Luke Raley — OGILVIE

Luke RaleyRF Seattle Mariners

Age 31 L/R 6'3" / 235 lbs MLB K +7%HR -5% Svc 3.616 · Ctrl thru 2028 ILInjured 60-Day (D60)

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 331 proj PA

wRC+†vL 86117vR 128

AVG/OBP/SLG—

PA287

HR0

K%30

BB%7

BABIP307

ISO208

MLB%100%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$1M ctrl surplus

Tools · Splits · ContractCON 40 / POW 55

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT40

Whiff%

3412.7%

xAVG

200.227

POWER55

Barrel%

7812.3

Avg EV

6590.2

Bat Spd

8975.5

EYE50

Chase%

9023.1%

SPEED60

Sprint

7928.6

Platoon Splits2024-2026 · 754 PA

vs LHP

vs RHP

Edge

118

636

—

wRC+

125

▶▶R

wOBA

229

353

▶▶R

ISO

094

215

▶▶R

BABIP

219

327

▶▶R

29.7%

30.5%

—

BB%

7.6%

6.6%

◀L

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

Status Arb-1

MLB Debut 2021

Service 3.616 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.2M	+0.0	$0.0M	-$0.1M
2027	Arb-2	$2M	+0.6	$2M	+$0.3M
2028	Arb-3	$2M	+0.1	$0.3M	+$0.0M (cut)
Totals		$2M		$3M	+$0.2M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2016	21	A	Great Lakes Loons	—	231	200	49	11	4	2	15	47	9	4	4	245	326	370	696	125	301	20	6	306	94	-2	-1	—	—	+5	0.2
2016	21	ROK	Ogden Raptors	—	44	40	20	3	2	2	3	3	1	0	0	500	545	825	1.370	325	514	7	7	587	283	+10	+0	—	—	+1	1.1
2017	22	A+	Rancho Cucamonga Quakes	—	541	478	141	21	11	14	43	124	19	9	1	295	376	473	849	178	372	23	8	377	141	+26	+1	—	—	+12	4.0
2018	23	AA	Chattanooga Lookouts	—	551	484	133	19	8	20	36	137	24	4	0	275	355	471	826	196	338	25	7	362	131	+20	+1	—	—	+12	3.4
2018	23	INTL	Salt River Rafters	—	18	14	3	0	1	0	3	4	0	1	0	214	353	357	710	143	273	22	17	307	94	-0	+0	—	—	+0	0.0
2019	24	AAA	Rochester Red Wings	—	138	126	38	6	0	7	7	42	5	4	0	302	362	516	878	214	403	30	5	387	148	+8	+1	—	—	+3	1.2
2019	24	ROK	GCL Twins	—	20	19	7	0	0	1	0	2	0	0	0	368	368	526	895	158	353	10	0	376	140	+1	+0	—	—	+0	0.1
2019	24	INTL	Salt River Rafters	—	93	82	20	5	1	3	4	21	5	0	0	244	319	439	758	195	283	23	4	330	110	+1	+0	—	—	+2	0.3
2021	26	MLB	Los Angeles Dodgers	—	72	66	12	1	0	2	2	25	4	0	0	182	250	288	538	106	256	35	3	249	55	-4	+0	-1	-4	+2	-0.7
2021	26	AAA	Oklahoma City Dodgers	—	318	272	80	14	2	19	27	74	18	8	3	294	394	570	964	276	339	23	8	420	170	+27	+0	—	—	+7	3.5
2022	27	MLB	Tampa Bay Rays	—	72	61	12	2	0	1	7	24	3	0	0	197	310	279	589	82	297	33	10	276	73	-2	+0	+0	-4	+2	-0.4
2022	27	AAA	Durham Bulls	—	268	227	68	8	1	14	27	73	12	7	2	300	402	529	931	229	383	27	10	408	162	+20	+1	—	—	+6	2.7
2023	28	MLB	Tampa Bay Rays	—	406	357	89	23	3	19	28	128	18	14	3	249	335	490	825	241	330	32	7	361	130	+15	+2	-2	-4	+9	1.9
2024	29	MLB	Seattle Mariners	—	455	404	98	19	2	22	27	135	20	11	2	243	322	463	784	220	305	30	6	344	119	+10	+1	-7	-5	+10	1.0
2025	30	MLB	Seattle Mariners	—	219	183	37	8	0	4	19	64	13	2	1	202	321	311	632	109	284	29	9	292	84	-4	+0	-3	-3	+5	-0.5
2025	30	AAA	Tacoma Rainiers	—	38	35	11	1	0	3	2	12	1	0	0	314	368	600	968	286	400	32	5	421	171	+3	+0	—	—	+1	0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1224	1071	248	53	5	48	83	376	58	27	6	232	321	425	746	193	306	31	7	331	110	+15	+3	-12	-20	+27	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	21	A MLE	Great Lakes Loons	—	231	205	45	9	4	2	10	64	9	4	4	220	286	332	617	112	281	28	4	262	63	-10	-1	—	—	+5	-0.6
2016	21	ROK MLE	Ogden Raptors	—	44	41	16	2	1	2	2	4	1	0	0	390	432	634	1.066	244	402	9	5	436	181	+4	+0	—	—	+1	0.5
2017	22	A+ MLE	Rancho Cucamonga Quakes	—	541	494	117	16	7	11	27	168	19	9	1	237	302	364	666	128	327	31	5	287	80	-13	+1	—	—	+12	0.0
2018	23	AA MLE	Chattanooga Lookouts	—	551	497	114	17	8	15	23	174	24	4	0	229	296	386	682	157	303	32	4	294	85	-10	+1	—	—	+12	0.3
2019	24	AAA MLE	Rochester Red Wings	—	138	129	31	4	0	5	4	51	5	4	0	240	290	388	677	147	350	37	3	293	84	-3	+1	—	—	+3	0.1
2019	24	ROK MLE	GCL Twins	—	20	19	6	0	0	1	0	3	0	0	0	316	316	474	789	158	286	15	0	312	97	-0	+0	—	—	+0	0.0
2021	26	MLB MLE	Los Angeles Dodgers	—	72	66	12	1	0	2	2	25	4	0	0	182	250	288	538	106	256	35	3	236	46	-5	+0	-1	-4	+2	-0.8
2021	26	AAA MLE	Oklahoma City Dodgers	—	318	281	70	12	2	13	18	89	18	8	3	249	334	445	779	196	316	28	6	337	114	+5	+0	—	—	+7	1.3
2022	27	MLB MLE	Tampa Bay Rays	—	72	61	12	2	0	1	7	24	3	0	0	197	310	279	589	82	297	33	10	272	71	-3	+0	+0	-4	+2	-0.4
2022	27	AAA MLE	Durham Bulls	—	268	236	59	6	1	9	18	88	12	7	2	250	335	398	733	148	347	33	7	320	103	+1	+1	—	—	+6	0.7
2023	28	MLB MLE	Tampa Bay Rays	—	406	357	89	23	3	20	28	128	18	14	3	249	335	499	834	249	330	32	7	358	129	+14	+2	-2	-4	+9	1.8
2024	29	MLB MLE	Seattle Mariners	—	455	404	99	19	2	23	27	135	20	11	2	245	324	473	796	228	305	30	6	345	120	+11	+1	-7	-5	+10	1.1
2025	30	MLB MLE	Seattle Mariners	—	219	183	37	8	0	4	19	64	13	2	1	202	321	311	632	109	284	29	9	292	83	-4	+0	-3	-3	+5	-0.5
2025	30	AAA MLE	Tacoma Rainiers	—	38	36	9	1	0	2	1	15	1	0	0	250	289	444	734	194	333	39	3	289	82	-1	+0	—	—	+1	-0.0
2016	21	A MLE	2 teams	—	275	246	59	11	5	3	12	69	10	4	4	240	302	362	664	122	313	25	4	290	82	—	—	—	—	—	—
2016	21	A RAW	2 teams	—	275	240	69	14	6	4	18	50	10	4	4	287	362	446	808	158	340	18	7	351	82	—	—	—	—	—	—
2017	22	A+ MLE	Rancho Cucamonga Quakes	—	541	494	117	16	7	11	27	168	19	9	1	237	302	364	666	128	335	31	5	287	80	—	—	—	—	—	—
2017	22	A+ RAW	Rancho Cucamonga Quakes	—	541	478	141	21	11	14	43	124	19	9	1	295	376	473	849	178	372	23	8	377	80	—	—	—	—	—	—
2018	23	AA MLE	2 teams	—	569	514	118	17	8	16	23	180	24	5	0	230	294	387	681	158	313	32	4	294	85	—	—	—	—	—	—
2018	23	AA RAW	2 teams	—	569	498	136	19	9	20	39	141	24	5	0	273	355	468	823	195	336	25	7	360	85	—	—	—	—	—	—
2019	24	AAA MLE	3 teams	—	251	232	58	7	0	9	6	85	10	4	0	250	298	397	695	147	348	34	2	295	86	—	—	—	—	—	—
2019	24	AAA RAW	3 teams	—	251	227	65	11	1	11	11	65	10	4	0	286	347	489	836	203	351	26	4	365	86	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	390	347	82	13	2	15	20	114	22	8	3	236	319	415	734	179	306	29	5	318	102	—	—	—	—	—	—
2021	26	AAA RAW	2 teams	—	390	338	92	15	2	21	29	99	22	8	3	272	368	515	882	243	324	25	7	388	102	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	340	297	70	8	1	10	25	112	15	7	2	236	326	370	697	135	339	33	7	310	96	—	—	—	—	—	—
2022	27	AAA RAW	2 teams	—	340	288	80	10	1	15	34	97	15	7	2	278	383	476	858	198	365	29	10	380	96	—	—	—	—	—	—
2023	28	MLB MLE	Tampa Bay Rays	—	406	357	89	23	3	20	28	128	18	14	3	249	335	499	834	249	327	32	7	358	129	+14	+2	-2	-4	+9	1.8
2023	28	MLB RAW	Tampa Bay Rays	—	406	357	89	23	3	19	28	128	18	14	3	249	335	490	825	241	330	32	7	361	129	+14	+2	-2	-4	+9	1.8
2024	29	MLB MLE	Seattle Mariners	—	455	404	99	19	2	23	27	135	20	11	2	245	324	473	796	228	306	30	6	345	120	+11	+1	-7	-5	+10	1.1
2024	29	MLB RAW	Seattle Mariners	—	455	404	98	19	2	22	27	135	20	11	2	243	322	463	784	220	305	30	6	344	120	+11	+1	-7	-5	+10	1.1
2025	30	MLB MLE	2 teams	—	257	219	46	9	0	6	20	79	14	2	1	210	316	333	650	123	296	31	8	291	83	-5	+0	-3	-3	+6	-0.5
2025	30	MLB RAW	2 teams	—	257	218	48	9	0	7	21	76	14	2	1	220	328	358	686	138	301	30	8	311	83	-5	+0	-3	-3	+6	-0.5
2016	21	A MLE	2 teams	—	275	251	59	11	5	3	12	69	10	4	4	235	302	355	657	120	300	25	4	290	82	—	—	—	—	—	—
2017	22	A+ MLE	Rancho Cucamonga Quakes	—	541	490	117	16	7	11	27	168	19	9	1	239	302	367	669	129	327	31	5	287	80	—	—	—	—	—	—
2018	23	AA MLE	2 teams	—	569	517	118	17	8	16	23	180	24	5	0	228	294	385	679	157	303	32	4	294	85	—	—	—	—	—	—
2019	24	AAA MLE	3 teams	—	251	233	58	7	0	9	6	85	10	4	0	249	298	395	693	146	342	34	2	295	86	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	390	345	82	13	2	15	20	114	22	8	3	238	319	417	736	180	305	29	5	318	102	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	340	297	70	8	1	10	25	112	15	7	2	236	326	370	697	135	336	33	7	310	96	—	—	—	—	—	—
2023	28	MLB MLE	Tampa Bay Rays	—	406	357	89	23	3	20	28	128	18	14	3	249	335	499	834	249	330	32	7	358	129	—	—	—	—	—	—
2024	29	MLB MLE	Seattle Mariners	—	455	405	99	19	2	23	27	135	20	11	2	244	324	472	795	227	305	30	6	345	120	—	—	—	—	—	—
2025	30	MLB MLE	2 teams	—	257	221	46	9	0	6	20	79	14	2	1	208	316	330	647	122	292	31	8	291	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	28	MLB MLE	Tampa Bay Rays	—	406	357	89	23	3	20	28	128	18	14	3	249	335	499	834	249	330	32	7	358	129	—	—	—	—	—	—
2024	29	MLB MLE	Seattle Mariners	—	455	405	99	19	2	23	27	135	20	11	2	244	324	472	795	227	305	30	6	345	120	—	—	—	—	—	—
2025	30	MLB MLE	2 teams	—	257	221	46	9	0	6	20	79	14	2	1	208	316	330	647	122	292	31	8	291	83	—	—	—	—	—	—
YTD	31	MLB MLE	SEA	—	287	262	59	9	1	15	15	93	7	1	2	225	285	439	724	214	284	32	5	315	99	-0	-1	-1	-3	+6	0.1
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	31	MLB RAW	SEA	—	287	262	59	9	1	15	15	93	7	1	2	225	285	439	724	214	284	32	5	316	99	-0	-1	-1	-3	+6	0.1
YTD	31	MLB RAW	SEA	—	287	262	59	9	1	15	15	93	7	1	2	225	285	439	724	214	284	32	5	316	100	+0	-1	-1	-3	+6	0.1
ROS	31	MLB MLE	SEA	100%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	310	—	—	341	117	—	—	-0	-0	—	—
ROS	31	MLB CTX	SEA	100%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	—	—	—	—	—	—	—	+0	-0	—	—
FULL	31	MLB A+C	SEA	—	287	262	59	9	1	15	15	93	7	1	2	225	285	439	724	214	284	32	5	316	99	-0	-1	-1	-3	+6	0.1
TOT	31	MLB MLE	SEA	—	287	262	59	9	1	15	15	93	7	1	2	225	285	439	724	214	284	32	5	315	99	-0	-1	-1	-3	+6	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	32	MLB MLE	SEA	100%	341	306	71	14	1	16	21	107	11	8	2	232	305	441	746	209	297	31	6	331	110	+4	+1	-3	-4	+7	0.6
2028	33	MLB MLE	SEA	100%	311	279	63	12	1	14	19	99	10	6	2	226	299	427	725	201	290	32	6	323	104	+2	+0	-4	-3	+7	0.1
2029	34	MLB MLE	SEA	100%	268	241	52	9	1	12	16	87	9	3	1	216	289	411	700	195	281	32	6	312	97	-1	+0	-5	-3	+6	-0.3
2027	32	MLB CTX	SEA	100%	341	306	71	14	1	16	21	107	11	8	2	232	305	441	746	209	294	31	6	302	110	+4	+1	-3	-4	+7	0.6
2028	33	MLB CTX	SEA	100%	311	279	63	12	1	14	19	99	10	6	2	226	299	427	725	201	287	32	6	294	104	+2	+0	-4	-3	+7	0.1
2029	34	MLB CTX	SEA	100%	268	241	52	9	1	12	16	87	9	3	1	216	289	411	700	195	278	32	6	284	97	-1	+0	-5	-3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2144	1897	434	88	8	90	139	669	88	44	11	229	311	426	737	197	299	31	6	315	98	+20	+4	-24	-30	+46	1.7
/ 162G	—	A+C		—	650	575	131	27	2	27	42	203	27	13	3	228	311	423	733	195	299	31	6	315	98	+6	+1	-7	-9	+14	0.5
Career	—	MLE		—	4404	3936	924	158	31	155	244	1363	182	81	21	235	309	409	718	174	314	31	6	313	98	+20	+4	-24	-30	+46	1.7
/ 162G	—	MLE		—	650	581	137	23	5	23	36	201	27	12	3	236	311	411	722	176	316	31	6	313	98	+6	+1	-7	-9	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brad Millerlast yr '23 career totals — 11 seasons, 3,531 PA	5.3	3,531	123	43	236	314	416	+7	-38	8.8	9.4
/162	664	23	8	+1.4	-7.2	1.7	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	4.2	2,762	121	60	230	307	432	-30	-30	7.2	7.4
/162	664	29	14	-7.1	-7.2	1.7	pk7: 8
#2Scott Hairstonlast yr '14 career totals — 9 seasons, 2,624 PA	4.0	2,624	106	36	242	297	444	-18	-16	6.0	6.6
/162	664	27	9	-4.5	-4.1	1.5	pk7: 7
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#6John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2

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
Luke Raley (OGILVIE)	31	40	55	60	50	241/314/456	215	310	16	9	31%	6%	117	+1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Seth Brown 2023 · MLB	31	42→48	63→65	51→50	48	238/306/476	239	274	32	11	27%	9%	117	+2.6	242/303/441	199	294	27	8	27%	8%	107	+1.9	242/300/431	189	294	26	5	27%	7%	102	+0.9
●Adolis García 2023 · MLB	30	46→49	56→60	53→50	41	243/293/438	195	306	24	19	29%	6%	103	+1.6	233/297/430	197	285	26	13	27%	8%	103	+1.5	225/291/414	190	270	26	11	27%	8%	94	+0.9
✕Mitch Jones 2010 · MLB	32	40→39	63→65	50→45	41	229/286/465	236	279	32	10	31%	6%	108	+1.9	211/256/378	167	268	20	9	29%	5%	76	-0.4	182/220/327	144	229	16	7	29%	4%	49	-1.8
✕Dallas McPherson 2011 · MLB	31	41→44	59→65	48→50	39	223/283/433	210	309	28	7	37%	7%	99	+1.2	223/270/376	153	326	19	5	36%	6%	80	-0.2	216/261/355	140	317	18	3	36%	6%	69	-0.6
✕Colby Rasmus 2018 · MLB	31	43→53	59→65	48→50	46	231/299/436	205	292	28	6	31%	9%	105	+1.7	228/290/396	168	303	21	8	30%	8%	93	+0.8	174/232/288	114	245	13	0	33%	6%	45	-0.5
✕Justin Maxwell 2014 · MLB	30	45→44	55→60	52→60	45	231/302/423	192	309	23	15	32%	8%	103	+1.6	215/280/348	133	309	15	9	33%	7%	78	-0.3	198/263/304	106	289	12	6	34%	6%	59	-0.8
✕Gregory Polanco 2021 · MLB	29	41→51	56→60	51→55	47	222/294/416	194	279	23	12	29%	9%	99	+1.2	226/296/397	171	284	21	18	27%	8%	95	+0.9	222/294/391	170	271	22	23	26%	9%	88	+0.4
●Todd Frazier 2017 · MLB	31	43→52	61→60	46→50	49	240/307/458	219	261	31	13	22%	8%	114	+2.3	226/321/424	198	254	26	8	23%	11%	111	+2.1	224/326/411	187	254	25	5	22%	11%	107	+1.6
✕Pedro Álvarez 2018 · MLB	31	42→47	56→65	48→45	44	226/281/411	185	271	25	3	27%	7%	93	+0.8	226/282/391	165	283	22	5	28%	7%	88	+0.4	217/278/379	161	264	25	0	28%	8%	82	+0.0
✕Tyler Houston 2001 · MLB	30	45	62→60	46→40	44	251/297/478	226	278	32	7	24%	6%	114	+2.4	269/317/444	175	315	22	4	21%	6%	113	+2.3	281/327/436	155	331	18	1	20%	6%	109	+0.8
✕Brad Miller 2022 · MLB	32	44→54	60	50	53	235/326/452	217	288	28	6	28%	12%	118	+2.7	221/301/371	150	286	19	8	28%	10%	91	+0.6	198/276/305	107	259	15	6	28%	9%	64	-0.4
✕Wil Myers 2021 · MLB	30	50→52	59→60	50→55	47	258/328/478	220	334	27	15	30%	9%	125	+3.2	250/318/422	172	333	20	9	29%	9%	108	+1.9	240/310/391	150	324	18	7	30%	9%	95	+0.5
✕Trayce Thompson 2023 · MLB	32	43→47	61→60	49→50	45	228/306/450	222	311	29	8	35%	9%	111	+2.1	203/278/374	171	294	22	10	36%	9%	83	+0.1	174/247/314	140	253	18	11	37%	8%	56	-1.0
●Eric Thames 2019 · MLB	32	46→53	63→65	53→45	52	243/337/488	245	308	31	9	31%	12%	130	+3.5	241/333/455	214	315	26	7	30%	11%	122	+2.9	235/335/452	217	306	27	4	30%	11%	116	+1.3
●Jay Bruce 2017 · MLB	30	44→54	59→65	48→50	49	237/301/453	216	265	27	8	23%	8%	109	+2.0	243/310/470	227	270	30	4	22%	9%	117	+2.6	235/305/467	232	257	31	2	23%	9%	111	+1.6
✕Patrick Wisdom 2023 · MLB	31	40→45	64→70	45→50	45	222/306/464	242	295	33	9	36%	10%	114	+2.4	219/298/467	248	284	34	10	35%	9%	113	+2.3	198/273/466	267	234	40	8	36%	8%	101	+0.7
✕Brian Goodwin 2021 · MLB	30	48→52	54→60	51→50	47	242/314/432	190	318	21	12	30%	9%	109	+2.0	228/307/381	153	292	17	9	26%	10%	95	+0.9	209/295/342	133	264	16	4	26%	11%	80	-0.1
●Curtis Granderson 2012 · MLB	31	46→56	62→65	55→50	55	250/339/485	235	281	29	18	23%	11%	130	+3.5	236/326/452	216	281	27	12	26%	11%	118	+2.7	240/346/459	219	272	26	7	22%	13%	123	+3.1
✕Valentino Pascucci 2008 · AAA	29	43→44	58→55	51→45	46	231/310/435	205	289	27	10	30%	8%	109	+2.0	219/305/390	171	288	22	5	30%	10%	97	+1.1	207/299/370	163	271	21	3	31%	11%	87	+0.3
●Carlos González 2016 · MLB	30	46→56	62→65	52→55	48	252/310/477	225	280	31	8	23%	8%	118	+2.7	261/322/442	181	308	21	4	22%	8%	114	+2.4	262/325/429	167	315	18	4	22%	8%	108	+1.8

Career Stats + Projections

Career Comps

Career Path Comps