Nien-Hsi Yang

P ACL Giants

Age 20 RHP 6'2" / 207 lbs ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKSF	4	2	5	5.40	1.10	36.4%	9.1%	—	K 36.4% · BB 9.1% · FIP 1.18
2026	19	ROKSF	5	4	13	3.38	3.33	24.1%	10.3%	—	K 16.4% · BB 12.9% · FIP 4.68
2027PROJ	20	MLBSF	1	1	8	4.68	4.68	22.1%	11.2%	0.0
2028PROJ49% MLB	21	MLBSF	2	2	10	4.56	4.50	22.6%	10.4%	0.0

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 3, comp-based) · star 3% · didn't stick 90%

CompsFraynel Nova (age 20) · Pedro Reyes (age 20) · Clarke Schmidt (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.68

FIP4.68

K%22.1%

BB%11.2%

K-BB%10.8%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 IP

Grades · Contract

Scouting Grades

K†5555

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 + 2027 so far)
2025	18	ROK MLE	ACL Giants	4	2	5	22	8	2	0	50%	1.2	36.4%	9.1%	27.3%	0.0%	5.40	1.18	—
2025	18	ROK MLE	ACL Giants	4	2	5	22	8	2	0	50%	1.2	36.4%	9.1%	27.3%	0.0%	5.40	1.18	—
2025	18	ROK RAW	ACL Giants	4	2	5	22	8	2	0	50%	1.2	36.4%	9.1%	27.3%	0.0%	5.40	1.10	—
2026	19	ROK MLE	ACL Giants	5	4	13	58	14	6	1	80%	2.7	16.4%	12.9%	3.5%	2.4%	3.38	4.68	—
2026	19	ROK MLE	ACL Giants	5	4	13	58	14	6	1	80%	2.7	16.4%	12.9%	3.5%	2.4%	3.38	4.68	—
2026	19	ROK RAW	ACL Giants	5	4	13	58	14	6	1	80%	2.7	24.1%	10.3%	13.8%	1.7%	3.38	3.33	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	SF	1	1	8	34	7	4	1	100%	8.0	22.1%	11.2%	10.8%	3.0%	4.68	4.68	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	SF	4	4	20	84	19	9	2	100%	5.0	22.6%	10.4%	12.2%	2.9%	4.56	4.50	+0.1
2028	21	MLB CTX	SF	2	2	10	42	10	4	1	100%	5.0	22.6%	10.4%	12.2%	2.9%	4.56	4.50	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	9	4	1	100%	4.9	22.6%	10.4%	12.2%	2.9%	4.56	4.12	+0.1
/ 200 IP	—	RAW		41	41	200	844	183	81	20	100%	4.8	22.6%	10.4%	12.2%	2.9%	4.56	4.12	+1.9
Career	—	MLE		9	6	18	80	18	10	1	67%	2.0	21.9%	11.9%	10.0%	1.7%	3.93	3.72	+0.1
/ 200 IP	—	MLE		98	65	200	873	191	104	15	67%	2.0	21.9%	11.9%	10.0%	1.7%	3.93	3.72	+0.9

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
Nien-Hsi Yang (OGILVIE)	—	—	4.68	22.1%	11.2%	3.0%	—	4.50	22.6%	12.2%	20	-0.18	—	—	—
Fraynel Nova R 2022 · 3.83 FIP	20	SP-	3.83	16.4%	7.9%	2.0%	.296	4.17	14.9%	4.9%	110	+0.34	3.38	129	79
Pedro Reyes R 2023 · 4.17 FIP	20	SP-	4.17	18.0%	9.2%	2.6%	.159	4.92	11.0%	0.5%	90	+0.75	2.87	180	78
Clarke Schmidt R 2018 · 3.53 FIP	22	SP	3.53	23.1%	8.5%	2.4%	.324	3.26	21.3%	13.1%	108	-0.27	2.77	537	78
Chad Donato R 2017 · 3.85 FIP	22	SP-	3.85	20.9%	11.4%	2.0%	.333	3.99	21.4%	12.6%	184	+0.14	2.89	439	77
Jared Ruxer R 2015 · 4.16 FIP	23	SP-	4.16	17.3%	10.6%	2.1%	.333	4.29	14.9%	7.5%	240	+0.13	3.39	270	77
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	77
Tahnaj Thomas R 2018 · 5.06 FIP	19	SP-	5.06	23.0%	15.6%	3.5%	.268	6.04	17.0%	2.7%	61	+0.98	3.81	214	76
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	76
Rayner Urbaez R 2023 · 3.88 FIP	20	SP	3.88	23.6%	11.4%	2.4%	.337	3.35	15.0%	3.0%	27	-0.53	2.55	103	76
Ryan Fernandez R 2018 · 4.44 FIP	20	SP-	4.44	19.2%	6.8%	3.8%	.357	3.37	20.8%	13.2%	53	-1.07	3.02	363	76
Gabe Bierman R 2021 · 4.80 FIP	21	SP-	4.80	21.3%	11.8%	3.6%	.277	4.51	16.2%	4.0%	187	-0.29	4.03	328	75
Nicholas Economos R 2015 · 4.95 FIP	20	SP-	4.95	15.3%	10.7%	3.3%	.233	5.28	10.4%	0.6%	57	+0.33	4.40	223	75
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	75
Zach Haake R 2018 · 4.13 FIP	21	SP	4.13	16.4%	8.6%	2.4%	.205	4.54	20.2%	6.8%	121	+0.41	3.44	272	75
Jonathan Stiever R 2018 · 4.39 FIP	21	SP	4.39	22.9%	9.7%	3.6%	.308	4.25	20.7%	14.2%	219	-0.14	4.23	247	75
Carson Fulmer R 2015 · 4.15 FIP	21	SP	4.15	21.4%	11.5%	2.5%	.259	4.96	17.1%	4.0%	364	+0.81	3.88	910	74
Joelvis Del Rosario R 2021 · 3.76 FIP	20	SP-	3.76	22.5%	8.0%	2.8%	.315	4.97	14.6%	6.0%	197	+1.21	3.13	286	74
Grant Holman R 2021 · 5.55 FIP	21	SP-	5.55	18.2%	7.7%	5.5%	.308	3.66	22.2%	14.1%	133	-1.89	3.02	203	74
Miguel Alfonseca R 2021 · 4.19 FIP	21	SP-	4.19	18.3%	12.1%	2.0%	.400	5.36	14.9%	-0.9%	92	+1.17	4.19	123	74
Gilberto Batista R 2024 · 4.00 FIP	19	SP-	4.00	16.9%	11.4%	1.6%	.308	5.86	14.7%	4.9%	172	+1.86	3.63	250	74