Jung Hoo Lee — OGILVIE

Jung Hoo LeeRF San Francisco Giants

Age 27 L/R 6'0" / 196 lbs MLB HR -15%H -3% Svc 2.000 · Ctrl thru 2029

2026 ROS PROJECTION551 act + 9 ros · stats below = ROS only

showingROS

wRC+†vL 88108vR 115

AVG/OBP/SLG.250 / .333 / .250

PA9

HR0

K%11

BB%11

BABIP291

ISO132

MLB%100%

Value2026 · WAR

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

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$41M ctrl surplus

Tools · Recent Form · Splits · ContractCON 60 / POW 40

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT60

Whiff%

903.0%

xAVG

880.282

POWER40

Barrel%

123.3

Avg EV

3087.6

Bat Spd

2368.5

EYE60

Chase%

9015.8%

SPEED55

Sprint

5027.5

Recent Formrolling true talent ⓘ

K%10%▲9% over 100 PA (30d) · proj 11%

BB%7%·8% over 157 PA (45d) · proj 7%

ISO.126·.121 over 182 AB (60d) · proj .132xISO .096 vs .114 prior

HR/BB2.1%·2.3% over 128 BBE (45d) · proj 1.9%barrel% 2.4% vs 3.9% prior

BABIP.299▼.247 over 158 BIP (60d) · proj .309xBABIP .333 vs .350 prior — approach backs the move

SLASH.282/.340/.408·proj .284/.338/.416

Platoon Splits2024-2026 · 879 PA

vs LHP

vs RHP

Edge

238

641

—

wRC+

113

▶▶R

wOBA

275

335

▶▶R

ISO

112

136

▶▶R

BABIP

269

298

▶R

16.4%

9.2%

▶▶R

BB%

4.2%

8.6%

▶▶R

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

Status Pre-Arb

MLB Debut 2024

Service 2.000 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$2M	+0.1	$0.4M	-$1M
2027	Ext	$19M	+0.9	$3M	-$14M
2028	Ext	$19M	+0.7	$2M	-$13M
2029	Ext	$19M	+0.5	$2M	-$12M
Totals		$58M		$8M	-$40M

Underwater contract
Projected production over the remaining contract is worth -$40M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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)
2024	25	MLB	San Francisco Giants	—	158	145	38	4	0	2	10	13	1	2	3	262	314	331	645	69	273	8	6	291	83	-3	-1	-1	+1	+3	-0.1
2025	26	MLB	San Francisco Giants	—	617	560	149	31	12	8	47	71	6	10	3	266	330	407	737	141	291	12	8	327	107	+5	+1	-5	+2	+13	1.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	775	705	187	35	12	10	57	84	7	12	6	265	326	391	718	126	287	11	7	320	102	+2	+0	-6	+3	+17	1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	25	MLB MLE	San Francisco Giants	—	158	145	38	4	0	2	10	13	1	2	3	262	314	331	645	69	273	8	6	294	85	-3	-1	-1	+1	+3	-0.1
2025	26	MLB MLE	San Francisco Giants	—	617	560	152	32	12	9	47	71	6	10	3	271	334	420	754	148	291	12	8	329	109	+6	+1	-5	+2	+13	1.8
2024	25	MLB MLE	San Francisco Giants	—	158	145	38	4	0	2	10	13	1	2	3	262	314	331	645	69	273	8	6	294	85	-3	-1	-1	+1	+3	-0.1
2024	25	MLB RAW	San Francisco Giants	—	158	145	38	4	0	2	10	13	1	2	3	262	314	331	645	69	273	8	6	291	85	-3	-1	-1	+1	+3	-0.1
2025	26	MLB MLE	San Francisco Giants	—	617	560	152	32	12	9	47	71	6	10	3	271	334	420	754	148	295	12	8	329	109	+6	+1	-5	+2	+13	1.8
2025	26	MLB RAW	San Francisco Giants	—	617	560	149	31	12	8	47	71	6	10	3	266	330	407	737	141	291	12	8	327	109	+6	+1	-5	+2	+13	1.8
2024	25	MLB MLE	San Francisco Giants	—	158	146	38	4	0	2	10	13	1	2	3	260	314	329	643	68	273	8	6	294	85	—	—	—	—	—	—
2025	26	MLB MLE	San Francisco Giants	—	617	559	152	32	12	9	47	71	6	10	3	272	334	420	755	148	291	12	8	329	109	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	25	MLB MLE	San Francisco Giants	—	158	146	38	4	0	2	10	13	1	2	3	260	314	329	643	68	273	8	6	294	85	—	—	—	—	—	—
2025	26	MLB MLE	San Francisco Giants	—	617	559	152	32	12	9	47	71	6	10	3	272	334	420	755	148	291	12	8	329	109	—	—	—	—	—	—
YTD	27	MLB MLE	SF	—	551	513	147	30	4	10	27	55	7	12	1	287	331	419	750	133	303	10	5	325	106	+4	+2	-1	-6	+12	1.1
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	27	MLB RAW	SF	—	551	513	143	29	4	9	27	55	7	12	1	279	324	404	727	125	296	10	5	323	106	+4	+2	-1	-6	+12	1.1
YTD	27	MLB RAW	SF	—	551	513	143	29	4	9	27	55	7	12	1	279	324	404	727	125	296	10	5	323	105	+3	+2	-1	-6	+12	1.0
ROS	27	MLB MLE	SF	100%	9	8	2	0	0	0	1	1	0	0	0	250	333	250	583		297	11	11	327	108	+0	+0	-0	-0	+0	0.0
ROS	27	MLB CTX	SF	100%	9	8	2	0	0	0	1	1	0	0	0	250	333	250	583		291	11	11	312	108	+0	+0	-0	-0	+0	0.0
FULL	27	MLB A+C	SF	—	560	521	145	29	4	9	28	56	7	12	1	278	324	401	725	123	296	10	5	323	106	+4	+2	-1	-6	+12	1.1
TOT	27	MLB MLE	SF	—	560	521	149	30	4	10	28	56	7	12	1	286	331	417	747	131	303	10	5	325	106	+4	+2	-1	-6	+12	1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	SF	98%	609	562	150	28	8	10	35	65	7	12	2	267	318	399	716	132	287	11	6	319	102	+2	+2	-1	-7	+13	0.9
2028	29	MLB MLE	SF	98%	597	550	147	28	8	9	35	65	7	11	2	267	319	396	716	129	286	11	6	318	101	+1	+1	-2	-6	+13	0.7
2029	30	MLB MLE	SF	98%	585	539	143	27	8	9	34	65	7	10	1	265	317	395	712	130	285	11	6	315	99	-1	+2	-2	-6	+13	0.5
2030	31	MLB MLE	SF	98%	570	525	138	26	8	8	33	65	7	8	1	263	315	389	704	126	283	11	6	311	96	-2	+1	-3	-6	+12	0.2
2031	32	MLB MLE	SF	98%	558	515	131	24	7	7	32	66	6	7	1	254	306	369	675	115	280	12	6	304	92	-5	+1	-4	-6	+12	-0.2
2032	33	MLB MLE	SF	98%	521	480	120	21	7	6	30	65	6	5	1	250	302	360	663	110	275	12	6	296	87	-8	+1	-5	-6	+11	-0.7
2033	34	MLB MLE	SF	94%	473	438	107	18	6	5	27	62	5	3	0	244	296	347	643	103	273	13	6	290	82	-10	+1	-5	-5	+10	-1.0
2027	28	MLB CTX	SF	98%	597	551	144	27	8	9	34	64	7	12	2	261	312	388	701	127	282	11	6	304	102	+2	+2	-1	-6	+13	0.9
2028	29	MLB CTX	SF	98%	585	539	140	26	8	8	34	64	7	11	2	260	312	382	694	122	281	11	6	303	101	+1	+1	-2	-6	+13	0.7
2029	30	MLB CTX	SF	98%	573	528	138	26	8	8	33	64	7	9	1	261	313	386	700	125	280	11	6	300	99	-1	+1	-2	-6	+12	0.5
2030	31	MLB CTX	SF	98%	559	515	132	25	7	7	33	64	6	8	1	256	309	373	681	117	278	11	6	296	96	-2	+1	-3	-6	+12	0.2
2031	32	MLB CTX	SF	98%	547	504	127	23	7	7	32	65	6	7	1	252	304	367	671	115	275	12	6	290	92	-5	+1	-4	-6	+12	-0.2
2032	33	MLB CTX	SF	98%	511	471	116	20	7	6	29	63	6	5	1	246	298	357	655	110	271	12	6	283	87	-8	+1	-4	-5	+11	-0.6
2033	34	MLB CTX	SF	94%	442	409	99	17	6	4	25	58	5	3	0	242	294	342	636	100	269	13	6	277	82	-9	+1	-5	-5	+10	-0.9
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4598	4230	1085	199	63	59	278	527	51	67	14	257	310	375	685	119	280	11	6	299	96	-21	+8	-27	-38	+100	2.2
/ 162G	—	A+C		—	650	598	153	28	9	8	39	74	7	9	2	256	309	373	682	117	279	11	6	299	96	-3	+1	-4	-5	+14	0.3
Career	—	MLE		—	4697	4322	1128	208	64	65	284	538	52	68	14	261	314	384	698	123	284	11	6	311	96	-22	+8	-28	-39	+102	2.1
/ 162G	—	MLE		—	650	598	156	29	9	9	39	74	7	9	2	261	314	385	698	124	283	11	6	311	96	-3	+1	-4	-5	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ángel Pagánlast yr '16 career totals — 11 seasons, 4,465 PA	6.7	4,465	64	176	280	330	408	+4	-6	17.3	16.9
/162	664	10	26	+0.6	-0.9	2.6	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	8.7	5,756	82	91	266	315	391	-21	-31	15.2	14.4
/162	664	9	10	-2.4	-3.6	1.8	pk7: 14
#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
#3Gerardo Parralast yr '21 career totals — 12 seasons, 5,290 PA	8.0	5,290	90	97	275	322	403	-51	+11	12.3	12.3
/162	664	11	12	-6.3	+1.4	1.5	pk7: 12
#4Rob Mackowiaklast yr '08 career totals — 8 seasons, 2,618 PA	3.9	2,618	64	49	259	332	405	-11	-3	8.7	8.9
/162	664	16	12	-2.7	-0.8	2.2	pk7: 9
#5Alejandro De Azalast yr '17 career totals — 8 seasons, 2,819 PA	4.2	2,819	51	89	259	325	396	-6	-12	7.0	7.2
/162	664	12	21	-1.4	-2.8	1.7	pk7: 7
#6Chris Johnsonlast yr '16 career totals — 7 seasons, 2,972 PA	4.5	2,972	63	18	276	314	407	-1	-31	5.8	5.8
/162	664	14	4	-0.1	-7.0	1.3	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
Jung Hoo Lee (OGILVIE)	27	60	40	55	60	276/325/407	132	297	10	13	11%	6%	108	+1.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ender Inciarte 2018 · MLB	27	61→63	41→45	51→60	51	294/343/399	105	326	8	18	12%	7%	111	+2.1	261/325/377	116	296	10	20	15%	8%	100	+1.3	246/318/359	112	280	9	22	15%	9%	90	+0.4
✕Andrelton Simmons 2018 · MLB	28	57→61	43→45	50	53	274/325/391	117	290	10	14	10%	7%	103	+1.6	277/325/396	119	293	11	13	9%	6%	104	+1.6	281/328/389	108	296	9	11	8%	6%	100	+0.9
●Tike Redman 2004 · MLB	27	59→60	44→45	52→55	50	283/330/420	136	303	9	15	10%	6%	111	+2.1	266/304/362	96	286	7	15	9%	5%	88	+0.4	288/341/383	95	316	4	22	10%	7%	104	+1.2
●Jake Cronenworth 2021 · MLB	27	54→58	44→50	53→50	51	262/328/395	133	307	10	14	18%	8%	105	+1.7	252/331/418	166	285	16	6	17%	9%	112	+2.2	243/328/405	162	276	15	4	17%	9%	104	+1.7
✕Matt Duffy 2018 · MLB	27	54→64	44→45	50	48	265/315/387	122	298	11	12	16%	6%	99	+1.2	268/340/361	93	318	7	10	17%	9%	102	+1.5	279/353/362	83	336	6	11	17%	9%	105	+1.1
●Nico Hoerner 2023 · MLB	26	56→62	43→45	55→60	50	271/327/387	116	298	10	19	13%	6%	103	+1.5	278/337/385	107	304	9	28	11%	7%	106	+1.8	281/341/379	98	305	7	31	10%	7%	104	+1.8
✕David Fletcher 2021 · MLB	27	60→61	41→45	48→50	54	289/343/398	109	314	7	8	11%	8%	111	+2.1	262/303/342	80	285	5	10	10%	5%	83	+0.1	259/297/328	69	281	4	9	9%	5%	74	-0.4
●Kolten Wong 2018 · MLB	27	55→61	45→50	53→55	54	267/349/404	136	303	11	12	15%	9%	115	+2.4	265/346/400	135	300	12	15	15%	9%	114	+2.3	273/348/413	139	312	13	20	16%	8%	113	+1.6
✕Adam Kennedy 2003 · MLB	27	58→64	43→45	53→55	45	281/322/407	126	317	9	17	14%	5%	105	+1.7	278/340/399	121	318	11	20	15%	7%	111	+2.1	278/347/385	107	319	10	23	15%	8%	105	+1.4
●Jon Jay 2012 · MLB	27	57→64	44→45	46→50	48	277/329/400	123	315	11	12	16%	6%	107	+1.8	285/351/389	104	333	8	13	16%	7%	112	+2.2	287/360/377	90	340	6	13	16%	7%	108	+1.7
✕Maicer Izturis 2008 · MLB	27	58→61	42→45	51→55	57	278/344/393	115	300	8	15	11%	9%	110	+2.1	273/337/390	117	294	9	16	10%	8%	107	+1.8	276/340/394	119	303	8	15	11%	8%	106	+1.1
●Steven Kwan 2023 · MLB	25	59→63	43→45	54→50	57	286/356/407	121	307	9	15	10%	9%	118	+2.7	277/347/393	116	299	9	16	10%	9%	112	+2.2	274/344/385	112	292	9	17	10%	9%	106	+1.9
●Eric Sogard 2014 · MLB	28	53→58	42→45	51→55	51	253/310/362	109	281	8	16	13%	7%	91	+0.6	240/299/317	77	272	5	14	13%	7%	76	-0.4	252/337/372	120	286	11	10	15%	11%	100	+0.8
✕Erick Aybar 2010 · MLB	26	59→64	41→45	52→60	48	282/324/388	106	309	6	13	11%	5%	101	+1.4	270/316/382	112	299	8	21	12%	5%	97	+1.1	274/312/398	124	298	8	21	11%	4%	97	+1.1
✕Nicky Lopez 2022 · MLB	27	57→63	38→40	54→55	53	269/332/355	86	309	4	16	14%	8%	97	+1.1	242/308/310	68	283	3	15	14%	8%	78	-0.3	234/310/291	57	279	1	10	15%	9%	74	-0.3
✕Gerardo Parra 2014 · MLB	27	54→62	44→50	46→55	51	262/321/388	126	301	10	13	16%	8%	101	+1.4	261/305/389	128	303	11	11	17%	6%	95	+1.0	267/302/402	135	308	12	9	17%	4%	94	+0.7
●Joe Panik 2017 · MLB	26	56→64	45→50	51→45	56	270/336/405	135	285	11	6	10%	8%	110	+2.1	266/330/386	120	282	10	6	10%	8%	104	+1.6	266/330/371	105	283	8	5	9%	8%	96	+0.8
✕Santiago Espinal 2022 · MLB	27	55	40→45	48→50	51	265/321/362	97	306	7	12	16%	8%	95	+0.9	257/315/361	104	292	9	10	14%	7%	93	+0.8	251/307/348	97	281	9	10	14%	7%	84	+0.1
✕Jack Wilson 2005 · MLB	27	57→63	43→45	47→45	48	277/315/400	123	300	9	7	11%	5%	101	+1.4	270/313/388	118	290	10	6	10%	5%	98	+1.2	274/324/379	105	293	8	4	9%	6%	95	+0.8
●Tony Kemp 2020 · MLB	28	52→61	45	53→55	52	254/319/383	129	280	12	17	14%	8%	99	+1.3	249/337/375	126	278	11	13	14%	10%	105	+1.7	250/341/362	112	277	9	12	13%	10%	101	+0.8

Career Stats + Projections

Career Comps

Career Path Comps