DSL Blue Jays	—	125	112	21	6	5	1	8	28	3	2	2	188	260	357	617	170	238	22	6	260	62	—	—	—	—	—	—
2023	18	ROK RAW	DSL Blue Jays	—	125	107	28	9	6	2	13	20	3	2	2	262	358	514	872	252	302	16	10	373	62	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	108	94	6	1	1	0	13	53	0	3	4	64	178	96	273	32	143	49	12	149	-13	—	—	—	—	—	—
2024	19	ROK RAW	FCL Blue Jays	—	108	85	10	2	2	0	22	37	0	3	4	118	299	188	487	71	204	34	20	246	-13	—	—	—	—	—	—
2022	17	ROK MLE	DSL Blue Jays	—	74	69	9	1	0	0	4	30	1	2	4	130	194	145	339	14	218	41	5	164	-3	—	—	—	—	—	—
2023	18	ROK MLE	DSL Blue Jays	—	125	113	21	6	5	1	8	28	3	2	2	186	260	354	614	168	222	22	6	260	62	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	108	94	6	1	1	0	13	53	0	3	4	64	178	96	273	32	151	49	12	149	-13	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Blue Jays	—	125	113	21	6	5	1	8	28	3	2	2	186	260	354	614	168	222	22	6	260	62	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	108	94	6	1	1	0	13	53	0	3	4	64	178	96	273	32	151	49	12	149	-13	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	TOR	0%	5	5	1	0	0	0	0	2	0	0	0	200	200	200	400		286	40	0	256	60	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TOR	34%	116	105	22	4	2	2	9	35	1	1	0	210	278	343	621	133	288	30	8	268	67	-5	+0	+0	+1	+3	-0.1
2028	23	MLB MLE	TOR	48%	251	227	47	9	3	4	20	75	2	3	1	207	277	326	603	119	289	30	8	276	73	-8	+0	+0	+3	+5	0.0
2029	24	MLB MLE	TOR	53%	349	315	67	13	4	6	28	102	3	4	1	213	283	337	620	124	291	29	8	281	77	-10	+0	+0	+4	+8	0.2
2030	25	MLB MLE	TOR	55%	410	370	79	15	5	8	33	119	4	5	2	214	285	346	631	132	291	29	8	285	79	-10	+0	+0	+4	+9	0.3
2031	26	MLB MLE	TOR	56%	448	405	87	17	5	9	36	130	4	6	2	215	285	348	634	133	291	29	8	286	80	-11	+0	+0	+5	+10	0.4
2032	27	MLB MLE	TOR	55%	466	420	91	17	6	10	38	136	5	6	2	217	289	357	647	140	291	29	8	286	80	-11	+0	+0	+5	+10	0.4
2033	28	MLB MLE	TOR	55%	474	427	92	17	6	10	39	139	5	6	2	215	289	354	642	138	290	29	8	285	79	-12	+0	-1	+5	+10	0.3
2034	29	MLB MLE	TOR	53%	472	425	90	17	6	9	39	139	5	5	2	212	286	344	629	132	290	29	8	284	78	-12	+0	-1	+5	+10	0.2
2035	30	MLB MLE	TOR	53%	466	419	88	17	5	9	39	139	5	5	1	210	285	339	624	129	289	30	8	281	76	-13	+1	-2	+5	+10	0.0
2027	22	MLB CTX	TOR	34%	40	37	8	1	1	1	3	12	0	0	0	216	275	378	653	162	290	30	8	262	67	-2	+0	+0	+0	+1	-0.0
2028	23	MLB CTX	TOR	48%	122	110	23	4	2	2	10	36	1	2	0	209	281	336	617	127	291	30	8	270	73	-4	+0	+0	+1	+3	0.0
2029	24	MLB CTX	TOR	53%	184	165	35	7	2	3	15	54	2	2	1	212	286	333	619	121	292	29	8	275	77	-5	+0	+0	+2	+4	0.1
2030	25	MLB CTX	TOR	55%	224	202	43	8	3	4	18	65	2	3	1	213	284	342	625	129	293	29	8	279	79	-6	+0	+0	+2	+5	0.2
2031	26	MLB CTX	TOR	56%	249	225	48	9	3	5	20	72	2	3	1	213	283	347	630	133	293	29	8	280	80	-6	+0	+0	+3	+5	0.2
2032	27	MLB CTX	TOR	55%	256	230	49	9	3	5	21	75	3	3	1	213	287	343	631	130	293	29	8	280	80	-6	+0	+0	+3	+6	0.2
2033	28	MLB CTX	TOR	55%	259	233	49	9	3	5	21	76	3	3	1	210	284	339	623	129	292	29	8	279	79	-6	+0	-0	+3	+6	0.2
2034	29	MLB CTX	TOR	53%	252	227	48	9	3	5	21	74	2	3	1	211	284	344	628	132	292	29	8	278	78	-7	+0	-1	+3	+5	0.1
2035	30	MLB CTX	TOR	53%	245	221	47	9	3	5	20	73	2	2	1	213	284	348	632	136	291	30	8	275	76	-7	+0	-1	+3	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1831	1650	350	65	23	35	149	537	17	21	7	212	284	343	627	131	290	29	8	277	73	-48	+1	-2	+20	+40	1.0
/ 162G	—	A+C		—	650	586	124	23	8	12	53	191	6	7	2	212	284	340	623	128	290	29	8	277	73	-17	+0	-1	+7	+14	0.4
Career	—	MLE		—	3764	3391	700	134	48	68	306	1127	38	48	23	206	280	334	614	128	285	30	8	276	73	-92	+3	-4	+37	+75	1.9
/ 162G	—	MLE		—	650	586	121	23	8	12	53	195	7	8	4	206	281	334	615	128	285	30	8	276	73	-17	+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
#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
#3Adam 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
#4Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.8	1,892	36	22	214	283	346	+20	+18	2.3	2.3
/162	664	13	8	+7.1	+6.3	0.8	pk7: 2
#5Ryan 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
#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
Aneudi Escanio (OGILVIE)	21	—	—	—	—	195/264/296	101	286	1	1	32%	8%	60	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Allan Castro 2023 · A	20	38→44	40→45	54→50	40	185/249/285	100	275	6	9	34%	7%	51	-2.2	203/274/314	111	281	9	13	29%	8%	68	-1.0	202/276/313	110	274	9	14	28%	9%	65	-1.0
✕C.J. Beatty 2010 · A	21	40	42→45	52→40	41	198/253/297	98	278	9	9	31%	7%	55	-2.0	209/270/324	115	297	9	5	31%	7%	68	-1.0	202/267/332	130	282	11	2	30%	8%	65	-0.7
✕Jose Marquez 2019 · A	21	43	42→50	48→50	39	212/256/319	107	280	8	7	27%	5%	61	-1.5	211/260/312	101	308	9	8	33%	5%	61	-1.5	129/202/216	87	206	15	12	43%	7%	16	-0.8
✕Riley Unroe 2017 · A	21	41→48	36→45	46→55	43	195/257/255	61	273	4	12	29%	7%	47	-2.6	200/267/276	76	287	5	12	30%	8%	55	-1.9	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Marcus Littlewood 2013 · A	21	40	40→45	48→45	41	198/249/288	90	271	8	7	29%	6%	51	-2.2	198/267/305	107	269	9	5	28%	8%	62	-1.4	204/271/311	107	262	9	4	25%	8%	63	-0.7
✕Angel Martínez 2022 · A	20	42→47	41→50	50	44	203/259/304	102	267	7	10	26%	7%	59	-1.7	221/283/344	123	281	11	10	24%	7%	77	-0.3	231/280/377	146	276	15	12	22%	5%	83	+0.1
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Addison Barger 2021 · A	21	41→45	39→55	49→45	44	198/267/288	90	270	6	5	28%	7%	59	-1.7	212/274/363	151	314	18	7	36%	7%	79	-0.2	218/289/380	162	269	18	6	25%	8%	85	+0.2
✕Parker Meadows 2021 · A	21	39→47	41→55	46→55	42	195/250/286	91	268	9	9	30%	6%	51	-2.2	201/262/331	130	269	14	13	29%	7%	67	-1.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Arquímedes Gamboa 2019 · A	21	41→45	37→40	48→50	44	198/260/271	72	274	5	7	28%	7%	51	-2.2	184/259/260	76	272	5	14	31%	9%	49	-2.4	199/285/288	89	292	7	15	31%	10%	63	-0.8
✕Reed Trimble 2022 · A	22	43	37→50	51→65	41	200/266/271	71	309	5	10	34%	8%	54	-2.0	217/280/311	94	307	7	17	29%	8%	68	-1.0	207/277/376	169	263	19	31	28%	8%	82	+0.0
✕Niko Goodrum 2013 · A	21	40→50	39→55	52→55	42	193/256/287	94	283	5	7	32%	7%	53	-2.1	210/277/296	86	310	5	17	31%	8%	63	-1.3	240/314/421	180	324	18	16	30%	9%	104	+1.0
✕Alan Schoenberger 2010 · A	21	39	37→45	49→45	41	186/247/260	75	289	3	8	35%	7%	44	-2.8	196/246/286	90	292	6	6	33%	6%	49	-2.4	184/232/270	86	270	6	5	33%	5%	38	-1.6
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Leandro Pineda 2023 · A	21	36→46	39→45	47→45	42	172/250/266	94	272	5	6	36%	8%	48	-2.5	200/267/315	115	279	11	6	30%	7%	65	-1.2	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Brainer Bonaci 2022 · A	20	40→44	39→45	53→50	43	195/254/284	89	269	5	13	28%	7%	53	-2.1	216/286/322	106	302	9	13	29%	9%	74	-0.6	216/290/325	109	297	11	14	29%	9%	73	-0.4
✕Rosell Herrera 2013 · A	20	40→50	37→45	48→55	41	195/245/269	75	266	5	9	28%	6%	45	-2.7	236/283/325	89	313	8	10	26%	6%	72	-0.7	247/301/337	90	312	4	24	21%	7%	79	-0.1
✕Jean Batista 2012 · A	20	43	40→55	50→45	36	208/238/300	92	279	7	8	28%	4%	49	-2.4	219/244/339	120	282	10	7	26%	3%	61	-1.5	224/238/371	147	277	12	6	24%	1%	63	-0.4
✕Sandy León 2010 · A	21	39→49	35→45	45→30	41	188/242/243	55	269	3	5	30%	6%	38	-3.2	218/274/301	83	294	5	3	26%	7%	63	-1.3	237/298/344	107	301	10	0	24%	7%	79	-0.1
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3

Career Stats + Projections

Career Comps

Career Path Comps