Noslen Marquez

P FCL Braves

Age 22 RHP 6'0" / 165 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKATL	11	1	25	8.39	4.15	18.5%	19.4%	—	K 12.6% · BB 24.2% · FIP 5.10
2025	20	ROKATL	12	0	20	3.66	5.95	6.2%	14.6%	—	K 4.2% · BB 18.2% · FIP 6.92
2027PROJ	22	MLBATL	11	0	12	5.42	5.42	19.8%	15.6%	-0.1
2028PROJ49% MLB	23	MLBATL	10	0	10	5.14	5.03	21.1%	13.5%	-0.1

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

Contract

No contract data on file.

CompsBrandon Dufault (age 22) · Paul Gervase (age 22) · Tyler Smith (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136128vR 120

ERA5.42

FIP5.42

K%19.8%

BB%15.6%

K-BB%4.2%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 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)
2024	19	ROK MLE	DSL Braves	11	1	25	124	23	24	0	9%	2.2	12.6%	24.2%	-11.6%	0.0%	8.39	5.10	—
2024	19	ROK MLE	DSL Braves	11	1	25	124	23	24	0	9%	2.2	12.6%	24.2%	-11.6%	0.0%	8.39	5.10	—
2024	19	ROK RAW	DSL Braves	11	1	25	124	23	24	0	9%	2.2	18.5%	19.4%	-0.8%	0.0%	8.39	4.15	—
2025	20	ROK MLE	FCL Braves	12	0	20	96	6	14	2	0%	1.6	4.2%	18.2%	-14.0%	3.4%	3.66	6.92	—
2025	20	ROK MLE	FCL Braves	12	0	20	96	6	14	2	0%	1.6	4.2%	18.2%	-14.0%	3.4%	3.66	6.92	—
2025	20	ROK RAW	FCL Braves	12	0	20	96	6	14	2	0%	1.6	6.2%	14.6%	-8.3%	2.1%	3.66	5.95	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	ATL	11	0	12	51	10	8	2	0%	1.1	19.8%	15.6%	4.2%	3.0%	5.42	5.42	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	ATL	19	0	20	84	18	11	2	0%	1.1	21.1%	13.5%	7.6%	2.9%	5.14	5.03	-0.1
2028	23	MLB CTX	ATL	10	0	10	42	9	6	1	0%	1.0	21.1%	13.5%	7.6%	2.9%	5.14	5.03	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	6	1	0%	1.1	21.1%	13.5%	7.6%	2.9%	5.14	4.65	-0.0
/ 200 IP	—	RAW		190	0	200	844	183	122	20	0%	1.1	21.1%	13.5%	7.6%	2.9%	5.14	4.65	-0.2
Career	—	MLE		23	1	44	220	20	48	3	4%	1.9	9.0%	21.6%	-12.6%	1.5%	6.29	5.89	-0.1
/ 200 IP	—	MLE		104	5	200	992	89	214	15	4%	1.9	9.0%	21.6%	-12.6%	1.5%	6.29	5.89	-1.1

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
Noslen Marquez (OGILVIE)	—	—	5.42	19.8%	15.6%	3.0%	—	5.03	21.1%	7.6%	20	-0.39	—	—	—
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	89
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	89
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	88
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	88
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	87
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	87
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	87
Tyler Santana R 2021 · 4.28 FIP	23	SU	4.28	20.3%	15.1%	1.8%	.333	4.37	16.0%	5.7%	259	+0.09	3.37	401	87
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	87
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	87
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	87
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	87
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	86
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	86
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	85
Junior Montero R 2021 · 4.54 FIP	22	SU	4.54	18.5%	15.8%	1.8%	.319	5.31	20.2%	-3.7%	32	+0.77	4.54	100	85
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	85
Audry Lugo R 2021 · 4.82 FIP	22	SU	4.82	17.6%	15.8%	2.2%	.333	5.76	13.7%	-2.6%	39	+0.94	4.05	113	84
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	84
Drew Pestka R 2024 · 4.26 FIP	20	SU	4.26	19.0%	15.1%	1.6%	.298	4.55	18.1%	0.7%	83	+0.29	3.42	100	84