Seong-Jun Kim

SS ACL Rangers

Age 20 R/R 6'0" / 185 lbs ROK HR +15%BB +5% Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

OGV OFP35OGV rank#1639ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	19	A/ROKTEX	186	.287/.395/.522	8	8	63	—	.193/.276/.356
2027PROJMLE	20	MLBTEX	296	.198/.266/.315	6	5	64	-0.1
2028PROJ34% MLB	21	MLBTEX	56	.203/.272/.329	1	1	68	-0.0
2029PROJ48% MLB	22	MLBTEX	127	.207/.276/.337	3	2	71	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$2M+2

Career WAR0.0 WAR median (P10 0.0 / P90 1.5, comp-based) · star 1% · didn't stick 92%

CompsJhostynxon Garcia (age 20) · Denzer Guzman (age 20) · Cutter Coffey (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 108 proj PA

wRC+†64

AVG/OBP/SLG.197 / .264 / .312

PA108

HR2

K%33

BB%7

ISO117

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$2M	—	—	—
Totals		$3M		$3M	+$0.6M

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)
2026	19	A	Hickory Crawdads	—	26	25	5	2	0	1	1	9	0	0	0	200	231	400	631	200	267	35	4	275	16	—	—	—	—	—	—
2026	19	ROK	ACL Rangers	—	160	132	40	9	1	7	24	51	3	8	0	303	421	545	967	242	440	32	15	422	71	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	19	A MLE	Hickory Crawdads	—	26	25	4	1	0	1	1	12	0	0	0	160	192	320	512	160	241	46	4	192	16	—	—	—	—	—	—
2026	19	ROK MLE	ACL Rangers	—	160	141	28	6	1	5	15	73	3	8	0	199	289	362	651	163	339	46	9	273	71	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	186	166	31	7	1	5	16	86	3	8	0	187	270	331	602	145	342	46	9	262	63	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	186	157	45	11	1	8	25	60	3	8	0	287	395	522	917	236	411	32	13	401	63	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	186	165	31	7	1	5	16	86	3	8	0	188	270	333	604	145	325	46	9	262	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	19	ROK MLE	2 teams	—	186	165	31	7	1	5	16	86	3	8	0	188	270	333	604	145	325	46	9	262	63	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TEX	0%	296	269	54	10	2	6	22	99	3	5	1	198	266	315	581	117	284	33	7	263	64	-13	+1	-1	+3	+6	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TEX	34%	162	147	30	6	1	3	12	53	2	3	1	202	271	324	595	122	286	33	7	269	68	-6	+0	-1	+2	+4	-0.1
2029	22	MLB MLE	TEX	48%	262	237	49	9	2	6	20	84	3	5	1	206	275	331	607	126	287	32	8	273	71	-9	+1	-1	+3	+6	-0.1
2030	23	MLB MLE	TEX	54%	353	319	66	12	2	8	27	111	4	7	2	209	279	338	617	129	288	31	8	277	74	-11	+1	-0	+4	+8	0.1
2031	24	MLB MLE	TEX	55%	412	373	79	15	2	10	32	127	4	8	2	212	282	343	625	131	289	31	8	281	76	-12	+1	+0	+4	+9	0.3
2032	25	MLB MLE	TEX	56%	445	402	86	16	3	11	35	135	5	8	2	213	284	347	631	133	289	30	8	283	78	-12	+1	+1	+5	+10	0.5
2033	26	MLB MLE	TEX	56%	461	417	89	17	3	11	36	140	5	9	2	213	284	346	630	133	289	30	8	283	78	-12	+1	+1	+5	+10	0.5
2034	27	MLB MLE	TEX	55%	467	422	90	17	3	11	37	143	5	9	2	212	283	344	627	132	288	31	8	282	77	-13	+1	+1	+5	+10	0.5
2035	28	MLB MLE	TEX	55%	465	421	89	17	3	11	36	143	5	8	2	211	281	340	620	129	287	31	8	279	75	-14	+1	+1	+5	+10	0.3
2036	29	MLB MLE	TEX	58%	455	413	85	16	2	10	35	141	4	7	2	208	278	334	612	125	286	31	8	276	73	-15	+1	-0	+5	+10	0.0
2028	21	MLB CTX	TEX	34%	56	51	10	2	0	1	4	18	1	1	0	203	272	329	601	126	285	32	7	271	68	-2	+0	-0	+1	+1	-0.0
2029	22	MLB CTX	TEX	48%	127	115	24	4	1	3	10	41	1	2	1	207	276	337	613	130	286	32	8	276	71	-4	+0	-0	+1	+3	-0.1
2030	23	MLB CTX	TEX	54%	191	172	36	6	1	5	15	60	2	4	1	210	280	343	623	133	287	31	8	280	74	-6	+0	-0	+2	+4	0.1
2031	24	MLB CTX	TEX	55%	228	206	44	8	1	6	18	70	2	4	1	213	283	348	631	136	288	31	8	283	76	-6	+0	+0	+2	+5	0.2
2032	25	MLB CTX	TEX	56%	249	225	48	9	1	6	19	76	3	5	1	215	285	352	637	138	289	31	8	286	78	-7	+1	+1	+3	+5	0.3
2033	26	MLB CTX	TEX	56%	259	234	51	9	2	7	20	79	3	5	1	214	285	352	637	138	288	31	8	285	78	-7	+1	+1	+3	+6	0.3
2034	27	MLB CTX	TEX	55%	258	233	50	9	1	7	20	79	3	5	1	213	284	349	633	136	288	31	8	284	77	-7	+1	+1	+3	+6	0.3
2035	28	MLB CTX	TEX	55%	255	230	48	9	1	6	20	78	3	4	1	212	282	345	627	133	287	31	8	281	75	-8	+0	+0	+3	+6	0.1
2036	29	MLB CTX	TEX	58%	264	238	49	9	1	6	21	82	3	4	1	209	279	339	618	129	286	31	8	278	73	-9	+0	-0	+3	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1887	1704	360	65	9	47	147	583	21	34	8	211	282	343	625	131	289	31	8	282	74	-56	+4	+2	+20	+41	1.1
/ 162G	—	A+C		—	650	587	123	22	3	16	51	201	7	12	3	210	281	339	620	129	287	31	8	282	74	-19	+1	+1	+7	+14	0.4
Career	—	MLE		—	3776	3415	714	136	23	88	294	1199	41	74	16	209	280	340	619	131	292	32	8	278	74	-108	+7	+3	+38	+78	1.8
/ 162G	—	MLE		—	650	588	122	23	4	15	51	206	7	13	3	207	279	337	615	129	289	32	8	278	74	-20	+1	+1	+7	+14	0.3

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 ROKACL Rangers · 160 PAwOBA .414 → .273 (−141)K% 31.9% → 45.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.87%	÷1.000	×1.440	—	—	45.90%
BB% (unintentional) /PA	15.00%	÷1.000	×0.620	—	×1.008	9.37%
HBP% /PA	1.88%	—	×0.720	—	×1.008	1.36%
Singles /BIP	28.40%	÷1.000	×0.820	×0.990	×1.008	23.23%
Doubles /BIP	11.11%	÷1.000	×0.720	×0.990	×1.008	7.98%
Triples /BIP	1.23%	÷1.000	×0.720	×0.990	×1.008	0.89%
Home runs /BIP	8.64%	÷1.000	×0.780	—	×1.008	6.79%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .414 → .273; ISO .242 → .158; BABIP .440 → .339. 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).

2026 AHickory Crawdads · 26 PAwOBA .267 → .192 (−75)K% 34.6% → 47.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.62%	÷1.000	×1.360	—	—	47.08%
BB% (unintentional) /PA	3.85%	÷1.000	×0.690	—	×1.045	2.77%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	12.50%	÷1.000	×0.920	—	×1.045	12.02%
Doubles /BIP	12.50%	÷1.000	×0.830	—	×1.045	10.84%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.045	0.00%
Home runs /BIP	6.25%	÷1.000	×0.800	—	×1.045	5.22%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .267 → .192; ISO .200 → .138; BABIP .267 → .241. 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
#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
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Luis Rivera'86-'98 * career totals — 8 seasons, 2,453 PA	3.7	2,453	28	20	232*	291*	357*	+24	+5	1.2	2.3
/162	664	8	5	+6.4	+1.4	0.3	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.0	1,996	46	36	211	278	341	+21	+3	2.2	2.1
/162	664	15	12	+7.1	+0.9	0.7	pk7: 2
#4Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#5Johnnie LeMaster'75-'87 * career totals — 11 seasons, 3,515 PA	5.3	3,515	22	94	218*	275*	313*	+37	-13	-3.1	-0.9
/162	664	4	18	+7.0	-2.4	-0.6	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
Seong-Jun Kim (OGILVIE)	20	—	—	—	—	197/264/312	116	284	2	2	33%	7%	64	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jhostynxon Garcia 2023 · A	20	36→44	40→50	47→50	46	175/264/271	96	263	7	8	34%	10%	55	-2.0	204/267/339	135	290	14	10	33%	7%	70	-0.8	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Denzer Guzman 2024 · A	20	39→49	40→45	48→50	39	191/246/287	96	288	7	7	35%	7%	50	-2.3	209/268/322	113	303	11	10	33%	7%	67	-1.1	217/278/341	124	295	14	11	30%	7%	72	-0.6
✕Cutter Coffey 2024 · A	20	38→45	39→45	49→50	44	185/262/271	86	271	7	13	32%	8%	53	-2.1	201/271/317	116	296	12	10	34%	8%	67	-1.1	199/268/315	116	299	12	9	35%	8%	63	-0.9
✕Yunior Garcia 2021 · A	20	38→48	41→45	48→30	36	190/240/287	97	286	9	7	36%	5%	48	-2.5	223/273/336	113	325	11	4	33%	5%	72	-0.7	228/278/346	118	323	12	2	32%	5%	72	-0.3
✕Keyber Rodriguez 2021 · A	20	39→47	41→45	51→50	42	194/248/295	101	262	9	7	29%	6%	53	-2.1	210/260/291	81	292	6	11	29%	6%	56	-1.9	212/256/312	100	274	9	12	25%	5%	58	-1.4
✕Gavin Conticello 2024 · A	21	36→46	45	48→50	40	185/254/310	126	264	13	8	34%	7%	59	-1.6	219/279/344	125	300	11	8	29%	7%	76	-0.4	230/290/358	128	308	12	7	28%	7%	80	-0.1
✕Jose Cordoba 2023 · A	20	37	41→40	44→55	40	185/250/278	93	262	9	9	32%	6%	50	-2.3	205/259/296	91	278	6	11	27%	6%	57	-1.8	203/257/294	91	267	4	15	24%	5%	53	-0.9
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Cutter Dykstra 2010 · A	21	41→51	40	47→55	43	199/261/283	85	276	8	11	30%	7%	55	-1.9	223/280/299	76	311	6	16	28%	7%	65	-1.2	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Noel Cuevas 2012 · A	20	42→52	42→45	48→55	37	209/244/317	108	280	9	11	29%	4%	55	-1.9	222/266/327	105	284	8	19	24%	5%	66	-1.1	254/287/363	108	316	8	12	22%	3%	80	-0.1
✕James Harris 2015 · A	21	40→50	41→40	48→50	39	197/249/291	93	283	10	12	33%	6%	52	-2.2	222/284/313	91	316	7	13	30%	7%	70	-0.8	230/296/319	88	325	6	15	29%	8%	73	-0.5
✕Edgar Corcino 2012 · A	20	34→44	40→45	44→45	37	172/232/256	83	269	8	6	37%	6%	38	-3.2	199/254/295	96	301	9	6	35%	6%	55	-2.0	232/277/343	111	292	10	4	23%	5%	73	-0.4
✕Gabriel Cancel 2017 · A	20	41→46	43→50	47→50	38	203/247/318	115	281	9	6	30%	5%	57	-1.8	217/257/344	127	294	13	7	30%	4%	68	-1.0	174/239/298	124	269	15	16	39%	7%	48	-0.9
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	75	292	5	11	30%	6%	53	-2.1	193/262/269	76	307	6	15	36%	7%	53	-2.1	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Ethan Workinger 2022 · A	20	38→41	40→45	50→45	37	182/243/274	92	287	7	6	37%	6%	47	-2.6	199/249/314	115	274	11	5	30%	6%	57	-1.8	198/253/321	123	239	15	9	24%	6%	58	-1.1
✕Jhonkensy Noel 2021 · A	20	40→42	43→55	47→45	42	202/266/309	107	265	11	7	28%	6%	63	-1.3	222/273/394	172	288	23	5	31%	5%	86	+0.3	200/264/382	182	250	25	1	31%	6%	78	-0.3
✕Iverson Leonardo 2022 · A	20	40	43→45	47→50	42	192/272/308	116	291	10	9	35%	8%	65	-1.2	188/265/289	101	308	9	8	38%	8%	59	-1.7	157/243/251	94	257	8	8	39%	8%	41	-0.7
✕William Lugo 2022 · A	20	36→40	42→45	46→45	40	176/250/272	95	284	10	7	39%	8%	49	-2.4	192/257/309	117	274	12	4	33%	7%	60	-1.6	177/248/292	115	248	12	4	32%	7%	51	-1.6
✕Allan Castro 2023 · A	20	37→45	40→45	54→50	42	182/250/279	97	263	6	9	32%	7%	50	-2.3	207/280/322	115	282	9	13	28%	9%	71	-0.8	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Luis Verdugo 2021 · A	20	42→48	41→40	49→45	41	205/254/299	94	275	9	8	28%	6%	55	-1.9	197/247/287	90	277	7	5	30%	6%	50	-2.3	211/265/294	82	268	6	4	22%	6%	57	-1.2

Seong-Jun Kim

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps