Yorger Bautista

OF ACL Mariners

Age 19 L/L 6'1" / 176 lbs ROK K +7%HR -5% Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

OGV OFP35OGV rank#1555ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKSEA	225	.223/.326/.404	7	10	25	—	.135/.228/.225
2026	18	A/ROKSEA	347	.267/.327/.435	10	12	46	—	.194/.236/.308
2027PROJMLE	19	MLBSEA	457	.208/.259/.324	9	9	63	-0.5
2028PROJ34% MLB	20	MLBSEA	105	.212/.266/.340	2	2	71	-0.2
2029PROJ48% MLB	21	MLBSEA	198	.218/.274/.359	5	5	79	-0.2

Next 3 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$2M+2

Skills · percentileMiLB Statcast 2026 A

Speed28

ISO20

K%17

Whiff%12

Z-Con%11

wOBA9

Career WAR0.0 WAR median (P10 -0.2 / P90 0.0, comp-based) · star 0% · didn't stick 95%

CompsCarlos Jimenez (age 19) · Estevan Florial (age 19) · Nick Pratto (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†63

AVG/OBP/SLG.206 / .257 / .321

PA210

HR4

K%29

BB%5

ISO116

MLB%0%

Value2027 · WAR

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

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
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	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Arb-1	$2M	+0.5	$1M	+$0.0M
2035	Arb-2	$4M	+0.4	$0.9M	+$0.0M (cut)
2036	Arb-3	$4M	+0.3	$0.6M	+$0.0M (cut)
Totals		$5M		$5M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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	25	—	—	—	—	—	—
2026	18	A	Inland Empire 66ers	—	98	92	21	4	0	1	4	31	1	3	1	228	268	304	572	76	328	32	4	257	17	—	—	—	—	—	—
2026	18	ROK	ACL Mariners	—	249	223	63	11	4	9	23	61	0	9	2	283	350	489	838	206	346	24	9	364	58	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Mariners	—	225	200	27	5	2	3	15	81	9	10	0	135	228	225	453	90	200	36	7	205	25	—	—	—	—	—	—
2026	18	A MLE	Inland Empire 66ers	—	98	93	17	3	0	1	3	42	1	3	1	183	216	247	464	65	297	43	3	193	17	—	—	—	—	—	—
2026	18	ROK MLE	ACL Mariners	—	249	232	46	7	3	6	14	88	0	9	2	198	244	332	576	134	279	35	6	254	58	—	—	—	—	—	—
2025	17	ROK MLE	DSL Mariners	—	225	200	27	5	2	3	15	81	9	10	0	135	228	225	453	90	205	36	7	205	25	—	—	—	—	—	—
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	25	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	347	325	63	10	3	7	17	130	1	12	3	194	236	308	544	114	292	37	5	237	46	—	—	—	—	—	—
2026	18	ROK RAW	2 teams	—	347	315	84	15	4	10	27	92	1	12	3	267	327	435	761	168	341	27	8	334	46	—	—	—	—	—	—
2025	17	ROK MLE	DSL Mariners	—	225	199	27	5	2	3	15	81	9	10	0	136	228	226	454	90	200	36	7	205	25	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	347	326	63	10	3	7	17	130	1	12	3	193	236	307	543	113	284	37	5	237	46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Mariners	—	225	199	27	5	2	3	15	81	9	10	0	136	228	226	454	90	200	36	7	205	25	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	347	326	63	10	3	7	17	130	1	12	3	193	236	307	543	113	284	37	5	237	46	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	SEA	0%	457	425	88	16	3	9	25	133	4	9	2	208	259	324	582	116	276	29	5	261	63	-20	+1	-1	-3	+10	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	SEA	34%	306	282	60	11	2	7	18	87	3	7	2	214	268	345	612	130	279	28	6	273	71	-11	+1	-1	-2	+7	-0.6
2029	21	MLB MLE	SEA	48%	408	376	83	15	3	11	24	114	5	10	3	220	276	365	641	144	281	28	6	285	79	-10	+1	-1	-2	+9	-0.4
2030	22	MLB MLE	SEA	54%	455	419	94	16	3	14	28	125	5	11	3	225	282	380	662	155	283	27	6	293	85	-8	+1	-0	-3	+10	-0.0
2031	23	MLB MLE	SEA	57%	505	462	106	18	3	17	32	136	6	12	4	229	287	391	678	162	284	27	6	300	89	-7	+1	+0	-3	+11	0.3
2032	24	MLB MLE	SEA	57%	562	515	120	21	4	19	36	150	6	14	4	232	291	399	690	167	286	27	6	305	92	-5	+1	+1	-3	+12	0.6
2033	25	MLB MLE	SEA	57%	583	534	126	22	4	21	38	155	6	14	4	233	292	404	696	171	286	27	7	307	94	-4	+1	+1	-3	+13	0.7
2034	26	MLB MLE	SEA	56%	596	545	128	22	4	22	39	159	7	14	4	233	292	406	698	173	286	27	7	308	95	-4	+1	+1	-4	+13	0.8
2035	27	MLB MLE	SEA	55%	594	544	127	22	4	21	39	159	6	14	4	232	291	404	695	171	285	27	7	307	94	-5	+1	+1	-4	+13	0.7
2036	28	MLB MLE	SEA	55%	583	534	123	21	3	21	38	157	6	12	4	231	289	399	688	168	284	27	7	304	92	-6	+1	+0	-3	+13	0.5
2037	29	MLB MLE	SEA	53%	566	518	118	20	3	20	37	154	6	11	4	228	286	393	679	165	283	27	7	300	89	-7	+1	-0	-3	+12	0.2
2038	30	MLB MLE	SEA	53%	552	507	114	19	3	19	35	152	5	10	4	225	282	385	667	160	281	28	6	295	86	-9	+0	-1	-3	+12	-0.1
2028	20	MLB CTX	SEA	34%	105	97	21	4	1	2	6	30	1	2	1	212	266	340	605	127	277	29	6	270	71	-4	+0	-0	-1	+2	-0.2
2029	21	MLB CTX	SEA	48%	198	182	39	7	1	5	12	55	2	5	1	218	274	359	633	141	279	28	6	282	79	-5	+1	-0	-1	+4	-0.2
2030	22	MLB CTX	SEA	54%	247	227	51	9	2	7	15	68	3	6	2	223	280	374	654	151	280	28	6	290	85	-4	+0	-0	-1	+5	-0.0
2031	23	MLB CTX	SEA	57%	286	263	59	10	2	9	18	77	3	7	2	227	285	385	670	158	282	27	6	297	89	-4	+1	+0	-2	+6	0.2
2032	24	MLB CTX	SEA	57%	318	290	68	12	2	11	21	85	4	8	2	230	288	393	681	163	283	27	7	301	92	-3	+1	+1	-2	+7	0.4
2033	25	MLB CTX	SEA	57%	329	301	69	12	2	11	21	88	4	8	2	231	289	397	687	167	283	27	6	303	94	-2	+1	+1	-2	+7	0.4
2034	26	MLB CTX	SEA	56%	337	308	71	12	2	12	22	90	4	8	2	231	290	400	690	169	283	27	7	305	95	-2	+1	+1	-2	+7	0.5
2035	27	MLB CTX	SEA	55%	329	301	70	12	2	12	21	88	4	8	2	230	289	397	686	167	283	27	6	303	94	-2	+1	+1	-2	+7	0.4
2036	28	MLB CTX	SEA	55%	320	293	67	11	2	11	21	86	3	7	2	228	287	393	679	165	281	27	7	300	92	-3	+1	+0	-2	+7	0.3
2037	29	MLB CTX	SEA	53%	303	277	63	11	2	10	20	83	3	6	2	226	284	386	670	161	280	27	7	297	89	-4	+0	-0	-2	+7	0.1
2038	30	MLB CTX	SEA	53%	291	267	60	10	2	10	19	80	3	5	2	223	280	379	659	156	278	27	7	292	86	-5	+0	-1	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3063	2806	638	110	20	100	196	830	34	70	20	227	286	388	674	160	284	27	6	297	84	-39	+6	+1	-18	+66	1.7
/ 162G	—	A+C		—	650	595	135	23	4	21	42	176	7	15	4	227	286	385	671	158	284	27	6	297	84	-8	+1	+0	-4	+14	0.4
Career	—	MLE		—	6492	5955	1329	229	42	206	408	1820	73	155	44	223	281	380	661	156	283	28	6	292	84	-85	+10	+2	-36	+128	2.0
/ 162G	—	MLE		—	650	596	133	23	4	21	41	182	7	16	4	223	281	381	662	158	282	28	6	292	84	-9	+1	+0	-4	+14	0.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL Mariners · 249 PAwOBA .359 → .254 (−104)K% 24.5% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.50%	÷1.000	×1.440	—	—	35.28%
BB% (unintentional) /PA	9.24%	÷1.000	×0.620	—	×1.008	5.77%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	24.07%	÷1.000	×0.820	×1.025	×1.008	20.38%
Doubles /BIP	6.79%	÷1.000	×0.720	×1.025	×1.008	5.05%
Triples /BIP	2.47%	÷1.000	×0.720	×1.025	×1.008	1.84%
Home runs /BIP	5.56%	÷1.000	×0.780	—	×1.008	4.37%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .359 → .254; ISO .206 → .144; BABIP .346 → .279. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 AInland Empire 66ers · 98 PAwOBA .253 → .193 (−60)K% 31.6% → 43.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.63%	÷1.000	×1.360	—	—	43.02%
BB% (unintentional) /PA	4.08%	÷1.000	×0.690	—	×1.045	2.94%
HBP% /PA	1.02%	—	×0.780	—	×1.045	0.83%
Singles /BIP	26.23%	÷1.000	×0.920	×0.966	×1.045	24.35%
Doubles /BIP	6.56%	÷1.000	×0.830	×0.966	×1.045	5.49%
Triples /BIP	0.00%	÷1.000	×0.910	×0.966	×1.045	0.00%
Home runs /BIP	1.64%	÷1.000	×0.800	—	×1.045	1.37%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .253 → .193; ISO .076 → .054; BABIP .328 → .297. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Mariners · 225 PAwOBA .320 → .205 (−115)K% 29.8% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.78%	÷1.003	×1.220	—	—	36.23%
BB% (unintentional) /PA	9.33%	÷0.996	×0.700	—	×1.008	6.61%
HBP% /PA	4.00%	—	×0.700	—	×1.008	2.82%
Singles /BIP	19.84%	÷0.986	×0.680	×1.017	×1.008	14.01%
Doubles /BIP	6.35%	÷0.989	×0.600	×1.017	×1.008	3.95%
Triples /BIP	2.38%	÷0.900	×0.600	×1.017	×1.008	1.63%
Home runs /BIP	5.56%	÷0.936	×0.470	—	×1.008	2.81%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 97, 2B 98, 3B 80, K 101, BB 99 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .320 → .205; ISO .181 → .099; BABIP .300 → .200. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Franklin Stubbs'84-'95 * career totals — 9 seasons, 2,899 PA	4.4	2,899	104	74	229*	301*	428*	-43	+18	6.0	6.2
/162	664	24	17	-9.8	+4.2	1.4	pk7: 6
#3Cory Snyder'86-'94 * career totals — 9 seasons, 3,933 PA	5.9	3,933	149	28	243*	290*	445*	-35	-18	4.7	5.7
/162	664	25	5	-5.9	-3.0	0.8	pk7: 7
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#6Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.9	3,272	108	73	229	283	390	-20	+10	3.1	3.2
/162	664	22	15	-4.0	+2.0	0.6	pk7: 3

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)	19	—	—	—	—	206/257/321	115	276	4	4	29%	5%	63	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Estevan Florial 2017 · A	19	39→49	42→50	52→60	40	192/255/297	106	289	10	11	35%	7%	56	-1.9	217/275/334	117	369	10	13	40%	7%	72	-0.7	214/285/371	157	317	17	29	36%	8%	82	+0.0
●Nick Pratto 2018 · A	19	39→45	41→55	49→50	39	188/248/288	100	289	7	10	36%	7%	51	-2.2	189/239/292	103	318	10	12	41%	6%	49	-2.4	199/293/381	183	290	22	7	37%	10%	90	+0.5
✕Victor Mesa Jr. 2022 · A	20	45→46	40→55	52→50	40	217/262/316	100	295	6	9	28%	6%	62	-1.4	216/267/327	111	285	10	9	27%	6%	67	-1.1	238/297/408	169	279	21	11	23%	7%	95	+0.5
✕Jarred Kelenic 2019 · A	20	45→54	43→60	57→50	43	219/279/335	116	297	10	13	29%	7%	74	-0.6	230/290/411	181	294	21	13	28%	7%	96	+1.0	230/297/414	184	294	20	15	28%	8%	99	+1.1
✕Franchy Cordero 2014 · A	19	44→54	38→55	58→50	41	207/265/293	86	304	5	13	32%	7%	58	-1.7	208/250/287	79	323	5	13	35%	5%	51	-2.3	250/293/418	168	373	15	17	35%	5%	94	+0.7
✕Marcelo Mayer 2022 · A	19	46→47	42→50	53→50	42	215/279/322	107	328	10	12	35%	8%	71	-0.8	225/292/370	145	321	15	12	32%	8%	86	+0.3	229/294/381	151	313	16	14	30%	8%	88	+0.3
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/270/292	91	260	7	13	25%	8%	60	-1.6	205/256/277	72	300	3	25	30%	6%	51	-2.3	240/291/409	169	325	21	27	32%	5%	95	+0.4
✕Jordan Schafer 2007 · A	20	40→50	42→50	50→65	37	198/237/304	106	277	9	12	31%	5%	50	-2.3	237/291/378	141	330	12	13	30%	7%	87	+0.4	244/304/393	149	338	12	14	30%	8%	93	+0.6
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	194/267/288	94	272	9	17	30%	8%	59	-1.6	221/287/321	100	309	7	21	28%	8%	73	-0.6	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Enmanuel Valdez 2019 · A	20	38→47	41→55	49→45	46	187/255/292	105	242	8	7	26%	8%	55	-2.0	196/249/318	122	264	13	7	30%	6%	59	-1.7	223/287/404	181	270	24	8	27%	8%	92	+0.5
✕Alexander Canario 2019 · A	19	39→36	41→60	47→50	46	193/265/292	98	258	9	12	28%	8%	59	-1.7	209/266/356	147	291	17	11	33%	7%	74	-0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Akil Baddoo 2019 · A	20	43→53	43→50	56→55	47	207/283/329	122	293	8	13	30%	9%	74	-0.6	215/284/346	131	317	11	16	33%	9%	78	-0.3	238/319/386	148	309	15	24	26%	11%	100	+0.9
✕Travis Blankenhorn 2016 · A	19	42→45	39→50	51→50	40	204/257/286	82	281	6	6	29%	6%	54	-2.0	207/264/331	124	299	11	7	33%	6%	67	-1.1	208/282/359	151	278	18	6	31%	8%	78	-0.2
✕Max Clark 2024 · A	19	44→53	42→45	51→55	48	207/292/314	106	308	9	11	33%	10%	74	-0.5	238/314/357	119	306	11	17	24%	9%	92	+0.7	245/323/369	124	304	11	19	22%	10%	96	+0.9
✕Angel Ortiz 2022 · A	19	42→45	41→50	46→45	44	206/261/296	90	269	9	9	26%	7%	57	-1.8	207/257/302	95	281	7	7	27%	6%	57	-1.8	227/286/370	143	294	13	8	26%	7%	82	+0.0
✕Lewin Díaz 2016 · A	19	37→46	41→60	49→30	45	185/258/283	98	244	8	4	27%	8%	55	-2.0	213/252/333	120	269	12	3	25%	4%	63	-1.4	206/256/398	192	235	26	1	25%	5%	80	-0.1
✕Ceddanne Rafaela 2021 · A	20	40→50	42→55	52→55	42	198/252/297	99	246	10	13	24%	5%	55	-2.0	232/272/383	151	296	15	19	26%	4%	82	+0.0	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6
✕Dustin Fowler 2015 · A	20	41→51	46→55	51→55	36	210/238/348	138	268	13	6	28%	4%	61	-1.5	243/269/366	123	305	9	17	23%	3%	76	-0.4	258/283/412	154	310	13	21	21%	3%	89	+0.4

Yorger Bautista

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps