Samuel Santos

P DSL Arizona Red

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Arizona R…	9	1	23	2.70	2.41	29.8%	9.6%	—	K 20.3% · BB 12.0% · FIP 3.72
2027PROJ	19	MLB—	13	0	14	4.60	4.60	22.5%	11.0%	-0.0
2028PROJ49% MLB	20	MLB—	10	0	11	4.48	4.43	23.0%	10.2%	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%

CompsHarold Cortijo (age 18) · Kyle Zurak (age 22) · Joangel Gonzalez (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121112vR 104

ERA4.60

FIP4.60

K%22.5%

BB%11.0%

K-BB%11.5%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 IP

Grades · Contract

Scouting Grades

K†5555

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)
2026	18	ROK MLE	DSL Arizona Red	9	1	23	94	28	9	1	11%	2.6	20.3%	12.0%	8.3%	1.5%	2.70	3.72	—
2026	18	ROK MLE	DSL Arizona Red	9	1	23	94	28	9	1	11%	2.6	20.3%	12.0%	8.3%	1.5%	2.70	3.72	—
2026	18	ROK RAW	DSL Arizona Red	9	1	23	94	28	9	1	11%	2.6	29.8%	9.6%	20.2%	1.1%	2.70	2.41	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	13	0	14	59	13	7	2	0%	1.1	22.5%	11.0%	11.5%	3.0%	4.60	4.60	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	21	0	22	93	21	10	3	0%	1.1	23.0%	10.2%	12.8%	2.9%	4.48	4.43	+0.0
2028	20	MLB CTX	—	10	0	11	46	11	5	1	0%	1.1	23.0%	10.2%	12.8%	2.9%	4.48	4.43	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	46	11	5	1	0%	1.1	23.0%	10.2%	12.8%	2.9%	4.48	4.05	+0.1
/ 200 IP	—	RAW		190	0	200	844	202	92	18	0%	1.0	23.0%	10.2%	12.8%	2.9%	4.48	4.05	+1.2
Career	—	MLE		9	1	23	94	19	11	1	11%	2.6	20.3%	12.0%	8.3%	1.5%	2.70	3.72	+0.0
/ 200 IP	—	MLE		77	9	200	806	163	96	12	11%	2.6	20.3%	12.0%	8.3%	1.5%	2.70	3.72	+0.3

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
Samuel Santos (OGILVIE)	—	—	4.60	22.5%	11.0%	3.0%	—	4.43	23.0%	12.8%	22	-0.17	—	—	—
Harold Cortijo R 2017 · 4.46 FIP	18	SU	4.46	19.1%	9.8%	3.1%	.309	5.64	13.5%	2.2%	73	+1.18	4.15	179	85
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
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	83
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	81
Jesus Gamez R 2024 · 3.81 FIP	21	SU	3.81	25.4%	14.0%	2.0%	.321	4.28	27.2%	2.8%	77	+0.47	3.42	105	81
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	81
Justin Meis R 2021 · 4.07 FIP	21	SU	4.07	25.6%	13.6%	2.6%	.300	5.14	18.2%	5.5%	261	+1.07	3.68	411	80
Ricardo Brizuela R 2022 · 4.03 FIP	19	SW	4.03	20.1%	11.6%	2.1%	.375	4.39	16.0%	7.1%	208	+0.36	3.20	246	80
Blake Workman R 2018 · 4.00 FIP	20	SU	4.00	18.9%	9.5%	2.4%	.307	3.98	23.8%	19.5%	105	-0.02	3.09	213	80
Osiris German R 2018 · 4.26 FIP	19	SU	4.26	20.6%	8.7%	3.3%	.346	3.15	26.3%	15.5%	59	-1.11	3.11	187	80
Layonel Ovalles R 2022 · 3.57 FIP	19	SW	3.57	23.1%	10.2%	2.1%	.333	4.62	17.4%	3.0%	146	+1.05	2.60	227	80
Rolddy Muñoz R 2021 · 4.32 FIP	21	SU	4.32	21.4%	13.7%	2.4%	.342	3.54	21.1%	9.8%	149	-0.78	3.18	290	80
Jose Vasquez R 2024 · 4.12 FIP	19	SW	4.12	21.9%	13.4%	2.1%	.359	6.49	15.6%	-10.2%	66	+2.37	4.12	123	80
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	80
Danny Dopico R 2015 · 3.87 FIP	21	SU	3.87	25.4%	10.8%	2.8%	.333	3.90	22.8%	8.1%	173	+0.03	3.00	318	79
Joel Garcia R 2023 · 4.26 FIP	19	SW	4.26	18.4%	13.0%	1.9%	.341	3.88	16.7%	9.5%	72	-0.38	3.02	104	79
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	79
Yaqui Rivera R 2022 · 3.67 FIP	19	SU	3.67	21.0%	12.4%	1.4%	.371	3.95	22.5%	6.4%	138	+0.28	3.67	292	79
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	79
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	79