Reudis Diaz

P ACL White Sox

Age 21 RHP 6'1" / 180 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKCWS	21	28	2.28	2.56	15.7%	6.1%	—	K 10.6% · BB 7.6% · FIP 3.16
2026	20	ROKCWS	15	16	6.06	3.41	17.7%	13.9%	—	K 12.1% · BB 17.4% · FIP 4.29
2027PROJ	21	MLBCWS	12	13	4.90	4.90	19.0%	11.4%	-0.1
2028PROJ49% MLB	22	MLBCWS	12	13	4.69	4.60	20.6%	10.3%	-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 98%

CompsMike Morrison (age 22) · Austin Mason (age 21) · Joangel Gonzalez (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.90

FIP4.90

K%19.0%

BB%11.4%

K-BB%7.6%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 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)
2023	17	ROK MLE	DSL White Sox	16	2	30	137	21	7	2	12%	1.9	10.4%	6.4%	4.0%	1.7%	6.60	3.94	—
2023	17	ROK RAW	DSL White Sox	16	2	30	137	21	7	2	12%	1.9	15.3%	5.1%	10.2%	1.5%	6.60	3.27	—
2024	18	ROK MLE	DSL White Sox	9	7	35	144	34	6	2	78%	3.9	16.1%	5.2%	10.8%	1.3%	2.04	3.13	—
2024	18	ROK MLE	DSL White Sox	9	7	35	144	34	6	2	78%	3.9	16.1%	5.2%	10.8%	1.3%	2.04	3.13	—
2024	18	ROK RAW	DSL White Sox	9	7	35	144	34	6	2	78%	3.9	23.6%	4.2%	19.4%	1.4%	2.04	2.42	—
2025	19	ROK MLE	ACL White Sox	21	0	28	115	18	7	0	0%	1.3	10.6%	7.6%	3.0%	0.0%	2.28	3.16	—
2025	19	ROK MLE	ACL White Sox	21	0	28	115	18	7	0	0%	1.3	10.6%	7.6%	3.0%	0.0%	2.28	3.16	—
2025	19	ROK RAW	ACL White Sox	21	0	28	115	18	7	0	0%	1.3	15.7%	6.1%	9.6%	0.0%	2.28	2.56	—
2026	20	ROK MLE	ACL White Sox	15	0	16	79	14	11	0	0%	1.1	12.1%	17.4%	-5.4%	0.0%	6.06	4.29	—
2026	20	ROK MLE	ACL White Sox	15	0	16	79	14	11	0	0%	1.1	12.1%	17.4%	-5.4%	0.0%	6.06	4.29	—
2026	20	ROK RAW	ACL White Sox	15	0	16	79	14	11	0	0%	1.1	17.7%	13.9%	3.8%	0.0%	6.06	3.41	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	CWS	12	0	13	55	10	6	2	0%	1.1	19.0%	11.4%	7.6%	2.9%	4.90	4.90	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	CWS	25	0	26	110	23	11	3	0%	1.0	20.6%	10.3%	10.3%	2.8%	4.69	4.60	-0.0
2028	22	MLB CTX	CWS	12	0	13	55	11	6	2	0%	1.1	20.6%	10.3%	10.3%	2.8%	4.69	4.60	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	13	54	11	6	2	0%	1.1	20.6%	10.3%	10.3%	2.8%	4.69	4.22	+0.1
/ 200 IP	—	RAW		190	0	200	844	171	94	31	0%	1.1	20.6%	10.3%	10.3%	2.8%	4.69	4.22	+0.8
Career	—	MLE		61	9	109	475	59	39	4	15%	1.8	12.5%	8.2%	4.3%	0.9%	3.95	3.57	-0.0
/ 200 IP	—	MLE		112	16	200	869	108	71	8	15%	1.8	12.5%	8.2%	4.3%	0.9%	3.95	3.57	-0.1

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
Reudis Diaz (OGILVIE)	—	—	4.90	19.0%	11.4%	2.9%	—	4.60	20.6%	10.3%	26	-0.30	—	—	—
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	89
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	87
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	86
Josnier Parra R 2023 · 4.56 FIP	21	SU	4.56	15.9%	9.8%	2.9%	.319	5.01	12.1%	2.9%	118	+0.45	3.76	150	86
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	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
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	85
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	85
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	85
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	85
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	85
Audry Lugo R 2019 · 4.05 FIP	20	SU	4.05	18.5%	11.4%	2.0%	.247	5.30	15.6%	-0.4%	77	+1.25	4.05	113	85
Luis F. Castillo R 2016 · 4.51 FIP	21	SU	4.51	16.7%	10.5%	2.7%	.337	3.50	19.7%	12.3%	96	-1.01	2.95	254	84
Devon Fisher R 2016 · 4.39 FIP	20	SU	4.39	16.5%	12.5%	2.0%	.333	5.76	15.1%	0.9%	88	+1.37	4.39	102	84
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	84
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	84
Brandon Beckel R 2024 · 3.75 FIP	22	SU	3.75	19.4%	10.3%	1.8%	.250	4.23	19.5%	10.5%	147	+0.48	3.75	194	84
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	84
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	84
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	84