Jung Hoo Lee — OGILVIE

Jung Hoo LeeCF San Francisco Giants

Age 27 L/R 6'0" / 196 lbs MLB HR -8%H -3% Svc 2.000 · Ctrl thru 2029

2026 ROS PROJECTION351 act + 266 ros · stats below = ROS only

wRC+†vL 5488vR 101

AVG/OBP/SLG.271 / .318 / .405

PA266

HR4

SB5

K%11

BB%6

BABIP293

ISO134

MLB%100%

Value2026 · WAR

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

Tools · Splits · ContractCON 60 / POW 40

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT60

Whiff%

903.5%

xwOBA

580.318

POWER40

Barrel%

123.4

Avg EV

2787.4

Bat Spd

2368.5

EYE60

Chase%

9018.6%

SPEED55

Sprint

4627.3

Platoon Splits2024-2026 · 879 PA

vs LHP

vs RHP

Edge

238

641

—

wRC+

114

▶▶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	$8M	+0.8	$3M	-$4M
2027	Ext	$19M	+1.5	$11M	-$6M
2028	Ext	$19M	+1.3	$9M	-$6M
2029	Ext	$19M	+1.0	$6M	-$7M
Totals		$64M		$29M	-$24M

Underwater contract
Projected production over the remaining contract is worth -$24M 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

Viewactual = stats as recorded (prior seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations

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
2024	25	MLB	San Francisco Giants	—	158	145	39	4	0	2	10	13	1	2	3	269	321	338	658	69	280	8	6	297	86	-3	-1	-1	+1	+4	0.1
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	81	-3	-1	-1	+1	+4	-0.0
2025	26	MLB	San Francisco Giants	—	617	560	155	33	12	9	47	71	6	10	3	277	339	427	766	150	302	12	8	333	113	+9	+1	-5	+2	+17	2.5
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	108	+6	+1	-5	+2	+17	2.2
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	27	MLB	SF	—	351	331	100	21	3	5	14	34	3	6	0	302	336	429	765	127	322	10	4	334	114	+5	+1	-1	-4	+10	1.2
YTD	27	MLB	SF	—	351	331	100	21	3	5	14	34	3	6	0	302	336	429	765	127	322	10	4	337	116	+7	+1	-1	-4	+10	1.3
ROS	27	MLB	SF	100%	266	247	67	13	4	4	15	29	2	5	1	271	318	405	723	134	292	11	6	318	101	+0	+1	-2	+1	+8	0.7
ROS	27	MLB	SF	100%	266	247	66	12	4	4	15	29	2	5	1	267	314	397	711	130	287	11	6	306	93	-2	+1	-2	+1	+8	0.5
FULL	27	MLB	SF	—	617	578	166	33	7	9	29	63	5	11	1	287	327	415	742	128	308	10	5	322	105	+3	+2	-4	-3	+17	1.6
TOT	27	MLB	SF	—	617	578	167	34	7	9	29	63	5	11	1	289	328	419	747	130	310	10	5	327	108	+6	+2	-4	-3	+17	1.9
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	28	MLB	SF	98%	609	564	149	28	9	8	35	68	5	10	1	264	313	388	701	124	287	11	6	313	98	-2	+2	-6	+2	+17	1.4
2028	29	MLB	SF	98%	597	553	146	28	8	8	34	67	5	9	1	264	312	387	699	123	286	11	6	311	96	-2	+1	-7	+2	+17	1.1
2029	30	MLB	SF	98%	585	541	142	27	8	8	34	68	5	8	1	262	312	386	698	124	285	12	6	309	94	-4	+1	-7	+2	+17	0.9
2030	31	MLB	SF	98%	570	527	137	26	8	7	33	68	5	7	1	260	310	380	689	120	283	12	6	304	91	-6	+1	-8	+2	+16	0.6
2031	32	MLB	SF	98%	551	509	130	24	8	6	32	68	5	5	1	255	306	369	675	114	280	12	6	298	86	-9	+1	-8	+2	+16	0.1
2027	28	MLB	SF	98%	597	553	144	27	9	8	34	66	5	10	1	260	309	385	694	125	282	11	6	302	89	-7	+2	-6	+2	+17	0.7
2028	29	MLB	SF	98%	585	541	140	26	8	8	34	66	5	9	1	259	309	381	689	122	281	11	6	300	88	-8	+1	-7	+2	+17	0.6
2029	30	MLB	SF	98%	573	530	137	26	8	7	33	66	5	8	1	258	308	377	685	119	281	12	6	298	86	-9	+1	-7	+2	+16	0.3
2030	31	MLB	SF	98%	559	517	132	25	8	6	32	66	5	7	1	255	305	369	674	114	279	12	6	294	83	-11	+1	-8	+2	+16	0.0
2031	32	MLB	SF	98%	540	500	125	23	7	6	31	66	4	5	1	250	299	360	659	110	275	12	6	288	78	-13	+1	-8	+2	+15	-0.4
▸ Career Totals
Career	—			—	3895	3593	931	174	56	49	236	443	33	56	12	259	311	380	690	121	282	11	6	302	89	-48	+6	-44	+14	+110	3.9
/ 162G	—			—	650	600	155	29	9	8	39	74	6	9	2	258	311	377	687	118	282	11	6	302	89	-8	+1	-7	+2	+18	0.6
Career	—			—	3953	3646	965	183	57	52	240	452	34	56	12	265	316	389	705	124	289	11	6	312	97	-15	+6	-45	+14	+112	7.4
/ 162G	—			—	650	600	159	30	9	9	39	74	6	9	2	265	317	390	707	125	288	11	6	312	97	-2	+1	-7	+2	+18	1.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

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
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	81	-3	-1	-1	+1	+4	-0.0
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	108	+6	+1	-5	+2	+17	2.2
▸ 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	103	+2	+0	-6	+3	+22	2.2

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Top row of each card is career totals; bottom row is per-162-game rates. Pool: 727 completed hitter careers (2000-2024).

PLAYER · career totals + /162 games	YRS	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ronnie Belliardlast yr '10 career totals — 11 seasons, 5,105 PA	11	5,105	106	39	271	334	414	+5	+5	21.4	20.2
	/162	664	14	5	271	334	414	+0.6	+0.7	2.8	pk7: 19
#2Felipe Lopezlast yr '11 career totals — 11 seasons, 4,864 PA	11	4,864	90	124	264	333	391	+31	-19	17.6	18.1
	/162	664	12	17	264	333	391	+4.2	-2.6	2.4	pk7: 19
#3César Hernándezlast yr '22 career totals — 10 seasons, 4,797 PA	10	4,797	71	91	267	341	375	+17	+1	17.8	18.0
	/162	664	10	13	267	341	375	+2.4	+0.2	2.5	pk7: 18
#4Gary Matthews Jr.last yr '10 career totals — 11 seasons, 4,572 PA	11	4,572	108	93	258	331	407	-5	-10	16.2	17.2
	/162	664	16	14	258	331	407	-0.7	-1.4	2.3	pk7: 18
#5Cristian Guzmanlast yr '10 career totals — 10 seasons, 5,329 PA	10	5,329	61	116	275	311	392	+23	+24	16.8	16.7
	/162	664	8	14	275	311	392	+2.9	+3.0	2.1	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	9	4,597	60	68	269	316	393	+16	-25	14.1	13.8
	/162	664	9	10	269	316	393	+2.4	-3.7	2.0	pk7: 13
#6Brett Lawrielast yr '16 career totals — 6 seasons, 2,417 PA	6	2,417	71	41	261	315	419	+9	+1	9.4	9.4
	/162	664	20	11	261	315	419	+2.4	+0.3	2.6	pk7: 9

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	289/328/419	130	310	9	11	10%	5%	108	+1.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Tike Redman 2004 · MLB	27	59→60	44→45	52→55	50	283/330/420	136	303	9	15	10%	6%	112	+2.6	266/304/363	97	286	7	15	9%	5%	86	+0.8	290/341/390	101	317	5	22	10%	7%	107	+1.6
✕David Fletcher 2021 · MLB	27	60→62	42→45	48→50	54	289/343/400	111	313	8	8	11%	8%	112	+2.6	262/303/343	81	285	5	10	10%	5%	81	+0.4	258/296/329	71	279	4	9	9%	5%	71	-0.2
✕Ender Inciarte 2018 · MLB	27	61→63	41→45	52→60	51	294/343/399	105	327	8	18	13%	7%	112	+2.6	261/325/377	116	296	10	20	15%	8%	100	+1.7	246/318/359	112	280	9	22	15%	9%	89	+0.6
●Adam Kennedy 2003 · MLB	27	58→64	43→45	53→55	45	281/322/407	126	317	9	17	14%	5%	106	+2.2	278/340/399	121	318	11	20	16%	7%	112	+2.6	278/347/385	107	319	10	23	15%	8%	105	+1.8
✕Nicky Lopez 2022 · MLB	27	58→64	38→40	54→55	53	272/334/359	88	312	4	16	14%	8%	98	+1.6	244/310/313	69	286	3	15	14%	8%	77	+0.1	250/314/308	57	296	2	10	15%	7%	76	+0.0
●Jon Jay 2012 · MLB	27	57→64	44→45	46→50	48	277/329/398	121	316	10	12	16%	6%	107	+2.2	284/350/386	102	333	7	13	16%	7%	113	+2.6	287/359/374	87	340	5	13	16%	7%	108	+2.0
●Maicer Izturis 2008 · MLB	27	58→61	42→45	51→55	57	277/343/393	115	300	8	15	11%	9%	111	+2.5	273/337/390	117	294	9	16	10%	8%	108	+2.3	277/341/397	121	304	8	15	11%	8%	108	+1.5
●Eric Sogard 2013 · MLB	27	53→57	43→45	52→55	51	255/310/368	113	281	10	17	14%	7%	92	+1.2	247/305/336	89	279	6	16	13%	7%	80	+0.4	250/336/373	123	285	11	10	15%	11%	100	+1.1
✕Cole Figueroa 2013 · AAA	26	56→59	40→45	48→50	53	264/322/369	105	286	6	9	10%	7%	96	+1.5	250/302/331	81	269	4	8	9%	7%	78	+0.2	252/303/329	78	272	4	6	9%	6%	76	+0.0
●Kolten Wong 2018 · MLB	27	55→61	45→55	53→55	54	267/348/401	134	303	10	12	15%	9%	116	+2.8	264/344/395	131	300	11	15	15%	9%	114	+2.7	274/349/416	141	313	13	20	16%	8%	116	+2.0
✕Matt Duffy 2018 · MLB	27	54→63	44→45	50	48	265/315/389	123	299	12	12	16%	6%	98	+1.6	266/338/361	95	315	7	10	17%	9%	102	+1.8	277/350/360	84	333	6	11	17%	9%	104	+1.3
✕Jim Negrych 2012 · AAA	27	57→67	39→40	46→50	50	269/322/362	93	317	6	11	17%	7%	95	+1.4	256/310/357	101	302	9	8	17%	7%	89	+0.9	254/311/350	97	297	9	5	17%	7%	84	+0.4
●Adam Eaton 2016 · MLB	27	59→65	43→45	53→55	51	280/347/405	125	333	9	16	18%	8%	116	+2.8	281/360/418	137	331	11	13	17%	9%	125	+3.5	283/373/419	136	331	12	14	17%	10%	129	+2.4
✕Joe Panik 2018 · MLB	27	57→65	46→50	51→45	57	279/345/423	144	291	12	6	10%	9%	120	+3.1	257/324/362	105	277	9	6	10%	8%	95	+1.4	248/319/331	84	270	6	5	10%	9%	81	+0.2
✕Alex Cora 2003 · MLB	27	52→53	43→45	49→50	53	248/319/367	120	275	9	8	14%	8%	95	+1.4	249/313/357	108	270	9	7	11%	6%	90	+1.0	242/320/336	94	258	8	9	10%	8%	80	+0.2
●Adam Frazier 2019 · MLB	27	56→66	45→50	45→50	52	270/332/403	133	302	10	9	14%	8%	110	+2.4	273/333/408	135	303	11	6	13%	7%	111	+2.5	285/346/410	126	315	9	6	12%	7%	113	+2.2
●Gerardo Parra 2014 · MLB	27	55→62	44→50	47→55	51	264/322/391	128	303	10	13	16%	8%	102	+1.9	259/303/387	128	300	11	11	17%	6%	93	+1.3	254/292/379	125	294	11	11	17%	4%	81	+0.4
✕Santiago Espinal 2022 · MLB	27	55	41→45	48→50	51	263/321/364	101	305	8	12	16%	8%	95	+1.4	257/314/360	103	292	9	10	14%	7%	91	+1.1	250/306/347	98	280	9	10	14%	7%	81	+0.3
✕Joel Galarraga 2009 · AAA	27	59→61	40	46→50	53	281/343/388	107	309	6	10	11%	7%	110	+2.4	249/310/340	91	295	5	9	16%	7%	84	+0.6	269/319/353	84	303	6	10	13%	6%	88	+0.4
●Jake Cronenworth 2021 · MLB	27	55→59	45→55	53→50	51	266/331/404	138	310	10	14	17%	8%	110	+2.4	257/335/432	175	289	17	6	17%	9%	119	+3.1	249/333/421	172	281	17	4	17%	9%	111	+2.5