Andy Peralta

P DSL White Sox

Age 20 LHP 6'0" / 175 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKCWS	14	2	26	5.81	3.37	17.8%	10.2%	—	K 12.1% · BB 12.7% · FIP 4.28
2027PROJ	20	MLBCWS	15	0	16	4.73	4.73	21.2%	11.1%	-0.0
2028PROJ49% MLB	21	MLBCWS	11	0	12	4.60	4.54	21.9%	10.3%	0.0

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

Contract

No contract data on file.

CompsHarry Gustin (age 22) · Denny Bentley (age 20) · Abdallah Aris (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 107115vR 123

ERA4.73

FIP4.73

K%21.2%

BB%11.1%

K-BB%10.1%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 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)
2025	18	ROK MLE	DSL White Sox	14	2	26	118	21	12	1	14%	1.9	12.1%	12.7%	-0.6%	1.1%	5.81	4.28	—
2025	18	ROK MLE	DSL White Sox	14	2	26	118	21	12	1	14%	1.9	12.1%	12.7%	-0.6%	1.1%	5.81	4.28	—
2025	18	ROK RAW	DSL White Sox	14	2	26	118	21	12	1	14%	1.9	17.8%	10.2%	7.6%	0.8%	5.81	3.37	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	CWS	15	0	16	68	14	8	2	0%	1.1	21.2%	11.1%	10.1%	3.0%	4.73	4.73	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	CWS	24	0	25	105	23	11	3	0%	1.0	21.9%	10.3%	11.5%	2.9%	4.60	4.54	+0.0
2028	21	MLB CTX	CWS	11	0	12	51	11	5	1	0%	1.1	21.9%	10.3%	11.5%	2.9%	4.60	4.54	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	52	11	5	2	0%	1.0	21.9%	10.3%	11.5%	2.9%	4.60	4.16	+0.1
/ 200 IP	—	RAW		190	0	200	844	180	82	33	0%	1.1	21.9%	10.3%	11.5%	2.9%	4.60	4.16	+0.9
Career	—	MLE		14	2	26	118	14	15	1	14%	1.9	12.1%	12.7%	-0.6%	1.1%	5.81	4.28	+0.0
/ 200 IP	—	MLE		106	15	200	896	108	114	10	14%	1.9	12.1%	12.7%	-0.6%	1.1%	5.81	4.28	+0.0

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
Andy Peralta (OGILVIE)	—	—	4.73	21.2%	11.1%	3.0%	—	4.54	21.9%	11.5%	25	-0.19	—	—	—
Harry Gustin L 2024 · 3.91 FIP	22	SU	3.91	20.7%	11.0%	2.1%	.331	4.33	22.9%	12.7%	109	+0.42	3.70	152	85
Denny Bentley L 2018 · 4.85 FIP	20	SU	4.85	19.6%	10.3%	3.8%	.318	2.88	25.4%	10.3%	58	-1.97	2.88	175	85
Abdallah Aris L 2017 · 3.63 FIP	20	SU	3.63	22.4%	11.3%	1.8%	.341	—	—	—	—	—	3.49	109	83
Vance Tatum L 2016 · 5.04 FIP	21	SU	5.04	17.2%	9.7%	3.9%	.319	5.06	15.6%	2.3%	85	+0.02	4.90	116	82
Drew Harrington L 2016 · 4.18 FIP	21	SU	4.18	15.7%	9.6%	2.1%	.295	4.14	12.5%	5.4%	175	-0.04	3.17	190	82
Felix Doubront L 2010 · 4.00 FIP	22	SW	4.00	20.4%	8.8%	2.7%	.312	4.02	21.6%	11.6%	323	+0.02	3.44	719	81
Zach Morris L 2015 · 3.59 FIP	22	SU	3.59	18.5%	10.1%	1.4%	.286	4.38	13.9%	2.4%	84	+0.79	3.34	109	81
Sean Mellen L 2021 · 4.59 FIP	23	SU	4.59	21.5%	12.1%	3.2%	.364	4.01	21.3%	10.9%	55	-0.58	4.01	101	80
Keylan Killgore L 2019 · 4.23 FIP	22	SU	4.23	20.7%	12.7%	2.3%	.307	—	—	—	—	—	3.73	161	80
Oddanier Mosqueda L 2019 · 3.74 FIP	20	SU	3.74	22.8%	11.1%	2.1%	.308	4.10	25.7%	14.1%	106	+0.36	3.05	433	79
Nick Dombkowski L 2021 · 4.48 FIP	22	SU	4.48	21.3%	8.8%	3.7%	.208	4.71	16.7%	7.7%	223	+0.23	3.71	425	79
Chase Watkins L 2022 · 3.75 FIP	22	SU	3.75	20.6%	11.8%	1.7%	.346	4.34	17.7%	9.0%	156	+0.59	3.30	232	79
Jonathan Hennigan L 2017 · 4.08 FIP	22	SU	4.08	22.0%	13.6%	2.0%	.341	3.57	17.5%	5.8%	119	-0.51	3.46	265	79
Johnathan Frebis L 2015 · 3.81 FIP	22	SU	3.81	17.0%	9.4%	1.8%	.245	4.24	9.7%	-0.6%	124	+0.43	3.81	146	78
Daniel Zamora L 2016 · 3.57 FIP	23	SU	3.57	20.3%	10.8%	1.5%	.294	2.75	24.7%	16.8%	135	-0.82	2.15	310	78
Lucas Knowles L 2021 · 3.90 FIP	23	SW	3.90	20.5%	12.9%	1.6%	.366	4.22	18.5%	9.4%	177	+0.32	3.37	308	78
James Ziemba L 2017 · 3.73 FIP	22	SU	3.73	18.3%	12.5%	1.1%	.309	5.16	11.7%	-0.7%	78	+1.43	3.73	110	78
Jake Higginbotham L 2018 · 5.15 FIP	22	SU	5.15	17.2%	10.6%	3.9%	.256	4.77	18.8%	6.4%	59	-0.38	3.28	335	78
Felix Carvallo L 2015 · 4.56 FIP	21	SU	4.56	17.1%	9.8%	3.0%	.323	4.60	17.7%	4.7%	67	+0.04	4.56	132	77
Will Ohman L 2001 · 4.66 FIP	23	SU	4.66	22.2%	11.1%	3.7%	.353	—	—	—	—	—	2.88	350	77