Blake Goldsberry

P Albuquerque Isotopes

Age 30 RHP 6'4" / 220 lbs AAA

Overview

AAAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	25	MIX4 levels	32	0	41	2.43	2.95	30.4%	5.6%	—	K 23.6% · BB 8.3% · FIP 3.43
2023	26	AACOL	33	2	44	3.86	4.32	29.1%	10.6%	—	K 23.6% · BB 11.6% · FIP 5.26
2024	27	MIX2 levels	19	1	20	6.20	4.58	16.3%	12.2%	—	K 9.2% · BB 16.1% · FIP 5.34
2027PROJ	30	MLBCOL	6	0	6	4.69	4.69	20.5%	10.3%	-0.0
2028PROJ31% MLB	31	MLBCOL	6	0	6	4.78	4.86	20.3%	10.6%	-0.0

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

Contract

No contract data on file.

CompsWirfin Obispo (age 30) · Joe Nelson (age 31) · Neil Wagner (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.69

FIP4.69

K%20.5%

BB%10.3%

K-BB%10.1%

Proj IP6

Value2027 · WAR

Runs saved vs league avg · 6 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)
2021	24	A MLE	Fresno Grizzlies	23	2	32	131	29	9	3	9%	1.4	16.4%	8.1%	8.3%	2.4%	3.06	4.09	—
2021	24	A RAW	Fresno Grizzlies	23	2	32	131	29	9	3	9%	1.4	22.1%	6.9%	15.3%	2.3%	3.06	3.35	—
2022	25	MIX MLE	4 levels	32	0	41	161	49	9	5	0%	1.3	23.6%	8.3%	15.3%	2.3%	2.43	3.43	—
2022	25	MIX RAW	4 levels	32	0	41	161	49	9	5	0%	1.3	30.4%	5.6%	24.8%	3.1%	2.43	2.95	—
2023	26	AA MLE	Hartford Yard Goats	33	2	44	189	55	20	8	6%	1.3	23.6%	11.6%	11.9%	4.9%	3.86	5.26	—
2023	26	AA RAW	Hartford Yard Goats	33	2	44	189	55	20	8	6%	1.3	29.1%	10.6%	18.5%	4.2%	3.86	4.32	—
2024	27	MIX MLE	2 levels	19	1	20	98	16	12	2	5%	1.1	9.2%	16.1%	-6.9%	1.8%	6.20	5.34	—
2024	27	MIX MLE	2 levels	19	1	20	98	16	12	2	5%	1.1	9.2%	16.1%	-6.9%	1.8%	6.20	5.34	—
2024	27	MIX RAW	2 levels	19	1	20	98	16	12	2	5%	1.1	16.3%	12.2%	4.1%	2.0%	6.20	4.58	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	COL	6	0	6	25	5	3	1	0%	1.0	20.5%	10.3%	10.1%	3.0%	4.69	4.69	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	COL	19	0	20	84	17	9	3	0%	1.1	20.3%	10.6%	9.8%	3.2%	4.78	4.86	-0.1
2028	31	MLB CTX	COL	6	0	6	25	5	3	1	0%	1.0	20.3%	10.6%	9.8%	3.2%	4.78	4.86	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	5	3	1	0%	1.0	20.3%	10.6%	9.8%	3.2%	4.78	4.48	+0.0
/ 200 IP	—	RAW		190	0	200	844	160	96	32	0%	1.1	20.3%	10.6%	9.8%	3.2%	4.78	4.48	+0.2
Career	—	MLE		107	5	138	579	113	62	18	5%	1.3	19.5%	10.7%	8.8%	3.1%	3.60	4.50	-0.1
/ 200 IP	—	MLE		155	7	200	841	164	90	26	5%	1.3	19.5%	10.7%	8.8%	3.1%	3.60	4.50	-0.7

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
Blake Goldsberry (OGILVIE)	—	—	4.69	20.5%	10.3%	3.0%	—	4.86	20.3%	9.8%	20	+0.17	—	—	—
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	86
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	84
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	83
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	83
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	82
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	81
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	78
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	77
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	76
Jose Manuel Lopez R 2015 · 5.21 FIP	30	SU	5.21	18.6%	7.6%	4.9%	.373	3.56	18.5%	9.3%	93	-1.65	3.50	170	76
Carlos Fisher R 2011 · 4.33 FIP	28	SU	4.33	15.5%	9.1%	2.5%	.275	—	—	—	—	—	2.48	245	75
Adrian Garza R 2017 · 4.47 FIP	29	SU	4.47	16.0%	7.0%	3.4%	.351	5.18	9.7%	4.1%	113	+0.71	3.94	229	75
Jason Urquidez R 2015 · 3.59 FIP	32	SU	3.59	15.6%	9.3%	1.1%	.386	1.81	25.5%	20.7%	90	-1.78	1.25	123	74
Greg Burke R 2013 · 3.70 FIP	30	SU	3.70	17.9%	8.3%	1.9%	.357	3.61	22.1%	14.8%	62	-0.09	3.61	139	74
Mike Broadway R 2017 · 4.73 FIP	30	SU	4.73	18.3%	10.2%	3.4%	.245	4.65	23.0%	12.4%	49	-0.08	1.74	195	74
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	74
Scott Dohmann R 2008 · 4.38 FIP	30	SU	4.38	18.2%	9.1%	3.0%	.348	—	—	—	—	—	4.28	173	74
Jeremy Fikac R 2004 · 4.91 FIP	29	SU	4.91	19.6%	8.0%	4.5%	.276	—	—	—	—	—	3.10	136	74
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	73
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	73