Masahiro Fukuda

P DSL Rangers Blue

Age 26 RHP 5'9" / 172 lbs ROK

Overview

ROKPROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	24	ROKDSL Rangers R…	9	2	33	5.79	2.55	22.4%	7.7%	—	K 15.2% · BB 9.6% · FIP 3.46
2026	25	ROKDSL Rangers B…	7	0	31	6.32	4.60	20.0%	6.2%	—	K 13.6% · BB 7.8% · FIP 6.11
2027PROJ	26	MLBTEX	18	0	19	4.63	4.63	19.1%	8.5%	-0.0
2028PROJ36% MLB	27	MLBTEX	10	0	11	4.62	4.64	19.5%	8.7%	-0.0

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 100%

CompsConnor Schultz (age 25) · Danny Kirwin (age 24) · P.J. Walters (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.63

FIP4.63

K%19.1%

BB%8.5%

K-BB%10.6%

Proj IP19

Value2027 · WAR

Runs saved vs league avg · 19 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 + 2027 so far)
2025	24	ROK MLE	DSL Rangers Red	9	2	33	143	32	11	1	22%	3.6	15.2%	9.6%	5.6%	0.8%	5.79	3.46	—
2025	24	ROK MLE	DSL Rangers Red	9	2	33	143	32	11	1	22%	3.6	15.2%	9.6%	5.6%	0.8%	5.79	3.46	—
2025	24	ROK RAW	DSL Rangers Red	9	2	33	143	32	11	1	22%	3.6	22.4%	7.7%	14.7%	0.7%	5.79	2.55	—
2026	25	ROK MLE	DSL Rangers Blue	7	0	31	145	29	9	6	0%	4.5	13.6%	7.8%	5.8%	5.8%	6.32	6.11	—
2026	25	ROK MLE	DSL Rangers Blue	7	0	31	145	29	9	6	0%	4.5	13.6%	7.8%	5.8%	5.8%	6.32	6.11	—
2026	25	ROK RAW	DSL Rangers Blue	7	0	31	145	29	9	6	0%	4.5	20.0%	6.2%	13.8%	4.1%	6.32	4.60	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	TEX	18	0	19	80	15	7	2	0%	1.1	19.1%	8.5%	10.6%	3.1%	4.63	4.63	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	TEX	28	0	29	122	24	11	4	0%	1.0	19.5%	8.7%	10.9%	3.1%	4.62	4.64	-0.0
2028	27	MLB CTX	TEX	10	0	11	46	9	4	1	0%	1.1	19.5%	8.7%	10.9%	3.1%	4.62	4.64	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	44	9	4	1	0%	1.1	19.5%	8.7%	10.9%	3.1%	4.62	4.26	+0.0
/ 200 IP	—	RAW		190	0	200	844	171	76	19	0%	1.1	19.5%	8.7%	10.9%	3.1%	4.62	4.26	+0.7
Career	—	MLE		16	2	64	288	41	25	10	12%	4.0	14.4%	8.7%	5.7%	3.3%	6.05	4.80	-0.0
/ 200 IP	—	MLE		50	6	200	900	130	78	30	12%	4.0	14.4%	8.7%	5.7%	3.3%	6.05	4.80	-0.2

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
Masahiro Fukuda (OGILVIE)	—	—	4.63	19.1%	8.5%	3.1%	—	4.64	19.5%	10.9%	29	+0.01	—	—	—
Connor Schultz R 2024 · 3.88 FIP	25	SU	3.88	19.7%	5.3%	3.2%	.283	4.02	18.8%	10.4%	156	+0.14	3.53	203	75
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	74
P.J. Walters R 2010 · 4.93 FIP	25	SW	4.93	17.1%	7.8%	4.2%	.293	5.05	14.1%	5.6%	101	+0.12	3.97	230	71
Jorge Campillo R 2007 · 4.84 FIP	28	SU	4.84	14.3%	9.5%	3.2%	.348	3.93	16.3%	10.8%	159	-0.91	3.93	172	70
Trennor O'Donnell R 2024 · 3.45 FIP	23	SW	3.45	18.2%	8.6%	1.5%	.326	6.32	14.2%	0.6%	44	+2.87	3.45	107	69
Conor Steinbaugh R 2024 · 4.74 FIP	25	SU	4.74	16.0%	9.9%	3.2%	.281	6.29	15.0%	2.1%	44	+1.55	4.74	111	68
Noah Bremer R 2021 · 4.39 FIP	25	SW	4.39	18.0%	9.4%	2.9%	.292	5.82	13.1%	1.2%	46	+1.43	3.19	271	67
Ryan Tapani R 2019 · 3.86 FIP	25	SW	3.86	19.0%	7.3%	2.6%	.331	5.56	20.8%	10.6%	47	+1.70	3.86	141	67
David Martinez R 2013 · 3.94 FIP	25	SU	3.94	11.5%	5.8%	2.0%	.357	4.30	14.6%	7.9%	161	+0.36	3.92	309	67
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	65
Lance Carter R 2002 · 3.63 FIP	27	SU	3.63	17.7%	5.1%	2.5%	.220	4.80	11.6%	6.3%	216	+1.17	3.63	248	65
Taylor Grover R 2017 · 4.93 FIP	26	SW	4.93	20.0%	10.9%	3.9%	.320	4.89	16.2%	8.9%	14	-0.04	3.68	239	65
Zach Mort R 2022 · 4.95 FIP	25	SW	4.95	16.3%	7.7%	4.1%	.298	—	—	—	—	—	4.95	237	65
Junior Rincon R 2017 · 4.37 FIP	25	SW	4.37	14.5%	8.7%	2.5%	.342	—	—	—	—	—	3.52	113	65
Jake Lyons R 2023 · 4.13 FIP	24	SW	4.13	20.1%	8.5%	3.0%	.337	—	—	—	—	—	4.13	174	65
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	65
Coleman Huntley III R 2021 · 3.85 FIP	28	SW	3.85	20.2%	7.4%	2.8%	.348	3.56	23.4%	13.2%	86	-0.29	2.38	160	64
Jorge Reyes R 2015 · 4.58 FIP	27	SW	4.58	15.9%	8.5%	3.2%	.307	3.49	14.2%	6.2%	129	-1.09	3.39	227	64
Shane Rademacher R 2024 · 5.33 FIP	23	SW	5.33	20.1%	9.1%	5.1%	.377	5.86	13.5%	5.8%	190	+0.53	5.33	275	63
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	63