Hyun-Seok Jang — OGILVIE

Hyun-Seok Jang P Ontario Tower Buzzers

Age 22 RHP 6'3" / 200 lbs A Svc 0.0 · Ctrl thru 2034 peak 0.9 · 2030

2026 ROS PROJECTION81 act + 8 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 139131vR 123

ERA5.57

FIP5.57

K%25.3%

BB%20.4%

K-BB%5.0%

ROS IP8

Value2026 · WAR

Runs saved vs league avg · 90 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$5M ctrl surplus

Grades · Contract

Scouting Grades

OFP—40

STUF4560

CMD3040

K†6060

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2030	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2032	Arb-1	$3M	+0.4	$1M	+$0.0M (cut)
2033	Arb-2	$4M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-3	$3M	—	—	—
Totals		$3M		$6M	+$3M

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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	20	MIX MLE	2 levels	18	15	37	166	68	27	4	83%	2.0	28.2%	20.1%	8.1%	5.0%	6.14	6.03	—
2024	20	MIX MLE	2 levels	18	15	37	166	68	27	4	83%	2.0	28.2%	20.1%	8.1%	5.0%	6.14	6.03	—
2024	20	MIX RAW	2 levels	18	15	37	166	68	27	4	83%	2.0	41.0%	16.3%	24.7%	2.4%	6.14	3.02	—
2025	21	A MLE	Rancho Cucamonga Quakes	13	13	41	175	54	32	4	100%	3.1	22.8%	21.6%	1.3%	2.8%	4.65	5.45	—
2025	21	A MLE	Rancho Cucamonga Quakes	13	13	41	175	54	32	4	100%	3.1	22.8%	21.6%	1.3%	2.8%	4.65	5.45	—
2025	21	A RAW	Rancho Cucamonga Quakes	13	13	41	175	54	32	4	100%	3.1	30.9%	18.3%	12.6%	2.3%	4.65	4.08	—
▸ 2026 season
YTD	22	A+ MLE	Great Lakes Loons	20	18	81	367	108	32	9	90%	4.1	22.0%	10.3%	11.7%	3.2%	5.42	4.30	—
YTD	22	A+ MLE	Great Lakes Loons	20	18	81	367	108	32	9	90%	4.1	22.0%	10.3%	11.7%	3.2%	5.42	4.30	—
▸ 2026 season — so far · projected rest · full
2026	22	A RAW	LAD	16	14	67	306	85	29	9	88%	4.2	27.8%	9.5%	18.3%	2.9%	5.91	3.57	—
2026	22	A+ RAW	LAD	4	4	14	61	23	3	0	100%	3.6	37.7%	4.9%	32.8%	0.0%	3.14	0.54	—
ROS	22	MLB MLE	LAD	2	2	8	34	9	7	1	100%	4.1	25.3%	20.4%	5.0%	3.0%	5.57	5.57	-0.1
2026 TOT	22	MLB MLE	LAD	—	—	90	401	117	39	10	—	—	29.1%	9.7%	19.4%	2.5%	5.44	4.41	+0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	LAD	23	23	127	538	139	92	16	100%	5.5	25.9%	17.2%	8.7%	3.0%	5.23	5.10	-0.3
2028	24	MLB MLE	LAD	28	28	157	661	173	100	19	100%	5.6	26.2%	15.1%	11.1%	2.9%	4.94	4.79	+0.2
2029	25	MLB MLE	LAD	30	30	175	739	195	101	22	100%	5.8	26.4%	13.7%	12.6%	2.9%	4.73	4.60	+0.6
2030	26	MLB MLE	LAD	29	29	175	739	195	100	22	100%	6.0	26.5%	13.5%	12.9%	2.9%	4.63	4.57	+0.7
2031	27	MLB MLE	LAD	29	29	172	728	192	99	22	100%	5.9	26.4%	13.6%	12.8%	3.0%	4.62	4.61	+0.6
2032	28	MLB MLE	LAD	28	28	167	706	186	97	22	100%	6.0	26.3%	13.8%	12.6%	3.1%	4.66	4.69	+0.4
2033	29	MLB MLE	LAD	27	27	160	674	176	94	22	100%	5.9	26.1%	14.0%	12.1%	3.2%	4.76	4.82	+0.1
2034	30	MLB MLE	LAD	25	25	150	634	163	91	22	100%	6.0	25.7%	14.3%	11.4%	3.4%	4.90	5.00	-0.2
2035	31	MLB MLE	LAD	23	23	140	591	150	87	22	100%	6.1	25.3%	14.6%	10.7%	3.7%	5.08	5.20	-0.5
2027	23	MLB CTX	LAD	11	11	63	266	69	46	8	100%	5.7	25.9%	17.2%	8.7%	3.1%	5.30	5.17	-0.1
2028	24	MLB CTX	LAD	19	19	109	460	120	69	14	100%	5.7	26.2%	15.1%	11.1%	3.1%	5.01	4.86	+0.1
2029	25	MLB CTX	LAD	24	24	142	600	158	82	18	100%	5.9	26.4%	13.7%	12.6%	3.1%	4.80	4.67	+0.5
2030	26	MLB CTX	LAD	26	26	153	646	171	87	20	100%	5.9	26.5%	13.5%	12.9%	3.1%	4.70	4.64	+0.6
2031	27	MLB CTX	LAD	26	26	156	659	174	90	20	100%	6.0	26.4%	13.6%	12.8%	3.1%	4.69	4.68	+0.5
2032	28	MLB CTX	LAD	26	26	154	650	171	89	21	100%	5.9	26.3%	13.8%	12.6%	3.2%	4.73	4.76	+0.4
2033	29	MLB CTX	LAD	25	25	149	629	164	88	21	100%	6.0	26.1%	14.0%	12.1%	3.4%	4.84	4.90	+0.1
2034	30	MLB CTX	LAD	24	24	141	595	153	85	21	100%	5.9	25.7%	14.3%	11.4%	3.6%	4.98	5.08	-0.2
2035	31	MLB CTX	LAD	22	22	133	562	142	82	21	100%	6.0	25.3%	14.6%	10.7%	3.8%	5.17	5.29	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		203	203	1199	5060	1321	718	165	100%	5.9	26.1%	14.2%	11.9%	3.3%	4.87	4.49	+5.8
/ 200 IP	—	RAW		34	34	200	844	220	120	28	100%	5.9	26.1%	14.2%	11.9%	3.3%	4.87	4.49	+1.0
Career	—	MLE		51	46	159	708	167	109	25	90%	3.1	23.7%	15.4%	8.3%	3.5%	5.39	4.99	+1.6
/ 200 IP	—	MLE		64	58	200	892	211	137	32	90%	3.1	23.7%	15.4%	8.3%	3.5%	5.39	4.99	+0.2

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Hyun-Seok Jang (OGILVIE)	—	—	5.57	25.3%	20.4%	3.0%	—	4.80	26.2%	11.0%	459	-0.77	—	—	—
Tanner McDougal R 2023 · 4.96 FIP	20	SP	4.96	19.7%	16.9%	2.5%	.285	4.86	21.2%	7.8%	249	-0.10	3.82	319	80
Luis Quiñones R 2021 · 4.82 FIP	24	SP	4.82	26.6%	21.5%	2.2%	.290	4.81	22.5%	9.1%	231	-0.01	3.75	326	80
Max Bain R 2021 · 5.21 FIP	23	SP	5.21	20.5%	15.2%	3.5%	.291	6.70	16.7%	-3.9%	81	+1.49	5.21	174	79
Hunter Parks R 2023 · 5.15 FIP	22	SP	5.15	18.9%	19.3%	2.2%	.265	5.04	20.3%	3.9%	136	-0.11	4.62	298	79
Jacob Watters R 2023 · 4.87 FIP	22	SP	4.87	18.3%	17.1%	2.1%	.319	4.38	17.0%	5.1%	81	-0.49	3.85	165	78
R.J. Freure R 2019 · 5.13 FIP	22	SP-	5.13	21.7%	18.5%	2.8%	.286	6.05	21.4%	4.2%	107	+0.92	5.13	196	78
J.P. Massey R 2023 · 4.95 FIP	23	SP	4.95	18.2%	16.0%	2.5%	.259	5.12	15.9%	0.6%	115	+0.17	4.72	195	77
Jack Leiter R 2022 · 5.05 FIP	22	SP	5.05	20.8%	14.5%	3.4%	.309	4.40	23.9%	12.8%	346	-0.65	3.90	519	76
Jared Lyons R 2023 · 4.47 FIP	22	SP-	4.47	20.1%	15.3%	2.1%	.345	4.24	18.1%	8.1%	206	-0.23	3.28	260	76
Aaron Hernandez R 2019 · 4.83 FIP	22	SP-	4.83	18.6%	15.7%	2.4%	.340	4.81	20.2%	6.4%	111	-0.02	4.65	194	76
CJ Van Eyk R 2021 · 4.79 FIP	22	SP	4.79	21.8%	12.7%	3.5%	.302	4.64	15.2%	5.3%	127	-0.15	4.17	438	75
Kyle Bradish R 2019 · 4.56 FIP	22	SP-	4.56	20.8%	13.7%	2.7%	.309	3.84	24.1%	14.7%	238	-0.72	2.20	750	75
Peyton Pallette R 2023 · 5.56 FIP	22	SP	5.56	18.0%	15.1%	3.8%	.254	4.00	23.2%	11.3%	197	-1.56	3.60	269	75
Kohl Franklin R 2022 · 5.24 FIP	22	SP	5.24	17.8%	14.6%	3.3%	.320	5.66	19.9%	7.9%	105	+0.42	4.68	198	75
Blade Tidwell R 2023 · 4.84 FIP	22	SP	4.84	24.5%	14.7%	3.5%	.284	4.40	19.9%	9.8%	353	-0.44	3.95	469	75
Michael YaSenka R 2021 · 5.98 FIP	23	SP	5.98	18.1%	15.0%	4.6%	.288	5.95	18.8%	6.1%	58	-0.03	5.95	154	74
TJ Shook R 2021 · 4.90 FIP	23	SP	4.90	21.7%	13.8%	3.4%	.311	4.98	20.7%	10.3%	296	+0.08	3.35	451	73
Bryce Conley R 2018 · 4.71 FIP	23	SP-	4.71	20.2%	12.2%	3.2%	.269	4.88	17.4%	3.3%	197	+0.17	4.22	560	73
Ben Peoples R 2023 · 4.42 FIP	22	SP	4.42	20.3%	14.2%	2.2%	.318	4.20	20.5%	9.1%	164	-0.22	3.56	362	73
Aaron Davenport R 2022 · 4.81 FIP	22	SP	4.81	20.0%	13.2%	3.2%	.280	4.95	16.7%	5.5%	391	+0.14	4.04	498	72

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	7.6	151	26.1%	14.7%	1.20	4.86
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Julio Teheran ('23)	5.2	147	20.4%	8.8%	1.34	4.12
Trevor Bauer ('21)	5.6	159	26.8%	8.7%	1.13	3.68
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Vince Velasquez ('23)	3.8	85	24.9%	9.3%	1.48	4.88
Jon Gray ('24)	6.1	122	23.4%	7.8%	1.15	4.45