Ramón Laureano

LF San Diego Padres

Age 33 R/R 5'9" / 203 lbs MLB HR +5% Svc 7.924 · Ctrl thru 2027 ILInjured 60-Day (D60)

Overview

MLBIL-6040-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	30	AAA/INTL2 orgs	138	.312/.430/.509	4	3	132	—	.300/.354/.467
2024	30	MLBATL	309	.259/.312/.437	11	8	110	0.1
2025	31	MLBSD	488	.281/.345/.512	24	7	140	2.1
2026	32	MLBSD	206	.203/.289/.374	7	7	87	0.1
2027PROJ	33	MLBSD	122	.252/.321/.464	6	3	120	0.5
2028PROJ	34	MLBSD	174	.241/.309/.441	8	2	110	0.0

Last 3 seasons WAR 2.4 · Next 2 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service7.924First FA2028

2027Ext / FA-deal$4M

Skills · percentileStatcast 2024-2026

Barrel%86

xwOBA74

Speed63

Bat Spd57

Avg EV55

CompsJonny Gomes (age 32) · Scott Hairston (age 33) · Josh Willingham (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 122120vR 113

AVG/OBP/SLG.252 / .321 / .464

PA122

HR6

K%27

BB%7

BABIP303

ISO227

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 50 / POW 60

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

xAVG

450.248

POWER60

Barrel%

8613.5

Avg EV

5589.5

Bat Spd

5772.1

EYE50

scouting grade only

SPEED55

Sprint

6328.0

Platoon Splits2024-2026 · 879 PA

vs LHP

vs RHP

Edge

261

618

—

wRC+

139

120

◀L

wOBA

374

346

◀L

ISO

232

206

◀L

BABIP

346

336

—

24.9%

28.0%

◀L

BB%

6.5%

6.2%

◀L

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

Status FA

MLB Debut 2018

Service 7.924 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$4M	+0.5	$2M	-$2M
Totals		$4M		$2M	-$2M

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)
2014	20	ROK	Greeneville Astros	—	61	53	10	0	0	1	7	16	0	4	0	189	283	245	529	57	250	26	11	248	4	—	—	—	—	—	—
2015	21	A	Quad Cities River Bandits	—	314	287	76	15	8	4	21	83	4	18	3	265	324	415	738	150	358	26	7	326	51	—	—	—	—	—	—
2016	22	AA	Corpus Christi Hooks	—	148	124	40	9	2	5	20	33	4	10	3	323	432	548	981	226	407	22	14	431	141	—	—	—	—	—	—
2016	22	A+	Lancaster JetHawks	—	357	293	93	19	5	10	50	86	9	33	11	317	432	519	951	201	411	24	14	415	104	—	—	—	—	—	—
2016	22	INTL	Glendale Desert Dogs	—	50	44	13	4	2	0	3	9	1	5	1	295	354	477	831	182	351	18	6	351	123	—	—	—	—	—	—
2017	23	AA	Corpus Christi Hooks	—	513	463	105	21	6	11	40	110	8	24	5	227	299	369	669	143	273	21	8	300	53	—	—	—	—	—	—
2018	24	MLB	Oakland Athletics	—	176	156	45	12	1	5	16	50	2	7	1	288	362	474	836	186	388	28	9	366	137	+8	+1	+2	+2	+4	1.7
2018	24	AAA	Nashville Sounds	—	284	246	73	12	1	14	31	70	4	11	2	297	384	524	909	228	358	25	11	396	107	—	—	—	—	—	—
2019	25	MLB	Oakland Athletics	—	481	434	125	29	0	24	27	123	11	13	2	288	345	521	866	233	342	26	6	373	144	+25	+2	+0	+2	+10	4.0
2020	26	MLB	Oakland Athletics	—	222	183	39	8	1	6	24	58	12	2	1	213	342	366	709	153	270	26	11	323	108	+2	+0	+2	+1	+5	1.0
2021	27	MLB	Oakland Athletics	—	378	341	84	21	2	14	27	98	9	12	5	246	318	443	761	196	304	26	7	337	118	+8	+0	+0	+1	+8	1.9
2022	28	MLB	Oakland Athletics	—	383	346	73	18	0	13	25	104	12	11	6	211	287	376	663	165	262	27	7	299	92	-4	-0	-4	-5	+8	-0.4
2022	28	AAA	Las Vegas Aviators	—	44	37	5	2	0	0	5	11	2	2	0	135	273	189	462	54	192	25	11	233	9	—	—	—	—	—	—
2023	29	MLB	Cleveland Guardians	—	404	361	81	18	4	9	33	114	9	12	1	224	305	371	676	147	301	28	8	305	94	-3	+2	+1	-5	+9	0.5
2023	29	AAA	Las Vegas Aviators	—	20	15	7	2	0	1	4	3	1	1	0	467	600	800	1.400	333	545	15	20	590	217	—	—	—	—	—	—
2024	30	MLB	Atlanta Braves	—	309	286	74	16	1	11	15	96	7	8	3	259	312	437	749	178	350	31	5	331	110	+4	+0	-5	-5	+7	0.1
2024	30	AAA	Gwinnett Stripers	—	66	58	21	3	1	3	6	17	1	0	0	362	431	603	1.034	241	462	26	9	444	124	—	—	—	—	—	—
2024	30	INTL	Leones del Escogido	—	72	54	14	3	1	1	12	17	4	3	1	259	429	407	836	148	342	24	17	375	140	—	—	—	—	—	—
2025	31	MLB	San Diego Padres	—	488	441	124	26	2	24	35	119	8	7	4	281	345	512	858	231	331	24	7	373	140	+23	-0	-7	-5	+11	2.1
2026	32	MLB	San Diego Padres	—	206	182	37	6	2	7	20	65	2	7	2	203	289	374	663	170	268	32	10	295	87	-3	+1	+1	-2	+4	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3047	2730	682	154	13	113	222	827	72	79	25	250	323	440	763	190	314	27	7	337	114	+50	+6	-8	-16	+66	10.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	20	ROK MLE	Greeneville Astros	—	61	56	8	0	0	1	4	23	0	4	0	143	200	196	396	54	208	38	7	174	4	—	—	—	—	—	—
2015	21	A MLE	Quad Cities River Bandits	—	314	294	60	10	7	3	14	118	4	18	3	204	250	316	566	112	322	38	4	244	51	—	—	—	—	—	—
2016	22	AA MLE	Corpus Christi Hooks	—	148	128	38	8	2	3	16	38	4	10	3	297	392	461	853	164	402	26	11	376	141	—	—	—	—	—	—
2016	22	A+ MLE	Lancaster JetHawks	—	357	309	78	14	4	7	34	120	9	33	11	252	344	392	735	139	366	34	10	322	104	—	—	—	—	—	—
2017	23	AA MLE	Corpus Christi Hooks	—	513	476	92	18	6	8	27	137	8	24	5	193	249	307	555	113	253	27	5	247	53	—	—	—	—	—	—
2018	24	MLB MLE	Oakland Athletics	—	176	156	45	12	1	5	16	50	2	7	1	288	362	474	836	186	388	28	9	370	137	+8	+1	+2	+2	+4	1.7
2018	24	AAA MLE	Nashville Sounds	—	284	253	63	10	1	11	24	85	4	11	2	249	324	427	751	178	319	30	8	326	107	—	—	—	—	—	—
2019	25	MLB MLE	Oakland Athletics	—	481	434	126	28	0	26	27	123	11	13	2	290	347	535	882	244	342	26	6	381	144	+25	+2	+0	+2	+10	4.0
2020	26	MLB MLE	Oakland Athletics	—	222	183	40	8	1	7	24	58	12	2	1	219	347	388	735	169	270	26	11	327	108	+2	+0	+2	+1	+5	1.0
2021	27	MLB MLE	Oakland Athletics	—	378	341	84	20	2	15	27	98	9	12	5	246	318	449	767	202	304	26	7	343	118	+8	+0	+0	+1	+8	1.9
2022	28	MLB MLE	Oakland Athletics	—	383	346	73	17	0	14	25	104	12	11	6	211	287	382	669	171	262	27	7	304	92	-4	-0	-4	-5	+8	-0.4
2022	28	AAA MLE	Las Vegas Aviators	—	44	39	4	1	0	0	3	13	2	2	0	103	205	128	333	26	165	30	7	182	9	—	—	—	—	—	—
2023	29	MLB MLE	Cleveland Guardians	—	404	361	82	18	5	9	33	114	9	12	1	227	308	380	687	152	301	28	8	307	94	-3	+2	+1	-5	+9	0.5
2023	29	AAA MLE	Las Vegas Aviators	—	20	17	7	2	0	1	2	4	1	1	0	412	500	706	1.206	294	453	20	10	489	217	—	—	—	—	—	—
2024	30	MLB MLE	Atlanta Braves	—	309	286	74	16	1	11	15	96	7	8	3	259	312	437	749	178	350	31	5	331	110	+4	+0	-5	-5	+7	0.1
2024	30	AAA MLE	Gwinnett Stripers	—	66	60	18	2	1	2	4	21	1	0	0	300	354	467	821	167	408	32	6	352	124	—	—	—	—	—	—
2025	31	MLB MLE	San Diego Padres	—	488	442	126	28	2	23	34	119	8	7	4	285	347	514	861	229	331	24	7	375	140	+23	-0	-7	-5	+11	2.1
2026	32	MLB MLE	San Diego Padres	—	206	182	37	6	2	7	20	65	2	7	2	203	289	374	663	170	268	32	10	297	87	-3	+1	+1	-2	+4	0.1
2014	20	ROK MLE	Greeneville Astros	—	61	56	8	0	0	1	4	23	0	4	0	143	200	196	396	54	219	38	7	174	4	—	—	—	—	—	—
2014	20	ROK RAW	Greeneville Astros	—	61	53	10	0	0	1	7	16	0	4	0	189	283	245	529	57	250	26	11	248	4	—	—	—	—	—	—
2015	21	A MLE	Quad Cities River Bandits	—	314	294	60	10	7	3	14	118	4	18	3	204	250	316	566	112	328	38	4	244	51	—	—	—	—	—	—
2015	21	A RAW	Quad Cities River Bandits	—	314	287	76	15	8	4	21	83	4	18	3	265	324	415	738	150	358	26	7	326	51	—	—	—	—	—	—
2016	22	A+ MLE	3 teams	—	555	480	128	24	7	12	54	173	14	48	15	267	358	421	778	154	384	31	10	338	115	—	—	—	—	—	—
2016	22	A+ RAW	3 teams	—	555	461	146	32	9	15	73	128	14	48	15	317	425	523	948	206	403	23	13	414	115	—	—	—	—	—	—
2017	23	AA MLE	Corpus Christi Hooks	—	513	476	92	18	6	8	27	137	8	24	5	193	249	307	555	113	252	27	5	247	53	—	—	—	—	—	—
2017	23	AA RAW	Corpus Christi Hooks	—	513	463	105	21	6	11	40	110	8	24	5	227	299	369	669	143	273	21	8	300	53	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	460	409	109	22	2	17	40	135	6	18	3	267	341	455	795	188	351	29	9	343	118	—	—	—	—	—	—
2018	24	AAA RAW	2 teams	—	460	402	118	24	2	19	47	120	6	18	3	294	376	505	881	211	369	26	10	384	118	—	—	—	—	—	—
2019	25	MLB MLE	Oakland Athletics	—	481	434	126	28	0	26	27	123	11	13	2	290	347	535	882	244	341	26	6	381	144	+25	+2	+0	+2	+10	4.0
2019	25	MLB RAW	Oakland Athletics	—	481	434	125	29	0	24	27	123	11	13	2	288	345	521	866	233	342	26	6	373	144	+25	+2	+0	+2	+10	4.0
2020	26	MLB MLE	Oakland Athletics	—	222	183	40	8	1	7	24	58	12	2	1	219	347	388	735	169	273	26	11	327	108	+2	+0	+2	+1	+5	1.0
2020	26	MLB RAW	Oakland Athletics	—	222	183	39	8	1	6	24	58	12	2	1	213	342	366	709	153	270	26	11	323	108	+2	+0	+2	+1	+5	1.0
2021	27	MLB MLE	Oakland Athletics	—	378	341	84	20	2	15	27	98	9	12	5	246	318	449	767	202	301	26	7	343	118	+8	+0	+0	+1	+8	1.9
2021	27	MLB RAW	Oakland Athletics	—	378	341	84	21	2	14	27	98	9	12	5	246	318	443	761	196	304	26	7	337	118	+8	+0	+0	+1	+8	1.9
2022	28	MLB MLE	2 teams	—	427	385	78	19	0	14	28	117	14	13	6	203	281	361	642	158	252	27	7	292	84	-8	+0	-4	-5	+9	-0.7
2022	28	MLB RAW	2 teams	—	427	383	78	20	0	13	30	115	14	13	6	204	286	358	643	154	255	27	7	292	84	-8	+0	-4	-5	+9	-0.7
2023	29	MLB MLE	2 teams	—	424	378	88	19	5	10	35	118	10	13	1	233	314	389	703	156	311	28	8	315	100	-0	+2	+1	-5	+9	0.8
2023	29	MLB RAW	2 teams	—	424	376	88	20	4	10	37	117	10	13	1	234	319	388	707	154	312	28	9	318	100	-0	+2	+1	-5	+9	0.8
2024	30	MLB MLE	3 teams	—	447	408	110	22	2	16	23	140	12	11	4	270	327	451	778	181	367	31	5	335	113	+7	+1	-5	-5	+10	0.8
2024	30	MLB RAW	3 teams	—	447	398	109	22	3	15	33	130	12	11	4	274	348	457	805	183	366	29	7	355	113	+7	+1	-5	-5	+10	0.8
2025	31	MLB MLE	San Diego Padres	—	488	442	126	28	2	23	34	119	8	7	4	285	347	514	861	229	339	24	7	375	140	+23	-0	-7	-5	+11	2.1
2025	31	MLB RAW	San Diego Padres	—	488	441	124	26	2	24	35	119	8	7	4	281	345	512	858	231	331	24	7	373	140	+23	-0	-7	-5	+11	2.1
2026	32	MLB MLE	San Diego Padres	—	206	182	37	6	2	7	20	65	2	7	2	203	289	374	663	170	268	32	10	297	87	-3	+1	+1	-2	+4	0.1
2026	32	MLB RAW	San Diego Padres	—	206	182	37	6	2	7	20	65	2	7	2	203	289	374	663	170	268	32	10	295	87	-3	+1	+1	-2	+4	0.1
2014	20	ROK MLE	Greeneville Astros	—	61	57	8	0	0	1	4	23	0	4	0	140	200	193	393	53	208	38	7	174	4	—	—	—	—	—	—
2015	21	A MLE	Quad Cities River Bandits	—	314	293	60	10	7	3	14	118	4	18	3	205	250	317	567	113	322	38	4	244	51	—	—	—	—	—	—
2016	22	A+ MLE	3 teams	—	555	482	128	24	7	12	54	173	14	48	15	266	358	419	777	154	377	31	10	338	115	—	—	—	—	—	—
2017	23	AA MLE	Corpus Christi Hooks	—	513	473	92	18	6	8	27	137	8	24	5	195	249	309	557	114	253	27	5	247	53	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	460	411	109	22	2	17	40	135	6	18	3	265	341	453	793	187	346	29	9	343	118	—	—	—	—	—	—
2019	25	MLB MLE	Oakland Athletics	—	481	440	126	28	0	26	27	123	11	13	2	286	347	527	875	241	342	26	6	381	144	—	—	—	—	—	—
2020	26	MLB MLE	Oakland Athletics	—	222	184	40	8	1	7	24	58	12	2	1	217	347	386	733	168	270	26	11	327	108	—	—	—	—	—	—
2021	27	MLB MLE	Oakland Athletics	—	378	339	84	20	2	15	27	98	9	12	5	248	318	451	770	204	304	26	7	343	118	—	—	—	—	—	—
2022	28	MLB MLE	2 teams	—	427	382	78	19	0	14	28	117	14	13	6	204	281	364	645	160	252	27	7	292	84	—	—	—	—	—	—
2023	29	MLB MLE	2 teams	—	424	376	88	19	5	10	35	118	10	13	1	234	314	391	705	157	308	28	8	315	100	—	—	—	—	—	—
2024	30	MLB MLE	3 teams	—	447	409	110	22	2	16	23	140	12	11	4	269	327	450	777	181	360	31	5	335	113	—	—	—	—	—	—
2025	31	MLB MLE	San Diego Padres	—	488	443	126	28	2	23	34	119	8	7	4	284	347	512	860	228	331	24	7	375	140	—	—	—	—	—	—
2026	32	MLB MLE	San Diego Padres	—	206	182	37	6	2	7	20	65	2	7	2	203	289	374	663	170	268	32	10	297	87	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	MLB MLE	3 teams	—	447	409	110	22	2	16	23	140	12	11	4	269	327	450	777	181	360	31	5	335	113	—	—	—	—	—	—
2025	31	MLB MLE	San Diego Padres	—	488	443	126	28	2	23	34	119	8	7	4	284	347	512	860	228	331	24	7	375	140	—	—	—	—	—	—
2026	32	MLB MLE	San Diego Padres	—	206	182	37	6	2	7	20	65	2	7	2	203	289	374	663	170	268	32	10	297	87	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	SD	100%	292	264	67	13	2	13	22	78	4	7	2	255	324	467	791	212	310	27	8	346	120	+7	+1	+2	-3	+6	0.5
▸ 2027 — real world (MLB)
2027	33	MLB CTX	SD	100%	122	110	28	5	1	6	9	33	2	3	1	252	321	464	785	213	303	27	7	344	120	+3	+0	+1	-1	+3	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	SD	100%	174	157	38	7	1	7	13	48	2	2	1	244	312	443	755	200	299	28	7	331	110	+2	+0	-4	-2	+4	0.0
2028	34	MLB CTX	SD	100%	174	157	39	7	1	8	13	48	2	2	1	241	309	441	749	200	293	28	7	329	110	+2	+0	-4	-2	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3221	2887	721	161	14	121	235	875	74	81	26	250	322	441	763	191	313	27	7	336	104	+53	+6	-12	-18	+70	10.0
/ 162G	—	A+C		—	650	583	145	32	3	24	47	177	15	16	5	249	321	437	758	189	313	27	7	336	104	+11	+1	-2	-4	+14	2.0
Career	—	MLE		—	5272	4735	1151	236	38	171	379	1505	114	195	53	243	314	417	732	174	316	29	7	322	104	+56	+6	-11	-19	+72	10.6
/ 162G	—	MLE		—	650	584	142	29	5	21	47	186	14	24	7	243	315	418	733	175	317	29	7	322	104	+11	+1	-2	-4	+14	2.1

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.

2024 AAAGwinnett Stripers · 66 PAwOBA .438 → .352 (−86)K% 25.8% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.76%	÷0.958	×1.200	—	—	32.25%
BB% (unintentional) /PA	9.09%	÷1.001	×0.690	—	×0.972	6.09%
HBP% /PA	1.52%	—	×0.940	—	×0.972	1.38%
Singles /BIP	34.15%	÷0.977	×0.930	—	×0.972	31.61%
Doubles /BIP	7.32%	÷0.961	×0.830	—	×0.972	6.14%
Triples /BIP	2.44%	÷1.150	×0.970	—	×0.972	2.00%
Home runs /BIP	7.32%	÷0.968	×0.700	—	×0.972	5.14%

Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 95, 2B 92, 3B 130, K 92, BB 100 — 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).

Result: wOBA .438 → .352; ISO .241 → .175; BABIP .462 → .408. 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).

2023 AAALas Vegas Aviators · 20 PAwOBA .569 → .489 (−80)K% 15.0% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷1.017	×1.200	—	—	17.69%
BB% (unintentional) /PA	15.00%	÷1.055	×0.690	—	×0.982	9.64%
HBP% /PA	5.00%	—	×0.940	—	×0.982	4.62%
Singles /BIP	33.33%	÷0.993	×0.930	—	×0.982	30.65%
Doubles /BIP	16.67%	÷1.124	×0.830	—	×0.982	12.09%
Triples /BIP	0.00%	÷1.133	×0.970	—	×0.982	0.00%
Home runs /BIP	8.33%	÷0.996	×0.700	—	×0.982	5.75%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 99, 2B 125, 3B 127, K 103, BB 111 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .569 → .489; ISO .333 → .266; BABIP .545 → .453. 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 AAALas Vegas Aviators · 44 PAwOBA .228 → .182 (−46)K% 25.0% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.009	×1.200	—	—	29.73%
BB% (unintentional) /PA	11.36%	÷0.992	×0.690	—	×0.992	7.84%
HBP% /PA	4.55%	—	×0.940	—	×0.992	4.24%
Singles /BIP	11.54%	÷0.995	×0.930	—	×0.992	10.69%
Doubles /BIP	7.69%	÷1.088	×0.830	—	×0.992	5.82%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.075	×0.700	—	×0.992	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 115, 1B 99, 2B 118, 3B 80, K 102, BB 98 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .228 → .182; ISO .054 → .040; BABIP .192 → .165. 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).

2018 AAANashville Sounds · 284 PAwOBA .389 → .326 (−63)K% 24.6% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.65%	÷1.055	×1.290	—	—	30.13%
BB% (unintentional) /PA	10.92%	÷0.966	×0.710	—	×1.048	8.41%
HBP% /PA	1.41%	—	×0.980	—	×1.048	1.45%
Singles /BIP	26.14%	÷0.986	×0.900	×0.962	×1.048	24.05%
Doubles /BIP	6.82%	÷0.937	×0.810	×0.962	×1.048	5.94%
Triples /BIP	0.57%	÷1.150	×0.810	×0.962	×1.048	0.40%
Home runs /BIP	7.95%	÷0.988	×0.780	—	×1.048	6.58%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, BB 93 — 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 ×0.962.

Result: wOBA .389 → .326; ISO .228 → .184; BABIP .358 → .319. 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).

2017 AACorpus Christi Hooks · 513 PAwOBA .293 → .247 (−46)K% 21.4% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.44%	÷0.980	×1.220	—	—	26.70%
BB% (unintentional) /PA	7.80%	÷1.056	×0.700	—	×1.027	5.31%
HBP% /PA	1.56%	—	×0.870	—	×1.027	1.39%
Singles /BIP	18.98%	÷1.014	×0.920	—	×1.027	17.68%
Doubles /BIP	5.95%	÷0.964	×0.840	—	×1.027	5.32%
Triples /BIP	1.70%	÷0.900	×0.940	—	×1.027	1.82%
Home runs /BIP	3.12%	÷1.035	×0.800	—	×1.027	2.47%

Factors used: league row TL. Park (home-season share, regressed): HR 107, 1B 103, 2B 93, 3B 80, K 96, BB 111 — 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 .293 → .247; ISO .143 → .121; BABIP .273 → .253. 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 A+Lancaster JetHawks · 357 PAwOBA .410 → .322 (−88)K% 24.1% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.09%	÷0.962	×1.340	—	—	33.54%
BB% (unintentional) /PA	13.73%	÷1.046	×0.710	—	×1.012	9.43%
HBP% /PA	2.52%	—	×0.790	—	×1.012	2.02%
Singles /BIP	28.50%	÷0.982	×0.910	×1.008	×1.012	26.93%
Doubles /BIP	9.18%	÷1.070	×0.820	×1.008	×1.012	7.17%
Triples /BIP	2.42%	÷0.900	×0.760	×1.008	×1.012	2.08%
Home runs /BIP	4.83%	÷1.252	×0.920	—	×1.012	3.59%

Factors used: league row CAL. Park (home-season share, regressed): HR 150, 1B 96, 2B 114, 3B 80, K 92, BB 109 — 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 ×1.008.

Result: wOBA .410 → .322; ISO .201 → .148; BABIP .411 → .366. 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 AACorpus Christi Hooks · 148 PAwOBA .420 → .376 (−44)K% 22.3% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.30%	÷1.055	×1.220	—	—	25.77%
BB% (unintentional) /PA	13.51%	÷0.932	×0.700	—	×1.042	10.57%
HBP% /PA	2.70%	—	×0.870	—	×1.042	2.45%
Singles /BIP	26.37%	÷0.967	×0.920	×1.049	×1.042	27.44%
Doubles /BIP	9.89%	÷1.017	×0.840	×1.049	×1.042	8.93%
Triples /BIP	2.20%	÷0.977	×0.940	×1.049	×1.042	2.31%
Home runs /BIP	5.49%	÷1.196	×0.800	—	×1.042	3.83%

Factors used: league row TL. Park (home-season share, regressed): HR 139, 1B 93, 2B 103, 3B 95, K 111, BB 86 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .420 → .376; ISO .226 → .183; BABIP .407 → .402. 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 AQuad Cities River Bandits · 314 PAwOBA .319 → .244 (−75)K% 26.4% → 37.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.43%	÷0.960	×1.360	—	—	37.46%
BB% (unintentional) /PA	6.69%	÷1.021	×0.690	—	×1.015	4.59%
HBP% /PA	1.27%	—	×0.780	—	×1.015	1.01%
Singles /BIP	24.02%	÷0.989	×0.920	×0.986	×1.015	22.36%
Doubles /BIP	7.35%	÷1.106	×0.830	×0.986	×1.015	5.52%
Triples /BIP	3.92%	÷0.900	×0.910	×0.986	×1.015	3.97%
Home runs /BIP	1.96%	÷1.032	×0.800	—	×1.015	1.54%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 98, 2B 121, 3B 80, K 92, BB 104 — 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 ×0.986.

Result: wOBA .319 → .244; ISO .150 → .113; BABIP .358 → .322. 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
#1Chris Taylorlast yr '25 career totals — 12 seasons, 3,909 PA	5.9	3,909	110	91	248	327	419	-9	+4	15.9	16.4
/162	664	19	15	-1.6	+0.6	2.7	pk7: 17
#2Josh Reddicklast yr '21 career totals — 13 seasons, 4,879 PA	7.3	4,879	146	61	262	321	426	-52	-8	13.1	13.0
/162	664	20	8	-7.1	-1.1	1.8	pk7: 13
#3Mike Davis'80-'89 * career totals — 9 seasons, 3,298 PA	5.0	3,298	91	134	256*	313*	432*	-31	+13	11.4	12.4
/162	664	18	27	-6.2	+2.5	2.3	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	5.1	3,356	127	84	251	320	443	-36	-5	11.4	11.0
/162	664	25	17	-7.1	-1.1	2.3	pk7: 10
#4Leon Roberts'74-'84 * career totals — 10 seasons, 3,066 PA	4.6	3,066	78	26	263*	331*	450*	-33	+3	9.7	10.7
/162	664	17	6	-7.2	+0.7	2.1	pk7: 12
#5Jeffrey Hammonds'93-'05 * career totals — 12 seasons, 3,404 PA	5.1	3,404	110	67	260*	323*	434*	-25	+1	8.6	8.7
/162	664	21	13	-4.8	+0.2	1.7	pk7: 9
#6Jody Gerutlast yr '10 career totals — 6 seasons, 1,992 PA	3.0	1,992	59	30	262	325	433	-11	+0	7.3	7.3
/162	664	20	10	-3.6	+0.1	2.4	pk7: 7

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
Ramón Laureano (OGILVIE)	33	50	60	55	50	252/321/463	211	310	6	3	27%	8%	120	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonny Gomes 2013 · MLB	32	48→53	57→60	46→50	52	247/343/446	198	308	26	8	28%	11%	124	+3.1	238/332/400	162	306	21	4	27%	11%	109	+2.0	226/323/364	138	295	17	1	27%	11%	99	+0.6
✕Scott Hairston 2013 · MLB	33	48→51	59→60	50	45	255/304/472	217	284	27	11	21%	6%	116	+2.5	233/284/424	191	273	25	9	25%	6%	97	+1.1	184/235/398	214	183	34	7	25%	5%	74	-0.2
●Josh Willingham 2012 · MLB	33	48→53	61→65	49→45	55	254/349/478	223	292	29	7	23%	11%	133	+3.7	239/345/453	214	284	27	4	25%	12%	126	+3.2	227/344/433	206	272	26	2	26%	13%	122	+2.4
●AJ Pollock 2021 · MLB	33	48→58	62→65	48→55	45	263/316/489	226	288	31	10	22%	6%	124	+3.1	261/312/453	192	293	24	8	20%	6%	114	+2.3	253/304/430	177	284	22	7	19%	6%	107	+1.1
●Jorge Cantu 2015 · AAA	33	41→51	61→55	49→40	46	234/293/450	215	251	31	7	22%	7%	107	+1.8	241/296/386	145	277	17	6	19%	6%	92	+0.7	233/290/363	130	274	14	4	20%	6%	85	+0.2
✕Garrett Jones 2014 · MLB	33	47→52	58→60	49→50	47	250/305/460	210	280	26	5	22%	7%	112	+2.2	245/299/418	173	290	19	3	22%	7%	101	+1.4	243/299/410	166	289	18	0	22%	7%	99	+0.7
✕Corey Hart 2014 · MLB	32	52→56	59→65	48→55	47	270/331/488	218	314	26	7	23%	7%	128	+3.4	223/278/380	157	274	19	6	26%	6%	84	+0.2	199/249/337	138	242	18	3	26%	5%	62	-0.5
✕Alex Dickerson 2022 · MLB	32	49→56	58→60	49→45	48	257/324/462	206	292	26	4	22%	8%	120	+2.8	217/275/369	152	264	18	5	25%	7%	80	-0.1	183/235/311	127	226	14	1	25%	6%	49	-1.6
✕Justin Upton 2020 · MLB	32	47→57	60→65	46→55	52	249/336/463	214	311	29	8	29%	11%	124	+3.1	221/306/413	192	277	26	6	29%	10%	103	+1.5	195/285/378	183	241	26	4	30%	9%	88	+0.2
✕Preston Wilson 2006 · MLB	32	50→52	58→60	42→55	47	262/325/467	205	308	25	8	24%	8%	122	+2.9	254/305/418	164	308	20	12	23%	6%	103	+1.5	260/302/418	158	312	19	13	23%	5%	102	+1.3
●Charlie Blackmon 2019 · MLB	33	56→59	57→60	49→55	50	287/350/489	202	320	24	12	19%	8%	135	+3.9	279/339/464	185	312	21	6	17%	7%	126	+3.2	276/340/447	171	308	19	3	16%	7%	124	+2.5
✕Vernon Wells 2012 · MLB	33	46→56	57→60	48→50	48	245/289/443	198	249	25	10	15%	6%	103	+1.5	234/281/392	158	248	21	10	16%	6%	88	+0.4	229/278/363	133	246	18	10	15%	6%	80	-0.1
●Matt Kemp 2017 · MLB	32	51→61	59→65	48→55	43	268/310/479	212	308	27	6	23%	6%	120	+2.8	270/310/458	188	317	25	3	23%	6%	114	+2.4	274/320/455	182	325	24	1	23%	6%	119	+1.6
●Curtis Granderson 2014 · MLB	33	44→54	61→65	52→50	52	237/323/460	223	283	29	14	27%	11%	119	+2.7	244/337/434	190	289	22	9	23%	12%	118	+2.7	240/340/459	219	272	26	7	22%	12%	127	+3.4
●Casey Blake 2007 · MLB	33	50→54	56→60	44→45	50	260/329/456	196	292	24	7	20%	8%	120	+2.8	266/332/444	178	308	20	5	20%	8%	119	+2.7	267/336/442	175	310	19	3	20%	8%	120	+2.8
●Hunter Pence 2016 · MLB	33	55→63	55→60	52→50	49	279/331/471	192	314	22	13	19%	7%	124	+3.1	271/326/425	154	322	18	5	21%	7%	112	+2.2	265/319/401	135	319	15	4	21%	7%	104	+1.2
●Robinson Chirinos 2018 · MLB	34	45→46	60	45→50	52	242/337/465	223	282	28	4	25%	10%	126	+3.2	231/335/425	194	299	24	4	29%	10%	116	+2.5	222/334/418	196	298	25	2	31%	11%	114	+1.3
●Torii Hunter 2009 · MLB	34	53→63	56→65	49→55	48	276/327/475	199	299	24	16	17%	6%	124	+3.1	279/342/466	187	312	22	14	18%	8%	127	+3.3	276/345/458	182	309	22	11	18%	9%	127	+3.3
✕Rickie Weeks Jr. 2017 · MLB	34	47→57	53→55	50→55	50	240/324/415	175	297	21	10	26%	9%	109	+2.0	235/321/397	162	339	18	10	33%	10%	104	+1.6	205/311/338	133	377	13	5	43%	11%	88	+0.1
✕David Dellucci 2007 · MLB	33	50→46	61→65	45→50	57	264/358/497	233	300	28	7	22%	12%	140	+4.2	244/316/416	172	288	18	7	21%	8%	106	+1.8	229/294/374	145	276	14	6	22%	6%	89	+0.2

Ramón Laureano

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps