Jeremiah Jones

P DSL Giants Black

Age 19 RHP 6'2" / 192 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Giants Bl…	15	2	24	6.85	5.72	17.4%	14.7%	—	K 11.9% · BB 18.3% · FIP 7.18
2026	18	ROKDSL Giants Bl…	12	0	14	9.00	3.89	15.3%	15.3%	—	K 10.4% · BB 19.1% · FIP 4.64
2027PROJ	19	MLB—	10	0	10	5.53	5.53	19.2%	16.2%	-0.1
2028PROJ49% MLB	20	MLB—	10	0	11	5.25	5.14	20.3%	14.0%	-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 100%

CompsAlejandro Lugo (age 18) · Michael Perez (age 21) · Jonathan Jimenez (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138130vR 122

ERA5.53

FIP5.53

K%19.2%

BB%16.2%

K-BB%3.1%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 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)
2025	17	ROK MLE	DSL Giants Black	15	2	24	109	19	16	4	13%	1.6	11.9%	18.3%	-6.5%	5.0%	6.85	7.18	—
2025	17	ROK MLE	DSL Giants Black	15	2	24	109	19	16	4	13%	1.6	11.9%	18.3%	-6.5%	5.0%	6.85	7.18	—
2025	17	ROK RAW	DSL Giants Black	15	2	24	109	19	16	4	13%	1.6	17.4%	14.7%	2.8%	3.7%	6.85	5.72	—
2026	18	ROK MLE	DSL Giants Black	12	0	14	72	11	11	0	0%	1.2	10.4%	19.1%	-8.7%	0.0%	9.00	4.64	—
2026	18	ROK MLE	DSL Giants Black	12	0	14	72	11	11	0	0%	1.2	10.4%	19.1%	-8.7%	0.0%	9.00	4.64	—
2026	18	ROK RAW	DSL Giants Black	12	0	14	72	11	11	0	0%	1.2	15.3%	15.3%	0.0%	0.0%	9.00	3.89	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	10	0	10	42	8	7	1	0%	1.0	19.2%	16.2%	3.1%	3.0%	5.53	5.53	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	21	0	22	95	19	13	3	0%	1.1	20.3%	14.0%	6.3%	2.9%	5.25	5.14	-0.1
2028	20	MLB CTX	—	10	0	11	46	9	7	1	0%	1.1	20.3%	14.0%	6.3%	2.9%	5.25	5.14	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	46	9	7	1	0%	1.1	20.3%	14.0%	6.3%	2.9%	5.25	4.76	-0.0
/ 200 IP	—	RAW		190	0	200	844	163	127	18	0%	1.1	20.3%	14.0%	6.3%	2.9%	5.25	4.76	-0.5
Career	—	MLE		27	2	38	181	20	34	5	7%	1.4	11.3%	18.6%	-7.4%	3.0%	7.65	6.17	-0.2
/ 200 IP	—	MLE		143	11	200	961	108	179	29	7%	1.4	11.3%	18.6%	-7.4%	3.0%	7.65	6.17	-1.4

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
Jeremiah Jones (OGILVIE)	—	—	5.53	19.2%	16.2%	3.0%	—	5.14	20.3%	6.3%	22	-0.39	—	—	—
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	91
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
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	89
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	88
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	85
Tim Naughton R 2017 · 4.53 FIP	21	SU	4.53	17.9%	15.6%	1.8%	.312	3.58	20.7%	6.4%	83	-0.95	2.93	305	85
Raimon Gomez R 2021 · 4.90 FIP	19	SW	4.90	17.3%	13.6%	2.8%	.265	3.28	19.5%	8.0%	48	-1.62	3.28	103	85
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	85
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	84
Alejandro Méndez R 2021 · 5.70 FIP	20	SU	5.70	14.6%	14.5%	3.6%	.321	5.60	15.8%	-7.5%	91	-0.10	4.65	136	84
Kevin Camacho R 2024 · 4.84 FIP	19	SU	4.84	15.3%	12.9%	2.5%	.271	4.71	19.2%	0.8%	68	-0.13	4.12	113	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
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	83
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	83
Gerson Moreno R 2016 · 4.48 FIP	20	SU	4.48	18.6%	14.8%	2.0%	.278	4.13	23.0%	9.1%	67	-0.35	3.37	349	83
Jose Luis Reyes R 2021 · 4.49 FIP	18	SU	4.49	17.0%	16.3%	1.4%	.262	4.59	14.4%	5.4%	145	+0.10	4.49	206	83
Johan Quezada R 2015 · 4.65 FIP	20	SU	4.65	18.0%	17.2%	1.6%	.255	4.39	14.1%	-3.0%	53	-0.26	3.78	234	83
Devon Fisher R 2016 · 4.39 FIP	20	SU	4.39	16.5%	12.5%	2.0%	.333	5.76	15.1%	0.9%	88	+1.37	4.39	102	83
Isaac Gallegos R 2024 · 4.40 FIP	21	SU	4.40	22.9%	17.8%	1.8%	.267	3.09	19.9%	10.5%	106	-1.31	2.89	125	82
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	82