Marcell Ozuna

LF Pittsburgh Pirates

Age 36 R/R 6'1" / 251 lbs MLB HR -15%K -5% Svc 13.494 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	33	MLBATL	688	.302/.380/.546	39	1	157	5.6
2025	34	MLBATL	592	.232/.359/.400	21	0	115	1.8
2026	35	INTLGigantes del …	32	.182/.438/.364	1	1	144	—
2026	35	MLBPIT	280	.203/.286/.327	8	0	77	-0.5
2027PROJ	36	MLBPIT	243	.242/.336/.419	9	1	117	0.8
2028PROJ	37	MLBPIT	167	.229/.323/.391	6	0	106	-0.4

Last 3 seasons WAR 6.8 · Next 2 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractCONFIRMED

Control thru2027Service13.494First FA2028

2027Ext / FA-deal$2M

Skills · percentileStatcast 2024-2026

xwOBA90

Barrel%79

Avg EV74

Bat Spd73

Speed10

CompsOlmedo Saenz (age 36) · Josh Willingham (age 35) · Mark Reynolds (age 35)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 119117vR 109

AVG/OBP/SLG.242 / .336 / .419

PA243

HR9

K%26

BB%12

BABIP296

ISO171

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

550.255

POWER

Barrel%

7912.5

Avg EV

7490.7

Bat Spd

7373.8

SPEED

Sprint

1024.7

Platoon Splits2024-2026 · 1372 PA

vs LHP

vs RHP

Edge

330

1042

—

wRC+

131

130

—

wOBA

362

361

—

ISO

157

215

▶▶R

BABIP

356

302

◀L

25.5%

24.4%

▶R

BB%

16.1%

11.2%

◀◀L

Contract CONFIRMED · hand-curated extension

Status FA

MLB Debut 2013

Service 13.494 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$2M	+0.4	$2M	-$0.9M
Totals		$2M		$2M	-$0.9M

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)
2008	17	ROK	DSL Marlins	—	263	233	65	14	0	6	23	61	0	8	1	279	344	416	760	137	341	23	9	332	26	—	—	—	—	—	—
2009	18	ROK	GCL Marlins	—	244	214	67	22	0	5	22	52	3	4	2	313	385	486	871	173	383	21	9	379	64	—	—	—	—	—	—
2010	19	A	Greensboro Grasshoppers	—	27	25	4	0	0	1	2	10	0	0	0	160	222	280	502	120	214	37	7	229	-15	—	—	—	—	—	—
2011	20	A	Greensboro Grasshoppers	—	552	496	132	28	5	23	46	121	2	17	2	266	331	482	813	216	308	22	8	352	64	—	—	—	—	—	—
2012	21	A+	Jupiter Hammerheads	—	539	489	130	27	2	24	44	116	3	8	3	266	330	476	807	211	301	22	8	353	80	—	—	—	—	—	—
2012	21	INTL	Gigantes del Cibao	—	190	174	41	12	0	9	11	46	2	2	5	236	289	460	749	224	269	24	6	323	105	—	—	—	—	—	—
2013	22	MLB	Miami Marlins	—	291	275	73	17	4	3	13	57	2	5	1	265	303	389	693	124	326	20	4	307	102	+1	+1	+7	-5	+6	1.0
2013	22	AA	Jacksonville Suns	—	47	42	14	3	1	5	3	9	1	1	0	333	391	810	1.201	476	310	19	6	494	172	—	—	—	—	—	—
2013	22	A+	Jupiter Hammerheads	—	15	15	4	1	0	0	0	4	0	1	0	267	267	333	600	67	364	27	0	267	20	—	—	—	—	—	—
2013	22	INTL	Gigantes del Cibao	—	145	141	39	8	0	2	3	29	1	1	1	277	297	376	672	99	336	20	2	300	89	—	—	—	—	—	—
2014	23	MLB	Miami Marlins	—	612	565	152	26	5	23	41	164	1	3	1	269	320	455	774	186	337	27	7	339	123	+17	+0	+10	+2	+13	4.3
2015	24	MLB	Miami Marlins	—	494	459	119	27	0	10	30	110	3	2	3	259	309	383	692	124	320	22	6	309	102	+1	-1	+2	+2	+11	1.6
2015	24	AAA	New Orleans Zephyrs	—	132	120	38	12	1	5	11	23	1	1	0	317	379	558	937	242	359	17	8	409	119	—	—	—	—	—	—
2015	24	INTL	Gigantes del Cibao	—	28	26	4	1	0	1	1	5	0	0	0	154	185	308	493	154	143	18	4	210	28	—	—	—	—	—	—
2016	25	MLB	Miami Marlins	—	608	557	148	23	6	23	43	115	4	0	3	266	323	452	775	187	296	19	7	340	123	+17	-1	-0	+2	+13	3.1
2017	26	MLB	Miami Marlins	—	679	613	191	30	2	37	64	144	0	1	3	312	377	548	925	237	355	21	9	403	166	+53	-1	-1	-7	+15	6.0
2018	27	MLB	St. Louis Cardinals	—	628	582	163	16	2	23	38	110	3	3	0	280	327	433	760	153	309	18	6	336	115	+12	+1	-5	-7	+14	1.5
2019	28	MLB	St. Louis Cardinals	—	549	485	117	23	1	29	62	114	1	12	2	241	328	472	801	231	257	21	11	352	128	+18	+2	-5	-6	+12	2.1
2020	29	MLB	Atlanta Braves	—	267	228	77	14	0	18	38	60	0	0	0	338	432	636	1.068	298	391	22	14	459	192	+29	+0	-2	-3	+6	3.1
2021	30	MLB	Atlanta Braves	—	208	188	40	6	0	7	19	46	1	0	0	213	288	356	645	144	244	22	9	292	84	-4	+0	-1	-4	+5	-0.4
2021	30	INTL	Dominican Republic	—	120	104	29	4	0	4	14	18	0	0	0	279	364	433	797	154	298	15	12	352	124	—	—	—	—	—	—
2022	31	MLB	Atlanta Braves	—	507	470	106	19	0	23	31	122	2	2	1	226	276	413	689	187	252	24	6	302	91	-6	+0	-3	-6	+11	-0.4
2022	31	INTL	Gigantes del Cibao	—	61	52	11	1	1	1	9	10	0	0	0	212	328	327	655	115	244	16	15	303	91	—	—	—	—	—	—
2023	32	MLB	Atlanta Braves	—	592	530	145	29	1	40	57	134	3	0	0	274	347	558	906	285	293	23	10	392	150	+36	+0	-0	-6	+13	4.3
2024	33	MLB	Atlanta Braves	—	688	606	183	31	0	39	74	170	3	1	0	302	380	546	926	244	359	25	11	403	157	+47	+0	+0	-7	+15	5.6
2025	34	MLB	Atlanta Braves	—	592	487	113	19	0	21	94	144	3	0	0	232	359	400	759	168	280	24	16	341	115	+11	+0	+0	-6	+13	1.8
2026	35	MLB	Pittsburgh Pirates	—	280	251	51	7	0	8	27	80	2	0	0	203	286	327	612	124	264	29	10	280	77	-8	+0	+0	-3	+6	-0.5
2026	35	INTL	Gigantes del Cibao	—	32	22	4	1	0	1	9	8	1	1	0	182	438	364	801	182	231	25	28	381	144	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6995	6296	1678	287	21	304	631	1570	28	29	14	267	336	464	800	197	308	22	9	352	124	+201	+0	+1	-54	+152	30.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	17	ROK MLE	DSL Marlins	—	263	240	41	8	0	3	16	74	0	8	1	171	223	242	464	71	213	28	6	206	26	—	—	—	—	—	—
2009	18	ROK MLE	GCL Marlins	—	244	223	49	15	0	4	13	75	3	4	2	220	272	341	613	121	288	31	5	263	64	—	—	—	—	—	—
2010	19	A MLE	Greensboro Grasshoppers	—	27	26	2	0	0	0	1	13	0	0	0	77	111	77	188		192	48	4	146	-15	—	—	—	—	—	—
2011	20	A MLE	Greensboro Grasshoppers	—	552	516	108	22	5	16	26	169	2	17	2	209	250	364	614	155	272	31	5	263	64	—	—	—	—	—	—
2012	21	A+ MLE	Jupiter Hammerheads	—	539	499	108	24	1	20	34	172	3	8	3	216	271	389	659	172	283	32	6	286	80	—	—	—	—	—	—
2013	22	MLB MLE	Miami Marlins	—	291	275	76	19	4	3	13	57	2	5	1	276	314	407	721	131	326	20	4	319	102	+1	+1	+7	-5	+6	1.0
2013	22	AA MLE	Jacksonville Suns	—	47	44	13	3	1	4	1	11	1	1	0	295	326	682	1.008	386	278	23	2	422	172	—	—	—	—	—	—
2013	22	A+ MLE	Jupiter Hammerheads	—	15	15	3	1	0	0	0	6	0	1	0	200	200	267	467	67	324	40	0	198	20	—	—	—	—	—	—
2014	23	MLB MLE	Miami Marlins	—	612	566	156	28	5	24	40	164	1	3	1	276	325	470	795	194	337	27	7	350	123	+17	+0	+10	+2	+13	4.3
2015	24	MLB MLE	Miami Marlins	—	494	460	123	29	0	11	29	110	3	2	3	267	315	402	717	135	320	22	6	319	102	+1	-1	+2	+2	+11	1.6
2015	24	AAA MLE	New Orleans Zephyrs	—	132	124	35	10	1	4	7	29	1	1	0	282	326	476	802	194	338	22	5	344	119	—	—	—	—	—	—
2016	25	MLB MLE	Miami Marlins	—	608	559	152	25	6	24	41	115	4	0	3	272	326	467	793	195	296	19	7	350	123	+17	-1	-0	+2	+13	3.1
2017	26	MLB MLE	Miami Marlins	—	679	617	198	33	2	39	60	144	0	1	3	321	381	571	952	250	355	21	9	413	166	+53	-1	-1	-7	+15	6.0
2018	27	MLB MLE	St. Louis Cardinals	—	628	585	164	15	2	25	36	110	3	3	0	280	325	441	766	161	309	18	6	339	115	+12	+1	-5	-7	+14	1.5
2019	28	MLB MLE	St. Louis Cardinals	—	549	487	118	22	1	31	60	114	1	12	2	242	327	483	809	240	257	21	11	358	128	+18	+2	-5	-6	+12	2.1
2020	29	MLB MLE	Atlanta Braves	—	267	231	77	14	0	18	35	60	0	0	0	333	421	628	1.049	294	391	22	13	452	192	+29	+0	-2	-3	+6	3.1
2021	30	MLB MLE	Atlanta Braves	—	208	188	40	6	0	7	19	46	1	0	0	213	288	356	645	144	244	22	9	292	84	-4	+0	-1	-4	+5	-0.4
2022	31	MLB MLE	Atlanta Braves	—	507	470	106	19	0	23	31	122	2	2	1	226	276	413	689	187	252	24	6	302	91	-6	+0	-3	-6	+11	-0.4
2023	32	MLB MLE	Atlanta Braves	—	592	531	145	29	1	40	56	134	3	0	0	273	346	557	903	284	293	23	9	391	150	+36	+0	-0	-6	+13	4.3
2024	33	MLB MLE	Atlanta Braves	—	688	609	183	31	0	39	72	170	3	1	0	300	377	544	921	243	359	25	10	401	157	+47	+0	+0	-7	+15	5.6
2025	34	MLB MLE	Atlanta Braves	—	592	490	113	19	0	21	92	144	3	0	0	231	356	398	754	167	280	24	16	339	115	+11	+0	+0	-6	+13	1.8
2026	35	MLB MLE	Pittsburgh Pirates	—	280	252	52	7	0	9	26	80	2	0	0	206	286	341	627	135	264	29	9	282	77	-8	+0	+0	-3	+6	-0.5
2008	17	ROK MLE	DSL Marlins	—	263	240	41	8	0	3	16	74	0	8	1	171	223	242	464	71	224	28	6	206	26	—	—	—	—	—	—
2008	17	ROK RAW	DSL Marlins	—	263	233	65	14	0	6	23	61	0	8	1	279	344	416	760	137	341	23	9	332	26	—	—	—	—	—	—
2009	18	ROK MLE	GCL Marlins	—	244	223	49	15	0	4	13	75	3	4	2	220	272	341	613	121	302	31	5	263	64	—	—	—	—	—	—
2009	18	ROK RAW	GCL Marlins	—	244	214	67	22	0	5	22	52	3	4	2	313	385	486	871	173	383	21	9	379	64	—	—	—	—	—	—
2010	19	A MLE	Greensboro Grasshoppers	—	27	26	2	0	0	0	1	13	0	0	0	77	111	77	188		154	48	4	146	-15	—	—	—	—	—	—
2010	19	A RAW	Greensboro Grasshoppers	—	27	25	4	0	0	1	2	10	0	0	0	160	222	280	502	120	214	37	7	229	-15	—	—	—	—	—	—
2011	20	A MLE	Greensboro Grasshoppers	—	552	516	108	22	5	16	26	169	2	17	2	209	250	364	614	155	276	31	5	263	64	—	—	—	—	—	—
2011	20	A RAW	Greensboro Grasshoppers	—	552	496	132	28	5	23	46	121	2	17	2	266	331	482	813	216	308	22	8	352	64	—	—	—	—	—	—
2012	21	A+ MLE	2 teams	—	729	671	147	33	2	27	47	233	5	10	8	219	275	395	670	176	290	32	6	286	80	—	—	—	—	—	—
2012	21	A+ RAW	2 teams	—	729	663	171	39	2	33	55	162	5	10	8	258	320	472	792	214	293	22	8	345	80	—	—	—	—	—	—
2013	22	MLB MLE	4 teams	—	498	472	128	31	7	10	20	103	4	8	2	271	306	430	737	159	328	21	4	328	108	+5	+1	+7	-5	+11	1.9
2013	22	MLB RAW	4 teams	—	498	473	130	29	5	10	19	99	4	8	2	275	308	421	729	146	329	20	4	322	108	+5	+1	+7	-5	+11	1.9
2014	23	MLB MLE	Miami Marlins	—	612	566	156	28	5	24	40	164	1	3	1	276	325	470	795	194	345	27	7	350	123	+17	+0	+10	+2	+13	4.3
2014	23	MLB RAW	Miami Marlins	—	612	565	152	26	5	23	41	164	1	3	1	269	320	455	774	186	337	27	7	339	123	+17	+0	+10	+2	+13	4.3
2015	24	MLB MLE	3 teams	—	654	609	164	41	1	15	38	145	4	3	3	269	316	414	730	144	330	22	6	324	106	+4	-1	+2	+2	+14	2.3
2015	24	MLB RAW	3 teams	—	654	605	161	40	1	16	42	138	4	3	3	266	318	415	733	149	319	21	6	325	106	+4	-1	+2	+2	+14	2.3
2016	25	MLB MLE	Miami Marlins	—	608	559	152	25	6	24	41	115	4	0	3	272	326	467	793	195	302	19	7	350	123	+17	-1	-0	+2	+13	3.1
2016	25	MLB RAW	Miami Marlins	—	608	557	148	23	6	23	43	115	4	0	3	266	323	452	775	187	296	19	7	340	123	+17	-1	-0	+2	+13	3.1
2017	26	MLB MLE	Miami Marlins	—	679	617	198	33	2	39	60	144	0	1	3	321	381	571	952	250	365	21	9	413	166	+53	-1	-1	-7	+15	6.0
2017	26	MLB RAW	Miami Marlins	—	679	613	191	30	2	37	64	144	0	1	3	312	377	548	925	237	355	21	9	403	166	+53	-1	-1	-7	+15	6.0
2018	27	MLB MLE	St. Louis Cardinals	—	628	585	164	15	2	25	36	110	3	3	0	280	325	441	766	161	306	18	6	339	115	+12	+1	-5	-7	+14	1.5
2018	27	MLB RAW	St. Louis Cardinals	—	628	582	163	16	2	23	38	110	3	3	0	280	327	433	760	153	309	18	6	336	115	+12	+1	-5	-7	+14	1.5
2019	28	MLB MLE	St. Louis Cardinals	—	549	487	118	22	1	31	60	114	1	12	2	242	327	483	809	240	254	21	11	358	128	+18	+2	-5	-6	+12	2.1
2019	28	MLB RAW	St. Louis Cardinals	—	549	485	117	23	1	29	62	114	1	12	2	241	328	472	801	231	257	21	11	352	128	+18	+2	-5	-6	+12	2.1
2020	29	MLB MLE	Atlanta Braves	—	267	231	77	14	0	18	35	60	0	0	0	333	421	628	1.049	294	383	22	13	452	192	+29	+0	-2	-3	+6	3.1
2020	29	MLB RAW	Atlanta Braves	—	267	228	77	14	0	18	38	60	0	0	0	338	432	636	1.068	298	391	22	14	459	192	+29	+0	-2	-3	+6	3.1
2021	30	MLB MLE	2 teams	—	328	295	63	9	0	11	30	73	1	0	0	214	288	356	644	142	244	22	9	292	84	-6	+0	-1	-4	+7	-0.4
2021	30	MLB RAW	2 teams	—	328	292	69	10	0	11	33	64	1	0	0	236	316	384	700	147	265	20	10	314	84	-6	+0	-1	-4	+7	-0.4
2022	31	MLB MLE	2 teams	—	568	527	119	21	0	26	35	137	2	2	1	226	277	414	690	188	253	24	6	302	91	-6	+0	-3	-6	+12	-0.4
2022	31	MLB RAW	2 teams	—	568	522	117	20	1	24	40	132	2	2	1	224	282	404	686	180	251	23	7	302	91	-6	+0	-3	-6	+12	-0.4
2023	32	MLB MLE	Atlanta Braves	—	592	531	145	29	1	40	56	134	3	0	0	273	346	557	903	284	292	23	9	391	150	+36	+0	-0	-6	+13	4.3
2023	32	MLB RAW	Atlanta Braves	—	592	530	145	29	1	40	57	134	3	0	0	274	347	558	906	285	293	23	10	392	150	+36	+0	-0	-6	+13	4.3
2024	33	MLB MLE	Atlanta Braves	—	688	609	183	31	0	39	72	170	3	1	0	300	377	544	921	243	356	25	10	401	157	+47	+0	+0	-7	+15	5.6
2024	33	MLB RAW	Atlanta Braves	—	688	606	183	31	0	39	74	170	3	1	0	302	380	546	926	244	359	25	11	403	157	+47	+0	+0	-7	+15	5.6
2025	34	MLB MLE	Atlanta Braves	—	592	490	113	19	0	21	92	144	3	0	0	231	356	398	754	167	277	24	16	339	115	+11	+0	+0	-6	+13	1.8
2025	34	MLB RAW	Atlanta Braves	—	592	487	113	19	0	21	94	144	3	0	0	232	359	400	759	168	280	24	16	341	115	+11	+0	+0	-6	+13	1.8
2026	35	MLB MLE	2 teams	—	312	280	57	7	0	10	29	89	3	1	0	204	285	336	621	132	260	29	9	282	77	-9	+0	+0	-3	+7	-0.5
2026	35	MLB RAW	2 teams	—	312	273	55	8	0	9	36	88	3	1	0	201	301	330	631	128	261	28	12	291	77	-9	+0	+0	-3	+7	-0.5
2008	17	ROK MLE	DSL Marlins	—	263	245	41	8	0	3	16	74	0	8	1	167	223	237	459	69	213	28	6	206	26	—	—	—	—	—	—
2009	18	ROK MLE	GCL Marlins	—	244	226	49	15	0	4	13	75	3	4	2	217	272	336	608	119	288	31	5	263	64	—	—	—	—	—	—
2010	19	A MLE	Greensboro Grasshoppers	—	27	26	2	0	0	0	1	13	0	0	0	77	111	77	188		192	48	4	146	-15	—	—	—	—	—	—
2011	20	A MLE	Greensboro Grasshoppers	—	552	519	108	22	5	16	26	169	2	17	2	208	250	362	612	154	272	31	5	263	64	—	—	—	—	—	—
2012	21	A+ MLE	2 teams	—	729	671	147	33	2	27	47	233	5	10	8	219	275	395	670	176	283	32	6	286	80	—	—	—	—	—	—
2013	22	MLB MLE	4 teams	—	498	471	128	31	7	10	20	103	4	8	2	272	306	431	737	159	319	21	4	328	108	—	—	—	—	—	—
2014	23	MLB MLE	Miami Marlins	—	612	566	156	28	5	24	40	164	1	3	1	276	325	470	795	194	337	27	7	350	123	—	—	—	—	—	—
2015	24	MLB MLE	3 teams	—	654	607	164	41	1	15	38	145	4	3	3	270	316	415	732	145	324	22	6	324	106	—	—	—	—	—	—
2016	25	MLB MLE	Miami Marlins	—	608	558	152	25	6	24	41	115	4	0	3	272	326	468	794	195	296	19	7	350	123	—	—	—	—	—	—
2017	26	MLB MLE	Miami Marlins	—	679	614	198	33	2	39	60	144	0	1	3	322	381	573	954	251	355	21	9	413	166	—	—	—	—	—	—
2018	27	MLB MLE	St. Louis Cardinals	—	628	584	164	15	2	25	36	110	3	3	0	281	325	442	767	161	309	18	6	339	115	—	—	—	—	—	—
2019	28	MLB MLE	St. Louis Cardinals	—	549	483	118	22	1	31	60	114	1	12	2	244	327	487	813	242	257	21	11	358	128	—	—	—	—	—	—
2020	29	MLB MLE	Atlanta Braves	—	267	230	77	14	0	18	35	60	0	0	0	335	421	630	1.051	296	391	22	13	452	192	—	—	—	—	—	—
2021	30	MLB MLE	2 teams	—	328	294	63	9	0	11	30	73	1	0	0	214	288	357	645	143	244	22	9	292	84	—	—	—	—	—	—
2022	31	MLB MLE	2 teams	—	568	526	119	21	0	26	35	137	2	2	1	226	277	414	691	188	252	24	6	302	91	—	—	—	—	—	—
2023	32	MLB MLE	Atlanta Braves	—	592	528	145	29	1	40	56	134	3	0	0	275	346	561	906	286	293	23	9	391	150	—	—	—	—	—	—
2024	33	MLB MLE	Atlanta Braves	—	688	608	183	31	0	39	72	170	3	1	0	301	377	544	922	243	359	25	10	401	157	—	—	—	—	—	—
2025	34	MLB MLE	Atlanta Braves	—	592	492	113	19	0	21	92	144	3	0	0	230	356	396	752	167	280	24	16	339	115	—	—	—	—	—	—
2026	35	MLB MLE	2 teams	—	312	277	57	7	0	10	29	89	3	1	0	206	285	339	625	134	264	29	9	282	77	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	MLB MLE	Atlanta Braves	—	688	608	183	31	0	39	72	170	3	1	0	301	377	544	922	243	359	25	10	401	157	—	—	—	—	—	—
2025	34	MLB MLE	Atlanta Braves	—	592	492	113	19	0	21	92	144	3	0	0	230	356	396	752	167	280	24	16	339	115	—	—	—	—	—	—
2026	35	MLB MLE	2 teams	—	312	277	57	7	0	10	29	89	3	1	0	206	285	339	625	134	264	29	9	282	77	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	PIT	100%	355	308	75	12	0	15	42	92	2	2	1	244	339	431	770	187	296	26	12	342	117	+7	+0	-0	-4	+8	0.4
▸ 2027 — real world (MLB)
2027	36	MLB CTX	PIT	100%	243	211	51	9	0	9	28	63	2	1	0	242	336	419	756	178	296	26	12	336	117	+5	+0	-0	-3	+5	0.8
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	PIT	100%	167	145	33	5	0	6	19	44	1	0	0	232	325	402	726	170	284	26	11	325	106	+1	+0	-7	-2	+4	-0.4
2028	37	MLB CTX	PIT	100%	167	145	33	5	0	6	19	44	1	0	0	229	323	391	714	162	284	26	11	320	106	+1	+0	-7	-2	+4	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	7162	6441	1711	292	21	310	650	1614	29	29	14	266	336	462	797	196	308	23	9	351	113	+203	+0	-6	-56	+155	30.2
/ 162G	—	A+C		—	650	585	156	27	2	28	59	146	3	3	1	267	337	463	800	197	309	22	9	351	113	+18	+0	-1	-5	+14	2.7
Career	—	MLE		—	9800	8890	2268	416	32	399	794	2373	45	74	28	255	319	444	763	189	303	24	8	336	113	+208	+0	-6	-59	+160	31.0
/ 162G	—	MLE		—	650	590	150	28	2	26	53	157	3	5	2	254	319	441	760	186	302	24	8	336	113	+18	+0	-1	-5	+14	2.7

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.

2015 AAANew Orleans Zephyrs · 132 PAwOBA .395 → .344 (−51)K% 17.4% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.42%	÷1.016	×1.290	—	—	22.12%
BB% (unintentional) /PA	7.58%	÷0.997	×0.710	—	×1.033	5.57%
HBP% /PA	0.76%	—	×0.980	—	×1.033	0.77%
Singles /BIP	20.62%	÷0.969	×0.900	×1.048	×1.033	20.72%
Doubles /BIP	12.37%	÷1.012	×0.810	×1.048	×1.033	10.71%
Triples /BIP	1.03%	÷0.985	×0.810	×1.048	×1.033	0.92%
Home runs /BIP	5.15%	÷0.975	×0.780	—	×1.033	4.26%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 94, 2B 102, 3B 97, K 103, BB 99 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .395 → .344; ISO .242 → .199; BABIP .359 → .338. 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).

2013 AAJacksonville Suns · 47 PAwOBA .485 → .422 (−63)K% 19.1% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.15%	÷1.024	×1.220	—	—	22.81%
BB% (unintentional) /PA	4.26%	÷0.980	×0.680	—	×1.027	3.03%
HBP% /PA	2.13%	—	×0.840	—	×1.027	1.84%
Singles /BIP	15.15%	÷0.986	×0.920	—	×1.027	14.53%
Doubles /BIP	9.09%	÷1.029	×0.910	—	×1.027	8.26%
Triples /BIP	3.03%	÷1.082	×0.880	—	×1.027	2.53%
Home runs /BIP	15.15%	÷1.036	×0.800	—	×1.027	12.01%

Factors used: league row SL. Park (home-season share, regressed): HR 107, 1B 97, 2B 106, 3B 116, K 105, BB 96 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .485 → .422; ISO .476 → .399; BABIP .310 → .278. 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).

2013 A+Jupiter Hammerheads · 15 PAwOBA .259 → .198 (−61)K% 26.7% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.019	×1.420	—	—	37.15%
BB% (unintentional) /PA	0.00%	÷0.970	×0.750	—	×0.998	0.00%
HBP% /PA	0.00%	—	×0.930	—	×0.998	0.00%
Singles /BIP	27.27%	÷1.029	×0.920	—	×0.998	24.33%
Doubles /BIP	9.09%	÷1.073	×0.960	—	×0.998	8.12%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.998	0.00%
Home runs /BIP	0.00%	÷0.942	×0.880	—	×0.998	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 106, 2B 115, 3B 80, K 104, BB 94 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .259 → .198; ISO .067 → .051; BABIP .364 → .324. 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).

2012 A+Jupiter Hammerheads · 539 PAwOBA .345 → .286 (−59)K% 21.5% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.52%	÷0.956	×1.420	—	—	31.97%
BB% (unintentional) /PA	8.16%	÷0.971	×0.750	—	×1.012	6.38%
HBP% /PA	0.56%	—	×0.930	—	×1.012	0.52%
Singles /BIP	20.64%	÷1.027	×0.920	×1.020	×1.012	19.08%
Doubles /BIP	7.24%	÷0.977	×0.960	×1.020	×1.012	7.35%
Triples /BIP	0.54%	÷1.150	×0.810	×1.020	×1.012	0.39%
Home runs /BIP	6.43%	÷0.939	×0.880	—	×1.012	6.10%

Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 105, 2B 95, 3B 130, K 91, BB 94 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .345 → .286; ISO .211 → .178; BABIP .301 → .283. 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).

2011 AGreensboro Grasshoppers · 552 PAwOBA .342 → .263 (−79)K% 21.9% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.92%	÷0.958	×1.340	—	—	30.66%
BB% (unintentional) /PA	7.97%	÷1.119	×0.660	—	×1.015	4.77%
HBP% /PA	0.36%	—	×0.770	—	×1.015	0.28%
Singles /BIP	20.27%	÷1.023	×0.920	×0.995	×1.015	18.41%
Doubles /BIP	7.47%	÷0.982	×0.820	×0.995	×1.015	6.30%
Triples /BIP	1.33%	÷0.900	×0.940	×0.995	×1.015	1.41%
Home runs /BIP	6.13%	÷1.143	×0.820	—	×1.015	4.47%

Factors used: league row SAL. Park (home-season share, regressed): HR 129, 1B 105, 2B 96, 3B 80, K 92, BB 124 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .342 → .263; ISO .216 → .161; BABIP .308 → .272. 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).

2010 AGreensboro Grasshoppers · 27 PAwOBA .223 → .146 (−77)K% 37.0% → 49.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.04%	÷1.001	×1.340	—	—	49.58%
BB% (unintentional) /PA	7.41%	÷0.960	×0.660	—	×1.030	5.24%
HBP% /PA	0.00%	—	×0.770	—	×1.030	0.00%
Singles /BIP	20.00%	÷1.026	×0.920	—	×1.030	18.47%
Doubles /BIP	0.00%	÷0.966	×0.820	—	×1.030	0.00%
Triples /BIP	0.00%	÷0.900	×0.940	—	×1.030	0.00%
Home runs /BIP	6.67%	÷1.414	×0.820	—	×1.030	3.98%

Factors used: league row SAL. Park (home-season share, regressed): HR 183, 1B 105, 2B 93, 3B 80, K 100, BB 92 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).

Result: wOBA .223 → .146; ISO .120 → .058; BABIP .214 → .192. 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).

2009 ROKGCL Marlins · 244 PAwOBA .375 → .263 (−112)K% 21.3% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.31%	÷1.000	×1.440	—	—	30.69%
BB% (unintentional) /PA	8.61%	÷1.000	×0.620	—	×1.008	5.38%
HBP% /PA	1.23%	—	×0.720	—	×1.008	0.89%
Singles /BIP	24.69%	÷1.000	×0.820	×0.960	×1.008	19.57%
Doubles /BIP	13.58%	÷1.000	×0.720	×0.960	×1.008	9.45%
Triples /BIP	0.00%	÷1.000	×0.720	×0.960	×1.008	0.00%
Home runs /BIP	3.09%	÷1.000	×0.780	—	×1.008	2.43%

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 ×0.960.

Result: wOBA .375 → .263; ISO .173 → .120; BABIP .383 → .288. 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).

2008 DSLDSL Marlins · 263 PAwOBA .330 → .206 (−124)K% 23.2% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.19%	÷1.000	×1.220	—	—	28.30%
BB% (unintentional) /PA	8.37%	÷1.000	×0.700	—	×1.008	5.90%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	26.16%	÷1.000	×0.680	×0.956	×1.008	17.13%
Doubles /BIP	8.14%	÷1.000	×0.600	×0.956	×1.008	4.70%
Triples /BIP	0.00%	÷1.000	×0.600	×0.956	×1.008	0.00%
Home runs /BIP	3.49%	÷1.000	×0.470	—	×1.008	1.65%

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 ×0.956.

Result: wOBA .330 → .206; ISO .137 → .072; BABIP .341 → .213. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jayson Werthlast yr '17 career totals — 15 seasons, 6,366 PA	9.6	6,366	229	132	267	360	455	-68	-36	32.1	29.8
/162	664	24	14	-7.1	-3.7	3.3	pk7: 27
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 16 projected seasons	11.2	7,405	321	31	267	334	464	-82	-8	32.1	29.6
/162	664	29	3	-7.3	-0.7	2.9	pk7: 27
#2Dusty Baker'68-'86 * career totals — 16 seasons, 8,021 PA	12.1	8,021	242	137	273*	344*	466*	-62	-21	33.0	28.5
/162	664	20	11	-5.1	-1.7	2.7	pk7: 24
#3Ben Oglivie'71-'86 * career totals — 15 seasons, 6,598 PA	9.9	6,598	235	87	270*	337*	482*	-78	+18	29.4	26.9
/162	664	24	9	-7.9	+1.8	3.0	pk7: 24
#4Jermaine Dye'96-'09 * career totals — 14 seasons, 7,214 PA	10.9	7,214	325	46	263*	328*	476*	-80	-29	24.8	24.1
/162	664	30	4	-7.3	-2.7	2.3	pk7: 23
#5Aubrey Huff'00-'12 * career totals — 13 seasons, 6,786 PA	10.2	6,786	242	37	270*	335*	458*	-92	-24	23.5	23.6
/162	664	24	4	-9.0	-2.3	2.3	pk7: 24
#6Kendrys Moraleslast yr '19 career totals — 13 seasons, 5,357 PA	8.1	5,357	213	6	265	327	453	-95	-16	14.9	15.2
/162	664	26	1	-11.8	-2.0	1.8	pk7: 16

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
Marcell Ozuna (OGILVIE)	36	—	—	—	—	242/336/427	185	296	10	1	26%	12%	117	+1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Olmedo Saenz 2007 · MLB	36	51	60	42→30	48	270/335/494	224	301	28	3	21%	7%	132	+3.6	244/324/428	184	279	22	6	21%	9%	112	+2.2	184/295/333	149	200	18	0	19%	12%	82	+0.0
✕Josh Willingham 2014 · MLB	35	44→53	58→65	45	56	236/344/446	210	280	26	4	25%	12%	124	+3.1	228/337/410	182	287	22	6	27%	12%	114	+2.3	208/330/391	183	260	24	3	28%	13%	107	+1.2
✕Mark Reynolds 2019 · MLB	35	49→56	56→65	43→50	50	251/329/439	189	316	25	3	28%	10%	116	+2.5	226/314/391	165	306	20	8	30%	11%	100	+1.3	159/283/285	126	237	13	7	35%	14%	69	-0.3
●Matt Stairs 2005 · MLB	37	51→55	58→65	46→45	55	267/348/476	208	291	26	3	18%	10%	132	+3.6	265/345/452	187	297	21	3	18%	10%	125	+3.2	265/348/461	196	294	22	1	17%	10%	129	+2.4
✕Ryan Raburn 2017 · MLB	36	46→56	52→60	47→50	50	233/313/403	170	295	19	3	27%	10%	103	+1.5	237/310/396	159	330	18	6	31%	9%	99	+1.3	231/299/376	145	344	16	3	35%	8%	92	+0.2
●Darin Ruf 2021 · MLB	35	51→53	58→60	50→40	55	267/349/479	212	311	26	9	23%	11%	132	+3.7	246/345/439	193	313	24	5	27%	12%	122	+3.0	229/335/403	174	296	21	3	28%	13%	111	+1.0
✕Randy Ruiz 2014 · AAA	36	49→54	55→60	43→40	39	254/297/430	176	321	24	5	29%	5%	103	+1.5	232/273/358	126	306	15	7	28%	5%	76	-0.4	211/244/290	79	283	8	4	28%	4%	48	-0.6
✕John Lindsey 2013 · AAA	36	45→51	57→60	43→30	41	241/302/437	196	290	25	2	27%	6%	107	+1.8	224/299/413	189	280	25	3	29%	7%	101	+1.4	204/288/394	190	253	27	0	30%	7%	90	+0.4
●Edwin Encarnación 2019 · MLB	36	45→55	64→70	50	58	251/347/485	235	267	33	3	21%	12%	134	+3.8	232/324/469	237	250	34	3	23%	11%	122	+3.0	214/313/468	254	216	37	0	24%	11%	119	+1.5
✕Eduardo Perez 2005 · MLB	35	49	55→60	47→50	53	255/332/443	189	284	23	8	20%	9%	118	+2.7	255/339/459	204	270	26	5	17%	10%	124	+3.1	250/340/466	216	253	30	0	16%	10%	128	+1.1
✕Adam LaRoche 2015 · MLB	35	47→53	56→65	48→40	56	249/333/437	189	275	25	4	20%	11%	118	+2.6	229/313/383	154	283	18	4	25%	10%	98	+1.2	206/293/336	130	268	15	0	27%	10%	80	-0.1
●Robinson Chirinos 2019 · MLB	35	44→46	58→60	48→50	50	233/339/438	205	298	26	4	30%	10%	121	+2.9	229/329/416	187	300	22	4	30%	10%	112	+2.2	212/314/387	175	281	21	1	30%	10%	101	+0.6
✕Luis Alfonso Garcia 2015 · AAA	36	44→54	54→55	44→40	49	233/293/403	170	257	23	4	20%	8%	95	+1.0	228/293/361	133	267	17	3	21%	8%	85	+0.2	223/293/337	113	264	15	1	21%	9%	79	-0.2
✕Tony Clark 2009 · MLB	37	45→55	54→70	47→30	53	237/323/412	175	291	24	3	27%	11%	108	+1.9	230/321/403	173	289	21	7	26%	11%	105	+1.7	163/274/366	203	176	26	0	27%	13%	81	-0.0
●Raul Ibanez 2008 · MLB	36	55→60	55→60	43→45	52	282/339/473	192	303	22	3	16%	8%	128	+3.3	277/336/479	202	306	23	3	17%	8%	128	+3.3	273/336/474	201	302	23	3	18%	8%	127	+3.5
✕Matt Carpenter 2023 · MLB	37	43→53	59→65	48→45	54	231/335/452	221	277	26	5	26%	12%	122	+2.9	223/328/401	178	294	20	5	29%	12%	108	+1.9	195/318/341	146	271	15	1	31%	14%	92	+0.3
✕J.D. Martinez 2024 · MLB	36	51→61	61→70	48→45	46	266/325/495	229	325	28	2	27%	8%	128	+3.3	250/323/444	194	323	23	4	28%	9%	116	+2.5	239/324/411	172	315	19	0	28%	10%	109	+1.6
✕Mike Napoli 2017 · MLB	35	44→54	58→65	44→50	54	234/330/436	202	288	27	5	28%	12%	116	+2.5	213/300/422	209	269	30	5	32%	10%	103	+1.5	185/274/407	222	216	34	1	34%	9%	88	+0.4
✕Kit Pellow 2009 · AAA	35	49→55	59→60	45→40	45	264/325/469	205	288	28	5	20%	6%	123	+3.0	245/294/385	140	275	16	5	18%	5%	91	+0.7	232/273/340	108	250	12	1	13%	3%	71	-0.5
✕Luke Scott 2013 · MLB	35	45→54	57→65	50→45	48	238/303/439	201	269	24	7	22%	8%	107	+1.8	231/299/401	170	275	19	6	23%	8%	97	+1.1	222/292/375	153	265	17	2	23%	8%	87	+0.2

Marcell Ozuna

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps