Diego Figueroa

P ACL Royals

Age 21 RHP 5'11" / 175 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKDSL Royals Ve…	7	2	18	5.60	3.04	13.0%	2.6%	—	K 8.8% · BB 3.2% · FIP 3.90
2026	20	ROKKC	9	0	9	5.00	3.43	16.7%	13.0%	—	K 11.3% · BB 16.2% · FIP 4.20
2027PROJ	21	MLBKC	7	0	7	4.72	4.72	19.9%	10.3%	-0.0
2028PROJ49% MLB	22	MLBKC	10	0	10	4.55	4.47	21.3%	9.5%	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 98%

CompsMike Morrison (age 22) · Sandy Lugo (age 21) · Andrew Bash (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.72

FIP4.72

K%19.9%

BB%10.3%

K-BB%9.6%

Proj IP7

Value2027 · WAR

Runs saved vs league avg · 7 IP

Grades · Contract

Scouting Grades

K†4550

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	19	ROK MLE	DSL Royals Ventura	7	2	18	77	10	2	1	29%	2.5	8.8%	3.2%	5.6%	2.1%	5.60	3.90	—
2025	19	ROK MLE	DSL Royals Ventura	7	2	18	77	10	2	1	29%	2.5	8.8%	3.2%	5.6%	2.1%	5.60	3.90	—
2025	19	ROK RAW	DSL Royals Ventura	7	2	18	77	10	2	1	29%	2.5	13.0%	2.6%	10.4%	1.3%	5.60	3.04	—
2026	20	ROK MLE	ACL Royals	9	0	9	54	9	7	0	0%	1.0	11.3%	16.2%	-4.9%	0.0%	5.00	4.20	—
2026	20	ROK MLE	ACL Royals	9	0	9	54	9	7	0	0%	1.0	11.3%	16.2%	-4.9%	0.0%	5.00	4.20	—
2026	20	ROK RAW	ACL Royals	9	0	9	54	9	7	0	0%	1.0	16.7%	13.0%	3.7%	0.0%	5.00	3.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	KC	7	0	7	30	6	3	1	0%	1.0	19.9%	10.3%	9.6%	2.9%	4.72	4.72	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	KC	19	0	20	84	18	8	2	0%	1.1	21.3%	9.5%	11.8%	2.9%	4.55	4.47	+0.0
2028	22	MLB CTX	KC	10	0	10	42	9	4	1	0%	1.0	21.3%	9.5%	11.8%	2.9%	4.55	4.47	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	4	1	0%	1.1	21.3%	9.5%	11.8%	2.9%	4.55	4.09	+0.1
/ 200 IP	—	RAW		190	0	200	844	183	81	20	0%	1.1	21.3%	9.5%	11.8%	2.9%	4.55	4.09	+1.1
Career	—	MLE		16	2	27	131	13	11	2	12%	1.7	9.9%	8.6%	1.3%	1.2%	5.40	4.02	+0.0
/ 200 IP	—	MLE		120	15	200	982	97	84	12	12%	1.7	9.9%	8.6%	1.3%	1.2%	5.40	4.02	+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
Diego Figueroa (OGILVIE)	—	—	4.72	19.9%	10.3%	2.9%	—	4.47	21.3%	11.8%	20	-0.25	—	—	—
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	88
Sandy Lugo R 2015 · 3.86 FIP	21	SU	3.86	20.7%	9.5%	2.4%	.352	3.98	23.6%	12.5%	119	+0.12	3.48	146	87
Andrew Bash R 2019 · 3.87 FIP	22	SU	3.87	18.0%	9.2%	2.1%	.273	4.21	14.9%	4.8%	146	+0.34	3.46	483	86
Max Gieg R 2022 · 5.10 FIP	21	SU	5.10	21.1%	11.8%	4.2%	.317	4.65	20.4%	2.3%	92	-0.45	3.98	149	86
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	86
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	86
Luis Alvarado R 2018 · 5.24 FIP	21	SU	5.24	20.2%	12.4%	4.2%	.276	5.16	18.7%	4.4%	140	-0.08	4.89	162	86
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	85
Justin Lasko R 2019 · 3.66 FIP	22	SU	3.66	17.1%	8.6%	1.7%	.286	4.62	15.8%	8.1%	152	+0.96	3.66	173	85
Mason Fox R 2018 · 3.59 FIP	21	SU	3.59	21.9%	11.5%	1.6%	.260	6.72	21.3%	4.8%	30	+3.13	3.59	112	85
Matt Pidich R 2018 · 4.42 FIP	23	SU	4.42	17.1%	8.3%	3.1%	.303	4.08	20.8%	13.3%	115	-0.34	4.05	196	85
Logan Lombana R 2015 · 4.63 FIP	21	SU	4.63	16.9%	10.0%	3.1%	.315	4.02	15.7%	8.1%	123	-0.61	3.80	155	85
Jeremy Beasley R 2017 · 4.71 FIP	21	SU	4.71	19.5%	11.6%	3.3%	.273	4.10	17.7%	8.7%	234	-0.61	3.17	337	84
Austin Mason R 2015 · 4.41 FIP	21	SU	4.41	17.1%	11.6%	2.4%	.289	4.06	16.2%	6.5%	151	-0.35	3.60	179	84
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	84
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	84
Ismael Cabrera R 2015 · 3.56 FIP	21	SU	3.56	19.0%	7.4%	2.1%	.250	5.19	17.4%	6.6%	117	+1.63	3.56	133	84
Todd Peterson R 2021 · 5.11 FIP	23	SW	5.11	18.4%	10.3%	4.1%	.279	4.83	15.0%	4.3%	124	-0.28	4.45	175	84
Cam Bedrosian R 2014 · 3.94 FIP	22	SU	3.94	21.5%	11.8%	2.1%	.350	2.72	26.8%	17.8%	154	-1.22	1.79	363	84
Peyton Williams R 2021 · 3.69 FIP	23	SU	3.69	22.3%	10.3%	2.1%	.311	4.82	22.2%	10.2%	100	+1.13	3.69	123	84