Hyeseong Kim — OGILVIE

Hyeseong KimSS Oklahoma City Comets

Age 27 L/R 5'10" / 175 lbs MLB HR +8%BB -8% Svc 0.866 · Ctrl thru 2031 ILReassigned to Minors (RM)

2026 ROS PROJECTION482 act + 10 ros · stats below = ROS only

showingROS

wRC+†vL 7174vR 75

AVG/OBP/SLG.222 / .300 / .222

PA10

HR0

K%30

BB%10

BABIP321

ISO117

MLB%100%

Value2026 · WAR

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

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Tools · Splits · ContractCON 40 / POW 35

Toolsscout grade · Statcast %ile · 2025-2026

CONTACT40

Whiff%

788.1%

xAVG

340.238

POWER35

Barrel%

103.0

Avg EV

1085.9

Bat Spd

1065.9

EYE40

Chase%

9021.0%

SPEED60

Sprint

8428.8

Platoon Splits2025-2026 · 209 PA

vs LHP

vs RHP

Edge

188

—

wRC+

167

102

◀◀L

wOBA

415

319

◀◀L

ISO

190

105

◀◀L

BABIP

583

390

◀◀L

38.1%

28.2%

▶▶R

BB%

0.0%

6.4%

—

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

Status Pre-Arb

MLB Debut 2025

Service 0.866 yrs.days

Team Control Through 2031

First FA Year 2032

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.3M	—	—	—
2027	Ext	$4M	—	—	—
2028	Pre-Arb	$0.8M	—	—	—
2029	Arb-1	$0.2M	—	—	—
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
Totals		$5M		$-1M	-$4M

Options · projected decision
2028	CLUB OPT	$29.0M / $0.0M buyout	DECLINE

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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)
2025	26	MLB	Los Angeles Dodgers	—	170	161	45	6	1	3	7	52	1	13	1	280	314	385	699	106	396	31	4	311	97	-1	+2	+1	+1	+4	0.8
2025	26	AAA	Oklahoma City Comets	—	169	149	40	9	2	5	13	42	3	14	1	268	335	456	792	188	340	25	8	344	119	+4	+2	—	—	+4	1.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	170	161	45	6	1	3	7	52	1	13	1	280	314	385	699	106	396	31	4	311	97	-1	+2	+1	+1	+4	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	26	MLB MLE	Los Angeles Dodgers	—	170	161	45	6	1	3	7	52	1	13	1	280	314	385	699	106	396	31	4	312	97	-1	+2	+1	+1	+4	0.8
2025	26	AAA MLE	Oklahoma City Comets	—	169	156	36	8	1	4	8	53	3	14	1	231	281	372	653	141	320	31	5	287	80	-4	+2	—	—	+4	0.2
2025	26	MLB MLE	2 teams	—	339	317	83	14	3	7	15	105	4	27	2	262	304	391	695	129	369	31	4	299	89	-5	+5	+1	+1	+7	1.0
2025	26	MLB RAW	2 teams	—	339	310	85	15	3	8	20	94	4	27	2	274	324	419	744	145	368	28	6	328	89	-5	+5	+1	+1	+7	1.0
2025	26	MLB MLE	2 teams	—	339	317	83	14	3	7	15	105	4	27	2	262	304	391	695	129	358	31	4	299	89	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	26	MLB MLE	2 teams	—	339	317	83	14	3	7	15	105	4	27	2	262	304	391	695	129	358	31	4	299	89	—	—	—	—	—	—
YTD	27	AAA MLE	LAD	—	482	438	103	12	4	3	36	146	1	19	4	235	295	301	596	66	339	30	7	267	67	-19	+2	+1	+5	+10	-0.0
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	27	MLB RAW	LAD	—	131	116	30	3	1	1	12	31	0	5	1	259	326	328	653	69	337	24	9	294	67	-5	+1	+1	+5	+3	0.4
YTD	27	AAA RAW	LAD	—	351	310	83	11	3	3	33	89	1	14	3	268	338	352	690	84	360	25	9	310	67	—	—	—	—	—	—
YTD	27	MLB RAW	LAD	—	131	116	30	3	1	1	12	31	0	5	1	259	326	328	653	69	337	24	9	294	85	-2	+1	+1	+1	+3	0.4
ROS	27	AAA MLE	LAD	100%	10	9	2	0	0	0	1	3	0	0	0	222	300	222	522		326	30	10	278	74	-0	+0	-0	+0	+0	-0.0
ROS	27	MLB CTX	LAD	100%	10	9	2	0	0	0	1	3	0	0	0	222	300	222	522		321	30	10	271	74	-0	+0	-0	+0	+0	-0.0
FULL	27	MLB A+C	LAD	—	141	125	32	3	1	1	13	34	0	5	1	256	324	320	644	64	337	24	9	293	67	-6	+1	+1	+2	+3	0.1
TOT	27	AAA MLE	LAD	—	492	447	105	12	4	3	37	149	1	19	4	235	295	300	595	65	339	30	8	267	67	-19	+2	+1	+5	+11	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	LAD	82%	354	325	76	10	2	5	24	105	2	15	3	234	291	323	614	89	326	30	7	277	74	-11	+2	-2	+4	+8	-0.0
2028	29	MLB MLE	LAD	82%	362	332	76	10	2	5	25	108	2	14	3	229	287	316	603	87	324	30	7	274	72	-12	+2	-3	+4	+8	-0.2
2029	30	MLB MLE	LAD	82%	367	337	77	10	2	5	25	110	2	13	3	228	286	315	600	86	321	30	7	270	69	-14	+1	-4	+4	+8	-0.4
2027	28	MLB CTX	LAD	82%	290	267	62	8	2	4	20	86	1	12	3	232	288	322	610	90	321	30	7	271	74	-9	+1	-2	+3	+6	-0.0
2028	29	MLB CTX	LAD	82%	297	274	62	8	2	4	20	89	1	12	2	226	281	314	595	88	319	30	7	268	72	-10	+2	-3	+3	+6	-0.1
2029	30	MLB CTX	LAD	82%	301	276	62	8	2	4	21	90	1	11	2	225	282	312	593	87	316	30	7	264	69	-11	+1	-3	+3	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1068	987	233	30	7	15	69	320	4	48	8	236	289	326	615	90	332	30	6	274	76	-31	+6	-7	+11	+23	0.3
/ 162G	—	A+C		—	650	601	141	18	4	9	42	195	2	29	5	235	286	323	609	88	331	30	6	274	76	-19	+4	-4	+7	+14	0.2
Career	—	MLE		—	1432	1320	314	44	9	22	90	431	10	69	11	238	292	335	626	97	334	30	6	280	76	-38	+7	-8	+13	+27	0.1
/ 162G	—	MLE		—	650	599	142	20	4	10	41	196	5	31	5	237	291	334	625	97	333	30	6	280	76	-19	+4	-4	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Leury Garcíalast yr '22 career totals — 9 seasons, 2,387 PA	3.6	2,387	34	63	253	293	351	+5	+10	3.1	4.3
/162	664	9	18	+1.4	+2.7	0.9	pk7: 6
#3Tony Gwynn Jr.last yr '14 career totals — 7 seasons, 1,749 PA	2.6	1,749	7	77	239	310	313	+1	+35	4.1	4.1
/162	664	3	29	+0.5	+13.1	1.6	pk7: 4
#4Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#5Chris Getzlast yr '13 career totals — 5 seasons, 1,539 PA	2.3	1,539	3	86	251	310	309	+5	+12	2.7	2.7
/162	664	1	37	+2.4	+5.1	1.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.0	1,342	19	61	241	292	332	+8	+7	1.4	1.5
/162	664	9	30	+4.0	+3.5	0.7	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Hyeseong Kim (OGILVIE)	27	40	35	60	40	232/288/323	91	326	2	7	29%	7%	74	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler Wade 2022 · MLB	27	50→55	41→40	57→60	49	236/311/336	100	310	8	33	25%	9%	86	+0.3	225/293/311	86	295	7	38	24%	8%	74	-0.6	227/298/287	61	307	4	40	25%	8%	67	-0.5
✕Nathan Haynes 2007 · AAA	27	49	41→40	55	43	234/285/342	109	313	6	25	26%	6%	76	-0.4	252/296/346	94	333	6	25	25%	5%	81	-0.1	267/306/346	79	349	5	28	24%	5%	82	+0.0
✕Michael Gigliotti 2023 · AA	27	41	45→40	57→55	49	202/300/325	123	283	13	26	31%	10%	81	-0.1	215/309/320	105	287	9	16	26%	10%	82	+0.0	206/316/294	88	270	5	13	23%	12%	78	-0.1
✕Ben DeLuzio 2023 · MLB	28	47→50	42→45	60	41	225/283/336	111	304	8	29	28%	6%	75	-0.5	210/274/318	108	307	10	20	33%	7%	68	-1.0	149/221/220	71	245	7	18	39%	7%	26	-1.2
✕Magneuris Sierra 2023 · MLB	27	48→56	40	61→60	44	233/283/326	93	292	7	30	22%	6%	72	-0.7	223/276/322	99	300	9	23	27%	7%	69	-0.9	202/253/265	63	292	4	26	30%	6%	45	-1.0
✕Tanner Kirwer 2023 · AA	27	44	42→40	59→60	45	213/291/309	96	302	11	32	31%	8%	73	-0.6	210/278/304	94	297	9	27	30%	7%	66	-1.1	178/249/248	70	249	8	46	30%	7%	41	-1.0
✕Freddie Bynum Jr. 2007 · MLB	27	50→52	42→40	58→55	43	238/289/354	116	314	8	24	26%	6%	81	-0.1	227/273/335	108	308	7	21	27%	5%	71	-0.8	218/259/305	87	298	4	21	27%	4%	56	-0.7
✕Jacob Hannemann 2018 · MLB	27	42→43	42→45	57→60	41	205/259/318	112	271	9	26	27%	6%	62	-1.4	203/256/309	106	262	10	24	26%	6%	59	-1.7	189/239/282	93	239	10	28	25%	5%	43	-1.3
✕Luke Williams 2023 · MLB	26	51→44	39→45	55→65	44	237/295/329	91	331	6	31	29%	8%	78	-0.3	217/277/331	114	297	11	33	29%	7%	72	-0.7	198/259/305	108	270	10	38	29%	7%	58	-0.8
✕Lane Adams 2017 · AAA	27	46	43→45	59→60	42	227/280/339	112	301	11	32	28%	6%	75	-0.5	208/267/331	123	313	13	29	35%	7%	68	-1.0	186/251/313	127	291	14	28	39%	7%	56	-0.9
✕Chavez Young 2023 · AAA	26	46→49	43→45	60	44	225/290/333	109	308	11	29	29%	8%	78	-0.3	199/274/293	94	274	8	29	28%	8%	63	-1.4	171/255/249	78	237	6	35	28%	8%	44	-1.2
✕Max Schuemann 2023 · AAA	26	47→48	43→45	59→60	47	226/314/340	114	309	10	29	28%	8%	89	+0.5	223/314/328	105	298	10	21	26%	10%	86	+0.3	215/312/312	97	283	9	20	25%	10%	80	-0.1
✕Mitch Longo 2022 · AAA	27	46→44	47→45	59→50	41	232/281/370	138	296	14	22	26%	6%	82	+0.0	223/270/359	136	292	15	14	28%	5%	76	-0.4	182/220/306	123	230	16	3	29%	4%	41	-0.7
✕Bryce Johnson 2023 · MLB	27	50→53	41→45	62→60	42	234/299/334	100	343	8	35	32%	7%	81	-0.1	232/306/338	106	324	9	29	29%	8%	84	+0.2	232/311/335	103	321	8	29	28%	8%	83	+0.0
✕J.P. Martínez 2023 · AAA	27	44→45	46→50	62→65	44	212/290/345	133	319	13	31	35%	9%	80	-0.1	213/293/339	126	313	12	37	33%	9%	80	-0.1	205/290/324	119	300	11	45	33%	9%	73	-0.5
✕Tyler Saladino 2016 · MLB	27	48→47	41→45	59→55	46	232/284/333	101	279	8	25	20%	6%	74	-0.5	233/288/338	105	290	10	19	22%	6%	77	-0.3	227/287/327	99	289	10	17	24%	7%	73	-0.3
✕Clete Thomas 2011 · MLB	27	47→52	45	58→55	48	225/302/355	130	308	11	26	29%	9%	87	+0.4	208/262/334	126	300	13	19	33%	6%	67	-1.1	203/260/321	118	276	11	14	29%	7%	61	-1.0
✕Chad Hinshaw 2017 · AA	26	45→43	42→45	55	41	214/289/322	108	308	9	26	32%	7%	75	-0.5	201/263/299	98	299	8	14	33%	6%	60	-1.6	177/235/262	85	266	6	11	34%	6%	38	-1.5
✕Drew Avans 2023 · AAA	27	50→53	42→45	65→60	46	233/305/348	116	335	8	34	31%	8%	86	+0.3	223/294/321	98	318	8	28	30%	9%	76	-0.4	222/293/311	89	310	7	30	29%	9%	70	-0.8
✕Thomas Milone 2022 · AAA	27	50→45	44→45	52→55	44	238/302/364	125	332	11	18	30%	8%	88	+0.5	220/288/335	115	338	10	15	35%	8%	77	-0.3	203/277/309	106	322	9	15	37%	8%	63	-1.0

Career Stats + Projections

Career Comps

Career Path Comps