Nate Garkow

P New Hampshire Fisher Cats

Age 29 RHP 5'11" / 190 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	15	24	1.88	2.18	36.6%	11.8%	—	K 27.1% · BB 14.4% · FIP 3.50
2025	27	MIX2 levels	39	54	3.19	2.24	38.7%	13.1%	—	K 30.8% · BB 14.7% · FIP 3.42
2026	28	MIX2 levels	18	20	3.60	4.10	24.2%	18.7%	—	K 19.2% · BB 19.2% · FIP 4.74
2027PROJ	29	MLBTOR	16	17	4.77	4.77	25.2%	15.1%	-0.0
2028PROJ31% MLB	30	MLBTOR	6	6	4.83	4.90	24.6%	14.8%	-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 0, comp-based) · star 0% · didn't stick 100%

CompsJason Bulger (age 29) · Jim Miller (age 30) · Jose Veras (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.77

FIP4.77

K%25.2%

BB%15.1%

K-BB%10.1%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

K†6060

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	26	MIX MLE	2 levels	15	0	24	93	34	11	1	0%	1.6	27.1%	14.4%	12.7%	1.6%	1.88	3.50	—
2024	26	MIX MLE	2 levels	15	0	24	93	34	11	1	0%	1.6	27.1%	14.4%	12.7%	1.6%	1.88	3.50	—
2024	26	MIX RAW	2 levels	15	0	24	93	34	11	1	0%	1.6	36.6%	11.8%	24.7%	1.1%	1.88	2.18	—
2025	27	MIX MLE	2 levels	39	0	54	222	86	29	3	0%	1.4	30.8%	14.7%	16.1%	1.9%	3.19	3.42	—
2025	27	MIX MLE	2 levels	39	0	54	222	86	29	3	0%	1.4	30.8%	14.7%	16.1%	1.9%	3.19	3.42	—
2025	27	MIX RAW	2 levels	39	0	54	222	86	29	3	0%	1.4	38.7%	13.1%	25.7%	1.4%	3.19	2.24	—
2026	28	MIX MLE	2 levels	18	0	20	91	22	17	1	0%	1.1	19.2%	19.2%	-0.0%	1.5%	3.60	4.74	—
2026	28	MIX MLE	2 levels	18	0	20	91	22	17	1	0%	1.1	19.2%	19.2%	-0.0%	1.5%	3.60	4.74	—
2026	28	MIX RAW	2 levels	18	0	20	91	22	17	1	0%	1.1	24.2%	18.7%	5.5%	1.1%	3.60	4.10	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	TOR	16	0	17	72	18	11	2	0%	1.1	25.2%	15.1%	10.1%	2.7%	4.77	4.77	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	TOR	19	0	20	84	21	12	3	0%	1.1	24.6%	14.8%	9.8%	3.0%	4.83	4.90	-0.1
2028	30	MLB CTX	TOR	6	0	6	25	6	4	1	0%	1.0	24.6%	14.8%	9.8%	3.0%	4.83	4.90	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	7	4	1	0%	1.0	24.6%	14.8%	9.8%	3.0%	4.83	4.52	+0.0
/ 200 IP	—	RAW		190	0	200	844	224	128	32	0%	1.1	24.6%	14.8%	9.8%	3.0%	4.83	4.52	+0.1
Career	—	MLE		72	0	98	406	111	64	7	0%	1.4	27.4%	15.6%	11.7%	1.8%	2.95	3.73	-0.1
/ 200 IP	—	MLE		147	0	200	831	227	130	15	0%	1.4	27.4%	15.6%	11.7%	1.8%	2.95	3.73	-0.8

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
Nate Garkow (OGILVIE)	—	—	4.77	25.2%	15.1%	2.7%	—	4.90	24.6%	9.8%	20	+0.13	—	—	—
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	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	80
Jose Veras R 2010 · 4.10 FIP	29	SU	4.10	26.9%	14.4%	2.6%	.239	3.42	25.3%	14.8%	201	-0.68	3.37	422	80
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	79
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	79
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	78
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	77
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	76
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	76
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	75
Jeff Johnson R 2017 · 3.69 FIP	27	SU	3.69	23.6%	15.6%	1.1%	.297	—	—	—	—	—	2.49	160	75
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	75
Dan Winkler R 2019 · 4.99 FIP	29	SU	4.99	20.6%	15.2%	3.1%	.237	4.44	23.0%	8.4%	104	-0.55	2.40	231	75
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	74
Manny Acosta R 2010 · 3.61 FIP	29	SU	3.61	26.8%	10.8%	2.5%	.277	4.12	21.9%	12.6%	94	+0.51	3.08	350	73
Kevin Lenik R 2019 · 4.91 FIP	27	SU	4.91	21.7%	14.9%	3.2%	.205	—	—	—	—	—	3.00	107	73
Leonel Campos R 2016 · 3.58 FIP	29	SU	3.58	24.9%	13.8%	1.5%	.328	3.70	25.7%	13.9%	46	+0.12	2.62	168	73
Grant Balfour R 2007 · 4.01 FIP	29	SU	4.01	24.8%	16.5%	1.7%	.406	2.81	28.4%	18.8%	181	-1.20	2.04	533	73
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	72
Art Warren R 2022 · 4.51 FIP	29	SU	4.51	24.2%	12.7%	3.4%	.316	6.77	18.2%	3.7%	27	+2.26	1.40	322	72