Eddie Rosario

LF Indios de Mayaguez

Age 35 L/R 6'0" / 180 lbs INTL HR +10%K +6% Svc 12.000 · Ctrl thru 2027

Overview

INTLExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	31	MLBATL	516	.255/.306/.450	21	3	109	1.0
2024	32	AAA/INTL2 orgs	137	.189/.243/.323	2	3	41	—	.122/.143/.317
2024	32	MLBATL	319	.175/.217/.316	10	9	44	-2.5
2025	33	AAA/INTL2 orgs	306	.262/.339/.393	5	14	78	—	.257/.313/.390
2026	34	No MLB games played
2027PROJMLE	35	MLBMIL	259	.231/.283/.387	8	7	86	0.0
2028PROJ	36	MLBMIL	119	.217/.267/.360	3	2	75	-0.8

Last 3 seasons WAR -1.5 · Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service12.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

Barrel%47

Speed46

Avg EV44

xwOBA38

Bat Spd33

CompsDavid Newhan (age 35) · Gerardo Parra (age 34) · Vinny Rottino (age 35)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 161 proj PA

wRC+†vL 7286vR 92

AVG/OBP/SLG.229 / .280 / .384

PA161

HR5

K%24

BB%6

ISO156

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2023-2025

CONTACT

xAVG

280.233

POWER

Barrel%

477.8

Avg EV

4488.7

Bat Spd

3369.5

SPEED

Sprint

4627.3

Platoon Splits2024 · 319 PA

vs LHP

vs RHP

Edge

285

—

wRC+

▶▶R

wOBA

198

238

▶▶R

ISO

—

157

—

BABIP

208

195

◀L

17.6%

24.9%

◀◀L

BB%

8.8%

4.6%

◀◀L

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

Status FA

MLB Debut 2015

Service 12.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$0.0M	-$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)
2010	18	ROK	GCL Twins	—	213	194	57	9	2	5	16	28	0	22	5	294	348	438	786	144	317	13	8	345	67	—	—	—	—	—	—
2010	18	INTL	Indios de Mayaguez	—	49	47	10	0	1	0	2	9	0	3	2	213	245	255	500	43	263	18	4	228	40	—	—	—	—	—	—
2011	19	ROK	Elizabethton Twins	—	298	270	91	9	9	21	27	60	0	17	6	337	397	670	1.068	333	370	20	9	455	108	—	—	—	—	—	—
2011	19	INTL	Indios de Mayaguez	—	48	42	9	1	1	0	5	4	1	0	1	214	312	286	598	71	237	8	10	280	76	—	—	—	—	—	—
2012	20	A	Beloit Snappers	—	429	392	116	32	4	12	31	69	1	11	11	296	349	490	839	194	329	16	7	365	96	—	—	—	—	—	—
2012	20	ROK	GCL Twins	—	20	19	7	3	0	1	1	2	0	0	0	368	400	684	1.084	316	375	10	5	467	108	—	—	—	—	—	—
2012	20	INTL	Indios de Mayaguez	—	145	133	45	9	0	4	11	27	0	2	0	338	389	496	885	158	398	19	8	390	150	—	—	—	—	—	—
2013	21	AA	New Britain Rock Cats	—	313	289	82	19	3	4	21	67	0	7	4	284	332	412	744	128	355	21	7	329	81	—	—	—	—	—	—
2013	21	A+	Fort Myers Miracle	—	231	207	68	13	5	6	17	29	2	3	6	329	385	527	912	198	350	13	7	391	111	—	—	—	—	—	—
2013	21	INTL	Puerto Rico	—	226	206	41	5	2	4	15	44	1	7	3	199	257	301	558	102	231	19	7	249	55	—	—	—	—	—	—
2014	22	AA	New Britain Rock Cats	—	336	316	75	20	3	8	17	68	1	8	4	237	278	396	674	158	277	20	5	296	59	—	—	—	—	—	—
2014	22	A+	Fort Myers Miracle	—	34	30	9	0	0	0	4	5	0	1	1	300	382	300	682		360	15	12	322	61	—	—	—	—	—	—
2014	22	INTL	Salt River Rafters	—	110	100	33	4	2	0	5	19	0	10	4	330	362	410	772	80	384	17	5	330	109	—	—	—	—	—	—
2015	23	MLB	Minnesota Twins	—	474	453	121	18	15	13	15	118	0	11	6	267	291	459	750	192	332	25	3	322	101	+1	-0	+5	-6	+10	0.9
2015	23	AAA	Rochester Red Wings	—	100	95	23	2	1	3	5	17	0	1	1	242	280	379	659	137	267	17	5	293	59	—	—	—	—	—	—
2016	24	MLB	Minnesota Twins	—	354	335	90	17	2	10	12	91	2	5	2	269	298	421	719	152	338	26	3	313	95	-2	+0	+2	-6	+8	0.2
2016	24	AAA	Rochester Red Wings	—	169	160	51	14	0	7	7	25	0	5	3	319	347	537	885	219	338	15	4	382	105	—	—	—	—	—	—
2016	24	INTL	Puerto Rico	—	50	44	6	1	0	0	5	8	0	0	0	136	224	159	384	23	162	16	10	186	12	—	—	—	—	—	—
2017	25	MLB	Minnesota Twins	—	589	542	157	33	2	27	35	106	0	9	8	290	333	507	840	218	312	18	6	360	129	+20	-1	-5	-6	+13	2.0
2018	26	MLB	Minnesota Twins	—	592	559	161	31	2	24	30	104	0	8	2	288	324	479	804	191	316	18	5	351	120	+14	+1	-1	-6	+13	2.0
2019	27	MLB	Minnesota Twins	—	590	562	155	28	1	32	22	86	0	3	1	276	303	500	803	224	273	15	4	347	119	+13	+0	-11	-6	+13	0.9
2020	28	MLB	Minnesota Twins	—	231	210	54	7	0	13	19	34	0	3	1	257	319	476	795	219	248	15	8	347	116	+4	+0	-2	-2	+5	0.6
2021	29	MLB	Atlanta Braves	—	412	379	98	19	3	14	26	61	1	11	3	259	308	435	743	177	273	15	6	324	105	+3	+1	-3	-5	+9	0.4
2021	29	AAA	Gwinnett Stripers	—	53	51	10	2	0	4	2	6	0	0	0	196	226	471	697	275	146	11	4	300	27	—	—	—	—	—	—
2022	30	MLB	Atlanta Braves	—	270	250	53	12	1	5	17	68	0	3	0	212	262	328	590	116	267	25	6	263	64	-12	+1	-6	-3	+6	-1.5
2022	30	AAA	Gwinnett Stripers	—	37	33	9	2	0	0	4	11	0	0	0	273	351	333	685	61	409	30	11	316	51	—	—	—	—	—	—
2023	31	MLB	Atlanta Braves	—	516	478	122	24	3	21	34	122	1	3	4	255	306	450	756	195	300	24	7	331	109	+6	-1	-0	-6	+11	1.0
2024	32	MLB	Atlanta Braves	—	319	297	52	12	0	10	16	77	0	9	1	175	217	316	534	141	196	24	5	234	44	-21	+1	-7	-5	+7	-2.5
2024	32	AAA	Syracuse Mets	—	42	40	6	1	2	2	2	9	0	0	1	150	190	425	615	275	138	21	5	261	15	—	—	—	—	—	—
2024	32	INTL	Puerto Rico	—	95	87	18	4	1	0	6	16	1	3	0	207	266	276	542	69	250	17	6	247	53	—	—	—	—	—	—
2025	33	AAA	Nashville Sounds	—	152	128	40	11	0	4	19	33	0	9	2	312	401	492	894	180	375	22	12	384	95	—	—	—	—	—	—
2025	33	INTL	Indios de Mayaguez	—	154	139	30	9	0	1	12	33	0	5	2	216	278	302	580	86	274	21	8	260	62	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4347	4065	1063	201	29	169	226	867	4	65	28	262	301	450	751	188	292	20	5	326	107	+36	+2	-30	-52	+94	5.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	18	ROK MLE	GCL Twins	—	213	200	47	7	1	4	10	40	0	22	5	235	271	340	611	105	266	19	5	267	67	—	—	—	—	—	—
2011	19	ROK MLE	Elizabethton Twins	—	298	281	70	6	6	16	16	85	0	17	6	249	290	484	774	235	300	29	5	328	108	—	—	—	—	—	—
2012	20	A MLE	Beloit Snappers	—	429	401	105	26	3	9	22	93	1	11	11	262	302	409	711	147	313	22	5	310	96	—	—	—	—	—	—
2012	20	ROK MLE	GCL Twins	—	20	19	5	2	0	1	1	3	0	0	0	263	300	526	826	263	280	15	5	328	108	—	—	—	—	—	—
2013	21	AA MLE	New Britain Rock Cats	—	313	296	77	17	3	4	14	80	0	7	4	260	294	378	672	118	336	26	4	288	81	—	—	—	—	—	—
2013	21	A+ MLE	Fort Myers Miracle	—	231	212	58	11	4	5	12	42	2	3	6	274	319	434	753	160	308	18	5	332	111	—	—	—	—	—	—
2014	22	AA MLE	New Britain Rock Cats	—	336	323	71	17	3	7	10	84	1	8	4	220	246	356	602	136	270	25	3	255	59	—	—	—	—	—	—
2014	22	A+ MLE	Fort Myers Miracle	—	34	31	8	0	0	0	3	7	0	1	1	258	324	258	582		320	21	9	258	61	—	—	—	—	—	—
2015	23	MLB MLE	Minnesota Twins	—	474	456	121	18	15	13	12	118	0	11	6	265	284	456	740	191	332	25	3	318	101	+1	-0	+5	-6	+10	0.9
2015	23	AAA MLE	Rochester Red Wings	—	100	96	22	2	1	3	4	20	0	1	1	229	260	365	625	135	251	20	4	256	59	—	—	—	—	—	—
2016	24	MLB MLE	Minnesota Twins	—	354	337	90	17	2	10	10	91	2	5	2	267	292	418	711	151	338	26	3	309	95	-2	+0	+2	-6	+8	0.2
2016	24	AAA MLE	Rochester Red Wings	—	169	163	45	10	0	6	4	30	0	5	3	276	293	448	741	172	299	18	2	323	105	—	—	—	—	—	—
2017	25	MLB MLE	Minnesota Twins	—	589	543	157	33	2	27	34	106	0	9	8	289	331	506	837	217	312	18	6	359	129	+20	-1	-5	-6	+13	2.0
2018	26	MLB MLE	Minnesota Twins	—	592	564	161	31	2	24	25	104	0	8	2	285	316	475	791	190	316	18	4	345	120	+14	+1	-1	-6	+13	2.0
2019	27	MLB MLE	Minnesota Twins	—	590	564	155	28	1	32	20	86	0	3	1	275	300	498	798	223	273	15	3	344	119	+13	+0	-11	-6	+13	0.9
2020	28	MLB MLE	Minnesota Twins	—	231	212	54	7	0	13	17	34	0	3	1	255	310	472	782	217	248	15	7	340	116	+4	+0	-2	-2	+5	0.6
2021	29	MLB MLE	Atlanta Braves	—	412	379	98	19	3	14	26	61	1	11	3	259	308	435	743	177	273	15	6	324	105	+3	+1	-3	-5	+9	0.4
2021	29	AAA MLE	Gwinnett Stripers	—	53	52	7	1	0	3	1	7	0	0	0	135	151	327	478	192	115	13	2	208	27	—	—	—	—	—	—
2022	30	MLB MLE	Atlanta Braves	—	270	250	53	12	1	5	17	68	0	3	0	212	262	328	590	116	267	25	6	263	64	-12	+1	-6	-3	+6	-1.5
2022	30	AAA MLE	Gwinnett Stripers	—	37	34	8	2	0	0	3	13	0	0	0	235	297	294	591	59	355	35	8	244	51	—	—	—	—	—	—
2023	31	MLB MLE	Atlanta Braves	—	516	479	122	24	3	21	33	122	1	3	4	255	304	449	753	194	300	24	6	330	109	+6	-1	-0	-6	+11	1.0
2024	32	MLB MLE	Atlanta Braves	—	319	297	52	12	0	10	16	77	0	9	1	175	217	316	534	141	196	24	5	234	44	-21	+1	-7	-5	+7	-2.5
2024	32	AAA MLE	Syracuse Mets	—	42	41	5	1	2	1	1	11	0	0	1	122	143	317	460	195	125	26	2	191	15	—	—	—	—	—	—
2025	33	AAA MLE	Nashville Sounds	—	152	136	35	9	0	3	11	39	0	9	2	257	313	390	703	132	312	26	7	308	95	—	—	—	—	—	—
2010	18	ROK MLE	2 teams	—	262	247	58	8	2	5	12	50	0	25	7	235	270	344	614	109	272	19	5	267	67	—	—	—	—	—	—
2010	18	ROK RAW	2 teams	—	262	241	67	9	3	5	18	37	0	25	7	278	328	402	731	124	307	14	7	323	67	—	—	—	—	—	—
2011	19	ROK MLE	2 teams	—	346	326	80	7	7	18	18	99	1	17	7	245	287	475	762	230	297	29	5	328	108	—	—	—	—	—	—
2011	19	ROK RAW	2 teams	—	346	312	100	10	10	21	32	64	1	17	7	321	386	619	1.004	298	348	18	9	431	108	—	—	—	—	—	—
2012	20	A MLE	3 teams	—	594	557	147	38	4	13	30	126	1	13	11	264	303	417	719	153	316	21	5	311	96	—	—	—	—	—	—
2012	20	A RAW	3 teams	—	594	544	168	44	4	17	43	98	1	13	11	309	361	498	859	189	347	16	7	374	96	—	—	—	—	—	—
2013	21	AA MLE	3 teams	—	770	718	193	39	11	13	37	173	3	17	13	269	307	408	715	139	333	22	5	307	94	—	—	—	—	—	—
2013	21	AA RAW	3 teams	—	770	702	191	37	10	14	53	140	3	17	13	272	326	413	739	141	318	18	7	324	94	—	—	—	—	—	—
2014	22	AA MLE	3 teams	—	480	455	101	22	4	8	17	118	1	19	9	222	252	341	592	119	277	25	4	255	59	—	—	—	—	—	—
2014	22	AA RAW	3 teams	—	480	446	117	24	5	8	26	92	1	19	9	262	304	392	697	130	309	19	5	306	59	—	—	—	—	—	—
2015	23	MLB MLE	2 teams	—	574	552	143	20	16	16	16	138	0	12	7	259	280	440	720	181	317	24	3	307	94	-4	-0	+5	-6	+12	0.6
2015	23	MLB RAW	2 teams	—	574	548	144	20	16	16	20	135	0	12	7	263	289	445	734	182	320	24	3	317	94	-4	-0	+5	-6	+12	0.6
2016	24	MLB MLE	3 teams	—	573	547	148	29	2	18	16	132	2	10	5	271	294	430	723	159	323	23	3	314	98	-1	+0	+2	-6	+12	0.7
2016	24	MLB RAW	3 teams	—	573	539	147	32	2	17	24	124	2	10	5	273	306	434	740	161	322	22	4	322	98	-1	+0	+2	-6	+12	0.7
2017	25	MLB MLE	Minnesota Twins	—	589	543	157	33	2	27	34	106	0	9	8	289	331	506	837	217	311	18	6	359	129	+20	-1	-5	-6	+13	2.0
2017	25	MLB RAW	Minnesota Twins	—	589	542	157	33	2	27	35	106	0	9	8	290	333	507	840	218	312	18	6	360	129	+20	-1	-5	-6	+13	2.0
2018	26	MLB MLE	Minnesota Twins	—	592	564	161	31	2	24	25	104	0	8	2	285	316	475	791	190	313	18	4	345	120	+14	+1	-1	-6	+13	2.0
2018	26	MLB RAW	Minnesota Twins	—	592	559	161	31	2	24	30	104	0	8	2	288	324	479	804	191	316	18	5	351	120	+14	+1	-1	-6	+13	2.0
2019	27	MLB MLE	Minnesota Twins	—	590	564	155	28	1	32	20	86	0	3	1	275	300	498	798	223	272	15	3	344	119	+13	+0	-11	-6	+13	0.9
2019	27	MLB RAW	Minnesota Twins	—	590	562	155	28	1	32	22	86	0	3	1	276	303	500	803	224	273	15	4	347	119	+13	+0	-11	-6	+13	0.9
2020	28	MLB MLE	Minnesota Twins	—	231	212	54	7	0	13	17	34	0	3	1	255	310	472	782	217	246	15	7	340	116	+4	+0	-2	-2	+5	0.6
2020	28	MLB RAW	Minnesota Twins	—	231	210	54	7	0	13	19	34	0	3	1	257	319	476	795	219	248	15	8	347	116	+4	+0	-2	-2	+5	0.6
2021	29	MLB MLE	2 teams	—	465	431	105	20	3	17	27	68	1	11	3	244	290	422	712	179	251	15	6	310	96	-2	+1	-3	-5	+10	0.1
2021	29	MLB RAW	2 teams	—	465	430	108	21	3	18	28	67	1	11	3	251	298	440	738	188	258	14	6	321	96	-2	+1	-3	-5	+10	0.1
2022	30	MLB MLE	2 teams	—	307	284	61	14	1	5	20	81	0	3	0	215	266	324	590	109	279	26	7	261	62	-14	+1	-6	-3	+7	-1.7
2022	30	MLB RAW	2 teams	—	307	283	62	14	1	5	21	79	0	3	0	219	273	329	602	110	282	26	7	269	62	-14	+1	-6	-3	+7	-1.7
2023	31	MLB MLE	Atlanta Braves	—	516	479	122	24	3	21	33	122	1	3	4	255	304	449	753	194	299	24	6	330	109	+6	-1	-0	-6	+11	1.0
2023	31	MLB RAW	Atlanta Braves	—	516	478	122	24	3	21	34	122	1	3	4	255	306	450	756	195	300	24	7	331	109	+6	-1	-0	-6	+11	1.0
2024	32	MLB MLE	3 teams	—	456	426	71	16	2	14	22	111	1	12	2	167	209	312	522	146	186	24	5	229	41	-32	+2	-7	-5	+10	-3.3
2024	32	MLB RAW	3 teams	—	456	424	76	17	3	12	24	102	1	12	2	179	225	318	543	139	203	22	5	239	41	-32	+2	-7	-5	+10	-3.3
2025	33	INTL MLE	2 teams	—	306	276	71	19	0	5	22	79	0	14	4	257	312	380	693	123	333	26	7	308	95	—	—	—	—	—	—
2025	33	INTL RAW	2 teams	—	306	267	70	20	0	5	31	66	0	14	4	262	339	393	732	131	322	22	10	322	95	—	—	—	—	—	—
2010	18	ROK MLE	2 teams	—	262	248	58	8	2	5	12	50	0	25	7	234	270	343	613	109	266	19	5	267	67	—	—	—	—	—	—
2011	19	ROK MLE	2 teams	—	346	324	80	7	7	18	18	99	1	17	7	247	287	478	765	231	300	29	5	328	108	—	—	—	—	—	—
2012	20	A MLE	3 teams	—	594	558	147	38	4	13	30	126	1	13	11	263	303	416	718	152	312	21	5	311	96	—	—	—	—	—	—
2013	21	AA MLE	3 teams	—	770	724	193	39	11	13	37	173	3	17	13	267	307	405	712	138	324	22	5	307	94	—	—	—	—	—	—
2014	22	AA MLE	3 teams	—	480	459	101	22	4	8	17	118	1	19	9	220	252	338	589	118	275	25	4	255	59	—	—	—	—	—	—
2015	23	MLB MLE	2 teams	—	574	553	143	20	16	16	16	138	0	12	7	259	280	439	719	181	318	24	3	307	94	—	—	—	—	—	—
2016	24	MLB MLE	3 teams	—	573	550	148	29	2	18	16	132	2	10	5	269	294	427	721	158	325	23	3	314	98	—	—	—	—	—	—
2017	25	MLB MLE	Minnesota Twins	—	589	550	157	33	2	27	34	106	0	9	8	285	331	500	831	215	312	18	6	359	129	—	—	—	—	—	—
2018	26	MLB MLE	Minnesota Twins	—	592	562	161	31	2	24	25	104	0	8	2	286	316	477	793	190	316	18	4	345	120	—	—	—	—	—	—
2019	27	MLB MLE	Minnesota Twins	—	590	565	155	28	1	32	20	86	0	3	1	274	300	497	797	223	273	15	3	344	119	—	—	—	—	—	—
2020	28	MLB MLE	Minnesota Twins	—	231	212	54	7	0	13	17	34	0	3	1	255	310	472	782	217	248	15	7	340	116	—	—	—	—	—	—
2021	29	MLB MLE	2 teams	—	465	434	105	20	3	17	27	68	1	11	3	242	290	419	709	177	255	15	6	310	96	—	—	—	—	—	—
2022	30	MLB MLE	2 teams	—	307	284	61	14	1	5	20	81	0	3	0	215	266	324	590	109	277	26	7	261	62	—	—	—	—	—	—
2023	31	MLB MLE	Atlanta Braves	—	516	477	122	24	3	21	33	122	1	3	4	256	304	451	755	195	300	24	6	330	109	—	—	—	—	—	—
2024	32	MLB MLE	3 teams	—	456	430	71	16	2	14	22	111	1	12	2	165	209	309	519	144	188	24	5	229	41	—	—	—	—	—	—
2025	33	INTL MLE	2 teams	—	306	281	71	19	0	5	22	79	0	14	4	253	312	374	686	121	312	26	7	308	95	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	MLB MLE	3 teams	—	456	430	71	16	2	14	22	111	1	12	2	165	209	309	519	144	188	24	5	229	41	—	—	—	—	—	—
2025	33	INTL MLE	2 teams	—	306	281	71	19	0	5	22	79	0	14	4	253	312	374	686	121	312	26	7	308	95	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	35	MLB MLE	MIL	0%	259	240	56	12	1	8	16	62	1	7	2	231	283	387	670	156	277	24	6	296	86	-4	+1	+1	-3	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	36	MLB MLE	MIL	100%	119	111	25	5	1	3	7	30	0	2	1	219	269	361	630	142	267	25	6	279	75	-4	+0	-6	-1	+3	-0.8
2028	36	MLB CTX	MIL	100%	119	111	24	5	1	3	7	30	0	2	1	217	267	360	627	143	262	25	6	278	75	-4	+0	-6	-1	+3	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4466	4176	1087	206	30	172	233	897	4	67	29	260	300	448	748	187	291	20	5	325	95	+32	+2	-36	-54	+97	4.2
/ 162G	—	A+C		—	650	608	158	30	4	25	34	131	1	10	4	260	301	446	746	186	290	20	5	325	95	+5	+0	-5	-8	+14	0.6
Career	—	MLE		—	7931	7441	1887	367	62	257	383	1696	12	185	86	254	291	423	714	170	293	21	5	309	95	+30	+2	-35	-55	+100	4.2
/ 162G	—	MLE		—	650	610	154	30	5	21	31	139	1	15	7	252	290	421	711	169	292	21	5	309	95	+4	+0	-5	-8	+14	0.6

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.

2025 AAANashville Sounds · 152 PAwOBA .382 → .308 (−74)K% 21.7% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.71%	÷1.010	×1.200	—	—	25.78%
BB% (unintentional) /PA	11.18%	÷1.000	×0.690	—	×0.940	7.25%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	26.32%	÷0.983	×0.930	×0.977	×0.940	22.88%
Doubles /BIP	11.58%	÷0.973	×0.830	×0.977	×0.940	9.08%
Triples /BIP	0.00%	÷0.900	×0.970	×0.977	×0.940	0.00%
Home runs /BIP	4.21%	÷1.111	×0.700	—	×0.940	2.49%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 97, 2B 95, 3B 80, K 102, BB 100 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .382 → .308; ISO .180 → .132; BABIP .375 → .312. 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 AAASyracuse Mets · 42 PAwOBA .254 → .191 (−62)K% 21.4% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷0.968	×1.200	—	—	26.58%
BB% (unintentional) /PA	4.76%	÷0.933	×0.690	—	×0.942	3.32%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	3.23%	÷1.006	×0.930	—	×0.942	2.81%
Doubles /BIP	3.23%	÷0.972	×0.830	—	×0.942	2.60%
Triples /BIP	6.45%	÷0.900	×0.970	—	×0.942	6.55%
Home runs /BIP	6.45%	÷1.059	×0.700	—	×0.942	4.02%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .254 → .191; ISO .275 → .204; BABIP .138 → .125. 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).

2022 AAAGwinnett Stripers · 37 PAwOBA .308 → .244 (−64)K% 29.7% → 35.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.73%	÷1.002	×1.200	—	—	35.61%
BB% (unintentional) /PA	10.81%	÷0.998	×0.690	—	×0.962	7.19%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	31.82%	÷1.018	×0.930	—	×0.962	27.98%
Doubles /BIP	9.09%	÷0.966	×0.830	—	×0.962	7.51%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.962	0.00%
Home runs /BIP	0.00%	÷0.981	×0.700	—	×0.962	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .308 → .244; ISO .061 → .048; BABIP .409 → .355. 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).

2021 AAAGwinnett Stripers · 53 PAwOBA .291 → .208 (−83)K% 11.3% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.32%	÷0.975	×1.200	—	—	13.93%
BB% (unintentional) /PA	3.77%	÷1.014	×0.690	—	×0.972	2.50%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	8.89%	÷1.011	×0.930	×0.950	×0.972	7.55%
Doubles /BIP	4.44%	÷1.039	×0.830	×0.950	×0.972	3.28%
Triples /BIP	0.00%	÷1.150	×0.920	×0.950	×0.972	0.00%
Home runs /BIP	8.89%	÷1.001	×0.700	—	×0.972	6.04%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 102, 2B 108, 3B 130, K 95, BB 103 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .291 → .208; ISO .275 → .186; BABIP .146 → .115. 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).

2016 AAARochester Red Wings · 169 PAwOBA .373 → .323 (−51)K% 14.8% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.79%	÷1.007	×1.200	—	—	17.62%
BB% (unintentional) /PA	3.55%	÷0.968	×0.690	—	×1.033	2.62%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	22.22%	÷0.953	×0.930	×0.974	×1.033	21.82%
Doubles /BIP	10.37%	÷1.224	×0.830	×0.974	×1.033	7.07%
Triples /BIP	0.00%	÷0.971	×0.970	×0.974	×1.033	0.00%
Home runs /BIP	5.19%	÷0.951	×0.840	—	×1.033	4.73%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 90, 2B 145, 3B 94, K 101, BB 94 — 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 ×0.974.

Result: wOBA .373 → .323; ISO .219 → .179; BABIP .338 → .299. 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).

2015 AAARochester Red Wings · 100 PAwOBA .285 → .256 (−29)K% 17.0% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.00%	÷1.030	×1.200	—	—	19.80%
BB% (unintentional) /PA	5.00%	÷0.980	×0.690	—	×1.048	3.69%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	21.79%	÷0.979	×0.930	×0.955	×1.048	20.73%
Doubles /BIP	2.56%	÷0.987	×0.830	×0.955	×1.048	2.16%
Triples /BIP	1.28%	÷0.932	×0.970	×0.955	×1.048	1.34%
Home runs /BIP	3.85%	÷0.956	×0.840	—	×1.048	3.54%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 96, 2B 97, 3B 86, K 106, BB 96 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .285 → .256; ISO .137 → .124; BABIP .267 → .251. 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).

2014 AANew Britain Rock Cats · 336 PAwOBA .290 → .255 (−35)K% 20.2% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.24%	÷0.989	×1.220	—	—	24.98%
BB% (unintentional) /PA	5.06%	÷1.155	×0.700	—	×1.027	3.15%
HBP% /PA	0.30%	—	×0.850	—	×1.027	0.26%
Singles /BIP	17.74%	÷0.967	×0.970	×0.995	×1.027	18.20%
Doubles /BIP	8.06%	÷0.999	×0.860	×0.995	×1.027	7.10%
Triples /BIP	1.21%	÷1.011	×0.950	×0.995	×1.027	1.16%
Home runs /BIP	3.23%	÷0.956	×0.780	—	×1.027	2.70%

Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 93, 2B 100, 3B 102, K 98, BB 131 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .290 → .255; ISO .158 → .134; BABIP .277 → .270. 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).

2014 A+Fort Myers Miracle · 34 PAwOBA .314 → .258 (−56)K% 14.7% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷1.002	×1.420	—	—	20.85%
BB% (unintentional) /PA	11.76%	÷1.018	×0.750	—	×0.998	8.65%
HBP% /PA	0.00%	—	×0.930	—	×0.998	0.00%
Singles /BIP	36.00%	÷1.033	×0.920	—	×0.998	31.99%
Doubles /BIP	0.00%	÷1.011	×0.960	—	×0.998	0.00%
Triples /BIP	0.00%	÷0.929	×0.810	—	×0.998	0.00%
Home runs /BIP	0.00%	÷0.995	×0.880	—	×0.998	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 99, 1B 107, 2B 102, 3B 86, K 100, BB 104 — 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 .314 → .258; ISO .000 → .000; BABIP .360 → .320. 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
#1Dan Ford'75-'85 * career totals — 11 seasons, 4,582 PA	6.9	4,582	121	61	266*	324*	459*	-36	-32	12.4	12.5
/162	664	18	9	-5.2	-4.7	1.8	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	7.0	4,627	177	71	259	296	446	-49	-43	10.9	11.8
/162	664	25	10	-7.0	-6.2	1.6	pk7: 13
#2Jeffrey Leonard'77-'90 * career totals — 12 seasons, 5,476 PA	8.2	5,476	144	163	262*	311*	441*	-63	-22	10.3	11.0
/162	664	17	20	-7.7	-2.7	1.2	pk7: 12
#3Candy Maldonado'81-'95 * career totals — 13 seasons, 4,590 PA	6.9	4,590	146	34	252*	320*	452*	-47	-24	10.6	11.0
/162	664	21	5	-6.8	-3.4	1.5	pk7: 11
#4Jay Gibbonslast yr '11 career totals — 9 seasons, 3,177 PA	4.8	3,177	127	2	260	315	453	-30	-30	7.7	8.1
/162	664	27	0	-6.3	-6.3	1.6	pk7: 9
#5Avisaíl Garcíalast yr '24 career totals — 13 seasons, 4,298 PA	6.5	4,298	140	51	263	316	417	-43	-35	6.6	8.0
/162	664	22	8	-6.7	-5.4	1.0	pk7: 9
#6Craig Monroelast yr '09 career totals — 8 seasons, 2,898 PA	4.4	2,898	114	19	253	302	443	-28	-32	3.8	4.3
/162	664	26	4	-6.5	-7.4	0.9	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
Eddie Rosario (OGILVIE)	35	—	—	—	—	229/280/384	155	277	5	4	24%	6%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕David Newhan 2009 · MLB	35	49→59	48→50	53→55	45	245/292/391	146	288	15	15	21%	6%	91	+0.7	233/280/353	120	288	11	9	22%	6%	78	-0.3	227/273/325	98	283	7	5	22%	5%	68	-0.7
✕Gerardo Parra 2021 · MLB	34	49→59	47→50	49→55	47	246/302/378	132	282	14	14	19%	6%	92	+0.7	230/303/360	130	292	13	9	24%	9%	88	+0.5	211/291/307	97	280	8	6	26%	9%	71	-0.3
✕Vinny Rottino 2015 · MLB	35	46→56	46→45	51→55	46	231/281/359	129	264	13	16	18%	6%	80	-0.2	210/273/303	93	271	9	4	24%	7%	64	-1.3	198/264/276	78	255	8	1	24%	7%	53	-1.4
✕Nyjer Morgan 2016 · MLB	36	47→57	45	53→65	48	232/294/356	124	283	13	15	23%	8%	84	+0.1	235/301/356	121	271	12	20	17%	7%	87	+0.4	232/300/343	111	265	10	26	16%	7%	82	-0.0
✕Pedro Swann 2006 · MLB	35	44	49→50	53→45	40	228/279/381	153	275	17	7	24%	4%	84	+0.2	233/280/364	131	292	12	11	24%	5%	80	-0.1	234/279/355	121	296	10	12	24%	5%	78	-0.1
✕Al Martin 2003 · MLB	35	51→57	49→50	50	52	254/320/406	152	287	16	13	18%	8%	105	+1.7	242/297/366	124	291	11	9	20%	7%	87	+0.4	247/291/350	103	302	7	5	20%	5%	81	-0.0
✕Omar Ramirez 2006 · AAA	35	47	49→50	51→50	50	239/296/387	148	259	17	11	16%	7%	92	+0.7	244/302/370	126	272	13	11	15%	7%	91	+0.6	255/315/359	104	282	9	10	13%	7%	90	+0.2
✕Curtis Pride 2005 · MLB	36	48	45	51→55	43	238/292/367	129	300	12	12	24%	6%	86	+0.3	232/305/361	129	313	12	18	27%	9%	89	+0.5	222/299/340	118	307	10	21	29%	9%	81	-0.0
✕Roger Bernadina 2019 · AAA	35	47→57	44→45	53→60	45	227/291/349	122	303	11	18	28%	7%	81	-0.1	245/298/367	122	309	13	10	24%	6%	88	+0.4	269/313/363	95	335	11	4	22%	6%	88	+0.1
✕Gerald Williams 2002 · MLB	35	48→53	47→50	46→55	47	242/290/379	137	268	15	16	16%	6%	88	+0.4	220/275/352	132	252	13	18	18%	7%	76	-0.4	207/244/370	163	230	15	9	18%	4%	67	-0.3
✕Hiram Bocachica 2011 · AAA	35	46	48→55	48→55	47	234/300/376	143	273	16	12	21%	7%	91	+0.7	215/292/369	154	259	17	18	23%	8%	87	+0.4	180/270/341	161	209	18	24	23%	9%	72	-0.4
✕Brian Bogusevic 2017 · MLB	33	50→54	45	53→55	43	248/295/367	120	307	13	18	24%	6%	86	+0.3	238/282/377	139	289	16	11	23%	5%	84	+0.2	236/274/376	140	280	16	6	22%	4%	79	-0.1
✕Brad Snyder 2017 · MLB	35	45→51	53→55	50	42	233/290/402	169	315	23	8	33%	7%	93	+0.8	229/288/389	160	305	19	7	30%	8%	90	+0.6	208/270/377	169	270	21	0	30%	8%	78	-0.1
✕Ryan LaMarre 2023 · MLB	34	48→52	45	51→60	44	231/309/356	124	315	12	21	29%	7%	91	+0.6	217/290/341	124	310	13	19	32%	7%	80	-0.2	141/221/232	91	216	10	33	38%	7%	26	-0.7
✕Chris Richard 2008 · AAA	34	44→52	50→55	48→50	45	227/297/385	158	277	18	10	25%	7%	93	+0.8	224/289/400	176	273	21	6	26%	7%	93	+0.8	217/282/395	177	260	22	2	25%	7%	87	+0.3
✕Chris Dickerson 2017 · MLB	35	50→56	45→50	55→60	44	240/301/365	125	325	12	19	29%	8%	88	+0.5	221/296/350	129	315	12	12	31%	9%	84	+0.1	200/288/321	121	289	11	11	32%	10%	71	-0.4
✕James Adduci 2019 · MLB	34	50→60	44→45	52→60	41	245/283/369	124	316	11	12	26%	5%	82	+0.0	231/268/354	123	305	13	12	28%	5%	74	-0.6	218/247/325	107	289	12	12	29%	4%	57	-1.2
✕Andy Abad 2008 · AAA	35	48	48→50	44→45	46	242/284/379	137	258	17	7	15%	5%	86	+0.3	224/275/334	110	264	11	9	19%	6%	72	-0.7	169/227/206	37	212	0	0	19%	5%	23	-0.9
✕Rene Reyes 2013 · AAA	35	50→60	47→50	54→50	51	247/309/387	140	282	15	19	18%	8%	97	+1.1	248/310/371	123	314	12	13	24%	8%	93	+0.8	255/319/389	134	310	12	8	21%	8%	99	+0.8
✕Felix Perez 2019 · AAA	34	46→54	50→60	43→50	43	236/290/387	150	283	18	7	24%	6%	90	+0.6	231/285/424	193	262	26	5	23%	6%	97	+1.1	216/269/426	210	229	30	0	22%	5%	93	+0.6

Eddie Rosario

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps