Deuri Castillo

SS ACL Mariners

Age 23 L/R 5'10" / 170 lbs ROK K +7%HR -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1998ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	ROKSEA	156	.213/.377/.287	0	20	37	—	.140/.279/.186
2025	21	ROKSEA	138	.231/.420/.308	1	17	49	—	.159/.312/.212
2026	22	ROKSEA	19	.235/.316/.235	0	0	-24	—	.111/.158/.111
2027PROJMLE	23	MLBSEA	129	.197/.281/.271	1	4	59	0.0
2028PROJ29% MLB	24	MLBSEA	20	.200/.284/.284	0	1	65	0.0
2029PROJ45% MLB	25	MLBSEA	64	.204/.287/.297	1	2	69	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Ext$1.0M+4

Skills · percentileMiLB Statcast 2025 Rk

BB%91

Speed87

Chase%84

wOBA71

wRC+67

K%64

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 24 proj PA

wRC+†59

AVG/OBP/SLG.195 / .279 / .268

PA24

HR0

K%30

BB%9

ISO74

MLB%0%

Value2027 · WAR

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

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 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)
2024	20	ROK	DSL Mariners	—	156	122	26	3	3	0	27	46	5	20	2	213	377	287	664	74	333	29	17	316	37	—	—	—	—	—	—
2025	21	ROK	DSL Mariners	—	138	104	24	1	2	1	29	26	5	17	6	231	420	308	728	77	299	19	21	352	49	—	—	—	—	—	—
2026	22	ROK	ACL Mariners	—	19	17	4	0	0	0	2	9	0	0	1	235	316	235	551		500	47	11	264	-24	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	20	ROK MLE	DSL Mariners	—	156	129	18	2	2	0	20	56	5	20	2	140	279	186	465	47	232	36	13	223	37	—	—	—	—	—	—
2025	21	ROK MLE	DSL Mariners	—	138	113	18	1	1	1	20	32	5	17	6	159	312	212	524	53	202	23	14	240	49	—	—	—	—	—	—
2026	22	ROK MLE	ACL Mariners	—	19	18	2	0	0	0	1	13	0	0	1	111	158	111	269		400	68	5	133	-24	—	—	—	—	—	—
2024	20	ROK MLE	DSL Mariners	—	156	129	18	2	2	0	20	56	5	20	2	140	279	186	465	47	240	36	13	223	37	—	—	—	—	—	—
2024	20	ROK RAW	DSL Mariners	—	156	122	26	3	3	0	27	46	5	20	2	213	377	287	664	74	333	29	17	316	37	—	—	—	—	—	—
2025	21	ROK MLE	DSL Mariners	—	138	113	18	1	1	1	20	32	5	17	6	159	312	212	524	53	212	23	14	240	49	—	—	—	—	—	—
2025	21	ROK RAW	DSL Mariners	—	138	104	24	1	2	1	29	26	5	17	6	231	420	308	728	77	299	19	21	352	49	—	—	—	—	—	—
2026	22	ROK MLE	ACL Mariners	—	19	18	2	0	0	0	1	13	0	0	1	111	158	111	269		400	68	5	133	-24	—	—	—	—	—	—
2026	22	ROK RAW	ACL Mariners	—	19	17	4	0	0	0	2	9	0	0	1	235	316	235	551		500	47	11	264	-24	—	—	—	—	—	—
2024	20	ROK MLE	DSL Mariners	—	156	130	18	2	2	0	20	56	5	20	2	138	279	185	464	46	232	36	13	223	37	—	—	—	—	—	—
2025	21	ROK MLE	DSL Mariners	—	138	112	18	1	1	1	20	32	5	17	6	161	312	214	526	54	202	23	14	240	49	—	—	—	—	—	—
2026	22	ROK MLE	ACL Mariners	—	19	18	2	0	0	0	1	13	0	0	1	111	158	111	269		400	68	5	133	-24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	ROK MLE	DSL Mariners	—	156	130	18	2	2	0	20	56	5	20	2	138	279	185	464	46	232	36	13	223	37	—	—	—	—	—	—
2025	21	ROK MLE	DSL Mariners	—	138	112	18	1	1	1	20	32	5	17	6	161	312	214	526	54	202	23	14	240	49	—	—	—	—	—	—
2026	22	ROK MLE	ACL Mariners	—	19	18	2	0	0	0	1	13	0	0	1	111	158	111	269		400	68	5	133	-24	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	SEA	0%	129	114	22	3	1	1	12	39	2	4	1	197	281	271	552	74	286	30	9	256	59	-6	+0	+0	+1	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	SEA	29%	70	63	13	2	1	1	6	21	1	2	0	202	286	288	573	86	288	30	9	264	65	-3	+0	+0	+1	+2	-0.0
2029	25	MLB MLE	SEA	45%	141	125	26	4	1	2	13	42	2	5	1	206	289	301	590	96	288	30	9	271	69	-5	+1	+0	+2	+3	0.0
2030	26	MLB MLE	SEA	54%	199	176	37	5	2	3	18	58	3	7	1	209	291	313	604	104	288	29	9	276	73	-6	+1	+0	+2	+4	0.1
2031	27	MLB MLE	SEA	58%	242	215	45	7	2	4	22	70	3	8	1	210	292	315	607	105	288	29	9	277	74	-8	+1	+0	+3	+5	0.1
2032	28	MLB MLE	SEA	61%	273	243	51	8	2	4	25	79	3	9	1	210	292	315	607	105	288	29	9	277	73	-9	+1	-1	+3	+6	0.1
2033	29	MLB MLE	SEA	62%	286	255	52	8	2	4	26	83	3	9	1	208	289	309	598	102	286	29	9	273	71	-10	+1	-1	+3	+6	-0.1
2028	24	MLB CTX	SEA	29%	20	18	3	0	0	0	2	6	0	1	0	200	284	284	568	84	285	30	10	262	65	-1	+0	+0	+0	+0	0.0
2029	25	MLB CTX	SEA	45%	64	57	13	2	1	1	6	19	1	2	0	204	287	297	585	93	286	30	9	268	69	-2	+0	+0	+1	+1	0.0
2030	26	MLB CTX	SEA	54%	108	96	20	3	1	2	10	31	1	4	1	207	290	308	598	101	286	29	9	273	73	-3	+0	+0	+1	+2	0.0
2031	27	MLB CTX	SEA	58%	141	125	26	4	1	2	13	41	2	5	1	208	290	311	601	103	286	29	9	274	74	-4	+1	+0	+2	+3	0.1
2032	28	MLB CTX	SEA	61%	166	148	31	5	1	3	15	48	2	6	1	208	290	311	601	103	285	29	9	274	73	-5	+1	-0	+2	+4	0.1
2033	29	MLB CTX	SEA	62%	178	158	33	5	1	3	16	52	2	6	1	206	287	305	592	99	284	29	9	271	71	-6	+1	-1	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	677	602	126	19	5	11	62	197	8	24	4	209	292	312	604	103	289	29	9	272	65	-23	+3	-1	+7	+15	0.1
/ 162G	—	A+C		—	650	578	121	18	5	11	60	189	8	23	4	209	293	315	608	106	288	29	9	272	65	-22	+3	-1	+7	+14	0.1
Career	—	MLE		—	1548	1359	266	38	13	19	153	461	25	78	14	196	289	285	574	89	279	30	10	264	65	-42	+6	-2	+13	+27	0.2
/ 162G	—	MLE		—	650	571	111	16	5	8	64	194	10	33	6	194	287	282	569	88	277	30	10	264	65	-22	+3	-1	+7	+14	0.1

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 · 19 PAwOBA .258 → .133 (−125)K% 47.4% → 68.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	47.37%	÷1.000	×1.440	—	—	68.21%
BB% (unintentional) /PA	10.53%	÷1.000	×0.620	—	×0.975	6.36%
HBP% /PA	0.00%	—	×0.720	—	×0.975	0.00%
Singles /BIP	50.00%	÷1.000	×0.820	—	×0.975	39.98%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.975	0.00%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .258 → .133; ISO .000 → .000; BABIP .500 → .400. 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 · 138 PAwOBA .345 → .240 (−105)K% 18.8% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.84%	÷1.003	×1.220	—	—	22.92%
BB% (unintentional) /PA	21.01%	÷0.996	×0.700	—	×0.975	14.41%
HBP% /PA	3.62%	—	×0.700	—	×0.975	2.47%
Singles /BIP	25.64%	÷0.986	×0.680	×1.023	×0.975	17.63%
Doubles /BIP	1.28%	÷0.989	×0.600	×1.023	×0.975	0.78%
Triples /BIP	2.56%	÷0.900	×0.600	×1.023	×0.975	1.70%
Home runs /BIP	1.28%	÷0.936	×0.470	—	×0.975	0.63%

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 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .345 → .240; ISO .077 → .048; BABIP .299 → .202. 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).

2024 DSLDSL Mariners · 156 PAwOBA .314 → .223 (−90)K% 29.5% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.49%	÷1.004	×1.220	—	—	35.84%
BB% (unintentional) /PA	17.31%	÷0.938	×0.700	—	×0.985	12.73%
HBP% /PA	3.21%	—	×0.700	—	×0.985	2.21%
Singles /BIP	26.32%	÷0.976	×0.680	×1.033	×0.985	18.65%
Doubles /BIP	3.95%	÷0.940	×0.600	×1.033	×0.985	2.56%
Triples /BIP	3.95%	÷0.934	×0.600	×1.033	×0.985	2.58%
Home runs /BIP	0.00%	÷1.012	×0.470	—	×0.985	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 95, 2B 88, 3B 87, K 101, BB 88 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .314 → .223; ISO .074 → .049; BABIP .333 → .232. 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 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	227	293	367	+2.4	+3.0	1.1	pk7: 4
#2Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
#2Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	/162	664	9	5	217*	284*	324*	+4.2	+14.4	0.8	pk7: 4
#3Ryan 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
#3Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	/162	664	9	2	230	279	335	+3.7	+8.5	0.8	pk7: 2
#4Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
#4Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	/162	664	3	21	223*	283*	300*	+3.8	+3.5	-0.1	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.1	701	11	23	209	288	311	+8	+12	0.6	0.6
	/162	664	10	22	209	288	311	+7.1	+11.4	0.6	pk7: 1
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	/162	664	4	9	220*	280*	301*	+3.7	+8.5	-0.6	pk7: -0
#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	231	275	323	+4.9	-2.1	-0.4	pk7: -1

Deuri Castillo

Career Stats + Projections

How the minor-league lines were translated

Career Comps