Woo-Suk Go

P St. Paul Saints

Age 28 RHP 5'11" / 198 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX2 levels	44	0	52	6.54	4.30	21.0%	8.5%	—	K 17.3% · BB 8.8% · FIP 4.80
2025	26	MIX4 levels	32	3	42	4.46	4.66	19.7%	13.3%	—	K 20.0% · BB 9.3% · FIP 4.98
2026	27	MIX3 levels	39	1	55	4.28	3.23	29.8%	11.4%	0.9	K 22.5% · BB 12.6% · FIP 3.57
2027PROJ	28	MLBMIN	20	0	21	4.60	4.60	21.4%	10.9%	-0.0
2028PROJ37% MLB	29	MLBMIN	7	0	7	4.65	4.70	21.4%	11.0%	-0.0

Last 3 seasons WAR 0.9 · Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 96%

CompsWirfin Obispo (age 30) · Joe Colón J (age 27) · Neil Wagner (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121112vR 104

ERA4.60

FIP4.60

K%21.4%

BB%10.9%

K-BB%10.5%

Proj IP21

Value2027 · WAR

Runs saved vs league avg · 21 IP

Grades · Contract

Scouting Grades

K†5050

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)
2024	25	MIX MLE	2 levels	44	0	52	248	52	21	8	0%	1.2	17.3%	8.8%	8.5%	3.7%	6.54	4.80	—
2024	25	MIX MLE	2 levels	44	0	52	248	52	21	8	0%	1.2	17.3%	8.8%	8.5%	3.7%	6.54	4.80	—
2024	25	MIX RAW	2 levels	44	0	52	248	52	21	8	0%	1.2	21.0%	8.5%	12.5%	3.2%	6.54	4.30	—
2025	26	MIX MLE	4 levels	32	3	42	188	37	25	5	9%	1.3	20.0%	9.3%	10.7%	4.4%	4.46	4.98	—
2025	26	MIX MLE	4 levels	32	3	42	188	37	25	5	9%	1.3	20.0%	9.3%	10.7%	4.4%	4.46	4.98	—
2025	26	MIX RAW	4 levels	32	3	42	188	37	25	5	9%	1.3	19.7%	13.3%	6.4%	2.7%	4.46	4.66	—
2026	27	MIX MLE	3 levels	39	1	55	228	68	26	5	3%	1.4	22.5%	12.6%	9.8%	1.4%	4.28	3.57	+0.6
2026	27	MIX MLE	3 levels	39	1	55	228	68	26	5	3%	1.4	22.5%	12.6%	9.8%	1.4%	4.28	3.57	+0.6
2026	27	MIX RAW	3 levels	39	1	55	228	68	26	5	3%	1.4	29.8%	11.4%	18.4%	2.2%	4.28	3.23	+0.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			4	0	4	22	5	2	2	0%	1.0	22.7%	9.1%	13.6%	9.1%	9.00	8.60	-0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	MIN	20	0	21	89	19	10	2	0%	1.1	21.4%	10.9%	10.5%	2.8%	4.60	4.60	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	MIN	19	0	20	84	18	9	3	0%	1.1	21.4%	11.0%	10.4%	3.0%	4.65	4.70	-0.0
2028	29	MLB CTX	MIN	7	0	7	30	6	3	1	0%	1.0	21.4%	11.0%	10.4%	3.0%	4.65	4.70	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	11	53	12	5	3	0%	1.0	21.9%	10.2%	11.7%	5.5%	6.18	5.57	-0.1
/ 200 IP	—	RAW		194	0	200	934	211	88	53	0%	1.0	21.9%	10.2%	11.7%	5.5%	6.18	5.57	-2.4
Career	—	MLE		115	4	149	664	132	68	21	3%	1.3	19.8%	10.2%	9.6%	3.1%	5.12	4.43	-0.2
/ 200 IP	—	MLE		154	5	200	889	176	91	28	3%	1.3	19.8%	10.2%	9.6%	3.1%	5.12	4.43	-1.9

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
Woo-Suk Go (OGILVIE)	—	—	4.60	21.4%	10.9%	2.8%	—	4.70	21.4%	10.4%	20	+0.10	—	—	—
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	83
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	82
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	82
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	82
Josh Lueke R 2013 · 4.09 FIP	28	SU	4.09	25.3%	11.1%	3.1%	.333	3.28	24.6%	20.9%	90	-0.81	2.29	191	82
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	81
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	81
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	81
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	81
Jeff Fulchino R 2008 · 4.62 FIP	28	SU	4.62	16.7%	11.1%	2.8%	.380	3.86	21.0%	12.4%	164	-0.76	3.36	178	81
Jason Boyd R 2000 · 3.68 FIP	27	SU	3.68	19.9%	12.4%	1.2%	.346	4.86	13.9%	2.8%	81	+1.18	3.68	128	81
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	81
Tyler Yates R 2006 · 4.17 FIP	28	SU	4.17	21.2%	10.6%	2.8%	.254	3.70	20.7%	11.1%	151	-0.47	3.23	248	80
Arcenio Leon R 2015 · 4.73 FIP	28	SU	4.73	17.9%	12.5%	2.9%	.450	3.37	18.0%	9.1%	85	-1.36	3.00	115	80
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	79
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	79
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	79
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	79
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	79
Josh Roenicke R 2011 · 3.44 FIP	28	SU	3.44	17.6%	8.8%	1.3%	.265	4.35	14.9%	4.2%	151	+0.91	3.25	500	79