Pablo Medina

P DSL Mets Blue

Age 20 LHP 6'6" / 192 lbs ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKDSL Mets Blue	16	27	4.94	2.04	29.3%	8.1%	—	K 19.9% · BB 10.2% · FIP 3.28
2027PROJ	20	MLBNYM	15	16	4.42	4.42	22.7%	9.7%	0.0
2028PROJ49% MLB	21	MLBNYM	12	13	4.34	4.29	23.2%	9.3%	0.0

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

Contract

No contract data on file.

CompsDenny Bentley (age 20) · Abdallah Aris (age 20) · Nick Dombkowski (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 101109vR 117

ERA4.42

FIP4.42

K%22.7%

BB%9.7%

K-BB%13.0%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 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)
2025	18	ROK MLE	DSL Mets Blue	16	0	27	123	36	10	1	0%	1.7	19.9%	10.2%	9.7%	1.0%	4.94	3.28	—
2025	18	ROK MLE	DSL Mets Blue	16	0	27	123	36	10	1	0%	1.7	19.9%	10.2%	9.7%	1.0%	4.94	3.28	—
2025	18	ROK RAW	DSL Mets Blue	16	0	27	123	36	10	1	0%	1.7	29.3%	8.1%	21.1%	0.8%	4.94	2.04	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	NYM	15	0	16	68	15	7	2	0%	1.1	22.7%	9.7%	13.0%	3.0%	4.42	4.42	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	NYM	25	0	26	109	25	10	3	0%	1.0	23.2%	9.3%	13.9%	2.9%	4.34	4.29	+0.1
2028	21	MLB CTX	NYM	12	0	13	55	13	5	2	0%	1.1	23.2%	9.3%	13.9%	2.9%	4.34	4.29	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	13	54	12	5	2	0%	1.1	23.2%	9.3%	13.9%	2.9%	4.34	3.91	+0.1
/ 200 IP	—	RAW		190	0	200	844	189	79	32	0%	1.1	23.2%	9.3%	13.9%	2.9%	4.34	3.91	+1.5
Career	—	MLE		16	0	27	123	24	12	1	0%	1.7	19.9%	10.2%	9.7%	1.0%	4.94	3.28	+0.1
/ 200 IP	—	MLE		117	0	200	900	179	91	9	0%	1.7	19.9%	10.2%	9.7%	1.0%	4.94	3.28	+0.6

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
Pablo Medina (OGILVIE)	—	—	4.42	22.7%	9.7%	3.0%	—	4.29	23.2%	13.9%	26	-0.13	—	—	—
Denny Bentley L 2018 · 4.85 FIP	20	SU	4.85	19.6%	10.3%	3.8%	.318	2.88	25.4%	10.3%	58	-1.97	2.88	175	86
Abdallah Aris L 2017 · 3.63 FIP	20	SU	3.63	22.4%	11.3%	1.8%	.341	—	—	—	—	—	3.49	109	84
Nick Dombkowski L 2021 · 4.48 FIP	22	SU	4.48	21.3%	8.8%	3.7%	.208	4.71	16.7%	7.7%	223	+0.23	3.71	425	83
Ronnie Glenn L 2015 · 3.47 FIP	22	SU	3.47	20.9%	9.9%	1.6%	.330	5.00	11.1%	-2.6%	171	+1.53	3.47	212	83
Garvin Alston L 2019 · 4.29 FIP	22	SU	4.29	19.7%	6.6%	3.7%	.333	4.74	16.4%	2.9%	84	+0.45	3.98	232	82
Harry Gustin L 2024 · 3.91 FIP	22	SU	3.91	20.7%	11.0%	2.1%	.331	4.33	22.9%	12.7%	109	+0.42	3.70	152	81
Oddanier Mosqueda L 2019 · 3.74 FIP	20	SU	3.74	22.8%	11.1%	2.1%	.308	4.10	25.7%	14.1%	106	+0.36	3.05	433	81
Andrew Mitchell L 2018 · 3.75 FIP	23	SU	3.75	21.8%	7.5%	2.8%	.333	2.71	23.8%	15.8%	78	-1.04	2.51	119	81
Connor Curlis L 2018 · 3.49 FIP	21	SU	3.49	19.3%	10.8%	1.2%	.306	6.08	16.6%	4.6%	172	+2.59	3.49	309	81
Marlon Perez L 2022 · 3.30 FIP	22	SU	3.30	20.5%	9.0%	1.4%	.250	4.15	22.9%	12.2%	103	+0.85	3.30	145	81
Vance Tatum L 2016 · 5.04 FIP	21	SU	5.04	17.2%	9.7%	3.9%	.319	5.06	15.6%	2.3%	85	+0.02	4.90	116	80
Zach Morris L 2015 · 3.59 FIP	22	SU	3.59	18.5%	10.1%	1.4%	.286	4.38	13.9%	2.4%	84	+0.79	3.34	109	80
Will Ohman L 2001 · 4.66 FIP	23	SU	4.66	22.2%	11.1%	3.7%	.353	—	—	—	—	—	2.88	350	80
Dominic LoBrutto L 2018 · 3.22 FIP	22	SU	3.22	21.4%	6.9%	1.9%	.333	3.44	17.8%	10.6%	84	+0.22	2.99	135	80
Keylan Killgore L 2019 · 4.23 FIP	22	SU	4.23	20.7%	12.7%	2.3%	.307	—	—	—	—	—	3.73	161	79
Daniel Zamora L 2016 · 3.57 FIP	23	SU	3.57	20.3%	10.8%	1.5%	.294	2.75	24.7%	16.8%	135	-0.82	2.15	310	78
Kenny Rosenberg L 2016 · 3.65 FIP	21	SU	3.65	20.8%	6.9%	2.6%	.313	4.64	17.3%	6.9%	361	+0.99	3.44	755	78
Johnathan Frebis L 2015 · 3.81 FIP	22	SU	3.81	17.0%	9.4%	1.8%	.245	4.24	9.7%	-0.6%	124	+0.43	3.81	146	77
Jonathan Hennigan L 2017 · 4.08 FIP	22	SU	4.08	22.0%	13.6%	2.0%	.341	3.57	17.5%	5.8%	119	-0.51	3.46	265	77
Kelvin Bautista L 2019 · 3.26 FIP	20	SU	3.26	26.5%	13.8%	1.2%	.328	4.37	17.2%	-2.0%	79	+1.11	3.16	283	77