Brailyn Paulino

P FCL Cardinals

Age 21 RHP 6'0" / 185 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKSTL	10	15	6.60	4.50	18.9%	16.2%	—	K 12.9% · BB 20.3% · FIP 5.48
2026	20	ROKSTL	15	14	6.43	5.96	11.8%	19.7%	—	K 8.1% · BB 24.7% · FIP 6.56
2027PROJ	21	MLBSTL	9	9	6.05	6.05	18.7%	20.0%	-0.1
2028PROJ49% MLB	22	MLBSTL	10	10	5.62	5.45	20.4%	16.6%	-0.1

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 98%

CompsMichael Perez (age 21) · Jackson Rose (age 22) · Hudson Leach (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 148140vR 132

ERA6.05

FIP6.05

K%18.7%

BB%20.0%

K-BB%-1.3%

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)
2023	17	ROK MLE	DSL Cardinals	16	6	29	147	28	20	4	38%	1.8	13.0%	17.0%	-4.1%	4.1%	8.48	6.40	—
2023	17	ROK RAW	DSL Cardinals	16	6	29	147	28	20	4	38%	1.8	19.0%	13.6%	5.4%	2.7%	8.48	5.05	—
2024	18	ROK MLE	DSL Cardinals	15	1	24	123	22	29	1	7%	1.6	12.2%	29.5%	-17.3%	0.9%	6.38	6.28	—
2024	18	ROK MLE	DSL Cardinals	15	1	24	123	22	29	1	7%	1.6	12.2%	29.5%	-17.3%	0.9%	6.38	6.28	—
2024	18	ROK RAW	DSL Cardinals	15	1	24	123	22	29	1	7%	1.6	17.9%	23.6%	-5.7%	0.8%	6.38	5.43	—
2025	19	ROK MLE	FCL Cardinals	10	0	15	74	14	12	1	0%	1.5	12.9%	20.3%	-7.4%	1.6%	6.60	5.48	—
2025	19	ROK MLE	FCL Cardinals	10	0	15	74	14	12	1	0%	1.5	12.9%	20.3%	-7.4%	1.6%	6.60	5.48	—
2025	19	ROK RAW	FCL Cardinals	10	0	15	74	14	12	1	0%	1.5	18.9%	16.2%	2.7%	1.4%	6.60	4.50	—
2026	20	ROK MLE	FCL Cardinals	15	0	14	76	9	15	1	0%	0.9	8.1%	24.7%	-16.6%	1.8%	6.43	6.56	—
2026	20	ROK MLE	FCL Cardinals	15	0	14	76	9	15	1	0%	0.9	8.1%	24.7%	-16.6%	1.8%	6.43	6.56	—
2026	20	ROK RAW	FCL Cardinals	15	0	14	76	9	15	1	0%	0.9	11.8%	19.7%	-7.9%	1.3%	6.43	5.96	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	STL	9	0	9	38	7	8	1	0%	1.0	18.7%	20.0%	-1.3%	2.9%	6.05	6.05	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	STL	19	0	20	84	17	14	2	0%	1.1	20.4%	16.6%	3.8%	2.9%	5.62	5.45	-0.2
2028	22	MLB CTX	STL	10	0	10	42	9	7	1	0%	1.0	20.4%	16.6%	3.8%	2.9%	5.62	5.45	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	8	7	1	0%	1.1	20.4%	16.6%	3.8%	2.9%	5.62	5.07	-0.1
/ 200 IP	—	RAW		190	0	200	844	163	142	20	0%	1.1	20.4%	16.6%	3.8%	2.9%	5.62	5.07	-1.2
Career	—	MLE		56	7	82	420	50	95	10	12%	1.5	11.8%	22.6%	-10.8%	2.3%	7.16	6.23	-0.2
/ 200 IP	—	MLE		137	17	200	1029	122	233	24	12%	1.5	11.8%	22.6%	-10.8%	2.3%	7.16	6.23	-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
Brailyn Paulino (OGILVIE)	—	—	6.05	18.7%	20.0%	2.9%	—	5.45	20.4%	3.8%	20	-0.60	—	—	—
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	90
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	88
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	87
Tommy McCollum R 2021 · 6.21 FIP	22	SU	6.21	17.1%	27.2%	2.0%	.235	3.80	26.4%	10.9%	112	-2.41	2.90	219	85
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	85
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	84
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	84
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	84
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	84
Greg Weissert R 2016 · 5.22 FIP	21	SU	5.22	19.4%	19.3%	2.4%	.382	3.80	23.0%	10.3%	126	-1.42	2.57	487	84
Elison Joseph R 2022 · 4.91 FIP	21	SU	4.91	19.6%	20.3%	1.6%	.310	4.33	24.8%	6.9%	138	-0.58	3.32	217	84
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	83
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	83
Jairo Beras R 2017 · 6.07 FIP	22	SU	6.07	16.4%	16.9%	4.0%	.237	4.35	20.7%	4.5%	96	-1.72	3.48	110	83
Jaydenn Estanista R 2023 · 6.67 FIP	21	SU	6.67	16.7%	25.7%	3.1%	.348	4.95	21.5%	5.6%	143	-1.72	4.59	230	83
Brett Hanewich R 2017 · 5.18 FIP	22	SU	5.18	15.9%	17.6%	2.2%	.372	4.32	20.3%	2.8%	108	-0.86	4.24	134	83
Keith Rogalla R 2017 · 4.87 FIP	21	SU	4.87	15.9%	19.1%	1.3%	.299	3.52	21.2%	9.5%	24	-1.35	3.10	113	83
Bryce McGowan R 2022 · 5.90 FIP	22	SU	5.90	17.0%	22.9%	2.4%	.368	4.36	20.6%	6.6%	145	-1.54	3.71	178	83
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	82
Franklyn German R 2003 · 5.17 FIP	23	SU	5.17	18.5%	18.9%	2.2%	.313	5.27	13.1%	0.1%	86	+0.10	3.37	152	82