Hyeseong Kim — OGILVIE

Hyeseong Kim2B Los Angeles Dodgers

Age 27 L/R 5'10" / 175 lbs MLB HR +15%K -3% Svc 1.000 · Ctrl thru 2030 peak 1.6 · 2026

wRC+†vL 20595vR 104

AVG/OBP/SLG.226 / .278 / .350

PA350

HR8

SB20

K%30

BB%6

MLB%100%

Scouting · now → future

HIT

40→40

PWR

35→35

SPD

60→60

EYE

38↗40

trajectory · 10 yrs

0.9peak

2027

Contract

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

Status Pre-Arb

MLB Debut 2025

Service 1.000 yrs.days

Team Control Through 2030

First FA Year 2030

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$4M	+1.6	$13M	+$9M
2027	Pre-Arb	$4M	+1.3	$11M	+$7M
2028	Arb-1	$5M	+1.2	$10M	+$5M
2029	Arb-2	$5M	+1.0	$9M	+$4M
2030	Arb-3	$4M	+0.7	$3M	+$0.0M (cut)
Totals		$21M		$46M	+$24M

Career Projections (MLE)

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	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
2025	26	MLB	2 teams	339	317	82	13	3	7	15	105	4	27	2	.259	.301	.385	.685	.126	.364	31	4	.298	86	-5	+5	+1	+1	+10	1.1
▸ 2026 Season (actual · ROS · total)
2026	27	MLB	2 teams	73	61	19	3	0	1	9	19	1	4	0	.311	.408	.410	.818	.098	.419	26	12	.360	134	+3	+1	+1	+1	+2	0.8
ROS	27	MLB	LAD	277	253	61	10	2	6	19	82	3	16	3	.241	.302	.368	.669	.126	.325	30	7	.296	85	-5	+2	+3	+1	+8	0.9
TOT	27	MLB	LAD	350	314	80	13	2	7	28	101	4	20	3	.255	.324	.376	.699	.121	.349	29	8	.309	95	-2	+3	+4	+2	+10	1.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB	LAD	392	357	87	14	2	9	27	101	5	23	4	.244	.306	.370	.676	.126	.309	26	7	.298	86	-6	+3	+3	+1	+11	1.3
2028	29	MLB	LAD	390	356	84	13	2	8	27	101	4	22	3	.236	.297	.351	.648	.115	.308	26	7	.296	85	-7	+3	+2	+1	+11	1.1
2029	30	MLB	LAD	388	354	83	13	2	8	27	102	4	21	3	.234	.296	.350	.646	.116	.307	26	7	.293	82	-8	+3	+2	+1	+11	0.9
2030	31	MLB	LAD	373	340	79	12	2	7	26	100	4	18	2	.232	.295	.341	.636	.109	.305	27	7	.289	79	-9	+3	+1	+1	+11	0.7
2031	32	MLB	LAD	354	322	74	11	2	7	25	97	4	16	2	.230	.293	.342	.635	.112	.303	27	7	.284	75	-10	+2	-0	+1	+10	0.4
2032	33	MLB	LAD	324	295	67	10	2	6	23	91	3	13	1	.227	.290	.336	.625	.108	.302	28	7	.278	71	-11	+2	-1	+1	+9	0.1
2033	34	MLB	LAD	280	256	56	8	1	5	19	81	3	11	1	.219	.281	.316	.597	.098	.300	29	7	.271	66	-11	+2	-2	+1	+8	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			3117	2850	673	104	18	63	208	860	34	167	21	.236	.296	.352	.648	.115	.314	28	7	.290	80	-71	+25	+7	+11	+88	6.2
/ 162G	—			650	594	141	22	4	13	43	179	7	35	4	.237	.296	.354	.650	.116	.316	28	7	.290	80	-15	+5	+2	+2	+18	1.3

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	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
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	96	-1	+2	+1	+1	+5	0.9
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	122	+4	+2	—	—	+5	1.2
▸ 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	96	-1	+2	+1	+1	+5	0.9

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
Hyeseong Kim (OGILVIE)	27	40	35	60	40	.233/.291/.359	.126	.306	8	22	27%	6%	82	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bryce Johnson 2023 · MLB	27	49→50	42→45	62→60	42	.229/.295/.331	.102	.339	9	34	33%	7%	76	+0.0	.230/.303/.337	.107	.323	9	29	29%	8%	81	+0.4	.232/.311/.335	.103	.321	8	29	28%	8%	80	+0.2
✕Max Schuemann 2023 · AAA	26	46→47	44→45	59→60	46	.220/.309/.338	.117	.303	11	30	29%	8%	85	+0.7	.222/.314/.329	.107	.299	10	22	27%	10%	85	+0.7	.216/.313/.311	.095	.285	9	20	25%	10%	77	+0.1
✕Johneshwy Fargas 2022 · MLB	27	44→49	43→45	59→65	39	.216/.266/.324	.108	.289	10	36	28%	5%	62	-0.9	.211/.271/.334	.123	.287	14	31	30%	5%	67	-0.5	.184/.255/.288	.104	.249	14	44	31%	5%	48	-0.9
✕Drew Avans 2023 · AAA	27	49→53	42→45	64→60	45	.230/.302/.347	.117	.332	8	33	31%	8%	82	+0.5	.222/.293/.323	.101	.317	8	28	30%	9%	73	-0.1	.223/.294/.314	.091	.311	8	30	29%	9%	68	-0.5
✕Tanner Kirwer 2023 · AA	27	43	43→40	59→60	45	.210/.290/.313	.104	.303	12	32	33%	9%	70	-0.3	.205/.276/.302	.097	.296	10	29	32%	7%	61	-1.0	.172/.244/.246	.074	.244	9	46	32%	7%	30	-1.1
✕J.P. Martínez 2023 · AAA	27	44→45	47→50	62→65	43	.210/.289/.348	.138	.323	13	30	37%	9%	79	+0.3	.212/.293/.344	.132	.312	13	37	33%	9%	79	+0.3	.205/.290/.325	.120	.298	11	45	32%	9%	70	-0.3
✕Jordan Schafer 2014 · MLB	27	47→53	39→50	59→65	49	.223/.294/.309	.086	.294	6	36	25%	9%	69	-0.4	.224/.291/.313	.089	.294	7	39	24%	9%	69	-0.4	.227/.298/.291	.064	.288	2	75	20%	9%	61	-0.4
✕Tyler Wade 2022 · MLB	27	49→55	41→45	57→60	47	.234/.304/.335	.101	.308	8	30	25%	8%	81	+0.4	.224/.293/.312	.088	.293	7	38	24%	8%	70	-0.3	.228/.300/.289	.061	.309	4	40	25%	8%	63	-0.4
✕Todd Donovan 2006 · AAA	27	51→53	42→40	65	44	.244/.302/.354	.110	.305	9	41	22%	6%	85	+0.7	.238/.296/.324	.086	.297	6	40	21%	7%	73	-0.1	.235/.307/.301	.067	.300	3	43	21%	9%	70	-0.2
✕Chase d'Arnaud 2014 · MLB	27	44→49	41→45	61→60	42	.214/.259/.315	.101	.269	7	33	23%	5%	56	-1.3	.217/.263/.306	.089	.269	6	29	21%	5%	56	-1.3	.229/.293/.350	.121	.292	11	26	24%	7%	77	+0.1
✕DaShawn Keirsey Jr. 2023 · AA	26	44→54	44→50	59→60	38	.213/.266/.329	.116	.307	11	30	33%	6%	63	-0.8	.239/.292/.364	.125	.331	11	32	29%	6%	82	+0.5	.242/.297/.372	.130	.330	12	35	29%	6%	84	+0.5
✕Eric Patterson 2010 · MLB	27	50→56	44→50	61→60	47	.245/.298/.372	.128	.299	11	30	22%	7%	87	+0.8	.223/.281/.354	.131	.284	11	28	24%	7%	76	+0.0	.201/.266/.320	.119	.261	9	26	26%	8%	58	-0.5
✕Roman Quinn 2020 · MLB	27	51→56	45	63→65	44	.246/.302/.378	.132	.328	11	32	28%	7%	90	+1.0	.232/.301/.361	.129	.330	12	31	31%	8%	86	+0.8	.188/.279/.294	.106	.322	9	41	40%	9%	58	-0.3
✕Tyler Graham 2011 · AAA	27	54	39→40	58→65	42	.259/.302/.343	.084	.325	7	39	22%	5%	81	+0.4	.244/.298/.319	.075	.312	4	42	22%	5%	73	-0.1	.233/.284/.288	.054	.295	3	48	21%	5%	56	-0.8
✕Lane Adams 2017 · AAA	27	45	45→50	58→60	41	.223/.277/.341	.118	.297	12	31	29%	6%	71	-0.3	.212/.269/.342	.130	.316	14	30	35%	7%	68	-0.5	.190/.254/.328	.139	.294	16	28	39%	7%	55	-0.7
✕Michael Gigliotti 2023 · AA	27	42	46→40	57→55	48	.206/.304/.336	.130	.293	14	25	32%	10%	82	+0.5	.214/.310/.321	.107	.288	9	17	26%	10%	81	+0.4	.206/.316/.294	.088	.270	5	13	23%	12%	76	+0.0
✕Lorenzo Scott 2009 · AAA	27	50→48	40→45	56→60	41	.224/.292/.315	.091	.364	7	30	38%	8%	70	-0.3	.225/.290/.335	.110	.363	10	20	37%	8%	75	-0.0	.225/.291/.341	.116	.359	11	15	37%	8%	75	+0.0
✕Mike Antico 2023 · AA	25	41→42	45	62→60	45	.206/.275/.333	.127	.274	13	35	29%	8%	69	-0.4	.213/.276/.339	.126	.288	13	35	29%	7%	70	-0.3	.215/.278/.338	.123	.290	14	35	30%	7%	68	-0.4
✕Quintin Berry 2012 · AAA	27	49→58	39→40	58→65	46	.232/.298/.313	.081	.314	7	34	27%	8%	72	-0.2	.229/.299/.304	.075	.314	5	36	26%	8%	71	-0.3	.230/.303/.293	.064	.312	3	38	25%	8%	67	-0.4
✕Nathan Haynes 2007 · AAA	27	48	41→40	55	42	.228/.280/.337	.109	.310	7	25	28%	6%	70	-0.3	.252/.297/.349	.097	.334	6	25	25%	5%	80	+0.4	.268/.307/.349	.081	.350	5	28	24%	5%	81	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)