Diego Perez

P ACL White Sox

Age 19 RHP 6'0" / 153 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKCWS	16	11	32	5.12	3.92	22.8%	15.2%	—	K 15.5% · BB 19.0% · FIP 5.16
2026	18	ROKCWS	6	3	8	19.12	7.47	14.0%	29.8%	—	K 9.5% · BB 37.3% · FIP 7.02
2027PROJ	19	MLBCWS	2	2	10	5.95	5.95	19.8%	20.0%	-0.1
2028PROJ49% MLB	20	MLBCWS	3	3	15	5.58	5.44	20.7%	16.8%	-0.1

Next 2 projected WAR -0.2Projected 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 94%

CompsChris Viall (age 20) · Jace Beck (age 21) · Keegan Zinn (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 146138vR 130

ERA5.95

FIP5.95

K%19.8%

BB%20.0%

K-BB%-0.2%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 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	17	ROK MLE	DSL White Sox	16	11	32	145	33	22	2	69%	2.0	15.5%	19.0%	-3.5%	1.8%	5.12	5.16	—
2025	17	ROK MLE	DSL White Sox	16	11	32	145	33	22	2	69%	2.0	15.5%	19.0%	-3.5%	1.8%	5.12	5.16	—
2025	17	ROK RAW	DSL White Sox	16	11	32	145	33	22	2	69%	2.0	22.8%	15.2%	7.6%	1.4%	5.12	3.92	—
2026	18	ROK MLE	ACL White Sox	6	3	8	57	8	17	0	50%	1.3	9.5%	37.3%	-27.7%	0.0%	19.12	7.02	—
2026	18	ROK MLE	ACL White Sox	6	3	8	57	8	17	0	50%	1.3	9.5%	37.3%	-27.7%	0.0%	19.12	7.02	—
2026	18	ROK RAW	ACL White Sox	6	3	8	57	8	17	0	50%	1.3	14.0%	29.8%	-15.8%	0.0%	19.12	7.47	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	CWS	2	2	10	42	8	8	1	100%	5.0	19.8%	20.0%	-0.2%	2.9%	5.95	5.95	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	CWS	5	5	30	126	26	21	4	100%	6.0	20.7%	16.8%	3.9%	2.9%	5.58	5.44	-0.2
2028	20	MLB CTX	CWS	3	3	15	63	13	11	2	100%	5.0	20.7%	16.8%	3.9%	2.9%	5.58	5.44	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	15	62	13	10	2	100%	4.9	20.7%	16.8%	3.9%	2.9%	5.58	5.06	-0.0
/ 200 IP	—	RAW		43	43	200	844	177	136	27	100%	4.6	20.7%	16.8%	3.9%	2.9%	5.58	5.06	-0.4
Career	—	MLE		22	14	40	202	28	49	3	64%	1.8	13.8%	24.1%	-10.3%	1.3%	7.94	5.68	-0.2
/ 200 IP	—	MLE		111	71	200	1018	141	246	13	64%	1.8	13.8%	24.1%	-10.3%	1.3%	7.94	5.68	-1.3

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 Perez (OGILVIE)	—	—	5.95	19.8%	20.0%	2.9%	—	5.44	20.7%	3.9%	30	-0.51	—	—	—
Chris Viall R 2016 · 5.86 FIP	20	SP-	5.86	18.9%	21.9%	2.9%	.314	5.06	21.3%	5.8%	88	-0.80	4.89	108	89
Jace Beck R 2021 · 5.13 FIP	21	SP-	5.13	21.1%	23.7%	1.5%	.347	5.32	25.7%	2.8%	50	+0.19	4.03	216	82
Keegan Zinn R 2024 · 6.40 FIP	19	SP-	6.40	19.1%	19.5%	4.4%	.318	5.80	19.0%	-1.9%	112	-0.60	4.88	145	82
Janser Lara R 2016 · 5.61 FIP	19	SP-	5.61	20.1%	17.3%	3.7%	.354	5.04	17.9%	4.8%	118	-0.57	2.84	220	81
Yosber Sanchez R 2019 · 5.58 FIP	18	SP-	5.58	14.6%	14.9%	3.3%	.315	4.61	20.2%	-5.2%	13	-0.97	3.21	200	79
Eriq Swan R 2024 · 4.85 FIP	22	SP-	4.85	19.7%	17.3%	2.2%	.371	5.28	19.7%	0.9%	109	+0.43	4.85	132	79
Wellington Aracena R 2024 · 5.43 FIP	19	SP-	5.43	18.9%	24.7%	1.5%	.343	3.94	20.0%	4.8%	196	-1.49	3.20	304	79
Jesus Tillero R 2024 · 5.94 FIP	18	SP-	5.94	13.3%	18.0%	3.1%	.274	5.23	14.8%	3.8%	129	-0.71	2.26	180	78
Cesar Espinal R 2024 · 5.75 FIP	18	SW	5.75	16.8%	25.5%	1.5%	.300	6.38	15.7%	-1.8%	36	+0.63	4.28	109	78
Miguel Ullola R 2021 · 4.90 FIP	19	SP-	4.90	24.4%	24.8%	1.3%	.239	4.54	24.8%	7.6%	290	-0.36	3.87	511	78
Ben Peoples R 2019 · 6.28 FIP	18	SW	6.28	21.8%	27.5%	2.8%	.227	4.51	23.0%	9.1%	103	-1.77	3.56	365	78
Wilian Bormie R 2023 · 5.84 FIP	22	SP-	5.84	21.6%	20.4%	3.6%	.275	4.13	23.2%	9.3%	203	-1.71	3.51	226	78
Junior Mieses R 2019 · 4.87 FIP	19	SP-	4.87	19.9%	19.2%	1.9%	.296	6.10	18.9%	-1.2%	134	+1.23	4.87	236	77
Trayson Kubo R 2019 · 5.01 FIP	21	SW	5.01	19.8%	15.6%	2.9%	.450	4.82	17.7%	1.4%	66	-0.19	4.48	107	77
Rubén Menes R 2023 · 6.12 FIP	21	SP-	6.12	13.1%	21.9%	2.5%	.257	4.94	15.6%	2.1%	100	-1.18	3.39	112	77
Sunayro Martina R 2023 · 4.79 FIP	19	SP-	4.79	17.6%	21.9%	0.7%	.247	5.46	14.4%	-4.0%	90	+0.67	4.57	118	77
Alex Makarewich R 2024 · 6.15 FIP	22	SP-	6.15	19.7%	26.7%	2.4%	.425	5.15	26.4%	-3.3%	83	-1.00	4.26	110	76
Dylan Questad R 2024 · 6.95 FIP	19	SP-	6.95	17.6%	24.0%	4.2%	.392	6.50	17.3%	-5.3%	89	-0.45	6.31	117	76
Jacob Steinmetz R 2022 · 5.07 FIP	19	SP-	5.07	15.7%	21.4%	1.1%	.391	4.52	16.3%	4.0%	180	-0.55	3.79	225	76
Yoniel Curet R 2022 · 5.18 FIP	19	SP-	5.18	21.8%	17.5%	3.1%	.205	3.80	23.9%	8.1%	273	-1.38	3.40	394	76