Santiago Peraza

P ACL Guardians

Age 22 RHP 5'11" / 135 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKDSL CLE Goryl	10	10	42	0.86	2.70	22.0%	11.3%	—	K 15.0% · BB 14.1% · FIP 3.63
2025	20	ROKCLE	13	0	20	7.32	4.17	24.0%	23.0%	—	K 16.3% · BB 28.8% · FIP 5.36
2027PROJ	22	MLBCLE	14	0	15	5.56	5.56	21.6%	18.1%	-0.2
2028PROJ49% MLB	23	MLBCLE	10	0	10	5.24	5.11	22.5%	15.3%	-0.1

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsRadhames Liz (age 23) · Juan Mendez (age 22) · Keegan Collett (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 139131vR 123

ERA5.56

FIP5.56

K%21.6%

BB%18.1%

K-BB%3.5%

Proj IP15

Value2027 · WAR

Runs saved vs league avg · 15 IP

Grades · Contract

Scouting Grades

K†5055

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	18	ROK MLE	DSL Guardians Blue	13	1	30	141	32	27	2	8%	2.3	15.4%	23.9%	-8.5%	1.9%	6.00	5.88	—
2023	18	ROK RAW	DSL Guardians Blue	13	1	30	141	32	27	2	8%	2.3	22.7%	19.1%	3.5%	1.4%	6.00	4.53	—
2024	19	ROK MLE	DSL CLE Goryl	10	10	42	168	37	19	0	100%	4.2	15.0%	14.1%	0.8%	0.0%	0.86	3.63	—
2024	19	ROK MLE	DSL CLE Goryl	10	10	42	168	37	19	0	100%	4.2	15.0%	14.1%	0.8%	0.0%	0.86	3.63	—
2024	19	ROK RAW	DSL CLE Goryl	10	10	42	168	37	19	0	100%	4.2	22.0%	11.3%	10.7%	0.0%	0.86	2.70	—
2025	20	ROK MLE	ACL Guardians	13	0	20	100	24	23	0	0%	1.5	16.3%	28.8%	-12.4%	0.0%	7.32	5.36	—
2025	20	ROK MLE	ACL Guardians	13	0	20	100	24	23	0	0%	1.5	16.3%	28.8%	-12.4%	0.0%	7.32	5.36	—
2025	20	ROK RAW	ACL Guardians	13	0	20	100	24	23	0	0%	1.5	24.0%	23.0%	1.0%	0.0%	7.32	4.17	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	CLE	14	0	15	63	14	11	2	0%	1.1	21.6%	18.1%	3.5%	2.9%	5.56	5.56	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	CLE	19	0	20	84	19	13	2	0%	1.1	22.5%	15.3%	7.2%	2.9%	5.24	5.11	-0.1
2028	23	MLB CTX	CLE	10	0	10	42	10	6	1	0%	1.0	22.5%	15.3%	7.2%	2.9%	5.24	5.11	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	6	1	0%	1.1	22.5%	15.3%	7.2%	2.9%	5.24	4.73	-0.0
/ 200 IP	—	RAW		190	0	200	844	183	122	20	0%	1.1	22.5%	15.3%	7.2%	2.9%	5.24	4.73	-0.4
Career	—	MLE		36	11	92	409	63	86	3	31%	2.5	15.5%	21.1%	-5.6%	0.7%	3.93	4.83	-0.1
/ 200 IP	—	MLE		79	24	200	892	138	188	6	31%	2.5	15.5%	21.1%	-5.6%	0.7%	3.93	4.83	-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
Santiago Peraza (OGILVIE)	—	—	5.56	21.6%	18.1%	2.9%	—	5.11	22.5%	7.2%	20	-0.45	—	—	—
Radhames Liz R 2007 · 5.07 FIP	23	SW	5.07	19.7%	18.0%	2.5%	.301	5.66	14.5%	2.3%	84	+0.59	2.81	219	85
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	83
Keegan Collett R 2019 · 5.05 FIP	21	SW	5.05	21.9%	24.6%	1.2%	.321	4.68	29.1%	9.0%	84	-0.37	3.93	184	81
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	81
Hansel Rosario R 2024 · 5.54 FIP	21	SW	5.54	19.2%	22.2%	2.3%	.306	7.16	16.3%	-21.0%	19	+1.62	5.25	107	80
Yunior Montero R 2015 · 4.82 FIP	22	SW	4.82	16.9%	14.1%	2.5%	.276	4.58	21.5%	6.2%	91	-0.24	3.65	127	80
Dylan King R 2019 · 4.43 FIP	22	SW	4.43	21.4%	20.5%	1.0%	.233	4.79	27.1%	17.7%	90	+0.36	3.78	121	79
Ryan Cardona R 2022 · 5.07 FIP	22	SW	5.07	20.9%	17.7%	2.7%	.274	4.27	18.5%	4.3%	292	-0.80	3.62	367	79
Blane Abeyta R 2021 · 4.66 FIP	22	SP-	4.66	21.1%	18.2%	1.9%	.283	4.78	15.6%	6.4%	343	+0.12	4.24	489	79
Sam Ryan R 2021 · 4.38 FIP	22	SW	4.38	16.4%	14.7%	1.5%	.328	3.85	13.7%	2.9%	49	-0.53	3.80	178	78
Joey Matulovich R 2019 · 5.52 FIP	22	SW	5.52	19.8%	14.6%	4.1%	.378	5.04	20.5%	8.9%	133	-0.48	3.22	201	78
Blake Holub R 2022 · 4.55 FIP	23	SU	4.55	21.7%	15.3%	2.4%	.339	3.73	23.4%	12.7%	156	-0.82	3.22	258	78
Victor Simeon R 2023 · 5.53 FIP	22	SW	5.53	20.3%	15.7%	3.9%	.333	3.87	25.6%	5.4%	81	-1.66	3.22	180	78
Kevin Abel R 2022 · 5.92 FIP	23	SW	5.92	25.2%	22.4%	3.9%	.441	4.63	18.6%	4.5%	308	-1.29	4.50	450	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
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	76
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	76
Eury Rosado R 2023 · 6.56 FIP	22	SW	6.56	17.8%	18.2%	4.8%	.351	—	—	—	—	—	3.83	109	76
Alec Barger R 2021 · 4.55 FIP	23	SW	4.55	21.7%	13.6%	2.8%	.289	4.17	21.3%	9.4%	148	-0.38	3.85	242	76
Reynardo Cruz R 2022 · 5.44 FIP	20	SW	5.44	16.1%	18.2%	2.5%	.252	4.85	16.3%	-1.2%	66	-0.59	3.96	216	75