Darwing Ozuna

OF DSL Athletics

Age 19 R/R 6'3" / 185 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKOAK	103	.211/.304/.311	2	2	13	—	.140/.216/.194
2026	18	ROKOAK	212	.315/.419/.438	3	7	64	—	.212/.310/.272
2027PROJMLE	19	MLBOAK	322	.206/.272/.290	4	5	60	-0.3
2028PROJ34% MLB	20	MLBOAK	55	.218/.285/.322	1	1	68	-0.1
2029PROJ48% MLB	21	MLBOAK	131	.224/.291/.341	3	2	75	-0.2

Next 3 projected WAR -0.7Projected 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$3M+2

Skills · percentileMiLB Statcast 2026 Rk

wOBA74

wRC+74

K%72

Speed68

Z-Con%59

ISO53

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 98%

CompsAlexander Canario (age 19) · Jesús Báez (age 19) · Moisés Sierra (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 112 proj PA

wRC+†60

AVG/OBP/SLG.204 / .270 / .288

PA112

HR1

K%26

BB%6

ISO84

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$10M 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	—	—	—
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$3M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$5M	+0.3	$0.7M	+$0.0M (cut)
2036	Arb-3	$7M	+0.1	$0.2M	+$0.0M (cut)
Totals		$0.9M		$2M	+$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)
2025	17	ROK	DSL Athletics	—	103	90	19	3	0	2	9	25	3	2	1	211	304	311	615	100	266	24	9	283	13	—	—	—	—	—	—
2026	18	ROK	DSL Athletics	—	212	178	56	9	2	3	21	36	11	7	1	315	419	438	857	124	376	17	10	386	64	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Athletics	—	103	93	13	2	0	1	6	30	3	2	1	140	216	194	409	54	183	29	6	187	13	—	—	—	—	—	—
2026	18	ROK MLE	DSL Athletics	—	212	184	39	6	1	1	15	44	11	7	1	212	310	272	581	60	261	21	7	263	64	—	—	—	—	—	—
2025	17	ROK MLE	DSL Athletics	—	103	93	13	2	0	1	6	30	3	2	1	140	216	194	409	54	190	29	6	187	13	—	—	—	—	—	—
2025	17	ROK RAW	DSL Athletics	—	103	90	19	3	0	2	9	25	3	2	1	211	304	311	615	100	266	24	9	283	13	—	—	—	—	—	—
2026	18	ROK MLE	DSL Athletics	—	212	184	39	6	1	1	15	44	11	7	1	212	310	272	581	60	270	21	7	263	64	—	—	—	—	—	—
2026	18	ROK RAW	DSL Athletics	—	212	178	56	9	2	3	21	36	11	7	1	315	419	438	857	124	376	17	10	386	64	—	—	—	—	—	—
2025	17	ROK MLE	DSL Athletics	—	103	93	13	2	0	1	6	30	3	2	1	140	216	194	409	54	183	29	6	187	13	—	—	—	—	—	—
2026	18	ROK MLE	DSL Athletics	—	212	184	39	6	1	1	15	44	11	7	1	212	310	272	581	60	261	21	7	263	64	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Athletics	—	103	93	13	2	0	1	6	30	3	2	1	140	216	194	409	54	183	29	6	187	13	—	—	—	—	—	—
2026	18	ROK MLE	DSL Athletics	—	212	184	39	6	1	1	15	44	11	7	1	212	310	272	581	60	261	21	7	263	64	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	OAK	0%	322	292	61	10	2	4	21	83	6	5	1	206	272	290	562	84	271	26	7	257	60	-15	+1	-1	-2	+7	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	OAK	34%	161	146	32	5	1	3	11	41	3	3	1	212	280	312	592	100	274	25	7	269	68	-6	+0	-1	-1	+3	-0.4
2029	21	MLB MLE	OAK	48%	271	246	53	8	2	5	18	68	5	5	2	218	286	332	618	114	276	25	7	279	75	-8	+0	-1	-2	+6	-0.5
2030	22	MLB MLE	OAK	54%	376	340	76	12	2	9	26	93	7	7	2	223	291	349	640	126	278	25	7	288	81	-9	+1	-1	-2	+8	-0.3
2031	23	MLB MLE	OAK	57%	445	403	92	14	3	12	31	109	8	8	3	227	296	363	658	136	280	24	7	295	86	-8	+0	-1	-3	+10	-0.1
2032	24	MLB MLE	OAK	57%	487	441	102	16	3	14	35	119	8	9	3	231	299	374	674	144	282	24	7	301	90	-6	+1	-0	-3	+11	0.2
2033	25	MLB MLE	OAK	57%	512	462	107	17	3	15	36	125	9	9	3	232	301	382	682	149	282	24	7	304	92	-5	+1	+0	-3	+11	0.4
2034	26	MLB MLE	OAK	56%	526	474	110	17	3	16	38	128	9	10	3	233	302	387	689	154	282	24	7	307	94	-4	+1	+0	-3	+11	0.6
2035	27	MLB MLE	OAK	55%	528	476	110	17	3	16	38	130	9	9	4	232	301	385	685	152	282	25	7	305	93	-5	+0	+0	-3	+11	0.4
2036	28	MLB MLE	OAK	55%	525	474	109	17	3	16	37	130	9	9	4	230	299	380	678	149	281	25	7	303	91	-6	+0	-0	-3	+11	0.3
2037	29	MLB MLE	OAK	53%	513	464	105	16	3	15	36	129	8	8	4	228	296	373	669	146	279	25	7	299	88	-7	+0	-1	-3	+11	-0.0
2028	20	MLB CTX	OAK	34%	55	50	11	2	0	1	4	14	1	1	0	218	285	322	607	104	282	25	7	275	68	-2	+0	-0	-0	+1	-0.1
2029	21	MLB CTX	OAK	48%	131	119	28	5	1	3	9	33	2	2	1	224	291	341	632	118	285	25	7	285	75	-4	+0	-0	-1	+3	-0.2
2030	22	MLB CTX	OAK	54%	204	184	42	7	1	5	14	51	4	4	1	229	296	358	654	129	287	25	7	294	81	-5	+0	-1	-1	+4	-0.2
2031	23	MLB CTX	OAK	57%	252	228	53	9	2	6	18	62	4	5	2	233	301	371	672	139	289	25	7	301	86	-4	+0	-0	-2	+5	-0.1
2032	24	MLB CTX	OAK	57%	275	248	59	10	2	8	20	67	5	5	2	236	304	383	687	147	291	24	7	306	90	-3	+0	-0	-2	+6	0.1
2033	25	MLB CTX	OAK	57%	289	261	62	11	2	8	21	71	5	5	2	238	306	390	696	152	291	25	7	310	92	-3	+0	+0	-2	+6	0.2
2034	26	MLB CTX	OAK	56%	297	269	64	11	2	9	21	73	5	5	2	239	307	395	702	157	291	25	7	312	94	-2	+0	+0	-2	+6	0.3
2035	27	MLB CTX	OAK	55%	293	265	63	11	2	9	21	72	5	5	2	238	306	393	698	155	290	25	7	311	93	-3	+0	+0	-2	+6	0.3
2036	28	MLB CTX	OAK	55%	288	260	62	10	2	9	21	71	5	5	2	236	304	388	691	152	289	25	7	308	91	-3	+0	-0	-2	+6	0.1
2037	29	MLB CTX	OAK	53%	274	249	59	10	2	8	19	69	4	4	2	233	301	381	682	148	288	25	7	304	88	-4	+0	-1	-2	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2358	2133	503	86	16	66	168	583	40	41	16	236	304	384	688	148	293	25	7	304	85	-33	+2	-2	-14	+51	0.4
/ 162G	—	A+C		—	650	588	138	24	4	18	46	161	11	11	4	235	302	381	683	146	292	25	7	304	85	-9	+0	-1	-4	+14	0.1
Career	—	MLE		—	4771	4305	969	150	28	124	334	1175	91	88	32	225	295	359	654	134	279	25	7	293	85	-67	+4	-4	-27	+97	0.2
/ 162G	—	MLE		—	650	587	132	20	4	17	46	160	12	12	4	225	295	359	654	135	278	25	7	293	85	-10	+1	-1	-4	+14	0.0

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 DSLDSL Athletics · 212 PAwOBA .380 → .263 (−116)K% 17.0% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.98%	÷1.000	×1.220	—	—	20.72%
BB% (unintentional) /PA	9.91%	÷1.000	×0.700	—	×1.008	6.99%
HBP% /PA	5.19%	—	×0.700	—	×1.008	3.66%
Singles /BIP	29.58%	÷1.000	×0.680	×1.050	×1.008	21.28%
Doubles /BIP	6.34%	÷1.000	×0.600	×1.050	×1.008	4.02%
Triples /BIP	1.41%	÷1.000	×0.600	×1.050	×1.008	0.89%
Home runs /BIP	2.11%	÷1.000	×0.470	—	×1.008	1.00%

Factors used: level-wide DSL 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 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 ×1.050.

Result: wOBA .380 → .263; ISO .124 → .072; BABIP .376 → .261. 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 Athletics · 103 PAwOBA .279 → .187 (−91)K% 24.3% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.27%	÷1.004	×1.220	—	—	29.49%
BB% (unintentional) /PA	8.74%	÷1.009	×0.700	—	×1.022	6.20%
HBP% /PA	2.91%	—	×0.700	—	×1.022	2.08%
Singles /BIP	21.54%	÷0.994	×0.680	×1.023	×1.022	15.41%
Doubles /BIP	4.62%	÷1.013	×0.600	×1.023	×1.022	2.86%
Triples /BIP	0.00%	÷0.900	×0.600	×1.023	×1.022	0.00%
Home runs /BIP	3.08%	÷0.868	×0.470	—	×1.022	1.70%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 99, 2B 103, 3B 80, K 101, BB 102 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .279 → .187; ISO .100 → .057; BABIP .266 → .183. 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
#1Michael 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
#2Emil 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
#3Chris 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
#4Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	3.5	2,307	63	29	233*	311*	398*	-19	-6	2.4	3.1
/162	664	18	8	-5.5	-1.8	0.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.7	2,471	68	43	229	294	369	-15	-3	1.9	2.1
/162	664	18	12	-4.0	-0.9	0.5	pk7: 2
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	pk7: 1
#6Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	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
Darwing Ozuna (OGILVIE)	19	—	—	—	—	204/270/288	83	271	1	2	26%	6%	60	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Jesús Báez 2024 · A	19	35→41	40→55	45	46	177/246/265	88	234	7	9	27%	8%	46	-2.6	218/275/368	150	257	19	8	23%	6%	80	-0.1	226/279/407	181	249	27	8	22%	6%	89	+0.4
✕Moisés Sierra 2008 · A	19	35→45	40→50	49→50	38	177/232/265	88	238	8	10	29%	5%	40	-3.0	223/270/316	93	303	8	8	28%	4%	65	-1.2	252/302/391	139	320	16	11	25%	5%	93	+0.8
✕Jerar Encarnacion 2017 · A	19	40→45	38→50	50→45	38	195/232/275	80	260	5	6	27%	4%	41	-3.0	188/231/283	95	306	9	5	40%	5%	43	-2.8	223/288/380	158	332	23	6	38%	8%	86	+0.2
●Óscar Mercado 2014 · A	19	38→48	37→50	52→60	40	182/240/255	73	262	4	13	30%	6%	40	-3.0	193/242/260	67	241	4	23	20%	5%	42	-2.9	245/308/380	135	288	13	27	19%	7%	93	+0.7
●Esmerlyn Valdez 2022 · A	18	40→44	41→60	48→30	43	194/269/292	98	274	9	7	31%	7%	61	-1.5	193/270/310	117	291	12	5	35%	8%	65	-1.2	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Randy Guzman 2024 · A	19	35	37→55	47→45	43	163/256/235	72	285	5	4	40%	10%	44	-2.8	199/268/320	121	298	12	4	35%	7%	67	-1.1	226/292/392	166	312	19	4	32%	6%	89	+0.3
✕Robert Perez Jr. 2019 · A	19	34→44	39→50	42→45	41	172/238/252	80	245	7	6	31%	7%	40	-3.1	207/269/322	115	312	12	4	35%	6%	68	-1.0	219/291/377	157	314	20	2	35%	6%	87	+0.3
✕Yordalin Peña 2024 · A	19	36→37	37→55	55	41	176/232/253	77	233	4	10	26%	5%	37	-3.3	188/246/290	102	278	8	14	33%	6%	51	-2.2	184/241/311	127	279	12	17	37%	6%	52	-1.2
✕Noelvi Marte 2021 · A	19	41→51	41→50	49→55	45	201/256/299	98	254	8	12	24%	7%	56	-1.9	233/299/372	139	304	15	16	27%	8%	90	+0.6	241/309/383	142	307	16	19	26%	8%	94	+0.7
✕Moisés Gómez 2018 · A	19	39→42	39→55	49→45	38	193/238/277	85	262	7	9	29%	5%	45	-2.7	198/247/334	136	313	14	4	39%	6%	62	-1.4	192/247/364	173	283	25	6	40%	6%	67	-0.7
✕Rodolfo Castro 2018 · A	19	41→42	41→55	47→50	41	199/257/307	107	275	8	5	30%	6%	59	-1.7	197/239/329	132	279	14	5	33%	5%	57	-1.8	211/274/367	156	276	20	7	30%	7%	79	-0.2
✕Agustín Ramírez 2021 · A	19	38→48	38→55	46→55	42	188/240/269	81	244	6	5	25%	5%	43	-2.8	207/266/331	124	281	13	8	29%	7%	68	-1.0	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Stone Garrett 2016 · A	20	42→39	35→55	49→50	38	198/237/257	59	280	3	7	29%	5%	38	-3.2	172/211/256	84	307	7	8	44%	4%	30	-3.8	223/282/387	164	300	20	11	31%	7%	87	+0.2
✕Jose Alpuria 2024 · A	19	35	35→55	50→55	39	166/252/223	57	258	3	18	34%	6%	40	-3.1	193/281/278	85	301	7	21	35%	7%	63	-1.3	199/293/313	114	306	10	25	35%	7%	73	-0.3
✕Johan Mieses 2014 · A	19	42→33	36→55	45→50	44	198/262/265	67	277	3	9	28%	7%	51	-2.2	198/248/325	127	262	12	14	29%	6%	60	-1.6	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕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
✕Ezequiel Tovar 2021 · A	19	44→49	37→55	49→50	45	205/273/280	75	288	3	12	28%	8%	59	-1.7	244/281/380	136	295	14	15	22%	4%	84	+0.2	251/287/411	161	323	17	11	27%	4%	94	+0.8
✕Ronarsy Ledesma 2012 · A	19	40	39→45	46→50	45	192/269/279	87	247	7	7	24%	7%	58	-1.7	210/272/303	93	266	5	11	22%	5%	63	-1.3	210/267/312	102	264	5	11	22%	5%	62	-0.6
●Maikel Franco 2012 · A	19	36→46	39→55	48→40	37	181/226/263	82	254	6	4	31%	4%	37	-3.3	251/286/399	148	292	16	3	20%	4%	91	+0.7	270/306/443	173	299	19	2	17%	4%	106	+1.7

Darwing Ozuna

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps