Jose Vielma

P DSL Mets Orange

Age 20 RHP 6'1" / 176 lbs ROK peak 0.3 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKDSL Mets Blue	9	8	21	6.53	2.33	20.8%	8.3%	—	K 14.2% · BB 10.4% · FIP 3.22
2026	19	ROKDSL Mets Oran…	5	2	12	6.00	2.43	26.5%	12.2%	—	K 26.5% · BB 12.2% · FIP 2.41
2027PROJ	20	MLBNYM	2	2	12	4.50	4.50	21.9%	9.8%	0.1
2028PROJ49% MLB	21	MLBNYM	2	2	10	4.41	4.36	22.5%	9.3%	0.1

Next 2 projected WAR 0.1Projected 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 99%

CompsFraynel Nova (age 20) · Miguel Díaz (age 20) · Carson Rudd (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 102

ERA4.50

FIP4.50

K%21.9%

BB%9.8%

K-BB%12.1%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†5055

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	9	8	21	96	20	8	0	89%	2.3	14.2%	10.4%	3.8%	0.0%	6.53	3.22	—
2025	18	ROK MLE	DSL Mets Blue	9	8	21	96	20	8	0	89%	2.3	14.2%	10.4%	3.8%	0.0%	6.53	3.22	—
2025	18	ROK RAW	DSL Mets Blue	9	8	21	96	20	8	0	89%	2.3	20.8%	8.3%	12.5%	0.0%	6.53	2.33	—
2026	19	ROK MLE	DSL Mets Orange	5	2	12	49	13	6	0	40%	2.4	26.5%	12.2%	14.3%	0.0%	6.00	2.41	—
2026	19	ROK MLE	DSL Mets Orange	5	2	12	49	13	6	0	40%	2.4	26.5%	12.2%	14.3%	0.0%	6.00	2.41	—
2026	19	ROK RAW	DSL Mets Orange	5	2	12	49	13	6	0	40%	2.4	26.5%	12.2%	14.3%	0.0%	6.00	2.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	NYM	2	2	12	51	11	5	1	100%	6.0	21.9%	9.8%	12.1%	3.0%	4.50	4.50	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	NYM	4	4	20	84	19	8	2	100%	5.0	22.5%	9.3%	13.1%	2.9%	4.41	4.36	+0.1
2028	21	MLB CTX	NYM	2	2	10	42	9	4	1	100%	5.0	22.5%	9.3%	13.1%	2.9%	4.41	4.36	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	9	4	1	100%	4.9	22.5%	9.3%	13.1%	2.9%	4.41	3.98	+0.1
/ 200 IP	—	RAW		41	41	200	844	183	81	20	100%	4.8	22.5%	9.3%	13.1%	2.9%	4.41	3.98	+2.2
Career	—	MLE		14	10	33	145	27	16	0	71%	2.3	18.3%	11.0%	7.3%	0.0%	6.34	2.95	+0.1
/ 200 IP	—	MLE		86	61	200	888	163	98	0	71%	2.3	18.3%	11.0%	7.3%	0.0%	6.34	2.95	+1.3

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
Jose Vielma (OGILVIE)	—	—	4.50	21.9%	9.8%	3.0%	—	4.36	22.5%	13.1%	20	-0.14	—	—	—
Fraynel Nova R 2022 · 3.83 FIP	20	SP-	3.83	16.4%	7.9%	2.0%	.296	4.17	14.9%	4.9%	110	+0.34	3.38	129	82
Miguel Díaz R 2015 · 3.40 FIP	20	SP-	3.40	19.3%	7.7%	1.7%	.365	4.40	19.4%	8.2%	233	+1.00	2.11	573	81
Carson Rudd R 2021 · 3.39 FIP	22	SP-	3.39	25.4%	10.6%	2.0%	.351	5.24	21.6%	5.6%	193	+1.85	3.39	242	80
Joelvis Del Rosario R 2021 · 3.76 FIP	20	SP-	3.76	22.5%	8.0%	2.8%	.315	4.97	14.6%	6.0%	197	+1.21	3.13	286	79
Ryan Fernandez R 2018 · 4.44 FIP	20	SP-	4.44	19.2%	6.8%	3.8%	.357	3.37	20.8%	13.2%	53	-1.07	3.02	363	79
Caleb Sampen R 2018 · 3.46 FIP	22	SP	3.46	21.7%	8.3%	2.1%	.358	3.49	15.2%	6.8%	139	+0.03	3.09	213	79
Clarke Schmidt R 2018 · 3.53 FIP	22	SP	3.53	23.1%	8.5%	2.4%	.324	3.26	21.3%	13.1%	108	-0.27	2.77	537	78
Pedro Reyes R 2023 · 4.17 FIP	20	SP-	4.17	18.0%	9.2%	2.6%	.159	4.92	11.0%	0.5%	90	+0.75	2.87	180	78
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	78
Chad Donato R 2017 · 3.85 FIP	22	SP-	3.85	20.9%	11.4%	2.0%	.333	3.99	21.4%	12.6%	184	+0.14	2.89	439	77
Hunter Gregory R 2022 · 3.90 FIP	23	SP-	3.90	21.2%	8.7%	2.7%	.374	4.56	20.4%	7.9%	188	+0.66	3.84	249	76
Connor Cooke R 2022 · 3.35 FIP	22	SP-	3.35	23.7%	8.4%	2.2%	.350	4.10	24.4%	11.8%	56	+0.75	2.93	103	76
Grant Holman R 2021 · 5.55 FIP	21	SP-	5.55	18.2%	7.7%	5.5%	.308	3.66	22.2%	14.1%	133	-1.89	3.02	203	76
Jared Ruxer R 2015 · 4.16 FIP	23	SP-	4.16	17.3%	10.6%	2.1%	.333	4.29	14.9%	7.5%	240	+0.13	3.39	270	76
Colin Fields R 2023 · 3.62 FIP	23	SP-	3.62	20.5%	10.3%	1.7%	.246	3.86	22.0%	13.3%	208	+0.24	2.87	254	76
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	75
Lisandro Almonte R 2022 · 4.73 FIP	20	SP-	4.73	17.9%	10.3%	3.3%	.310	5.04	20.5%	3.3%	50	+0.31	3.81	128	75
Gabe Bierman R 2021 · 4.80 FIP	21	SP-	4.80	21.3%	11.8%	3.6%	.277	4.51	16.2%	4.0%	187	-0.29	4.03	328	75
Nicholas Economos R 2015 · 4.95 FIP	20	SP-	4.95	15.3%	10.7%	3.3%	.233	5.28	10.4%	0.6%	57	+0.33	4.40	223	75
Miguel Alfonseca R 2021 · 4.19 FIP	21	SP-	4.19	18.3%	12.1%	2.0%	.400	5.36	14.9%	-0.9%	92	+1.17	4.19	123	74