Carlos Guerrero

P DSL Marlins

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKMIA	5	2	15	1.20	3.37	15.6%	12.5%	—	K 10.6% · BB 15.6% · FIP 4.18
2027PROJ	20	MLBMIA	9	0	9	4.97	4.97	20.8%	12.9%	-0.0
2028PROJ49% MLB	21	MLBMIA	10	0	10	4.80	4.72	21.5%	11.6%	-0.0

Next 2 projected WAR -0.1Projected 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 100%

CompsKobe Robinson (age 21) · Eccel Correa (age 20) · Felix Arronde (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128119vR 111

ERA4.97

FIP4.97

K%20.8%

BB%12.9%

K-BB%7.9%

Proj IP9

Value2027 · WAR

Runs saved vs league avg · 9 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)
2026	19	ROK MLE	DSL Marlins	5	2	15	64	10	8	0	40%	3.0	10.6%	15.6%	-5.0%	0.0%	1.20	4.18	—
2026	19	ROK MLE	DSL Marlins	5	2	15	64	10	8	0	40%	3.0	10.6%	15.6%	-5.0%	0.0%	1.20	4.18	—
2026	19	ROK RAW	DSL Marlins	5	2	15	64	10	8	0	40%	3.0	15.6%	12.5%	3.1%	0.0%	1.20	3.37	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	MIA	9	0	9	38	8	5	1	0%	1.0	20.8%	12.9%	7.9%	2.9%	4.97	4.97	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	MIA	19	0	20	84	18	10	2	0%	1.1	21.5%	11.6%	9.9%	2.9%	4.80	4.72	-0.0
2028	21	MLB CTX	MIA	10	0	10	42	9	5	1	0%	1.0	21.5%	11.6%	9.9%	2.9%	4.80	4.72	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	5	1	0%	1.1	21.5%	11.6%	9.9%	2.9%	4.80	4.34	+0.0
/ 200 IP	—	RAW		190	0	200	844	183	102	20	0%	1.1	21.5%	11.6%	9.9%	2.9%	4.80	4.34	+0.5
Career	—	MLE		5	2	15	64	7	10	0	40%	3.0	10.6%	15.6%	-5.0%	0.0%	1.20	4.18	-0.0
/ 200 IP	—	MLE		67	27	200	853	91	133	0	40%	3.0	10.6%	15.6%	-5.0%	0.0%	1.20	4.18	-0.4

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
Carlos Guerrero (OGILVIE)	—	—	4.97	20.8%	12.9%	2.9%	—	4.72	21.5%	9.9%	20	-0.25	—	—	—
Kobe Robinson R 2022 · 4.49 FIP	21	SW	4.49	23.2%	14.3%	2.8%	.296	3.44	18.8%	4.9%	84	-1.05	2.98	107	89
Eccel Correa R 2023 · 4.39 FIP	20	SW	4.39	19.4%	11.9%	2.6%	.316	4.41	14.0%	2.2%	154	+0.02	3.96	189	89
Felix Arronde R 2023 · 4.42 FIP	20	SW	4.42	20.2%	12.1%	2.7%	.275	4.98	15.8%	5.8%	344	+0.56	4.16	442	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	84
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	83
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	82
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
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	80
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	80
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	80
Engel Daniel Peralta R 2024 · 5.28 FIP	20	SW	5.28	17.7%	15.0%	3.2%	.300	5.89	16.6%	1.2%	33	+0.61	3.34	129	80
Rodolfo Sanchez R 2021 · 4.71 FIP	21	SW	4.71	23.0%	13.6%	3.3%	.264	4.83	19.9%	6.3%	104	+0.12	3.59	255	80
Rafael Gonzalez R 2024 · 4.11 FIP	20	SW	4.11	21.8%	16.3%	1.4%	.303	5.08	15.7%	-4.4%	82	+0.97	3.42	162	79
Julio Goff R 2019 · 4.80 FIP	19	SW	4.80	16.1%	11.9%	2.8%	.364	4.70	16.4%	5.9%	207	-0.10	4.46	251	78
Lisandro Almonte R 2022 · 4.73 FIP	20	SP-	4.73	17.9%	10.3%	3.3%	.310	5.04	20.5%	3.3%	50	+0.31	3.81	128	78
Johzan Oquendo R 2021 · 4.22 FIP	20	SW	4.22	18.4%	14.5%	1.5%	.294	3.65	23.5%	5.7%	113	-0.57	3.62	187	78
Joshua Quezada R 2024 · 4.46 FIP	20	SP-	4.46	18.3%	11.7%	2.6%	.293	4.03	19.6%	10.8%	80	-0.43	3.61	161	78
Joseph Hernandez R 2021 · 4.39 FIP	21	SW	4.39	24.7%	16.7%	2.3%	.348	4.92	18.1%	4.0%	190	+0.53	4.39	260	78
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	78
Kristian Cardozo R 2023 · 4.89 FIP	20	SW	4.89	16.3%	13.5%	2.7%	.358	6.76	13.6%	-4.3%	15	+1.87	3.49	138	78