Yorger Bautista — OGILVIE

Yorger BautistaOF ACL Mariners

Age 18 L/L 6'1" / 176 lbs ROK K +7%HR -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION347 act + 9 ros · stats below = ROS only

showingROS

wRC+†64

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%33

BB%6

BABIP278

ISO135

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · ContractCON 40 / POW 57

Toolsscout grade

CONTACT40

scouting grade only

POWER57

scouting grade only

EYE42

scouting grade only

SPEED58

scouting grade only

DEFENSE53

scouting grade only

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	+0.5	$1M	+$0.8M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Arb-1	$3M	+0.7	$2M	+$0.1M
2035	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2036	Arb-3	$7M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$8M	+$3M

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)
2025	17	ROK	DSL Mariners	—	225	193	43	8	3	7	21	67	9	10	0	223	326	404	730	181	300	30	9	327	107	+2	+2	—	—	+5	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Mariners	—	225	202	30	5	2	5	13	96	9	10	0	149	232	267	499	119	243	43	6	222	36	-17	+2	—	—	+5	-1.0
2025	17	ROK MLE	DSL Mariners	—	225	202	30	5	2	5	13	96	9	10	0	149	232	267	499	119	245	43	6	222	36	—	—	—	—	—	—
2025	17	ROK RAW	DSL Mariners	—	225	193	43	8	3	7	21	67	9	10	0	223	326	404	730	181	300	30	9	327	36	—	—	—	—	—	—
2025	17	ROK MLE	DSL Mariners	—	225	201	30	5	2	5	13	96	9	10	0	149	232	269	501	119	243	43	6	222	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Mariners	—	225	201	30	5	2	5	13	96	9	10	0	149	232	269	501	119	243	43	6	222	36	—	—	—	—	—	—
YTD	18	ROK MLE	SEA	—	347	325	62	10	3	7	17	129	1	12	3	191	233	305	538	114	285	37	5	234	44	-23	+1	+0	-2	+8	-1.7
▸ 2026 season
YTD	18	ROK RAW	SEA	—	249	223	63	11	4	9	23	61	0	9	2	283	350	489	838	206	346	24	9	364	44	—	—	—	—	—	—
YTD	18	A RAW	SEA	—	98	92	21	4	0	1	4	31	1	3	1	228	268	304	572	76	328	32	4	257	44	—	—	—	—	—	—
ROS	18	ROK MLE	SEA	0%	9	9	1	0	0	0	0	3	0	0	0	111	111	111	222		281	33	0	262	64	-0	+0	-0	-0	+0	-0.0
TOT	18	ROK MLE	SEA	—	356	334	63	10	3	7	17	132	1	12	3	189	230	299	530	111	281	37	5	235	45	-23	+1	-0	-2	+8	-1.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	SEA	34%	377	348	76	13	3	11	22	113	4	8	2	218	273	368	641	149	286	30	6	281	76	-11	+1	-0	-2	+8	-0.4
2028	20	MLB MLE	SEA	48%	472	435	98	17	3	15	29	136	5	10	3	225	281	382	663	156	289	29	6	294	85	-8	+1	-0	-3	+10	-0.1
2029	21	MLB MLE	SEA	54%	529	484	110	19	3	18	34	149	6	12	3	227	286	390	677	163	290	28	6	302	91	-6	+1	-0	-3	+11	0.3
2030	22	MLB MLE	SEA	57%	571	522	122	21	4	21	37	159	7	13	3	234	293	410	703	176	291	28	6	308	95	-4	+1	-1	-3	+12	0.6
2031	23	MLB MLE	SEA	58%	617	564	133	23	4	23	41	170	7	14	4	236	296	413	709	177	292	28	7	312	97	-2	+1	-1	-4	+13	0.9
2032	24	MLB MLE	SEA	57%	633	578	136	23	4	24	42	174	8	15	4	235	296	413	710	178	293	27	7	315	99	-1	+1	-1	-4	+14	1.0
2033	25	MLB MLE	SEA	57%	638	582	139	24	4	25	43	175	8	15	4	239	300	423	723	184	293	27	7	316	100	+0	+1	-1	-4	+14	1.1
2034	26	MLB MLE	SEA	57%	642	586	139	24	4	25	43	176	8	15	4	237	298	420	718	183	293	27	7	317	101	+0	+1	-1	-4	+14	1.2
2035	27	MLB MLE	SEA	55%	639	582	137	23	4	25	44	176	8	15	4	235	298	418	716	182	292	28	7	317	101	+1	+1	-1	-4	+14	1.2
2036	28	MLB MLE	SEA	55%	632	575	136	23	4	25	44	175	8	15	4	237	300	421	721	184	292	28	7	316	100	-0	+1	-1	-4	+14	1.0
2037	29	MLB MLE	SEA	53%	621	566	132	22	4	24	43	173	7	14	3	233	295	413	709	180	291	28	7	314	99	-1	+2	-2	-4	+13	0.9
2038	30	MLB MLE	SEA	57%	610	555	130	22	4	23	43	171	7	13	3	234	298	413	710	178	290	28	7	311	97	-2	+1	-3	-4	+13	0.6
2039	31	MLB MLE	SEA	60%	595	542	124	21	3	22	41	169	7	12	3	229	292	400	692	172	287	28	7	307	94	-4	+1	-3	-4	+13	0.3
2027	19	MLB CTX	SEA	34%	130	120	26	4	1	4	8	39	1	3	1	217	271	367	638	150	283	30	6	271	76	-4	+0	-0	-1	+3	-0.2
2028	20	MLB CTX	SEA	48%	229	210	47	8	2	7	14	66	3	5	1	224	282	381	663	157	286	29	6	282	85	-4	+1	-0	-1	+5	-0.0
2029	21	MLB CTX	SEA	54%	287	264	60	10	2	10	18	81	3	6	2	227	284	394	678	167	287	28	6	290	91	-3	+0	-0	-2	+6	0.2
2030	22	MLB CTX	SEA	57%	323	295	68	12	2	11	21	90	4	7	2	231	291	397	687	166	288	28	7	296	95	-2	+1	-0	-2	+7	0.3
2031	23	MLB CTX	SEA	58%	355	325	75	13	2	13	23	98	4	8	2	231	290	403	693	172	289	28	6	300	97	-1	+1	-0	-2	+8	0.5
2032	24	MLB CTX	SEA	57%	361	330	77	13	2	14	24	99	4	9	2	233	293	412	705	179	290	27	7	302	99	-0	+1	-0	-2	+8	0.6
2033	25	MLB CTX	SEA	57%	362	331	77	13	2	14	24	99	4	9	2	233	292	411	703	178	290	27	7	304	100	+0	+1	-0	-2	+8	0.7
2034	26	MLB CTX	SEA	57%	363	332	77	13	2	14	24	100	4	9	2	232	292	410	701	178	290	28	7	304	101	+0	+1	-0	-2	+8	0.7
2035	27	MLB CTX	SEA	55%	355	324	76	13	2	14	24	98	4	8	2	235	295	417	712	182	290	28	7	304	101	+0	+1	-0	-2	+8	0.6
2036	28	MLB CTX	SEA	55%	347	316	73	12	2	13	24	96	4	8	2	231	294	405	699	174	289	28	7	303	100	-0	+1	-1	-2	+8	0.6
2037	29	MLB CTX	SEA	53%	332	302	70	12	2	12	23	92	4	7	2	232	295	404	699	172	288	28	7	302	99	-1	+1	-1	-2	+7	0.4
2038	30	MLB CTX	SEA	57%	348	317	73	12	2	13	24	98	4	8	2	230	293	404	697	174	287	28	7	299	97	-1	+1	-2	-2	+8	0.3
2039	31	MLB CTX	SEA	60%	355	323	73	12	2	13	25	101	4	7	2	226	290	396	686	170	284	28	7	295	94	-3	+1	-2	-2	+8	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4147	3789	872	147	25	152	276	1157	47	94	24	230	291	402	693	172	288	28	7	298	94	-18	+9	-8	-25	+90	4.9
/ 162G	—	A+C		—	650	594	137	23	4	24	43	181	7	15	4	231	290	404	694	173	288	28	7	298	94	-3	+1	-1	-4	+14	0.8
Career	—	MLE		—	7810	7130	1643	280	50	286	519	2215	99	181	44	230	292	404	696	174	291	28	7	307	94	-38	+17	-14	-46	+164	8.5
/ 162G	—	MLE		—	650	593	136	23	4	24	43	184	8	15	4	229	290	403	693	174	289	28	7	307	94	-3	+1	-1	-4	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Colby Rasmuslast yr '17 career totals — 9 seasons, 4,070 PA	6.1	4,070	165	35	242	311	438	-0	+8	16.7	16.2
/162	664	27	6	-0.0	+1.3	2.7	pk7: 16
#2Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#3Adam Duvalllast yr '24 career totals — 11 seasons, 3,723 PA	5.6	3,723	195	22	227	287	459	-31	+11	11.0	11.8
/162	664	35	4	-5.5	+2.0	2.0	pk7: 13
#4Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#5Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.6	4,414	161	100	234	291	408	-26	+11	8.1	7.0
/162	664	24	15	-4.0	+1.7	1.2	pk7: 6
#6Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5

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
Yorger Bautista (OGILVIE)	18	20→40	35→57	60→58	42	205/254/330	124	281	6	7	31%	5%	64	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Enmanuel Valdez 2017 · A	18	40→46	43→55	51→45	46	198/264/316	118	245	9	7	23%	7%	64	-1.3	188/251/299	111	251	9	7	28%	7%	55	-2.0	219/282/397	178	265	23	8	27%	7%	88	+0.3
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Ronny Ugarte 2023 · A	18	42	44→45	47→30	43	207/277/335	127	282	11	6	29%	7%	74	-0.6	230/289/339	109	300	8	5	24%	7%	78	-0.3	252/312/362	110	332	10	2	25%	7%	89	+0.2
●Gabriel Gonzalez 2022 · A	18	43→53	46→50	51→45	43	216/277/350	134	270	12	10	25%	6%	77	-0.3	235/294/358	123	286	13	8	22%	5%	85	+0.2	253/307/381	128	303	13	6	20%	5%	92	+0.6
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
●Jesús Sánchez 2016 · A	18	48→52	41→60	55→50	43	232/272/335	103	278	7	8	19%	5%	70	-0.9	243/273/369	126	310	12	5	25%	4%	78	-0.3	253/320/456	203	316	25	4	27%	8%	113	+1.7
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕Jose Escobar 2023 · A	18	45→55	43→45	57→45	40	220/270/339	119	285	9	15	26%	5%	71	-0.8	223/290/326	103	293	9	12	26%	7%	76	-0.4	233/299/331	99	302	8	8	24%	7%	78	-0.2
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	219/296/333	114	288	7	10	25%	9%	80	-0.2	198/270/312	114	300	8	13	34%	9%	65	-1.2	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/269/291	91	259	7	13	25%	8%	60	-1.6	202/254/274	72	296	2	25	30%	6%	49	-2.4	242/294/410	167	331	20	27	32%	6%	94	+0.4
●Esmerlyn Valdez 2022 · A	18	42→43	45→55	48→30	39	205/275/323	119	306	12	7	35%	7%	70	-0.8	194/272/316	122	299	13	5	37%	8%	68	-1.0	202/297/392	190	283	25	2	36%	10%	92	+0.6
●Rougned Odor 2013 · A	19	44→53	42→60	49→50	41	216/256/323	107	257	9	12	20%	4%	61	-1.5	245/288/380	135	289	12	14	19%	4%	87	+0.4	256/296/440	184	284	21	10	18%	4%	101	+1.4
●Jo Adell 2018 · A	19	46	42→65	55→50	36	223/264/339	116	318	8	9	32%	4%	68	-1.0	222/272/373	151	319	16	10	34%	5%	80	-0.1	226/289/423	196	264	28	9	26%	6%	97	+1.0
✕Jarred Kelenic 2019 · A	20	45→54	43→60	57→50	42	218/277/333	115	296	10	13	29%	7%	72	-0.7	226/284/402	176	289	21	13	28%	7%	91	+0.7	223/292/404	181	286	20	15	29%	8%	92	+0.6
✕Leopoldo Correa 2010 · A	18	41	42→45	50→30	48	197/280/305	107	291	9	5	33%	10%	68	-1.0	210/272/297	87	263	6	3	21%	7%	62	-1.4	212/269/300	89	261	8	0	21%	6%	58	-0.5
✕Estevan Florial 2016 · A	18	46→54	44→50	54→60	41	222/283/347	125	322	10	12	33%	7%	78	-0.3	212/271/329	117	349	11	13	39%	7%	69	-0.9	208/278/361	153	307	17	29	36%	8%	78	-0.3
●Josue De Paula 2023 · A	18	51	43→50	50→55	51	244/315/357	114	300	9	14	21%	9%	92	+0.7	228/318/325	97	308	8	17	26%	11%	86	+0.3	228/320/369	141	283	16	24	24%	11%	94	+0.8
●Davis Schneider 2018 · A	19	40→43	41→55	48→50	50	195/275/298	102	255	8	6	26%	9%	64	-1.3	195/268/291	96	304	8	7	35%	8%	60	-1.6	209/318/396	187	271	23	9	30%	12%	102	+1.1
✕Matthew Sweeney 2007 · A	19	48→40	44→50	54→45	46	231/295/357	127	283	10	6	22%	7%	84	+0.2	223/274/366	143	278	15	5	25%	6%	79	-0.2	206/259/340	134	268	14	3	28%	6%	66	-0.7

Career Stats + Projections

Career Comps

Career Path Comps