Hyeseong Kim

SS Oklahoma City Comets

Age 28 L/R 5'10" / 175 lbs AAA HR +8%BB -8% Svc 1.180 · Ctrl thru 2031

Overview

AAA40-MANExtFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	26	AAALAD	169	.268/.335/.456	5	14	91	—	.250/.299/.404
2025	26	MLBLAD	170	.280/.314/.385	3	13	101	0.8
2026	27	AAALAD	370	.262/.332/.345	3	15	64	—	.238/.290/.303
2026	27	MLBLAD	131	.259/.326/.328	1	5	91	0.9
2027PROJ45% MLB	28	MLBLAD	107	.229/.287/.333	2	5	78	0.1
2028PROJ53% MLB	29	MLBLAD	144	.227/.285/.327	2	6	75	0.0
2029PROJ58% MLB	30	MLBLAD	157	.224/.281/.319	3	5	72	-0.1

Last 2 seasons WAR 1.7 · Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.180First FA2032Options1

2027Ext$4M2028Pre-Arb$0.8M2029Arb-1$0.2M2030Ext$2M2031Ext$2M

Skills · percentileStatcast 2025-2026

Speed84

xwOBA21

Barrel%10

Avg EV10

Bat Spd10

CompsBen DeLuzio (age 28) · Jeff Duncan (age 28) · Ian Miller (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 7578vR 79

AVG/OBP/SLG.229 / .287 / .333

PA107

HR2

SB5

K%27

BB%7

BABIP300

ISO112

MLB%45%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · Splits · ContractCON 40 / POW 35

Toolsscout grade · Statcast %ile · 2025-2026

CONTACT40

xAVG

340.238

POWER35

Barrel%

103.0

Avg EV

1085.9

Bat Spd

1065.9

EYE40

scouting grade only

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 1.180 yrs.days

Team Control Through 2031

First FA Year 2032

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$4M	+0.2	$0.7M	-$3M
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		$4M		$0.4M	-$3M

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

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)
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	101	+0	+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	91	—	—	—	—	—	—
2026	27	MLB	Los Angeles Dodgers	—	131	116	30	3	1	1	12	31	0	5	1	259	326	328	653	69	337	24	9	294	91	-1	+1	+1	+5	+3	0.9
2026	27	AAA	Oklahoma City Comets	—	370	328	86	12	3	3	34	92	1	15	3	262	332	345	676	82	350	25	9	304	64	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	301	277	75	9	2	4	19	83	1	18	2	271	319	361	680	90	370	28	6	304	92	-3	+3	+2	+7	+7	1.5
▸ 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	317	101	+0	+2	+1	+1	+4	0.8
2025	26	AAA MLE	Oklahoma City Comets	—	169	156	39	8	2	4	8	50	3	14	1	250	299	404	703	154	337	30	5	303	91	—	—	—	—	—	—
2026	27	MLB MLE	Los Angeles Dodgers	—	131	117	30	3	1	1	12	31	0	5	1	256	326	325	650	68	337	24	9	302	91	-1	+1	+1	+5	+3	0.9
2026	27	AAA MLE	Oklahoma City Comets	—	370	340	81	10	3	2	24	110	1	15	3	238	290	303	593	65	333	30	6	263	64	—	—	—	—	—	—
2025	26	MLB MLE	2 teams	—	339	317	86	15	3	7	15	102	4	27	2	271	312	404	716	132	378	30	4	310	96	-2	+5	+1	+1	+7	1.3
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	96	-2	+5	+1	+1	+7	1.3
2026	27	AAA MLE	2 teams	—	501	457	112	14	4	3	36	141	1	20	4	245	302	313	615	68	342	28	7	273	71	—	—	—	—	—	—
2026	27	AAA RAW	2 teams	—	501	444	116	15	4	4	46	123	1	20	4	261	330	340	670	79	347	25	9	301	71	—	—	—	—	—	—
2025	26	MLB MLE	2 teams	—	339	317	86	15	3	7	15	102	4	27	2	271	312	404	716	132	367	30	4	310	96	—	—	—	—	—	—
2026	27	AAA MLE	2 teams	—	501	459	112	14	4	3	36	141	1	20	4	244	302	312	613	68	334	28	7	273	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	26	MLB MLE	2 teams	—	339	317	86	15	3	7	15	102	4	27	2	271	312	404	716	132	367	30	4	310	96	—	—	—	—	—	—
2026	27	AAA MLE	2 teams	—	501	459	112	14	4	3	36	141	1	20	4	244	302	312	613	68	334	28	7	273	71	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	28	MLB MLE	LAD	45%	380	349	82	12	3	7	26	101	2	18	4	233	291	339	630	106	307	27	7	283	78	-10	+2	-1	+4	+8	0.4
▸ 2027 — real world (MLB)
2027	28	MLB CTX	LAD	45%	107	98	23	3	1	2	7	29	1	5	1	229	287	333	620	104	300	27	7	279	78	-3	+1	-0	+1	+2	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	29	MLB MLE	LAD	53%	272	249	57	8	2	4	19	73	2	11	2	231	288	333	621	102	305	27	7	279	75	-8	+1	-2	+3	+6	0.0
2029	30	MLB MLE	LAD	58%	272	250	57	8	2	4	18	74	2	9	2	228	285	325	609	97	303	27	7	275	72	-9	+1	-3	+3	+6	-0.2
2028	29	MLB CTX	LAD	53%	144	132	29	4	1	2	10	39	1	6	1	227	285	327	611	100	299	27	7	275	75	-4	+1	-1	+2	+3	0.0
2029	30	MLB CTX	LAD	58%	157	144	32	4	1	3	11	43	1	5	1	224	281	319	600	95	297	27	7	271	72	-5	+1	-2	+2	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	602	553	136	17	4	9	40	165	3	29	4	246	300	340	640	94	332	27	7	288	78	-12	+4	-1	+10	+13	1.4
/ 162G	—	A+C		—	650	597	146	18	4	10	43	178	3	31	4	245	298	338	636	94	329	27	7	288	78	-13	+5	-1	+11	+14	1.5
Career	—	MLE		—	1622	1491	363	52	13	22	104	453	11	78	12	243	298	340	638	97	332	28	6	284	78	-26	+7	-3	+15	+23	1.6
/ 162G	—	MLE		—	650	598	146	21	5	9	42	182	4	31	5	244	298	341	639	97	333	28	6	284	78	-16	+4	-2	+9	+14	1.0

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.

2026 AAAOklahoma City Comets · 370 PAwOBA .300 → .263 (−36)K% 24.9% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.86%	÷1.000	×1.200	—	—	29.84%
BB% (unintentional) /PA	9.19%	÷1.000	×0.690	—	×1.003	6.36%
HBP% /PA	0.27%	—	×0.940	—	×1.003	0.25%
Singles /BIP	28.81%	÷1.000	×0.930	×1.037	×1.003	27.88%
Doubles /BIP	5.08%	÷1.000	×0.830	×1.037	×1.003	4.39%
Triples /BIP	1.27%	÷1.000	×0.970	×1.037	×1.003	1.28%
Home runs /BIP	1.27%	÷1.000	×0.700	—	×1.003	0.89%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .300 → .263; ISO .082 → .069; BABIP .350 → .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).

2025 AAAOklahoma City Comets · 169 PAwOBA .337 → .303 (−34)K% 24.9% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.85%	÷1.015	×1.200	—	—	29.38%
BB% (unintentional) /PA	7.69%	÷1.083	×0.690	—	×1.018	4.99%
HBP% /PA	1.78%	—	×0.940	—	×1.018	1.70%
Singles /BIP	22.43%	÷0.951	×0.930	×1.050	×1.018	23.44%
Doubles /BIP	8.41%	÷0.969	×0.830	×1.050	×1.018	7.70%
Triples /BIP	1.87%	÷1.150	×0.970	×1.050	×1.018	1.69%
Home runs /BIP	4.67%	÷0.956	×0.700	—	×1.018	3.48%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 90, 2B 94, 3B 130, K 103, BB 117 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .337 → .303; ISO .188 → .156; BABIP .340 → .337. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Eric Sogardlast yr '21 career totals — 10 seasons, 2,484 PA	3.7	2,484	26	46	246	312	337	+10	+22	6.0	6.6
/162	664	7	12	+2.7	+5.9	1.6	pk7: 7
#2Keith Lockhart'94-'03 * career totals — 10 seasons, 2,529 PA	3.8	2,529	44	30	249*	304*	372*	+6	+16	3.9	4.5
/162	664	12	8	+1.7	+4.1	1.0	pk7: 5
#3Ehire Adrianzalast yr '22 career totals — 9 seasons, 1,519 PA	2.3	1,519	20	19	240	310	353	+10	+13	4.0	4.4
/162	664	9	8	+4.2	+5.5	1.8	pk7: 5
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.1	710	11	35	248	298	345	+5	+6	1.3	1.3
/162	664	10	32	+5.1	+5.2	1.2	pk7: 1
#5Jose Macias'99-'05 * career totals — 6 seasons, 1,789 PA	2.7	1,789	26	43	247*	289*	362*	+2	+12	1.0	1.0
/162	664	10	16	+0.7	+4.3	0.4	pk7: 1
#6Phil Linz'62-'68 * career totals — 7 seasons, 1,518 PA	2.3	1,518	11	13	238*	301*	338*	+10	-0	0.7	0.7
/162	664	5	6	+4.3	-0.2	0.3	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)	28	40	35	60	40	231/289/336	105	307	4	11	27%	7%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ben DeLuzio 2023 · MLB	28	47→50	42→45	60	41	224/281/335	111	303	8	29	28%	6%	74	-0.5	210/272/317	107	307	10	20	33%	7%	68	-1.0	148/218/218	71	242	7	18	39%	7%	24	-1.2
✕Jeff Duncan 2007 · MLB	28	49→45	42→45	54→60	46	237/300/338	101	302	9	22	24%	7%	82	-0.0	226/292/309	83	295	7	18	24%	8%	72	-0.7	195/268/201	6	264	0	18	24%	8%	36	-0.9
✕Ian Miller 2021 · MLB	29	46→56	42→40	58→60	45	226/281/337	112	277	9	29	22%	6%	74	-0.5	228/280/319	91	288	7	21	22%	6%	70	-0.9	229/278/296	68	290	3	25	21%	5%	62	-1.0
✕Luke Williams 2024 · MLB	27	47→44	43→45	59→65	45	228/290/338	110	304	10	34	27%	8%	78	-0.3	201/260/313	112	280	11	35	30%	7%	61	-1.5	174/232/274	100	245	9	44	32%	6%	41	-1.3
✕Tyler Wade 2023 · MLB	28	45→55	40→45	57→60	50	216/289/307	92	274	8	35	23%	9%	71	-0.8	231/297/309	78	304	6	35	24%	8%	74	-0.5	232/301/293	61	309	4	40	24%	8%	70	-0.4
✕Nathan Haynes 2007 · AAA	27	48	41→40	55	42	228/279/335	107	306	6	25	26%	6%	73	-0.6	250/294/344	94	330	6	25	25%	5%	80	-0.2	265/304/345	80	346	5	28	24%	5%	81	-0.0
✕Jacob Hannemann 2019 · MLB	28	40→43	41→45	56→60	40	200/250/301	100	262	9	27	27%	5%	55	-2.0	213/271/335	122	269	12	21	25%	6%	70	-0.8	195/265/342	147	221	16	30	20%	8%	70	-0.2
✕Freddie Bynum Jr. 2008 · MLB	28	50→53	44→40	60→55	40	241/289/375	134	321	10	26	27%	5%	86	+0.3	219/264/312	93	296	6	18	27%	5%	61	-1.5	205/246/277	72	277	4	14	26%	5%	44	-1.2
✕Matthew Batten 2023 · MLB	28	48→54	41→40	56→55	46	228/294/319	91	309	9	23	28%	8%	75	-0.5	205/272/305	100	275	10	22	27%	8%	64	-1.3	187/252/281	95	249	10	22	28%	7%	50	-1.9
✕Jared Oliva 2024 · MLB	28	44→49	43→45	57→65	41	217/273/337	120	286	9	24	27%	6%	72	-0.7	227/288/352	125	287	12	49	24%	6%	81	-0.1	225/290/349	124	279	13	71	23%	6%	77	-0.2
✕Michael Gigliotti 2023 · AA	27	41	45→40	57→55	48	202/300/324	122	284	13	26	31%	10%	80	-0.1	219/310/324	105	288	8	16	25%	10%	84	+0.1	218/323/308	90	279	5	13	21%	12%	84	+0.1
✕Clay Dungan 2024 · AAA	28	45→53	40→45	55	47	218/288/308	90	278	7	20	23%	8%	71	-0.8	215/288/329	114	296	9	21	28%	8%	76	-0.4	208/282/325	117	289	9	21	29%	8%	71	-0.6
✕Kramer Robertson 2023 · AAA	28	44→50	42→40	54→55	52	214/310/321	106	273	10	21	24%	10%	84	+0.1	202/302/281	79	276	6	21	27%	10%	72	-0.7	174/286/217	43	249	3	23	27%	11%	50	-2.0
✕Adam Stern 2008 · MLB	28	49→54	40	56→55	41	236/273/336	100	298	7	24	23%	5%	71	-0.8	240/283/330	90	293	6	21	19%	5%	73	-0.6	252/298/336	85	299	5	21	17%	6%	76	-0.2
✕DaShawn Keirsey Jr. 2024 · AAA	27	50→54	43→45	62→60	41	238/291/355	116	325	10	31	29%	6%	82	+0.0	231/282/345	114	321	10	34	29%	6%	76	-0.4	221/271/326	105	312	9	41	30%	6%	66	-0.7
✕Riley Unroe 2024 · AAA	28	44→47	44→45	54→55	50	216/293/331	115	279	11	21	26%	9%	78	-0.3	217/297/337	120	296	12	22	28%	10%	81	-0.1	202/289/323	121	280	13	23	30%	10%	72	-0.3
✕Lorenzo Scott 2010 · AAA	28	50	41→45	53→60	44	230/296/329	99	344	9	26	34%	8%	78	-0.3	217/277/326	109	358	9	16	39%	7%	71	-0.8	225/288/351	126	371	11	10	39%	7%	78	-0.2
✕Jorge Mateo 2023 · MLB	28	44→50	48→50	60→65	40	224/272/371	148	287	14	32	27%	5%	79	-0.2	220/268/357	137	277	14	40	25%	6%	74	-0.5	209/250/335	125	273	13	52	28%	5%	63	-0.4
✕Garrett Stubbs 2021 · MLB	28	46	44→45	54→50	48	228/293/349	121	274	11	17	21%	7%	82	+0.0	227/309/347	120	288	12	12	24%	10%	88	+0.4	219/308/324	105	279	10	10	23%	11%	83	+0.0
✕Logan Warmoth 2024 · AAA	28	41→40	42→40	52→55	43	200/277/305	105	293	10	23	33%	8%	67	-1.1	198/276/285	87	279	8	18	29%	9%	61	-1.5	157/249/194	37	224	3	17	28%	10%	31	-1.7

Hyeseong Kim

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps