Christopher Quiroz

P DSL Mariners

Age 19 RHP 6'1" / 160 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKSEA	10	5	30	3.03	3.64	18.7%	16.4%	—	K 12.7% · BB 20.5% · FIP 4.63
2026	18	ROKSEA	9	1	7	19.64	9.65	14.3%	30.4%	—	K 9.7% · BB 37.9% · FIP 8.46
2027PROJ	19	MLBSEA	9	0	9	5.99	5.99	19.4%	20.0%	-0.1
2028PROJ49% MLB	20	MLBSEA	13	0	14	5.61	5.47	20.4%	16.8%	-0.1

Next 2 projected WAR -0.3Projected 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 1% · didn't stick 99%

CompsOver Galue (age 20) · Anthony Cruz (age 19) · Will Kobos (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 131

ERA5.99

FIP5.99

K%19.4%

BB%20.0%

K-BB%-0.6%

Proj IP9

Value2027 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

K†4550

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	17	ROK MLE	DSL Mariners	10	5	30	134	25	22	0	50%	3.0	12.7%	20.5%	-7.8%	0.0%	3.03	4.63	—
2025	17	ROK MLE	DSL Mariners	10	5	30	134	25	22	0	50%	3.0	12.7%	20.5%	-7.8%	0.0%	3.03	4.63	—
2025	17	ROK RAW	DSL Mariners	10	5	30	134	25	22	0	50%	3.0	18.7%	16.4%	2.2%	0.0%	3.03	3.64	—
2026	18	ROK MLE	DSL Mariners	9	1	7	56	8	17	1	11%	0.8	9.7%	37.9%	-28.2%	2.5%	19.64	8.46	—
2026	18	ROK MLE	DSL Mariners	9	1	7	56	8	17	1	11%	0.8	9.7%	37.9%	-28.2%	2.5%	19.64	8.46	—
2026	18	ROK RAW	DSL Mariners	9	1	7	56	8	17	1	11%	0.8	14.3%	30.4%	-16.1%	1.8%	19.64	9.65	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	SEA	9	0	9	38	7	8	1	0%	1.0	19.4%	20.0%	-0.6%	2.9%	5.99	5.99	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	SEA	27	0	28	118	24	20	3	0%	1.0	20.4%	16.8%	3.6%	2.9%	5.61	5.47	-0.3
2028	20	MLB CTX	SEA	13	0	14	59	12	10	2	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.61	5.47	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	14	58	12	10	2	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.61	5.09	-0.1
/ 200 IP	—	RAW		190	0	200	844	174	145	29	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.61	5.09	-1.3
Career	—	MLE		19	6	37	190	22	49	1	32%	1.9	11.8%	25.7%	-13.8%	0.7%	6.32	5.76	-0.3
/ 200 IP	—	MLE		103	32	200	1027	121	264	8	32%	1.9	11.8%	25.7%	-13.8%	0.7%	6.32	5.76	-2.1

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
Christopher Quiroz (OGILVIE)	—	—	5.99	19.4%	20.0%	2.9%	—	5.47	20.4%	3.6%	28	-0.52	—	—	—
Over Galue R 2021 · 5.01 FIP	20	SW	5.01	17.5%	17.0%	2.2%	.346	4.16	18.2%	3.6%	94	-0.85	4.16	122	86
Anthony Cruz R 2022 · 5.38 FIP	19	SW	5.38	16.7%	16.6%	2.9%	.237	4.19	18.2%	5.6%	180	-1.19	3.32	272	85
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	84
Angel Peralta R 2024 · 6.70 FIP	17	SW	6.70	19.0%	29.7%	2.6%	.200	4.28	15.9%	2.0%	84	-2.42	3.81	107	83
Yeiber Cartaya R 2022 · 5.86 FIP	19	SW	5.86	14.4%	21.1%	2.4%	.256	4.45	19.9%	2.0%	195	-1.41	4.12	283	83
Randel Clemente R 2021 · 5.99 FIP	19	SW	5.99	14.3%	21.7%	2.4%	.270	4.60	21.8%	-1.8%	88	-1.39	3.74	214	83
Aneudis Mejia R 2023 · 7.12 FIP	19	SW	7.12	18.7%	29.9%	3.3%	.404	5.03	16.9%	1.3%	102	-2.09	4.36	122	82
Raimon Gomez R 2021 · 4.90 FIP	19	SW	4.90	17.3%	13.6%	2.8%	.265	3.28	19.5%	8.0%	48	-1.62	3.28	103	81
Junior Pina R 2022 · 5.93 FIP	19	SW	5.93	15.7%	22.4%	2.4%	.263	6.65	9.7%	-20.4%	26	+0.72	4.72	115	81
Ben Peoples R 2019 · 6.28 FIP	18	SW	6.28	21.8%	27.5%	2.8%	.227	4.51	23.0%	9.1%	103	-1.77	3.56	365	81
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	80
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	80
Juan Arnaud R 2022 · 6.33 FIP	19	SU	6.33	14.6%	23.7%	2.7%	.330	4.40	18.8%	1.6%	102	-1.93	3.43	184	79
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	79
Kai Wynyard R 2021 · 5.35 FIP	19	SW	5.35	19.0%	26.2%	1.0%	.375	3.85	18.2%	6.5%	129	-1.50	3.32	257	78
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	78
Aidan Curry R 2021 · 5.05 FIP	19	SU	5.05	18.4%	20.6%	1.6%	.450	4.87	20.8%	9.2%	211	-0.18	3.34	410	78
Erian Rodriguez R 2022 · 5.51 FIP	20	SU	5.51	16.2%	19.8%	2.3%	.378	4.16	16.2%	3.6%	241	-1.35	3.81	287	78
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	78
Cesar Espinal R 2024 · 5.75 FIP	18	SW	5.75	16.8%	25.5%	1.5%	.300	6.38	15.7%	-1.8%	36	+0.63	4.28	109	78