Santiago Lopez

P DSL Cubs Blue

Age 18 RHP ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Cubs Blue	11	10	30	6.98	3.27	27.2%	16.3%	—	K 18.5% · BB 20.4% · FIP 4.65
2027PROJ	18	MLBCHC	3	3	18	5.50	5.50	21.6%	17.7%	-0.1
2028PROJ49% MLB	19	MLBCHC	3	3	14	5.21	5.10	22.2%	15.1%	-0.0

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 96%

CompsJustin Lange (age 19) · Biembenido Brito (age 19) · Edgar Leon (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138129vR 121

ERA5.50

FIP5.50

K%21.6%

BB%17.7%

K-BB%3.9%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 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)
2026	17	ROK MLE	DSL Cubs Blue	11	10	30	147	40	24	1	91%	2.7	18.5%	20.4%	-1.9%	1.0%	6.98	4.65	—
2026	17	ROK MLE	DSL Cubs Blue	11	10	30	147	40	24	1	91%	2.7	18.5%	20.4%	-1.9%	1.0%	6.98	4.65	—
2026	17	ROK RAW	DSL Cubs Blue	11	10	30	147	40	24	1	91%	2.7	27.2%	16.3%	10.9%	0.7%	6.98	3.27	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	CHC	3	3	18	76	16	13	2	100%	6.0	21.6%	17.7%	3.9%	2.9%	5.50	5.50	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	CHC	5	5	28	118	26	18	3	100%	5.6	22.2%	15.1%	7.1%	2.9%	5.21	5.10	-0.1
2028	19	MLB CTX	CHC	3	3	14	59	13	9	2	100%	4.7	22.2%	15.1%	7.1%	2.9%	5.21	5.10	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	14	58	13	9	2	100%	4.6	22.2%	15.1%	7.1%	2.9%	5.21	4.72	+0.0
/ 200 IP	—	RAW		46	46	200	844	189	131	29	100%	4.3	22.2%	15.1%	7.1%	2.9%	5.21	4.72	+0.4
Career	—	MLE		11	10	30	147	27	30	1	91%	2.7	18.5%	20.4%	-1.9%	1.0%	6.98	4.65	-0.1
/ 200 IP	—	MLE		74	67	200	991	183	202	9	91%	2.7	18.5%	20.4%	-1.9%	1.0%	6.98	4.65	-0.5

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 Lopez (OGILVIE)	—	—	5.50	21.6%	17.7%	2.9%	—	5.10	22.2%	7.1%	28	-0.40	—	—	—
Justin Lange R 2021 · 4.55 FIP	19	SP	4.55	19.3%	18.4%	1.4%	.298	4.81	23.4%	3.7%	122	+0.26	4.55	144	84
Biembenido Brito R 2022 · 4.64 FIP	19	SP	4.64	24.7%	18.5%	2.3%	.301	5.37	18.7%	-1.3%	91	+0.73	3.58	130	83
Edgar Leon R 2023 · 4.36 FIP	18	SP	4.36	18.2%	15.4%	1.5%	.268	4.93	17.6%	-3.0%	83	+0.57	4.13	144	82
Randry De Leon R 2023 · 6.45 FIP	18	SP-	6.45	17.7%	20.2%	4.2%	.308	4.83	18.4%	3.3%	123	-1.62	4.37	153	82
Eddy Peralta R 2023 · 4.65 FIP	20	SP-	4.65	22.0%	19.8%	1.6%	.342	3.96	21.0%	1.7%	86	-0.69	3.73	117	81
Omar Gonzalez R 2023 · 5.10 FIP	18	SP	5.10	24.3%	24.6%	1.7%	.375	5.69	15.1%	-2.0%	106	+0.59	2.25	137	81
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	80
Edgar Isea R 2022 · 5.51 FIP	19	SP-	5.51	19.3%	20.3%	2.7%	.371	5.19	21.4%	-4.1%	98	-0.32	4.50	162	79
Dylan Lesko R 2023 · 4.34 FIP	19	SP	4.34	26.8%	18.3%	2.2%	.333	6.78	17.8%	-7.7%	124	+2.44	4.34	152	79
Tanner McDougal R 2023 · 4.96 FIP	20	SP	4.96	19.7%	16.9%	2.5%	.285	4.81	21.3%	8.0%	253	-0.15	3.82	323	78
Jean Munoz R 2021 · 4.96 FIP	18	SP	4.96	16.1%	16.1%	2.2%	.292	3.91	17.3%	2.4%	82	-1.05	3.23	215	78
Mick Abel R 2021 · 4.95 FIP	19	SP	4.95	25.8%	16.9%	3.5%	.242	4.86	21.1%	7.6%	326	-0.09	2.24	528	78
Lisandro Almonte R 2021 · 4.89 FIP	19	SP-	4.89	16.3%	16.4%	2.0%	.298	4.93	19.6%	4.9%	78	+0.04	3.81	128	78
Yerlin Rodriguez R 2021 · 5.73 FIP	19	SP-	5.73	20.0%	23.6%	2.4%	.378	4.63	19.9%	0.7%	112	-1.10	3.84	244	78
Alexander Almonte R 2024 · 5.69 FIP	17	SP	5.69	16.2%	13.8%	4.0%	.250	4.82	12.6%	-2.8%	75	-0.87	4.27	100	78
Adam Bates R 2024 · 5.12 FIP	18	SP-	5.12	16.2%	14.1%	2.9%	.358	6.39	13.0%	-7.2%	146	+1.27	5.12	183	77
Jeter Martinez R 2024 · 4.72 FIP	18	SP	4.72	18.1%	21.1%	0.9%	.282	4.90	15.6%	-0.4%	129	+0.18	3.52	216	77
Rafael Ohashi R 2021 · 4.83 FIP	18	SP-	4.83	21.2%	23.2%	1.1%	.339	5.42	15.9%	2.4%	177	+0.59	4.67	203	77
Chen-Wei Lin R 2023 · 6.48 FIP	21	SP	6.48	21.3%	22.0%	4.4%	.379	3.81	20.5%	8.4%	257	-2.67	3.05	269	77
Michell Miliano R 2018 · 4.93 FIP	18	SP	4.93	16.3%	16.7%	2.0%	.379	5.90	24.3%	-1.8%	71	+0.97	4.42	205	76