Sebastian Pulido

P FCL Twins

Age 21 RHP 6'2" / 203 lbs ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	18	ROKMIN	13	20	5.03	2.95	16.7%	4.8%	—	K 11.3% · BB 6.0% · FIP 3.87
2025	19	ROKMIN	6	9	5.79	3.74	25.0%	11.4%	—	K 25.0% · BB 11.4% · FIP 3.68
2027PROJ	21	MLBMIN	11	12	4.27	4.27	22.8%	8.5%	0.0
2028PROJ49% MLB	22	MLBMIN	10	10	4.18	4.12	23.7%	8.1%	0.1

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsAddison Russ (age 22) · Collin Kober (age 22) · Devon Roedahl (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114106vR 98

ERA4.27

FIP4.27

K%22.8%

BB%8.5%

K-BB%14.3%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†5555

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	18	ROK MLE	DSL Twins	13	0	20	84	14	4	1	0%	1.5	11.3%	6.0%	5.4%	1.8%	5.03	3.87	—
2024	18	ROK MLE	DSL Twins	13	0	20	84	14	4	1	0%	1.5	11.3%	6.0%	5.4%	1.8%	5.03	3.87	—
2024	18	ROK RAW	DSL Twins	13	0	20	84	14	4	1	0%	1.5	16.7%	4.8%	11.9%	1.2%	5.03	2.95	—
2025	19	ROK MLE	FCL Twins	6	0	9	44	11	5	1	0%	1.6	25.0%	11.4%	13.6%	2.3%	5.79	3.68	—
2025	19	ROK MLE	FCL Twins	6	0	9	44	11	5	1	0%	1.6	25.0%	11.4%	13.6%	2.3%	5.79	3.68	—
2025	19	ROK RAW	FCL Twins	6	0	9	44	11	5	1	0%	1.6	25.0%	11.4%	13.6%	2.3%	5.79	3.74	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	MIN	11	0	12	51	12	4	2	0%	1.1	22.8%	8.5%	14.3%	3.0%	4.27	4.27	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	MIN	19	0	20	84	20	7	2	0%	1.1	23.7%	8.1%	15.6%	2.9%	4.18	4.12	+0.1
2028	22	MLB CTX	MIN	10	0	10	42	10	3	1	0%	1.0	23.7%	8.1%	15.6%	2.9%	4.18	4.12	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	10	3	1	0%	1.1	23.7%	8.1%	15.6%	2.9%	4.18	3.74	+0.1
/ 200 IP	—	RAW		190	0	200	844	203	61	20	0%	1.1	23.7%	8.1%	15.6%	2.9%	4.18	3.74	+1.9
Career	—	MLE		19	0	29	128	21	10	2	0%	1.5	16.0%	7.8%	8.2%	1.9%	5.28	3.80	+0.1
/ 200 IP	—	MLE		131	0	200	883	142	69	17	0%	1.5	16.0%	7.8%	8.2%	1.9%	5.28	3.80	+1.0

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
Sebastian Pulido (OGILVIE)	—	—	4.27	22.8%	8.5%	3.0%	—	4.12	23.7%	15.6%	20	-0.15	—	—	—
Addison Russ R 2017 · 3.62 FIP	22	SU	3.62	22.2%	7.9%	2.5%	.324	3.09	25.6%	17.5%	121	-0.53	3.08	194	90
Collin Kober R 2017 · 3.39 FIP	22	SU	3.39	21.3%	7.5%	2.1%	.268	2.76	24.0%	17.9%	128	-0.63	2.38	294	89
Devon Roedahl R 2019 · 3.94 FIP	22	SU	3.94	19.7%	6.7%	3.0%	.305	4.64	16.5%	9.2%	100	+0.70	3.94	122	89
Michael Gomez R 2019 · 3.32 FIP	22	SU	3.32	22.6%	9.2%	1.8%	.283	3.81	17.9%	8.3%	110	+0.49	3.27	286	89
Jeff Bain R 2017 · 3.94 FIP	21	SU	3.94	19.7%	6.7%	3.0%	.339	4.22	19.1%	10.7%	274	+0.28	3.35	475	88
Kenny Oakley R 2016 · 3.50 FIP	22	SU	3.50	23.8%	9.1%	2.3%	.348	3.87	17.3%	7.8%	115	+0.37	3.13	144	88
Jorge Julio R 2001 · 3.48 FIP	22	SU	3.48	22.2%	9.1%	2.0%	.348	4.31	20.4%	10.1%	199	+0.83	3.48	467	87
Sean Boyle R 2018 · 4.70 FIP	21	SU	4.70	21.3%	7.8%	4.4%	.342	2.87	22.6%	15.3%	86	-1.83	2.87	548	87
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	87
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	87
Sandy Lugo R 2015 · 3.86 FIP	21	SU	3.86	20.7%	9.5%	2.4%	.352	3.98	23.6%	12.5%	119	+0.12	3.48	146	87
Danny Dopico R 2015 · 3.87 FIP	21	SU	3.87	25.4%	10.8%	2.8%	.333	3.90	22.8%	8.1%	173	+0.03	3.00	318	86
Brandon White R 2016 · 3.14 FIP	21	SU	3.14	25.9%	7.9%	2.2%	.294	3.50	17.3%	8.4%	166	+0.36	3.13	221	86
Reilly Hovis R 2017 · 4.28 FIP	23	SU	4.28	21.1%	7.7%	3.6%	.250	4.36	19.8%	6.4%	50	+0.08	4.28	130	86
Kevin Coulter R 2019 · 3.27 FIP	22	SU	3.27	21.0%	7.4%	1.8%	.287	4.51	16.1%	7.6%	92	+1.24	3.27	128	85
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	85
Nick Lockhart R 2022 · 4.44 FIP	21	SU	4.44	22.0%	9.9%	3.5%	.275	4.63	16.1%	5.5%	43	+0.19	4.44	140	85
Peyton Williams R 2021 · 3.69 FIP	23	SU	3.69	22.3%	10.3%	2.1%	.311	4.82	22.2%	10.2%	100	+1.13	3.69	123	85
Tyler Bray R 2015 · 4.07 FIP	23	SU	4.07	22.3%	9.1%	3.1%	.356	3.21	17.9%	7.6%	114	-0.86	2.82	152	85
Scott Williams R 2015 · 3.39 FIP	21	SU	3.39	22.0%	8.6%	1.9%	.238	3.73	19.3%	10.5%	76	+0.34	2.89	119	85