Hyungchan Um — OGILVIE

Hyungchan UmC Columbia Fireflies

Age 22 R/R 5'11" / 190 lbs A HR -15%K -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION352 act + 9 ros · stats below = ROS only

showingROS

wRC+†66

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP273

ISO95

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · ContractCON 35 / POW 30

Toolsscout grade

CONTACT35

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED45

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2031
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	+0.5	$1M	+$0.8M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$1M	+0.3	$0.7M	+$0.1M
2035	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$0.6M	—	—	—
Totals		$4M		$4M	+$2M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2023	19	ROK	ACL Royals	—	59	50	11	2	0	1	7	15	0	1	0	220	316	320	636	100	278	25	12	284	79	-2	+0	—	—	+1	-0.0
2023	19	INTL	Brisbane Bandits	—	122	117	29	3	0	4	3	29	1	1	0	248	273	376	649	128	294	24	2	286	80	-3	+0	—	—	+3	-0.0
2024	20	A	Columbia Fireflies	—	198	166	34	5	0	4	25	56	7	1	1	205	333	307	641	102	283	28	13	303	91	-2	-0	—	—	+4	0.2
2024	20	ROK	ACL Royals	—	116	100	31	7	0	4	12	25	3	3	0	310	397	500	897	190	380	22	10	396	154	+8	+1	—	—	+3	1.1
2024	20	INTL	Brisbane Bandits	—	155	139	40	6	1	10	10	39	4	3	1	288	353	561	914	273	330	25	6	393	152	+10	+0	—	—	+3	1.3
2025	21	A	Columbia Fireflies	—	262	222	50	13	0	3	32	54	6	4	1	225	338	324	663	99	283	21	12	307	94	-2	+0	—	—	+6	0.4
2025	21	ROK	ACL Royals	—	31	29	8	2	0	0	1	4	0	0	0	276	300	345	645	69	320	13	3	281	76	-1	+0	—	—	+1	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	ACL Royals	—	59	53	8	1	0	1	4	22	0	1	0	151	211	226	437	75	215	37	7	202	23	-5	+0	—	—	+1	-0.4
2024	20	A MLE	Columbia Fireflies	—	198	176	26	4	0	3	15	83	7	1	1	148	242	222	464	74	254	42	8	216	32	-16	-0	—	—	+4	-1.2
2024	20	ROK MLE	ACL Royals	—	116	106	23	5	0	3	7	35	3	3	0	217	284	349	634	132	282	30	6	273	71	-4	+1	—	—	+3	-0.1
2025	21	A MLE	Columbia Fireflies	—	262	234	40	11	0	2	20	78	6	4	1	171	254	244	497	73	239	30	8	227	40	-19	+0	—	—	+6	-1.3
2025	21	ROK MLE	ACL Royals	—	31	29	6	1	0	0	1	6	0	0	0	207	233	241	475	34	252	19	3	207	26	-3	+0	—	—	+1	-0.2
2023	19	INTL MLE	2 teams	—	181	163	24	4	0	2	14	66	1	2	0	147	219	209	428	61	224	36	8	202	23	—	—	—	—	—	—
2023	19	INTL RAW	2 teams	—	181	167	40	5	0	5	10	44	1	2	0	240	287	359	646	120	289	24	6	286	23	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	469	419	73	13	0	9	34	175	14	7	2	174	259	270	529	95	271	37	7	237	47	—	—	—	—	—	—
2024	20	A RAW	3 teams	—	469	405	105	18	1	18	47	120	14	7	2	259	355	442	797	183	325	26	10	356	47	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	293	263	46	12	0	2	21	84	6	4	1	175	252	243	495	68	247	29	7	225	38	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	293	251	58	15	0	3	33	58	6	4	1	231	334	327	661	96	288	20	11	304	38	—	—	—	—	—	—
2023	19	INTL MLE	2 teams	—	181	164	24	4	0	2	14	66	1	2	0	146	219	207	426	61	215	36	8	202	23	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	469	418	73	13	0	9	34	175	14	7	2	175	259	270	529	96	264	37	7	237	47	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	293	264	46	12	0	2	21	84	6	4	1	174	252	242	494	68	240	29	7	225	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	INTL MLE	2 teams	—	181	164	24	4	0	2	14	66	1	2	0	146	219	207	426	61	215	36	8	202	23	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	469	418	73	13	0	9	34	175	14	7	2	175	259	270	529	96	264	37	7	237	47	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	293	264	46	12	0	2	21	84	6	4	1	174	252	242	494	68	240	29	7	225	38	—	—	—	—	—	—
YTD	22	A MLE	KC	—	352	307	63	6	3	8	29	114	8	9	1	205	291	322	613	117	293	32	8	268	68	-14	+1	+0	+6	+8	0.2
▸ 2026 season
YTD	22	A RAW	KC	—	276	230	56	5	2	8	34	60	7	8	0	243	358	387	745	143	291	22	12	334	68	—	—	—	—	—	—
YTD	22	A+ RAW	KC	—	37	29	7	2	1	1	6	12	1	1	0	241	389	483	872	241	375	32	16	376	68	—	—	—	—	—	—
YTD	22	AA RAW	KC	—	39	33	9	1	1	0	4	10	0	0	1	273	351	364	715	91	391	26	10	308	68	—	—	—	—	—	—
ROS	22	A MLE	KC	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		275	33	11	265	66	-0	+0	+0	+0	+0	-0.0
TOT	22	A MLE	KC	—	361	315	64	6	3	8	30	117	8	9	1	203	289	317	606	114	290	32	8	268	68	-14	+1	+0	+6	+8	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	KC	34%	395	354	73	12	2	8	31	116	7	5	1	206	283	319	602	113	279	29	8	275	73	-13	+1	+0	+7	+9	0.3
2028	24	MLB MLE	KC	46%	450	403	85	14	2	10	36	129	8	6	1	211	289	330	619	119	281	29	8	282	77	-12	+1	+0	+8	+10	0.7
2029	25	MLB MLE	KC	52%	475	424	90	15	2	11	39	134	9	7	1	212	292	335	627	123	282	28	8	287	80	-11	+1	+0	+8	+10	0.9
2030	26	MLB MLE	KC	54%	489	437	93	15	2	12	40	137	9	7	1	213	292	339	631	126	282	28	8	289	81	-11	+1	+0	+9	+11	1.0
2031	27	MLB MLE	KC	54%	491	438	93	15	2	12	41	138	9	8	1	212	293	338	631	126	282	28	8	289	81	-11	+1	+0	+9	+11	1.0
2032	28	MLB MLE	KC	58%	488	435	93	15	2	12	41	137	9	7	1	214	295	340	635	126	281	28	8	288	81	-11	+1	-1	+9	+11	0.9
2033	29	MLB MLE	KC	60%	480	427	90	15	2	11	41	136	9	7	1	211	294	333	626	122	280	28	9	286	79	-12	+1	-1	+9	+10	0.7
2034	30	MLB MLE	KC	62%	470	419	88	14	2	11	40	135	8	6	1	210	291	332	623	122	279	29	9	283	78	-13	+1	-2	+8	+10	0.5
2035	31	MLB MLE	KC	63%	442	393	82	13	2	10	38	128	8	6	1	209	292	328	620	120	276	29	9	279	75	-13	+1	-3	+8	+10	0.2
2036	32	MLB MLE	KC	64%	412	367	75	12	2	9	35	121	7	5	1	204	286	322	608	117	273	29	8	273	71	-14	+1	-4	+7	+9	-0.1
2027	23	MLB CTX	KC	34%	136	121	25	4	1	3	11	40	3	2	0	207	289	331	619	124	276	29	8	257	73	-4	+0	+0	+2	+3	0.1
2028	24	MLB CTX	KC	46%	208	185	38	6	1	4	17	59	4	3	1	205	286	314	600	108	278	28	8	264	77	-6	+0	+0	+4	+5	0.3
2029	25	MLB CTX	KC	52%	245	219	45	7	1	5	20	69	4	4	1	205	284	315	599	110	279	28	8	268	80	-6	+0	+0	+4	+5	0.4
2030	26	MLB CTX	KC	54%	265	236	50	8	1	6	22	74	5	4	1	212	293	331	623	119	279	28	8	270	81	-6	+0	+0	+5	+6	0.5
2031	27	MLB CTX	KC	54%	266	237	50	8	1	6	22	75	5	4	1	211	292	329	621	118	278	28	8	270	81	-6	+0	+0	+5	+6	0.5
2032	28	MLB CTX	KC	58%	285	254	54	9	2	6	24	80	5	4	1	213	293	335	628	122	278	28	8	269	81	-7	+0	-0	+5	+6	0.5
2033	29	MLB CTX	KC	60%	290	258	53	9	1	6	25	82	5	4	1	205	288	318	606	112	277	28	9	268	79	-7	+0	-1	+5	+6	0.4
2034	30	MLB CTX	KC	62%	291	259	53	9	1	6	25	83	5	4	1	205	287	317	604	112	276	29	9	265	78	-8	+0	-1	+5	+6	0.3
2035	31	MLB CTX	KC	63%	278	247	50	8	1	6	24	80	5	4	1	202	286	316	602	113	273	29	9	261	75	-8	+0	-2	+5	+6	0.1
2036	32	MLB CTX	KC	64%	262	233	46	7	1	5	22	77	5	3	1	197	281	300	581	103	270	29	8	256	71	-9	+0	-2	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2526	2249	464	75	11	53	212	719	46	36	9	206	288	320	608	114	276	28	8	265	71	-66	+4	-7	+45	+55	3.1
/ 162G	—	A+C		—	650	579	120	19	3	14	55	185	12	9	2	207	290	323	613	116	277	28	8	265	71	-17	+1	-2	+12	+14	0.8
Career	—	MLE		—	5544	4950	1006	169	20	119	452	1639	104	77	13	203	284	318	601	114	276	30	8	274	71	-121	+9	-10	+82	+100	6.0
/ 162G	—	MLE		—	650	580	118	20	2	14	53	192	12	9	2	203	284	317	601	114	276	30	8	274	71	-17	+1	-1	+12	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#4Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.3	2,846	63	40	210	287	330	+51	+24	5.3	4.8
/162	664	15	9	+11.9	+5.6	1.2	pk7: 4
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4

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
Hyungchan Um (OGILVIE)	22	35	30	45	50	197/276/298	102	275	6	6	31%	8%	66	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Andy Paz 2015 · A	22	38	38→40	45	44	186/245/261	75	253	6	5	28%	7%	44	-2.8	217/271/283	66	297	4	6	26%	7%	58	-1.7	246/291/294	49	312	2	7	21%	6%	64	-0.4
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Luis De La Cruz 2011 · A	22	39	40→30	47→30	38	193/228/291	98	250	6	6	26%	4%	44	-2.8	234/265/314	80	285	4	6	19%	4%	62	-1.4	265/287/332	67	311	3	4	16%	3%	71	-0.3
✕Alex Todd 2012 · A	22	39	37→40	44→45	39	187/248/259	72	259	4	4	28%	5%	45	-2.7	223/289/310	87	301	6	6	26%	6%	72	-0.7	241/310/327	86	323	6	5	25%	5%	81	-0.0
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Wilkin Grullon 2022 · A	22	40	37→30	46→45	41	189/264/263	74	280	5	4	32%	7%	52	-2.2	196/257/296	100	321	9	5	39%	7%	57	-1.8	151/209/258	107	249	12	0	42%	6%	27	-0.7
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/262/267	82	249	8	7	28%	9%	53	-2.1	202/263/289	87	282	6	8	29%	7%	57	-1.8	190/245/265	75	263	4	7	28%	7%	42	-0.7
✕Victor Duarte 2022 · A	21	39	38→30	48→45	42	188/251/270	82	260	6	7	29%	6%	49	-2.4	199/275/282	83	287	6	6	30%	8%	61	-1.5	182/254/249	67	248	6	11	27%	8%	43	-0.7
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/288	80	272	6	7	25%	9%	68	-1.0	227/312/290	63	312	3	5	26%	8%	76	-0.4	234/324/284	50	326	2	2	25%	8%	77	-0.1
✕Deivi Mejia 2011 · A	21	40	39→40	43→30	44	193/264/278	85	266	7	5	29%	8%	55	-1.9	212/259/304	92	276	7	4	25%	4%	59	-1.7	224/268/311	87	267	6	1	18%	3%	64	-0.5
✕Corey Joyce 2021 · A	22	44	40	50	39	211/267/307	95	311	8	8	33%	6%	63	-1.4	201/290/309	108	293	11	12	33%	9%	74	-0.6	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	187/275/268	81	281	6	3	33%	9%	58	-1.7	189/257/267	78	337	4	5	41%	7%	50	-2.3	169/224/243	75	318	2	4	44%	5%	29	-1.2
✕Gerardo Bustamante 2008 · A	22	38	39→40	42→50	40	189/237/273	83	260	8	4	30%	6%	43	-2.8	198/258/276	78	270	5	5	27%	7%	52	-2.2	215/252/293	77	268	9	12	23%	4%	50	-0.7
✕Alexis Wilson 2019 · A	22	41	38→40	48→30	45	195/262/274	79	264	5	4	27%	8%	53	-2.1	220/270/311	91	282	9	5	24%	6%	64	-1.3	224/269/304	80	272	10	1	21%	5%	59	-0.6
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	216/267/308	92	323	7	4	33%	6%	62	-1.4	212/260/299	87	317	7	0	34%	5%	55	-0.8
✕Braulio Vasquez 2021 · A	22	41	39→40	44→65	38	195/256/276	80	309	6	7	37%	6%	51	-2.2	207/280/301	94	303	7	30	31%	7%	67	-1.1	200/278/292	91	290	6	42	30%	7%	62	-0.6

Career Stats + Projections

Career Comps

Career Path Comps