Nash Walters

P Rochester Red Wings

Age 30 RHP 6'5" / 210 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	25	MIX3 levels	52	0	54	4.67	2.77	29.8%	8.1%	1.2	K 26.7% · BB 8.2% · FIP 2.86
2023	26	MIX2 levels	37	1	41	8.49	5.01	29.7%	13.3%	—	K 26.8% · BB 14.3% · FIP 4.56
2024	27	MIX3 levels	26	0	33	2.43	3.46	22.6%	8.3%	—	K 16.5% · BB 8.8% · FIP 4.35
2027PROJ	30	MLBWSH	16	0	17	4.51	4.51	21.0%	9.1%	0.0
2028PROJ31% MLB	31	MLBWSH	6	0	6	4.61	4.69	20.9%	9.4%	-0.0

Last 3 seasons WAR 1.2 · Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsNeil Wagner (age 29) · Joe Nelson (age 31) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.51

FIP4.51

K%21.0%

BB%9.1%

K-BB%12.0%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 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)
2015	18	ROK MLE	AZL Brewers	11	6	22	103	15	20	0	55%	2.0	9.9%	24.3%	-14.4%	0.0%	4.15	5.34	—
2015	18	ROK RAW	AZL Brewers	11	6	22	103	15	20	0	55%	2.0	14.6%	19.4%	-4.9%	0.0%	4.15	4.48	—
2016	19	ROK MLE	Helena Brewers	14	9	39	190	48	45	2	64%	2.8	17.2%	29.6%	-12.4%	1.5%	5.35	6.21	—
2016	19	ROK RAW	Helena Brewers	14	9	39	190	48	45	2	64%	2.8	25.3%	23.7%	1.6%	1.1%	5.35	4.78	—
2021	24	A+ MLE	Wisconsin Timber Rattlers	43	0	60	274	82	29	7	0%	1.4	23.0%	12.2%	10.9%	2.8%	4.33	4.21	—
2021	24	A+ RAW	Wisconsin Timber Rattlers	43	0	60	274	82	29	7	0%	1.4	29.9%	10.6%	19.3%	2.6%	4.33	3.33	—
2022	25	MIX MLE	3 levels	52	0	54	235	70	19	5	0%	1.0	26.7%	8.2%	18.5%	1.8%	4.67	2.86	+1.1
2022	25	MIX RAW	3 levels	52	0	54	235	70	19	5	0%	1.0	29.8%	8.1%	21.7%	2.1%	4.67	2.77	+1.2
2023	26	MIX MLE	2 levels	37	1	41	195	58	26	9	3%	1.1	26.8%	14.3%	12.5%	3.5%	8.49	4.56	—
2023	26	MIX RAW	2 levels	37	1	41	195	58	26	9	3%	1.1	29.7%	13.3%	16.4%	4.6%	8.49	5.01	—
2024	27	MIX MLE	3 levels	26	0	33	133	30	11	3	0%	1.3	16.5%	8.8%	7.6%	2.8%	2.43	4.35	—
2024	27	MIX MLE	3 levels	26	0	33	133	30	11	3	0%	1.3	16.5%	8.8%	7.6%	2.8%	2.43	4.35	—
2024	27	MIX RAW	3 levels	26	0	33	133	30	11	3	0%	1.3	22.6%	8.3%	14.3%	2.3%	2.43	3.46	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			1	0	0	3	0	1	0	0%	0.3	0.0%	33.3%	-33.3%	0.0%	0.00	12.10	-0.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	WSH	16	0	17	72	15	7	2	0%	1.1	21.0%	9.1%	12.0%	3.0%	4.51	4.51	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	WSH	19	0	20	84	18	8	3	0%	1.1	20.9%	9.4%	11.4%	3.2%	4.61	4.69	-0.0
2028	31	MLB CTX	WSH	6	0	6	25	5	2	1	0%	1.0	20.9%	9.4%	11.4%	3.2%	4.61	4.69	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	29	6	3	1	0%	0.9	18.8%	11.9%	6.9%	2.9%	4.38	4.62	-0.0
/ 200 IP	—	RAW		211	0	200	893	182	91	30	0%	0.9	18.8%	11.9%	6.9%	2.9%	4.38	4.62	-0.2
Career	—	MLE		183	16	249	1130	243	174	25	9%	1.4	21.5%	15.4%	6.1%	2.2%	4.98	4.45	-0.1
/ 200 IP	—	MLE		147	13	200	906	195	139	20	9%	1.4	21.5%	15.4%	6.1%	2.2%	4.98	4.45	-0.6

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
Nash Walters (OGILVIE)	—	—	4.51	21.0%	9.1%	3.0%	—	4.69	20.9%	11.4%	20	+0.18	—	—	—
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	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
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	77
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	77
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	76
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	76
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	75
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	74
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	74
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	73
Oliver Drake R 2017 · 3.42 FIP	30	SU	3.42	24.7%	9.2%	2.3%	.356	3.18	30.1%	22.1%	127	-0.24	2.26	317	72
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	72
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	72
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	71
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	71
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	71
Kiko Calero R 2005 · 3.51 FIP	30	SU	3.51	22.7%	7.0%	2.6%	.252	3.23	23.3%	13.9%	99	-0.28	2.27	298	71
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	71
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	70
Jeremy Fikac R 2004 · 4.91 FIP	29	SU	4.91	19.6%	8.0%	4.5%	.276	—	—	—	—	—	3.10	136	70