Chung-Hsiang Huang

P Visalia Rawhide

Age 21 RHP 6'0" / 175 lbs A Svc 0.0 · Ctrl thru 2033 peak 0.8 · 2029

Overview

APROSPECTMiLBFA 2034

OGV OFP35OGV rank#821ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	MIX2 levels	16	15	68	3.56	2.24	28.7%	5.5%	—	K 20.3% · BB 6.8% · FIP 3.30
2026	20	AARI	17	14	68	6.35	4.10	17.9%	6.7%	—	K 13.2% · BB 7.9% · FIP 5.04
2027PROJ	21	MLBARI	—	—	0	4.69	4.69	15.7%	6.8%	—
2028PROJ35% MLB	22	MLBARI	4	4	20	4.43	4.33	18.2%	6.7%	0.2
2029PROJ57% MLB	23	MLBARI	6	6	32	4.27	4.16	19.8%	6.5%	0.4

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$2M2032Arb-2$3M2033Arb-3$4M

Career WAR0.0 WAR median (P10 -0.2 / P90 3.4, comp-based) · star 3% · didn't stick 89%

CompsJack Perkins (age 21) · Lucas Long (age 22) · Geoffrey Bramblett (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.69

FIP4.69

K%15.7%

BB%6.8%

K-BB%8.9%

Proj IP48

Value2027 · WAR

Runs saved vs league avg · 48 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$14M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2031	Arb-1	$2M	+0.6	$2M	+$0.6M
2032	Arb-2	$3M	+0.7	$2M	+$0.1M
2033	Arb-3	$4M	+0.7	$2M	+$0.0M (cut)
Totals		$7M		$9M	+$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 the standard WAR scale.

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 + 2027 so far)
2025	19	MIX MLE	2 levels	16	15	68	272	78	15	4	94%	4.3	20.3%	6.8%	13.6%	1.9%	3.56	3.30	—
2025	19	MIX MLE	2 levels	16	15	68	272	78	15	4	94%	4.3	20.3%	6.8%	13.6%	1.9%	3.56	3.30	—
2025	19	MIX RAW	2 levels	16	15	68	272	78	15	4	94%	4.3	28.7%	5.5%	23.2%	1.5%	3.56	2.24	—
2026	20	A MLE	Visalia Rawhide	17	14	68	313	56	21	9	82%	4.0	13.2%	7.9%	5.3%	3.7%	6.35	5.04	—
2026	20	A MLE	Visalia Rawhide	17	14	68	313	56	21	9	82%	4.0	13.2%	7.9%	5.3%	3.7%	6.35	5.04	—
2026	20	A RAW	Visalia Rawhide	17	14	68	313	56	21	9	82%	4.0	17.9%	6.7%	11.2%	2.9%	6.35	4.10	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	ARI	—	—	0	—	—	—	—	—	—	15.7%	6.8%	8.9%	3.0%	4.69	4.69	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	ARI	11	11	56	237	43	16	7	100%	5.1	18.2%	6.7%	11.6%	3.0%	4.52	4.42	+0.6
2029	23	MLB MLE	ARI	11	11	56	237	47	16	7	100%	5.1	19.8%	6.5%	13.2%	2.9%	4.36	4.25	+0.8
2030	24	MLB MLE	ARI	10	10	56	237	49	15	7	100%	5.6	20.7%	6.5%	14.2%	2.9%	4.24	4.15	+0.8
2031	25	MLB MLE	ARI	9	9	53	225	48	14	7	100%	5.9	21.2%	6.4%	14.8%	2.9%	4.15	4.09	+0.8
2032	26	MLB MLE	ARI	9	9	54	226	48	14	7	100%	6.0	21.4%	6.3%	15.0%	2.9%	4.10	4.07	+0.8
2033	27	MLB MLE	ARI	9	9	52	221	47	14	7	100%	5.8	21.4%	6.4%	14.9%	2.9%	4.11	4.11	+0.8
2034	28	MLB MLE	ARI	8	8	50	210	45	14	6	100%	6.2	21.2%	6.6%	14.7%	3.0%	4.16	4.19	+0.7
2035	29	MLB MLE	ARI	8	8	46	194	41	13	6	100%	5.8	21.0%	6.8%	14.2%	3.2%	4.26	4.32	+0.6
2028	22	MLB CTX	ARI	4	4	20	84	15	6	2	100%	5.0	18.2%	6.7%	11.6%	2.8%	4.43	4.33	+0.2
2029	23	MLB CTX	ARI	6	6	32	135	27	9	4	100%	5.3	19.8%	6.5%	13.2%	2.8%	4.27	4.16	+0.4
2030	24	MLB CTX	ARI	7	7	39	165	34	11	5	100%	5.6	20.7%	6.5%	14.2%	2.8%	4.15	4.06	+0.6
2031	25	MLB CTX	ARI	7	7	41	173	37	11	5	100%	5.9	21.2%	6.4%	14.8%	2.7%	4.06	4.00	+0.6
2032	26	MLB CTX	ARI	8	8	45	190	41	12	5	100%	5.6	21.4%	6.3%	15.0%	2.7%	4.01	3.98	+0.7
2033	27	MLB CTX	ARI	8	8	45	190	41	12	5	100%	5.6	21.4%	6.4%	14.9%	2.8%	4.02	4.02	+0.7
2034	28	MLB CTX	ARI	7	7	44	186	39	12	5	100%	6.3	21.2%	6.6%	14.7%	2.9%	4.07	4.10	+0.6
2035	29	MLB CTX	ARI	7	7	41	173	36	12	5	100%	5.9	21.0%	6.8%	14.2%	3.0%	4.16	4.22	+0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		53	53	307	1297	270	84	37	100%	5.8	20.8%	6.5%	14.3%	2.8%	4.12	3.71	+6.3
/ 200 IP	—	RAW		35	35	200	844	176	55	24	100%	5.8	20.8%	6.5%	14.3%	2.8%	4.12	3.71	+4.1
Career	—	MLE		33	29	136	585	97	43	17	88%	4.1	16.5%	7.4%	9.2%	2.9%	4.95	4.23	+6.0
/ 200 IP	—	MLE		48	43	200	858	142	63	25	88%	4.1	16.5%	7.4%	9.2%	2.9%	4.95	4.23	+2.8

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 AVisalia Rawhide · 68 IPFIP 4.02 → 5.04 (+1.02)K% 17.9% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.89%	—	×0.740	13.24%
BB% (unintentional) /BF	6.71%	—	×1.180	7.92%
HR / BF /BF	2.88%	÷1.000	×1.300	3.74%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.02 → 5.04, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AVisalia Rawhide · 36 IPFIP 2.02 → 2.72 (+0.70)K% 27.7% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.74%	—	×0.740	20.53%
BB% (unintentional) /BF	3.65%	—	×1.180	4.31%
HR / BF /BF	1.46%	÷1.283	×1.300	1.48%

Result: FIP 2.02 → 2.72, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 ROKACL D-backs · 33 IPFIP 2.35 → 3.89 (+1.54)K% 29.6% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.63%	—	×0.680	20.15%
BB% (unintentional) /BF	7.41%	—	×1.250	9.26%
HR / BF /BF	1.48%	÷0.862	×1.400	2.41%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 72).

Result: FIP 2.35 → 3.89, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Chung-Hsiang Huang (OGILVIE)	—	—	—	—	—	3.0%	—	4.27	19.5%	13.0%	169	-0.42	—	—	—
Jack Perkins R 2019 · 4.34 FIP	21	SP-	4.34	13.6%	5.4%	3.1%	.312	4.91	16.4%	7.5%	156	+0.57	4.34	176	88
Lucas Long R 2015 · 4.84 FIP	22	SP-	4.84	14.5%	5.9%	4.0%	.300	3.94	15.0%	9.1%	386	-0.90	3.42	441	86
Geoffrey Bramblett R 2016 · 3.75 FIP	21	SP	3.75	15.1%	5.8%	2.2%	.223	5.35	11.3%	1.5%	81	+1.60	3.75	130	86
Hansel Paulino R 2017 · 4.38 FIP	21	SP-	4.38	15.8%	7.5%	3.0%	.302	4.45	18.5%	10.7%	18	+0.07	2.98	156	86
Rafael Soriano R 2002 · 4.88 FIP	22	SP-	4.88	15.8%	7.4%	4.0%	.252	1.48	33.8%	28.3%	53	-3.40	1.48	620	86
Logan Gragg R 2019 · 4.14 FIP	20	SP	4.14	17.4%	9.5%	2.4%	.343	5.20	15.2%	8.2%	202	+1.06	4.14	412	85
Matt Eckelman R 2016 · 4.30 FIP	22	SP	4.30	15.6%	4.7%	3.5%	.265	4.44	16.3%	5.4%	169	+0.14	4.07	386	85
Jose Vasquez R 2016 · 4.11 FIP	20	SP	4.11	13.5%	6.0%	2.5%	.287	4.68	15.2%	1.6%	68	+0.57	3.60	162	84
Andrew Cabezas R 2018 · 4.59 FIP	21	SP-	4.59	16.1%	9.4%	3.0%	.210	4.70	16.7%	6.9%	185	+0.11	4.16	300	84
Drew McDaniel R 2023 · 4.71 FIP	22	SP	4.71	14.1%	9.1%	3.0%	.323	5.08	18.7%	8.7%	152	+0.37	4.24	230	84
Pedro Barrios R 2018 · 4.31 FIP	19	SP	4.31	14.7%	6.7%	2.9%	.292	—	—	—	—	—	3.83	159	84
Jesus Lugo R 2019 · 3.79 FIP	21	SP-	3.79	17.8%	8.1%	2.1%	.243	6.08	19.8%	10.5%	45	+2.29	3.79	113	84
Jared Karros R 2023 · 4.77 FIP	22	SP	4.77	19.0%	8.9%	3.9%	.290	5.26	17.8%	8.3%	120	+0.49	3.36	191	84
Jarrod Cande R 2022 · 4.31 FIP	22	SP-	4.31	19.1%	7.3%	3.5%	.330	4.94	18.1%	9.1%	212	+0.63	4.31	315	83
José López R 2015 · 4.04 FIP	21	SP	4.04	19.1%	9.9%	2.3%	.329	3.77	17.9%	9.9%	436	-0.27	3.12	543	83
Kevin Folman R 2018 · 4.54 FIP	23	SP	4.54	13.2%	5.9%	3.3%	.312	5.37	16.0%	6.4%	122	+0.83	4.54	161	83
Ubert Mejias R 2023 · 3.74 FIP	22	SP-	3.74	14.2%	7.9%	1.5%	.326	4.43	14.0%	8.0%	264	+0.69	3.74	326	83
Sergio Mitre R 2004 · 4.16 FIP	23	SP-	4.16	15.2%	7.8%	2.5%	.357	4.16	13.2%	6.5%	250	+0.00	3.55	602	83
Ryan Mason R 2016 · 4.66 FIP	21	SP-	4.66	10.4%	4.8%	3.3%	.321	2.93	17.5%	12.5%	142	-1.73	1.66	245	83
Carlos Felix R 2017 · 5.21 FIP	21	SP	5.21	12.9%	6.7%	4.3%	.374	4.92	8.7%	2.4%	64	-0.29	4.92	121	83

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.4	52	20.1%	6.6%	1.15	4.29
Junichi Tazawa ('18)	2.0	49	22.2%	6.5%	1.12	4.12
Nick Wittgren ('23)	1.6	41	21.6%	7.0%	1.15	4.04
Dan Wheeler ('12)	3.2	58	20.7%	7.2%	1.25	3.98
Bob Patterson ('85-'98, 4 WAR*)	3.1	51	23.0%*	6.7%*	1.32*	4.33*
Tony Castillo ('88-'98, 4 WAR*)	2.6	59	18.5%*	7.3%*	0.98*	3.76*
Cris Carpenter ('88-'96, 2 WAR*)	2.1	69	18.3%*	7.4%*	1.15*	4.29*