Yuli Gurriel

1B San Diego Padres

Age 43 R/R 6'0" / 215 lbs MLB HR +5% Svc 11.000 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	39	MLBMIA	329	.245/.308/.359	4	4	90	-0.7
2024	40	AAAATL	333	.292/.380/.485	12	11	79	—	.226/.289/.357
2024	40	MLBKC	65	.241/.349/.296	0	1	87	-0.7
2025	41	MLBSD	40	.111/.200/.139	0	0	3	-0.5
2026	42	No MLB games played
2027PROJ	43	MLBSD	96	.224/.298/.338	2	2	83	-0.1

Last 3 seasons WAR -1.8 · Next 1 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service11.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

Bat Spd64

Avg EV42

Speed36

xwOBA21

Barrel%10

CompsRaul Sanchez (age 42) · Trenidad Hubbard (age 41) · Jose Luis Sandoval (age 41)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8483vR 78

AVG/OBP/SLG.224 / .298 / .338

PA96

HR2

K%21

BB%8

BABIP270

ISO115

MLB%100%

Value2027 · WAR

Tools · Splits · ContractPOW 35

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT—

xAVG

230.229

POWER35

Barrel%

101.8

Avg EV

4288.5

Bat Spd

6472.8

EYE48

scouting grade only

SPEED48

Sprint

3626.8

Platoon Splits2024-2025 · 92 PA

vs LHP

vs RHP

Edge

—

wRC+

130

▶▶R

wOBA

179

360

▶▶R

ISO

020

091

▶▶R

BABIP

138

423

▶▶R

20.4%

21.1%

◀L

BB%

13.0%

10.5%

◀◀L

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

Status FA

MLB Debut 2016

Service 11.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-0.8M	-$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)
2013	29	INTL	Cuba	—	15	15	4	3	0	0	0	1	0	2	0	267	267	467	733	200	286	7	0	317	101	—	—	—	—	—	—
2014	30	INTL	Cuba	—	25	24	8	0	0	1	0	3	1	1	1	333	360	458	818	125	350	12	0	366	134	—	—	—	—	—	—
2015	31	INTL	Cuba	—	24	20	9	1	0	0	3	1	0	1	0	450	522	500	1.022	50	450	4	12	442	185	—	—	—	—	—	—
2016	32	MLB	Houston Astros	—	137	130	34	7	0	3	5	12	1	1	1	262	294	385	679	123	267	9	4	301	87	-2	-0	+2	+1	+3	0.3
2016	32	AAA	Fresno Grizzlies	—	19	18	4	1	0	1	1	4	0	0	0	222	263	444	708	222	231	21	5	309	31	—	—	—	—	—	—
2016	32	AA	Corpus Christi Hooks	—	19	17	2	0	0	0	1	6	0	0	0	118	167	118	284		167	32	5	132	-35	—	—	—	—	—	—
2016	32	A+	Lancaster JetHawks	—	16	14	6	2	0	1	0	3	0	0	0	429	429	786	1.214	357	417	19	0	460	170	—	—	—	—	—	—
2017	33	MLB	Houston Astros	—	564	529	158	43	1	18	22	62	7	3	2	299	335	486	821	187	308	11	4	358	124	+16	-0	-7	-10	+12	1.2
2018	34	MLB	Houston Astros	—	573	537	156	33	1	13	23	63	6	5	1	291	327	428	755	138	306	11	4	332	108	+6	+1	-3	-11	+12	0.6
2018	34	AA	Corpus Christi Hooks	—	21	21	9	4	0	0	0	4	0	0	0	429	429	619	1.048	190	529	19	0	460	112	—	—	—	—	—	—
2019	35	MLB	Houston Astros	—	612	564	168	40	2	31	37	65	5	5	3	298	347	541	887	243	289	11	6	383	142	+31	-0	-1	-11	+13	3.2
2020	36	MLB	Houston Astros	—	230	211	49	12	1	6	12	27	2	0	1	232	280	384	664	152	235	12	5	289	80	-6	-0	+0	-4	+5	-0.5
2021	37	MLB	Houston Astros	—	605	530	169	31	0	15	59	68	4	1	1	319	391	462	853	143	336	11	10	374	136	+26	-0	-7	-11	+13	2.1
2022	38	MLB	Houston Astros	—	584	545	132	40	0	8	30	73	6	8	0	242	289	360	649	117	266	12	5	290	79	-14	+2	-13	-10	+13	-2.4
2023	39	MLB	Miami Marlins	—	329	298	73	16	3	4	26	44	1	4	0	245	308	359	667	114	272	13	8	297	90	-4	+1	-5	-6	+7	-0.7
2024	40	MLB	Kansas City Royals	—	65	54	13	3	0	0	9	15	0	1	0	241	349	296	646	56	317	23	14	295	87	-1	+0	-1	-7	+1	-0.7
2024	40	AAA	Gwinnett Stripers	—	333	291	85	18	1	12	39	49	2	11	1	292	380	485	864	192	316	15	12	382	79	—	—	—	—	—	—
2025	41	MLB	San Diego Padres	—	40	36	4	1	0	0	4	8	0	0	0	111	200	139	339	28	143	20	10	170	3	-5	+0	-0	-1	+1	-0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3739	3434	956	226	8	98	227	437	32	28	9	278	329	434	763	156	291	12	6	335	113	+58	+2	-34	-70	+81	3.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	32	MLB MLE	Houston Astros	—	137	130	34	7	0	3	5	12	1	1	1	262	294	385	679	123	267	9	4	297	87	-2	-0	+2	+1	+3	0.3
2016	32	AAA MLE	Fresno Grizzlies	—	19	18	4	1	0	1	1	5	0	0	0	222	263	444	708	222	184	26	5	214	31	—	—	—	—	—	—
2016	32	AA MLE	Corpus Christi Hooks	—	19	17	2	0	0	0	1	7	0	0	0	118	167	118	284		149	37	5	117	-35	—	—	—	—	—	—
2016	32	A+ MLE	Lancaster JetHawks	—	16	14	6	2	0	1	0	4	0	0	0	429	429	786	1.214	357	333	25	0	420	170	—	—	—	—	—	—
2017	33	MLB MLE	Houston Astros	—	564	530	157	41	1	19	21	62	7	3	2	296	332	485	816	189	308	11	4	352	124	+16	-0	-7	-10	+12	1.2
2018	34	MLB MLE	Houston Astros	—	573	537	153	31	1	13	23	63	6	5	1	285	322	419	741	134	306	11	4	328	108	+6	+1	-3	-11	+12	0.6
2018	34	AA MLE	Corpus Christi Hooks	—	21	21	7	3	0	0	0	5	0	0	0	333	333	476	810	143	421	24	0	333	112	—	—	—	—	—	—
2019	35	MLB MLE	Houston Astros	—	612	566	167	38	2	32	35	65	5	5	3	295	342	539	880	244	289	11	6	379	142	+31	-0	-1	-11	+13	3.2
2020	36	MLB MLE	Houston Astros	—	230	211	48	11	1	6	12	27	2	0	1	227	276	374	650	147	235	12	5	286	80	-6	-0	+0	-4	+5	-0.5
2021	37	MLB MLE	Houston Astros	—	605	532	166	29	0	15	57	68	4	1	1	312	383	451	834	139	336	11	9	369	136	+26	-0	-7	-11	+13	2.1
2022	38	MLB MLE	Houston Astros	—	584	545	130	38	0	8	30	73	6	8	0	239	286	352	638	114	266	12	5	285	79	-14	+2	-13	-10	+13	-2.4
2023	39	MLB MLE	Miami Marlins	—	329	301	75	17	3	4	23	44	1	4	0	249	305	365	670	116	272	13	7	301	90	-4	+1	-5	-6	+7	-0.7
2024	40	MLB MLE	Kansas City Royals	—	65	54	13	3	0	0	9	15	0	1	0	241	349	296	646	56	317	23	14	296	87	-1	+0	-1	-7	+1	-0.7
2024	40	AAA MLE	Gwinnett Stripers	—	333	305	69	14	1	8	25	61	2	11	1	226	289	357	647	131	258	18	8	285	79	—	—	—	—	—	—
2025	41	MLB MLE	San Diego Padres	—	40	36	4	1	0	0	4	8	0	0	0	111	200	139	339	28	143	20	10	172	3	-5	+0	-0	-1	+1	-0.5
2013	29	INTL MLE	Cuba	—	15	15	4	3	0	0	0	1	0	2	0	267	267	467	733	200	286	7	0	—	—	—	—	—	—	—	—
2013	29	INTL RAW	Cuba	—	15	15	4	3	0	0	0	1	0	2	0	267	267	467	733	200	286	7	0	317	101	—	—	—	—	—	—
2014	30	INTL MLE	Cuba	—	25	24	8	0	0	1	0	3	1	1	1	333	360	458	818	125	350	12	0	—	—	—	—	—	—	—	—
2014	30	INTL RAW	Cuba	—	25	24	8	0	0	1	0	3	1	1	1	333	360	458	818	125	350	12	0	366	134	—	—	—	—	—	—
2015	31	INTL MLE	Cuba	—	24	20	9	1	0	0	3	1	0	1	0	450	522	500	1.022	50	450	4	12	—	—	—	—	—	—	—	—
2015	31	INTL RAW	Cuba	—	24	20	9	1	0	0	3	1	0	1	0	450	522	500	1.022	50	450	4	12	442	185	—	—	—	—	—	—
2016	32	MLB MLE	4 teams	—	191	180	43	9	0	4	6	28	1	1	1	239	267	356	623	117	257	15	3	281	77	-5	-0	+2	+1	+4	0.1
2016	32	MLB RAW	4 teams	—	191	179	46	10	0	5	7	25	1	1	1	257	289	397	685	140	268	13	4	298	77	-5	-0	+2	+1	+4	0.1
2017	33	MLB MLE	Houston Astros	—	564	530	157	41	1	19	21	62	7	3	2	296	332	485	816	189	303	11	4	352	124	+16	-0	-7	-10	+12	1.2
2017	33	MLB RAW	Houston Astros	—	564	529	158	43	1	18	22	62	7	3	2	299	335	486	821	187	308	11	4	358	124	+16	-0	-7	-10	+12	1.2
2018	34	MLB MLE	2 teams	—	594	558	160	34	1	13	23	68	6	5	1	287	322	421	743	134	304	11	4	328	108	+6	+1	-3	-11	+13	0.6
2018	34	MLB RAW	2 teams	—	594	558	165	37	1	13	23	67	6	5	1	296	330	435	766	140	313	11	4	336	108	+6	+1	-3	-11	+13	0.6
2019	35	MLB MLE	Houston Astros	—	612	566	167	38	2	32	35	65	5	5	3	295	342	539	880	244	284	11	6	379	142	+31	-0	-1	-11	+13	3.2
2019	35	MLB RAW	Houston Astros	—	612	564	168	40	2	31	37	65	5	5	3	298	347	541	887	243	289	11	6	383	142	+31	-0	-1	-11	+13	3.2
2020	36	MLB MLE	Houston Astros	—	230	211	48	11	1	6	12	27	2	0	1	227	276	374	650	147	230	12	5	286	80	-6	-0	+0	-4	+5	-0.5
2020	36	MLB RAW	Houston Astros	—	230	211	49	12	1	6	12	27	2	0	1	232	280	384	664	152	235	12	5	289	80	-6	-0	+0	-4	+5	-0.5
2021	37	MLB MLE	Houston Astros	—	605	532	166	29	0	15	57	68	4	1	1	312	383	451	834	139	328	11	9	369	136	+26	-0	-7	-11	+13	2.1
2021	37	MLB RAW	Houston Astros	—	605	530	169	31	0	15	59	68	4	1	1	319	391	462	853	143	336	11	10	374	136	+26	-0	-7	-11	+13	2.1
2022	38	MLB MLE	Houston Astros	—	584	545	130	38	0	8	30	73	6	8	0	239	286	352	638	114	261	12	5	285	79	-14	+2	-13	-10	+13	-2.4
2022	38	MLB RAW	Houston Astros	—	584	545	132	40	0	8	30	73	6	8	0	242	289	360	649	117	266	12	5	290	79	-14	+2	-13	-10	+13	-2.4
2023	39	MLB MLE	Miami Marlins	—	329	301	75	17	3	4	23	44	1	4	0	249	305	365	670	116	276	13	7	301	90	-4	+1	-5	-6	+7	-0.7
2023	39	MLB RAW	Miami Marlins	—	329	298	73	16	3	4	26	44	1	4	0	245	308	359	667	114	272	13	8	297	90	-4	+1	-5	-6	+7	-0.7
2024	40	AAA MLE	2 teams	—	398	359	82	17	1	8	34	76	2	12	1	228	299	348	647	120	266	19	9	287	80	—	—	—	—	—	—
2024	40	AAA RAW	2 teams	—	398	345	98	21	1	12	48	64	2	12	1	284	375	455	830	171	316	16	12	368	80	—	—	—	—	—	—
2025	41	MLB MLE	San Diego Padres	—	40	36	4	1	0	0	4	8	0	0	0	111	200	139	339	28	143	20	10	172	3	-5	+0	-0	-1	+1	-0.5
2025	41	MLB RAW	San Diego Padres	—	40	36	4	1	0	0	4	8	0	0	0	111	200	139	339	28	143	20	10	170	3	-5	+0	-0	-1	+1	-0.5
2016	32	MLB MLE	4 teams	—	191	182	43	9	0	4	6	28	1	1	1	236	267	352	619	115	253	15	3	281	77	—	—	—	—	—	—
2017	33	MLB MLE	Houston Astros	—	564	531	157	41	1	19	21	62	7	3	2	296	332	484	816	188	308	11	4	352	124	—	—	—	—	—	—
2018	34	MLB MLE	2 teams	—	594	560	160	34	1	13	23	68	6	5	1	286	322	420	742	134	310	11	4	328	108	—	—	—	—	—	—
2019	35	MLB MLE	Houston Astros	—	612	567	167	38	2	32	35	65	5	5	3	295	342	538	880	243	289	11	6	379	142	—	—	—	—	—	—
2020	36	MLB MLE	Houston Astros	—	230	214	48	11	1	6	12	27	2	0	1	224	276	369	645	145	235	12	5	286	80	—	—	—	—	—	—
2021	37	MLB MLE	Houston Astros	—	605	539	166	29	0	15	57	68	4	1	1	308	383	445	828	137	336	11	9	369	136	—	—	—	—	—	—
2022	38	MLB MLE	Houston Astros	—	584	543	130	38	0	8	30	73	6	8	0	239	286	354	639	114	266	12	5	285	79	—	—	—	—	—	—
2023	39	MLB MLE	Miami Marlins	—	329	302	75	17	3	4	23	44	1	4	0	248	305	364	669	116	272	13	7	301	90	—	—	—	—	—	—
2024	40	AAA MLE	2 teams	—	398	359	82	17	1	8	34	76	2	12	1	228	299	348	647	120	268	19	9	287	80	—	—	—	—	—	—
2025	41	MLB MLE	San Diego Padres	—	40	36	4	1	0	0	4	8	0	0	0	111	200	139	339	28	143	20	10	172	3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	40	AAA MLE	2 teams	—	398	359	82	17	1	8	34	76	2	12	1	228	299	348	647	120	268	19	9	287	80	—	—	—	—	—	—
2025	41	MLB MLE	San Diego Padres	—	40	36	4	1	0	0	4	8	0	0	0	111	200	139	339	28	143	20	10	172	3	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	43	MLB MLE	SD	100%	155	139	33	7	1	3	14	32	1	3	1	228	302	344	646	116	276	21	9	292	83	-3	+0	+0	-3	+3	-0.2
▸ 2027 — real world (MLB)
2027	43	MLB CTX	SD	100%	96	87	19	4	0	2	8	20	1	2	1	224	298	338	637	114	270	21	8	288	83	-2	+0	+0	-2	+2	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3739	3434	956	226	8	98	227	437	32	28	9	278	329	434	763	156	291	12	6	335	103	+58	+2	-34	-70	+81	3.8
/ 162G	—	A+C		—	650	597	165	39	1	17	39	76	6	5	2	276	327	430	758	154	289	12	6	335	103	+10	+0	-6	-12	+14	0.7
Career	—	MLE		—	4307	3964	1072	243	9	112	256	544	36	45	12	270	320	421	742	151	286	13	6	321	103	+56	+2	-34	-72	+83	3.7
/ 162G	—	MLE		—	650	598	162	37	1	17	39	82	5	7	2	271	321	421	742	151	286	13	6	321	103	+10	+0	-6	-12	+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.

2024 AAAGwinnett Stripers · 333 PAwOBA .373 → .285 (−88)K% 14.7% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷0.958	×1.200	—	—	18.43%
BB% (unintentional) /PA	11.71%	÷1.001	×0.690	—	×0.940	7.59%
HBP% /PA	0.60%	—	×0.940	—	×0.940	0.53%
Singles /BIP	22.31%	÷0.977	×0.930	×0.950	×0.940	18.98%
Doubles /BIP	7.44%	÷0.961	×0.830	×0.950	×0.940	5.74%
Triples /BIP	0.41%	÷1.150	×0.970	×0.950	×0.940	0.31%
Home runs /BIP	4.96%	÷0.968	×0.700	—	×0.940	3.37%

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 40 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (12.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .373 → .285; ISO .192 → .138; BABIP .316 → .258. 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 AACorpus Christi Hooks · 21 PAwOBA .447 → .333 (−114)K% 19.0% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷0.997	×1.220	—	—	23.31%
BB% (unintentional) /PA	0.00%	÷1.036	×0.700	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.870	—	×0.940	0.00%
Singles /BIP	29.41%	÷1.023	×0.920	—	×0.940	24.86%
Doubles /BIP	23.53%	÷1.075	×0.840	—	×0.940	17.28%
Triples /BIP	0.00%	÷0.900	×0.940	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.059	×0.800	—	×0.940	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 80, K 99, BB 107 — applied at half strength. Age: age 34 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .447 → .333; ISO .190 → .133; BABIP .529 → .421. 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 AAAFresno Grizzlies · 19 PAwOBA .300 → .214 (−86)K% 21.1% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷0.996	×1.290	—	—	27.26%
BB% (unintentional) /PA	5.26%	÷1.008	×0.710	—	×0.952	3.53%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	14.29%	÷1.000	×0.900	—	×0.952	12.24%
Doubles /BIP	7.14%	÷1.061	×0.810	—	×0.952	5.19%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.952	0.00%
Home runs /BIP	7.14%	÷1.040	×0.780	—	×0.952	5.10%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .300 → .214; ISO .222 → .150; BABIP .231 → .184. 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 · 19 PAwOBA .136 → .117 (−19)K% 31.6% → 36.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.58%	÷1.055	×1.220	—	—	36.50%
BB% (unintentional) /PA	5.26%	÷0.932	×0.700	—	×0.940	3.72%
HBP% /PA	0.00%	—	×0.870	—	×0.940	0.00%
Singles /BIP	18.18%	÷0.967	×0.920	—	×0.940	16.26%
Doubles /BIP	0.00%	÷1.017	×0.840	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.977	×0.940	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.196	×0.800	—	×0.940	0.00%

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 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .136 → .117; ISO .000 → .000; BABIP .167 → .149. 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 · 16 PAwOBA .510 → .420 (−89)K% 18.8% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷0.962	×1.340	—	—	26.11%
BB% (unintentional) /PA	0.00%	÷1.046	×0.710	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.790	—	×0.940	0.00%
Singles /BIP	27.27%	÷0.982	×0.910	—	×0.940	23.75%
Doubles /BIP	18.18%	÷1.070	×0.820	—	×0.940	13.09%
Triples /BIP	0.00%	÷0.900	×0.760	—	×0.940	0.00%
Home runs /BIP	9.09%	÷1.252	×0.920	—	×0.940	6.28%

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 32 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .510 → .420; ISO .357 → .270; BABIP .417 → .333. 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
#1David Peraltalast yr '24 career totals — 11 seasons, 4,590 PA	6.9	4,590	125	39	278	335	448	-49	-36	14.6	14.1
/162	664	18	6	-7.1	-5.2	2.1	pk7: 14
#2Frank Catalanotto'97-'10 * career totals — 12 seasons, 4,292 PA	6.5	4,292	84	45	279*	346*	433*	-50	-27	11.4	11.1
/162	664	13	7	-7.7	-4.1	1.8	pk7: 11
#3David Murphylast yr '15 career totals — 9 seasons, 3,821 PA	5.8	3,821	103	54	274	333	432	-41	-35	9.6	10.1
/162	664	18	9	-7.1	-6.1	1.7	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	5.7	3,795	100	30	279	326	435	-68	-54	9.3	9.9
/162	664	17	5	-11.9	-9.5	1.6	pk7: 10
#4Mike Marshall'81-'91 * career totals — 10 seasons, 3,908 PA	5.9	3,908	148	26	268*	321*	481*	-48	-39	9.3	9.4
/162	664	25	4	-8.2	-6.6	1.6	pk7: 9
#5Mike Ivie'71-'83 * career totals — 8 seasons, 2,962 PA	4.5	2,962	81	22	262*	319*	451*	-46	-22	5.8	6.7
/162	664	18	5	-10.2	-4.9	1.3	pk7: 8
#6Xavier Nadylast yr '12 career totals — 9 seasons, 3,169 PA	4.8	3,169	101	19	270	324	432	-41	-55	3.9	5.0
/162	664	21	4	-8.5	-11.5	0.8	pk7: 6

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
Yuli Gurriel (OGILVIE)	43	—	35	48	48	226/300/341	115	276	2	2	21%	9%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Raul Sanchez 2015 · AAA	42	45→52	41→45	48→50	45	218/283/322	104	274	8	8	23%	6%	73	-0.6	244/310/343	99	289	9	9	18%	8%	87	+0.4	274/340/323	49	314	5	3	13%	8%	89	+0.1
✕Trenidad Hubbard 2005 · MLB	41	48→52	45→40	49→55	54	236/319/361	124	280	12	18	20%	10%	95	+0.9	240/303/337	97	266	8	21	12%	7%	83	+0.1	242/303/315	73	269	4	28	11%	7%	74	-0.4
✕Jose Luis Sandoval 2011 · AAA	41	48→49	42→45	44→40	44	233/278/334	101	268	10	5	18%	5%	72	-0.7	213/256/299	86	259	8	5	20%	5%	56	-1.9	189/221/236	47	242	4	0	23%	4%	25	-2.0
✕Ricardo Saenz 2006 · AAA	44	48→50	51→50	44→30	47	246/302/404	158	286	20	5	22%	7%	98	+1.2	230/288/372	142	270	16	3	21%	7%	86	+0.3	219/279/352	134	254	15	1	20%	7%	78	-0.2
✕Daniel Fernandez 2007 · AAA	41	50	36→30	49→50	50	232/291/300	68	276	3	11	16%	7%	69	-0.9	245/295/336	91	285	7	15	16%	6%	79	-0.2	301/336/362	62	332	3	23	10%	4%	95	+0.2
✕Omar Vizquel 2010 · MLB	43	50→60	37→45	49→55	51	235/283/309	75	258	4	12	11%	6%	68	-1.0	249/303/320	71	280	4	12	12%	7%	78	-0.3	252/305/303	51	284	2	12	11%	7%	75	-0.2
✕Noe Munoz 2013 · AAA	42	47→57	39→40	41→40	48	226/282/306	80	270	7	5	19%	7%	68	-1.0	238/295/345	107	291	10	7	21%	7%	81	-0.1	263/310/380	117	320	12	0	21%	6%	91	+0.2
✕Cornelio Garcia 2007 · AAA	42	57→59	40	47→45	53	273/336/373	100	322	7	8	17%	9%	103	+1.5	237/300/327	90	292	7	9	20%	8%	79	-0.2	210/274/271	60	261	5	6	20%	8%	55	-0.9
✕Pedro Castellano 2012 · AAA	42	52→61	43→50	48→45	44	255/302/361	106	303	12	5	20%	6%	88	+0.4	231/275/344	113	279	13	8	21%	5%	74	-0.6	245/278/363	118	279	15	7	18%	4%	78	-0.1
✕Pat Borders 2005 · MLB	42	46	44→40	50→40	41	229/270/349	120	281	11	13	23%	5%	73	-0.6	205/241/304	99	246	10	7	21%	4%	51	-2.2	194/215/266	72	230	8	2	20%	2%	32	-1.4
✕Julian Yan 2007 · AAA	42	39	53→60	46→45	48	210/282/377	167	252	22	6	27%	9%	86	+0.3	225/281/399	174	263	23	10	24%	7%	90	+0.6	215/268/399	184	239	26	9	23%	6%	83	+0.1
✕Roberto Mendez 2014 · AAA	41	50→56	42→45	48→45	53	243/314/355	112	293	9	5	20%	9%	91	+0.7	238/309/337	99	297	8	9	21%	9%	85	+0.2	235/315/300	65	295	4	7	20%	10%	78	-0.1
✕Francisco Valdez 2010 · AAA	41	50	40	42→30	45	238/279/335	97	263	7	5	13%	4%	73	-0.6	201/233/288	87	235	7	8	18%	4%	45	-2.7	152/158/188	36	175	0	0	13%	1%	-11	-1.2
✕Ruben Rivera 2017 · AAA	43	45→55	44→60	52→55	47	225/287/345	120	268	12	16	21%	7%	79	-0.2	218/280/331	113	270	12	14	23%	7%	73	-0.6	201/255/307	106	244	12	15	23%	6%	57	-0.7
✕Matias Carrillo Sr. 2007 · AAA	44	52→58	48→50	48→50	52	258/308/396	138	262	15	10	10%	6%	98	+1.2	252/297/361	109	267	11	10	10%	6%	86	+0.3	264/302/356	92	277	9	9	8%	5%	88	+0.2
✕Luis Arredondo 2013 · AAA	41	51→61	38→40	52→55	45	242/282/318	76	286	5	17	17%	5%	70	-0.9	245/286/340	95	298	8	17	20%	5%	76	-0.4	278/303/356	77	336	5	21	18%	3%	82	-0.0
✕Ichiro Suzuki 2016 · MLB	42	53→63	37→45	54→60	49	249/294/317	68	283	4	18	14%	6%	74	-0.6	261/318/348	87	300	6	12	14%	8%	90	+0.6	281/342/368	87	323	4	11	13%	8%	104	+0.8
✕Ramon Orantes 2015 · AAA	41	54→59	38→45	39→40	44	258/297/334	76	303	6	5	17%	4%	79	-0.2	231/268/322	91	275	9	6	19%	4%	65	-1.2	240/267/328	88	273	9	0	16%	3%	63	-0.6
✕Sharnol Adriana 2013 · AAA	42	48→58	43→50	35→60	49	235/298/343	108	274	11	5	19%	7%	82	+0.0	234/304/341	107	282	11	11	20%	8%	84	+0.2	285/363/414	128	338	16	11	19%	10%	119	+0.8
✕Sandy Alomar Jr. 2007 · MLB	41	53	40→45	47→40	47	251/290/348	97	272	7	4	12%	5%	80	-0.2	232/271/350	118	269	12	7	18%	5%	74	-0.6	212/234/304	92	248	9	3	19%	3%	47	-0.8

Yuli Gurriel

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps