Woo-Suk Go — OGILVIE

Woo-Suk Go P St. Paul Saints

Age 27 RHP 5'11" / 198 lbs AAA

2026 ROS PROJECTION55 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 126118vR 110

ERA4.88

FIP4.88

K%18.8%

BB%9.0%

K-BB%9.7%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

K†4545

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 + 2026 so far)
2024	25	MIX MLE	2 levels	44	0	52	248	52	21	8	0%	1.2	17.1%	8.8%	8.3%	3.7%	6.54	4.81	—
2024	25	MIX MLE	2 levels	44	0	52	248	52	21	8	0%	1.2	17.1%	8.8%	8.3%	3.7%	6.54	4.81	—
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	19.3%	9.3%	10.0%	4.4%	4.46	5.04	—
2025	26	MIX MLE	4 levels	32	3	42	188	37	25	5	9%	1.3	19.3%	9.3%	10.0%	4.4%	4.46	5.04	—
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	—
▸ 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
▸ 2026 season
YTD	27	MLB MLE	Minnesota Twins	39	1	55	228	68	26	5	3%	1.4	21.7%	12.6%	9.1%	1.4%	4.28	3.64	—
YTD	27	MLB MLE	Minnesota Twins	39	1	55	228	68	26	5	3%	1.4	21.7%	12.6%	9.1%	1.4%	4.28	3.64	—
▸ 2026 season — so far · projected rest · full
2026	27	AA RAW	MIN	8	0	14	49	22	2	1	0%	1.7	44.9%	4.1%	40.8%	2.0%	0.66	0.95	—
2026	27	AAA RAW	MIN	27	1	37	157	41	22	2	4%	1.4	26.1%	14.0%	12.1%	1.3%	5.11	3.37	—
2026	27	MLB RAW	MIN	4	0	4	22	5	2	2	0%	1.0	22.7%	9.1%	13.6%	9.1%	9.00	7.32	—
SO FAR	27	MLB RAW	MIN	4	0	4	22	5	2	2	0%	1.0	22.7%	9.1%	13.6%	9.1%	9.00	7.32	—
ROS	27	MLB MLE	MIN	2	0	2	8	2	1	0	0%	1.0	18.8%	9.0%	9.7%	3.4%	4.88	4.88	-0.0
ROS	27	MLB CTX	MIN	2	0	2	8	2	1	0	0%	1.0	18.8%	9.0%	9.7%	3.4%	4.88	4.88	-0.0
2026 TOT	27	MLB MLE	MIN	—	—	57	236	70	27	5	—	—	29.4%	11.3%	18.1%	2.2%	4.30	3.68	+0.6
FULL	27	MLB A+C	MIN	—	—	6	25	70	27	5	—	—	278.8%	107.2%	171.6%	21.1%	41.20	4.74	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	28	MLB MLE	MIN	19	0	20	86	17	8	3	0%	1.1	19.3%	9.2%	10.1%	3.6%	4.98	5.01	-0.1
2027	28	MLB CTX	MIN	18	0	19	80	16	7	3	0%	1.1	19.3%	9.2%	10.1%	3.6%	4.98	5.01	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		24	0	25	112	22	10	5	0%	1.1	20.0%	9.2%	10.8%	4.7%	5.61	5.15	-0.2
/ 200 IP	—	RAW		192	0	200	885	174	79	40	0%	1.0	20.0%	9.2%	10.8%	4.7%	5.61	5.15	-1.4
Career	—	MLE		115	4	149	664	128	68	21	3%	1.3	19.3%	10.2%	9.1%	3.1%	5.12	4.47	-0.3
/ 200 IP	—	MLE		154	5	200	889	172	91	28	3%	1.3	19.3%	10.2%	9.1%	3.1%	5.12	4.47	-2.3

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)	—	—	4.88	18.8%	9.0%	3.4%	—	5.01	19.3%	10.1%	20	+0.13	—	—	—
Rob Scahill R 2015 · 3.91 FIP	28	SU	3.91	16.9%	7.7%	2.3%	.288	3.34	17.9%	10.1%	171	-0.57	3.06	201	88
Michael Dimock R 2017 · 4.12 FIP	27	SU	4.12	18.9%	7.8%	2.9%	.339	3.37	23.5%	12.8%	29	-0.75	3.08	166	87
Ryan Cook R 2015 · 4.73 FIP	28	SU	4.73	16.5%	9.9%	3.2%	.297	3.96	25.1%	14.3%	50	-0.77	3.96	102	86
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.55	17.5%	6.5%	168	+0.67	3.88	202	84
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	83
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	83
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	82
Ryan Doolittle R 2015 · 4.03 FIP	27	SU	4.03	15.1%	6.7%	2.5%	.315	4.38	13.9%	6.8%	44	+0.35	4.03	101	82
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	82
Tanner Scheppers R 2015 · 4.37 FIP	28	SU	4.37	17.7%	11.2%	2.5%	.263	4.86	15.7%	9.0%	48	+0.49	4.37	101	82
Aaron Kurcz R 2017 · 4.84 FIP	26	SU	4.84	15.4%	8.4%	3.6%	.301	3.97	26.2%	21.8%	50	-0.87	3.31	213	82
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	81
Adrian Garza R 2015 · 5.47 FIP	27	SU	5.47	14.9%	10.5%	4.2%	.360	4.17	13.1%	6.5%	84	-1.30	3.94	229	81
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	81
Jonathan Hughes R 2023 · 4.31 FIP	26	SU	4.31	17.1%	9.2%	2.7%	.283	3.54	17.1%	4.9%	50	-0.77	3.44	219	81
Guido Knudson R 2016 · 4.69 FIP	26	SU	4.69	17.5%	10.8%	3.1%	.235	—	—	—	—	—	3.50	106	81
Andrew Robinson R 2015 · 3.77 FIP	27	SU	3.77	17.6%	6.3%	2.5%	.246	3.64	22.7%	14.4%	97	-0.13	3.19	160	80
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	80
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.86	18.0%	10.2%	272	-1.00	3.52	390	80
Michael Blazek R 2016 · 4.92 FIP	27	SU	4.92	17.9%	11.9%	3.3%	.336	4.43	17.5%	8.0%	124	-0.49	2.99	221	80